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Taxonomy: IM/TH- MRI in Radiation Therapy: MRI/Linear accelerator combined- IGRT and tracking

MO-B-BRC-2Comprehensive Evaluation of a Real-Time 3D MR Imaging Technique Using a Deformation-Driven Deep Convolutional Neural Network (KS-RegNet)
H Shao1*, T Li2, M Dohopolski1, J Wang1, J Cai2, J Tan1, K Wang1, Y Zhang1, (1) The University of Texas Southwestern Medical Center, Dallas, TX, (2) The Hong Kong Polytechnic University, Hong Kong, HK
MO-E115-BOP-F1-1Automatic Delineation of the Hippocampus Based On Deep Learning Using Multimodal Imaging for Cerebral Radiotherapy
R Zhang1*, Y Liu2, C Fu3, J Zhang4, D Li5, C Chen6, Z Dai7, L Jia8, W Zhang9, (1) The First Hospital of Tsinghua University, Beijing, CN (2) Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, CN (3) The First Hospital of Tsinghua University, Beijing, CN (4) The First Hospital of Tsinghua University, Beijing, CN (5) The First Hospital of Tsinghua University, Beijing, CN (6) The First Hospital of Tsinghua University, Beijing, CN (7) United Imaging Research Institute of Intelligent Imaging, Beijing, CN (8) Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, CN (9) Shanghai United Imaging Healthcare CO., Ltd, Shanghai, CN
MO-E115-IePD-F6-5Real Time Volumetric MRI From Ultra-Sparse Samples Via Implicit Neural Representation Learning
R Yesiloglu1*, L Shen2, A Johansson3, Y Cao4, J Balter5, L Xing6, L Liu7, (1) Stanford University, Stanford, CA, (2)Stanford University,Palo Alto, CA, (3) Uppsala University, Sweden, (4) University of Michigan, Ann Arbor, MI, (5) University of Michigan, Ann Arbor, MI, (6) Stanford University School of Medicine, Stanford, CA, (7) Stanford University, Palo Alto, CA
MO-G-BRC-3First Experimental Demonstration of Time-Resolved Plastic Scintillation Dosimetry On An MR-Linac
P Uijtewaal1*, P Borman1, B Cote2, Y Lechasseur2, J Turcotte2, S Lambert-girard2, P Woodhead1, S Woodings1, W de Vries1, R Flores3, S Smith3, B Raaymakers1, M Fast1, (1) Umc Utrecht, (2) Medscint, Inc., Quebec, QC, CA, (3) Modus Medical Devices, Inc., London, ON, CA
MO-G-BRC-6Technical Feasibility of Real-Time Cardiorespiratory Motion Mitigation Using MRI-Guided MLC-Tracking On the Unity MR-Linac
P Borman*, P Uijtewaal, O Akdag, P Woodhead, B Raaymakers, M Fast, University Medical Center Utrecht, Utrecht, NL
PO-GePV-M-194Feasibility of PTV Margin Reduction for Pelvic Oligometastatic Disease Treated Using MRI-Guided Adaptive Radiotherapy
J Snyder1*, J St. Aubin1, D Dunkerley1, D Hyer1, (1) University of Iowa Hospitals and Clinics, Iowa City, IA
PO-GePV-M-268Gating Parameters for MR-Guided Radiotherapy: When One Tracks Not What One Treats
C Ainsley*, Thomas Jefferson University, Philadelphia, PA
SU-F-207-5Association Between Liver Tumor and Surface Motion From Cine MR Images On An MRI-Linac
W Mao*, J Kim, I Chetty, Henry Ford Health System, Detroit, MI
SU-H300-IePD-F9-4An In-Vivo Evaluation of MRI Sequences for Online Adaptive Cardiac Radioablation in the Presence of Cardiac Implantable Devices On a 1.5 T MR-Linac
O Akdag1*, ALH Van Lier1, S Mandija1, R Keesman1,2, PTS Borman1, SMG Van De Pol1, JJC Verhoeff1, FAA Mohamed Hoesein1, RJ Hassink1, BW Raaymakers1, MF Fast1, (1) University Medical Center Utrecht, Utrecht, NL, (2) Radboud University Medical Center, Nijmegen, NL
SU-H330-IePD-F6-4Fabrication of a Novel Device Insert to Assess Feasibility of Manually Gated Treatments On MR Linac
J Visak, D Parsons, T Chiu, A Godley, J Deng*, University of Texas Southwestern Medical Center, Dallas, TX
SU-H330-IePD-F6-6Pancreatic Tumor Motion Correlation with Common Motion Surrogates On Cine MRI Acquired with a MR-Linac System
B Lewis1,2*, A Guta1, J Shin1,3, Z Ji1, J Kim3, T Kim1, (1) Washington University in St. Louis, St. Louis, MO, (2) UT MD Anderson Cancer Center, Houston, TX, (3) Yonsei University College of Medicine, Seoul, ,KR
SU-K-BRC-4Towards Online Intra-Fraction Treatment Adaptation: Real-Time Dose Estimation of MLC Tracked MR-Guided Radiotherapy
E Persson*, E Goodwin, B Eiben, A Wetscherek, S Nill, U Oelfke, Joint Department of Physics, The Royal Marsden Hospital and The Institute of Cancer Research, Sutton, UK
WE-C1000-IePD-F2-4Dynamic 2D Cine From Beam Eye’s View (BEV) with Projected Tumor Volume for MR-Guided Radiotherapy
X Nie1, G Li2, J Jeong2*, (1) University of Kentucky, Lexington, KY, (2) Memorial Sloan Kettering Cancer Center, New York, NY
WE-C930-IePD-F5-2Improving Tumor Tracking Accuracy During MR-Guided Radiotherapy Using Pre-Trained Super-Resolution Neural Networks
P Liu1,2*, D Waddington1,2, J Grover1, P Keall1,2 (1) ACRF Image X Institute, Faculty of Medicine and Health, The University of Sydney, NSW, AU (2) Department of Medical Physics, Ingham Institute of Applied Medical Research, NSW, AU
WE-C930-IePD-F5-3Deep Learning Based Cine-MR Image Prediction and Analysis for Abdominal Motion
J Weng1*, S Bhupathiraju2, T Samant3, A Dresner4, J Wu1, S Samant1, (1) Department of Radiation Oncology,University of Florida, Gainesville, FL (2) Department of Computer & Information Science & Engineering, University of Florida, Gainesville, FL (3) UF Research Computing, University of Florida, Gainesville, FL (4) Philips Healthcare

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