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: 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: Michael W. Kissick, Chung Tin Lo, Jamie R McClelland, Niek Schreuder, Tracy Underwood
Affiliation: Hawkes Institute, University College London, Leo Cancer Care
Abstract Preview: Purpose: The emerging field of upright radiotherapy raises the question of how respiratory motion differs between upright and supine treatment postures. Therefore, we have developed a versatile pipeli...
Authors: Deshan Yang, Zhendong Zhang
Affiliation: Duke University, Department of Radiation Oncology, Duke University
Abstract Preview: Purpose:
The evaluation of deformable image registration (DIR) algorithms is crucial for improving accuracy and clinical adoption. However, reliable benchmarks, especially for inter-modality regist...
Authors: Gourav Jhanwar, Mojtaba Tefagh, Masoud Zarepisheh
Affiliation: The University of Edinburgh, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose:
Radiotherapy treatment planning involves solving computationally-intensive and time-consuming optimization problems. Central to these problems is a large matrix known as the dose-influence...
Authors: Ahmad Algohary, Adrian Breto, Quadre Emery, Radka Stoyanova
Affiliation: University of Miami, Department of Radiation Oncology, University of Miami
Abstract Preview: Purpose:
To develop a foundation model (U-Found) for multiparametric MRI (mpMRI) of the prostate by using self-supervised learning to prove the feasibility of a prostate-oriented foundation model u...
Authors: Victoria Doss, Tsion Gebre, Rachel B. Ger, Esi A Hagan, Elaina Hales, Russell K Hales, Xun Jia, Heng Li, Dezhi Liu, Todd R. McNutt, Meti Negassa, Anas Obaideen, Tinker Trent, K. Ranh Voong, Cecilia FPM de Sousa
Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University
Abstract Preview: Purpose: As cancer care advances, more patients require re-irradiation, yet evidence-based data is lacking. This study aimed to develop a thoracic re-irradiation database and explore time-dependent re...
Authors: Haonian Gong, Yue Gu, Meiqi Liu, Hsiao-Ming Lu, Yuxiang Wang, Yidong Yang
Affiliation: Hefei Ion Medical Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Department of Engineering and Applied Physics, University of Science and Technology of China
Abstract Preview: Purpose: To develop a proton CT system using scintillator-based 2D dose distribution detection for accurate proton imaging.
Methods: The proposed proton CT system consists of a brass collimator wit...
Authors: Davide Brivio, Ivan M. Buzurovic, Thomas C. Harris, Desmond A. O'Farrell
Affiliation: Department of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Brigham and Women's Hospital, Harvard Medial School, Dana-Farber Cancer Institute, Department of Radiation Oncology
Abstract Preview: Purpose: Cervical cancer can be treated with a brachytherapy boost following external beam radiotherapy. One applicator option is the Advanced Gynecological Applicator "Venezia" (Elekta) hybrid, consi...
Authors: Sumanta Manna, Atul Mishra, Surendra Prasad Mishra, Kailash Kumar Mittal, Anoop Kumar Srivastava, Neha Yadav
Affiliation: Department of Radiation Oncology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Department of radiation Oncology, Apollomedics Super Speciality Hospitals, Department of Radiation Oncology, Uttar Pradesh University of Medical Sciences, Department of Radiation Oncology, Kalyan Singh Super Specialty Cancer Institute
Abstract Preview: Purpose: This study aimed to assess the dosimetric performance of Volumetric Modulated Arc Therapy (VMAT), step-and-shoot Intensity-Modulated Radiation Therapy (ss-IMRT), and dynamic Intensity-Modulat...
Authors: J Isabelle Choi, Meng Wei Ho, Isabel Lin, Hang Qi, Qi Zeng, Ajay Zheng
Affiliation: New York Proton Center, Scarsdale High School
Abstract Preview: Purpose: Proton therapy is a promising treatment modality for breast cancer due to its unique dosimetric advantage. Accurate dose calculation is critical to ensure effective treatment outcomes. The fo...
Authors: Ameer Elaimy, Theodore Lawrence, Charles S. Mayo, Seyyedeh Azar Oliaei Motlagh, Benjamin S. Rosen
Affiliation: University of Michigan
Abstract Preview: Purpose: To analyze the impact of clinical features on short-term survival, toxicity, and poor outcomes in HCC patients treated with SBRT,using automated data aggregation and enhanced algorithms with ...
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 traditionally support radiation-based medicine, but their expertise is translatable to image-based fields like pathology. As pathology transitions to digital practices, phy...
Authors: Fei Han, James M. Lamb, Michael Vincent Lauria, Daniel A. Low, Tessa Elizabeth Maurer, Danilo Maziero, Claudia R. Miller, Drew Moghanaki, Louise Naumann, Nicolas Viot
Affiliation: Department of Radiation Oncology, University of California, Los Angeles, Siemens Healthineers, UCLA, University of California Los Angeles
Abstract Preview: Purpose: Patients with lung disease outside radiotherapy are barred from high dose protocols used for motion modeling, but MRI could offer no-dose alternatives. Image-based ventilation is a promising ...
Authors: Christian Fiandra, Marco Fusella, Gianfranco Loi, Silvia Pesente, Lorenzo Placidi, Claudio Vecchi, Orlando Zaccaria, Stefania Zara
Affiliation: Abano Terme Hospital, University of Turin, Maggiore della Carità, Tecnologie Avanzate Srl, Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Abstract Preview: Purpose: Deformable-image-registration (DIR) is essential in modern radiotherapy for adaptive RT, re-irradiation, and other clinical applications. Multimodal DIR is especially important in MRI-only wo...
Authors: Renee Farrell, Jinkoo Kim, Xin Qian, Ziyu Shu, Zhaozheng Yin, Tiezhi Zhang
Affiliation: Stony Brook Medicine, Washington University in St. Louis, Stony Brook University, Stony Brook University Hospital
Abstract Preview: Purpose: Ultra-short CT scan allows fast imaging speed, dose reduction, and compact system design. We developed a deep image prior (DIP) based reconstruction method named Hybrid Prior-Enhanced Deep Im...
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: Asma Amjad, Renae Conlin, Eric S. Paulson, Christina M. Sarosiek
Affiliation: Department of Radiation Oncology, Medical College of Wisconsin
Abstract Preview: Purpose:
MR-guided adaptive radiation therapy (MRgART) is transforming clinical workflows, requiring fast, accurate organs-at-risk (OARs) contouring. While deep learning auto-segmentation (DLAS) of...
Authors: Harald Keller, Iymad Mansour, Jeff D. Winter
Affiliation: Princess Margaret Cancer Centre
Abstract Preview: Purpose: The growing number of adaptive therapy applications is motivating image segmentation and direct dose calculation on CBCT. The purpose of this investigation is to evaluate the recently release...
Authors: Amanda J. Deisher, Andrew YK Foong, Witold Matysiak, Jing Qian, Xueyan Tang, Erik J. Tryggestad, Mi Zhou
Affiliation: Mayo Clinic
Abstract Preview: Purpose: Phase gating is commonly employed to mitigate the impact of tumor motion in radiotherapy. Due to the machine-specific time delay between triggering and radiation delivery, the triggering sign...
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: Caroline Chung, Michael Knopp, Stephen F. Kry, Hunter S. Mehrens, John Rong
Affiliation: The University of Texas MD Anderson Cancer Center, UT MD Anderson Cancer Center, University of Cincinnati
Abstract Preview: Purpose: To evaluate the variability of CT dose index (CTDIvol) and radiomics features across a large cohort of radiotherapy simulation CT scans from multiple institutions.
Methods: Three IROC phan...
Authors: Palanisamy Karunanithi, Karthikeyan Perumal, Siva Subramanian Vadivel
Affiliation: Dr. Kamakshi Memorial Hospital
Abstract Preview: Purpose:
Recent advancements in high dose-rate (HDR) brachytherapy include the image guidance, new applicators, and dose calculation algorithms. Brachytherapy has steep dose gradient, hence relativ...
Authors: Sebastien A. Gros, Hyejoo Kang, Andrew Keeler, Luke Layman, Jason Patrick Luce, Ha Nguyen, John C. Roeske
Affiliation: Department of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Stritch School of Medicine Loyola University Chicago, Cardinal Bernardin Cancer Center, Loyola University Chicago
Abstract Preview: Purpose:
This study aims to optimize virtual monoenergetic (VM) images obtained from dual-energy (DE) cone-beam computer tomography (CBCT) protocols for Image-Guided Radiation Therapy (IGRT). The o...
Authors: Sarah Dumont, Trevor Ketcherside, An Liu, William T. Watkins, Qiuyun Xu
Affiliation: RefleXion Medical, Department of Radiation Oncology, City of Hope National Medical Center
Abstract Preview: Purpose:
The RefleXion X1 SCINTIX algorithm convolves beam fluence with real-time PET distributions for tracking and plan adaptation, but radiotherapy Planning Target Volumes (PTVs) are often signi...
Authors: Edward Robert Criscuolo, Deshan Yang
Affiliation: Duke University, Department of Radiation Oncology, Duke University
Abstract Preview: Purpose:
Deformable registration of 4DCT images has many clinical applications, but current methods are unreliable and can produce dangerous errors. Iterative, parametrized image registration does ...
Authors: Michael Bowers, Patrik Brodin, Madhur Garg, Rafi Kabarriti, William P. Martin, Todd R. McNutt, Julie Shade, Wolfgang A. Tomé, Christian Velten
Affiliation: Johns Hopkins University, Oncospace, Inc., Montefiore Medical Center
Abstract Preview: Purpose: Development of an automated planning tool utilizing AI generated patient-specific dose-volume histogram predictions for rapid H&N plan generation.
Methods: Planning best-practices were dev...
Authors: Lando S. Bosma, Victoria Brennan, Nicolas Cote, ChengCheng Gui, Nima Hassan Rezaeian, Jue Jiang, Sudharsan Madhavan, Josiah Simeth, Neelam Tyagi, Harini Veeraraghavan, Michael J Zelefsky
Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, NYU Langone Health, University Medical Center Utrecht, Memorial Sloan Kettering Cancer Center
Abstract Preview: Purpose: Deep learning-based deformable image registration (DIR) models often lack robustness when applied to datasets with differing imaging characteristics. We aimed to (1) improve registration netw...
Authors: Rajeev K. Badkul, Ronald C Chen, Ying Hou, Harold Li, Chaoqiong Ma, Jufri Setianegara
Affiliation: Department of Radiation Oncology, University of Kansas Medical Center
Abstract Preview: Purpose:
Postimplant urinary toxicity is common in prostate low-dose-rate (LDR) brachytherapy. We developed a machine learning (ML) model to explore the correlation between spatial dose distributio...
Authors: Stephen Araujo, Jing-Tzyh Alan Chiang, Cynthia E. Davis, Eri Haneda, Andrew Karellas, Thomas C Larsen, William Ross, Hsin Wu Tseng, Srinivasan Vedantham, Pengwei Wu
Affiliation: Department of Biomedical Engineering, The University of Arizona, GE Aerospace Research, Department of Medical Imaging, The University of Arizona, GE HealthCare Technology & Innovation Center
Abstract Preview: Purpose: To determine the system parameters and technique factors for image acquisition needed so that the mean glandular dose (MGD) of approximately 4.5 mGy is not exceeded for a recently developed, ...
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: Katrinus Keijnemans, Eric S. Paulson, An Tai
Affiliation: Department of Radiotherapy, University Medical Center Utrecht, Department of Radiation Oncology, Medical College of Wisconsin
Abstract Preview: Purpose: Time-weighted mid-position images (MidPs), derived from four-dimensional computed tomography (4DCT) via deformable image registration (DIR), are frequently selected for treatment planning due...
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: 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: Hilary Louisa Byrne, Owen Thomas Dillon, Paul J. Keall, Hunor Kertesz, Ricky O'Brien, Tess Reynolds
Affiliation: University of Sydney, Image X Institute, Faculty of Medicine and Health, The University of Sydney, Medical Radiations, School of Health and Biomedical Sciences, RMIT University
Abstract Preview: Purpose: Imaging of lung motion and function has typically required multiple volumetric CT images to create deformation vector fields (DVF) for motion and ventilation images (function). However, CT sc...