Authors: Lorenzo Arsini, Andrea Ciardiello, Fabio Massimo D'Amore, Stefano Giagu, Federico Giove, Carlo Mancini-Terracciano, Cecilia Voena
Affiliation: Istituto Superiore di SanitĆ , Sapienza University of Rome, UniversitĆ Sapienza Roma, Magnetic Resonance for Brain Investigation Laboratory, Museo Storico della Fisica e Centro di Studi e Ricerche Enrico Fermi
Abstract Preview: Purpose: To leverage newly developed heteronuclear magnetic resonance imaging (MRI) techniques, particularly sodium (23Na) imaging, for identifying potential biomarkers of Alzheimer's diseaseāsuch as ...
Authors: Ishika Bhaumik, John M. Boone, Michael T Corwin, Eric S Diaz, Ahmadreza Ghasemiesfe, Andrew M. Hernandez, Sarah E. McKenney, Misagh Piran, Ali Uneri, Eric L White
Affiliation: UC Davis, UC Davis Health, University of California, Johns Hopkins Univ
Abstract Preview: Purpose: A new model CT scanner (Canon Aquilion One Insight) was recently installed at our institution, and it included a 3D Landmark (3DLM) scan for automatic scan planning, a new deep learning recon...
Authors: Weixing Cai, Laura I. Cervino, Yabo Fu, Bohong Huang, Licheng Kuo, Tianfang Li, Xiang Li, Jean M. Moran, Huiqiao Xie, Hao Zhang
Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: Four-dimensional cone-beam computed tomography (4D-CBCT) is critical in image-guided radiotherapy (IGRT) for visualizing tumor motion. However, sparse projection sampling often introduces sev...
Authors: Yunxiang Li, Hua-Chieh Shao, Chenyang Shen, Jing Wang, Jiacheng Xie, Shunyu Yan, You Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas at Dallas
Abstract Preview: Purpose: Accurate liver deformable motion tracking is essential in image-guided radiotherapy to enable precise tumor targeting during treatment. We developed a conditional point cloud diffusion model ...
Authors: Mubasheer Chombakkadath, Tara E. Tyson, Iris Z. Wang
Affiliation: Roswell Park Comprehensive Cancer Center, University at Buffalo (SUNY)
Abstract Preview: Purpose: Deformable image registration (DIR) is critical in adaptive radiation therapy (ART). Existing DIR phantoms either simulate tumor shape or volume changes but lack comprehensive motion simulati...
Authors: Ross I. Berbeco, Vera Birrer, Raphael Bruegger, Pablo Corral Arroyo, Roshanak Etemadpour, Dianne M. Ferguson, Rony Fueglistaller, Thomas C. Harris, Yue-Houng Hu, Matthew W. Jacobson, Mathias Lehmann, Nicholas Lowther, Daniel Morf, Marios Myronakis
Affiliation: Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, Dana Farber/Brigham and Women's Cancer Center, Department of Radiation Oncology, Brigham and Womenās Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Womens Hospital, Dana Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Varian Imaging Laboratory, Dana-Farber Cancer Institute
Abstract Preview: Purpose: A challenge for dual energy CBCT is that noise and residual errors in material decomposition steps can become amplified when forming low energy, high contrast virtual mono-energetic images (V...
Authors: Emi Ai Eastman, Christina Lee, Xinhua Li, Yifang (Jimmy) Zhou
Affiliation: Cedars-Sinai Medical Center
Abstract Preview: Purpose:
This study aimed to retrospectively evaluate dose reduction efforts in past five years using acquisition-level data and to compare the results with ACR achievable dose (AD) and dose refere...
Authors: Jie Deng, Yunxiang Li, Xiao Liang, Weiguo Lu, Jiacheng Xie, You Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, University of Texas Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas at Dallas
Abstract Preview: Purpose: Recently, foundational models trained on large datasets have shown remarkable performance across various tasks. Developing a foundational model for medical image modality translation in head-...
Authors: Bryan Bednarz, Malick Bio Idrissou, Campbell Haasch, Reinier Hernandez
Affiliation: Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Department of Medical Physics, School of Medicine and Public Health, University of WisconsināMadison, University of Wisconsin - Madison
Abstract Preview: Purpose: Quantitative optical imaging is a powerful tool in murine models for assessing tumor growth and metastatic spread using bioluminescence imaging (BLI) and for detecting radiopharmaceutical upt...
Authors: Eric Chang, Nguyen Phuong Dang, Andrew Lim, Lauren Lukas, Lijun Ma, Yutaka Natsuaki, Zhengzheng Xu, Hualin Zhang
Affiliation: Radiation Oncology, Keck School of Medicine of USC
Abstract Preview: Purpose: Harnessed the power of AI and Deep Learning (DL), Generalized Neural Network models for medical image transformation are trained to predict target images from reference images, often requirin...
Authors: Si-Wa Chan, Yuan-Yu Lee, Zhi-Ying Li, Jia-Wei Liao, Hui-Yu Cathy Tsai
Affiliation: Department of Radiology, Taichung Veterans General Hospitalā, Institute of Nuclear Engineering and Science, National Tsing Hua University
Abstract Preview: Purpose: Dense breast tissue reduces the sensitivity of mammography, posing diagnostic challenges, especially for Asian women with high breast density (up to 50%). Current single-modality techniques o...
Authors: Shari Damast, Svetlana Kuznetsova, Christopher J. Tien
Affiliation: Yale University School of Medicine, Department of Therapeutic Radiology, Yale University School of Medicine
Abstract Preview: Purpose: Current contour similarity evaluation approaches (Dice Similarity Coefficient, Mean Distance to Agreement) are limited to geometric agreement without assessment of ultimate dosimetric impact....
Authors: Xiaoying Pan, X. Sharon Qi
Affiliation: Department of Radiation Oncology, University of California, Los Angeles, School of Computer Science and technology,Xi'an University of Posts and Telecommunications
Abstract Preview: Purpose:
Survival prediction for cancer presents a substantial hurdle in personalized oncology, due to intricate, high-dimensional medical data. Our study introduces an innovative feature selection...
Authors: Doris Dimitriadis/Dimitriadou, M. Saiful Huq, Ronald John Lalonde, Fang Li, Noor Mail, Adam Olson
Affiliation: UPMC Hillman Cancer Center, UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, UPMC
Abstract Preview: Purpose: The objective of this study was to qualitatively evaluate Prostate Hypersight Cone-Beam CT (HSCBCT) images and assess its capability for Limbus auto-contouring. The qualitative evaluation and...
Authors: Denisa R. Goia, M. Saiful Huq, Ronald John Lalonde, Fang Li, Noor Mail, Joseph Shields, Christopher Tyerech
Affiliation: UPMC Hillman Cancer Center, UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Department of Radiation Oncology, University of Pennsylvania, UPMC
Abstract Preview: Purpose: HyperSight is a new platform for image-guided radiation therapy, offering advanced reconstruction algorithms, a large field-of-view, and rapid acquisition times. To validate the performance o...
Authors: Ruiyan Du, Mingzhu Li, Ying Li, Wei Liu, Shihuan Qin, Yiming Ren, Biao Tu, Hui Xu, Lian Zhang, Xiao Zhang, Zengren Zhao
Affiliation: Department of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Medical AI Lab, The First Hospital of Hebei Medical University, Hebei Provincial Engineering Research Center for AI-Based Cancer Treatment Decision-Making, The First Hospital of Hebei Medical University, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Department of Radiation Oncology, Mayo Clinic, Department of Oncology, The First Hospital of Hebei Medical University
Abstract Preview: Purpose: Fiducial tracking is widely used in CyberKnife to dynamically guide the gantry for moving target like liver cancer stereotactic body radiation therapy (SBRT). This study developed a robust fr...
Authors: Asma Amjad, Renae Conlin, Beth A. Erickson, William Hall, Eric S. Paulson, Christina M. Sarosiek
Affiliation: Department of Radiation Oncology, Medical College of Wisconsin
Abstract Preview: Purpose: The adapt-to-shape (ATS) workflow on the MR-Linac involves manual contour edits followed by treatment plan reoptimization on daily pre-beam MRIs. A verification image is acquired after plan o...
Authors: Phillip Cuculich, Geoffrey D. Hugo, Xiwen Li, Michael T. Prusator, Clifford Robinson, Pamela Samson, Xue Wu
Affiliation: Washington University School of Medicine in St Louis, Washington University School of Medicine in St. Louis, University of Utah, WashU Medicine
Abstract Preview: Purpose:
For development of novel motion management methods it is useful to have a digital phantom capable of realistic simulation of respiratory 4DCT acquisition of the thorax, including cycle-to-...
Authors: Yunxiang Li, Xinlong Zhang, You Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose: Acquiring high-resolution (HR) proton density (PD) images is time-consuming, while lower-resolution (LR) PD scans are faster but can lack sufficient details. We propose CycleHR, a T2-contrast...
Authors: Amir Abdollahi, Oliver JƤkel, Maxmillian Knoll, Rakshana Murugan, Adithya Raman, Patrick Salome
Affiliation: UKHD & DKFZ, Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), German Cancer Research Centre(DKFZ), DKFZ, MGH
Abstract Preview: Purpose:
Missing MRI sequences, due to technical issues in data handling or clinical constraints like contrast agent intolerance, limit the use of medical imaging datasets in computational analysis...
Authors: Shae Gans, Carri K. Glide-Hurst, Mark Pankuch, Chase Ruff, Niek Schreuder, Nicholas R. Summerfield, Yuhao Yan
Affiliation: Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Northwestern Medicine Proton Center, Northwestern Medicine Chicago Proton Center, Leo Cancer Care
Abstract Preview: Purpose: Novel upright patient positioners coupled with diagnostic-quality vertical CT at treatment isocenter introduce a significant opportunity for improved image-guided particle therapy. Treating p...
Authors: Cem Altunbas, Farhang Bayat, Roy Bliley, Rupesh Dotel, Brian Kavanagh, Uttam Pyakurel, Tyler Robin, Ryan Sabounchi
Affiliation: Department of Radiation Oncology, University of Colorado School of Medicine, Taussig Cancer Center, Cleveland Clinic, University of Colorado Anschutz Medical Campus
Abstract Preview: Purpose: Automatic segmentation of anatomical structures in CBCT images is key to enabling dose delivery monitoring and online plan modifications in radiotherapy. However, poor image quality can degra...
Authors: Zachary Buchwald, Chih-Wei Chang, Zach Eidex, Richard L.J. Qiu, Mojtaba Safari, Shansong Wang, Xiaofeng Yang, David Yu
Affiliation: Emory University and Winship Cancer Institute, Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University
Abstract Preview: Purpose: MRI offers excellent soft tissue contrast for diagnosis and treatment but suffers from long acquisition times, causing patient discomfort and motion artifacts. To accelerate MRI, supervised d...
Authors: Zhiqiang Chen, Hewei Gao, Li Zhang, Guoxi Zhu
Affiliation: Tsinghua University
Abstract Preview: Purpose: Spectral cone-beam CT has better performance in material identification and quantitative analysis compared to single-energy cone-beam CT. However, X-ray scattering introduces significant scat...
Authors: Jie Hu, Zhengdong Jiang, Nan Li, Tie Lv, Yuqing Xia, Shouping Xu, Gaolong Zhang, Wei Zhao, Changyou Zhong
Affiliation: School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Radiotherapy Department of Meizhou Peopleās Hospital (Huangtang Hospital), UT Health San Antonio, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, PeopleŹ¼s Republic of China, Department of Radiation Oncology
Abstract Preview: Purpose: Patients usually undergo cone-beam computed tomography (CBCT) scans which are used for patient set-up before radiotherapy. However, the low image quality of CBCT hinders its use in adaptive r...
Authors: Ross I. Berbeco, Vera Birrer, Raphael Bruegger, Pablo Corral Arroyo, Roshanak Etemadpour, Dianne M. Ferguson, Rony Fueglistaller, Thomas C. Harris, Yue-Houng Hu, Matthew W. Jacobson, Mathias Lehmann, Marios Myronakis
Affiliation: Medical Physics Department, Medical School, University of Thessaly, Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, Dana Farber/Brigham and Women's Cancer Center, Department of Radiation Oncology, Brigham and Womenās Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Varian Imaging Laboratory
Abstract Preview: Purpose:
Dual-layer kV imager (DLI) architecture enables the capability for single-shot dual-energy (DE) intrafraction imaging. As noise from individual DLI layers are primarily uncorrelated, simpl...
Authors: Phillip Cuculich, Geoffrey D. Hugo, Xiwen Li, Michael T. Prusator, Clifford Robinson, Pamela Samson, Xue Wu
Affiliation: Washington University School of Medicine in St Louis, Washington University School of Medicine in St. Louis, University of Utah, WashU Medicine
Abstract Preview: Purpose: Stereotactic arrhythmia radiotherapy (STAR) requires compensation for both respiratory and cardiac motions of the heart. Respiratory 4DCT scans implicitly include cardiac motion and cycle-to-...
Authors: Lavsen Dahal, Francesco Ria, Ehsan Samei, Justin B. Solomon, Liesbeth Vancoillie, Yakun Zhang
Affiliation: Duke University, Carilion Clinic, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System
Abstract Preview: Purpose: Clinical diagnostic task-based optimization of CT procedures require precise and organ-specific assessments. This study investigates inter-organ noise variability to highlight the limitations...
Authors: Daming LI, Jinsen Xie, Zhe Zhang
Affiliation: Peking University Shenzhen Hospital Radiotherapy Department, School of Nuclear Science and Technology, University of South China
Abstract Preview: Purpose:
This study aims to investigate the feasibility of online dose measurement of the Trilogy linear accelerator output based on target current pulse signals.
Methods:
A data acquisition ...
Authors: Zhitao Dai
Affiliation: Chinese Academy of Medical Sciences Cancer Hospital Shenzhen Hospital
Abstract Preview: Purpose: To investigate the accuracy of 3D printed individualized vaginal template assisted pre-planning in the interstitial implantation of cervical cancer, to examine the advantages when compared wi...
Authors: Gary Y. Ge, Azmul Siddique, Jie Zhang
Affiliation: Department of Radiology, University of Kentucky, University of Kentucky
Abstract Preview: Purpose: Virtual grid technology addresses scattered radiation without a physical grid, offering the potential to reduce patient radiation dose while maintaining image quality. However, this potential...
Authors: Chuangxin Chu, Haotian Huang, Tianhao Li, Jingyu Lu, Zhenyu Yang, Fang-Fang Yin, Tianyu Zeng, Chulong Zhang, Yujia Zheng
Affiliation: The Hong Kong Polytechnic University, Nanyang Technological University, Australian National University, Medical Physics Graduate Program, Duke Kunshan University, North China University of Technology, Duke Kunshan University
Abstract Preview: Purpose: Deep learning segmentation models, such as U-Net, rely on high-quality image-segmentation pairs for accurate predictions. However, the recent increasing use of generative networks for creatin...
Authors: Hao-Wen Cheng, Jonathan G. Li, Chihray Liu, Wen-Chih Tseng, Guanghua Yan
Affiliation: University of Florida
Abstract Preview: Purpose: This study develops and evaluates deep learning (DL) models for predicting 3D dose distributions in simultaneous integrated boost (SIB) prostate cancer treatment using the Elekta Unity MR-Lin...
Authors: Yuemeng Feng, Hamid Sabet
Affiliation: Massachusetts General Hospital, Harvard Medical School
Abstract Preview: Purpose: We propose a novel brain-dedicated PET system comprising elliptical cylinder with a neck cut-out, supplemented by front and back panels to improve sensitivity and line-of-response sampling. T...
Authors: Kyle J. Lafata, Xiang Li, Megan K. Russ, Zion Sheng
Affiliation: Duke University, Department of Radiation Oncology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System
Abstract Preview: Purpose: To adapt Vision-Language Foundational Models (VLFM) to perform HNSCC tumor grading on H&E whole slide images (WSI) via attention-based multiple instance learning (ABMIL).
Methods: We utili...
Authors: Kyle J. Lafata, Casey Y. Lee, Xiang Li, Megan K. Russ, Zion Sheng
Affiliation: Duke University, Department of Radiation Oncology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System
Abstract Preview: Purpose:
Traditional deep learning-based cell segmentation models face limitations, such as the need for extensive training data and retraining when encountering new cell types or domains. This stu...
Authors: Ergun E. Ahunbay, Abdul Parchur, Eric S. Paulson, Ilaria Rinaldi, Angelo Schiavi, Li Zhao
Affiliation: Sapienza University of Rome, Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, Department of Radiation Oncology, Medical College of Wisconsin
Abstract Preview: Purpose: Online adaptive replanning is often necessary in Intensity Modulated Proton Therapy (IMPT) due to the sensitivity of proton dose distributions to daily anatomical changes. A rapid, automated ...
Authors: Beth Bradshaw Ghavidel, Benyamin Khajetash, Yang Lei, Meysam Tavakoli
Affiliation: Icahn School of Medicine at Mount Sinai, Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Emory University, Department of Radiation Oncology, Emory University
Abstract Preview: Purpose: Pancreatic cancer is among the most aggressive types of cancer, with a five-year survival rate of approximately 10%. Recent studies show that radiomics and deep learning (DL)-based methods ar...
Authors: Katja M. Langen, William Andrew LePain, Robert Muiruri, Vivi Nguyen, Mosa Pasha, Roelf L. Slopsema, Alexander Stanforth, Yinan Wang, Mingyao Zhu
Affiliation: Emory Healthcare, Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University
Abstract Preview: Purpose: Intensity modulated proton therapy (IMPT) treatment planning for craniospinal irradiation (CSI) is complex and requires extensive effort from the planner. This study aims to enhance planning ...
Authors: Quan Chen, Xue Feng, Chunhui Han, Gaofeng Huang, Trevor Ketcherside, Yi Lao, Yun Rose Li, An Liu, Bo Liu, Kun Qing, William T. Watkins
Affiliation: Graduate Program in Bioengineering, University of California San Francisco-UC Berkeley, Department of Radiation Oncology, City of Hope National Medical Center, Mayo Clinic Arizona, Carina Medical LLC
Abstract Preview: Purpose: New treatment platforms such as Ethos (Varian Medical Systems) allow the introduction of multi-modal imaging into adaptive radiotherapy workflow to facilitate an up-to-date view of patientsā ...
Authors: Yifei Hao, Wenxuan Li, Xiang Li, Tao Peng, Yulu Wu, Fang-Fang Yin, Yue Yuan, Lei Zhang, Yaogong Zhang
Affiliation: Duke University, School of Future Science and Engineering, Soochow University, Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose: Diffusion-based deep-learning frameworks have been recently used in MRI resolution enhancement, or super-resolution. Multi-contrast MRI share common anatomical structures while holding comple...
Authors: Xianjin Dai, PhD, Zhuoran Jiang, Lei Ren, Lei Xing, Zhendong Zhang
Affiliation: University of Maryland School of Medicine, Department of Radiation Oncology, Stanford University, Duke University, Stanford University
Abstract Preview: Purpose: Unsupervised deep learning has shown great promise in deformable image registration (DIR). These methods update model weights to optimize image similarity without necessitating ground truth d...
Authors: Evan Calabrese, Hangjie Ji, Kyle J. Lafata, Casey Y. Lee, Eugene Vaios, Chunhao Wang, Lana Wang, Zhenyu Yang, Jingtong Zhao
Affiliation: Duke University, Department of Radiation Oncology, Duke University, Duke Kunshan University, North Carolina State University
Abstract Preview: Purpose: To develop a biologically guided deep learning (DL) model for predicting brain metastasis(BM) local control outcomes following stereotactic radiosurgery (SRS). By integrating pre-SRS MR image...
Authors: Amy Tien Yee Chang, Chi Wai Cheung, Tin Lok Chiu, Chen-Yu Huang, Chi Wa Kong, Pei-Xiong Li, Pak Hang Nam, Bin Yang, Siu Ki Yu
Affiliation: Comprehensive Oncology Centre, Hong Kong Sanatorium and Hospital, Medical Physics Department, Hong Kong Sanatorium and Hospital
Abstract Preview: Purpose: This study introduces BrachyPlanCheck, an independent Monte Carlo (MC)-based dose calculation tool for 192Ir brachytherapy retrospective study or algorithm commissioning.
Methods: BrachyPl...
Authors: Sahaja Acharya, Matthew Ladra, Junghoon Lee, Lina Mekki
Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Department of Biomedical Engineering, Johns Hopkins University
Abstract Preview: Purpose: Multi-parametric MRI (mpMRI) is widely used for deep learning (DL)-based automatic segmentation of brain tumors. While multi-contrast images concatenated as channels are typically input to ne...
Authors: Yingxuan Chen, Jun Li, Alexis N. Webb
Affiliation: Thomas Jefferson University
Abstract Preview: Purpose: Cone-beam computed-tomography (CBCT) is widely used for image-guided therapy. Cumulative dose from repeated CBCT might be a concern. This study aims to measure and compare the CBCT dose for c...
Authors: Mingli Chen, Xuejun Gu, Hao Jiang, Mahdieh Kazemimoghadam, Weiguo Lu, Qingying Wang, Kangning Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine
Abstract Preview: Purpose:
PET is used in radiotherapy workflows for accurate target delineation. However, a separate CT scan is typically required for attenuation correction in PET imaging and for registering PET-d...
Authors: Wen C. Hsi, Pouya Sabouri, Zhong Su
Affiliation: University of Arkansas for Medical Sciences, Department of Radiation Oncology, University of Arkansas for Medical Sciences (UAMS)
Abstract Preview: Purpose:
Traditional single-energy CT (SECT) contrast scans cannot be used for proton dose calculations due to significantly higher HU caused by iodine. Dual-layer dual-energy CT (DL-DECT) can dire...
Authors: Xuelian Chen, John Ginn, Zhuhong Li, Kaizhong Shi, Chunhao Wang, Jianliang Wang, Chuan Wu, Zhenyu Yang, Fang-Fang Yin, Jingtong Zhao
Affiliation: The First People's Hospital of Kunshan, Duke University, Medical Physics Graduate Program, Duke Kunshan University, Duke Kunshan University, Department of Radiation Oncology, Duke Kunshan University
Abstract Preview: Purpose: Developing deep learning-based models for accurate automated breast cancer diagnosis from mammography presents significant challenges due to the small size and subtle nature of breast lesions...
Authors: Ji Hye Han, Yookyung Kim, Jang-Hoon Oh, Heesoon Sheen, Han-Back Shin
Affiliation: Ewha Womans university, Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, High-Energy Physics Center, Chung-Ang Universit, Ewha Womans University, Kyung Hee University Hospital
Abstract Preview: Purpose: Chest X-rays are critical for diagnosing conditions such as pneumonia, tuberculosis, and COVID-19. Although deep learning (DL) approaches, especially convolutional neural networks, have signi...
Authors: Alan Rui Li, Qihui Lyu, Dan Ruan, Ke Sheng
Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California San Francisco, Department of Radiation Oncology, University of California, San Francisco
Abstract Preview: Purpose:
The Sparse Primary Sampling (SPS) grid was shown in a previous computational study to improve image quality by correcting scatter-induced effects and artifacts in Cone-beam Computed Tomogr...
Authors: Shengwen Deng, Sven L. Gallo, Robert S. Jones, David W. Jordan, Arashdeep Kaur, Aishwarya M. Kulkarni, Quibai Li, William R.M. Pedersen
Affiliation: Department of Radiology, University Hospitals Cleveland Medical Center; School of Medicine, Case Western Reserve University, Department of Radiology, Radiation Safety, University Hospitals Cleveland Medical Center, Department of Radiology, Radiation Safety, University Hospitals Cleveland Medical Center; School of Medicine, Case Western Reserve University; Department of Radiology, Louis Stokes Cleveland VA Medical Center
Abstract Preview: Purpose:
Y-90 (Yttrium) SIRT radioembolization takes advantage of delivering localized radiation to the liver. Pre-treatment dosimetry is highly dependent on accurate MAA mapping, which may have an...
Authors: Tianyuan Dai, Xiaoying Fan, Shuting Wang, Yong Yin
Affiliation: Department of Graduate, Shandong First Medical University, Shandong Academy of Medical Sciences, Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
Abstract Preview: Purpose: The purpose of this study was to investigate the interplay effect during intra-fractional motion and the effect of the robust optimization parameters for inter-fractional motion in the intens...
Authors: Fangfen Dong, Jiaming Li, Xiaobo Li, Weipei Wang, Zhixin Wang, Bing Wu, Benhua Xu, Yong Yang, Yifa Zhao
Affiliation: Department of Radiation Oncology, Fujian Medical University Union Hospital/Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors/Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematologi, Zhangpu County Hospital, School of Medical Imaging, Fujian Medical University
Abstract Preview: Purpose: To explore the construction and clinical application value of a deep learning-based positioning error prediction model, providing a reference for optimizing iSCOUT system-guided precision rad...
Authors: Emi Ai Eastman, Christina Lee, Xinhua Li, Alexander W. Scott, Yifang (Jimmy) Zhou
Affiliation: Cedars-Sinai Medical Center
Abstract Preview: Purpose: Iterative reconstruction (IR) methods are valuable for reducing dose in modern CT; however, IR methods have the effect of reducing spatial resolution and hence the lesion edge sharpness. Furt...
Authors: Kota Hirose, Daisuke Kawahara, Jokichi Kawazoe, Yuji Murakami
Affiliation: Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima University
Abstract Preview: Purpose: Synthesizing medical images can address the lack of or unscanned medical images, reducing scanner time and costs. However, paired image scarcity remains a challenge for image synthesis. We pr...
Authors: Hector Andrade-Loarca, Ines Butz, Chiara Gianoli, Prof. Gitta Kutyniok, Jianfei Li, Katia Parodi, Prof. Vincenzo Patera, Angelo Schiavi, Prof. Ozan Ćktem
Affiliation: Sapienza University of Rome, Department of Mathematics, Royal Institute of Technology, School of Computation, Information and Technology, Technische Universitaet Muenchen, Department of Medical Physics, Ludwig-Maximilians-UniversitƤt MĆ¼nchen (LMU Munich), Department of Mathematics, Ludwig-Maximilians-UniversitƤt (LMU) MĆ¼nchen, Department of Medical Physics, Ludwig-Maximilians-UniversitƤt (LMU) MĆ¼nchen
Abstract Preview: Purpose: To explore and demonstrate the feasibility of accurate and fast prediction of the water equivalent thickness (WET) distribution of tissue traversed by a proton imaging pencil beam, aiming at ...
Authors: Gary Y. Ge, Abdullah-Al-Zubaer Imran, Kazi Ramisa Rifa, Charles Mike Weaver, Jie Zhang
Affiliation: University of Kentucky
Abstract Preview: Purpose: With renewed attention on CT radiation dose management following CMS approval of new dose measures, establishing image qualityābased target doses for every protocol has become essential. Whil...
Authors: Fumiaki Komatsu, Shunsuke Moriya, Ryosuke Nakamura, Takeji Sakae, Toshiyuki Terunuma, Tetsuya Tomita
Affiliation: Graduate School of Comprehensive Human Sciences, University of Tsukuba, Institute of Medicine, University of Tsukuba, Proton Medical Research Center, University of Tsukuba, Department of Radiology, University of Tsukuba Hospital
Abstract Preview: Purpose: To develop a deep learning (DL) model capable of accurately tracking lung tumors independent of beam angle variations.
Methods: A thoracic dynamic phantom simulating lung motion in the sup...
Authors: John Byun, Juan J Cardona, Steven D Chang, Cynthia Fu-Yu Chuang, Xuejun Gu, Yusuke Hori, Hao Jiang, Fred Lam, Lianli Liu, Weiguo Lu, David Park, Erqi Pollom, Elham Rahimy, Deyaaldeen Abu Reesh, Scott Soltys, Gregory Szalkowski, Lei Wang
Affiliation: Department of Radiation Oncology, Stanford University, Department of Neurosurgery, Stanford School of Medicine, Department of Neurosurgery, Stanford University, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine
Abstract Preview: Purpose:
Intraventricular tumors pose significant challenges in neurosurgery due to their complex location. Therefore, brain SRS could be a better treatment option. At our institution, some patient...
Authors: Xiaoyu Duan, Xiang Li, Wenbo Wan, Lei Zhang, Yiwen Zhang
Affiliation: Duke University, Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose: Breast screening has been proved to reduce breast cancer mortality by early detection and treatment for patients. Mammography is the most common and widely used technique for breast cancer sc...
Authors: Samuel A. Einstein, Jesutofunmi Fajemisin, Evren O. Gƶksel, Gƶrkem O. GĆ¼ngƶr, Marthony Robins, Travis C. Salzillo, Charles R. Thomas, Turgay Toksay, Joseph Weygand, Yue Yan
Affiliation: Acibadem MAA University, Department of Radiation Oncology and Applied Science, Dartmouth Health, Dartmouth College, Moffitt Cancer Center, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Penn State College of Medicine, Bursa Ali Osman Sƶnmez Oncology Hospital
Abstract Preview: Purpose: Magnetic resonance imaging (MRI) is an indispensable clinical tool, offering unparalleled soft tissue contrast critical for diagnosing and managing a wide range of conditions. However, its co...
Authors: Jacqueline M. Andreozzi, Tess Armstrong, Shiva Bhandari, John M Bryant, Jessica M Frakes, David J. Gladstone, Sarah E Hoffe, Kujtim Latifi, Arash Naghavi, Steven Nichols, Ibrahim M. Oraiqat, Russell Palm, Gage H. Redler, Stephen A Rosenberg, Joseph Weygand
Affiliation: Department of Radiation Oncology and Applied Science, Dartmouth Health, Thayer School of Engineering, Dartmouth College, Department of Radiation Oncology, Ohio State University, Moffitt Cancer Center, Department of Radiation Oncology, Moffitt Cancer Center
Abstract Preview: Purpose: The MR-linac provides unique opportunities for integrating advanced imaging into radiotherapy workflows, but the lower sensitivity of systems like the 0.35T model can pose challenges for diff...
Authors: Imad M. Ali, Nesreen Alsbou, Baraa Kalani
Affiliation: Oklahoma State University, University of Central Oklahoma, University of Oklahoma Health Sciences Center
Abstract Preview: Purpose: To develop a three-dimensional Winston-Lutz phantom to quantify the isocentricity of the gantry, couch, and on-board imager of the MEVION-S250i proton therapy machine.
Methods: A 3D-scinti...
Authors: Imad M. Ali, Nesreen Alsbou, Sakeeneh Majeed
Affiliation: University of Central Oklahoma, University of Oklahoma Health Sciences Center
Abstract Preview: Purpose: to design and assess a microwave imaging system equipped with multiple antennas for generating high-resolution 3D images of phantom models that simulate abdominal, thoracic, and brain tissues...
Authors: Alexander Bookbinder, Matthew Tivnan, Xiangyi Wu, Wei Zhao
Affiliation: Stony Brook Medicine, Massachusetts General Hospital
Abstract Preview: Purpose: To investigate and benchmark a system-adaptive diffusion-based digital breast tomosynthesis (DBT) denoising model for a direct-indirect dual-layer flat panel detector (DI-DLFPD) with a k-edge...
Authors: Morgan A. Daly, David J. Goodenough, Andrew M. Hernandez, John M. Hoffman, Joshua Levy, Michael F. McNitt-Gray, Ali Uneri, Bino Varghese
Affiliation: University of California, George Washington University, David Geffen School of Medicine at UCLA, Johns Hopkins Univ, University of Southern California, The Phantom Laboratory
Abstract Preview: Purpose: Quantitative imaging is affected by CT acquisition and reconstruction conditions, limiting robustness in multi-site or -scanner studies. This work aimed to develop a dataset that will enable ...
Authors: John Byun, Steven D Chang, Cynthia Fu-Yu Chuang, Xuejun Gu, Melanie Hayden Gephart, Yusuke Hori, Fred Lam, Gordon Li, Lianli Liu, Weiguo Lu, David Park, Erqi Pollom, Elham Rahimy, Deyaaldeen Abu Reesh, Scott Soltys, Gregory Szalkowski, Lei Wang, Xianghua Ye, Kangning Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Department of Neurosurgery, Stanford University, Department of Radiation Oncology, Stanford University, Department of Radiation Oncology, Stanford University School of Medicine
Abstract Preview: Purpose: Accurate and automated delineation of vestibular schwannoma (VS) volume is crucial for disease management, as both treatment approaches (stereotactic radiosurgery and invasive surgery) and mo...
Authors: Xiaoyi Dai, Manju Liu, Weiwei Sang, Pulin Sun, Fan Xia, Zhenyu Yang, Fang-Fang Yin, Chulong Zhang, Rihui Zhang
Affiliation: Jiahui International Hospital, Radiation Oncology, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose:
Current deep learning-based sparse-view CBCT reconstruction methods are prone to hallucinatory artifacts, as they rely on inferred image details that may not correspond to true anatomical ...
Authors: Sean L. Berry, Weixing Cai, Laura I. Cervino, Yabo Fu, Daphna Gelblum, Wendy B. Harris, Xiuxiu He, Licheng Kuo, Tianfang Li, Xiang Li, Jean M. Moran, Boris Mueller, Huiqiao Xie, Mitchell Yu, Hao Zhang
Affiliation: Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Department of Medical Physics, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: Gating ablative radiotherapy for pancreatic cancer accounts for tumor movement due to respiration and typically requires 5, 15, or 25 fractions. Pretreatment imaging verification is essential...
Authors: Chieh-Ya Chiu, Shen-Hao Li, Hsin-Hon Lin, Shu-Wei Wu
Affiliation: Department of Medical Imaging and Radiological Sciences, Chang Gung University, Proton and Radiation Therapy Center, Chang Gung Memorial Hospital Linkou
Abstract Preview: Purpose: Monte Carlo simulation enables precise calculation of dose distribution in proton therapy through tracing the radiation particles with patient tissues. However, achieving clinical-level preci...
Authors: Jing Cai, Zhi Chen, Hong Ge, Yu-Hua Huang, Bing Li, Zihan Li, Ge Ren
Affiliation: Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Department of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital
Abstract Preview: Purpose: Algorithms based on subregional respiratory dynamics (SRD) capture spatiotemporal heterogeneity in the ventilation process, though rely on empirical modelings to map surrogate ventilation. Gi...
Authors: Jennifer L. Dolan, Chengyin Li, Parag Parikh, Doris N. Rusu, Kundan S Thind
Affiliation: Henry Ford Health, Cedars-Sinai Medical Center
Abstract Preview: Purpose: The time and resource demands of online Adaptive Radiation Therapy (ART) can limit its widespread clinical adoption and potentially impact patient throughput. To address this, we developed a ...
Authors: Li Chen, Shouliang Ding, Xiaoyan Huang, Lecheng Jia, Hua Li, Hongdong Liu, Yanfei Liu, Zun Piao, Guangyu Wang
Affiliation: State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Shenzhen United Imaging Research Institute of Innovative Medical Equipment
Abstract Preview: Purpose: Optimal radiotherapy planning is challenging, influenced by anatomical factors such as surrounding organs and tumor characteristics, which complicate dose distribution and target coverage. Wh...
Authors: Nan Li, Yaoying Liu, Shouping Xu, Xinlei Xu, Gaolong Zhang
Affiliation: School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, School of physics, Beihang University, Beihang University, Department of Radiation Oncology
Abstract Preview: Purpose:
CT simulation is essential for radiation therapy preparation but has limitations in distinguishing lesions. Contrast-enhanced CT (CECT) improves lesion detection and characterization, but ...
Authors: Sarah Burleson, Antonio L. Damato, Yabo Fu, Laura Happersett, Tianfang Li, Xiang Li, Himanshu Nagar, Pengpeng Zhang
Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: An iodinated hydrogel perirectal spacer, injected between the prostate and rectum, reduces rectal high-dose exposure during prostate SBRT. We assessed the feasibility of tracking the spacer a...
Authors: Diana Cardona, Casey C. Heirman, William Jeck, Kyle J. Lafata, Xiang Li, Lauren M. Neldner, Jeffrey S. Nelson, Megan K. Russ, Ehsan Samei
Affiliation: Duke University, Department of Radiation Oncology, Duke University, Department of Pathology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System
Abstract Preview: Purpose: Medical physicists have traditionally supported radiation-based medicine, but their expertise can translate to other image-based fields including pathology. As pathology transitions to digita...
Authors: Diana Cardona, Casey C. Heirman, William Jeck, Kyle J. Lafata, Xiang Li, Lauren M. Neldner, Jeffrey S. Nelson, Megan K. Russ, Ehsan Samei
Affiliation: Duke University, Department of Radiation Oncology, Duke University, Department of Pathology, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System
Abstract Preview: Purpose: Medical physicists traditionally support radiation-based medicine, but their expertise is translatable to image-based fields like pathology. As pathology transitions to digital practices, phy...
Authors: Wookjin Choi, Jun Li
Affiliation: Thomas Jefferson University
Abstract Preview: Purpose: Resin Yttrium-90 (Y-90) selective internal radiation therapy (SIRT) is a radioembolization procedure which uses Y-90 microspheres to treat metastatic liver cancer. In the procedure, liver vol...
Authors: Christopher G. Ainsley, Pradeep Bhetwal, Yingxuan Chen, Wookjin Choi, Vimal K. Desai, Karen E. Mooney, Adam Mueller, Hamidreza Nourzadeh, Yevgeniy Vinogradskiy, Maria Werner-Wasik
Affiliation: Thomas Jefferson University
Abstract Preview: Purpose: MR-guided adaptive radiotherapy (MRgART) has demonstrated improved outcomes for patients with pancreatic cancer. However, the time-consuming re-segmentation of targets and organs-at-risk (OAR...
Authors: Brecca Bettcher, Tobey J Betthauser, Bradley T Christian, Sterling Johnson, Lisette LeMerise, Max McLachlan, Andrew McVea, Dhanabalan Murali, Ali Pirasteh, Matthew Zammit
Affiliation: University of Wisconsin-Madison School of Medicine and Public Health and Waisman Center
Abstract Preview: Purpose: The radiotracer [18F]NAV4694 is a desirable alternative to [11C]PiB for measuring amyloid neuropathology related to Alzheimerās disease (AD), possessing similar imaging characteristics and fa...
Authors: Hania A. Al-Hallaq, Xuxin Chen, Anees H. Dhabaan, Elahheh (Ella) Salari, Xiaofeng Yang
Affiliation: Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University
Abstract Preview: Purpose:
Radiomics image analysis could lead to the development of predictive signatures and personalized radiotherapy treatments. However, variations in delineation are known to affect hand-crafte...
Authors: Ali Ammar, Quan Chen, Yi Rong, Libing Zhu
Affiliation: Mayo Clinic Arizona
Abstract Preview: Purpose: To investigate how defacing algorithms, essential for patient privacy in data sharing, impact AI-based segmentation performance in CT imaging for radiation therapy. This study evaluates wheth...
Authors: Xiaoyu Duan, Xinyu Hu, Runqiu Li, Xiang Li
Affiliation: Dukekunshan University, Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose:
Accurate detection of small-sized microcalcifications (Ī¼Calcs) (< 500 Āµm) is critical for early breast cancer diagnosis, requiring optimal imaging systems and reconstruction algorithms. Ho...
Authors: Li Tong, Chuyan Wang, Zhengkui Wang, Yingli Yang, Jie Zhang
Affiliation: Shanghai United imaging Healthcare Advanced Technology Research Institute, Shanghai United Imaging Healthcare Co., LTD, Department of Radiology, Ruijin Hospital, Institute for Medical Imaging Technology, Ruijin Hospital
Abstract Preview: Purpose:
Pelvic radiotherapy (RT)-induced bone marrow (BM) damage affects patient prognosis by causing hematologic toxicity. However, consensus on BM-sparing (BMS) RT is still lacking, owing to the...
Authors: Gisell Ruiz Boiset, Paulo ROBERTO Costa, Luuk J Oostveen, Elsa Bifano Pimenta, Ioannis Sechopoulos, Alessandra Tomal
Affiliation: Radboud University Medical Center, University of SĆ£o Paulo (USP), Institute of Physics, Universidade Estadual de Campinas. Instituto de FĆsica Gleb Wataghin
Abstract Preview: Purpose: This study aimed to evaluate the precision and accuracy of volume measurements for solid nodules (SNs) and ground-glass opacities (GGOs) in lung images acquired using energy-integrating CT (E...
Authors: Michelle Alonso-Basanta, Joshua Bryer, Lei Dong, Barbara Garcia, Elissa Khoudary, Brandon M. Koger, Taoran Li, Michael Salerno, Karen Tang, Boon-Keng Kevin Teo
Affiliation: University of Pennsylvania
Abstract Preview: Purpose: The Varian HyperSight imaging solution features a workflow for planning on CBCT images (CBCTp). This study evaluates the feasibility of CBCTp images in the setting of an offline adaptive plan...
Authors: Junghoon Lee, Todd R. McNutt, Harry Quon, Bohua Wan
Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Johns Hopkins University, Department of Computer Science, Johns Hopkins University
Abstract Preview: Purpose: Xerostomia is a common toxicity in head and neck cancer (HNC) radiotherapy (RT). A few deep learning (DL) models have been proposed to predict the chance of xerostomia 12 months after RT with...
Authors: Weigang Hu, Zhenhao Li, Jiazhou Wang, Xiaojie Yin, Zhen Zhang
Affiliation: Fudan University Shanghai Cancer Center
Abstract Preview: Purpose:
This study aims to develop and validate a novel deep learning method to generate synthetic PET images for rectal cancer from MRI data. By incorporating metabolic information from the synth...
Authors: Kenneth L. Homann, Natalie A Lockney, Hong Zhang
Affiliation: Department of Radiation Oncology, Vanderbilt University Medical Center, Vanderbilt University Medical Center
Abstract Preview: Purpose: The aim of this study is to develop a treatment planning methodology utilizing liver functional imaging via contrast-enhanced Magnetic Resonance Imaging (MRI) in patients undergoing stereotac...
Authors: Nan Li, Shouping Xu, Gaolong Zhang, Xuerong Zhang
Affiliation: Department of Radiation Oncology, HeBei YiZhou proton center, School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Abstract Preview: Purpose:
The 3D BRAVO sequence is an advanced magnetic resonance (MR) technique that allows for image reconstruction at any angle. It offers 1 mm gapless scanning and has a high signal-to-noise rat...
Authors: Cheng-En Hsieh, Shen-Hao Li, Hsin-Hon Lin, Shu-Wei Wu, An-Ci Yang
Affiliation: Department of Medical Imaging and Radiological Sciences, Chang Gung University, Proton and Radiation Therapy Center, Chang Gung Memorial Hospital, Proton and Radiation Therapy Center, Chang Gung Memorial Hospital Linkou
Abstract Preview: Purpose:
The aim of this study is to develop a framework of generating patient-specific phantom tailored for head and neck proton therapy. From these phantoms, digital reference objects based on th...
Authors: Ross I. Berbeco, Vera Birrer, Raphael Bruegger, Pablo Corral Arroyo, Roshanak Etemadpour, Dianne M. Ferguson, Rony Fueglistaller, Thomas C. Harris, Yue-Houng Hu, Matthew W. Jacobson, Mathias Lehmann, Nicholas Lowther, Daniel Morf, Marios Myronakis
Affiliation: Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, Dana Farber/Brigham and Women's Cancer Center, Department of Radiation Oncology, Brigham and Womenās Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Womens Hospital, Dana Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Varian Imaging Laboratory, Dana-Farber Cancer Institute
Abstract Preview: Purpose: Applications of combined kV-MV CBCT include metal artifact correction and material identification. Difficulties arise, however, when the imagers have misaligned geometric perspectives of the ...
Authors: Cheng-Chieh Cheng, Jeffrey P Guenette, Yajun Li, Bruno Madore, Lei Qin
Affiliation: Brigham and Women's Hospital, National Sun Yat-sen University, Dana-Farber Cancer Institute
Abstract Preview: Purpose: Pilot tone (PT), a compact RF sensor, has been integrated into clinical practice for motion detection. Prior studies proposed mapping PT signals to head positions using a calibration step tha...
Authors: Weixing Cai, Laura I. Cervino, Yabo Fu, Licheng Kuo, Tianfang Li, Xiang Li, Jean M. Moran, Huiqiao Xie, Hao Zhang
Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: This study introduces a novel spatiotemporal Gaussian neural representation framework to reconstruct high-temporal dynamic CBCT images from 1-minute acquisition, preserving motion dynamics an...
Authors: Hilary P Bagshaw, Mark K Buyyounouski, Serdar Charyyev, Xianjin Dai, PhD, Yu Gao, Thomas R. Niedermayr, Lei Xing
Affiliation: Department of Radiation Oncology, Stanford University
Abstract Preview: Purpose: Real-time transrectal ultrasound imaging is the gold standard for needle placement and treatment planning of real-time based-ultrasound-based high dose-rate (HDR) prostate brachytherapy. Cumu...
Authors: John M. Boone, Andrew M. Hernandez, Paul E. Kinahan, Michael F. McNitt-Gray, Jeffrey H. Siewerdsen, Ali Uneri
Affiliation: University of California, Johns Hopkins Univ, UT MD Anderson Cancer Center, David Geffen School of Medicine at UCLA, University of Washington, UC Davis Health
Abstract Preview: Purpose: Measuring image quality (IQ) in large clinical databases, such as the Medical Imaging and Data Resource Center (MIDRC), is challenging due to the inherent complexity of image content and the ...
Authors: Salman M. Arnab, Yves Chevalier, Samuel GagnĆ©, Adrian F. Howansky, Luc LaperriĆØre, Xiangyi Wu, Wei Zhao
Affiliation: Stony Brook Medicine, Analogic Canada
Abstract Preview: Purpose: A direct-indirect dual-layer flat-panel-detector (DI-DLFPD) is under development for patient motion artifact-free contrast-enhanced digital mammography (CEDM). DI-DLFPD comprises a direct fro...
Authors: Xun Jia, Heng Li, Wen Li, Devin Miles, Daniel Sforza, Lingshu Yin, Yuncheng Zhong
Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University
Abstract Preview: Purpose: FLASH therapy holds great potential to revolutionize radiotherapy by minimizing toxicities of normal tissues. The extraordinarily high dose rate of FLASH proton beam makes precise delivery to...
Authors: Samuel L. Brady, Joseph G. Meier
Affiliation: Cincinnati Childrens Hospital Med Ctr
Abstract Preview: Purpose:
To establish noise reference levels for our pediatric hospital.
Methods:
Water equivalent diameter (Dw) and image noise was automatically measured by using a global noise algorithm i...
Authors: Xinhua Li, Jie Zhang, Yifang (Jimmy) Zhou
Affiliation: University of Kentucky, Cedars-Sinai Medical Center
Abstract Preview: Purpose: Fat volume fraction (FVF) is an important biomarker for non-alcoholic fatty liver disease. CT can be a good modality for FVF assessment if the accuracy is adequate. We aimed to study the impa...
Authors: Kin Yin Cheung, Chen-Yu Huang, Chi Wa Kong, Pei-Xiong Li, Pak Hang Nam, Bin Yang, Siu Ki Yu, Chi To Yung
Affiliation: Medical Physics Department, Hong Kong Sanatorium and Hospital
Abstract Preview: Purpose:
The Elekta Unity system facilitates daily adaptive radiotherapy using MRI-based treatment planning. However, MR images are prone to motion artefacts caused by respiratory motion, potential...
Authors: Hajee Reyaz Ali Sahib, Sangeeta Hazarika, Muthukumaran Manavalan, Jaswin Raj, Daya Nand Sharma, Seema Sharma, Subramani Vellaiyan
Affiliation: AIIMS NCI Jhajjar, PTW North America Corporation, All India Institute of Medical Sciences
Abstract Preview: Purpose:
Purpose is to investigate the effect of extended source-to-imager distances (SID) on the resolution of VMAT patient-specific quality assurance (PSQA) in portal dosimetry (PD).
Methods:<...
Authors: Richard Dortch, Thammathida Ketsiri, Zhiqiang Li, Shiv P. Srivastava
Affiliation: Barrow Neurological Institute, Dignity Health Cancer Institute, St. Joseph's Hospital & Medical Center
Abstract Preview: Purpose: Imaging the spinal cord post-surgery is challenging due to metal surgical implants, which induce signal loss and geometric distortions. Together, this hinders the visualization of the spinal ...
Authors: Minbin Chen, Xiaoyi Dai, Xiaoyu Duan, Chunhao Wang, Fan Xia, Zhenyu Yang, Fang-Fang Yin, Chulong Zhang, Rihui Zhang
Affiliation: Duke University, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University, The First People's Hospital of Kunshan
Abstract Preview: Purpose: Deep learning (DL)-based mammography diagnosis presents unique challenges, as accurate interpretation requires both global breast condition analysis and local lesion structural information. E...
Authors: Naruomi Akino, Kirsten Lee Boedeker, Ilmar Hein, Dylan Mather, Akira Nishikori, Daniel W Shin
Affiliation: Canon Medical Systems Corporation, Canon Medical Research USA
Abstract Preview: Purpose: To validate the performance a deep learning reconstruction (DLR) algorithm in an anatomical background compared to a uniform phantom background.
Methods: An analytic forward projection mod...
Authors: Alexander Alsalihi, Gary Y. Ge, Charles Mike Weaver, Jie Zhang
Affiliation: University of Kentucky
Abstract Preview: Purpose: The upcoming CMS regulation, titled āExcessive Radiation Dose or Inadequate Image Quality for Diagnostic Computed Tomography (CT) in Adultsā, employs two measures, size-adjusted DLP (SAD) and...
Authors: Zong Fan, Fan Lam, Hua Li, Rita Huan-Ting Peng, Yuan Yang
Affiliation: University of Illinois at Urbana Champaign, University of Illinois at Urbana-Champaign, Washington University School of Medicine, University of Illinois Urbana-Champaign
Abstract Preview: Purpose: Accurate lesion segmentation in MRI is critical for early diagnosis, treatment planning, and monitoring disease progression in various neurological disorders. Cross-site MRI data can alleviat...
Authors: Xuezhen Feng, Li-Sheng Geng, Haoze Li, Xi Liu, Tianyu Xiong, Ruijie Yang
Affiliation: Department of Health Technology and Informatics, The Hong Kong Polytechnic University, School of Physics, Beihang University, School of Nuclear Science and Technology, University of South China, Department of Radiation Oncology, Peking University Third Hospital
Abstract Preview: Purpose: This study aimed to develop a deep learning-based algorithm for automatically delineate gross tumor volume (GTV) for lung cancer patients, alleviating the workload of radiologists and improvi...
Authors: Ali Ajdari, Thomas R. Bortfeld, Christopher Bridge, Gregory Buti, Marcela Giovenco, Fredrik Lofman, Gregory C. Sharp, Helen A Shih, Tugba Yilmaz
Affiliation: Massachusetts General Hospital, RaySearch Laboratories, Department Of Radiation Oncology, Massachusetts General Hospital (MGH), Massachusetts General Hospital & Harvard Medical School, Massachusetts General Hospital and Harvard Medical School
Abstract Preview: Purpose: Defining radiation target volumes with accurate integration of the neuroanatomy is one of the major difficulties in designing glioma treatments. We developed a deep learning network for norma...
Authors: Chloe Min Seo Choi, Joseph O. Deasy, Jue Jiang, Sudharsan Madhavan, Nikhil Mankuzhy, Nishant Nadkarni, Andreas Rimner, Maria Thor, Harini Veeraraghavan, Abraham Wu
Affiliation: University of Freibrug, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: Voxel-based analysis (VBA) requires accurate topology-preserving inter-patient deformable image registration (DIR). This study assessed whether guiding a DIR method with geometric priors of t...
Authors: Mark Anastasio, Hua Li, Zhuchen Shao
Affiliation: Washington University School of Medicine, University of Illinois Urbana-Champaign
Abstract Preview: Purpose: Ill-conditioned reconstruction problems in medical imaging, such as those arising from undersampled k-space data in MRI, can result in degraded image quality and clinical task-orientated perf...
Authors: Nicholas Carlson, Joel J. St-Aubin
Affiliation: University of Iowa Hospitals and Clinics, University of Iowa
Abstract Preview: Purpose: To establish baselines metrics and determine longitudinal accuracy and reproducibility of Diffusion-Weighted Imaging (DWI) and Apparent Diffusion Coefficient (ADC) values for a 1.5T Elekta Un...
Authors: Hansong Bai, Peter Jermain, Xun Jia, Heng Li, Devin Miles, Daniel Sforza, Michael H. Shang, Daniel Robert Strauss, Keith Unger, Lingshu Yin
Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, MedStar Georgetown University Hospital, Johns Hopkins University, Department of Radiation Medicine, MedStar Georgetown University Hospital
Abstract Preview: Purpose: To investigate DNA Double Strand Break (DSB) induced by FLASH proton irradiation in a repair-free plasmid DNA model under different free radical scavenging conditions in plateau and Bragg pea...
Authors: Michalis Aristophanous, Laura I. Cervino, Maria F. Chan, Puneeth Iyengar, Hsiang-Chi Kuo, Nancy Y Lee, Xiang Li, Seng Boh Gary Lim, Usman Mahmood, Jean M. Moran, Jason Ocana
Affiliation: Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Department of Medical Physics, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: To determine the limits of iodine concentration detection (LOD) and quantification (LOQ) in dual-energy computed tomography using a 3D printed phantom while considering different background, ...
Authors: Shen Fu, Zhangmin LI, Zuofeng LI, Yuanshui Zheng
Affiliation: GuangZhou Concord Cancer Center, Guangzhou Concord Cancer Center
Abstract Preview: Purpose: To investigate the influence of different robustness optimization strategies and parameters in proton therapy plans for head and neck tumors on target coverage and OAR (organ at risk) sparing...
Authors: Jorge De La Cerda, Andrew Joseph Fanning, Tianzhe Li, Xiaofei Liang, Grace Murley, Mark Pagel, William Schuler, Renee Tran, Shuo Wang, Su-Min Zhou
Affiliation: University of Wisconsin Madison, University of Nebraska Medical Center, University of Texas MD Anderson Cancer Center
Abstract Preview: Purpose: Electron paramagnetic resonance imaging (EPRI) can be used to image partial pressure of oxygen (pO2) in tumor models. The goal of this study is to develop an Oxygen Enhanced EPRI protocol to ...
Authors: Mark Anastasio, Hua Li, Zhuchen Shao
Affiliation: Washington University School of Medicine, University of Illinois Urbana-Champaign
Abstract Preview: Purpose: Automated semantic segmentation of cell nuclei in microscopic images is vital for disease diagnosis and tissue microenvironment analysis. However, obtaining large annotated datasets for train...
Authors: Guha Balakrishnan, Osama R. Mawlawi, Yiran Sun, Ashok Veeraraghavan
Affiliation: RICE University, UT MD Anderson Cancer Center
Abstract Preview: Purpose:
Previous deep learning (DL) techniques such as X2CT-GAN [1] has shown great promise in reconstructing realistic CT volume from biplanar X-rays, however they introduce numerous artifacts in...
Authors: Yan Dai, Jie Deng, Christopher Kabat, Weiguo Lu, Ying Zhang, Hengrui Zhao
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose:
MRI-guided adaptive radiotherapy (MRgART) using MR-LINAC systems offers significant advantages for liver cancer, enabling superior tumor delineation and online plan adaptation. However, ma...
Authors: Rico Castillo, Katherine Gonzalez, Casey C. Heirman, Kyle J. Lafata, Casey Y. Lee, Xiang Li, Yvonne M Mowery, Yvonne M Mowery, Daniel Murphy, Allison Pittman, Ashlyn G. Rickard
Affiliation: Duke University, Department of Radiation Oncology, Duke University, University of Pittsburgh
Abstract Preview: Purpose: To evaluate the ability of a deep learning model to identify pathomic features in lymph nodes of preclinical head and neck squamous cell carcinoma (HNSCC) models as surrogates for predicting ...
Authors: Shusen Jing, Qihui Lyu, Dan Ruan, Ke Sheng, Qifan Xu
Affiliation: Department of Radiation Oncology, University of California, Los Angeles, University of California San Francisco, Department of Radiation Oncology, University of California, San Francisco
Abstract Preview: Purpose: Metallic implants can significantly distort sinograms, leading to severe artifacts in computed tomography (CT) reconstructions. Reconstructing CT images containing metal is fundamentally an i...
Authors: Andrew Alexander, Brecca Bettcher, Bradley T Christian, Jose Guerrero-Gonzalez, Steven Kecskemeti, Lisette LeMerise, Max McLachlan, Andrew McVea, Matthew Zammit
Affiliation: University of Wisconsin-Madison School of Medicine and Public Health and Waisman Center
Abstract Preview: Purpose: Individuals with Down syndrome (DS) develop Alzheimerās Disease (AD) with very high prevalence (>90%). Neuropathology includes amyloid plaque (AĪ²) accumulation, followed by neurofibrillary ta...
Authors: Tess Armstrong, Nema Bassiri, Alonso N. Gutierrez, Michael Kasper, Natalia Lutsik, Eric Mellon, Kathryn E. Mittauer, Siamak P. Nejad-Davarani, Shyam Pokharel, Suresh Rana, Hui Wang, Joseph Weygand
Affiliation: Department of Radiation Oncology and Applied Science, Dartmouth Health, Miami Cancer Institute, Baptist Health South Florida, ViewRay, Inc., Miami Cancer Institute, Lynn Cancer Institute, Boca Raton Regional Hospital, Baptist Health South Florida, Department of Radiation Oncology, University of Miami
Abstract Preview: Purpose: Radiation treatments on the MR-linac (MRL) enable daily acquisition of anatomical and physiological images for adaptive treatment planning. The apparent diffusion coefficient (ADC) estimated ...
Authors: Tyler J Bradshaw, Sharon M Castellino, Steve Y Cho, David Hodgson, Bradford S Hoppe, Kara M Kelly, Andrea Lo, Sarah Milgrom, Xin Tie
Affiliation: Department of Radiation Oncology, University of Toronto, Department of Radiology, University of Wisconsin, University of Colorado Anschutz, Department of Medical Physics, University of Wisconsin, Department of Radiation Oncology, Mayo Clinic, Department of Radiation Oncology, BC Cancer, Vancouver Center, Department of Radiology, University of Wisconsin - Madison, Roswell Park Comprehensive Cancer Center, Emory University School of Medicine
Abstract Preview: Purpose: Clinical target volume (CTV) delineation for involved-site radiation therapy (ISRT) in Hodgkin lymphoma (HL) is time-consuming due to the need to analyze multi-time-point PET/CT scans co-regi...
Authors: Jiayi Chen, Shaolei Li, Fuhua Yan, Yingli Yang, Jie Zhang
Affiliation: Department of Radiology, Ruijin Hospital, Institute for Medical Imaging Technology, Ruijin Hospital, Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai United imaging Healthcare Advanced Technology Research Institute, Department of Radiation Oncology, Ruijin Hospital
Abstract Preview: Purpose: The aim of this exploratory study is to investigate the feasibility of establishing a model to explore tissue component heterogeneity using multidimensional diffusion magnetic resonance imagi...
Authors: Houssam Abou Mourad, Christopher Ackerman, Stephen Adler, Kirk Aduddell, Muhammad K. Afghan, Hamid G. Aghdam, Diego Aguilar, Kang-Hyun Ahn, Francis Ai, Hua Ai, Ray Anthony Aikens, Manik Aima, Victoria Ainsworth, Erfan Akbari, Blessing Akinro, Rani Al-Senan, Khalid Alabbasi, Sam Alam, Daniel Alexander, Mohammed H. Aljallad, Mazin T. Alkhafaji, Ahmad K. Alkhatib, Scott J. Alleman, James Logan Allen, Ibtisam Almajnooni, Tiba Alnaqshabandi, Murat Alp, Stephen J. Amadon, Riska Amilia, Ala Amini, Shiho Amster, Mason R. Anders, Erin Angel, Ledi Anggara, John A. Antolak, Debora Antonio, Felicity Appiah, Haiqa Arain, Lahcen Arhjoul, Ali V. Aritkan, Muhammad Arshad, Mark E. Artz, Nathan S. Artz, Frank A Ascoli, John R. Ashburn, Benjamin Astarita, Masakazu Atsumi, Rex G. Ayers, Tara M. Bachman, Nina L. Bahar, Bing Bai, Michael J. Bailey, Chris Baird, Mohammad Bakhtiari, Andrew J. Ballesio, Isabel Balvoa, Qinan Bao, Jeffrey J. Barbarits, Joseph Barbiere, Philip C. Bardos, Gary T. Barnes, John C. Barrett, Divya Bartley, Steven J. Bartolac, Robert Barton, Christopher P. Bass, Loni Bates, Alan Baydush, John E. Bayouth, Stephen Beach, Kevin Beaudette, Kaelyn Becker, Natalie A. Beckmann, Colleen Beer, Sepideh Behinaein, Jake M. Bell, David M. Bellezza, Maria R. Bellon, Ahmed Benelfassi, Stephanie Louise Bennett, Todd Bernath, Kate Bevins, Nicholas B. Bevins, Brian J. Bismack, David Blaich, Anthony P. Blatnica, Joseph W. Blickenstaff, Steven Blum, Maggie Bobbett, Dayna Bodensteiner, Daniel Boedeker, Robert C. Boggs, Jason D. Bond, Sjirk N. Boon, Jennifer M. Borsavage, Ryan J. Bosca-Harasim, Ryan J. Bosca-Harasim, Satya R. Bose, Todd Bossenberger, Cristina Boswell, Djamal Boukerroui, Christopher M. Bowen, Aaron Brammer, Rich Brancaleoone, Eric Brass, Luis Bravo, William Breeden, Christina Breeze, Eric E. Brost, Justin L. Brown, Karen L. Brown, Marissa Brown, Norman Lee Brown, Payton Brown, Patrick V. Brunick, Ryan Brunkhorst, Gwendolyn P. Brunner, Camelia E. Bunaciu, Maria Bunta, Olwen Burton, Karim Butalag, Priscilla F. Butler, Angela Cagwin, Jeffrey L. Campbell, Warren G. Campbell, Tyler Cantrell, Xu Cao, Yanan Cao, Peter F. Caracappa, Amanda M. Caringi, Joe Caron, Joshua Carter, Kenneth W. Cashon, Sarah Castillo, Everett Cavanaugh, Suran Chae, Abhi Chakrabarti, PhD, Philip Chan, Jina Chang, Sha X. Chang, Youssef M. Charara, Pierre E. Charpentier, Priyanka Chaudhary, Senthamil Selvan Chelliah, Chen Chen, Doris Chen, Kuan Ling Chen, Max Chen, Mingyue Chen, Mu Chen, Xinan Chen, Yie Chen, Yong Chen, Caroline Cheney, Shyh-Shi R. Chern, Stephen Thomas Chesser, Kin Man Cheung, Pai-Chun Melinda Chi, Yuwei Chi, Omar Chibani, Hung Ching, Gwi Ae Cho, Jongmin Cho, David Choi, Wing Yan Choi, Nitish Chopra, Daniel Christ, Olav I. Christianson, Emmanuel Christodoulou, Heeteak Chung, Sophia Claudio, Arely Clavel, William J. Clouse, Gilad Cohen, Michael S. Cohen, Vladimir Collantes, Jason Collier, Jacob Collins, Daria C. Comsa, Charles Conduah, Virgil N. Cooper, Anita M. Corrao, Frank D. Corwin, Mihaela Cosma, Ben Coull-Neveu, Mary K. Cox, Daniel F. Craft, Steven D. Crawford, Troy M. Crawford, Charles E. Creagh, Beatrice Croteau, Camille Crumbley, Wilbert F. Cruz, Guoqiang Cui, J. Adam M. Cunha, Scott Cupp, Bruce H. Curran, Jordan McCauley Cutsinger, Alita D Almeida, Harold DSouza, Nana Dabo-Akoteng, Robert Dahl, Shaun W. Dahl, Ghayath Dakkouri, Malek Daneshvarnezhad, Mylinh Dang, Matt Daniels, George M. Daskalov, David A. Davenport, Amanda Davidek, Scott E. Davidson, Maria De Ornelas, Dylan A. DeAngelis, Mike Deady, Daniel Dean, Savannah Decker, Savannah Decker, Michael Delafuente, Omer Demirkaya, Logan Dempsey, Marc Dennis, Viv Dennis, Dana Derby, Garron A. Deshazer, Veronique Destombes, Ajaya K. Devabhaktuni, Suneetha Devpura, James A. Deye, Shalmali Dharmadhikari, Dominic J. DiCostanzo, Richard V. DiPietro, Emily Diller, Lei Ding, Nayha V. Dixit, Charles Dodge, David N. Dodoo Amoo, Shana Donchatz, Lei Dong, Elangovan Doraisamy, Jennifer E. Dorand, Sarah Driver, Jiayi Du, Michael Duax, Ibrahim M. Duhaini, Ibrahim Duhaini, Kristen Duke, Richard Dunia, Leon Dunn, Shannon R. Durfee, Brittany Earl, Behzad Ebrahimi, Colton Eckert, Hisham Elasmar, John G. Eley, Abdelhamid Elfaham, David C. Ellerbusch, Scott J. Emerson, Sara Endo, David Erickson, Freddy Escorcia, Caroline Esposito, Patrice Essien, Adam Evearitt, Benjamin Fahimian, Liliosa C. Fajardo, Kevin Fallon, Guoqing Fan, Jiahua Fan, Mingdong Fan, Pei Fan, Bing Fang, Jian Fang, Yile Fang, Marc A. Felice, Ye Feng, Michele Sutton Ferenci, Philippe Feru, Jade Alecia Fischer, Aaron Fishbein, Caitlyn M. Fitzherbert, Damian Fondevila, Grant Fong, Robert Wesley Foster, Luke Fourie, Jeffrey Brian Fowlkes, Alexandre Franca Velo, D. Jay Freedman, Ronald W. Frick, Jie Fu, Samuel Fulton, Kamalakar Gaddam, Justin D. Gagneur, Mariana Gallo, Mariana Gallo, David Gammel, Robert G. Gandy, Junfang Gao, Yiming Gao, Victor L. Garcia, Michael Garcia-Alcoser, Jeffrey Garrett, Steven Anthony Gasiecki, Keith Gatermann, Avinash Gautam, Bhoj Gautam, Olivier Gayou, Andrew J. Gearhart, Paul B. Geis, Renil B. George, David P. Gierga, Robert Gilliam, James Giltz, Eric L. Gingold, Frederic Girard, Garth Gladfelder, Sharon Glaze, Brendan K. Glennon, Steven P. Glennon, Guy Godwin, David Lloyd Goff, Lisa M. Goggin, Daniel Goldberg-Zimring, Edward Joseph Goldschmidt, Ehsan Golkar, Angel Gomez, Jason Gong, Manish K. Goyal, Frank Graeff, Royce L. Gragg, Jonathan Gray, Alexander D. Green, Olga L. Green, Andrew Christopher Greene, Travis Greene, Jared Grice, Kevin T. Grizzard, Suveena Guglani, Jeffrey B. Guild, Patrick P. Guo, Sandesh Gupta, Megan Gute, Jonathan Ha, Rachael L. Hachadorian, Christopher Haddad, Lubomir Hadjiiski, Scott W. Hadley, Tomoe Hagio, Kelsey Hall, Logan P. Hall, Klaus A. Hamacher, Amineh Hamad Khatib, Amineh O. Hamad Khatib, Brian R. Hames, Carnell Hampton, Samuel S. Hancock, Robyn S. Handschuh, Jeremy Hansen, Paul Harden, Joseph Harms, Daniel P. Harrington, Carley Harris, Jamie Marie Harris, Jennifer Hart, Richard P. Harvey, Jeremy Hawk, Naoki Hayashi, Maria Laura Haye, Katherine Hazelwood, David Hearshen, Bret H. Heintz, Adam Henry, Frank William Hensley, Michael Chris Hermansen, Marissa Hernandez, Nadia Hernandez, Dayadna Hernandez Perez, Sarah Hetherington, Emily Hewson, Maynard High, Brian P. Hill, Charles B. Hill, Yunsil Ho, Simeon Hodges, David M. Hoeprich, Michael N. Hoff, Robert F. Hoffman, Russell Holden, Clay Holdsworth, Scott Hollingsworth, John R. Holmes, Steve Holmes, Neal S. Holter, Thomas M. Holtschneider, Amirul Hoque, Sabbir Hossain, Tyler S. Howlin, Andrew Robert Hoy, An Ting Hsia, Hao-Yun Hsu, David Hu, Tom C. Hu, Yu-Chi Hu, Long Huang, Mi Huang, Joshua Hubbell, Michael J. Huberts, Julie C. Hudson, Geoffrey Hugo, Donglai Huo, Justin D. Hurley, Martina H. Hurwitz, Mohammad NASEEM Hussain, Andrew Hwang, Ui-Jung Hwang, Joe Ianni, Geoffrey Ibbott, Khalil Ibrahim, Ileana Iftimia, Mohammad Islam, Oleksandra Ivashchenko, Keyvan Jabbari, Joshua Jackson, Joshua Jackson, Ferenc Jacso, Mary Ellen Jafari, Karim Jaffer, Amit Jain, Ngoneh Jallow, Sachin R. Jambawalikar, Joshua A. James, Sunyoung Jang, Desiree Jangha, Tomaj Javidtash, Jun-Hsuang Jen, Peter Jenkins, Todd P. Jenkins, Andrew R. Jensen, Mads Lykke Jensen, Hosang Jin, Bowen Jing, Danielle Marie Johnson, Joshua D. Johnson, Holly Johnston, Kevin Jones, Badal R. Juneja, Nikhil Sriram Kabilan, Robert Kaderka, Jaclyn Kain, Faraz Kalantari, Maduka M. Kaluarachchi, Ali Kamen, Amrit Kaphle, Alireza Kassaee, Saravjeet Kaur, Vaiva Kaveckyte, Linda A. Kelley, Katelyn Kelly, Kathryn Elise Bales Kelly, Delsin B. Khan, Om Khanal, Maksud Khatri, William Steadman Kiger, Bryan Kim, Jong Oh Kim, Sangroh Kim, Sophia Kim, Brian W. King, Erica Kinsey, Assen S. Kirov, Marc T. Kleiman, Matic Knap, Robert J. Kobistek, Inger-Karine Kolkman-Deurloo, Erika Kathryn Kollitz, Dramane Konate, Xiang Kong, Walter Kopecky, Sandra Kos, Nataliya Kovalchuk, Shane Krafft, James A. Kraus, Robert Krauss, Deae-eddine Krim, Serguei Kriminski, Kerry T. Krugh, Lichung Ku, Esra Kucukmokroc, Randi Kudner, Andrew T. Kuhls-Gilcrist, Antti Juhani Kulmala, Akila D. Kumarasiri, Zacariah E. Labby, Taylor Lackey, Edcer Jerecho Laguda, Thang Lam, Michael A. S. Lamba, Kara Lambson, Laurel Zenaida Larramendi, Andy D. Lau, Wolfram Laub, Tyler Laugh, Robert P. Laureckas, Donald Laury, Patricia Lavey, Ashlie Laydon, Adam LeVay, Brandon Lee, Brian Lee, Dong-Chang Lee, Ji Hyun Lee, Jui-Min Lee, Bryan Lemieux, Matthew Lesher, Nicole Leslie, Etienne Lessard, Trish Lewis, Alan Li, Alexander N. Li, Hui Li, Jenny Li, Jiaxin Li, Qiongge Li, Taoran Li, Xiang Li, Yanlong Li, Zisheng Li, Xing Liang, Yun Liang, Chien-Yi Liao, Karisa Liaw, Sung-Yen Lin, Tiffany Lin, Holly M. Lincoln, Lin Ling, Chang Liu, Shaohua Liu, Yu Liu, Chih-Ming Mark Lo, Eric Lobb, Dilson Lobo, Virginia L. Lockamy, Lauren C. Long, Nelia S. Long, Troy Long, Michele Loscocco, Thomas Lowinger, Cynthia Lu, Minghui Lu, Winnie Lu, Yonggang Lu, Jianqiao Luo, Pei-Chin Luo, Xuhan Luo, Jan Luse, Daniel A. Lutterman, Dang Hoang Oanh Luu, Yulia Lyatskaya, Trina Lynd, Morgan Cervo Lyon, Chi Ma, Jingfei Ma, Tianjun Ma, Laurie Madden, Gregory E. Madison, Kurt Maffei, Michael J. Maffett, Nyasha G. Maforo, Dennise Magill, Emma Magness, Alphonso W. Magri, Dennis Mah, Usman Mahmood, Rebecca N. Mahon, Courage Mahuvava, Andrew D. Maidment, Gerassimos M. Makrigiorgos, Harish K. Malhotra, Kate Mallory, P. Scott Mange, Vivek Maradia, Jacob Marasco, Camilla Marino, Loren R. Marous, Wagner Marques, Craig M. Marsden, Edward I. Marshall, Jonathan Marshall, Caroline Martel, Colin Martin, Alejandro Martinez, Jeffrey P. Masten, Richard Mathew, Bobby Mathews, Anetia S. Matthews Jackson, Matthew R. Maynard, Joel R. McAllister, Rafe McBeth, James A. McCulloch, Kiernan T. McCullough, Keelin McGee, Kiaran P. McGee, Brian M. McGill, Christopher M. McGuinness, Robert McKoy, Steven M. McQuiggan, Lacey Medlock, Chirag D. Mehta, Nancy Meiler, Robert Meiler, Matthew A. Meineke, Caroline Melancon, Daniel S. Meleason, Carolyn Meltzer, Chunhua Men, Stephanie Merkl, Michael Merrick, Keith A. Michel, Georgeta Mihai, Ana Mihail, Devin A. Miles, Edward J. Miller, Elizabeth A. Miller, Ronaldo Minniti, Linda Minor, Filmon Misgina, Ajeet Kumar Mishra, Chad Mitchell, Drew P. Mitchell, Gregory S. Mitchell, Jessica Mitchell, Jacqueline Moga, Uwe Mollenhauer, Julien-Fabrice Ngoune Momo, Emi Mondragon, Nicholas Mongillo, Victor J. Montemayor, Scott Montgomery, Diego Luis Montufar Hidalgo, Mohammadamin Moradi, Serban Morcovescu, Jill Anna Moreau, Terrance Moretti, Toby Morris, Courtney K. Morrison, Alexander Albert Morrow, Jill Moton, Jonathon Mueller, Reshma Munbodh, Daniel W. Mundy, Daniela Murgulet, Scott A. Murphy, Benjamin C. Musall, Jana E. Musgrove, Samantha Musial, Yong Hum Na, Joel Nace, Paul Naine, Justin Napolitano, Vrinda Narayana, Ganesh Narayanasamy, Moulay Ali Nassiri, Muhammad Naveed, Richard D. Nawfel, Ritish Nedunoori, Aaron Nelson, Kristin J. Nelson, Aaron Nelson, MD, Neerajan Nepal, Emily Neubauer Sugar, Shree Neupane, David Newey, Mark Newpower, Susan Ng, Bau H. Nguyen, Daniel J. Nicewonger, Xingyu Nie, Ethan Nikolau, Kevin D. Nitzling, Kai Niu, John M. Noll, Prashanth K. Nookala, Khalid Noori, James T. Norweck, Hamidreza Nourzadeh, Jessica L. Nute, Sebastiaan Nysten, Kevin OGrady, Ceferino Obcemea, Keith Ober, Jacqueline Ogburn, Timilehin Ogunbeku, Mina Okello, Brian Olson, Martin Keane Ongeti, Savannah Orrill, Joseph Ott, Bahadir Ozus, Jan Pachon, Alexis Paige-Glenn, Jason Paisley, Farideh Pak, Randahl C. Palmer, Kiran Pant, Virginia Pappas, Abby Pardes, So-Yeon Park, Alexis Parker, Karla Parker, Homayon Parsai, Tommy O. Parsons, Pankaj Patel, Amy Patrick, Johnlly G. Pattaserial, Lindsey M. Patton, Taylor J. Patton, Nava R. Paudel, Timothy John Paul, Colin Paulbeck, Olga V. Pen, Cheng Peng, Yuanlin Peng, Carmelo Perez, Dominik PeruÅ”ko, Alexander Pevsner, Douglas Pfeiffer, Melanie Piantino, Daniel Piatigorski, Rajesh Pidikiti, Natalie Piechowska, Greg Pierce, Tina Pike, Donika Plyku, Robert Pohlman, Mariela Adelaida Porras-Chaverri, Subechhya Pradhan, Guillem Pratx, Chris Proctor, Alexander Pryanichnikov, Diane Pugel, Yue Qiu, Adam C. Quinton, Todd Racine, Andrea Radine, Dustin K. Ragan, Balasubramanian Rajagopalan, Kishore Rajendran, Eric V. Ramirez, Mehdi Ramshad, Vijay K. Rana, Brianne Raulston, Amy K. Readshaw, Hailey Reaux, Ian Reineck, Xuemin Ren, Meral L. Reyhan, Davenport Ria, Matthew J. Riblett, Kenneth M. Richardson, Rebecca F Richardson, Matthew Richeson, Ashlyn Rickard, Adam Riegel, Lynn N. Rill, Miguel A. Rios, E. Russell Ritenour, Scott P. Robertson, Marthony L. Robins, Rebecca Robinson Rey, Steve Rodney, Priscila Rodrigues, Edgardo Rodriguez, Tino Romaguera, Emilie Roncali, Joseph E. Roring, Alison R. Roth, Lawrence N. Rothenberg, Nick Rothwein, Kricia Emilia Ruano Espinoza, Damian DG Rudder, Donald R. Ruegsegger, Erwin W. Ruff, Brandon J. Russell, Frederick Rustad, Narayan Sahoo, Jonathan H. Saleeby, Habeeb H. Saleh, Flavio Salinas Aranda, Steffen Sammet, Daniel Sandoval, Aman Sangal, Joseph P. Santoro, MaĆra Santos, Alexis Marie Sanwick, Milind Sardesai, Vikren Sarkar, Duminda Satharasinghe, Jessica L. Saunders, Carmen Sawyers, Sarah B. Scarboro, James Scheuermann, Colleen G. Schinkel, Dale Schippers, Joshua William Schlegel, David J. Schlesinger, Charles Ross Schmidtlein, Erich Schmitz, Jose Schneider, Erich A. Schnell, Lisa Schober, Leah Schubert, Michelle L. Schwer, James Seekamp, Jennifer Seger-Paisley, J. Anthony Seibert, Balaji Selvaraj, Raj N. Selvaraj, Meredith A. Semon-Pomposelli, Lasitha Senadheera, Naima Senhou, Christopher F. Serago, Hananiel Setiawan, Shakil B. Shafique, Aarti Shah, Hina Shah, Alok Shankar, Ryan Shanks, Kritika Sharma, Sunil K. Sharma, Jennifer M. Shealy, Ron Sheen, Gina L. Shelton, Mohammad Ullah Shemanto, Zion Sheng, Andrew J. Shepard, Justin R. Sherman, Kaizhong Shi, Xiaolin Shi, J. Allen Shih, Taciana Soares Shiue, Deborah J. Shumaker, Noah Silverberg, Ramon Alfredo C. Siochi, Amogh Sirniirkar, Marlene Skopec, Michael G. Skowronski, Dana Smetherman, Erika Smith, Eileen Sneeden, Jesse Snyder, James C. So, Emilie Soisson, Nima Soltani, Kwang Hyun Song, Liang Song, Xiaoling Song, Jigar B. Soni, Yashvant C. Soni, Jagadeesh R. Sonnad, Michael A. Speidel, Michael P. Speiser, James D. Speitel, Tanya Spellman, Joseph Patrick Speth, Daniel J. Spitznagel, Sara T. St. James, Alexander Stanforth, George Starkschall, James Stebelton, James P. Steinman, Jonathan M. Stenbeck, Robin L. Stern, Patrick D. Stevens, Erika Stewart, Gary Stinnett, Sarah A. Strand, Keith J. Strauss, Kristen Stryker, Edward Sudentas, Kevinraj N. Sukumar, Orhan H. Suleiman, John L. Sullivan, Paul Robert Sullivan, Mei Sun, Peng Sun, Kumari Sunidhi, Jacob Sunnerberg, Elizabeth A. Swanson, William J. Swanson, Larry E. Sweeney, Sean Swiedom, Gregory Szalkowski, Katsuyuki Taguchi, MohammadAli Tajik-Mansoury, Reza Taleei, Derek Tang, Shengzhang Tang, Mahin Tariq, Jason S. Tavel, Neelima Tellapragada, Alexandra Tellez, Dawn Tellez, Juan Manuel Tellez, Xiaokun Teng, James A. Terry, Biniam Tesfamicael, Confex Test, Aapm Tester, Contex Tester, Namita Thakur, David J. Theel, Kathleen D. Thomas, Emily A. Thompson, Stephen K. Thompson, Daniela Thorwarth, Kevin Tierney, Anders Tingberg, Ragu S. Tirukonda, Robert A. Tokarz, Robert J. Tokarz, Naresh B. Tolani, Brian Tom, Shidong Tong, Ebrahim Torangan, Martin Tornai, Diana Tovmasian, Trung Tran, Bryan Traughber, Samuel Trichter, Sugata Tripathi, Petra Trnkova, Panagiotis Tsiamas, Ryan Tsiao, Haifeng Tu, Philip N Tubiolo, Jeff D. Turley, Adam Turner, PhD, DABR, Conner Ubert, Chibueze Zimuzo Uche, Vincent M. Ulizio, Gnanaprakasam Vadivelu, Hema Vaithianathan, Sunil Valaparla, Fabiola Vallejo CastaƱeda, Liesbeth Vancoillie, Matt Vanderhoek, Caroline Vanderstraeten, Nancy J. Vazquez, Linda A. Veldkamp, Trevor L. Vent, Anthony M. Ventura, Keith Ver Steeg, Irina Vergalasova, CHENG WANG, Christopher Waite-Jones, Matthew C. Walb, Reuben Waldron, Arlie Vester Walker, Jim Walsh, Alisa I. Walz-Flannigan, Cheng Wang, Helen H. Wang, Hui-Chuan Wang, Jiali Wang, Jian-xiong Wang, Kai Wang, Kyle Wang, Ning Wang, Yuntao Wang, Zhendong Wang, Zhixing Wang, Grace Ward, Sarah M. Way, Rachel L. Waymire, Melvin Weatherly, Charles Travis Webb, Lincoln J. Webb, Jia Wei, Wenbo Wei, Callie Weiant, Miriam S. Weiser, Eric M. Welch, Jered R Wells, Michelle C. Wells, S. Brock Westlund, Gerald A. White, John White, Darunee S. Whitt, David Wikler, Austin Wilkinson, Carly D. Williams, Mark Bennett Williams, Joshua M. Wilson, Keli C. Wilson, Nicholai Wingreen, Joseph Wishart, Alon Witztum, Katherine M. Woch Naheedy, Andy Wolf, Serkalem E. Wondimgezhu, Genevieve N. Wu, Wenhao Wu, Ye Wu, Yuxiang Xing, Li Xiong, Weijun Xiong, Xunyi Xu, Yan Xu, Tianyou Xue, Yanjie Xue, Girijesh K. Yadava, Derek Z. Yaldo, Kaiguo Yan, Yue Yan, Nathan E. Yanasak, Bowen Yang, Ray Yang, Xiaocheng Yang, Yun Yang, Yunze Yang, Bin Yao, Yuan (John) Yao, Anna N Yaroslavsky, Feng-Ju Yeh, Susanne Yerich, Michael V. Yester, Xiaofei Ying, Tekeste Yohannis, Tony Younes, Eyesha Younus, Jialu Yu, Justin Yu, Yan Yu, Pui Kuen Yuen, Joshua P. Yung, Steve Yuvan, Mehran Miron Zaini, Ramtin Zakikhani, Lee Anne Zarger, Merissa Zeman, Lisa Zent, Di Zhang, Dongqing Zhang, Hao Zhang, Jun Zhang, Lei Zhang, Lu Zhang, Maochen Zhang, Peng Zhang, Peng Zhang, Qingyun Zhang, Xin Zhang, Yi Zhang, Yinghui Zhang, Yongbin Zhang, Zhongwei Zhang, Bo Zhao, Xuandong Zhao, Yizhou Zhao, Weiping Zheng, Yi Zheng, Troy Zhou, Xiangzhi Zhou, Xiaohong Joe Zhou, Yuwei Zhou, Jin Zhu, Mingyao Zhu, Eric C. Zickgraf, John R. Zullo, Piotr Zygmanski, Leo van Battum
Affiliation: DTC Consultants, NL Health, Dartmouth Hitchcock Medical Center, ProCure Proton Therapy Center, Medical & Radiation Physics, Inc, Augusta University, Genesis Healthcare Partners, Michigan Medicine, Washington DC VA Medical Center, VA Medical Center, Mercy Southeast Hospital, Food And Drug Administration, University of Iowa, Advanced Radiation Physics Service, Inc, University of Pittsburgh, University of Wisconsin, Wellspan Health, Good Samaritan Hospital, Howard University Hospital, St. Mary's Memorial Health Center, Penn State Milton S. Hershey Med Ctr., New York Weill Cornell Medical Ctr, X-Ray Computations, Inc., US Navy, Penn State Health, Kelsey Seybold Clinic, Advocate Aurora, Fresno Cancer Center, Central Alabama Radiation Oncology, Riverside Methodist Hospital Ohio Health, Alliance Medical Physics, OCSRI, AAPM, University of Minnesota, University of Virginia Health System, PGIMER, Barrigel, Johns Hopkins Univ, Appex Physics Partners, BoxElder Research, University of Oklahoma Health Sciences Center, Sanford Roger Maris Cancer Center, Berkshire Medical Center, New York Weill Cornell Medicine, Mobimed Technologies, University of Chicago Medicine, Johns Hopkins Medicine, Maimonides Medical Center, Nuvance Health - Vassar Brothers, Crozer Keystone Health System, Karmanos/McLaren, Vanderbilt University, Panhandle Cancer Care Center, The University of Michigan, Piedmont Healthcare, Gamma Medical Physics LLC, Mississippi Baptist Medical Center, Astarita Associates Inc, Landauer Medical Physics, RPS Oncology, Zhejiang University, University of North Carolina School of Medicine, University of Kentucky HealthCare, Peninsula Regional Medical Center, Varian Advanced Oncology Solutions, New York Proton Center, Wake Forest University Medical Center, Rutgers Robert Wood Johnson Medical School, Tx Oncology, Lewis Hall Singletary Oncology Center (John D. 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Graham Cancer Center, ChristianaCare, Upstate Medical Physics, PC, Loma Linda University Medical Center, Radpocket LLC, RayzeBio, St. Peter's Health Partners, MJS Medical Physics Inc., UCHealth, Astarita Associates, Image X Institute, School of Health Sciences, University of Sydney, Oregon Urology Institute, Seoul National University Hospital, GenesisCare, Reid Health, National Institutes of Health (NIH), Bayhealth Medical Center, Albany Medical College, Advocate Radiation Oncology, Rush, Krueger-Gilbert Health Physics, Sentara Healthcare, Accuray Incorporated, CTSI, RTI Group North America, University of Louisville, Thomas Jefferson University Hospital, NCI, West Physics Consulting, LLC, Boston Childrenās Hospital, CHOP, Greater Baltimore Medical Center, Florida Cancer Specialist & Research Institute, Radformation, Texas Oncology South Austin Cancer Center, Mosaic Life Care Cancer Center, University of Virginia, CPDS, Ravenel Oncology Center, M Health Fairview, Torrance Memorial Medical Center, RJK Medical Physics, Inc., NYU Langone-Long Island, Trinity CancerCare Center, Bryn Mawr Hospital, Sanford Health, University of Michigan Health Systems, One Physics - Ohio Medical Physics Consulting, West Michigan Cancer Center, University Hospitals Cleveland Medical Center, Levine Cancer Institute/Atrium Health, Advanced Biophotonics Laboratory, University of Massachusetts Lowell, UConn Health, U.S. Nuclear Regulatory Commission, Wayne State University, University of Oklahoma Health Science Center, Houston Methodist Hospital, Varian, Arizona Center for Cancer Care, NIH Clinical Center, Stanford University, Hospital of the University of Pennsylvania, Peel Regional Cancer Center, Credit Valley Hospital, University of Alabama Birmingham, Lark Physics, Ackerman Cancer Center, Southern District Health Board, Milestone Medical Physics Group, UTHealth Houston McGovern Medical School, Rutgers University, West County Radiological Group, Mayo Clinic, Philips Healthcare, University of Vermont Medical Center, Novant Health at Presbyterian Medical Center, Harvard Medical School, Ratio Therapeutics, Naval Medical Center Portsmouth, University Colorado Denver, School of Medicine, Sutter Santa Cruz Radiation Oncology, Radiophysics Associates, Northside Hospital, SolutionHealth, University of Virginia Health Systems, Johns Hopkins School of Medicine, Austin Health, UPMC, St. Joseph Mercy Health System, Cancer Center of Hawaii, Centra Health, Aspekt Solutions, Winter Haven Hospital, Henry Ford Hospital System, Medical University of South Carolina, Maine Medical Center, Phoenixville Hospital, National Institutes of Health, Associated Medical Professionals, Gundersen Health System, St. Luke's University Health Network, Univesity of Victoria, Department of Radiation Oncology, Stanford University School of Medicine, Washington University in St. Louis, Queen's Medical Center, West O'ahu, Canon Medical Research USA, Inc., Robert Wood Johnson University Hospital, UVA Health System, Section for Biomedical Physics, Department of Radiation Oncology, University Hospital and Medical Faculty, Eberhard Karls University TĆ¼bingen, Centennial Medical Physics, McLaren Cancer Institute, Cancer Care Group, Texas Oncology-Tyler, CTSI Oncology Practice Solutions, a varian company, Bank of Cyprus Oncology Centre, Columbus Regional Hospital, Central Florida Cancer Insititute, Texas Oncology - 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Sloan Kettering Cancer Ctr, UF Health Proton Therapy Institute, California Medical Physics, Inc., Henry Ford Health, UPMC Hillman Cancer Center, Vanderbilt University School of Medicine, Saddleback Memorial Medical Center, Stony Brook University Medical Center, University of Pennslyvania, TOP Physics Consulting, Nuvance/Norwalk Hospital, Oregon Health & Science Univ, Brigham & Women's Hospital, University of Pennsylvania, McLaren ā Greater Lansing, American Board of Radiology, Penn Medicine | Virtua Radiation Oncology, University of Tennessee, OneOncology, University of Colorado, Indiana University Medical Center, Stronach Regional Cancer Centre, Yale New Haven Health, Vanderbilt University Medical Center, Emory Healthcare / Winship Cancer Institute, Cape Fear Valley Radiation Oncology, Northwell Health, Sutter Health, Virginia Mason Medical Center, MUSC Health- Florence Medical Center, Departement of Radiation Oncology, Curie Institute, Paris, University of Michigan, MD Anderson Cancer Center, University of Alabama at Birmingham, Radiology Inc., Cedars Sinai Hospital, Roswell Park Cancer Institute, Duke University Health System, VA Hospital, DVA Medical Ctr., JFK Medical Center, Mount Sinai West, National Cancer Institute, Chung Nam National University Sejong Hospital, Indiana Univesity, AdventHealth Daytona Beach, Orlando Health, Clinical Research Institute HUS, Northwest Medical Physics Center, University of Pennsylvania, Penn Medicine, Kettering Health Network, Children's Mercy Kansas City, IBA, UMass Memorial Hospital, US Oncology, Kaiser Permanente Southern California Medical Group, The Queen's Health System, NewYork-Presbyterian, Miami Valley Hospital, Karlsruhe Institute of Technology, Piedmont Hospital, Accuray Inc., VARIAN - Advanced Oncology Solutions, GE Healthcare, Virtua Health, Northwestern Medicine Chicago Proton Center, CARO/Montgomery Cancer Center, Walter Reed National Military Medical Center, InterMountain Health Care, Englewood Hospital and Medical Center, Henry Ford Health System, Fluke Health Solutions, Texas Oncology, PA, Inova Alexandria Hospital, New Milford Hospital, Fox Chase Cancer Center, Radiation Therapy and Cancer Inst, Penn State College of Medicine, University of California San Francisco, Unity of Oncologic Therapy S.A., Canon Medical Systems USA, Kaiser Permanente, Baptist Health Paducah, Salina Regional Health, Centre d'Oncologie de la Cote Basque, Minneapolis Radiation Oncology, Coastal Carolina Radiation Oncology, Saint Francis Hospital, Advocate Christ Medical Ctr, Universidad de Costa Rica, CAMP, Blessing Hospital, Texas Oncology Cancer Ctr, CommonSpirit Health, Navy Medical Forces Atlantic, Regions Hospital, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Methodist Hospital, Champlain Valley Physicians Hospital, Mayo Clinic Jacksonville, OHSU, Promedica Health System, Arthur JE Child Comprehensive Cancer Centre, Rhode Island Hospital / Warren Alpert Medical, UPMC Pinnacle Health, Vassar Brothers Hospital, McLeod Regional Medical Center, RJ Tokarz MIRS, St. Francis Hospital, Astarita Associates, Inc., UC Davis Medical Center, Mount Nittany Medical Center, Covenant Radiation Center, National Institute of Standards and Technology, AdventHealth Orlando, St Helena Hospital, Icon Cancer Centre, University of Washington, Indiana University, TrueNorth Medical Physics LLC, Medstar Georgetown University Hospital, Harold Alfond Center for Cancer Care, MN Oncology, Jupiter Medical Center, GE HealthCare, Rochester General Hospital, Piedmont Health, Atrium Health, Minneapolis VA Health Care System, CentraCare Health System, OMPC Diagnostic LLC, Evergreen Health Medical Center, CAMC Cancer Center - Beckley, University of Kansas Medical Center, Avera McKennan, Cleveland Clinic, Louisiana Tech University
Abstract Preview: N/A...
Authors: Daniel O Connor, Mary Feng, Hui Lin, Hengjie Liu, Xin Miao, Michael Ohliger, Jess E. Scholey, Ke Sheng, DI Xu, Wensha Yang, Yang Yang
Affiliation: UCSF, University of California, Los Angeles, Department of Radiation Oncology, University of California San Francisco, Department of Radiation Oncology, University of California, San Francisco, Department of Radiation Oncology, University of California at San Francisco, University of San Francisco, Department of Radiology, University of California, San Francisco, University of California San Francisco, Siemens Medical Solutions USA Inc.
Abstract Preview: Purpose: The scanning time for a fully sampled MRI is lengthy. Compressed sensing (CS) has been developed to minimize image artifacts in accelerated scans, but the required iterative reconstruction is...
Authors: David P. Adam, William T. Hrinivich, Taoran Li, Alexander Lu, Michael Salerno, Alejandro Sisniega, Boon-Keng Kevin Teo
Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Johns Hopkins University, University of Pennsylvania
Abstract Preview: Purpose: Cone beam CT (CBCT)-guided online adaptive radiotherapy (ART) is of growing interest, with recent improvements in image quality provided through larger detector panels and fast gantry rotatio...
Authors: Ross I. Berbeco, Vera Birrer, Raphael Bruegger, Pablo Corral Arroyo, Roshanak Etemadpour, Dianne M. Ferguson, Rony Fueglistaller, Thomas C. Harris, Yue-Houng Hu, Matthew W. Jacobson, Mathias Lehmann, Nicholas Lowther, Daniel Morf, Marios Myronakis
Affiliation: Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology, Dana Farber/Brigham and Women's Cancer Center, Department of Radiation Oncology, Brigham and Womenās Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Womens Hospital, Dana Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Varian Imaging Laboratory, Dana-Farber Cancer Institute
Abstract Preview: Purpose: Multi-layer flat-panel imagers can improve for clinical image-guided radiotherapy applications, including the enhanced visualization of soft tissue and a reduction in image artifacts. Each im...
Authors: Xiaohu Li, Jianjun Shen, Guozhi Zhang, Sihua Zhong, Jingjie Zhou
Affiliation: United Imaging Healthcare
Abstract Preview: Purpose:
Visualization of carotid artery vessel wall on computed tomography angiography (CTA) imaging is challenging. This study aims to develop a novel post-processing technique, black-blood compu...
Authors: Heng Li
Affiliation: Johns Hopkins University
Abstract Preview: N/A...
Authors: Hao Chen, Kai Ding, Xiaoyu Hu, Xun Jia, Heng Li, Devin Miles
Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University
Abstract Preview: Purpose: Accurately delivering radiation dose is critical in intensity-modulated proton therapy (IMPT), where intrafraction motion management plays a pivotal role. Our proton therapy system equipped x...
Authors: Vasiliki Chatzipavlidou, Ilias Gatos, George C. Kagadis, Theodoros Kalathas, Paraskevi Katsakiori, Anna Makridou, Dimitris N. Mihailidis, Nikos Papathanasiou, Ioanna Stamouli, Stavros Tsantis
Affiliation: Theageneio Hospital, University of Pennsylvania, University of Patras
Abstract Preview: Purpose: To compare the performance of multiple deep learning (DL) networks, including DenseNet201, InceptionV3, MobileNetV3, EfficientNetB2, NASNetMobile, VGG19, ResNet50, and Xception, in classifyin...
Authors: Yifei Hao, Chengliang Jin, Wenxuan Li, Bing Luo, Tao Peng, Yulu Wu, Fang-Fang Yin, Yue Yuan, Lei Zhang, Ruojun Zhou
Affiliation: School of Future Science and Engineering, Soochow University, Electrical and Computer Engineering Graduate Program, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose: Federated learning is a patient privacy-protecting technique that has recently been applied in the medical field. This study aims to evaluate the performance of several deep learning networks...
Authors: Frank F. Dong, Megan C. Jacobsen, Ke Li, Xinming Liu, John Rong
Affiliation: UT MD Anderson Cancer Center
Abstract Preview: Purpose: We aimed to understand the physical performance of a CdTe PCD-based detector system within a whole-body PCD-CT scanner, with the goal of optimizing its clinical application. Instead of relyin...
Authors: Chao Guo, Xinhua Li, Michael F. McNitt-Gray, Di Zhang, Yifang (Jimmy) Zhou
Affiliation: UCLA, David Geffen School of Medicine at UCLA, Cedars-Sinai Medical Center
Abstract Preview: Purpose: The objective was to quantify the liver fat volume fraction (FVF) with virtual monochromatic imaging (VMI) using photon-counting CT (PCCT) and dual energy CT (DECT).
Methods: A custom desi...
Authors: Ali Hosni, Oleksii Semeniuk, Andrea Shessel, Teo Stanescu
Affiliation: Princess Margaret Hospital, Princess Margaret Cancer Centre, Brown University Health
Abstract Preview: Purpose: To report on early clinical experience with a two-phase radiotherapy approach for esophageal cancer patients, utilizing CBCT-based conventional C-arm linear accelerator radiotherapy and MR-gu...
Authors: Salahuddin Ahmad, Imad M. Ali, Zaid Alkalani, Nesreen Alsbou
Affiliation: University of Oklahoma, University of Central Oklahoma, University of Oklahoma Health Sciences Center
Abstract Preview: Purpose: To design and evaluate a 3D-detector for proton CT-imaging and radiography, utilizing volumetric plastic scintillator detector exposed to high-energy therapeutic beams from proton therapy sys...
Authors: Sean L. Berry, Weixing Cai, Laura I. Cervino, Maria F. Chan, Yabo Fu, Puneeth Iyengar, Hsiang-Chi Kuo, Nancy Lee, Tianfang Li, Xiang Li, Jean M. Moran
Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: Iodine maps derived from Dual-Energy CT (DECT) provide critical biological information for radiotherapy treatment planning, but clinical iodine maps often mistakenly include bones due to insu...
Authors: Casey C. Heirman, Kyle J. Lafata, Xiang Li, Breylon Riley, Jack B Stevens, Tammara Watts
Affiliation: Duke University, Department of Radiation Oncology, Duke University
Abstract Preview: Purpose: To leverage quantitative fluorescence imaging and spatial transcriptomics for characterizing the spatial and molecular heterogeneity of the tumor microenvironment (TME) in HPV+ head and neck ...
Authors: Baojun Li
Affiliation: Boston University Medical Center
Abstract Preview: N/A...
Authors: Rico Castillo, Katherine Gonzalez, Casey C. Heirman, Kyle J. Lafata, Xiang Li, Yvonne M Mowery, Yvonne M Mowery, Allison Pittman, Ashlyn G. Rickard, Breylon Riley
Affiliation: Duke University, Department of Radiation Oncology, Duke University, University of Pittsburgh
Abstract Preview: Purpose: To evaluate the relationships between quantitative imaging biomarkers and chemoradiation resistance in head and neck squamous cell carcinoma (HNSCC) using preclinical mouse models.
Met...
Authors: Yizheng Chen, Md Tauhidul Islam, Mingjie Li, Lei Xing
Affiliation: Department of Radiation Oncology, Stanford University
Abstract Preview: Purpose:
Biomedical image segmentation (BIS) is a cornerstone of medical physics, enabling accurate delineation of anatomical structures and abnormalities, which is critical for diagnosis, treatmen...
Authors: Yifei Hao, Ting Huang, Wenxuan Li, Xiang Li, Manju Liu, Rong Liu, Tao Peng, Yulu Wu, Fang-Fang Yin, Lei Zhang, Yaogong Zhang, Jiangtao Zhu
Affiliation: Duke University, Department of Radiology, The Second Affiliated Hospital of Soochow University, School of Future Science and Engineering, Soochow University, Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose: This study investigates the alterations in structure-function coupling (SC-FC) networks in Parkinsonās disease (PD) patients, focusing on region-specific disruptions and compensatory mechanis...
Authors: Weixing Cai, Laura I. Cervino, Qiyong Fan, Yabo Fu, Tianfang Li, Xiang Li, Jean M. Moran, Hai Pham, Pengpeng Zhang
Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: AAPM Task Group Report 273 emphasizes the importance of rigorous validation to ensure the generalizability and robustness of machine learning-based clinical tools before their implementation ...
Authors: Daming LI, Jinsen Xie, Zhe Zhang
Affiliation: Peking University Shenzhen Hospital Radiotherapy Department, School of Nuclear Science and Technology, University of South China
Abstract Preview: Purpose: To analyze the actual doses received during radiotherapy for head and neck cancers (HNC) using Velocity, providing insights for adaptive radiotherapy decision-making.
Methods: Thirty-three...
Authors: Diandra Ayala-Peacock, Junzo Chino, Oana I. Craciunescu, Allison Jones, Kyle J. Lafata, Kim Light, Sheridan G. Meltsner, Jack B Stevens
Affiliation: Duke University, Department of Radiation Oncology, Duke University, Duke University Medical Center
Abstract Preview: Purpose: This study aims to develop an MR-based method that retrospectively correlates longitudinal changes in morphology and physiology for the bulboclitoris and vaginal canal with dose received duri...
Authors: Geoffrey D. Hugo, Eric Laugeman, Thomas R. Mazur, Pamela Samson, Kim A. Selting, Zhehao Zhang
Affiliation: University of Illinois, Washington University in St. Louis School of Medicine, WashU Medicine
Abstract Preview: Purpose: To investigate the robustness of a deep learning (DL)-based 4D-CBCT motion-compensated (MoCo) reconstruction method to out-of-distribution data.
Methods: Our developed 4D-CBCT reconstructi...
Authors: Sean L. Berry, Weixing Cai, Laura I. Cervino, Yusuf Emre Erdi, Yabo Fu, Yiming Gao, Daphna Gelblum, Wendy B. Harris, Xiuxiu He, Tianfang Li, Xiang Li, Seng Boh Gary Lim, Jean M. Moran, Mitchell Yu, Hao Zhang
Affiliation: Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Department of Medical Physics, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: Gated CBCT (gCBCT) is commonly employed for respiratory gating lung cancer patients to ensure precise patient setup. However, the scan is time-consuming on C-arm linear accelerators (LINAC) d...
Authors: Li-Sheng Geng, David Huang, Haoze Li, Xi Liu, Meng Wang, Tianyu Xiong, Ruijie Yang, Weifang Zhang, Meixin Zhao
Affiliation: School of Physics, Beihang University, Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Department of Radiation Oncology, Peking University Third Hospital, Department of Nuclear Medicine, Peking University Third Hospital, Medical Physics Graduate Program, Duke Kunshan University
Abstract Preview: Purpose: This study aimed to develop a deep learning-based framework for simultaneously generating lung perfusion and ventilation images from three-dimensional computed tomography (3D CT) images.
M...
Authors: Hengjie Liu, Dan Ruan, Ke Sheng, DI Xu
Affiliation: Physics and Biology in Medicine, University of California, Los Angeles, Department of Radiation Oncology, University of California, San Francisco, Department of Radiation Oncology, University of California at San Francisco, Department of Radiation Oncology, University of California, Los Angeles
Abstract Preview: Purpose:
State-of-the-art deep learning-based deformable image registration often uses large, complex models directly adapted from computer vision tasks but achieves only comparable performance to ...
Authors: Ming Dong, Carri K. Glide-Hurst, Joshua Pan, Nicholas R. Summerfield
Affiliation: Department of Computer Science, Wayne State University, Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Department of Human Oncology, University of Wisconsin-Madison
Abstract Preview: Purpose: Radiation dose to the cardiac nodes is more strongly associated with conduction disorders and arrythmias than whole heart (WH) metrics. However, node segmentation is challenging due to comple...
Authors: Guillermo Daniel Alvarez, Daniel Fino, Rocio Luz Gilli, Dorian Alexander Romero
Affiliation: School Foundation of Nuclear Medicine, INTECNUS Foundation, Nuclear Medicine and Radiotherapy Center of Southern Patagonia
Abstract Preview: Purpose: To evaluate the anatomical, functional, and molecular information from PET/MR images with F18-PSMA to identify intraprostatic lesions and delineate a boost in stereotactic body radiotherapy (...
Authors: Lawrence T. Dauer, Yusuf Emre Erdi, Yiming Gao, Dustin W. Lynch, Usman Mahmood
Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: Radiation dose to patients in CT examinations (CTDIvol, DLP) is tracked in dose monitoring solutions. Some solutions push for automatically estimating patient organ doses based on exam images...
Authors: Yizheng Chen, Michael Gensheimer, Mingjie Li, Lei Xing
Affiliation: Department of Radiation Oncology, Stanford University
Abstract Preview: Purpose: Automatically translating non-contrast to contrast-enhanced computed tomography (CT) images is critical for improving clinical workflow, reducing heathcare cost, minimizing radiation exposure...
Authors: Jiayun Chen, Shengqi Chen, Junchao Li, Fei Liu, Jianan Wu
Affiliation: Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Tongji Medical College, Huazhong University of Science & Technology, School of Electronic Engineering, Beijing University of Posts and Telecommunications, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Abstract Preview: Purpose: To assess if 3D Vane MRI can accurately depict the motion of the target volume and OARs.
Methods: This retrospective study included 54 liver cancer patients who underwent both 3D Vane MRI ...
Authors: Frank F. Dong, Megan C. Jacobsen, Ke Li, Xinming Liu, Humberto Monsivais, John Rong
Affiliation: Purdue University, UT MD Anderson Cancer Center
Abstract Preview: Purpose: To investigate the noise characteristics of a clinical photon counting detector CT (PCD-CT) system along axial and through-plane (Z) dimensions using 3D NPS measurements.
Methods: This stu...
Authors: Liang-Hsin Chen, Li-Chien Wei
Affiliation: National Taiwan University Cancer Center
Abstract Preview: Purpose: For proton therapy treatment, it is essential to ensure that the treatments are delivered safely and accurately. Quality assurance (QA) programs of proton treatment system is needed and proto...
Authors: Kazi Towmim Afrin, Imad M. Ali, Jordan West
Affiliation: University of Oklahoma Health Sciences Center, University of Oklahoma
Abstract Preview: Purpose: To simulate total-body-irradiation (TBI) with field-in-field treatment planning techniques and test portal dosimetry for dose verification and quality assurance.
Methods: CT images of full...
Authors: Guangjun Li, Ying Song, Huanan Tang, Tianxiong Wu, Qiuyi Ye, Wei Zhang
Affiliation: West China Second Hospital of Sichuan University, United Imaging Healthcare, West China Hospital of Sichuan University
Abstract Preview: Purpose:
To propose a general low-dose reconstruction model for ultra-sparse-view cone-beam CT (CBCT) and evaluate its clinical application in improving image quality and reducing radiation dose fo...
Authors: Yunxiang Li, Weiguo Lu, Xiaoxue Qian, Hua-Chieh Shao, You Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose:
Curating high-quality, labeled data for medical image segmentation can be challenging and costly, considering the existence of various image domains with differing modalities/protocols. Cr...
Authors: Jie Deng, Yunxiang Li, You Zhang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose: Magnetic Resonance Imaging (MRI) has exceptional soft tissue contrast and an essential role in radiotherapy. The introduction of clinical MR-LINACs has enabled adaptive radiotherapy (ART) usi...
Authors: Muhammad Ramish Ashraf, Kerriann Casey, Suparna Dutt, Jie Fu, Edward Elliot Graves, Xuejun Gu, Hao Jiang, Brianna Caroline Lau, Billy W Loo, Weiguo Lu, Rakesh Manjappa, Stavros Melemenidis, Erinn Bruno Rankin, Lawrie Skinner, Luis Armando Soto, Murat Surucu, Vignesh Viswanathan, Zi Yang, Amy Shu-Jung Yu
Affiliation: Department of Radiation Oncology, University of Washington and Fred Hutchinson Cancer Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine, Department of Comparative Medicine, Stanford University School of Medicine, Department of Radiation Oncology, Stanford University Cancer Center
Abstract Preview: Purpose: The intestine is a classical preclinical model for studying radiation injury, and histological quantification of intestinal crypts is a key assay for assessing this response. However, substan...
Authors: Jie Hu, Nan Li, Chuanbin Xie, Shouping Xu, Xinlei Xu, Gaolong Zhang, Zhilei Zhang
Affiliation: School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Radiation Oncology, the First Medical Center of the People's Liberation Army General Hospital, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, PeopleŹ¼s Republic of China, Department of Radiation Oncology, School of Physics, Beihang University, Beijing, 102206, PeopleŹ¼s Republic of China
Abstract Preview: Purpose: This study aims to synthesize CT images for MRI-only radiation therapy using a deep learning approach that integrates information from the T1- and T2-weighted MRI sequence.
Methods: 97 hea...
Authors: Naruomi Akino, Kirsten Lee Boedeker, Ilmar Hein, Akira Nishikori, Daniel W Shin
Affiliation: Canon Medical Systems Corporation, Canon Medical Research USA
Abstract Preview: Purpose: To validate a simulation tool using physics-based image quality metrics in both phantom and patient data, and to assess the low contrast detectability (LCD) of Super Resolution-Deep Learning ...
Authors: Mark Anastasio, Zong Fan, Hua Li, Changjie Lu, Lulu Sun, Xiaowei Wang, Zhimin Wang, Michael Wu
Affiliation: University of Illinois at Urbana-Champaign, University of Illinois at Chicago, Washington University School of Medicine, University of Illinois Urbana-Champaign, Washington University in St. Louis, University Laboratory High School
Abstract Preview: Purpose: Histological whole slide images (WSIs) are vital in clinical diagnosis. Although deep learning (DL) methods have achieved great success in this task, they often lack interpretability. Traditi...
Authors: Steve B. Jiang, Ruiqi Li, Hua-Chieh Shao, Kenneth Westover, You Zhang, Tingliang Zhuang
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose:
Respiratory motion is a long-standing challenge for lung SBRT, particularly for centrally-located lung tumors where increased toxicity demands more precise motion management during treatme...