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Keywords: Optimization
| MO-A-BRC-6 | Task-Based Sampling of the MIDRC Sequestered Data Commons for Algorithm Performance Evaluation N Baughan1*, H Whitney1,2, K Drukker1, B Sahiner3, T Hu3, G Kim4, M McNitt-Gray4, K Myers5, M Giger1, (1) University of Chicago, Chicago, IL, (2) Wheaton College, Wheaton, IL, (3) US Food and Drug Administration, Silver Spring, MD, (4) UCLA, Los Angeles, CA, (5) US Food and Drug Administration, retired, Silver Spring, MD |
| MO-C930-IePD-F4-4 | Automated Clinical-Criteria-Driven Optimal Planning: Clinical Experience with 5000 Patients Q Huang, G Jhanwar*, J Yang, H Pham, L Cervino, J Deasy, M Zarepisheh, L Hong, Memorial Sloan Kettering Cancer Center, New York, NY |
| MO-C930-IePD-F7-2 | An Optimal Solution Study Using the Leksell Gamma Knife® Lightning Optimizer for Stereotactic Radiosurgery of Benign Lesions D Wieczorek1,2, R Kotecha1,2, Y Lee1, M Tom1,2, M Hall1,2, M Mehta1,2, M Mcdermott2,3, A Gutierrez1,2, R Tolakanahalli1,2*, (1) Miami Cancer Institute, Miami, FL, (2) Herbert Wertheim College of Medicine, Florida International University, Miami, FL (3) Miami Neuroscience Institute, Miami, FL |
| MO-C930-IePD-F8-4 | The Longitudinal Impact of a Team of Medical Physicists On Computed Tomography Protocol Optimization J Meier, J Krebs, T Szczykutowicz*, University Wisconsin-Madison, Madison, WI |
| MO-H345-IePD-F4-3 | ArcPT Plan Optimization: Thinking Out of the Box with Mixed-Integer Programming S Wuyckens1*, M Saint-guillain2, G Janssens3, E Sterpin1,4, J Lee1, K Souris1, (1) UCLouvain / MIRO, Woluwe-saint-lambert, BE, (2) UCLouvain / ICTEAM, Louvain-La-Neuve, BE, (3) Ion Beam Applications SA, Louvain-la-neuve, BE, (4) KULeuven / Department of Oncology, Leuven, BE |
| MO-H345-IePD-F4-4 | Integrating Structure Propagation Uncertainties in The optimization of Online Adaptive Proton Therapy Plans L Nenoff1,2*, G Buti1,2,3, A Sudhyadhom4, G Sharp1,2, H Paganetti1,2, (1) Harvard Medical School, Boston, Massachusetts, USA (2) Department of Radiation Oncology, Massachusetts General, Boston, MA, USA (3) Universite Catholique de Louvain, Institute of Experimental and Clinical Research (IREC), Center of Molecular Imaging, Radiotherapy and Oncology (MIRO), Belgium(4)Radiation Oncology, Brigham and Women's Hospital, Boston, Massachusetts, USA |
| MO-H345-IePD-F4-5 | Dependence of LET-Enhancement On Patient-Specific Anatomy in Intensity Modulated Proton Therapy Treatment Planning for Rectal Cancer J Rivera1*, K Gergelis1, R Mutter1, H Wan Chan Tseung1, C Hallemeier1, N Remmes1, M Herman1, J Ma1, (1) Department of Radiation Oncology, Mayo Clinic, Rochester, MN 55905, USA |
| MO-H345-IePD-F4-6 | A Nearly-Exact Beam Angle Optimization Algorithm Via Angle Generation Method H Shen1,2, G Zhang2, Y Lin1, R Chen1, Y Long2, H Gao1*, (1) University of Kansas Medical Center, Kansas City, KS (2) Shanghai Jiao Tong University, Shanghai, China |
| MO-I430-BReP-F3-2 | Metaheuristic Optimization Method for Neutron Capture Therapy C Busch1*, S Bogetic1, C Ramsey1,2, (1) University of Tennessee, Knoxville, TN, (2) Thompson Cancer Survival Center, Knoxville, TN |
| PO-GePV-I-33 | The 'BEST' Method of Measuring SNR of MRI QA Images M NessAiver1*, E Nessaiver2, S Nessaiver3, A NessAiver4 (1) Simply Physics, Baltimore, MD, (2) Johns Hopkins University, ,,(3) Simply Physics Inc,(4) Simply Physics Inc |
| PO-GePV-I-56 | Development of An Ultra-Low Dose Computed Tomography Protocol for Detection of Inhaled Foreign Bodies in Pediatric Patients C Kofler*, I Reiser, E Marshall, Z Lu, K Feinstein, M Zaritzky, Department of Radiology, The University of Chicago, Chicago, IL |
| PO-GePV-M-115 | Correlation Between Angular Dependent Dose Projections and Field Shape Changes in Adapted VMAT Plans P Kessler*, K Kirschbaum, F Schwab, K Bratengeier, *Department of Radiation Oncology, University Hospital Wurzburg, Wurzburg, Germany |
| PO-GePV-M-305 | Hippocampus Avoidance Whole Brain Volumetric Modulated Arc Therapy (VMAT) Using A Knowledge Based Treatment Planning Model Y Fu*, J Wolf, J Zhang, J Roper, J Bradley, T Liu, X Yang, Emory University, Atlanta, GA |
| PO-GePV-T-7 | Difference of Pseudo Fluences - a Novel Concept for VMAT Plan Adaption K Kirschbaum1, P Kessler1*, E Jung1, B Hahn2, K Bratengeier1, (1) Department of Radiation Oncology, University Hospital Wurzburg, Wurzburg, Germany, (2) Department of Mathematics, University of Stuttgart, Stuttgart, Germany |
| PO-GePV-T-55 | Integrated Optimization of Needle Path and Dwell Time for Individual Template Guided Interstitial Brachytherapy Y Wang1, B Liu1,2*, H Sun3, F Zhou1,2 (1)Image Processing Center, Beihang University, Beijing, CN (2) Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, CN (3) Department of Radiation Oncology, Peking University Third Hospital, Beijing, CN |
| PO-GePV-T-171 | Assessing Plan Robustness for IMPT Using a Machine Learning Model M Newpower*, Y Chen, S Ahmad, University of Oklahoma Health Sciences Center, Oklahoma City, OK ; OU Health, Oklahoma City, OK |
| PO-GePV-T-179 | Proton Lattice Planning Strategy Using Primary and Robust Complimentary Beams S Mossahebi*, J Jatczak, B Zhang, J Molitoris, P Mohindra, W Regine, B Yi, University of Maryland School of Medicine, Baltimore, MD |
| PO-GePV-T-251 | Exploration of One-Step Auto Planning: Tomotherapy MLC Sequence Prediction Yaoying Liu1,2, Xuying Shang1,2, Gaolong Zhang1, Xiaoyun Le1, Wei Zhao1, Chuanbin Xie2, Baolin Qu2, Shouping Xu3,* (1) Beihang University, School of Physics, Beijing, China. (2) The First Medical Center of PLA General Hospital, Department of Radiation Oncology, Beijing, China. (3) National Cancer Center/Cancer Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Radiation Oncology, Beijing, China. |
| PO-GePV-T-252 | Reinforcement Learning to Speed Up Conjugate Gradient Optimization in IMRT M Hakala1, S Basiri1, E Kuusela1, K Bush2*, (1) Varian Medical Systems Finland, Helsinki,FI, (2) Stanford University, Stanford, CA |
| PO-GePV-T-254 | Transformer Network Assisted VMAT Optimization P Dong*, L Xing, Stanford University School of Medicine, Stanford, CA |
| PO-GePV-T-255 | Intensity Based Optimization Using Monte Carlo Dose Distribution for VMAT Plans N Miri1*, A Pant2, S Bhagroo3, J Mathews4, D Nazareth1,2, (1) Roswell Park Comprehensive Cancer Center, Buffalo, NY (2) University at Buffalo, Buffalo, NY (3) University of Utah, Salt Lake City, UT (4) The Ohio State University, Columbus, OH |
| PO-GePV-T-256 | Radiotherapy Planning with Monte Carlo Dose Calculation and Intensity Optimization On Control Points N Miri1*, A Pant2, S Bhagroo3, J Mathews4, D Nazareth1,2, (1) Roswell Park Comprehensive Cancer Center, Buffalo, NY, (2) University at Buffalo, Buffalo, NY, (3) University of Utah, Salt Lake City, UT, (4) The Ohio State University, Columbus, OH |
| PO-GePV-T-257 | Dose Predictions Facilitate Efficient Optimization of High-Quality Prostate Treatment Plans S Robertson*, D Lasher, B Kassas, Wellspan Health, York, PA |
| PO-GePV-T-262 | Learning DVH Criteria in Radiation Therapy Treatment Planning F Ahmadi*, T McNutt, K Ghobadi, Johns Hopkins University, Baltimore, MD |
| PO-GePV-T-275 | Breast Conformal Radiotherapy with Sequential Boost Versus Intensity-Modulated Radiation Therapy with a Simultaneously Integrated Boost G Komisopoulos1*, P Mavroidis2, F Simopoulou3, G Kyrgias1, N Papanikolaou4, K Theodorou1, (1) Medical School, University of Thessaly, Larissa, Greece,(2) University of North Carolina, Chapel Hill, NC, (3) Iaso Thessaly Medical Center, Larissa, Greece, (4) University of Texas HSC SA, San Antonio, TX |
| PO-GePV-T-276 | Assessment of Varian Ethos Intelligent Optimization Engine (IOE) for Stereotactic Body Radiation Therapy (SBRT) Treatment Plans for Lung Metastases A Pacheco1*, S Pokharel2, C Cross3, (1) GenesisCare USA, Naples, FL, (2) Boca Raton Regional Hospital, Estero, FL, (3) GenesisCare USA, Naples, FL |
| PO-GePV-T-387 | Evaluation of 4Pi Arc Positioning for Cranial VMAT SRS in Elements B Loughery*, C Knill, R Sandhu, L Lin, Z Seymour, Beaumont Hospital, Dearborn, MI |
| PO-GePV-T-391 | Evaluation of the Leksell Gamma Knife Lightning Optimizer for Stereotactic Radiosurgery of Postoperative Resection Cavities R Tolakanahalli1,2*, Y Lee1, V Chaswal1,2, M Tom1,2, M Hall1,2, M Mcdermott2,3, M Mehta1,2, A Gutierrez1,2, R Kotecha1,2, D Wieczorek1,2, (1) Miami Cancer Institute, Miami, FL, (2) Herbert Wertheim College of Medicine, Florida International University, Miami, FL (3) Miami Neuroscience Institute, Miami, FL |
| PO-GePV-T-408 | Impact of Vertex Size in Lattice Spatially Fractionated Radiation Therapy for Pelvic Bulky Tumors A Magnoni, E Donnelly, H Zhang*, Northwestern Memorial Hospital |
| PO-GePV-T-412 | Lowering Modulation Factor in Lung SBRT Plans While Observing RTOG Constraints A Boria1*, G Narayanasamy1, M Bimali2, D Desai3, F Kalantari1, P Sabouri1, Z Su1, (1) University of Arkansas for Medical Sciences, Little Rock, AR, (2) Nexus Institute for Research and Innovation, Lalitpur, Nepal, (3) Memorial Hospital, Chattanooga, TN. |
| SU-E-201-6 | Multi-Domain Constraint Based Estimation of Effective Atomic Number and Electron Density for Dual Energy CT Q Wang1*, H Xie1, C Chang1, T Wang1, J Roper1, X Tang2, J Bradley1, T Liu1, X Yang1, (1) Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA,(2) Department of Radiology and Imaging Sciences and Winship Cancer Institute, Emory University, Atlanta, GA |
| SU-E-206-1 | A Novel Simultaneous Plan Quality and Beam Delivery Time SPArc Optimization Platform Using Primal Dual Active Set with Continuation (PDASC) L Zhao1*, J You2, G Liu1, X Lu3, X Ding1, (1) Department of Radiation Oncology, Beaumont Health System, Royal Oak, MI, (2) Department Of Mathematics, Hong Kong University Of Science And Technology (3) School Of Mathematics And Statistics, Wuhan University |
| SU-E-206-2 | Automatic VMAT Machine Parameter Optimization Using Deep Deterministic Policy Gradients W Hrinivich*, H Li, J Lee, Dept. of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD |
| SU-E-206-4 | Distributed and Scalable Optimization for Robust Proton Treatment Planning A Fu1*, V Taasti2, J Deasy1, M Zarepisheh1, (1) Memorial Sloan-Kettering Cancer Center, New York, NY, (2) Maastricht University Medical Center, Maastricht, NL |
| SU-E-206-6 | Towards Automated, Knowledge-Based Brachytherapy Treatment Planning: Converting 3D Dose to Optimized Dwell Times K Kallis, L Moore, D Brown, J Mayadev, KL Moore, SM Meyers*, University of California, San Diego, La Jolla, CA |
| SU-H300-IePD-F6-5 | Synergizing Artificial Intelligence 3D Dose Predictor with Ethos Intelligent Optimizer for Head and Neck Adaptive Radiotherapy Treatments J Visak*, E Inam, B Meng, D Nguyen, D Parsons, T Zhuang, D Moon, V Avkshtol, D Sher, M Lin, University of Texas Southwestern Medical Center, Dallas, TX |
| SU-I400-BReP-F1-4 | CT Beam Width Measurement Using a CTDI Pencil Chamber M Fadhel, K Grizzard, D Vergara, R Perez Franco, M Hoerner*, Yale University, New Haven, CT |
| SU-J-206-1 | An Evolutionary Algorithm of the Spot Sparsity Optimization in Proton Arc Therapy L Zhao*, G Liu, X Li, X Ding, Department of Radiation Oncology, Beaumont Health System, Royal Oak, MI |
| TH-A-207-1 | Detector and Beam Flux Optimization for X-Ray Fluorescence Emission Tomography H DeBrosse1*, L J Meng2, P La Riviere1, (1) University of Chicago, Chicago, IL, (2) University of Illinois Urbana-Champaign |
| TH-A-207-2 | Development of a Photon-Counting Based Multi-Energy Small Animal CBCT to Improve Radiation Dose Calculation Accuracy in Preclinical Radiation Research X Hu1*, Y Zhong1, K Yang2, X Jia1, (1) University of Texas Southwestern Medical Center, Dallas, TX, (2) Harvard Medical School, Massachusetts General Hospital, Boston, MA |
| TH-B-206-2 | Fast Adaptive Replanning by Constrained Reoptimization for Intra-Fractional Non-Periodic Motion During SBRT of the Prostate S Gerlach1*, T Hofmann2, C Fuerweger3, A Schlaefer4, (1) Hamburg University of Technology, Hamburg, HH, DE, (2) European Cyberknife Center Munich, Munich, BY, DE, (3) European Cyberknife Center Munich, Munich, BY, DE, (4) Hamburg University of Technology, Hamburg, HH, DE |
| TH-F-201-3 | CT-Guided and Sparsity-Constrained Multi-Material Decomposition for Dual Energy CBCT Q Wang1*, H Xie1, T Wang1, J Roper1, X Tang2, J Bradley1, T Liu1, X Yang1, (1) Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, (2) Department of Radiology and Imaging Sciences and Winship Cancer Institute, Emory University, Atlanta, GA |
| TU-D930-IePD-F6-5 | Implementation of Accountability Strategy to Improve Package Time W Duggar*, L Weatherall, M Nittala, T Thomas, E Mundra, J Otts, W Woods, C Yang, S Vijayakumar, University of Mississippi Med. Center, Jackson, MS |
| TU-F115-IePD-F5-1 | Energy Matrix Based Energy Layer Optimization for Proton Arc Therapy G Zhang1, H Shen1,2*, Y Lin2, R Chen2, Y Long1, H Gao2*, (1) Shanghai Jiao Tong University, Shanghai, China (2) University of Kansas Medical Center, Kansas City, KS |
| TU-G-BRA-5 | Automated Optimization of Lattice Geometry to Maximize Dose Heterogeneity in Spatially Fractionated Radiation Therapy (SFRT) P Hill*, RA Bayliss, Z Morris, C Glide-Hurst, University of Wisconsin, Madison, WI |
| TU-I345-IePD-F2-2 | IMRT Plans Guided by Novel Artificial Intelligence Neuro-Fuzzy Algorithm E Cisternas Jimenez12*, F Yin123, (1) Medical Physics Graduate Program, Duke University, Durham, NC, United States of America , (2) Department of Radiation Oncology, Duke University, Durham, NC, United States of America, (3) Medical Physics Graduate Program, Duke Kunshan University, Kunshan, People's Republic of China |
| WE-C1000-IePD-F3-1 | Development of Colli-DTRT: A Non-Coplanar Intensity Modulated Arc Therapy Technique with Dynamic Collimator Rotation J Bertholet1*, C Zhu1,2, P-H Mackeprang1, HA Loebner1, G Guyer1, W Volken1, O Elicin1, DM Aebersold1, MFM Stampanoni2, S Mueller1, MK Fix1, P Manser1, (1) Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland, (2) Institute for Biomedical Engineering, ETH Zuerich and PSI, Villigen, Switzerland |
| WE-E-BRA-6 | The Stereotactic Map and Compass: How to Use AFI Strategy Optimization and R50%Analytic to Find Your Way to An Excellent SRS/SRT Plan I Cordrey1*, D Desai2, (1) Cumberland Medical Center, Crossville, TN, (2) Memorial Hospital, Chattanooga, TN |
| WE-G-BRC-1 | A Data-Driven Fluence Map Optimization Approach to Mitigate the Risk of Deep Learning Tumor Segmentation Misclassification R Li1*, N Ebadi2, J Boutilier3, P Rad2, J Buatti1, M De Oliveira1, N Kirby1, N Papanikolaou1, M Bonnen1, A Roy2, (1) University of Texas Health Science Center SA, San Antonio, TX, (2) University of Texas at San Antonio, San Antonio, TX (3) University of Wisconsin-Madison, Madison, WI |
| WE-G-BRC-5 | Performing Fully Automated Treatment Planning Using Meta-Optimization C Huang*, Y Nomura, Y Yang, L Xing, Stanford University School of Medicine, Stanford, CA |