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Results for "online art": 36 found

A Comparison of Non-Adaptive Versus Online Adaptive Radiotherapy for Prostate Cancer Using FLOW-RT-- Fast, AI-Driven but Learning-Enabled, Online Adaptive Workflow for Radiotherapy

Authors: Theodore Higgins Arsenault, Kenneth W. Gregg, Beatriz Guevara, Lauren E Henke, Angela Jia, Rojano Kashani, Kyle O'Carroll, Alex T. Price, Adithya Reddy, Atefeh Rezaei, Daniel E Spratt, Runyon C. Woods

Affiliation: University Hospitals Seidman Cancer Center

Abstract Preview: Purpose: To evaluate the effect of unedited AI-generated contours used for online adaptive radiotherapy (FLOW-ART) on the plan quality of prostate treatments as compared to non-adaptive (non-ART) proc...

A Deep Learning-Based Approach for Rapid Prediction of IMRT/VMAT Patient-Specific Quality Assurance for Online Adaptive Plans Generated with a 0.35T MR-Linac

Authors: Suman Gautam, Tianjun Ma, William Song

Affiliation: Virginia Commonwealth University

Abstract Preview: Purpose: We propose an artificial intelligence (AI)-based method to rapidly predict the patient-specific quality assurance (PSQA) results for magnetic resonance (MR)-guided online adaptive radiation th...

An Adaptive Radiotherapy Strategy Study Based on Segmented Synthesis and Deformational Registration

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 People’s 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, Peopleʼs 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...

Artificial Intelligence (AI)-Driven Automatic Contour Quality Assurance (QA) with Uncertainty Quantification

Authors: Steve B. Jiang, Dan Nguyen, Chenyang Shen, Fan-Chi F. Su, Jiacheng Xie, Shunyu Yan, Daniel Yang, Ying 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) Lab & 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 delineation of treatment targets and organs-at-risk is crucial for radiotherapy. Despite significant progress in artificial intelligence (AI)-based automatic segmentation tools, effi...

Automated Decision Workflow Using Fast Monte Carlo Dose Calculations for Daily Adaptive Proton Therapy

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 ...

Can AI Agent be a Good Judge for Online Adaptive Radiotherapy Plan Evaluation?

Authors: Steve B. Jiang, Mu-Han Lin, Dan Nguyen, Beiqian Qi, Daniel Yang, Ying 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

Abstract Preview: Purpose:
Online adaptive radiotherapy (oART) is a resource-intensive workflow requiring significant time and effort required from clinicians, particularly for the online evaluation of plan quality....

Characterizing the Stability of Upright CT for Proton Therapy

Authors: Brian Burger, Carri K. Glide-Hurst, John W. Hayes, Carson Hoffman, Minglei Kang, Jessica R. Miller, Jordan M. Slagowski, Yuhao Yan

Affiliation: Department of Human Oncology, University of Wisconsin-Madison, Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, Leo Cancer Care

Abstract Preview: Purpose: The combination of upright CT and patient positioner for particle therapy present tremendous potential for high precision IGRT and online adaptive radiation therapy (ART), where reliable CT p...

Development of a Fast Quality Assurance Software Tool for Helical Online Adaptive Radiation Therapy

Authors: Guang-Pei Chen, Mi Huang, Haidy G. Nasief, Eric S. Paulson

Affiliation: Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: Recently, kV imaging has been integrated into the Accuray Radixact platform, facilitating online adaptive and scan-plan-treat workflows with helical delivery in the near future. In order to s...

Development of a Novel Deformable Pelvis Phantom to Support Upright Applications

Authors: Adam P. Berdusco, Matthew R. Ceelen, Renata Farrell, Carri K. Glide-Hurst, Will Martin, Charles F. Maysack-Landry, Morgan A. McGauley, James Rice, Jordan M. Slagowski, Yuhao Yan

Affiliation: Departments of Human Oncology and Medical Physics, University of Wisconsin-Madison, University of Wisconsin - Madison, Department of Human Oncology, University of Wisconsin-Madison

Abstract Preview: Purpose: Upright radiotherapy (RT) is now available although this novel vertical CT and positioner presents unique challenges for quality assurance and testing methodologies. We have designed and buil...

Direct-to-Unit Dose Calculations for Stereotactic Radiosurgery on a C-Arm Linac with Modern on-Board Imaging Solutions

Authors: Theodore Higgins Arsenault, Kenneth W. Gregg, Lauren E Henke, Rojano Kashani, Haley K Perlow, Alex T. Price, Atefeh Rezaei, Prashant Vempati, Runyon C. Woods

Affiliation: University Hospitals Seidman Cancer Center

Abstract Preview: Purpose: The HyperSight imaging feature on C-arm linacs(HS-CBCT) offers increased CT number accuracy over conventional on-board imaging. The C-arm geometry allows for noncoplanar treatments common to ...

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 Denoising of Low-Statistic Influence Matrices Using a Diffusion Transformer-Based Framework for Adaptive Proton Therapy

Authors: Yuzhen Ding, Hongying Feng, Jason Michael Holmes, Baoxin Li, Wei Liu, Daniel Ma, Lisa McGee, Samir H. Patel, Jean Claude M. Rwigema, Sujay A. Vora

Affiliation: Arizona State University, Department of Radiation Oncology, Mayo Clinic, Mayo Clinic Arizona, Mayo Clinic

Abstract Preview: Purpose:
Intensity-modulated proton therapy (IMPT) is a preferred treatment modality for head and neck (H&N) cancer patients, offering precise tumor targeting while sparing surrounding organs at ri...

Efficient FAST-Forward Planning Strategy for X-Ray Based Online Adaptive Radiotherapy

Authors: Prasanna Alluri, Mona Arbab, Xingzhe Li, Chang-Shiun Lin, Mu-han Lin, David D.M. Parsons, Asal Rahimi, Justin D. Visak, Narine Wandrey

Affiliation: UT Southwestern Medical Center, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX

Abstract Preview: Purpose: Intelligence-Optimization-Engine (IOE) v1.0 relied heavily on planner expertise and patient-specific IMRT beam arrangements, requiring frequent revisions. While VMAT workflows offered potenti...

Enhancing Adaptive Radiotherapy Segmentation with a 3D Unet Framework and Prior Fraction Information

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 ...

Evaluating Necessity of Patient-Specific Deep Learning-Based Auto-Segmentation for Improved Adaptation for Abdominal Tumors

Authors: Asma Amjad, Renae Conlin, Eric S. Paulson, Christina M. Sarosiek

Affiliation: Department of Radiation Oncology, Medical College of Wisconsin

Abstract Preview: Purpose: In an effort to improve contouring accuracy for abdominal MR guided online adaptive radiotherapy (MRgOART), patient-specific deep learning-based auto-segmentation (PS-DLAS) has been proposed....

Evaluating the Capabilities of Hypersight CBCT for Advanced Dual-Energy CBCT Imaging in Online Adaptive Radiotherapy

Authors: Yi-Fang Wang, Yading Yuan

Affiliation: Columbia University Irving Medical Center, Department of Radiation Oncology, Columbia University Irving Medical Center

Abstract Preview: Purpose: HyperSight, the latest CBCT technology from Varian Medical Systems, integrates rapid 6-second data acquisition with advanced iterative reconstruction and upgraded hardware. Previous studies h...

FMEA for Direct to Unit Adaptive Radiotherapy

Authors: Haleem Azmy, Robbie Beckert, Farnoush Forghani, Dean Hobbis, Dan Hong, Hyun Kim, Eric Laugeman, Silpa Raju-Salicki, Domenic Sievert

Affiliation: Washington University in St. Louis School of Medicine, WashU Medicine, Washington University School of Medicine, Department of Radiation Oncology, Washington University School of Medicine in St. Louis, Washington University School of Medicine, Wash U Medicine, Washington University in St. Louis

Abstract Preview: Purpose: A novel radiation therapy (RT) workflow has recently emerged with the advent of online adaptive RT systems, direct-to-unit (DTU). DTU utilizes online adaptive platforms (MR and CT based) to o...

Fast Synthetic-CT-Free Dose Calculation in MR Guided RT

Authors: Claus Belka, Stefanie Corradini, George Dedes, Nikolaos Delopoulos, Christopher Kurz, Guillaume Landry, Ahmad Neishabouri, Domagoj Radonic, Adrian Thummerer, Niklas Wahl, Fan Xiao

Affiliation: Department of Radiation Oncology, LMU University Hospital, LMU Munich, Department of Medical Physics, LMU Munich, Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), National Center for Radiation Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO)

Abstract Preview: Purpose: In MR-guided online adaptive radiotherapy, MRI lacks tissue attenuation information necessary for accurate dose calculations. Instead of using deep learning methods to generate synthetic CT i...

Feasibility Study of Ethos Artificial-Intelligence Online Adaptive Prostate SBRT

Authors: Miguel Albaladejo, Ana Corbalan, Aitor Ortega, Vicente Puchades, David Ramos, Alfredo Serna-Berna, Jonattan Suarez

Affiliation: Hospital General Universitario Santa Lucia

Abstract Preview: Purpose:
Prostate SBRT treatments are frequently delivered using standard VMAT IGRT technique. The aim of this study is to test the feasibility of Ethos Artificial Intelligence (AI) prostate SBRT b...

Feasibility of X-Ray Based Online Adaptive Dynamic Optimization with Integrated Knowledge-Based Planning for Head and Neck Cancer

Authors: Jacob S. Buatti, Mu-Han Lin, Dominic Moon, David D.M. Parsons, David Sher, Justin D. Visak, Hui Ju Wang

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, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX

Abstract Preview: Purpose: Most current adaptive treatment planning systems (TPS) natively utilize static planning goals from the reference plan for online adaptive re-optimization. In complex head-and-neck cancer (HNC...

High-Fidelity Treatment Optimization for Online Adaptive Stereotactic Partial Breast Irradiation: Integrating Dose and Treatment Time Considerations

Authors: Drexell Hunter Boggs, Carlos E. Cardenas, Jingwei Duan, Joseph Harms, Joel A. Pogue, Richard A. Popple, Courtney Bosse Stanley, Dennis N. Stanley, Sean Xavier Sullivan, Natalie N. Viscariello

Affiliation: Washington University in St. Louis, The University of Alabama at Birmingham, University of Alabama at Birmingham

Abstract Preview: Purpose: CBCT-guided online adaptive radiation therapy (OART) with Ethos for stereotactic accelerated partial breast irradiation (APBI) can mitigate inter-fraction variation, leading to dosimetric adv...

Inter-Patient Adaptive Radiotherapy (IPART): A CT Simulation and Planning Free Approach Enabling Immediate Treatment Access for Patients.

Authors: Bin Cai, Andrew R. Godley, Brian A. Hrycushko, Heejung Kim, Mu-han Lin, David D.M. Parsons, Justin D. Visak, Da Wang, Tingliang Zhuang

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, 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, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: The standard radiation therapy workflow requires CT-simulation and planning, whether for initial treatments or re-planning due to significant anatomical changes. IPART instead uses one patien...

Investigating the Dosimetric Impact of Margin Reduction for Head and Neck Sequential Boost Treatments with Online Adaptive Radiotherapy

Authors: Jimmy Caudell, Eduardo G. Moros, Nour Nasser, Gage H. Redler, George Yang

Affiliation: Moffitt Cancer Center

Abstract Preview: Purpose: Dosimetric evaluation of PTV margin reduction for Head and Neck(H&N) sequential boost plans using the Ethos online adaptive radiotherapy(oART) system to investigate the tradeoff in decreased ...

Large Scale Deployment of a Tailored and Hybrid Educational Strategy for Wartime Capacity Building: Aapm/HUG/Uamp Initiative to Transition Ukraine from Co-60 to IMRT through a Comprehensive Medical Physics Training Program

Authors: Victoria Susan Ainsworth, Stephen M. Avery, Serhii Brovchuk, Thomas Brown, Sean A. Dresser, Matthew D. Goss, Viktor M. Iakovenko, Kelly Kisling, Nataliya Kovalchuk, Robert F. Krauss, Wilfred F. Ngwa, Jatinder R. Palta, Julie A. Raffi, Peter Allan Sandwall, Natalka Suchowerska, William Swanson, Shada J. Wadi-Ramahi, Ruslan Zelinskyi

Affiliation: Allegheny Hospital, Johns Hopkins University, Virginia Commonwealth University, Stanford University, O.O. Shalimov National Institute of Surgery and Transplantology, Department of Radiation Oncology, UT Southwestern Medical Center, School of Physics, The University of Sydney, MaineHealth, University of California, San Diego, Duke University, Emory University, University of Pennsylvania, University of Pittsburgh Medical Center, Medical Physics Department, Medical center of Yuriy Spizhenko, OhioHealth, University of Massachusetts Lowell, St. Francis Hospital

Abstract Preview: Purpose: The AAPM International Council, in collaboration with Help Ukraine Group (HUG) and Ukrainian Association of Medical Physicists (UAMP), developed a novel hybrid year-long training course to as...

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...

Novel Fast Cone-Beam CT for Adaptive Radiotherapy: Assessment of Image Distortion, Auto-Contouring, and Dose Delivery Accuracy in the Presence of Periodic Subject Motion

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...

Personalized Anisotropic Margin Strategy for Cervical Cancer Online Adaptive Radiation Therapy

Authors: Jian Chen, Qiufen Guo, Aihua Li, Jing Liu, Junjie MA, Qian WU, Haonan Xiao, Peng Xie, Xiaohui Yan, Yong Yin, Zhe Zhang

Affiliation: Department of Radiation Oncology, Peking University Shenzhen Hospital, Department of Radiation Oncology and Physics, Shandong Cancer Hospital and Institute, Shandong First Medical University and 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, Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Department of Obstetrics and Gynaecology, Liao Cheng People’s Hospital

Abstract Preview: Purpose: Online Adaptive radiation therapy (ART) has been an effective technique to manage patient’s inter-fractional anatomical changes and therefore reduces planning target volume (PTV). However, on...

Phase One Randomized Two-Arm Dose Escalation of Flash RT in Veterinary Canine Osteosarcoma: Trial Design & Initial Results

Authors: Wesley S. Culberson, Aleksandra Ilina, Brian W Pogue, Matthew Reed, Connor Strainis, William Scott Thomas, Nathaniel Van Asselt, Albert van der Kogel

Affiliation: University of Wisconsin: Madison, University of Wisconsin: Madison School of Veterinary Medicine, Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Department of Human Oncology, University of Wisconsin–Madison, University of Wisconsin-Madison, University of Wisconsin - Madison

Abstract Preview: Purpose: FLASH radiotherapy reduces skin damage in vivo from ultra-high dose rate (UHDR) irradiation relative to conventional dose rates (CDR), while preserving damage to tumor tissue. The FLASH effec...

Preliminary Clinical Experience with MRI-Guided Online Adaptive Radiotherapy for Esophageal Cancer Patients

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...

Proactive Quality Assurance for Adaptive Radiotherapy: Real-Time Mlc Verification with Myqa SRS

Authors: James L. Giltz, Michael J. Merrick

Affiliation: Alyzen Medical Physics, University of Kentucky

Abstract Preview: Purpose: To evaluate the capability of MyQA SRS in performing high-resolution machine QA to verify multileaf collimator (MLC) behavior and integrity for adaptive radiotherapy (ART). This study demonst...

Real-Time 3D Dose Verification for MR-Guided Online Adaptive Radiotherapy (ART) Via Geometry-Encoded Deep Learning Framework

Authors: Steve B. Jiang, Dan Nguyen, Chenyang Shen, Fan-Chi F. Su, Jiacheng Xie, Shunyu Yan, Daniel Yang, Ying 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) Lab & 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: Fast dose verification is essential for the safety and efficiency of MR-guided adaptive radiotherapy (ART) as patients anxiously waiting on the treatment couch. Conventional tools often requi...

Shape-Optimized Radiation-Induced Acoustic Computed Tomography for In Vivo online Monitoring of Radiation Therapy

Authors: Yong Chen, Gilberto Gonzalez, Omprakash Gottam, Liangzhong Xiang

Affiliation: University of California, Irvine, Koneru Lakshmaiah Education Foundation, University of Texas at San Antonio., University of Oklahoma Health Science Center

Abstract Preview: Purpose: Clinics currently lack techniques for real-time, in vivo monitoring of radiation therapy (RT), which is desirable for precise treatment. Radiation-induced acoustic computed tomography (RACT) ...

Strengthening the Pipeline to Careers in Medical Physics

Authors: Jessica Fagerstrom

Affiliation: University of Washington

Abstract Preview: Purpose:
To explore how interdisciplinary partnerships between physics educators and medical physicists can enhance student preparation for careers in medical physics by integrating applied medical...

Towards AI Decision-Support for Online Adaptive Radiotherapy (oART): A Preliminary Study on CBCT-Guided Post-Prostatectomy Oart

Authors: Michael Cummings, Olga M. Dona Lemus, Hana Mekdash, Tyler Moran, Alexander R Podgorsak, Sean M. Tanny, Matthew J. Webster, Lexiang Yang, Dandan Zheng, Yuwei Zhou, Xiaofeng Zhu

Affiliation: Department of Radiation Oncology, University of Rochester, University of Miami, Inova Schar Cancer Institute, University of Rochester

Abstract Preview: Purpose: oART is revolutionizing radiotherapy by allowing treatment plans to be adjusted based on daily imaging, improving targeting precision and potentially enhancing patient outcomes. However, its ...

Unlocking Adaptive Radiotherapy Flexibility: Integrating Ethos Adaptive Therapy and Halcyon IGRT with Scripting Innovations

Authors: Min Geon Choi, Sean J. Domal, Ruiqi Li, Taoran Li, Mu-Han Lin, Yang Kyun Park, David D.M. Parsons, Justin D. Visak

Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, UT Southwestern Medical Center, University of Texas Southwestern Medical Center, University of Pennsylvania, Department of Radiation Oncology, UT Southwestern Medical Center

Abstract Preview: Purpose: Ethos X-ray-guided online adaptive radiotherapy (ART) enables precise, daily adaptive treatments but requires significant resources, limiting widespread adoption. Many treatment sites do not ...

Validation of Synthetic CT-Based Online Monitoring for Adaptive Proton Therapy

Authors: Ozgur Ates, Chin-Cheng Chen, Chia-Ho Hua, Matthew J. Krasin, Thomas E. Merchant

Affiliation: St. Jude Children's Research Hospital

Abstract Preview: Purpose: To validate the use of synthetic CTs generated from CBCT images for online monitoring, ensuring accurate and reliable daily plan quality assessments in adaptive proton therapy (APT).
Metho...