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| MO-GH-SAN2-2 | Automatic IMRT Planning Via Static Field Fluence Prediction (AIP-SFFP): A Deep Learning Method for Real-Time Prostate Treatment Planning X Li1*, J Zhang1 , Y Sheng1 , Y Chang1 , F Yin1 , Y Ge2 , Q Wu1 , C Wang1 , (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC |
| MO-GH-SAN2-7 | Tissue Compartment Based Kinetic Modeling Using Multiphoton Microscopy in Irradiated Mice and Mice Bearing Acute Lymphoblastic Leukemia J Brooks1,2*,D Zuro1,2, S Hui1,3, (1) Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA (2) Department of Radiation Oncology, University of Minnesota, Minneapolis, MN (3) Beckman Research Institute, Duarte, CA |
| MO-I345-GePD-F2-3 | Machine Learning Modeling of Beam Data of Multiple Linear Accelerators (LINACs) From Different Institutions and Its Practical Application in Fast and Robust LINAC Commissioning E Schueler*, W Zhao , I Patil , B Han , Y Yang , L Xing , Stanford Univ School of Medicine, Stanford, CA |
| MO-I345-GePD-F7-5 | Retaining Novel Cases to Improve Model Robustness in a Case Based Reasoning Workflow for Radiation Therapy Planning Y Sheng1*, J Zhang1 , C Wang1 , F Yin1 , Q Wu1 , Y Ge2 , (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC |
| MO-J430-CAMPUS-F2-4 | Machine Learning Method to Automate Structure Name Mapping W Sleeman IV1,3*, J Nalluri1,3 , S Khajamoinuddin2 , P Ghosh2 , M Hagan1,3 , J Palta1,3 , R Kapoor1,3 , (1) Virginia Commonwealth University, Department of Radiation Oncology, Richmond, VA (2) Virginia Commonwealth University, Department of Computer Science, Richmond, VA (3) National Radiation Oncology Program, Department of Veteran Affairs, Richmond, VA |
| MO-J430-CAMPUS-F3-4 | Impact of Cardiac Substructure Dose for Modeling Radiation Toxicity in the Heart J Niedzielski*, X Wei , T Xu , D Gomez , Z Liao , J Bankson , S Lai , L Court , J Yang , University of Texas-MD Anderson Cancer Center, Houston, TX |
| PO-GePV-I-18 | Space-Variant Deconvolution of Cerenkov Light Images of a Curved Surface E Brost, Y Watanabe*, University of Minnesota, Minneapolis, MN |
| PO-GePV-P-72 | A Tissue Equivalent Bolus for Dose Optimization in Radiotherapy z xu1*, W Lu1 , J Qiu1 , L Jing2 , W Jiang3 ,h yu1 , K Hou1 ,L Shi1 , (1) Taishan Medical University, Taian, Shandong, (2) Taian tumor hospital, Taian, ,(3) Yantai Yuhuangding Hospital, Qingdao University School of Medicine |
| PO-GePV-T-44 | Physics of Cancer: Measurement and Modelling of Post-Radiotherapy Cell Migration to Assess Metastasis A Walther*, M Merrick , C Weeder , H Akhter , M Mimlitz , A Ekpenyong , Creighton University, Omaha, NE, USA. |
| PO-GePV-T-54 | Voxel-Level Analysis of Brain Imaging Changes in Nasopharynx Patients Treated with Proton Therapy D Mirkovic1*, GM Engeseth1,3 , P Yepes2 , R Mohan1 , S Frank1 , A Adair1,2 , Q Wang2 , B Gunn1 , (1) U.T M.D. Anderson Cancer Center, Houston, TX, (2) Rice University, Houston, TX, (3) Haukeland University Hospital, Bergen, Norway |
| PO-GePV-T-56 | Implementation of 3D Computational Human Phantoms in RayStation for Retrospective Studies in Late Effects A Gupta1*,Y Qiao1 , C Lee2 , C Ditty3, S Smith1 , R Weathers1 , S Shrestha1 , S Hernandez1 , R Howell1 , (1) UT MD Anderson Cancer Center, Houston, TX, (2) National Cancer Institute, Rockville, MD, (3) RaySearch Americas |
| PO-GePV-T-134 | Modeling Respiratory Motion Using Auto Regressive Integrated Moving Average X He1*, R Zhao2 , A Wang3 , X Li3 , T Liu4 , F Shi3 , J Chen1 , (1) Ruijin Hospital, Shanghai,(2) Shanghai Pulmonary Hospital,(3) Datu Medical, Shanghai, (4) Xi'an Jiaotong University, Xi'an |
| PO-GePV-T-175 | Evaluation of Independent RapidPlan Models Based On Laterality of Secondary Nodal Disease for Head and Neck Cancer L Taylor*, G Ezzell , E Silverstein , Mayo Clinic Arizona, Phoenix, AZ |
| PO-GePV-T-198 | Monte Carlo Modeling and Patient Dose Calculation Using DOSXYZnrc for the ELEKTA Versa HD with the Agility Collimator H Parenica1*, C Kabat1 , K Fischer1 , N Kirby1 , K Rasmussen1 , D Saenz1 , P Myers1 , P Mavroidis2 , N Papanikolaou1 , S Stathakis1 , (1) UT Health Science Center San Antonio, San Antonio, TX, (2) Univ North Carolina, Chapel Hill, NC |
| PO-GePV-T-225 | Quantitative Assessment of Head and Neck Treatment Plan Quality Using Organ Dose Prediction Models M Kolar1*, Z Ouyang1 , D LaHurd1 , T Cui2 , E Murray1 , N Joshi1 , J Greskovich1 , S Koyfman1 , P Xia1 , (1) Cleveland Clinic, Cleveland, OH, (2) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, |
| PO-GePV-T-228 | The Influence of Large Training Sets Created with the Eclipse Scripting API in Custom RapidPlan Models J Rogers*, M DiMascio , Atrium Health, Rock Hill, SC |
| PO-GePV-T-245 | Sensitivity Analysis of Common Beam Modeling Parameters in the Eclipse Treatment Planning System On IROC Head and Neck Phantom Results M Glenn*, D Followill , R Howell , J Pollard-Larkin , C Peterson , S Kry , UT MD Anderson Cancer Center, Houston, TX |
| PO-GePV-T-272 | Efficient and Inclusive Linear Accelerator Beam Data Verification M Schmidt*, N Knutson , A Price , B Sun , G Hugo , E Laugeman , E Pryser , S Mutic , F Reynoso , Washington University School of Medicine, St. Louis, MO |
| PO-GePV-T-399 | Cancer Stem Cells and Tumor Control Probability E Fourkal*, M Guerra , A Guemnie Tafo , UPMC Pinnacle Health Cancer Center, Huntingdon Valley, PA |
| SU-E-221AB-4 | Machine Learning in IMRT Plan Evaluation A Roy1*, D Cutright2 , M Gopalakrishnan3 , B Mittal3 , (1) The University of Texas at San Antonio, San Antonio, TX, (2) University of Chicago Medicine, Chicago, IL, (3) Northwestern Memorial Hospital, Chicago, IL |
| SU-E-221CD-5 | Neural Networks for Quantifying Gadoxetate Uptake From Short Or Temporally Sparse DCE MRI Acquisitions J Simeth*, Y Cao , Univ Michigan, Ann Arbor, MI |
| SU-E-SAN1-4 | Feasibility and Uncertainty Analysis for Using Halcyon for Stereotactic Radiotherapy J Chapman*, B Cai , S Mutic , N Knutson , Washington University School of Medicine, St. Louis, MO |
| SU-F-303-2 | Quantitative Photoacoustic Imaging for the Assessment of Targeted Lipo-JICG in a Preclinical Model C Wood1,2*, C Kim1 , S Han1 , Y Wen1 , M Naser1 , C Kaffes1 , J Cook3 , A Sood1,2 , K Sokolov1,2 , R Bouchard1,2 , (1) The University of Texas MD Anderson Cancer Center, Houston, TX, (2) The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, (3) NanoHybrids, Inc., Austin, TX |
| SU-I300-GePD-F5-2 | Assessing Myocardial Perfusion After Cardiac Irradiation Using Dynamic Contrast Enhanced Hybrid PET/MRI O Chau1*, O El-Sherif2 , M Mouawad3 , F Prato4 , S Gaede5 , (1) London Regional Cancer Centre, London, ON, (2) Mayo Clinic, Rochester, MN, (3) Western University, London, ON, (4) Lawson Health Research Institute, London, ON, (5) London Regional Cancer Program, London, ON |
| SU-I300-GePD-F8-3 | Modeling and Simulation of Wide Range Homogeneous Selection Field for 3D MPI Scanner M Irfan1 , O Mercan Dogan1 , N Dogan1 , A Bingolbali2*, (1) Gebze Technical University, Gebze/Kocaeli, (2) Yildiz Technical University, Istanbul |
| SU-I330-GePD-F5-2 | Delineating ITV From 4DCT with Irregular Breathing B Guo1*, P Xia1 , (1) The Cleveland Clinic Foundation, Cleveland, OH |
| SU-I400-GePD-F4-5 | Development, Validation and Assessment of Dose Enhancement Measurement Techniques for Gold Nanoparticles at Ir-192 and 18 MV Energies T Gray1*, N Bassiri2 , S David3 , D Patel4 , A Locker5 , N Kirby6 , K Mayer7 , (1) The University of Texas at San Antonio, San Antonio, TX, (2)University of Texas HSC SA, San Antonio, TX (3) University of Texas at San Antonio, San Antonio, TX, (4) University of Texas at San Antonio, San Antonio, TX, (5) University of Texas at San Antonio, San Antonio, TX, (6) University of Texas HSC SA, San Antonio, TX, (7) University of Texas at San Antonio, San Antonio, TX |
| SU-I400-GePD-F7-5 | Developing a Source Model for the Elekta Unity MR-Linac Using a Grid-Based Boltzmann Solver S Nowak1*, D Hyer1 , R Yang2 , J St-Aubin1 , (1) University of Iowa, Iowa City, IA, (2) Cross Cancer Institute, Edmonton, AB |
| SU-I430-GePD-F8-1 | Functional Networks in Health and Cancerous Brains Related to Language FMRI Q Li1*, G Ferraro1 , L Pasquini2 , K Peck2 , H Makse1 , A Holodny2 , (1) City College of New York, New York, NY, (2) Memorial Sloan Kettering Cancer Center, New York, NY. |
| SU-J400-CAMPUS-F1-1 | Analytical Modeling of 30-300 KV X-Ray Spectra Taking Into Account the Intrinsic Bremsstrahlung Angular Distribution A Omar*, P Andreo, G Poludniowski, Karolinska University Hospital, Stockholm |
| SU-K-SAN4-4 | Comparison of Publicly-Available Knowledge-Based Planning Prostate Routines Using Automated Batch Planning X Fave*, R Kaderka , S Hild , M Cornell , K Moore , Univ of California San Diego Moores Cancer Ctr, La Jolla, CA |
| SU-L-303-8 | Temporal Stability and Energy Dependence of a Compact Iodine Inkjet-Printed Phantom L Douglas*, E Marshall , E Pearson , H Al-Hallaq , I Reiser , The University of Chicago, Chicago, IL |
| SU-L-SAN2-6 | Motion Prediction Confidence Estimation for MRI-Guided Radiotherapy J Ginn*, D Low , J Lamb , D Ruan , University of California, Los Angeles, Los Angeles, CA |
| SU-L-SAN4-7 | Does Motion Interplay Affect Tumor Coverage in IMRT and VMAT Lung SBRT? A 4D Dosimetry Study Using Dynamic Virtual Patient Model T Ma*, B Guo , S Balik , P Qi , A Magnelli , K Stephans , G Videtic , T Zhuang , Cleveland Clinic Foundation, Cleveland, OH |
| TH-B-SAN2-0 | The Anne and Donald Herbert Distinguished Lectureship in Modern Statistical Modeling M Schipper1*, (1) University of Michigan, Ann Arbor, MI |
| TH-B-SAN2-1 | Introduction M Schipper1*, (1) University of Michigan, Ann Arbor, MI |
| TH-B-SAN2-2 | Individualized and Adaptive Radiation Therapy via Statistical Models M Schipper1*, (1) University of Michigan, Ann Arbor, MI |
| TH-B-SAN2-3 | Q&A M Schipper1*, (1) University of Michigan, Ann Arbor, MI |
| TH-BC-303-4 | Continuous Generation of Volumetric Images During SBRT Treatment Using KV Images and An External Respiratory Surrogate M Lafreniere1*, N Mahadeo1 , J Lewis2 , J Rottmann3 , C Williams1 , (1) Brigham & Women's Hospital, Harvard Medical School (2) UCLA School of Medicine (3) Paul Scherrer Institute |
| TH-BC-303-8 | Image Regression Motion Prediction for MRI-Guided Radiotherapy J Ginn*, D Ruan , D Low , J Lamb , University of California, Los Angeles, Los Angeles, CA |
| TH-BC-304-1 | BEST IN PHYSICS (IMAGING): Reference Dataset for Benchmarking Organ Doses Derived From Monte Carlo Simulations of CT Exams A Hardy1*, M Bostani1 , E Angel2 , C Cagnon1 , M McNitt-Gray1 , (1) UCLA, Los Angeles, CA, (2) Canon Medical Systems, Tustin, CA |
| TH-BC-304-4 | Modeling CT Scanner Complexities Using Deterministic Linear Boltzmann Transport Equation Solver for Patient-Specific CT Dose Estimation S Principi1,2*, A Wang3 , A Maslowski4 , T Wareing4 , P Jordan4 , T Schmidt1,2 , (1) Medical College of Wisconsin, Milwaukee, WI, (2) Marquette University, Milwaukee, WI, (3) Stanford University, Stanford, CA, (4) Varian, Palo Alto, CA |
| TH-C-SAN2-3 | Dose-Specific PET Image-Based Outcome Prediction: A Deep Learning Study for Oropharyngeal Cancer IMRT Application C Liu*, C Wang , K Lafata , Y Chang , Y Cui , F Yin , Duke University Medical Center, Durham, NC |
| TU-AB-SAN2-3 | A Deep Learning Method for Xerostomia Prediction in Head-And-Neck Radiotherapy K Men*, H Geng , H Zhong , Y Fan , A Lin , Y Xiao , University of Pennsylvania, Philadelphia, PA 19104, USA |
| TU-AB-SAN2-8 | Intratumoral and Peritumoral CT Radiomic Modeling to Predict Treatment Failure of Early Stage Non-Small Cell Lung Cancers K Lafata1*, Y Gao2 , Y Chang3 , C Wang4 , C Kelsey5 , F Yin6 , (1) Duke University Medical Center, Durham, NC, (2) Duke University Medical Physics Graduate Program, Durham, NC, (3) Duke University Medical Center, Durham, NC, (4) Duke University Medical Center, Durham, NC, (5) Duke University, Durham, ,(6) Duke University Medical Center, Durham, NC |
| TU-AB-SAN2-9 | Investigating Radiomics to Predict Positive Lymph Nodes in Oral Cavity Squamous Cell Carcinoma (OSCC) A Traverso12*, A Hosni-Abdalaty2 , M Hasan2 , J Kim2 , J Ringash2 , J Cho2 , S Bratman2 , A Bailey2 , J Waldron9 , M Welch2 , J Irish3 , B O'Sullivan2 , J De Almeida3 , M Giuliani2 , D Chepeha2 , D Goldstein2 , D Jaffray2 , L Wee1 , A Dekker1 , A Hope2 , (1) MAASTRO Clinic, Maastricht, The Netherlands ,(2) Princess Margaret Cancer Centre, Toronto, Canada (3) University Health Network, Toronto, Canada |
| TU-C930-GePD-F6-1 | Generalized Image Quality Analysis for Nonlinear Algorithms in CT G Gang*, X Guo , J Stayman , Johns Hopkins University, Baltimore, MD |
| TU-C930-GePD-F8-2 | Description and Validation of An Acquisition-Specific Parameterized Approach to Peak Skin Dose Calculation for Fluoroscopy Guided Interventional Procedures D Vergara*, M Hoerner, A Mustafa, Department of Radiology and Biomedical Imaging, Yale School of Medicine and Yale New Haven Hospital, New Haven, CT |
| TU-F115-GePD-F2-1 | Modeling Tumor Growth and Radiation Response with a Multi-Population, Diffusion-Based Model E Dahlman*, Y Watanabe , University of Minnesota, Minneapolis, MN |
| TU-HI-221AB-0 | Biomedical Modeling Using Imaging Data P Boyle1*, D Tward2*, D Holdsworth3*, C Grassberger4*, (1) University of Washington, Seattle, WA, (2) The Johns Hopkins University, Baltimore, MD, (3) John P. Robarts Research Instit., London, ON, (4) Massachusetts General Hospital, Boston, MA |
| TU-HI-SAN2-2 | Artificial Intelligence-Driven Pancreas Stereotactic Body Radiation Therapy (SBRT) Treatment Planning J Zhang1*, Y Ge2 , C Wang1 , Y Sheng1 , M Palta1 , B Czito1 , C Willet1 , F Yin1 , Q Wu1 , (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC |
| WE-AB-225BCD-7 | Modeling Local Versus Distant Tumor Recurrence in Non-Small Cell Lung Cancer Patients Receiving Combined Chemoradiotherapy and Molecularly Targeted Drugs D McClatchy*, H Paganetti , H Willers , C Grassberger , Massachusetts General Hospital and Harvard Medical School, Boston, MA |
| WE-C1000-GePD-F6-1 | Accuracy Optimization in Magnetic Fluid Hyperthermia (MFH) Simulations C Papadopoulos1, G Loudos2 , D Fuentes3* , G C Kagadis1, 3 , (1) University of Patras, Rion, Greece,(2) University of West Attica, Athens, Greece,(3) MD Anderson, Houston, TX, USA |
| WE-C1030-GePD-F2-3 | Multitask-Based Supervised Deep Learning Using Contrast-Enhanced CT (CECT) Images for Hepatocellular Carcinoma (HCC) Intrahepatic Progression Risk Analysis L Wei1*, D Owen2 , M Mendiratta-Lala3 , B Rosen2 , K Cuneo2 , T Lawrence2 , R Ten Haken2 , I El Naqa2 , (1) Applied Physics Program, University of Michigan, Ann Arbor, MI, (2) Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, (3) Department of Radiology, University of Michigan, Ann Arbor, MI |
| WE-C1030-GePD-F3-1 | Quantification of DNA Damage After An Ionizing Irradiation Session K Chatzipapas1, P Papadimitroulas2 , N Papanikolaou3 , N Kirby3*, G C Kagadis1 , (1) University of Patras, Rion, Greece, (2) BIOEMTECH,Athens, Greece, (3) University of Texas HSC SA, San Antonio, TX, USA |
| WE-C1030-GePD-F3-3 | Minimum Required Dose Rate for FLASH RT: A Dimensional Analysis S Zhou*, D Zheng , S Wang , Q Fan , L Yu , A Besemer , C Zhou , C Enke , University of Nebraska Medical Center, Omaha, NE |
| WE-C930-GePD-F4-4 | Modeling of Interplay Effect Due to Number of Parameters for Stereotactic Body Radiotherapy of Liver Cancer D Thaper1*, A Oinam2 , R Kamal1 , G Singh1 , V Kumar1 , HP yadav3 (1) Centre for Medical Physics, Panjab University, Chandigarh ,(2) Department of Radiotherapy. PGIMER, Chandigarh ,(3) Institute of Liver and Biliary Sciences, New Delhi |
| WE-FG-304-10 | Creation of An Ultra-Realistic EXtended Multi-Contrast ANthropomorphic (XMAN) Digital Phantom Using Cycle-Generative Adversarial Network (Cycle-GAN) Y Chang1*, F Yin2 , L Ren3 , (1) Duke University Medical Center, Durham, NC, (2) Duke University Medical Center, Durham, NC, (3) Duke University Medical Center, Cary, NC |
