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Keywords: 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-41Preoperative Non-Invasive Grading of Parotid Gland Cancer Malignancy Using Radiomic MR Features
H Kamezawa1*, H Arimura2, R Yasumatsu2, K Ninomiya2, (1) Teikyo University, Omuta, JP, (2) Kyushu University, Fukuoka, JP
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-6A Deep Learning Model to Predict a Diagnosis of MCI by Using Static and Dynamic Brain Connectomics
D Cui1,2, J Jin2, Z Liu2, T Yin2*, (1) Shandong First Medical University, Taian, 37, CN, (2) Institute Of Biomedical Engineering, Chinese Academy Of Medical Sciences, Tianjin, CN
BReP-SNAP-M-12A 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-26Auto-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-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-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-63Dosimetric 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-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-103MR Guided Adaptive Radiotherapy Improves Target Coverage and OAR Sparing: Dosimetric Analysis of 1185 Adaptive Fractions and 4 Years Experience
D Yang*, H Kim, O Green, B Cai, L Henke, J Cammin, B Gu, H Li, H Gach, Washington University School of Medicine, St. Louis, MO
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-113Predicting Glioblastoma Cell Motility with Radiomics
K Mulford*, M McMahon, D Odde, C Wilke, University of Minnesota, Minneapolis, Minnesota
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-130Reproducibility and Correction of the Respiratory Phase Shift for Enhanced Internal-External Motion Correlation
A Milewski*, D Olek, W Martin, A Rimner, G Li, Memorial Sloan Kettering Cancer Center, New York, NY
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-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-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-1514Pi Optimization to Compare Single Versus Multiple Gaze Angle Selection in Ocular Proton Therapy
E Fleury1 2*, C Thomas3 4, B Little3, JW Beenakker5, JP Pignol3 4, P Trnkova1 6, M Hoogeman1 2, (1) Erasmus Medical Center, Rotterdam, The Netherlands (2) Holland Proton Therapy Center, Delft, The Netherlands (3) Dalhousie University, Halifax, Canada (4) Queen Elizabeth II Health Sciences Centre, Halifax, Canada (5) Leiden University Medical Center, Leiden, The Netherlands (6) Medizinische Universitat Wien, Vienna, Austria
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
MO-F-TRACK 2-1BEST 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-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-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-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-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-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-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-116Evaluation of Machine Learning Algorithms Performance for the Classification of Euthymic Pediatric Bipolar Disorder and Healthy Adolescents From Resting-State FMRI Data
T Wang1, Y Guo2, Q Jiao3*, W Cao4, D Cui5, 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 &Shandong Academy of Medical Sciences, Tai'an, 37, CN, (5) Shandong First Medical University, Taian, 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-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-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-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-210The Linearity and Bias of Proton Density Fat Fraction (PDFF) Quantification at MRI Using a Micro-Emulsion Phantom
H Cho1*, C Lee1, B Ahn1, S Seok2, C Hong3, (1) Korea Research Institute of Standards and Science, Daejeon, Korea, (2) Hanyang University Medical Center, Seoul, Korea, (3) Daegu Catholic University, Daegu, Korea
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-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-58An Optimized Training Module for Deep Learning-Based Auto-Segmentation
A Amjad1*, W Xhang2, Z Chen2, Q Zhou2, T Plautz1, L Buchanan1, X A Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Manteia Medical Technologies, Brookfield, WI
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-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-82Automatic 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-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-151Development of 4DCT-MR Based Numerical Lung Phantoms for 4D Radiotherapy and Imaging Investigations
A Duetschler1,2*, M Krieger1,2, D C Weber1,3,4, A J Lomax1,2, Y Zhang1, (1) Center for Proton Therapy, Paul Scherrer Institute, Villigen PSI, CH (2) ETH Zurich, Zurich, CH (3) University Hospital of Zurich, Zurich, CH (4) Inselspital, Bern, CH
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-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-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-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-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-222Feasibility of Pseudo 4pi Approach for Stereotactic Radiosurgery On a Linear Accelerator with On-Board MRI
E Omari*, E Melian, S Hoffman, T Thomas, K Stoeckigt, J Ingram, A Sethi, T Refaat, J Roeske, I Rusu, Loyola University Chicago, Maywood, IL
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-259Individuals in the Prediabetes Stage Exhibit Reduced Hippocampus and Amygdala Subregion Volumes
D CUI, W Cao, Q Jiao, J Qiu, Y Guo*, Shandong First Medical University, Taian, 37CN,
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-282Lesion 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-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-289Machine Learning Models in Predicting Pathological Complete Response After Neo-Adjuvant Chemoradiation for Locally Advanced Rectal Cancer
Y Zhang1,2*, M diMayorca1,3, L Shi4, X Sun4, S Jabbour1, Y Zhang1, N Yue1, K Nie1, (1) Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ (2) Department of Radiology, University of California,Irvine, CA, (3) Columbia University, New York (4) Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang Univ., Hangzhou, ,CN,
PO-GeP-M-300MRI Radiomic Analysis for Survival Prediction in Diffuse Midline Glioma
L Tam1, M Han1, D Yecies1, K Yeom1, S Mattonen2*, (1) Stanford University, Stanford, CA, USA (2) Western University, London, ON, CA
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-307Multiple 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-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-329Predicting Prognosis of Posterior Fossa Ependymoma Using MRI Radiomics
L Tam1, D Yecies1, M Han1, K Yeom1, S Mattonen2*, (1) Stanford University, Stanford, CA, USA (2) Western University, London, ON, CA
PO-GeP-M-338Prognostic Value of Imaging-Based Estimates of Glioma Pathology Pre- and Post-Surgery
E Gates*, D Suki, J Weinberg, S Prabhu, D Fuentes, D Schellingerhout, UT MD Anderson Cancer Center, Houston, TX
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-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-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-415Using Radiomics to Study Statin Use and Omega-3 Use in Prostate Cancer Patients
D Zheng1*, Y Shi2, E Wahle1, L Krajewski1, X Liang3, Q Du2, C Zhang2, S Zhou1, M Baine1, (1) University of Nebraska Medical Center, Omaha, NE, (2)University of Nebraska Lincoln, Lincoln, NE,(3)University of Florida, Jacksonville, FL
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-428Versatile Geometric Distortion Evaluation of MRI Using Modular Phantom with LEGO Compatibility in Radiation Therapy
C Hong1*, H Cho2, C Lee2, B Ahn2, (1) Daegu Catholic University,Daegu,Korea,(2) Korea Research Institute of Standards and Science,Daejeon,Korea
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-61Dosimteric Impact of Distortion Correction of MR Image Set for Cranial Stereotactic Radiation Treatments
R Sandhu*, C Knill, I Grills, P Chinnaiyan, Z Seymour, Beaumont Health System, Royal Oak, MI
PO-GeP-P-74Dosimetry Impact of Cine Magnetic Resonance Image Gating in Breath Hold Pancreatic Cancer Radiotherapy
P Hu1, F Yang2, Y Yang1*, (1) University of Science and Technology of China, Hefei, China, (2) University of Miami Miller School of Medicine, Miami, USA
PO-GeP-T-118 MV Radiation Sensitivity Comparison of Platinum and Gadolinium Oxide Nanoparticles Using Magnetic Resonance Based MAGICA Polymer Gel Dosimetery
N Riyahi-Alam1*, S Shoobklaei2, s salimi3, S Farahani4, F Farokhi5, (1) Department of Medical Physics & Biomedical Engineering, School if Medicine, Tehran University of Medical Sciences(TUMS), Tehran, Iran, Tehran, ,IR, (2) Tehran University Of Medical Sciences, ,,(3) Urmia University of Medical Sciences, Arak, 22, IR, (4) Tehran University Of Medical Sciences, ,,(5) Tehran University Of Medical Sciences,
PO-GeP-T-27A Feasibility Study of MRI Guided Pre-Plan Using Advanced Gynecological Applicator Venezia
Y Huang*, F Su, X Li, H Zhao, G Nelson, M Szegedi, L Burt, D Gaffney, G Suneja, B Salter, Univ of Utah, Salt Lake City, UT
PO-GeP-T-205Community Hospital Experience Commissioning a New MR-Based HDR Program
J Fagerstrom1,2*, J Marotta2, J Cantley 1,2 (1) Northwest Medical Physics Center, Lynnwood, WA, (2) Kaiser Permanente, Seattle, WA
PO-GeP-T-222Comparison of Forward-Planned and Inversely-Optimized Dose Distributions for Patients Treated Using An Hybrid Interstitial Gynecological Applicator Placed Under MRI Guidance for Treatment of Cervical Cancer
S Simiele1*, G Mcginnis2, M Cunningham1, C Starks1, L Colbert2, M Joyner2, L Lin2, A Jhingran2, P Eifel2, A Venkatesan3, A Klopp2, (1) Department of Radiation Physics, MD Anderson Cancer Center, Houston, TX, (2) Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX, (3) Abdominal Imaging Department, MD Anderson Cancer Center, Houston, TX
PO-GeP-T-288Development of a Pre-Clinical MR-Guided Radiotherapy Model to Assess Gadolinium-Induced Renal Toxicity
M Petronek1*, E Steinbach1, A Kalen1, C Callaghan1, D Hyer1, R Flynn1, D Spitz1, J Buatti1, V Magnotta1, D Zepedo-orozco2, J St-Aubin1, B Allen1 (1) University of Iowa, Iowa City, IA, (2) Ohio State University, Columbus, OH
PO-GeP-T-408Evaluation of New Markers for the Interstitial Plastic Component in MR-Based Cervix Brachytherapy
J Chimeno Hernandez1, F Blazquez1, G Montoliu2, J Bosque2, G Jose1, J Ruiz Rodriguez1, V Carmona Meseguer1, F Lliso-Valverde1, J Perez-Calatayud1*, (1) Radiotherapy Department,Hospital Universitari i Politecnic La Fe, Valencia,Spain , (2) Radiodiagnostic Department, Hospital Universitari I Politecnic La Fe, Valencia, Spain
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-800Towards An Image-Informed Mathematical Model of Response to Fractionated Radiation Therapy
D Hormuth,II1,5*, A Jarrett1,5, T Yankeelov1-5, (1) Oden Institute for Computational Engineering and Sciences, Departments of (2) Biomedical Engineering, (3) Diagnostic Medicine, and (4) Oncology, (5) Livestrong Cancer Institutes . The University of Texas at Austin, Austin, TX USA
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-CD-TRACK 2-11Detection 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 1-2Quantifying 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 1-4Dosimetric 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 2-5Progressively Grown GAN with Learned Fusion Operation for Hetero-Modal Synthesis of MRI Sequences
D Gourdeau1*, S Duchesne2, L Archambault3, (1) Universite Laval, Quebec, QC, CA, (2) Centre de recherche CERVO, Quebec, QC, CA (3) CHUQ Pavillon Hotel-Dieu de Quebec, Quebec, QC, CA
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-A-TRACK 3-1BEST IN PHYSICS (THERAPY): Deep Learning-Assisted Algorithm for Catheter Reconstruction During MR-Only Gynecological Interstitial Brachytherapy
A Shaaer1*, M Paudel2,3,M Smith4,F Tonolete4,E Leung 2,5,A Ravi2,3 (1) Department of Physics, Ryerson University, Toronto, ON, Canada, (2) Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada, (3) Department of Medical Physics, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, (4) Department of Radiation Therapy, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, (5) Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
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 2-7Subregion-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-CD-TRACK 2-12Longitudinal 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-CD-TRACK 2-13Detection of Radiation Induced Bone Marrow Damage in a Swine Model Through PET, MRI and Dual Energy CT
M Lawless*, J Huang, J Bayouth, K Li, A McMillan, A Pirasteh, J Meudt, D Shanmuganayagam, S Reeder, J Miller, University of Wisconsin, Madison, WI
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 2-8Experimental 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 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-E-TRACK 2-4Classification of LGG Tumor IDH1 Gene Mutation Status Using T2/FLAIR MRI Texture Information
M Safari1, 2*, L Archambault1, 2, A Ameri3, A Fatemi4, M Beigi5, (1) Department of Physics, Universite Laval, Quebec, QC, CA, (2) CHU de Quebec - Universite Laval, Quebec, QC, CA, (3) Department Of Clinical Oncology, Shahidbeheshti University, (4) University of Mississippi Med. Center, Jackson, MS, (5) Novin Medical Radiation Institute, Haft Tir Martyrs Hospital, Tehran, Iran.
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 1-4Deep-Learning for Differentiation of Benign From Malignant Parotid Lesions On MR Image
B Feng1,2*, X Xia3, L Xu4, C Hu1,2, J Wang1,2, Z Zhang1,2, W Hu1,2, (1) Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, CN (2) Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, CN (3) Department of Radiology, Municipal Hospital Affiliated to Medical School of Taizhou University, Taizhou, CN (4) Department of Radiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, CN