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Results for "novel approach": 107 found

A Combination of Radiomics and Dosiomics for Gross Tumor Volume Regression in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR)

Authors: Hao Peng, Yajun Yu

Affiliation: 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: Personalized ultra-fractionated stereotactic adaptive radiotherapy (PULSAR) is a novel ablative radiation dosing scheme developed by our institution. This study aims to establish a regression...

A Framework for the Standardization of Radiomics Classes in the Presence of Blur and Noise

Authors: Huay Din, Grace Jianan Gang, Grace Hyun Kim, Michael F. McNitt-Gray, Joseph W. Stayman, Yijie Yuan

Affiliation: Johns Hopkins University, John Hopkins University, University of Pennsylvania, David Geffen School of Medicine at UCLA

Abstract Preview: Purpose:
Radiomics rely on quantitative features to discern underlying biological signatures. However, feature dependence on the imaging systems themselves hampers the creation of reproducible and ...

A Hybrid 4π-Proton Arc Robust Optimization

Authors: Wenhua Cao, Xianjin Dai, PhD, Hadis Moazami Goudarzi, Gino Lim, Miaolan Xie, Lei Xing, Lewei Zhao

Affiliation: University of Chicago Booth School of Business, Department of Radiation Oncology, Stanford University, Department of Industrial Engineering, University of Houston, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: Proton Arc Therapy (PAT) delivers a continuous dose of radiation during gantry rotation. 4π is a non-coplanar technique used for advanced proton therapy delivery. This work proposes a hybrid ...

A Hybrid Radiomics-Integrated Machine Learning Framework for Early Identification of Potential Radiation Pneumonitis in Lung Cancer Patients

Authors: Christos Ilioudis, Marios Myronakis, Sotirios Raptis, Kyriaki Theodorou

Affiliation: Medical Physics Department, Medical School, University of Thessaly, Department of Information and Electronic Engineering, International Hellenic University (IHU)

Abstract Preview: Purpose: This study presents a radiomics-driven, machine learning framework developed to predict the possibility of Radiation Pneumonitis (RP), as a side effect of radiation therapy in lung cancer pat...

A Hybrid Transformer-CNN for Tracking-Free 3D Ultrasound Volume Reconstruction from 2D Freehand Scans

Authors: Wenfeng He, Tian Liu, Pretesh Patel, Richard L.J. Qiu, Keyur Shah, Tonghe Wang, Xiaofeng Yang, Chulong Zhang

Affiliation: Icahn School of Medicine at Mount Sinai, Emory University, Medical Physics Graduate Program, Duke Kunshan University, Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: This study introduces a tracking-free approach to reconstruct 3D ultrasound (US) volumes from 2D freehand US scans. By eliminating the reliance on external tracking systems, this method aims ...

A Monte Carlo-Based Secondary Dose Verification Tool for Treatment Plans of Robotic Radiosurgery System

Authors: Chuxiong Ding, Xuejun Gu, Heejung Kim, Weiguo Lu, Yang Kyun Park, Yulong Yan

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, University of Texas Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: The purpose of this study was to develop and evaluate a Monte Carlo (MC) dose calculation software (DosemanCK) for secondary dose verification of CyberKnife (CK) treatment plans. Unlike tradi...

A New Approach for Teaching Mathematical and Computational Methods to Medical Physics Students

Authors: Jenghwa Chang, Marissa Joyce Vaccarelli

Affiliation: Northwell, Hofstra University Medical Physics Program

Abstract Preview: Purpose: AAPM Report 365 recommends medical physics graduate programs offer courses covering mathematical/statistical methods (section 3.1.7) as well as computational methods/medical informatics (sect...

A New Voxel-Based Similarity Approach for Assessing Contour Similarity and Clinical Dosimetric Effect

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....

A Novel Approach to Preclinical Intensity-Modulated Radiotherapy Using an Open-Source Ring-Based Compensator Device and Inverse Treatment Planning System

Authors: Benjamin R. Awad, Bulent Aydogan, Howard J Halpern, Erik Pearson, Gage H. Redler, Jordan M. Slagowski, Rajit Tummala, Autumn E. Walter-Denzin, Jimmy Zydlo

Affiliation: University of Wisconsin-Madison Department of Human Oncology, University of Oxford, The University of Chicago, Moffitt Cancer Center, California State University, Fresno, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: Small animal models are crucial in cancer research to develop, validate, and translate basic scientific hypotheses into clinical advancements. This study aims to make small animal intensity-m...

A Novel Feature Selection Method for Survival Prediction of Head-and-Neck Following Radiation Therapy

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...

A Novel Method for Modeling the Rbe of Clinical Proton Beams

Authors: Anthony Hong Cheol Lim, Alexander R ODell, Alexander Stanforth, Chris C. Wang

Affiliation: Georgia Institute of Technology, Emory University

Abstract Preview: Purpose: The purpose of this work is to investigate the variation of proton RBE, with respect to depth, in the context of clinical SOBP. Employing a novel approach, this study conducts a Monte Carlo s...

A Novel Method for Virtual Extension of Image-Derived Vasculature Segmentations

Authors: Raneem Atta, Alejandro Bertolet, Mislav Bobić, Wesley E. Bolch, Robert Joseph Dawson, Carlos Huesa-Berral, Harald Paganetti, Eric Wehrenberg-Klee

Affiliation: Massachusetts General Hospital, University of Florida, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital and Harvard Medical School, Department of Radiology, Massachusetts General Hospital and Harvard Medical School

Abstract Preview: Purpose: Representations of intra-organ vasculature have a variety of uses in the field of computational dosimetry but generally rely on models derived from population-averaged reference individuals. ...

A Novel Non-Measured and DVH-Based IMRT QA Framework with Machine Learning for Instant Classification of Susceptible Lung SBRT VMAT Plans

Authors: Chuan He, Anh H. Le, Iris Z. Wang

Affiliation: Roswell Park Comprehensive Cancer Center, Cedars-Sinai

Abstract Preview: Purpose: To develop a non-measured and DVH-based (NMDB) IMRT QA framework integrating machine learning (ML) to classify lung SBRT VMAT plans prone to delivery errors
Methods: 560 Eclipse AcurosXB l...

A Novel Proton Lattice Modality Using Minibeams

Authors: Hao Gao, Yuting Lin, Nimita Shinde, Weijie Zhang

Affiliation: Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: LATTICE, a form of spatially fractionated radiation therapy (SFRT), delivers high-dose peaks and low-dose valleys to the target volume and has been clinically used for large target volumes. H...

A Novel Semi-Analytic Approach for Dose Calculation in Proton Minibeam Radiotherapy

Authors: Hao Gao, Wangyao Li, Yuting Lin, Chao Wang, Wei Wu

Affiliation: Institute of Modern Physics, Chinese Academy of Sciences, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Proton minibeam radiation therapy (pMBRT) delivers a unique peak-and-valley dose pattern using collimators with narrow slits, offering improved normal tissue sparing compared to conventional ...

A Novel Setup for Flash Radiotherapy Beam Delivery at Isocenter Using Downstream Electron Scattering

Authors: Dale W. Litzenberg, Ikechi S Ozoemelam, Rowan Paplanus, Michael Pillainayagam, Donald A. Roberts

Affiliation: University of Michigan, Oregon Health & Science University

Abstract Preview: Purpose: Clinical linear accelerators use dual foil scattering systems designed to achieve large uniform fields (up to 25×25cm²), which can reduce beam fluence by up to 93% compared to the unmodified ...

A Quantitative Metric for Evaluating Treatment Plan Robustness in Intensity Modulated Proton Therapy

Authors: Grant Evans, Maxwell Arthur Kassel, Charles Shang, Stephen Shang

Affiliation: South Florida Proton Therapy Institute, SFPRF

Abstract Preview: Purpose: Proton pencil beam scanning therapy is particularly sensitive to field translational shifts and beam range variations, which can degradation of dose distribution and compromise the treatment....

A Real-Time Framework for Fiducial Tracking and Intrafraction Motion Assessment of Cyberknife in Stereotactic Body Radiation Therapy for Liver Cancer

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...

A Vision-Language Deep Learning Model for Predicting Survival Outcomes in Glioblastoma Patients

Authors: Zachary Buchwald, Chih-Wei Chang, Richard L.J. Qiu, Mojtaba Safari, Hui-Kuo Shu, Lisa Sudmeier, Xiaofeng Yang, David Yu, Xiaohan Yuan

Affiliation: Emory University and Winship Cancer Institute, Emory University, Georgia Institute of Technology, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: This study proposes a novel vision-language model (VLM) to predict survival outcomes in glioblastoma (GBM) patients. By integrating multimodal MRI data and clinical information, the proposed ...

AI-Driven Drug Discovery through an Interactive Analysis of Radiomics and Biological Insights in Glioblastoma

Authors: Nobuki Imano, Yuzuha Kadooka, Daisuke Kawahara, Misato Kishi, Yuji Murakami, Shumpei Onishi

Affiliation: Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima University, Department of Neurosurgery, Hiroshima University Hospital

Abstract Preview: Purpose: Radiomics has proven useful in predicting overall survival in glioblastoma (GBM) patients, but consistent molecular correlations remain unidentified, leaving its biological basis unclear. Thi...

Acute Workforce Shortages and Potential Solutions through Expanded Residency Training Infrastructure

Authors: Hania A. Al-Hallaq, Abby E. Besemer, Jay W. Burmeister, Jessica Fagerstrom, Kristi Rae Gayle Hendrickson, Neil A. Kirby, Christine M. Swanson, Christopher Watchman, Brian D Wichman

Affiliation: University of Wisconsin-Madison Department of Medical Physics, University of Washington, University of Louisville Brown Cancer Center, Banner, Karmanos Cancer Center, Gershenson ROC, Wayne State University School of Medicine, US Oncology, UT Health San Antonio, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: To address the acute workforce shortage in medical physics by presenting a novel residency expansion model leveraging existing CAMPEP-accredited infrastructure and partnerships with underserv...

Advancing Deep Segmentation Accuracy in CBCT for Radiotherapy Via Robust Scatter Mitigation: First Results from a Pilot Trial

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...

Advancing Post-Radiotherapy Toxicity Extraction: A Novel Privacy-Preserving, Parameter-Efficient Language Model Fine-Tuning

Authors: Hassan Bagher-Ebadian, Indrin J. Chetty, Mohamed Elshaikh, Ahmed I Ghanem, Mohammad M. Ghassemi, Reza Khanmohammadi, Benjamin Movsas, Shayan Siddiqui, Kundan S Thind, Jawad Turfa

Affiliation: Michigan State University, Department of Radiation Oncology,Cedars-Sinai Medical Center, Department of Radiation Oncology, Henry Ford Health-Cancer, Detroit, MI and Alexandria Department of Clinical Oncology, Faculty of Medicine, Alexandria University, Henry Ford Health

Abstract Preview: Purpose: Extracting late radiotherapy-induced toxicities from free-text notes using natural language processing is complicated by negative symptom identification, computational demands, and data priva...

An Efficient, Low-Cost, and Accessible Film Dosimetry Scanning System

Authors: Parminder S. Basran, Wyatt Flanders, Skylar Sylvester

Affiliation: Cornell University

Abstract Preview: Purpose: To develop a reliable, efficient, and low-cost methodology for quantifying radiation doses using radiochromic film and a custom-built lightbox and to evaluate the system's performance compare...

An Image Representation of Radiomics Data for Enhanced Deep Radiomics Analysis with Consideration of Feature Interactions

Authors: Xiaolong Fu, Runping Hou, Md Tauhidul Islam, Lei Xing

Affiliation: Department of Radiation Oncology, Stanford University, Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine

Abstract Preview: Purpose: To introduce a novel schematic image representation of radiomics data, called OmicsMap, for high-performance deep radiomics analysis. OmicsMap transforms tabular radiomics data into an image ...

An Integrated Optimization Method for Joint Lattice Positioning and Dose Planning in Lattice Therapy

Authors: Hao Gao, Xue Hong, Harold Li, Yuting Lin, Jufri Setianegara, Xin Tong, Chao Wang, Weijie Zhang, Ya-Nan Zhu

Affiliation: Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Lattice radiotherapy (LATTICE) is a form of spatially fractionated radiation therapy (SFRT) designed to deliver high radiation doses to specific tumor regions (vertices) while sparing surroun...

An Integrated Robust Inverse Planning Based on AI-Built Dose Kernel Library for Preclinical Radio-Neuromodulation Using Focused Kv X-Rays

Authors: Wenbo Gu, Chenhui Qiu, Ke Sheng, Liyan Sun, Weiyuan Sun, Lei Xing

Affiliation: Department of Radiation Oncology, Stanford University, Department of Radiology, Stanford University, University of Pennsylvania, Department of Radiation Oncology, University of California, San Francisco, Department of Radiation Oncology, Stanford University,

Abstract Preview: Purpose:
The small animal radio-neuromodulation platform developed in our previous work utilized focused kV x-ray beams rotating and translating in predefined trajectories to irradiate small, mm si...

Analyzer-Less X-Ray Interferometry with Super-Resolution Methods

Authors: Joyoni Dey, Hunter Cole Meyer, Murtuza Taqi

Affiliation: Louisiana State University

Abstract Preview: Purpose: We propose using super-resolution methods for X-ray grating interferometry without an analyzer with detectors that fail to meet the Nyquist sampling rate needed for traditional image recovery...

Augmenting Histopathology Lymphocyte Detection with Gpt-4 in-Context Visual Reasoning

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...

Automating Radiographic Sharp Score Prediction in Rheumatoid Arthritis Using Multistage Deep Learning Methods

Authors: Hajar Moradmand, Lei Ren

Affiliation: University of Maryland School of Medicine, University of Maryland

Abstract Preview: Purpose:
The Sharp-van der Heijde (SvH) score is essential for assessing joint damage in rheumatoid arthritis (RA) from radiographic images. However, manual scoring is time-intensive and prone to v...

Beam Orientation Optimization in IMRT Using Sparse Mixed Integer Programming and Non-Convex IMRT Fluence Map Optimization

Authors: Yabo Fu, Yang Lei, Yu Lei, Haibo Lin, Ruirui Liu, Tian Liu, Kenneth Rosenzweig, Charles B. Simone, Shouyi Wei, Jiahan Zhang

Affiliation: Icahn School of Medicine at Mount Sinai, University of Nebraska Medical Center, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York Proton Center

Abstract Preview: Purpose: Beam orientation optimization (BOO) in intensity-modulated radiation therapy (IMRT) is traditionally a complex, non-convex problem tackled with heuristic methods. This study benchmarks global...

Box-Prompt Zero-Shot Smart Segmentation in Radiation Oncology Using a SAM-Based Model: Smartsam

Authors: Kristen A. Duke, Samer Jabor, Neil A. Kirby, Parker New, Niko Papanikolaou, Arkajyoti Roy, Yuqing Xia

Affiliation: St. Mary's University, The University of Texas San Antonio, UT Health San Antonio

Abstract Preview: Purpose:
The Segment Anything Model (SAM) is a foundational box-prompt-based model for natural image segmentation. However, its applicability to zero-shot 3D medical image segmentation, particularl...

Characterizing a VMAT Optimization Algorithm with Integrated Static-Angle Modulated Ports for Esophageal Cancer Treatment

Authors: Lei Dong, Yin Gao, Taoran Li, Michael Salerno, Boon-Keng Kevin Teo, Melissa Vila

Affiliation: Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania

Abstract Preview: Purpose: A novel solution, RapidArc Dynamic-RAD (Varian Medical Systems, Palo Alto, USA) has been implemented to integrate VMAT with modulation of IMRT-like static-angle ports, including use of a dyna...

Clinically Ready Simulation Package for Monitoring Gamma Hotspot Emission, and Detection in Patient Anatomy

Authors: Ananta Raj Chalise, Matthias K Gobbert, Zhuoran Jiang, Sina Mossahebi, Stephen W. Peterson, Jerimy C. Polf, Lei Ren, Ehsan Shakeri, Vijay Raj Sharma, Jie Zhang

Affiliation: University of Maryland School of Medicine, University of Maryland Baltimore County, University of Maryland, Baltimore County, Stanford University, University of Maryland, School of Medine, Department of Physics, University of Cape Town, M3D, Inc

Abstract Preview: Purpose: Prompt gamma (PG) imaging is a promising modality for proton dose verification. Currently, there is a lack of effective tool to investigate the PG emission during proton therapy and optimize ...

Combining Patch-Based CNN Models with Hierarchical Shapley Explanations for Breast Cancer Diagnosis

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...

Compressed Sensing Enhanced Radiomic Feature Selection for Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR)

Authors: Hao Peng, Yajun Yu

Affiliation: 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: Personalized ultra-fractionated stereotactic adaptive radiotherapy (PULSAR) is a new treatment paradigm pioneered by our institution. But the early decision-making process in PULSAR is challe...

Contrastive Learning and Hybrid CNN-Transformer Model for Unpaired MR Image Synthesis in Acute Cerebral Infarction

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...

Cross-Slice Attention for Unsupervised 3D Pelvic CBCT to CT Translation

Authors: Xu Chen, Jun Lian, Yunkui Pang, Pew-Thian Yap

Affiliation: University of North Carolina at Chapel Hill, Huaqiao University

Abstract Preview: Purpose: Unsupervised CBCT-to-CT translation in the pelvic region is essential for accurate radiotherapy delivery and adaptive image-guided interventions. However, current models for cross-modality tr...

Deep Autoencoder for Ring Artifact Denoising in Photon-Counting CT

Authors: Magdalena Bazalova-Carter, James Day, Xinchen Deng

Affiliation: University of Victoria

Abstract Preview: Purpose:
Ring artifacts in Photon-Counting Computed Tomography (PCCT) images can degrade image quality. this study aims to suppress ring artifacts with a novel autoencoder-based framework that leve...

Deformable Scintillator Array Dosimetry for In Vivo Volumetric Dose and Dose-Rate Validation of Uhdr Proton Therapy

Authors: Petr Bruza, Megan Clark, David J. Gladstone, Joseph Harms, Anthony E. Mascia, Brian W Pogue, Roman Vasyltsiv, Zhiyan Xiao, Rongxiao Zhang, Yongbin Zhang

Affiliation: Cincinnati Children's Proton Therapy Center, University of Missouri, Dartmouth College, Thayer School of Engineering, Dartmouth College, Washington University in St. Louis, University of Wisconsin - Madison

Abstract Preview: Purpose: With developing FLASH trials requiring diligent delivery monitoring, current proton therapy in-vivo dosimetry (IVD) cannot provide comprehensive verification, including dose and dose-rate vol...

Development and Experimental Validation of an in-House Proton Treatment Planning System with Energy Layer Optimization

Authors: Hao Gao, Yuting Lin, Jufri Setianegara, Aoxiang Wang, Peng Xiao, Qingguo Xie, Yanan Zhu

Affiliation: Department of Biomedical Engineering, Huazhong University of Science and Technology, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Intensity-modulated proton therapy (IMPT) achieves uniform tumor dose distribution while sparing organs-at-risk (OAR) by optimizing spot weights across energy layers. Accelerating IMPT delive...

Development of an Innovative and Efficient KBP-Based Automated Method for IMRT Optimization

Authors: Somayeh Gholami, Saeedeh Ketabi, Jeremy Kunz, Ali Yousefi

Affiliation: Department of Radiation Oncology, University of Utah, University of Utah, Department of Management- Operations Research, University of Isfahan

Abstract Preview: Purpose: This paper aims to present a novel approach for automatic knowledge-based planning optimization for Intensity Modulated Radiotherapy, along with the two downsizing techniques for improving th...

Dosimetric Analysis of Plans Using X-Ray and X-γ-Ray Combination Strategy for Advanced Cervical Cancer Patients with Pelvic Lymph Node Metastasis

Authors: Yi Li

Affiliation: Department of Radiation Oncology, the First Affiliated Hospital of Xi'an Jiaotong University

Abstract Preview: Purpose: Advances in radiotherapy technology are crucial for improving cervical cancer (CC) treatment. This study explores a novel X-ray and γ-ray dual-modality radiation (TaiChiB) system, comparing i...

Dosimetric Impact of Adaptive Radiotherapy with Ethos for Prostate Cancer: Localized Analysis of Bladder and Rectum across Planned, Non-Adaptive Accumulated, and Adapted Treatments

Authors: Huisi Ai, Scott Glaser, Yi Lao, Percy Lee, Sara N. Lim, An Liu, Bo Liu, Borna Maraghechi, Kun Qing, Chengyu Shi, William T. Watkins, Terence Williams, Qiuyun Xu, Jiahua Zhu

Affiliation: WashU Medicine, Graduate Program in Bioengineering, University of California San Francisco-UC Berkeley, City of Hope Orange County, Department of Radiation Oncology, City of Hope National Medical Center, Department of Radiation Oncology, City of Hope Orange County, Department of Radiation Oncology, City of Hope Medical Center

Abstract Preview: Purpose: To employ a novel surface dose mapping approach for localized assessment of the dosimetric impact of Ethos adaptive radiotherapy (ART) for prostate cancer (PC).
Methods: This study include...

Dual-Domain Neural Network Cone-Beam CT Correction for Online Adaptive Proton Therapy

Authors: Daniel H. Bushe, Arthur Lalonde, Hoyeon Lee, Harald Paganetti, Brian Winey

Affiliation: Universite de Montreal, Massachusetts General Hospital, Massachusetts General Hospital and Harvard Medical School, University of Hong Kong

Abstract Preview: Purpose: Improving the precision and fidelity of daily volumetric imaging is essential for enabling adaptive proton therapy (APT). While cone-beam CT (CBCT) provides daily volumetric imaging, their ut...

Efficient Robustness Optimization in Intensity Modulated Proton Therapy for Head and Neck Cancer Via Visual State Space Attention Generative Adversarial Networks (VSSA-GAN)

Authors: Nan Li, Yaoying Liu, Shouping Xu, Gaolong Zhang

Affiliation: Department of Radiation Oncology, School of Physics, Beihang University, School of physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose: In intensity-modulated proton therapy (IMPT) for head and neck cancer, CBCT registration ensures accurate setup, minimizing dose errors. Unlike IMRT, IMPT plans directly define tumor volumes ...

Enhancing CNN-Based Brain Metastasis Detection in MRI By Integrating Locoregional 3D Deformation Technique

Authors: Minbin Chen, Ke Lu, Kaizhong Shi, Chunhao 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: MRI-based automatic detection of brain metastases is often challenged by the small size and subtle nature of metastases. This study aimed to develop a novel deep learning-based brain metastas...

Enhancing Dose Conformity in Halcyon SRS Plans: A Novel Approach Using Optimized Collimator Angles and Sub-Arcs.

Authors: David Chighvinadze, Chieh-Wen Liu, Sugandima Weragoda, Ping Xia

Affiliation: Cleveland Clinic Sandusky, Cleveland Clinic

Abstract Preview: Purpose: To explore the feasibility of using coplanar beams with collimator angle optimization for brain SRS plans with Halcyon system.
Methods: This study used a dataset of 26 patients with 2-3 br...

Enhancing Proton Treatment and Mitigating Radiation-Induced Lung Injury Using a Novel Cycle Diffusion Approach for Lung Ventilation Estimation

Authors: Yang Lei, Haibo Lin, Tian Liu, Charles B. Simone, Shouyi Wei, Ajay Zheng

Affiliation: Icahn School of Medicine at Mount Sinai, New York Proton Center

Abstract Preview: Purpose: Radiation-induced lung injury (RILI), encompassing pneumonitis and fibrosis, represents a critical dose-limiting factor in lung cancer radiation therapy. Variability in treatment outcomes is ...

Enhancing Synthetic Pelvic CT Images from CBCT Using Vision Transformer with Adaptive Fourier Neural Operators

Authors: Rashmi Bhaskara, Oluwaseyi Oderinde

Affiliation: Purdue University

Abstract Preview: Purpose: This study proposes a novel approach to overcoming CBCT image quality limitations by developing an improved synthetic CT (sCT) generation method based on a CycleGAN architecture using Vision ...

Evaluation of an Analytical Simulation Technique By Comparing Transmitted Spectra Against GEANT4 through a Hafnium-Loaded Heterogeneous Phantom

Authors: Sabrina Campelo, Sandun Y. Jayarathna, Adam D. Melancon, Paige L. Nitsch, Christopher Ryan Peeler, Julianne M. Pollard-Larkin, Ramaswamy Sadagopan, Xiaochun Wang, George Zhao

Affiliation: The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: Development of an in-house analytical simulation for streamlining photon counting detector (PCD) system protocols through measuring transmitted photon energy spectra through a Hafnium (Hf)-lo...

First Phantom Testing of Biology-Guided Radiotherapy for Sequential Integrated Boost Radiotherapy

Authors: Girish Bal, David J. Carlson, Huixiao Chen, Zhe (Jay) Chen, Emily A. Draeger, Dae Yup Han, Henry S. Park

Affiliation: RefleXion Medical, Department of Therapeutic Radiology, Yale University School of Medicine

Abstract Preview: Purpose: This study explores the feasibility, accuracy, and dosimetric performance of hybrid biology-guided radiotherapy (BgRT) combined with image-guided radiotherapy (IGRT) for delivering sequential...

First in-Vivo Proton Radiography Experiments for an Image-Guided Small Animal Irradiation Platform with a TimePix3-Based Detector Setup

Authors: Niels Bassler, Jonathan Bortfeldt, Carlos Granja, Guyue Hu, Margarita Kozak, Julie Lascaud, Kirsten Lauber, Grigory Liubchenko, Jasper Nijkamp, Cristina Oancea, Prasannakumar Palaniappan, Katia Parodi, Marco Pinto, Per R. Poulsen, Marco Riboldi, Brita Singers Sørensen, Matthias Würl

Affiliation: Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Department of Radiation Oncology, LMU University Hospital, LMU Munich, Department of Medical Physics, Ludwig-Maximilians-Universität München (LMU Munich), Danish Centre for Particle Therapy, Aarhus University Hospital, Department of Medical Physics, Ludwig-Maximilians-Universität (LMU) München, Department of Experimental Clinical Oncology, Aarhus University, Department of Oncology, Aarhus University Hospital, Advacam

Abstract Preview: Purpose: To apply in-vivo proton radiography (pRad) to aid image registration and treatment plan refinement for a novel precision image-guided small animal proton irradiation platform.

Methods:...

Follow-the-Leader Framework for Adaptable Target Segmentation in Radiotherapy

Authors: Mingli Chen, Xuejun Gu, Mahdieh Kazemimoghadam, Weiguo Lu, Qingying Wang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: This study introduces a novel template-guided deep learning framework for primary gross tumor volume (GTVp) segmentation, addressing challenges posed by diverse tumor types and enabling a uni...

Formulation of Equivalent Dose in 2-Gy Fractions (EQD2) Based on the Linear-Quadratic-Linear (LQL) Model from First Principles

Authors: Makunda Aryal, Qiongge Li, Sook Kien Ng, Christopher F. Njeh, Edwin Quashie, Senthamizhchelvan Srinivasan, Yun Wang

Affiliation: Indiana University Medical School, Memorial Health Care System, Indiana University, Inova Hospital, Indiana University School of Medicine, Department of Radiation Oncology

Abstract Preview: Purpose: Linear-Quadratic-Linear (LQL) model is a modification of the traditional Linear-Quadratic model used in radiobiology to describe cell survival in response to radiation. The LQL model extends ...

Foundation Model-Augmented Learning for Automatic Delineation in Precision Radiotherapy

Authors: Xianjin Dai, PhD, Michael Gensheimer, Praveenbalaji Rajendran, Lei Xing, Yong Yang

Affiliation: Department of Radiation Oncology, Stanford University, Massachusetts General Hospital, Harvard Medical School

Abstract Preview: Purpose: Recent advances in the automatic delineation of radiotherapy treatment targets, which incorporate linguistic clinical data extracted by large language models (LLMs) into traditional visual-on...

Free Radical Irradiation Emergent (FIRE) MRI: Real-Time MR-Based Quantification of Radiation-Produced Free Radical Generation on a Clinical MR-Linac

Authors: Claire Keun Sun Park, Atchar Sudhyadhom, Veena Venkatachalam, Noah Warner

Affiliation: Harvard–MIT Program in Health Sciences and Technology, Massachusetts Institute of Technology, Brigham and Women’s Hospital and Dana Farber Cancer Institute, Harvard Medical School,, Brigham and Women’s Hospital and Dana Farber Cancer Institute, Harvard Medical School

Abstract Preview: Purpose: Modern radiotherapy achieves sub-millimeter spatial accuracy but fails to account for patient- and spatially-specific variations in biological response. Free radical generation (FRG), particu...

From Noisy Signals to Accurate Maps: Transforming Look-Locker MRI with an Intelligent T₁ Estimation

Authors: Prabhu C. Acharya, Hassan Bagher-Ebadian, Stephen L. Brown, James R. Ewing, Mohammad M. Ghassemi, Benjamin Movsas, Farzan Siddiqui, Kundan S Thind

Affiliation: Michigan State University, Oakland University, Henry Ford Health

Abstract Preview: Purpose: Accurate T1 quantification using T One by Multiple Read Out Pulse (TOMROP) sequences is essential for physiological assessments in dynamic-contrast-enhanced (DCE) MRI and T1 mapping studies. ...

Fully Automated Review of Prostate Radiotherapy Treatment Plan Quality

Authors: Yasin Abdulkadir, John Charters, Melissa Ghafarian, James M. Lamb, Dishane Chand Luximon, Jack Neylon

Affiliation: Department of Radiation Oncology, University of California, Los Angeles

Abstract Preview: Purpose:
Assessment of radiotherapy treatment quality in large-scale multi-institutional contexts remains an outstanding challenge. Retrospective human review of treatment plans is labor intensive ...

Functional Liver Image Guided Radiation Planning Using MRI with a Contrast Agent

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...

G4BraggReflection: Pioneering Wave-Particle Simulations for Convergent Radiotherapy and Beyond

Authors: Dirk A Bartkoski, Michael Kleckner, Dongyeon Lee, Reza Reiazi, Mohammad Reza Salehpour

Affiliation: The University of Texas MD Anderson Cancer Center, Convergent-RnR

Abstract Preview: Purpose:
To develop and validate G4BraggReflection, a novel physics process within Geant4, designed to incorporate diffraction properties resulting in Bragg reflection into Monte Carlo simulations....

Gene Interaction-Encoded Deep Learning Uncovers Microenvironment for Radiation-Induced Pulmonary Fibrosis

Authors: Md Tauhidul Islam, Junyan Liu, Lei Xing

Affiliation: Department of Radiation Oncology, Stanford University

Abstract Preview: Purpose: Radiation-induced lung injury (RILI) is a common complication in patients receiving radiotherapy for lung cancer, with approximately 16%–28% developing pulmonary fibrosis. The exact mechanism...

Graph-Based Feature Selection to Improve Stability and Reproducibility of CT-Based Radiomics in Head and Neck Squamous Cell Carcinoma: A Cross-Institutional Study

Authors: Daria Gaykalova, Ranee Mehra, Jason K Molitoris, Hajar Moradmand, Lei Ren, Amit Sawant, Phuoc Tran

Affiliation: University of Maryland School of Medicine, Maryland University Baltimore, University of Maryland, Department of Radiation Oncology, University of Maryland School of Medicine

Abstract Preview: Purpose: Radiomics extracts quantitative imaging biomarkers from medical images. However, maintaining the reproducibility and stability of selected features across institutions and parameter settings ...

Image-Guided Adaptive Proton Therapy for Head and Neck Cancer Using a Novel Gantry-Less System

Authors: Philip Blumenfeld, Jon Feldman, Yair Hillman, Michael Marash, Aron Popovtzer, Alexander Pryanichnikov, Shimshon Winograd, Marc Wygoda, Vered Zivan

Affiliation: Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), P-Cure Ltd./Inc., Sharett Institute of Oncology, Hadassah Medical Center, Hebrew University of Jerusalem

Abstract Preview: Purpose:
Image-guided adaptive proton therapy (IGAPT) allows tailored dose adjustments to account for anatomical and physiological changes during treatment. Recent efforts have developed a cost-eff...

Improved SNR and Estimation Accuracy for Deuterium-MRI Acquired with Chemical Shift Imaging at 7 Tesla

Authors: Muhammed AR Anjum, Andrew J. Fagan

Affiliation: Mayo Clinic

Abstract Preview: Purpose:
This study describes a novel post-processing method to boost image SNR for deuterium-MRI acquired using chemical shift imaging (CSI) at 7T. Deuterium MRI via exogenous administration of a ...

Improving Head and Neck Radiotherapy Accuracy through Real-Time Volumetric Imaging Using a Kalman Filter Approach

Authors: Youssef Ben Bouchta, Chen Cheng, Owen Thomas Dillon, Mark Gardner, Paul J. Keall, Purnima Sundaresan

Affiliation: Radiation Oncology Network, Western Sydney Local Health District, Image X Institute, Faculty of Medicine and Health, The University of Sydney

Abstract Preview: Purpose: There are three clinical motivations for real time IGRT in head and neck cancer radiation therapy: (1)50% of patients experience anxiety from the patient mask (2)patient motion still occurs d...

Improving Mammography Diagnosis Accuracy through Global Context and Local Lesion Integration

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...

Improving Post-SRS Brain Metastasis Radionecrosis Diagnosis Accuracy Via Deep Feature Space Analysis

Authors: Evan Calabrese, Scott R. Floyd, Kyle J. Lafata, Zachary J. Reitman, Eugene Vaios, Chunhao Wang, Lana Wang, Deshan Yang, Zhenyu Yang, Jingtong Zhao

Affiliation: Duke University, Department of Radiation Oncology, Duke University, Duke Kunshan University

Abstract Preview: Purpose:
This study proposes a novel neural ordinary differential equation (NODE) framework to distinguish post-SRS radionecrosis from recurrence in brain metastases (BMs). By integrating imaging f...

Incorporating Physicians’ Contouring Style into Auto-Segmentation of Clinical Target Volume for Post-Operative Prostate Cancer Radiotherapy Using a Language Encoder

Authors: Steve B. Jiang, Chien-Yi Liao, Dan Nguyen, Daniel Yang, Hengrui Zhao

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose:
Post-operative radiotherapy for prostate cancer requires precise contouring of the clinical target volume (CTV) to account for microscopic disease that is invisible in the image. However, ...

Innovative Biological Adaptive Radiotherapy (BART) Approach for Head-and-Neck Cancer Treatment Interruptions

Authors: Nobuki Imano, Daisuke Kawahara, Akito S Koganezawa, Yuji Murakami, Ikuno Nishibuchi, Takuya Wada

Affiliation: Department of Information and Electronic Engineering, Faculty of Science and Engineering, Teikyo University, Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University

Abstract Preview: Purpose: Adaptive radiotherapy (ART) compensates for treatment plans based on anatomical changes while not considering biological effects such as interruptions during treatment. This study aims to dev...

Investigating Gammatile Migration: Implications for Dosimetry and Clinical Outcomes

Authors: Wesley A. Belcher, Robert A. Corns, Jae Won Jung, Matthew S Peach, Swarup Sharma

Affiliation: The University of North Carolina at Chapel Hill, East Carolina University Brody School of Medicine

Abstract Preview: Purpose: GammaTiles are a novel intracranial brachytherapy approach designed to directly deliver radiation therapy to residual or recurrent brain tumors following resection. Despite their promising th...

Joint Optimization of Patient-Specific Range Modulators and Beam Intensities for Conformal Flash Proton Therapy

Authors: Hao Gao, Jiayue Han, Wangyao Li, Yuting Lin, Jufri Setianegara, Aoxiang Wang, Yanan Zhu

Affiliation: Department of Biomedical Engineering, Huazhong University of Science and Technology, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Proton therapy leverages Bragg-peak-based dose delivery to achieve ultra-high-dose-rate FLASH with patient-specific range modulators (PSRM). Current proton FLASH (pFLASH) planning typically i...

Large Language Model-Driven Agentic System for Collaborative Decision-Making in Radiotherapy Treatment Planning

Authors: Yang Sheng, Qingrong Jackie Wu, Qiuwen Wu, Xin Wu, Dongrong Yang

Affiliation: Duke University Medical Center

Abstract Preview: Purpose:
This study aims to leverage large language model (LLMs) to develop a human-in-the-loop agentic framework, enhancing the efficiency of treatment planning in radiotherapy.
Methods:
A L...

Leveraging Codex-Based Spatial Profiling of the Tumor Microenvironment in Concurrent Radiation Therapy and Immunotherapy

Authors: Todd A Aguilera, Bassel Dawod, Sebastian Diegeler, Eslam Elghonaimy, Purva Gopal, Jiaqi Liu, Hao Peng, Arely Perez Rodriguez, Nina N. Sanford, Robert Timmerman, Megan B Wachsmann, Haozhao Zhang

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center

Abstract Preview: Purpose: This study pioneers the integration of CODEX (co-detection by indexing)-based spatial profiling and advanced computational techniques to investigate the tumor immune microenvironment (TIME) i...

Liver Tumor Auto-Contouring Using Recurrent Neural Networks on MRI-Linac for Adaptive Radiation Therapy

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...

Longitudinal Assessment of Normal Lung Radiosensitivity to Individualize Reirradiation

Authors: Smith Apisarnthanarax, Clemens Grassberger, John Kang, Yejin Kim, Justin Leu, Dominic A. Maes, Matthew J. Nyflot, Ramesh Rengan, Annemarie Shepherd, Jing Zeng

Affiliation: Department of Radiation Oncology, University of Washington and Fred Hutchinson Cancer Center, Department of Radiation Oncology, University of Washington, University of Washington, Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington, University of Washington and Fred Hutchinson Cancer Center

Abstract Preview: Purpose: Reirradiation (ReRT) is a rapidly growing clinical challenge driven by better systemic therapy and longer survival, though clear guidelines for ReRT are lacking. Fitting traditional normal ti...

Memory-Efficient Deep Learning for Volumetric Cone-Beam CT Image Reconstruction

Authors: Ziqi Gao, Lei Xing, Siqi Ye, S. Kevin Zhou

Affiliation: Department of Radiation Oncology, Stanford University, University of Science and Technology of China (USTC)

Abstract Preview: Purpose: To address the challenge of high memory usage in volumetric cone-beam CT (CBCT) imaging, we propose a method that combines joint reconstruction and super-resolution for sparsely sampled CBCT ...

Mitigating Data-Driven Uncertainty in Machine Learning-Based Radiotherapy Outcome Prediction

Authors: Ali Ajdari, Alice Bondi, Thomas R. Bortfeld, Gregory Buti, Xinru Chen, Zhongxing Liao, Antony John Lomax, Ting Xu

Affiliation: The University of Texas MD Anderson Cancer Center, Department Of Radiation Oncology, Massachusetts General Hospital (MGH), Massachusetts General Hospital & Harvard Medical School, Paul Scherrer Institut, ETH Zurich

Abstract Preview: Title: Addressing Imaging and Biomarker-driven Uncertainty in Machine Learning-based Radiotherapy Outcome Prediction
Alice Bondi, Gregory Buti, Antony Lomax, Thomas Bortfeld, Xinru Chen, Ting Xu, Z...

Multi-Criteria Optimization in Medical Physics Resource Allocation: Design of an Efficient and Equitable Scheduling System

Authors: Dalton Griner, Kathryn L. Kolsky, Joseph John Lucido, Andrew J. Veres

Affiliation: Mayo Clinic

Abstract Preview: Purpose: This project aimed to automate a complex and time-consuming employee scheduling process. By replacing the traditional manual method with a multi-criteria optimization-based system (MCO), the ...

Multi-Region Multiomic Features Improve Random Forest Toxicity Modeling of Radiation Pneumonitis

Authors: Laurence Edward Court, Alexandra Olivia Leone, Zhongxing Liao, Saurabh Shashikumar Nair, Joshua S. Niedzielski, Ramon Maurilio Salazar, Ting Xu

Affiliation: The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center

Abstract Preview: Purpose: Radiation Pneumonitis (RP) predictive models often rely on clinical and DVH parameters, but multiomic features from CT imaging and 3D dose distributions from various regions could provide add...

Novel Approach to Improve Treatment Planning Process for Mixed Fractionation Schemes on ZAP-X

Authors: Michael Evan Chaga, Timothy Chen, Darra M. Conti, Shabbar Danish, Jing Feng, Wenzheng Feng, Joseph Hanley, Tingyu Wang

Affiliation: Hackensack Meridian Health, Jersey Shore University Medical Center

Abstract Preview: Purpose: Using mixed fractionation schemes is a common technique in treating CNS lesions. This article describes an innovative plan-and-split approach for more efficient planning on the ZAP-X and thus...

Oncoflat: Automated 3D-to-2D Bolus Unfolding Tool for Radiation Therapy

Authors: Jeonghoon Park, Amritha Praveen, Siddhant Sen, James J. Sohn, Ethan D. Stolen

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Department of Radiation & Cellular Oncology, University of Chicago, Department of Radiation and Cellular Oncology, The University of Chicago, Department of Radiation and Cellular Oncology, University of Chicago, Department of Psychology, University of Illinois Urbana-Champaign

Abstract Preview: Purpose: Accurate fabrication of custom boluses is essential in radiation therapy to enhance dose delivery to superficial tumors, especially in anatomically complex regions. This study introduces a no...

Optimizing Design to Enhance the Energy Separation in a Kv Dual-Layer Imager (DLI)

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 Women’s 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...

Performance of Photon Counting Detector in a Clinical PCD-CT: A Novel Image-Based Evaluation

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...

Personalized Radiotherapy: A Novel Approach to Multi-Criteria Optimization with Patient-Specific Risk Integration

Authors: Ali Ajdari, Thomas R. Bortfeld, Zhongxing Liao, Mara Schubert, Katrin Teichert

Affiliation: The University of Texas MD Anderson Cancer Center, Department Of Radiation Oncology, Massachusetts General Hospital (MGH), Massachusetts General Hospital & Harvard Medical School, Fraunhofer ITWM

Abstract Preview: Purpose: Radiotherapy (RT) treatment planning often involves solving a multi-criteria optimization (MCO) problem. Conventionally, MCO considers a set of generic (population-wide) dosimetric criteria, ...

Plastic Scintillating Detector Assisted Spot Mapping for Patient Specific Quality Assurance in Proton Beam Therapy

Authors: Saad Bin Saeed Ahmed, Marcos Feijoo, Wazir Muhammad, Charles Shang, Naseem Ud Din

Affiliation: South Florida Proton Therapy Institute, Miami Cancer Institute, Blue Physics LLC, Florida Atlantic University

Abstract Preview: Purpose: This study introduces a novel approach for patient-specific quality assurance in proton beam therapy, utilizing new plastic scintillator detectors with high temporal resolutions to create det...

Portpy: An Open-Source Python Package to Accelerate Research in Radiotherapy Treatment Planning Optimization

Authors: Qijie Huang, Gourav Jhanwar, Saad Nadeem, Vicki Trier Taasti, Mojtaba Tefagh, Seppo Tuomaala, Masoud Zarepisheh

Affiliation: Varian Medical Systems Inc, Department of Clinical Medicine - Danish Center for Particle Therapy, Aarhus University Hospital, Memorial Sloan Kettering Cancer Center, The University of Edinburgh

Abstract Preview: Purpose:
We have developed PortPy (Planning and Optimization for Radiation Therapy in Python), a first-of-its-kind open-source package designed to accelerate research and development in radiotherap...

Prospective Hazard Analysis in Radiation Therapy – a Systematic Review

Authors: Jeremy T. Booth, Sonja Dieterich, Jonathan Hindmarsh, Paul J. Keall

Affiliation: Northern Sydney Cancer Centre, Royal North Shore Hospital, UC Davis Medical Center, Image X Institute, Faculty of Medicine and Health, The University of Sydney

Abstract Preview: Purpose: Prospective hazard analysis (PHA) is a core medical physics function. PHA was investigated by AAPM Task Group 100 for the purpose of keeping patients safe and assessing the risks of novel tec...

Radiodynamic Therapy: Inhibiting Metastases of Small Cell Lung Cancer In Vivo

Authors: Lili Chen, Andy T. Clark, Dusica Cvetkovic, Chang Ming Charlie Ma, Dae-Myoung Yang

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose: Radiodynamic therapy (RDT) shows promise as a strategy to inhibit the metastasis of premetastatic small cell lung cancer (SCLC). This study evaluates the therapeutic effect of RDT in inhibiti...

Reconstructing Radiopharmaceutical Distributions Using Coded Aperture Tomography with Photon Counting Detector

Authors: David P. Adam, Xun Jia, Youfang Lai, Yuncheng Zhong

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Johns Hopkins University

Abstract Preview: Purpose: Radiopharmaceutical therapy is experiencing a resurgence in interest due to its potential of treating widespread metastatic disease in a patient-specific manner. Accurately measuring and desc...

Redefining the Down-Sampling Scheme of U-Net for Precision Biomedical Image Segmentation

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...

Safety of Off-Axis Treatment for Selection of Optimal Beam Angles in SBRT of the Posteriorly Located Lung Lesions

Authors: Reza Farjam, Russell K Hales, Todd R. McNutt, Mohammad Rezaee, Ehsan Tajikmansoury, K. Ranh Voong

Affiliation: Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Johns Hopkins University

Abstract Preview: Purpose: Optimal beam angles and off-axis isocenter selection are important to achieve high quality plan and collision-free delivery in stereotactic body radiotherapy (SBRT) of the posteriorly located...

Scissor-Beam Based Carbon Ion Minibeam Treatment Planning Method

Authors: Hao Gao, Qiang Li, Yuting Lin, Wei Wang, Wei Wu, Weijie Zhang

Affiliation: Institute of Modern Physics, Chinese Academy of Sciences, China, Department of Radiation Oncology, University of Kansas Medical Center

Abstract Preview: Purpose: Carbon minibeam radiation therapy (cMBRT) offers high peak-to-valley dose ratio (PVDR) and relative biological effectiveness. A key challenge is balancing uniform target coverage with PVDR pr...

Spatially Informed Auto-Segmentation of Cardiac Nodes for Radiotherapy Treatment Planning

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...

Spherical Slicing and Convolutions for Accurate Glioma Tumor Segmentation Using Multi-Parametric MRI

Authors: Ke Lu, Chunhao Wang, Ruoxu Xia, Zhenyu Yang, Fang-Fang Yin, Chulong Zhang, Lei Zhang, Rihui Zhang, Jingtong Zhao, Haiming Zhu

Affiliation: Duke University, Duke Kunshan University, Medical Physics Graduate Program, Duke Kunshan University, The First People's Hospital of Kunshan

Abstract Preview: Purpose: The human brain’s spherical geometry offers unique opportunities for improving the segmentation of tiny and irregular anatomical structures. We hypothesize that representing the brain in sphe...

Text-Conditioned Latent Diffusion Model for Synthesis of Contrast-Enhanced CT from Non-Contrast CT

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...

The Effect of 2D Antiscatter Grid-Based CBCT on Tissue Visualization in the Prostate Region: An Observer Study on Tissue Delineation Accuracy

Authors: Cem Altunbas, Adam Avant, Farhang Bayat, Roy Bliley, Ian Boor, Brian Kavanagh, Uttam Pyakurel, Tyler Robin, Ryan Sabounchi

Affiliation: Department of Radiation Oncology, University of Colorado School of Medicine, Taussig Cancer Center, Cleveland Clinic

Abstract Preview: Purpose: Improved soft tissue visualization plays an important role in target localization and treatment plan adaptation in CBCT-guided radiotherapy. In this work, a novel CBCT approach, 2D antiscatte...

Time-Resolved CBCT: A Novel Solution for Motion Management

Authors: Bulent Aydogan, Xiaochuan Pan, Erik Pearson, Zheng Zhang

Affiliation: The University of Chicago

Abstract Preview: Purpose: Motion management remains one of the significant challenges in external beam radiation therapy (RT). We are developing time-resolved cone-beam computed tomography (trCBCT) for imaging during ...

Toward Harmonized AI-Based Quantitative CT: A Voxel-Printed, Patient Specific Phantom for Cross-Platform Harmonization

Authors: Aditya P. Apte, Joseph O. Deasy, Yusuf Emre Erdi, Anqi Fu, Johannes Hertrich, Andrew Jackson, Usman Mahmood, Jason Ocana, Trahan Sean, Amita Shukla-Dave

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center

Abstract Preview: Purpose: Automated AI-based quantitative CT tools hold immense promise for advancing clinical decision-making, yet their reproducibility and generalizability remain vulnerable to variability in imagin...

Towards Achieving Quantitative Attenuation Values in CT with Energy-Integrated and Photon-Counting Detectors

Authors: Zijia Guo, Viktor Haase, Michael F. McNitt-Gray, Frederic Noo

Affiliation: Siemens Healthineers, University of Utah, David Geffen School of Medicine at UCLA

Abstract Preview: Purpose: The attenuation values in CT hold strong potential for disease diagnosis. However, they lack reliability, which has limited their use to clinical trials where variability can be controlled. S...

Ultrafast Proton Delivery with Pin Ridge Filters (pRFs): A Novel Approach for Motion Management in Proton Therapy

Authors: Zachary Diamond, Pretesh Patel, Sibo Tian, Yinan Wang, Xiaofeng Yang, David Yu, Ahmal Jawad Zafar, Jun Zhou

Affiliation: Emory University, Department of Radiation Oncology and Winship Cancer Institute, Emory University

Abstract Preview: Purpose: Active breath-hold techniques effectively mitigate respiratory motion but poses challenges for patients who are unable to tolerate the procedure. Conventional planning relies on multiple ener...

Universal Anatomical Mapping and Patient-Specific Prior Implicit Neural Representation for MRI Super-Resolution

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...

Universal Range Modulators for Flash Proton Therapy: 3D Printing of Stackable Variable Density Units

Authors: Eric S. Diffenderfer, Lei Dong, Alejandro Garcia, Wenbo Gu, Michele M. Kim, Alexander Lin, Kai Mei, Peter B. Noël, Boon-Keng Kevin Teo, Lingshu Yin, Jennifer Wei Zou

Affiliation: Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania

Abstract Preview: Purpose: We present a novel 3D-printed range-modulating devices with spatially modulated density for FLASH particle therapy. By varying density distributions, spread-out Bragg peaks(SOBPs) can be gene...

Using Contrast-Enhanced Computed Tomography for Non-Invasive Lung Shunt Fraction Prediction in Yttrium-90 Radioembolization

Authors: Roger Eric Goldman, Adrianna Imani Johnson Carter, Talia Marx, Brahim Mehadji, Emilie Roncali, Catherine T. Vu

Affiliation: UC Davis, Department of Radiology, UC Davis Health

Abstract Preview: Purpose:
Accurate estimation of the Lung Shunt Fraction (LSF) is critical for yttrium-90 (90Y) radioembolization treatment planning to minimize risks of excessive lung irradiation due to arterio-ve...

Using Single-Energy Bragg Peak (SEBP) Flash Combined with Intensity-Modulated Proton Therapy (IMPT) for Flash Treatment in a Clinical Synchrotron-Based Proton System

Authors: Chingyun Cheng, Ben Durkee, Carri K. Glide-Hurst, Minglei Kang, Haibo Lin, Bhudatt R. Paliwal, Charles B. Simone, Zhizhen Wei, Tengda Zhang, Xingyi Zhao

Affiliation: University of Wisconsin, Department of Mechanical Engineering, University of Wisconsin-Madison, Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, New York Proton Center, Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: Transmission Beam (TB), Single-Energy Bragg Peak (SEBP), and Single-Energy Spread-Out Bragg Peak (SESOBP) are primary proton conformal FLASH techniques. However, each comes with significant l...

Validating a Pre-Existing CT HU-to-Mass Density Curve for Direct Dose Calculation on High Quality Cbcts

Authors: Casey E. Bojechko, Tricia Chinnery, Grace Gwe-Ya Kim, Xenia Ray

Affiliation: University of California San Diego

Abstract Preview: Purpose: To evaluate the use of a calibration curve generated from the CT simulator for direct dose calculation on cone beam computed tomography (CBCT) images taken with the on-board imaging system. T...

Validation of 3D Pseudo-Dose Map Reconstructed from Multi-View Cherenkov Images in Total Skin Electron Therapy

Authors: Brook Byrd, Lisha Chen, Michael LaRiviere, Baozhu Lu, John Plastaras, Brian W Pogue, Emily Xiong, Timothy C. Zhu, Yifeng Zhu

Affiliation: Department of Radiation Oncology, University of Pennsylvania, University of Pennsylvania, University of Wisconsin - Madison

Abstract Preview: Purpose: For total skin electron therapy (TSET), achieving optimal dose distribution depends on precise patient positioning, which is often influenced by daily variability. Cherenkov imaging offers a ...