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Taxonomy: IM/TH- image Segmentation: MRI

BReP-SNAP-I-5	An Empirical Comparison of Weka Classifiers for Outcome Prediction Using An Imaging Habitats Definition and Feature Extraction Method On MRI Q Han1*, R Palm2, K Latifi2, E Moros2, A Naghavi2, G Zhang2, (1) University of South Florida, Tampa, FL, (2) H. Lee Moffitt Cancer Center, Tampa, FL
BReP-SNAP-I-7	Assessment of the Perfusion Variation After Radiotherapy for Brain Metastasis Using MR 3D ASL Perfusion Imaging C Hou1*, G Gong2, Y Yin3, (1) Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, ShanDong, CN, (2) Shandong Cancer Hospital Affiliated to Shandong University, Jinan, CN (3) Shandong Cancer Hospital Affiliated to Shandong University, Jinan, ,CN
BReP-SNAP-I-8	B0 Variation From Ferromagnetic Gantry Rotation H Gach*, A Curcuru, D Yang, O Green, S Mutic, T Kim, Washington University in St. Louis, St. Louis, MO
BReP-SNAP-I-22	Imaging the Metabolic Evolution of Glioblastoma Throughout Tumor Regression Following Radiotherapy to the Point of Relapse with Hyperpolarized Magnetic Resonance Imaging T Salzillo*1,2, J Gumin1, J Lee1, N Zacharias1, F Lang1,2, P Bhattacharya1,2, (1) University of Texas M.D. Anderson Cancer Center, Houston, TX (2) MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX
BReP-SNAP-I-29	Investigating Using Water Inversion Recovery (IR) to Resolve the Olefinic Resonance From Water in Breast In Vivo with Magnetic Resonance Spectroscopy at 3T CJ Fallone1*, A Yahya1,2, (1) Department of Oncology, University of Alberta, Edmonton, AB, CA, (2) Department of Medical Physics, Cross Cancer Institute, Edmonton, AB, CA
BReP-SNAP-I-40	Predicting Tumor Displacement From Intraoperative Magnetic Resonance Imaging Using Viscoelastic Finite Element Biomechanical Modelling A Lesage*, M Chen, A Sen, G Cazoulat, J Weinberg, K Brock, UT MD Anderson Cancer Center, Houston, TX
BReP-SNAP-I-45	Segmented Multislice Acquisition for Motion-Insensitive Super Resolution Multislice T2-Weighted Fast-Spin-Echo Imaging S Kargar1,2*, E Borisch2, A Froemming2, R Grimm2, A Kawashima3, B King2, E Stinson2, S Riederer2, (1) University of Wisconsin-Madison, Madison WI, (2) Mayo Clinic, Rochester MN (3) Mayo Clinic, Scottsdale AZ
BReP-SNAP-M-1	3D Dose Predictions and Plan Quality Assessment in MRI Guided Online Plan Adaptation Using Artificial Neural Network (ANN) Models D Yang*, A Thomas, Y Fu, H Gach, H Li, Washington University in St. Louis, St. Louis, MO
BReP-SNAP-M-2	3D Intrafraction Assessment of Pelvis and Abdominal Gastrointestinal Peristalsis in MR-Guided Online Adaptive Radiotherapy (MRgoART) K Mittauer1*, R Herrera2, M Chuong1, T Romaguera1, D Alvarez1, D Doty1, J Bryant2, A Bone1, R Kotecha1, M Hall1, N Kalman1, M Mehta1, J Contreras1, A Gutierrez1, (1) Miami Cancer Institute, Miami, FL, (2) Florida International University, Miami, FL
BReP-SNAP-M-12	A Novel Multi-Path 3D Dense-UNet for Improving Automatic Segmentation of the Glioblastoma GTV On Multi-Modal MR Images J Lewis1*, K Singhrao2, Y Yang2, X Qi2, D Ruan2, J Fu2, (1) Cedars-Sinai Medical Center, Beverly Hills, CA, (2) Department of Radiation Oncology, UCLA, Los Angeles, CA
BReP-SNAP-M-26	Auto-Segmentation of Pelvic OARs On MRI Multi-Sequence Using An Fused-Unet Zesen Cheng1,2, Tianyu Zeng1,2, Yimei Liu1, Lijuan Lai2, Xin Yang1*, Sijuan Huang1, (1) Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, 510060, China, (2) Department of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, 510641, China
BReP-SNAP-M-29	Branch-UNet for Intraprostatic Lesion Segmentation in Multi-Parametric MRI Images for Boosting Radiotherapy of Prostate Cancer Y Chen*, L Xing, H Bagshaw, M Buyyounouski, B Han, Stanford Univ School of Medicine, Stanford, CA
BReP-SNAP-M-35	Characterization of Diffusion Weighted MRI and Apparent Diffusion Coefficient Calculation On a Low Field MR-LINAC Radiotherapy System at Multiple Gantry Angles B Lewis1*, A Guta1, S Mackey2, H Gach1, S Mutic1, O Green1, T Kim1, (1) Washington University School of Medicine in St. Louis, Saint Louis, MO, (2) Barnes Jewish Hospital, Saint Louis, MO
BReP-SNAP-M-41	Comparison and Validation of Distortion Correction On a Low-Field MR-Guided Radiotherapy System Y Gao*, J Pham, A Kalbasi, A Raldow, P Hu, Y Yang, University of California, Los Angeles, Los Angeles, CA
BReP-SNAP-M-42	Comparison of Accuracy and Performance of Monte Carlo Dose Calculations Involving Magnetic Fields: ARCHER VS. TOPAS L Mao1*, K Sheng2, Q Cheng3, H Yang3, J Wang4, X Pei1, X Xu1,3, (1) University Of Science And Technology Of China, Hefei, CN, (2) University Of Carlifornia, Los Angeles, CA, (3) Rensselaer Polytechnic Institute,Troy,NY,(4) MD Anderson Cancer Center, Houston, TX,
BReP-SNAP-M-47	CycleGAN Based Transfer Learning for Synthesizing CT Image From MR Image W Li123*, T Bai1, D Nguyen1, A Owrangi1, S Kazemifar1, Y Li23, J Xiong2, Y Xie2, S Jiang1, (1) UT Southwestern Medical Center, Dallas, Texas, (2) Shenzhen Institutes Of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, (3) Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China
BReP-SNAP-M-51	Deep Learning-Based Deformable Image Registration Method and Multiple Reference Registration Strategy for Tumor Target Tracking in 2D Cine MRI y zhang*, T Mazur, X Wu, H Li, H Gach, D Yang, Washington University in St. Louis, St. Louis, MO
BReP-SNAP-M-63	Dosimetric Predictors for Volumetric Liver Deformation and Change in Liver Function After SBRT for Hepatocellular Carcinoma: An In-Vivo Assessment Based On Longitudinal Magnetic Resonance Imaging P Brodin*, A Correa De Sousa, H Nash, J Tang, W Tome, N Ohri, S Kalnicki, M Garg, C Guha, R Kabarriti, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY
BReP-SNAP-M-72	Factors Contributing to Geometrical Accuracy in Online MRI-Linac Guided Brain Radiotherapy M Ruschin1, 2*, C Mccann1, 2, J Stewart1, P Maralani3, M Campbell4, A Kim1, 2, Y Lee1, 2, A Carty4, C Tseng2, 4, A Sahgal2, 4, B Keller1, 2, (1) Sunnybrook Odette Cancer Centre, Department of Medical Physics, Toronto, ON, CA, (2) University of Toronto, Department of Radiation Oncology, Toronto, ON, CA, (3) Sunnybrook Health Sciences Centre, Department Of Medical Imaging,(4) Sunnybrook Odette Cancer Centre, Department Of Radiation Oncology
BReP-SNAP-M-78	Gold Fiducial Marker Visualization with Multifrequency Reconstruction for Frequency-Modulated BSSFP Q Peng1*, L Goddard2, C Wu3, S Hsu2, Wolfgang Tome2, (1) Radiology, Montefiore Medical Center, Bronx, NY, (2) Radiation Oncology, Montefiore Medical Center, Bronx, NY, (3) Philips Healthcare, Andover, MA
BReP-SNAP-M-94	Interfractional Motion Is Not a Predictor of Delivery Accuracy in Liver Stereotactic Body Radiation Therapy S Kuznetsova1*, R Sinha2, N Ploquin2, K Thind2, (1) University of Calgary, Calgary, AB, CA, (2) Tom Baker Cancer Centre, Calgary, AB, CA
BReP-SNAP-M-95	Inter-Vendor Compatibility and Transfer Learning for MR-Based Synthetic CT Deep Learning Models for Domain Adaptation P Klages*, N Tyagi, H Veeraraghavan, Memorial Sloan-Kettering Cancer Center, New York, NY
BReP-SNAP-M-101	Monte Carlo Investigation of the Radio-Enhancement Effects Produced by a Gadolinium-Based Nanoparticle (AGuIX) R Maschmeyer1*, H Byrne1, A McNamara2, G Le Duc3, O Tillement3,4, F Lux3,4,5, Z Kuncic1, (1) The University of Sydney, Sydney, Australia, (2) Massachusetts General Hospital & Harvard Med. Sch., Boston, MA, (3) NH TherAguix, Lyon, France, (4) Universite Claude Bernard Lyon 1, Lyon, France, (5) Institut Universitaire de France, France
BReP-SNAP-M-104	Multicenter Characterization of MRIs Used for Radiation Therapy: The Collaborative Quality Assurance Program L Conroy1*, C Foottit2, B Zhang1,3, A Elzibak4, R Hunter5, P Rapley6, J Kraus Himmelman7, E Gutierrez7, T Tadic1, A McNiven1, D Letourneau1, (1) The Princess Margaret Cancer Centre, University Health Network, Toronto, ON, CA, (2) The Ottawa Hospital, Ottawa, ON, CA, (3) Stronach Regional Cancer Centre, Newmarket, ON, CA (4) Sunnybrook Health Sciences Centre, Odette Cancer Centre, Toronto, ON, CA, (5) Juravinski Cancer Centre, Hamilton, ON, CA, (6) Thunder Bay Regional Health Sciences Center, Thunder Bay, ON, CA, (7) Ontario Health (Cancer Care Ontario), Toronto, ON, CA
BReP-SNAP-M-121	Radiomic Features Combined with Hybrid Machine Learning Robustly Identify Parkinson Disease Subtypes M Salmanpourpaeenafrakati1,2 M Shamsaei2, A Saberi3, G Hajianfar4, H Soltanian-zadeh5, A Rahmim1*, (1) Amirkabir University Of Technology,Tehran ,Iran,(2) University of British Columbia, BC cancer, Vancouver, BC, CA,(3) Islamic Azad University,Tehran ,Iran,(4) Rajaie Cardiovascular Medical And Research Center,Tehran ,Iran,(5) Henry Ford Health System,Detroit, MI, USA
BReP-SNAP-M-123	Rapid Commissioning of An MR-Linac with Hydrostatic and Cherenkov Imaging Techniques R Zhang*, D Alexander, B Williams, L Gates, F Rafie, N Nelson, P Bruza, B Pogue, B Zaki, D Gladstone, Dartmouth-Hitchcock Med. Ctr., Lebanon, NH
BReP-SNAP-M-126	Real-Time Adaptive Dose Scaling During MLC-Tracking On the Elekta Unity MR-Linac PTS Borman*, PL Woodhead, P Uijtewaal, SL Hackett, JJW Lagendijk, BW Raaymakers, MF Fast, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, NL
BReP-SNAP-M-136	Simultaneous Multi-Slice Accelerated 4D-MRI for the Unity MR-Linac K Keijnemans*, PTS Borman, BW Raaymakers, MF Fast, Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
BReP-SNAP-M-140	Synthetic Digital Reconstructed Radiograph for MR-Only Robotic Radiosurgery with Deep Convolutional Adversarial Networks G Szalkowski1*, D Nie1, T Zhu1, M Dance1, X Xu1, A Wang1, T Royce1, R Chen2, D Shen1, J Lian1, (1) University of North Carolina at Chapel Hill, Chapel Hill, NC, (2) University Of Kansas
BReP-SNAP-M-142	Towards Best Practice Guidelines for Reference Dosimetry in a 1.5 T MR-Linac V Iakovenko1*, B Keller1, H Nusrat1, A Sahgal2, A Sarfehnia1, (1) Sunnybrook Health Sciences Centre, Odette Cancer Centre, Department of Medical Physics; University of Toronto, Department of Radiation Oncology, Toronto, ON, CA, (2) Sunnybrook Health Sciences Centre, Odette Cancer Centre, Department of Radiation Oncology, ON, CA
BReP-SNAP-M-144	Tumor Position Variation in Gating Window Using Cine MRI of 0.35T MRgRT A Guta1*, B Lewis1,Z Ji1 D Lam1,T Mazur1, S Mutic1 and T Kim1 (1) Washington University in St. Louis, St Louis, Mo
BReP-SNAP-M-150	Value Proposition of Online Adaptive Radiotherapy: Plan Fidelity and Deliverability K Mittauer1*, A Shepard2, L Bayouth2, J Bayouth2, (1) Miami Cancer Institute, Miami, FL, (2) University of Wisconsin-Madison, Madison, WI, (2) University of Wisconsin-Madison, Madison, WI (2) University of Wisconsin-Madison, Madison, WI
BReP-SNAP-M-151	Variable Margin Expansion to Account for MR Image Distortion in Treatment Planning R Mumme*, C Nguyen, A Olanrewaju, P Castillo, J Wang, X Wang, C Cardenas, L Court, M Martel, J Yang, University of Texas MD Anderson Cancer Center, Houston, TX
BReP-SNAP-T-42	Motion Management and Dose Reconstruction for MRI-Guided Cardiac Radiosurgery S Ehrbar*, M Chamberlain, S Tanadini-Lang, L Wilke, M Mayinger, N Andratschke, University Hospital Zurich And University Of Zurich
BReP-SNAP-T-53	Efficient Hybrid Scatter Solution for Deterministic MRIgRT Dose Calculations R Yang1*, D Santos1, B Fallone1, J St-Aubin2, (1) Cross Cancer Institute, Edmonton, AB, Canada, (2) University of Iowa, Iowa City, IA
MO-CD-TRACK 1-6	Single-LIne DrivEn Real-Time (SLIDER) MR Multi-Contrast Imaging Using Pre-Learned Spatial Subspace P Han*, F Han, Z Hu, D Li, A Christodoulou, Z Fan, Cedars-Sinai Medical Center, Los Angeles, CA
MO-F-TRACK 1-1	BEST IN PHYSICS (IMAGING): Density-Weighted Concentric Ring Trajectory Using Simultaneous Multi-Slice Acceleration: 3D Magnetic Resonance Imaging at 3T P Xia1*, X Zhou2, M Chiew3, M Thomas4, U Dydak5, U Emir6, (1) Purdue University, West Lafayette, IN, (2) Purdue University, ,,(3) Oxford University, ,,(4) UCLA, Los Angeles, CA, (5) Purdue University, West Lafayette, IN, (6) Purdue University,
MO-F-TRACK 1-2	Improved Repeatabilityof Intra and Extra Myocellular Lipids Quantification Using Diffusion Tensor Imaging (DTI) and Dixon Imaging Guided Proton MR Spectroscopy in Skeletal Muscle J Zhang1,2, C Arena2, A Ajala3, E Buko3, M Dotson2, R Muthupillai2,3*, (1) Department of Medical Physics and Radiation Oncology,University of Vermont Medical Center, Burlington, VT, (2)Department of Physics and Interventional Radiology,CHI St Luke's Health Baylor St Luke's Medical Center, Houston,TX(3) Department of Physics, University of Houston, Houston, TX,
MO-F-TRACK 1-4	Fully Balanced SSFP for MRI-Assisted Radiosurgery (MARS) Without An Endorectal Coil: A Prospective Patient Imaging Study J Sanders1*, S Frank1, A Venkatesan1, C Levitt2, T Bathala1, R Kudchadker1, C Tang1, T Bruno1, C Starks1, E Santiago1, M Wells2, C Weaver2, J Ma1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Piedmont Atlanta Hospital, Atlanta, GA
MO-F-TRACK 1-5	Functional Changes of Lung in Young E-Cigarette Users Identified by Hyperpolarized Gas MRI K Qing1,2*, H Mu 2,I Vergalasova1, X Feng2,3, H Mu 2,NJ Tustison 2, JF Mata 2, JP Mugler, III 2, YM Shim 2, (1) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (2) University of Virginia, Charlottesville, VA (3) Carina Medical, LLC, Lexington, KY
MO-F-TRACK 1-7	Multi Time-Point Radiomics Data for Pathological Complete Response (pCR) Prediction After Neo-Adjuvant Chemoradiation for Locally Advanced Rectal Cancer M diMayorca1*, Y Zhang2, L Shi3, X Sun4, S Jabbour5, Y Zhang6, N Yue7, K Nie8, (1) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (2) University of California Irvine, Irvine, CA, (3) Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, CN, (4) Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, CN, (5) Rutgers Cancer Institute Of New Jersey, New Brunswick, NJ, (6) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (7) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (8) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
MO-F-TRACK 2-1	BEST IN PHYSICS (MULTI-DISCIPLINARY): A Deep Learning Cardiac Substructure Pipeline for MR-Guided Cardiac Applications E Morris1,2*, A Ghanem3, M Dong4, S Zhu1, M Pantelic5, C Glide-Hurst1,2, (1) Department of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI (2) Department of Radiation Oncology, Wayne State University School of Medicine, Detroit, MI (3) Department of Clinical Oncology, Alexandria University, Alexandria, Egypt (4) Department of Computer Science, Wayne State University, Detroit, MI (5) Department of Radiology, Henry Ford Cancer Institute, Detroit, MI
PO-GeP-I-11	A Multifunction Software Tool for ACR MRI QC Evaluation and Accreditation Program J-X Wang*, W T Sobol, University of Alabama at Birmingham, Birmingham, AL
PO-GeP-I-13	A Novel Linear Model for Quantitative Magnetic Resonance Imaging Based On Spin Echo Sequence: A Feasibility Study S Li*, Y Zhang, H Wu#, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, BeijingCN, #corresponding author: Hao Wu; email: hao.wu@bjcancer.org
PO-GeP-I-16	A Preliminary Study of the Geometric Distortion in Diffusion-Weighted Imaging of Magnetic Resonance Imaging Simulation x liu, J Qiu, Peking Union Medical College HospitalBeijingCN
PO-GeP-I-17	A Rapid Dual VENC Scheme for Velocity-To-Noise Ratio (VNR) Optimization in Phase Contrast Magnetic Resonance Imaging A Ajala1*, J Zhang2, E Buko1, B Cheong3, P Hor1, R Muthupillai3, (1) University of Houston,Houston,TX,(2) University of Vermont Medical Center, Burlington, VT, (3) Baylor St. Luke's Medical Center, Houston, TX
PO-GeP-I-18	A Robust Real-Time Acceleration and Reconstruction Scheme for Rapid MRI Using Principal Component Analysis M Wright*, B Dietz, E Yip, J Yun, B G Fallone, K Wachowicz, Medical Physics, University of Alberta, Cross Cancer Institute, Edmonton, AB, CA
PO-GeP-I-20	A Sparse Sampling RF Pulse Sequence for 3D 13C Metabolic MR Chemical Shift Imaging J-X Wang1*, (1) University of Alabama at Birmingham, Birmingham, AL
PO-GeP-I-28	Altered BNST-Insula Functional Connectivity in Pediatric Bipolar Disorder W Cao1, Y Guo1, D Cui1, Q Jiao1*, W Gao2, L Su3, G Lu4, (1)Department of Radiology, Shandong First Medical University &Shandong Academy of Medical Sciences, Tai'an, 271016, China, (2) Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine, Zhejiang Hangzhou, 310003, China, (3) Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Central South University, Changsha, 410011, China, (4) Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, Nanjing, 210002, China,
PO-GeP-I-29	Altered Volume of Hippocampus Subfield in Pediatric Bipolar Disorder Patients Revealed by Structural MRI L Kuang1, Y Guo2, D Cui3, Q Jiao4*, W Cao5, W Gao6, L Su7, G Lu8, (1) ,,,(2) Shandong First Medical University, ,,(3) Shandong First Medical University, Taian, 37, CN, (4) Shandong First Medical University, Taian, 37, CN, (5) Shandong First Medical University &Shandong Academy of Medical Sciences, Tai'an, 37, CN, (6) Zhejiang University School of Medicine, ,,CN, (7) Key Laboratory of Psychiatry and Mental Health of Central South University, ,,CN, (8) Clinical School of Medical College, Nanjing University, ,,CN
PO-GeP-I-32	An Optimised Diffusion MRI Technique To Study Neuron Microstructure N Arezza*, D Tse, C Baron, Western University, London, Ontario, CA
PO-GeP-I-34	Apparent Transverse Relaxation Times of Omega-3 and Non-Omega-3 Fat Methyl Protons in Mouse Adipose Tissue at 9.4 T CJ Fallone1*, AG Tessier1,2, CJ Field3, A Yahya1,2, (1) Department of Oncology, University of Alberta, Edmonton, AB, CA, (2) Department of Medical Physics, Cross Cancer Institute, Edmonton, AB, CA, (3)Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, AB, CA
PO-GeP-I-37	Automated ACR Image Analysis for MR Imaging for All Seven Tests C Burton*, Boston Children's Hospital, Boston, MA
PO-GeP-I-41	Building 3D Dynamic Keyhole Library with Compressive Sensing and Parallel Imaging Reconstruction D Lam*, B Lewis, H Gach, S Mutic, T Kim, Washington University in St. Louis, St. Louis, MO
PO-GeP-I-48	Characterization of Liver and Pancreatic Tumor Motion Using Real-Time Planar Cine MR Images D Gunasekara1*, J Darko1, E Osei1, B Maraghechi2, T Mazur2, H Li2, (1) Grand River Regional Cancer Center, Kitchener, ON, CA, (2) Washington University School of Medicine, St. Louis, MO, USA
PO-GeP-I-50	Chemical Exchange Saturation Transfer MRI: Sensitive to Intracellular PH Change Over Time in a Rat Model of Brain Cancer M Mozaffari*, N Nystrom, A Li, M Bellyou, T Scholl, R Bartha, Robarts Research Institute, Western University, London, ON, Canada
PO-GeP-I-61	Comparison of Radiomic Feature Variability Between Different MR Pulse Sequences in Brain Metastases D Mitchell*, S Buszek, B Tran, H Liu, S Ferguson, C Chung, UT MD Anderson Cancer Center, Houston, TX
PO-GeP-I-76	Design of a Parallel Transmit System for TRASE Radiofrequency-Encoded MRI H Sun*, J Sharp, University of Alberta - Cross Cancer Institute, Edmonton, Alberta, CA
PO-GeP-I-86	Diagnosis of White Matter Hyperintensities Using Brain Morphometry and Support Vector Machine L Zheng, W Lu*, W Lu, L Shi, J Qiu, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, CN,
PO-GeP-I-89	Distinguishing Triglyceride and Diglyceride Content with Magnetic Resonance Spectroscopy at 3 T E. Saive1, L. Fairgrieve-Park1, A. Yahya1,2*, (1) Department of Oncology, University of Alberta, Edmonton, AB, Canada (2) Department of Medical Physics, Cross Cancer Institute, Edmonton, AB, Canada
PO-GeP-I-97	Dynamic Oxygen-Enhanced MRI (dOE-MRI): A Method to Detect Tumour Oxygenation Changes After VEGF-Ablation Therapy F Moosvi1*, JHE Baker2, AI Minchinton2, SA Reinsberg1, (1) The University of British Columbia, Vancouver, BC, CA, (2) BC Cancer Research Centre, Vancouver, BC, CA
PO-GeP-I-103	EPI Distortion Correction Using Log-Demons Method in MR Diffusion Tensor Images T Arsenault1*, F Yin1, J Chino 1,O Craciunescu1, Z Chang1, (1) Duke University, Durham, NC
PO-GeP-I-120	Fast DTI Using Deep Learning Based On Cartesian and Non-Cartesian Undersampling Schemes Z Gao1*, T Arsenault2, Z Chang3, (1) Duke Kunshan University, Suzhou, Jiangsu, China (2) Duke University, Durham, NC (3) Duke University Medical Center, Durham, NC
PO-GeP-I-127	Gray Matter-Based Radiomics and Machine Learning for the Diagnosis of Attention-Ddeficit/Hyperactivity Disorder S Zhao1*, Z Mu2, H Zhao3, J Qiu3, W Lu3, W Lu3, L Shi3, (1) Beijing Anding Hospital, Capital Medical University, Beijing, CN, (2) The Second Affiliated Hospital Of Shandong First Medical University, Taian, CN, (3) Shandong First Medical University & Shandong Academy Of Medical Sciences, Taian, CN
PO-GeP-I-134	Imaging Biomarker Analysis for Grading Malignant Gliomas Based On a Few Conventional Magnetic Resonance Imaging Sequences T Nakamoto1*, W Takahashi1, A Haga2, S Takahashi1, S Kiryu3, K Nawa1, T Ohta1, S Ozaki1, Y Nozawa1, S Tanaka1, A Mukasa4, K Nakagawa1, (1) The University of Tokyo Hospital, Tokyo, JP, (2) Tokushima University, Tokushima, JP, (3) International University of Health and Welfare Hospital, Nasushiobara, JP, (4) Kumamoto University, Kumamoto, JP
PO-GeP-I-142	Integrating Gross Tumor Volume and Margin Features to Predict Treatment Response for Locally Advanced Rectal Cancer Patients M diMayorca1*, Y Zhang2, L Shi3, X Sun4, S Jabbour5, Y Zhang6, N Yue7, K Nie8, (1) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (2) University of California Irvine, Irvine, CA, (3) Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, CN, (4) Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, CN, (5) Rutgers Cancer Institute Of New Jersey, New Brunswick, NJ, (6) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (7) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (8) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
PO-GeP-I-143	Inter-Scanner T1 and T2 Mapping Evaluation Using Multiple MRI Phantoms at 3T J Yu*, S Fahrenholtz, Y Zhou, W Sensakovic, A Panda, Mayo Clinic, Phoenix, AZ
PO-GeP-I-144	Investigating in Vivo PH Mapping Using Hyperpolarized 31-Phosphorus Magnetic Resonance Imaging L Smith1*, C Mckenzie2, (1) ,London, ON, CA, (2) ,
PO-GeP-I-170	Predicting the Severity of White Matter Hyperintensities Using Structural MRI and Machine Learning W Lu1*, H Li2, L Zheng1, L Shi1, W Lu1, J Qiu1, (1) Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, CN, (2) Shandong University Of Science And Technilogy, Qingdao, Shandong, CN
PO-GeP-I-173	Prospective Study Using Delta-Radiomics and MRI Biomarkers to Assess Tumor Response of the Dominant Intraprostatic Lesion (DIL) at Multiple Treatment Time Points M Dumas*, E Mohamed, E Carver, A Feldman, M Pantelic, D Hearshen, B Movsas, I Chetty, N Wen, Henry Ford Health System, Detroit, MI
PO-GeP-I-182	Quantitative MR Imaging Features Associated with Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients J Jimenez*, A Abeer, N Elshafeey, J Yung, J Hazle, G Rauch, UT MD Anderson Cancer Center, Houston, TX
PO-GeP-I-186	Reducing CSF Contamination in Cortical T2 Using a Fluid-Suppressed Dual-Echo Pulse Sequence R Gabr1*, M Yang2, P Narayana1, (1) University of Texas Health Science Center at Houston, Houston, TX, (2) Texas A&M University, College Station, TX
PO-GeP-I-198	Structural MRI-Based Radiomics and Machine Learning for the Classification of Attention-Deficit/Hyperactivity Disorder Subtypes C Lin1, J Qiu2, K Hou3, W Lu3, W Lu3, X Liu3, J Qiu3, L Shi3*, (1) Taian Disabled Soldiers' Hospital Of Shandong Province, Taian, CN, (2) Taian Municipal Center For disease control and prevention, Taian, CN, (3) Shandong First Medical University & Shandong Academy Of Medical Sciences, Taian, CN
PO-GeP-I-201	Super Resolution Reconstruction of T2-Weighted Knee MRI From Single-Plane Low Resolution Interleaved Acquisitions R Nosrati1,2, O Afacan1,2*, A Gholipour1,2, A Tsai1,2, S Warfield1,2, (1) Harvard Medical School, Boston, MA, (2) Boston Children's Hospital, Boston, MA
PO-GeP-I-205	Temperature Dependence of T1, T2 and T1rho in Agarose Phantoms P Hardy1*, X Li2, (1) University of Kentucky, Lexington, KY, (2) Cleveland Clinic Foundation,
PO-GeP-I-212	The Relationship of T1rho and T2 to Muscle Health and Injury P Hardy*, A Andersen, C Fry, B Noehren, University of Kentucky, Lexington, KY
PO-GeP-I-220	Trigeminal Nerve Track Based Tractography After Gamma Knife Radiosurgery R Juh1*, J Han2, C Kim3, C Oh4, T Suh5, (1) Seoul National University Bundang Hospital, Gyeonggi-do, ,KR, (2) Seoul National University Bundang Hospital Gamma Knife Center, Seongnam, ,KR, (3) Seoul National University Bundang Hospital Gamma Knife Center, Seongnam, ,KR, (4) Seoul National University Bundang Hospital Gamma Knife Center, Seongnam, ,KR, (5) Catholic Univ Medical College, Seoul, ,KR
PO-GeP-I-225	Using Pattern Recognition to Assess Tumour Perfusion in High Grade Soft Tissue Sarcoma D Patel1*, Z Ahmed1, IR Levesque1;2, (1) McGill University, Montreal, QC, CA, (2) Research Institute of the McGill University Health Centre, Montreal, QC, CA
PO-GeP-I-234	Visualization of Meniscus with 3D Axial Reconstructions E Lavdas1*, M Papaioannou2, A Tsikrika3, E Pappas2, A Tsagkalis2, D Paridis2, V Roka4, S Stathakis5, P Mavroidis6, (1) University of West Attica, Athens, GR, (2) Animus Kyanoys Stavros, Larissa, GR, (3) General University Hospital of Larissa, Larissa, GR, (4) Health Center of Farkadona, Trikala, GR, (5) Mays Cancer Center - MD Anderson Cancer Center, San Antonio, TX, (6) Univ North Carolina, Chapel Hill, NC
PO-GeP-I-235	Weisskoff Analysis Can Infer False Correlations in Functional Connectivity Analysis with Resting-State FMRI H Chen1*, M Yeh2, P Hou1, R Stafford1, H Liu1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) National Tsing Hua University, Hsinchu, TW
PO-GeP-M-17	A Hierarchical 3D U-Net for Brain Tumor Substructure Segmentation J Yang1, R Wang1,2,3, Y Weng2,3*, L Chen2,3, Z Zhou4, (1) School of Artificial Intelligence, Xidian University, Xi'an, CN. (2) UT Southwestern Medical Center, Dallas, TX. (3) Medical Artificial Intelligence and Automation (MAIA) Lab, University of Texas Southwestern Medical Center, Dallas, TX. (4) University Of Central Missouri, Warrensburg, MO.
PO-GeP-M-23	A Multi-Observer Study Investigating the Effectiveness of Prostatic MpMRI to Dose Escalate Corresponding Histologic Lesions Using High Dose Rate Brachytherapy C. Smith1*, D. Hoover1,2, K. Surry1,2, D. D'Souza3, D. W. Cool1,3, Z. Kassam1,3, M. Bastian-Jordan4, J. A. Gomez1, M. Moussa1, J. L. Chin3, S. Pautler3, G. S. Bauman1,2,3, A. Ward1,3, (1) University of Western Ontario, London, ON, CA, (2) London Regional Cancer Program, London, ON, CA,(3) London Health Sciences Centre,(4) University Of Queensland, Queensland, Australia
PO-GeP-M-36	A Pilot Study for Using Non-Heating Volunteer Experiments as a Surrogate for In-Patient MR Thermometry Reproducibility During MR Hyperthermia I. VilasBoas-Ribeiro1*, S. Curto1, M. Franckena1, G. C. van Rhoon1, M. M. Paulides 1,2 , (1) Department of Radiation Oncology, Erasmus MC - Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands, (2) Department of Electrical Engineering, Technical University of Eindhoven, Eindhoven, The Netherlands
PO-GeP-M-37	A Practical Method to Automatically Delineate Gas Regions for MR-Guided Online Adaptive Radiotherapy of Abdominal Tumors E Ahunbay*, X Li, Medical College of Wisconsin, Milwaukee, WI
PO-GeP-M-38	A Simple Statistical Method to Reduce the Number of Patient-Specific QA Measurements for MR-Linac Adaptive Fractions A Kim1*, M Ruschin1, C Mccann1, P Au1, A Singh1, A Sahgal2, B Keller1, (1) Sunnybrook Odette Cancer Centre, Department of Medical Physics, Toronto, ON, CA, (2) Sunnybrook Health Sciences Centre, Odette Cancer Centre, Department of Radiation Oncology, CA
PO-GeP-M-42	Abdominal Synthetic CT Reconstruction Using Intensity Projection Prior for MRI-Only Adaptive Radiotherapy S Olberg1,2*, J Chun1,3, B Choi1,3, I Park1,3, H Kim1, T Kim1, J Kim3, O Green1, J Park1,2,3, (1) Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, (2) Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, (3) Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, KR
PO-GeP-M-52	An AI-Based Tumor Auto-Contouring Algorithm for Non-Invasive Intra-Fractional Tumor-Tracked Radiotherapy (nifteRT) On Linac-MR J Yun1*, E Yip2, Z Gabos3, N Usmani4, D Yee5, K Wachowicz6, B Fallone7, (1) (2) (6) (7) Department of Medical Physics, Cross Cancer Institute, Edmonton, AB, CA, (3) (4) (5) Department of Radiation Oncology, Cross Cancer Institute, Edmonton, AB, CA
PO-GeP-M-64	Application of Multiparametric MRI Strategically Acquired Gradient Echo (STAGE) Imaging for Radiotherapy Planning E Florez*, J Storrs, R Hamidi, A Fatemi, University of Mississippi Medical Center, Jackson, MS
PO-GeP-M-65	ArcCHECK for Machine Commissioning and Patient Specific QA: Which Phantom Should Be Used? Y Tian*, K Zhang, K Men, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing,CN,
PO-GeP-M-69	Assessment of Bone Electron Density Effects On Dose Calculation and Optimization Accuracy for MRI-Only Treatment Planning for Cervical Carcinoma in 1.5 T MR-Linac S Ding1,2*, H Liu1,2, Y Li1,2, B Wang1,2, B Liu1,2, X Qi1,2, X Cao1,2, X HUANG1,2, (1) Sun Yat-sen University Cancer Center, Guangzhou,CN, (2) State Key Laboratory of Oncology in South China,Guangzhou,CN
PO-GeP-M-72	Assessment of Need for MR Guidance in Adaptive RT A Sethi*, E Omari, J Ingram, K Stoeckigt, T Thomas, J Roeske, T Refaat, R Wynn, Loyola Univ Medical Center, Maywood, IL
PO-GeP-M-82	Automatic Segmentation of the Trigeminal Nerve On MRI Using Deep Learning K Mulford*, S Ndoro, S Moen, Y Watanabe, PF Van De Moortele, University of Minnesota, Minneapolis, MN
PO-GeP-M-103	Cluster Analysis On Longitudinal Data of Parkinson Disease Subjects M Salmanpourpaeenafrakati1,2*, A Saberi3, G Hajianfar4, M Shamsaei1, H Soltanian-zadeh6, A Rahmim1, (1) University of British Columbia, BC cancer, Vancouver, BC, CA, (2) Islamic Azad University,Tehran ,Iran ,(3) Rajaie Cardiovascular Medical And Research Center, Islamic Azad University,Tehran ,Iran,(4) Amirkabir University Of Technology, Islamic Azad University,Tehran ,Iran,(5) Henry Ford Health System, Detroit, USA
PO-GeP-M-111	Comparison of Cartesian 4 Fps Vs Radial 8 Fps On 0.35T MRI-Linac H Gach1*, T Kim1, B Lewis1, A Price1, A Marko2, D Yang1, S Mutic1, O Green1, (1) Washington University in St. Louis, St. Louis, MO, (2) Barnes Jewish Hospital, Saint Louis, MO
PO-GeP-M-152	Development of a Dose Accumulation Pipeline to Support MR-Guided Adaptive Radiation Therapy D Rusu1,2*, E Morris2,3, C Glide-Hurst2,3, (1) Department of Physics, University of Windsor, Windsor, ON, CA (2) Department of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI (3) Department of Radiation Oncology, Wayne State University School of Medicine, Detroit, MI
PO-GeP-M-153	Development of a No Action Level (NAL) Protocol for Physician Time Management During MRI Guided Online Standard Fractionation Adaptive Radiation Therapy for Head and Neck Cancer S Vedam1*, B McDonald2, J Yang3, P Castillo4, A Sobremonte5, B Lee6, N Hughes7, M Mohammadsaid8, J Wang9, C Fuller10, (1) UT MD Anderson Cancer Center, Houston, TX, (2) ,Houston, TX, (3) MD Anderson Cancer Center, Houston, TX, (4) MD Anderson Cancer Center, Houston, TX, (5) M D Anderson Cancer Center, ,,(6) UT MD Anderson, Houston, TX, (7) MD Anderson Cancer Center, Houston, TX, (8) M D Anderson Cancer Center, ,,(9) MD Anderson Cancer Center, Houston, TX, (10) MD Anderson Cancer Center, Houston, TX
PO-GeP-M-161	Does Daily MRI-Guided Online Re-Planning in Prostate SBRT Improve Dosimetry Compared to Isocenter Shift Adaptation? M Ruschin1,2*, B Keller1,2, J Detsky2,3, A Loblaw2,3, J Stewart1, M Campbell2, A Kim1,2, K Wong2, M Davidson1,2, M Wronski1,2, D Vesprini2,3, C Mccann1,2, (1) Sunnybrook Odette Cancer Centre, Department of Medical Physics, Toronto, ON, CA, (2) University of Toronto, Department of Radiation Oncology, Toronto, ON, CA, (3) Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, Toronto, ON, CA
PO-GeP-M-173	Dosimetric Evaluation of Online Adaptive Planning for Patients with Glioblastoma Multiforme Cancer with MRI at Two Week Intervals D To*, M Liu, I Xhaferllari, D Lack, P Chinnaiyan, D Yan, Beaumont Health, Royal Oak, MI
PO-GeP-M-174	Dosimetric Impact of Magnetic Resonance Imaging Distortion in Photon and Proton Treatment Plans Y Yan1*, J Yang2, F Pirlepesov1, Y Ding2, J Uh1, L Zhao1, T Merchant1, J Wang2, C Hua1, (1) St. Jude Children's Research Hospital, Memphis, TN, (2) MD Anderson Cancer Center, Houston, TX
PO-GeP-M-176	Dosimetric Results for Magnetic Resonance Guided Radiotherapy Using Hybrid Magnetic Resonance/Computed Tomography Compatible Phantom M Kim1,2*, S Lee2, B Choe2, T Suh2, (1) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Yonsei University Health System, Seoul, KR, (2) Department of Biomedical Engineering, Research Institute of Biomedical Engineering, The Catholic University of Korea College of Medicine, Seoul, KR
PO-GeP-M-179	Effect of Field Number and Beam Angle On ERE for Lung Cancers Radiotherapy Planning in 1.5 T MR-Linac S Ding1,2*, H Liu1,2, B Wang1,2, Y Li1,2, Y XIA1,2, X HUANG1,2, (1) Sun Yat-sen University Cancer Center, Guangzhou, ,CN, (2) State Key Laboratory of Oncology in South China. Guangzhou,CN
PO-GeP-M-183	Efficient Acquisition of MR-Linac Commissioning Data Using Cherenkov Projection Imaging D Alexander1*, R Zhang2,3, P Bruza1, B Pogue1,2,3, D Gladstone1,2,3, (1) Thayer School of Engineering, Dartmouth College, Hanover, NH, (2) Geisel School of Medicine, Dartmouth College, Hanover, NH, (3) Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH
PO-GeP-M-186	End-To-End Testing of Adaptive Radiotherapy in the Elekta MR-Linac Utilising 3d Printed Phantoms A Axford1,2*, N Dikaios1, C H Clark2, D Roberts3, P Evans1,2, (1) The Centre for Vision Speech and Signal Processing (CVSSP), University of Surrey, Guildford, Surrey, UK (2) Metrology for Medical Physics(MEMPHYS), National Physical Laboratory, Teddington, UK(3) Elekta Ltd, Linac House, Crawley, UK
PO-GeP-M-196	Evaluating the Performance of a Generative Adversarial Network-Based (GAN-Based) Architecture for Automatic Detection of Fiducial Markers in Prostate MRI-Only Radiotherapy Images K Singhrao1*, J Fu1, D Ruan2, A Mikaeilian2, N Parikh2, A Kishan2, J Lewis3,(1) David Geffen School of Medicine at UCLA, Los Angeles, CA, (2) Dept. of Radiation Oncology, UCLA, Los Angeles, CA, (3) Cedars-Sinai Medical Center, Beverly Hills, CA
PO-GeP-M-203	Evaluation of Markers for Catheter Detection in MRI-Guided Gynecological Brachytherapy E Kaza*, R Cormack, I Buzurovic; Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA
PO-GeP-M-204	Evaluation of MRI Radiomics Feature Robustness Using a Virtual Radiomics Phantom C Ma*, X Wang, K Qing, N Yue, K Nie, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
PO-GeP-M-206	Evaluation of Real-Time Cine Imaging During MLC and Gantry Motion for MR-Guided Radiation Therapy J Kielbasa*, S Meeks, P Kelly, T Willoughby, O Zeidan, A Shah, UF Health Cancer Center at Orlando Health, Orlando, FL
PO-GeP-M-207	Evaluation of Simple MR-Based Online Adaptive Radiotherapy for Prostate Cancer I Xhaferllari*, D Lack, R Levitin, D To, M Liu, J Liang, D Krauss, D Yan, William Beaumont Hospital, Royal Oak, MI
PO-GeP-M-210	Evaluation of T2-Weighted MRI Pulse Sequences for Visualization and Sparing of Urethra with MR-Guided Radiation Therapy (MRgRT) On-Board MRI J Pham*, R Savjani, Y Gao, M Cao, P Hu, D Low, M Steinberg, A Kishan, Y Yang, UCLA, Los Angeles, CA
PO-GeP-M-221	Feasibility of MRI-Only Treatment Planning for Stereotactic Body Radiation Therapy (SBRT) for Prostate Cancer R Nosrati1*, W Lam2,3, M Paudel2,3, A Pejovic-Milic4, G Morton2,3, G Stanisz2,3, (1) Harvard Medical School, Boston Children's Hospital, Boston, MA (2) Sunnybrook Health Sciences Centre, Toronto, ON, Canada (3) University of Toronto, Toronto, ON, Canada, (4) Ryerson University, Toronto, ON, Canada
PO-GeP-M-239	Identifying Robust Radiomic Features Extracted From Images Generated by 0.35T MR-Linac R Ericsson-szecsenyi1*, G Zhang2, G Redler2, K Latifi2, V Feygelman2, M Tomaszewski2, E Moros2, (1) University of Lund, (2) H. Lee Moffitt Cancer Center, Tampa, FL
PO-GeP-M-242	Impact of Gantry, MLC, and Patient Table Power On An MRgRT System B Lewis1*, B Gu1, R Klett2, R Lotey3, O Green1, T Kim1, (1) Washington University School of Medicine in St. Louis, Saint Louis, MO, (2) BJC Healthcare, Saint Louis, MO, (3) ViewRay, Oakwood Village, OH
PO-GeP-M-248	Impact of Respiratory Motion Management with Patient Biofeedback On Diffusion Weighted Imaging of Liver Cancer Patients Pre- and Post-SBRT B Lewis1, S Kim2, T Kim1*, (1) Washington University School of Medicine in St. Louis, Saint Louis, MO, (2) Virginia Commonwealth University, Glen Allen, VA,
PO-GeP-M-253	Improvement of Real-Time Motion Tracking with Daily Optimized Registration of Cine MRI On MR-Linac T Keiper1*, A Tai1, X Chen1, E Paulson1, F Lathuiliere2, S Beriault2, F Hebert2, D Cooper2, M Lachaine2, X Allen Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Elekta, Montreal, QC, CAN
PO-GeP-M-268	Introducing MRI Guidance Into Skin Brachytherapy T Harris*, D O'Farrell, I Buzurovic, S Friesen, P Devlin, Brigham & Women's Hospital, Harvard Medical School, Boston MA
PO-GeP-M-282	Lesion Insertion Tool to Assess PET-MR Attenuation Correction Methods: Matched Contralateral Uptake Lesion Insertions in Pelvis PET-MR Data Y Natsuaki1*, A Leynes1, K Wangerin2, M Hamdi3, A Rajagopal1, R Laforest3, P E Z Larson1, T A Hope1, S St. James1, (1) University of California at San Francisco, San Francisco, CA, (2) GE Healthcare, Waukesha, WI (3) Washington University School of Medicine, Saint Louis, MO
PO-GeP-M-287	Longitudinal Change of T2 Map During MR-Guided SBRT for Pancreatic Cancer X Chen*, H Nasief, E Paulson, E Ahunbay, P Prior, W Hall, B Erickson, X Li, Medical College of Wisconsin, Milwaukee, WI
PO-GeP-M-288	Low Cost MRI Geometric Distortion Phantom Made From Paintballs and Pourable Foam B Rasmussen*, X Du, R Milano, UP Health System - Marquette General Hospital, Marquette, MI
PO-GeP-M-301	MRI Radiomics for Predicting a Poor Prognosis in Patients with GBM P Borges1, J Lizar1, G Viani2, J Pavoni1*, (1) Department of Physics, Faculty of Philosophy, Sciences and Letters at Ribeirao Preto - University of Sao Paulo,BR, (2) Radiotherapy Department, Ribeirao Preto Medical School Hospital and Clinics, University of Sao Paulo, BR
PO-GeP-M-302	MRI Visualization of Applicators for Skin HDR Brachytherapy E Kaza*, R Cormack, P Devlin, I Buzurovic; Dana-Farber/Brigham And Women's Cancer Center, Harvard Medical School, Boston, MA
PO-GeP-M-303	MRI-Only Brain Radiotherapy: Assessing the Dosimetric Accuracy of Synthetic CT Images Generated Using Cycle GAN S Kazemifar1*, A Barragan Montero2, T Bai1, R Timmerman1, Y Park1, M Lin1, S Jiang1, A Owrangi1, (1) UT Southwestern Medical Center, Dalllas, TX, (2) Universite Catholique de Louvain, Brussels, VBR, BE
PO-GeP-M-306	Multi-Modality Imaging Reduces Intra-Observer Variability in GTV Delineation of Sarcomas and Chordomas R Lahoud*, T Marin, F Xing, P Wohlfahrt, M Moteabbed, J Woo, X Ma, K Grogg, Y Chen, C Ma, G El Fakhri, Massachusetts General Hospital, Boston, MA
PO-GeP-M-307	Multiple Resolution Residual Network for Automatic Glioblastoma Segmentation in MRI H Um*, J Jiang, F Tixier, R Young, H Veeraraghavan, Memorial Sloan Kettering Cancer Center, New York, NY
PO-GeP-M-316	Online Adaptive Planning Strategy for 1.5T MR-Linac J Yang*, A Sobremonte, S Vedam, K Brock, A Ohrt, C Fuller, S Choi, A Jhingran, P Castillo, B Lee, J Wang, N Hughes, M Mohammadsaid, P Balter, MD Anderson Cancer Center, Houston, TX
PO-GeP-M-322	Out-Of-Field Radiation Dose Considerations in Partial Breast Irradiation with Elekta Unity MR-Linac - a Feasibility Study M Muruganandham1*, B Lee2, S Vedam3, J Wang4, J Yang5, M Salehpour6, S Shaitelman7, (1) MD Anderson Cancer Center, Sugar Land, TX, (2) UT MD Anderson, Houston, TX, (3) UT MD Anderson Cancer Center, Houston, TX, (4) MD Anderson Cancer Center, Houston, TX, (5) MD Anderson Cancer Center, Houston, TX, (6) M.D. Anderson Cancer Center, Houston, TX, (7) MD Anderson Cancer Center, Houston, TX
PO-GeP-M-325	Patterns in the Diffusion Characteristics of Brain Metastases in Stereotactic Radiosurgery Patients Using Diffusion Weighted Imaging J Madamesila*, N Ploquin, E Tchistiakova, Tom Baker Cancer Center, Calgary, AB, CA
PO-GeP-M-339	Prospective Evaluation of Serial Quantitative MR Imaging of Patients with Brain Cancer On a 0.35T MR-Linac S Nejad-Davarani1*, N Zakariaei1, N Hurst1, S Siddiqui1, J Snyder1, T Walbert1, Y Chen2, E Haacke2, C Glide-Hurst1, (1) Henry Ford Cancer Institute, Detroit, MI (2) Wayne State University, Detroit, MI
PO-GeP-M-340	Prostate Contour Variability in An MR-Only Prostate SBRT Workflow M Davidson1,4*, A Shaaer2, J Stewart1, D Vesprini3,4, J Detsky3,4, A Loblaw3,4, W Chu3,4, H Chung3,4, S Liu3,4, J Shahi3,4, M Wronski1,4, M Ruschin1,4, C McCann1,4, (1) Sunnybrook Odette Cancer Centre, Department Of Medical Physics, Toronto, ONTARIO, CA, (3) Ryerson University, Toronto, ON, CA, (4) Sunnybrook Odette Cancer Centre, Department Of Radiation Oncology, ,,CA,(4) Department of Radiation Oncology, University of Toronto, Toronto, ON, CA,
PO-GeP-M-347	Quantification of Intrafraction Prostate Motion Using Detected Features in Sagittal 2D Cine-MR B Strbac*, C Brouwer, S Both, J Langendijk, D Yakar, S Al-uwini,
PO-GeP-M-349	Quantification of White Matter Hyperintensities Based On Diffusion Tensor Imaging and Support Vector Machine L Zheng1, R Gao2, W Lu1, L Shi1, W Lu1*, J Qiu1, (1) Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, CN, (2) Shandong University Of Science And Technology, Qingdao, Shandong, CN
PO-GeP-M-383	Skin Dose Comparison Between a 1.5 T MR-Linac and a Conventional Linac Using Optically Stimulated Luminescence Dosimeters for Patients with Intracranial Tumors A Kim1*, C Mccann1, M Ruschin1, C Tseng2, A Sahgal2, B Keller1, (1) Sunnybrook Odette Cancer Centre, Department of Medical Physics, Toronto, ON, CA, (2) Sunnybrook Odette Cancer Centre, Department Of Radiation Oncology
PO-GeP-M-384	Statistical Process Control Analysis of Adaptive Patient Specific QA On the Elekta Unity MRI-Linac S Strand*, A Boczkowski, J Snyder, D Hyer, S Yaddanapudi, D Dunkerley, J St-Aubin, University of Iowa, Iowa City, IA
PO-GeP-M-387	Study of the In-Air Electron Streaming Effect for Lung SBRT with a 1.5T MR-Linac H Liu1*, S Ding1, B Wang1, Y Li1, Y Xia1, Y Sun1, X Huang1, (1) Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, CN.
PO-GeP-M-411	Treatment Planning for Patients with Resected GBM: Is Post-Operative MRI Enough? S Thrower*, K Brock, Y Hasan, C Chung, UT MD Anderson Cancer Center, Houston, TX
PO-GeP-M-420	Validation of a Commercial Continuous Hounsfield Unit (HU) Pelvis Synthetic CT Platform for MR-Only Prostate Radiotherapy Treatment Planning V Yu*, M Hunt, L Cervino, A Damato, N Tyagi, Memorial Sloan Kettering Cancer Center, New York, NY
PO-GeP-M-423	Validation of An Automatic ACR Phantom Quality Assurance Tool for the Low-Field MR Guided Radiotherapy System Y Gao1*, R Lotey2, P Hu1, Y Yang1, (1) University of California, Los Angeles, Los Angeles, CA, (2)Viewray Inc, Mountain View, CA
PO-GeP-M-427	Value Proposition of Online Adaptive Radiotherapy: Clinically Achieved Improvements in Daily Delivered Dose J Bayouth1*, L Bayouth1, P Yadav1, A Shepard1, A Baschnagel1, M Bassetti1, K Mittauer2, (1) University of Wisconsin, Madison, WI, (2) Miami Cancer Institute, Miami, FL
PO-GeP-M-435	White Matter Fiber Tract Abnormalities by Voxel Wise Correlation Analysis in Neurodegenerative Disease R Juh1*, J Han2, C Kim3, C Oh4, T Suh5, (1) Seoul National University Bundang Hospital, Gyeonggi-do, ,KR, (2) Seoul National University Bundang Hospital Gamma Knife Center, Seongnam, ,KR, (3) Seoul National University Bundang Hospital Gamma Knife Center, Seongnam, ,KR, (4) Seoul National University Bundang Hospital Gamma Knife Center, Seongnam, ,KR, (5) Catholic Univ Medical College, Seoul, ,KR
PO-GeP-M-436	Why MAE Alone Is Not Enough for SCT Model Comparisons P Klages*, N Tyagi, H Veeraraghavan, Memorial Sloan-Kettering Cancer Center, New York, NY
PO-GeP-P-21	Automated Quality Control for ACR Compliance M Christensen*, Massachusetts General Hospital, Boston, MA 02114
PO-GeP-P-60	Artifacts, Registration and Radiobiological Relevance in SRS Planning of Vestibular Schwannoma H Erra Sriramulu1*, (1) Kuwait Cancer Control Center, Kuwait, KW
PO-GeP-T-15	A Control-Theoretic Framework for Intra-Fraction Motion Management in MRI-Guided Radiotherapy H Moazami Goudarzi1*, T Mazur2, S Mirzapour3, G Sharp4, E Salari5, (1) Wichita State University, Wichita, KS, (2) Washington University in St. Louis, St. Louis, MO, (3) Wichita State University, Wichita, KS, (4) Massachusetts General Hospital, Boston, MA, (5) Wichita State University, Wichita, KS
PO-GeP-T-673	Quality Correction Factors of Small-Cavity Ionization Chambers in Small MR-Guided Radiotherapy Beams Y Cervantes1,2*, I Billas3, S Duane3, H Bouchard1,2,4, (1) Universite de Montreal, Departement de physique, Montreal, QC, CA (2) Centre de recherche du Centre hospitalier de l'Universite de Montreal, QC, CA, (3) National Physical Laboratory, Teddington, UK,(4)Centre hospitalier de l'Universite de Montreal, Departement de radio-oncologie, Montreal, QC
PO-GeP-T-731	Some Unique Radiation-Safety Related Challenges with Installation of a MR-Linac G Pang, Odette Cancer Centre and Department of Radiation Oncology, University of Toronto, Toronto, ON, CA
PO-GeP-T-750	Surface Dose Evaluation with the Use of EBT3 Gafchromic Films Placed in a Water Phantom Surface in the Presence of Strong Magnetic Field A Episkopakis*, N Marinos, X Gonzalez Souto,Elekta, Inc., Atlanta, GA , J Arts
SU-B-TRACK 2-6	Benchmarking Quantitative Magnetic Resonance Imaging On a Low-Field MR-Linac N Zakariaei1*, S Nejad-Davarani1, Y Chen2, E Haacke2 3, C Glide-Hurst1, (1) Henry Ford Cancer Institute, Detroit, MI, (2) Wayne State University School of Medicine, Detroit, ,(3) The MRI Inst. for Biomedical Research, Bingham Farms, MI
SU-B-TRACK 2-7	Application of Theranostic Gadolinium Based Nanoparticles Loaded in Next Generation Radiotherapy Biomaterials for Magnetic Resonance-Image-Guided Radiotherapy R Mueller1,2,3*, M Moreau3,4,5, S Yasmin-Karim3,4, O Tillement6, R Berbeco3,4, J Hesser1,2,7,8, W Ngwa3,4,5, (1) Department Data Analysis and Modeling in Medicine, Mannheim Institute for Intelligent Systems in Medicine (MIISM), Heidelberg University, 69117 Heidelberg, Germany (2) Heidelberg University, 69117 Heidelberg, Germany (3) Brigham and Women's Hospital, Dana-Farber Cancer Institute, Boston, MA 02115, USA (4) Harvard Medical School, Boston, MA 02115, USA (5) University of Massachusetts Lowell, Lowell, MA 01854, USA (6) Institut Lumière Matière, UMR5306, Université Lyon1-CNRS, Université de Lyon, Villeurbanne, France (7) Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, 69120 Heidelberg, Germany (8) Central Institute for Computer Engineering (ZITI), Heidelberg University, 68159 Mannheim, Germany
SU-CD-TRACK 2-10	Deriving Ventilation Imaging From Free Breathing Proton MRI Via Deep Convolutional Neural Network D Capaldi1*, F Guo2, L Xing3, G Parraga4, (1) Stanford University, Stanford, CA, (2) Sunnybrook Research Institute, (3) Stanford Univ School of Medicine, Stanford, CA, (4) Western University, London, ON, CA
SU-CD-TRACK 2-11	Detection and Segmentation of Brain Metastases On MR Images Using Machine Learning and a Novel Optimized Thresholding Technique D Hsu*, A Ballangrud, L Cervino, J Deasy, A Li, H Veeraraghavan, M Hunt, A Shamseddine, M Aristophanous. Memorial Sloan-Kettering Cancer Center, New York, NY
SU-D-TRACK 1-1	One to Many Modality Unsupervised Domain Adaptation for Multiple MRI Sequence Abdomen Organ Segmentation in MR-Guided Radiotherapy J Jiang1*, H Veeraraghavan2, (1) MSKCC, New York, NY, (2) Memorial Sloan Kettering Cancer Center, New York, NY
SU-D-TRACK 1-2	Quantifying Cancer Receptor Expression Using Dynamic MRI and Fluorescence Tomography Fusion Imaging System B Meng1*, M Folaron2, B Byrd3, R Strawbridge4, K Tichauer5, K Samkoe6, S Davis7, (1) Dartmouth College, Lebanon, NH, AF, (2) Dartmouth College, ,,(3) Dartmouth College, ,,(4) Dartmouth College, ,,(5) Illinois Institute of Technology, ,,(6) Dartmouth College, ,,(7) Dartmouth College,
SU-D-TRACK 1-3	Image Quality Assessment of a MR-Compatible E4D Ultrasound Probe for Image Guided Radiation Therapy S Jupitz1*, J Zagzebski1, J Holmes1, D Mills2, W Lee2, H Chan2, A Patel2, L Smith2, B Bednarz1, (1) University of Wisconsin, Madison, WI, (2) GE Global Research
SU-D-TRACK 1-4	Dosimetric Evaluation of Synthetic-CT Generated by Multi-Sequence MR Images for Head and Neck MR-Only Radiotherapy M Qi1*, Y Li2, A Wu1, X Lu1, Y Liu1, L Zhou1, T Song1, (1) Southern Medical University, Guangzhou, Guangdong, CN, (2) Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, CN
SU-F-TRACK 4-0	Case-Based Review: MRI Safety D Jordan1*, A Panda2*, T Gilk3*, C Sammet4*, R Stafford5*, (1) University Hospitals Cleveland Medical Center, Shaker Heights, OH, (2) Mayo Clinic Arizona, Phoenix, AZ, (3) RAD-Planning/Gilk Radiology Consultants, Kansas City, MO, (4) Lurie Children's Hospital of Chicago, Manhattan, IL, (5) UT MD Anderson Cancer Center, Houston, TX
SU-F-TRACK 4-1	Safety Evaluation and Management of MR Conditional Ancillary Equipment in the MR Scanning Environment D Jordan1*, A Panda2*, T Gilk3*, C Sammet4*, R Stafford5*, (1) University Hospitals Cleveland Medical Center, Shaker Heights, OH, (2) Mayo Clinic Arizona, Phoenix, AZ, (3) RAD-Planning/Gilk Radiology Consultants, Kansas City, MO, (4) Lurie Children's Hospital of Chicago, Manhattan, IL, (5) UT MD Anderson Cancer Center, Houston, TX
SU-F-TRACK 4-2	Multiple Active Devices D Jordan1*, A Panda2*, T Gilk3*, C Sammet4*, R Stafford5*, (1) University Hospitals Cleveland Medical Center, Shaker Heights, OH, (2) Mayo Clinic Arizona, Phoenix, AZ, (3) RAD-Planning/Gilk Radiology Consultants, Kansas City, MO, (4) Lurie Children's Hospital of Chicago, Manhattan, IL, (5) UT MD Anderson Cancer Center, Houston, TX
SU-F-TRACK 4-3	Visualizing MRI Safety With MagnetVision D Jordan1*, A Panda2*, T Gilk3*, C Sammet4*, R Stafford5*, (1) University Hospitals Cleveland Medical Center, Shaker Heights, OH, (2) Mayo Clinic Arizona, Phoenix, AZ, (3) RAD-Planning/Gilk Radiology Consultants, Kansas City, MO, (4) Lurie Children's Hospital of Chicago, Manhattan, IL, (5) UT MD Anderson Cancer Center, Houston, TX
SU-F-TRACK 4-4	A Case Based Review of Implant Safety in Pediatric MRI D Jordan1*, A Panda2*, T Gilk3*, C Sammet4*, R Stafford5*, (1) University Hospitals Cleveland Medical Center, Shaker Heights, OH, (2) Mayo Clinic Arizona, Phoenix, AZ, (3) RAD-Planning/Gilk Radiology Consultants, Kansas City, MO, (4) Lurie Children's Hospital of Chicago, Manhattan, IL, (5) UT MD Anderson Cancer Center, Houston, TX
SU-F-TRACK 4-5	Assessment and Scanning of an MR Conditional Spinal Cord Stimulator with Low SAR Conditions D Jordan1*, A Panda2*, T Gilk3*, C Sammet4*, R Stafford5*, (1) University Hospitals Cleveland Medical Center, Shaker Heights, OH, (2) Mayo Clinic Arizona, Phoenix, AZ, (3) RAD-Planning/Gilk Radiology Consultants, Kansas City, MO, (4) Lurie Children's Hospital of Chicago, Manhattan, IL, (5) UT MD Anderson Cancer Center, Houston, TX
TH-AB-TRACK 4-4	Deep-Learning Based Auto-Detection of Brain Metastases for Stereotactic Radiosurgery Z Tian*, S Kahn, W Curran, T Liu, X Yang, Winship Cancer Institution, Emory University, Atlanta, GA
TH-C-TRACK 5-0	Development of a Clinical Program for MR-Linac Technology: Tips From Installation to Clinical Implementation J Wang1*, B Keller2*, J Smilowitz3*, (1) MD Anderson Cancer Center, Houston, TX, (2) Sunnybrook Odette Cancer Centre, Department of Medical Physics, Toronto, ON, CA, (3) University of Wisconsin, Madison, WI
TH-C-TRACK 5-1	MRI Safety in Radiation Oncology Environment J Wang1*, B Keller2*, J Smilowitz3*, (1) MD Anderson Cancer Center, Houston, TX, (2) Sunnybrook Odette Cancer Centre, Department of Medical Physics, Toronto, ON, CA, (3) University of Wisconsin, Madison, WI
TH-C-TRACK 5-2	Clinical Readiness of an MR-Linac: Tips and Tricks J Wang1*, B Keller2*, J Smilowitz3*, (1) MD Anderson Cancer Center, Houston, TX, (2) Sunnybrook Odette Cancer Centre, Department of Medical Physics, Toronto, ON, CA, (3) University of Wisconsin, Madison, WI
TH-C-TRACK 5-3	Adaptive radiotherapy in an MR-Linac : Effective and streamlined implementation of an online adaptive RT Process J Wang1*, B Keller2*, J Smilowitz3*, (1) MD Anderson Cancer Center, Houston, TX, (2) Sunnybrook Odette Cancer Centre, Department of Medical Physics, Toronto, ON, CA, (3) University of Wisconsin, Madison, WI
TH-C-TRACK 5-4	Q&A J Wang1*, B Keller2*, J Smilowitz3*, (1) MD Anderson Cancer Center, Houston, TX, (2) Sunnybrook Odette Cancer Centre, Department of Medical Physics, Toronto, ON, CA, (3) University of Wisconsin, Madison, WI
TU-CD-TRACK 2-6	Quantitative Characterization of Tumor Proximity to Stem Cell Niches: Implications On Recurrence and Survival in GBM Patients Y Lao1*, A Pham2, T Wang2, J Cui2, H Gallogly2, E Chang2, Z Fan3, K Sheng1, W Yang2, (1) UCLA School of Medicine, Los Angeles, CA (2) Univ Southern California, Los Angeles, CA (3) Cedars-Sinai Medical Center, Los Angeles, CA
TU-CD-TRACK 2-7	Subregion-Based Radiomic Analysis of Preoperative Multi-Modal MR Images for Improving Glioblastoma Survival Outcome Prediction J Fu1*, K Singhrao1, D Ruan1, X Qi1, J Lewis2, (1) Department of Radiation Oncology, UCLA, Los Angeles, CA, (2) Cedars-Sinai Medical Center, Beverly Hills, CA
TU-CD-TRACK 2-12	Longitudinal MRI Based Radiomics: Classifying Rectal Cancer Response to Radiation Therapy A Chen1*, Y Gao2, Y Yang2, P Hu2, (1) Jericho High School,(2) University of California, Los Angeles, Los Angeles, CA
TU-EF-TRACK 2-1	BEST IN PHYSICS (MULTI-DISCIPLINARY): First Experimental Investigation of Simultaneously Tracking Two Independently Moving Targets On An MRI-Linac Using Real-Time MRI and MLC Tracking P Liu1*, Y Ge2, B Dong3, G Liney3, D Nguyen1,4, E Hewson1, D Waddington1, R O'Brien1, P Keall1, (1) ACRF Image X Institute, The University of Sydney, Eveleigh, NSW, AU, (2) Prince of Wales Hospital, Randwick, NSW, AU, (3) Ingham Institute for Applied Medical Research, Liverpool, NSW, AU, (4) School of Biomedical Engineering, University of Technology Sydney, Ultimo, NSW, AU
TU-EF-TRACK 2-2	BEST IN PHYSICS (MULTI-DISCIPLINARY): Accelerating Image Reconstruction On An MRI-Linac with AUTOMAP D Waddington1*, N Hindley1, N Koonjoo2, T Reynolds1, B Zhu2, C Paganelli3, M Rosen2, P Keall1, (1) ACRF Image X Institute, Faculty of Medicine and Health, The University of Sydney, NSW, AU, (2) A. A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA, (3) Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, IT.
TU-EF-TRACK 2-4	Toward MR-Guided Proton Therapy: Synthesizing Relative Proton Stopping Power Images with Multiple Sequence MRI C Wang*, J Uh, C Hua, S Acharya, St. Jude Childrens Research Hospital, Memphis, TN
TU-EF-TRACK 2-6	Using Prediction Models to Analyze MR Guided Radiation Therapy Plans A Thomas1, J Olick-Gibson2*, P Parikh3, D Yang2, (1) MD Anderson Cancer Center, Spring, TX, (2) Washington University in St. Louis, Saint Louis, MO, (3) Henry Ford Cancer Institute, Saint Louis, MO
TU-EF-TRACK 2-7	Autodetection of Structural Similarity as An Indicator for MR-Guided Online Adaptation Y Zhang*, S Lim, X Li, Medical College of Wisconsin, Milwaukee, WI
TU-EF-TRACK 2-8	Experimental Validation of Estimated 4D-MRI for MR-Guided Radiotherapy Based On Orthogonal Cine-MRI with a Porcine Lung Phantom M Rabe1*, C Paganelli2, M Riboldi3, D Bondesson4, M Schneider4, T Chmielewski5, J Dinkel4, M Reiner1, G Landry1,3, K Parodi3, C Belka1,6, F Kamp1, C Kurz1,3, (1) Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany (2) Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy (3) Department of Medical Physics, Ludwig-Maximilians-Universitaet Muenchen (LMU Munich), Garching (Munich), Germany (4) Department of Radiology, University Hospital, LMU Munich, Munich, Germany (5) ViewRay Inc., Oakwood Village, OH (6) German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
TU-EF-TRACK 2-9	Multi-Temporal Resolution Model-Based Volumetric Prediction of Breathing and Slow Drifting Motion in the Abdomen Using Radial MRI L Liu1*, A Johansson2, Y Cao1, J Balter1, (1) University of Michigan, Ann Arbor, MI, (2) Uppsala University,Uppsala,SE
TU-EF-TRACK 2-10	A Hierarchical Motion Model From Dynamic MRI to Characterize Abdominal Configuration Changes Y Zhang1*, J Balter1, R Kashani1, Y Cao1, J Dow1, A Johansson2, (1) Univ Michigan, Ann Arbor, MI, (2) Uppsala University, Uppsala, SE
TU-EF-TRACK 2-12	Clinical Optimization of Diffusion Weighted Imaging On An MR-Linac H Nusrat1,2*, R Chan3, A Elzibak1, B Chugh1,2, A Lau3, A Sahgal2, B Keller1,2, (1) Department of Medical Physics, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, CA, (2) Department of Radiation Oncology, University of Toronto, Toronto, ON, CA, (3) Sunnybrook Research Institute, Toronto, ON, CA
TU-EF-TRACK 2-13	MRI-To-CBCT Registration for Alignment of Prostate Cancer Patients in An MRI-Only Simulation Workflow: Implementation of a GPU-Accelerated Elasticity-Based Biomechanical Model Mediated by Synthetic-CT Images K Singhrao1*, B Stiehl1, M Lauria1, J Fu1, N Parikh2, A Kishan2, A Santhanam2, J Lewis3, (1) David Geffen School of Medicine at UCLA, Los Angeles, CA, (2) Dept. of Radiation Oncology, UCLA, Los Angeles, CA, (3) Cedars-Sinai Medical Center, Beverly Hills, CA
TU-EF-TRACK 2-14	Scintillation Imaging for 2D Beam Characterization and Output Measurement for MR-Linac Quality Assurance D Alexander1*, R Zhang2,3, P Bruza1, B Pogue1,2,3, D Gladstone1,2,3, (1) Thayer School of Engineering, Dartmouth College, Hanover, NH, (2) Geisel School of Medicine, Dartmouth College, Hanover, NH, (3) Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH
TU-EF-TRACK 2-15	Investigation of Monaco Surface Dose Calculations Using Film Dosimetry V Malkov*, K McPhee, T Craig, The Princess Margaret Cancer Centre, Toronto, ON, Canada
TU-EF-TRACK 4-0	Advanced MR in Clinic X Zhou1*, Y Jung2*, H Liu3*, S Einstein4*, (1) University Illinois at Chicago, Chicago, IL, (2) University of California, Davis, Sacramento, CA, (3) UT MD Anderson Cancer Center, Houston, TX, (4) Wellspan Health, York, PA
WE-E-TRACK 1-0	Hot Topics in Breast MRI K Kulkarni1*, J Mcdonald2*, F Pineda1*, (1) University of Chicago, Chicago, IL, (2) Mayo Clinic, Rochester, MN
WE-E-TRACK 2-1	Quantitative Evaluation of Repeatability and Reproducibility of MR Fingerprinting and Conventional Contrast-Weighted MRI for Human Brain Radiomics T Zhu*, L Lu, Y Chen, J Lian, C Shen, D Fried, G Szalkowski, M Oakey, S Das, L Marks, W Lin, Univ North Carolina, Chapel Hill, NC
WE-F-TRACK 1-1	JACK FOWLER JUNIOR INVESTIGATOR COMPETITION WINNER: Joint Adversarial Generator-Segmentor for Unsupervised CT to MRI Synthesis Based MRI Lung Tumor Segmentation J Jiang*, Y Hu, N Tyagi, A Rimner, J Deasy, S Berry, H Veeraraghavan, Memorial Sloan Kettering Cancer Center, New York, NY
WE-F-TRACK 1-2	Deep Learning Based Image Reconstruction Applied to An Accelerated Brain Protocol K Hwang1*, X Wang2, M Lebel2, E Bayram2, S Banerjee2, JM Johnson1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) GE Healthcare, Waukesha, WI
WE-F-TRACK 1-3	Accelerating MRI Acquisition Using Cascaded Attention UNet with Prior Information V Agarwal*, J Balter, Y Cao, Univ Michigan, Ann Arbor, MI
WE-F-TRACK 1-6	Annotation-Efficient Deep Learning for Free Breathing Proton Magnetic Resonance Imaging Segmentation D Capaldi1*, F Guo2, T Nano3, O Morin4, L Xing5, G Parraga6, (1) Stanford University, Stanford, CA, (2) Sunnybrook Research Institute, (3) University of California, San Franisco, San Francisco, CA, (4) University of California San Francisco, San Francisco, CA, (5) Stanford Univ School of Medicine, Stanford, CA, (6) Western University, London, ON, CA