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Education | IM | IM/TH | Leadership | TH | show all

Taxonomy: IM/TH- Image Registration: MRI

BReP-SNAP-I-5An 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-8B0 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-22Imaging 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-29Investigating 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-45Segmented 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-13D 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-23D 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-35Characterization 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-41Comparison 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-42Comparison 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-47CycleGAN 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-51Deep 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-72Factors 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-78Gold 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-94Interfractional 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-95Inter-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-101Monte 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-104Multicenter 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-123Rapid 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-126Real-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-136Simultaneous 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-140Synthetic 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-142Towards 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-144Tumor 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-150Value 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-151Variable 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-42Motion 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-53Efficient 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 1-6Single-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 1-1BEST 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 1-2Improved 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 1-4Fully 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 1-5Functional 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 1-7Multi 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
PO-GeP-I-11A 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-13A 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-16A 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-17A 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-18A 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-20A 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-28Altered 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-29Altered 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-32An Optimised Diffusion MRI Technique To Study Neuron Microstructure
N Arezza*, D Tse, C Baron, Western University, London, Ontario, CA
PO-GeP-I-34Apparent 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-37Automated ACR Image Analysis for MR Imaging for All Seven Tests
C Burton*, Boston Children's Hospital, Boston, MA
PO-GeP-I-41Building 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-48Characterization 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-50Chemical 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-61Comparison 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-76Design 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-86Diagnosis 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-89Distinguishing 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-97Dynamic 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-103EPI 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-120Fast 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-127Gray 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-134Imaging 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-142Integrating 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-143Inter-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-144Investigating in Vivo PH Mapping Using Hyperpolarized 31-Phosphorus Magnetic Resonance Imaging
L Smith1*, C Mckenzie2, (1) ,London, ON, CA, (2) ,
PO-GeP-I-170Predicting 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-173Prospective 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-182Quantitative 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-186Reducing 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-198Structural 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-201Super 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-205Temperature 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-212The 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-225Using 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-234Visualization 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-235Weisskoff 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-17A 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-23A 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-36A 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-37A 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-38A 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-42Abdominal 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-52An 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-64Application 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-65ArcCHECK 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-69Assessment 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-72Assessment 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-111Comparison 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-152Development 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-153Development 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-161Does 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-173Dosimetric 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-174Dosimetric 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-176Dosimetric 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-179Effect 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-183Efficient 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-186End-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-196Evaluating 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-203Evaluation 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-204Evaluation 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-206Evaluation 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-207Evaluation 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-210Evaluation 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-221Feasibility 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-239Identifying 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-242Impact 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-248Impact 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-253Improvement 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-268Introducing 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-287Longitudinal 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-288Low 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-301MRI 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-302MRI 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-303MRI-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-316Online 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-322Out-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-325Patterns 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-339Prospective 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-340Prostate 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-347Quantification 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-349Quantification 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-383Skin 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-384Statistical 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-387Study 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-411Treatment 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-420Validation 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-423Validation 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-427Value 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-436Why 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-21Automated Quality Control for ACR Compliance
M Christensen*, Massachusetts General Hospital, Boston, MA 02114
PO-GeP-P-60Artifacts, Registration and Radiobiological Relevance in SRS Planning of Vestibular Schwannoma
H Erra Sriramulu1*, (1) Kuwait Cancer Control Center, Kuwait, KW
PO-GeP-T-15A 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-673Quality 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-731Some 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-750Surface 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 2-6Benchmarking 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 2-7Application 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 2-10Deriving 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-D-TRACK 1-1One 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 1-4Dosimetric 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 4-0Case-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 4-1Safety 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 4-2Multiple 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 4-3Visualizing 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 4-4A 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 4-5Assessment 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 4-4Deep-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 5-0Development 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 5-1MRI 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 5-2Clinical 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 5-3Adaptive 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 5-4Q&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 2-6Quantitative 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 2-7Subregion-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-EF-TRACK 2-1BEST 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 2-2BEST 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 2-4Toward 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 2-6Using 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 2-7Autodetection 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 2-8Experimental 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 2-9Multi-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 2-10A 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 2-12Clinical 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 2-13MRI-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 2-14Scintillation 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 2-15Investigation 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 4-0Advanced 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 1-0Hot Topics in Breast MRI
K Kulkarni1*, J Mcdonald2*, F Pineda1*, (1) University of Chicago, Chicago, IL, (2) Mayo Clinic, Rochester, MN
WE-E-TRACK 2-1Quantitative 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 1-1JACK 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 1-2Deep 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 1-3Accelerating MRI Acquisition Using Cascaded Attention UNet with Prior Information
V Agarwal*, J Balter, Y Cao, Univ Michigan, Ann Arbor, MI
WE-F-TRACK 1-6Annotation-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