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Taxonomy: IM/TH- MRI in Radiation Therapy: MRI for treatment planning

MO-E115-IePD-F2-4Low-Dose Contrast-Enhancement MRI Using Deep Learning with Patient-Specific Image Prior for Liver Cancer Adaptive Radiotherapy
Y Gao, J Deng, X Jia*, The University of Texas Southwestern Medical Ctr, Garland, TX
MO-E115-IePD-F6-3Retrospective Cardio-Respiratory Motion Corrected Dose Evaluation for the Left Ventricle and Left Ventricle Myocardium From Lung Radiation Therapy Treatments
A Omidi1*, E Weiss2, J Wilson1,3, M Rosu-Bubulac2, (1) Department of Biomedical Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA, (2) Department of Radiation Oncology, School of Medicine, Virginia Commonwealth University, Richmond, VA, (3) Pauley Heart Center, School of medicine, Virginia Commonwealth University, Richmond, VA,
MO-E115-IePD-F6-44D-THRIVE MRI for Internal Target Volume Estimation in Abdominal and Lung Radiation Therapy
J Deng, T Aguilera, R Hannan, A Godley*, University of Texas Southwestern Medical Ctr, Dallas, Texas
PO-GePV-M-83MRI-Based Synthetic CT Images Generated Using 3D Conditional GAN for IMPT Treatment Planning
S Chen*, A Qin, R Deraniyagala, X Ding, William Beaumont Hospital, Royal Oak, MI Y Peng, Y Liu, C Zhao, X Deng, Sun Yat-sen University, Guangzhou, Guangdong, China
PO-GePV-M-171Assessment of Elements' MRI Distortion Correction Function with the Use of a Virtual Anthropomorphic Phantom
G Nunez1*, R Diaz Moreno1, R Isoardi2, C Venencia1, (1) Instituto Zunino - Fundacion Marie Curie, Cordoba, ARGENTINA,(2) Fundacion Escuela De Medicina Nuclear, Mendoza, ARGENTINA
PO-GePV-M-264Development of Quality Assurance Metrics for Synthetic CT Image Generation of Treatments Utilizing MRI-Only Simulation for External Beam Radiotherapy
K Singhrao1*, C Calvin1, M Lauria2, T Nano1, J Lewis3, J Scholey1, A Sudhyadhom4, (1) University Of California, San Francisco, San Francisco, CA (2) University of California, Los Angeles, Los Angeles, CA, (3) Cedars-Sinai Medical Center, Pacific Palisades, CA, (4) Brigham and Women's Hospital | Dana-Farber Cancer Institute | Harvard Medical School, Boston, MA
SU-F-BRC-8Development and Validation of a Novel Multi-Modal (MRI and KVCT) Method to Determine Proton Stopping Power Ratio
R Marants1*, J Scholey2, E Kaza1, X Miao3, T Benkert4, A Sudhyadhom1, (1) Brigham and Women's Hospital | Dana-Farber Cancer Institute | Harvard Medical School, Boston, MA, (2) University of California San Francisco, San Francisco, CA, (3) Siemens Medical Solutions USA Inc., Malvern, PA, (4) Siemens Healthcare GmbH, Erlangen, Germany
SU-H330-IePD-F6-1Improvement of Online Treatment Planning with the MR-Linac Using Fat-Suppressed MRI
T Salzillo1*, A Dresner2, A Way1, K Wahid1, S Mulder1, A Yoder1, S Ahmed1, K Corrigan1, G Manzar1, L Andring1, C Pinnix1, R Stafford3, A Mohamed1, J Wang4, C Fuller1, (1) Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX (2) Philips Healthcare (3) Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX (4) Department of Radiation Physics, MD Anderson Cancer Center, Houston, TX
SU-H400-IePD-F8-6Improving Structural Similarity Based Indication for MR-Guided Online Adaptation Replanning
Abdul K. Parchur*, Haidy Nasief, Sara Lim, Eenas Omari, Ying Zhang, X. Allen Li, Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, 53226 USA
TH-D-BRC-4Measuring Acute and Chronic Fibrosis Over the Course of Radiation Therapy in Gynecological Cancer Patients Using Ultrashort Echo Time (UTE) MRI
K Sheikh1,2*, J Lee1, R Seethamraju3, T Benkert4, H Bhat3, B Daniel5, D Song1, A Viswanathan1, E Schmidt1, (1) Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, (2) The Johns Hopkins Proton Center, Washington, DC (3) Siemens Medical Solutions, Boston MA, (4) MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, (5) Department of Radiology, Stanford University, Stanford, CA
TU-F115-IePD-F2-1Urethral Inter-Fractional Geometric and Dosimetric Variations of Prostate Cancer Patients: A Study Using An On-Board MRI
J Pham*, R Savjani, S Yoon, T Yang, Y Gao, M Cao, P Hu, K Sheng, D Low, M Steinberg, A Kishan, Y Yang, University of California, Los Angeles, Los Angeles, CA
TU-F115-IePD-F2-4Assessment of MR-Generated Synthetic CT for Treatment Planning of Gamma Knife Radiosurgery
T Qu, J Xue, D Barbee, D Kondziolka, H Wang*, NYU Langone Health, New York, NY, Elekta Inc.
TU-J430-BReP-F2-4Dominant Index Prostatic Lesions Segmentation Using Deep Learning for MR-Guided Radiative Ablation
J Simeth*, J Jiang, A Nosov, A Wimber, M Zelefsky, N Tyagi, H Veeraraghavan, MSKCC, New York, NY
WE-B-202-2MRI Simulation Protocol Optimization for Ocular Melanoma Proton Therapy Treatment Planning
M Goette1*, R Slopsema2, A Dhabaan2, L Qiu2, D Qian2, H Shu2, (1) Emory Healthcare, Atlanta, GA, (2) Emory University, Atlanta, GA

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