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Taxonomy: TH- External Beam- Photons: IMRT/VMAT dose optimization algorithms

PO-GePV-M-292	Predicting the Complexity of Head and Neck VMAT Planning Using a TPS Quality Assurance Software M Sasaki1*, Y Nakaguchi2, S Ueda3, Y Endo4, A Kajino5, D Sato6, H Ikushima7, (1) Department of Therapeutic Radiology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, JP, (2) TOYO-MEDIC Co.,Ltd, Tokyo, JP, (3)Department of Radiological Technology, Yawatahama City General Hospital, Ehime, JP, (4)Graduate School Medical Sciences, Tokushima University, Tokushima, JP, (5)Graduate School of Health Sciences, Tokushima University, Tokushima, JP, (6)Graduate School of Health Sciences, Tokushima University, Tokushima, JP, (7)Department of Therapeutic Radiology, Institute of Biomedical Sciences, Tokushima University Graduate School,Tokushima,JP
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-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-260	Case-Based Reasoning Optimization Algorithm for Inverse Planning in Head and Neck Radiotherapy R Reiazi*, S Prajapati, A Mohamed, C Fuller, M Salehpour, UT MD Anderson Cancer Center, Houston, TX
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-407	Differences Between AcurosXB and AAA On Collimator Angle in VMAT-SBRT for Lung Tumor Y Yamanaka1*, K Inoue2, Y Suetsugu3, M Tateishi1, T Hirose4, J Fukunaga4, T Yoshitake1, T Sasaki5, K Atsumi1, (1) Kyushu University, Fukuoka-shi, 40, JP, (2) Steel Memorial Yawata Hosp., Kitakyushu-shi, Fukuoka-ken, 40, JP, (3) Hos. of the Univ. of Occupational and Environmental Health, Kitakyushu-shi, Fukuoka-ken, 40, JP, (4) Kyushu Univ. Hosp., Fukuoka-shi, Fukuoka-ken, 40, JP, (5) Iizuka Hosp.,Iizuka-shi, Fukuoka-ken, 40,JP,
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-H300-IePD-F6-4	Deep Learning Guided Segment-Maintained Adaptive Radiotherapy (SMART) T Knewtson1*, G Szalkowski2, X Xu3, P Mavroidis4, J Dooley5, S Das6, J Lian7, (1) UNC Health Care, Chapel Hill, NC, (2) UNC Health Care, Chapel Hill, NC, (3) Rensselaer Polytechnic Institute, Troy, New York, (4) University of North Carolina, Chapel Hill, NC, (5) University of North Carolina, Chapel Hill, NC, (6) University of North Carolina, Chapel Hill, NC, (7) University of North Carolina, Chapel Hill, NC
SU-J-BRC-5	Fully Convolutional Neural Network Model to Predict 3D Dose for Breast Radiotherapy F Nematollahi*, K Moore, L Moore, K Kisling, UC San Diego, La Jolla, CA
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
TU-I345-IePD-F4-1	The Fluence Sensitivity Matrix and the Influence of Variable Scattering Radius in IMRT Optimization H Stephens*, Q Wu, Q Wu, Duke University, Durham, NC
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