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Keywords: mri
| MO-A-TRACK 2-0 | MR Protocol Basics: Brain, Spine and Prostate P Hou1*, T Andrews2*, Q Yuan3*, H Liu4*, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Washington University at St Louis, Saint Louis, MO, (3) UT Southwestern Medical Center, Dallas, TX, (4) UT MD Anderson Cancer Center, Houston, TX |
| MO-A-TRACK 6-4 | Mechatronics-Assisted MRI-Guided Focal Laser Ablation of the Prostate: A Phantom Study E Knull1,2, C Park1,2*, J Bax2, D Tessier2, A Fenster1,2, (1) Western University, London, ON, Canada, (2) Robarts Research Institute, London, ON, Canada |
| MO-E-TRACK 3-0 | Accelerated Imaging in MR S Ragunathan1*, S Kurugol2*, (1) Barrow Neurological Institute, Phoenix, AZ, (2) Boston Children's Hospital, Boston, MA |
| MO-EF-TRACK 4-4 | Imaging Based Prediction of Proliferative Foci as a Target for Surgical Intervention Across Glioma Grades E Gates*, A Celaya, D Suki, J Weinberg, S Prabhu, D Fuentes, D Schellingerhout, University Of Texas MD Anderson Cancer Center, Houston, TX |
| MO-EF-TRACK 4-8 | MR Multitasking-Based Dynamic Imaging for Cerebrovascular Evaluation (MT-DICE): Development and Feasibility Study On Brain Cancer Z Hu1,2*, A Christodoulou1,2, N Wang1, Y Xie1, M Maya1, M Shiroishi3, W Yang3, D Li1,2, Z Fan1,3, (1) Cedars-Sinai Medical Center, Los Angeles, California, USA (2) University of California, Los Angeles, California, USA (3) Keck School of Medicine of USC, Los Angeles, California, USA |
| MO-IePD-TRACK 1-5 | Effects of Permanent Magnet Shapes Used in Halbach Cylinders On FFL-MPI M Ergor1, N Dogan2, A Bingolbali1*, (1) Yildiz Technical University, Istanbul, TR, (2) Gebze Technical University, Gebze/Kocaeli, TR |
| MO-IePD-TRACK 2-7 | Characterization of a Tissue-Equivalent Phantom for Thermometric Studies in MRI O Aboyewa1*, H Akinleye2, J Wrubel1, M Nichols1, (1) Physics Department, Creighton University, Omaha, NE, U.S.A. (2) Physics Department, Federal University Of Technology, Akure, Nigeria |
| MO-IePD-TRACK 3-1 | Autosegmentation On Low-Resolution T2-Weighted MRI of Head and Neck Cancers for Off-Line Dose Reconstruction in MR-Linac Adapt-To-Position Workflow B McDonald1*, C Cardenas2, N O'connell3, S Ahmed4, M Naser5, J Xu6, D Thill7, R Zuhour8, S Mesko9, A Augustyn10, S Buszek11, S Grant12, B Chapman13, A Bagley14, K Wahid15, R He16, A Mohamed17, A Dresner18, J Christodouleas19, K Brock20, C Fuller21, (1) UT MD Anderson Cancer Center, Houston, TX, (2) UT MD Anderson Cancer Center, Houston, TX, (3) Elekta Inc., ,,(4) UT MD Anderson Cancer Center, ,,(5) UT MD Anderson Cancer Center, Houston, ,(6) Elekta Inc., St. Charles, MO, (7) Elekta Inc., St. Charles, MO, (8) University Of Texas Medical Branch, ,,(9) UT MD Anderson Cancer Center, ,,(10) UT MD Anderson Cancer Center, ,,(11) UT MD Anderson Cancer Center, ,,(12) UT MD Anderson Cancer Center, ,,(13) UT MD Anderson Cancer Center, ,,(14) UT MD Anderson Cancer Center, ,,(15) UT MD Anderson Cancer Center, ,,(16) UT MD Anderson Cancer Center, Houston, TX, (17) UT MD Anderson Cancer Center, Houston, TX, (18) Philips Healthcare, ,,(19) Elekta Inc., ,,(20) UT MD Anderson Cancer Center, Houston, TX, (21) UT MD Anderson Cancer Center, Houston, TX |
| MO-IePD-TRACK 3-1 | Comparison of CT-Guided and MR-Guided Adaptive Radiotherapy for Intramuscular Metastasis S Prajapati1*, Y Zhao1,2, C Tang1, Z Yu1, B Lee1, P Castillo1, A Sobremonte1, R Kudchadker1, J Yang1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) UT MD Anderson UTHealth Graduate School of Biomedical Sciences, Houston, TX |
| MO-IePD-TRACK 3-2 | Correction of Gantry Induced Geometric Image Distortion On MRgRT at Various Gantry Angles with Deformation Vector Field B Lewis1, J Shin1,2*, B Quinn3, E Barberi3, D Sievert1, J Kim2, T Kim1, (1) Washington University in St. Louis, Saint Louis, MO, (2) Yonsei University College of Medicine, Seoul, ,KR, (3) Modus Medical Devices, London, ON, CA |
| MO-IePD-TRACK 3-2 | Dosimetric Benefits of MR Guided Adaptive Radiation Therapy A Sethi*, S Hoffman, J Ingram, B Lee, J Roeske, T Refaat, Loyola University Medical Center, Maywood, IL |
| MO-IePD-TRACK 3-3 | Generative Adversarial Networks for Synthetic CT Generation From MR Scans with Truncated Anatomy Y Zhao1,2*, L Court1,2, C Yu1,2, C Cardenas1,2, H Wang1,2, X Wang2, J Phan2, J Yang1,2, (1) University of Texas MD Anderson UTHealth Graduate School of Biomedical Sciences, Houston, TX (2) University of Texas MD Anderson Cancer Center, Houston, TX |
| MO-IePD-TRACK 3-4 | Optimizing Site-Specific Diffusion Weighted Imaging in An MR-Linac H Nusrat1,2*, L Lawrence3,4, R Chan3, A Lau3,4, A Elzibak1, B Chugh1,2,5, 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, (4) Department of Medical Biophysics, University of Toronto, Toronto, ON, CA, (5) Department of Physics, Ryerson University, Toronto, ON, CA |
| MO-IePD-TRACK 3-4 | 3D Deep Convolutional Neural Network for Mapping MRI to Synthetic MVCT for Radiotherapy Planning J Scholey1*, A Rajagopal2, E Vasquez3, A Sudhyadhom4, P Larson5, (1) University of California San Francisco, San Francisco, CA, (2) University of California San Francisco, San Francisco, CA, (3) University Of California Berkeley, Berkeley, CA,(4) Harvard Medical School, Boston, MA, (5) University of California San Francisco, San Francisco, CA |
| MO-IePD-TRACK 3-5 | Reduced Field-Of-View Diffusion Weighted MRI On An MR-Guided Radiotherapy System J Pham*, Y Gao, D Low, P Hu, Y Yang, University of California, Los Angeles, Los Angeles, CA |
| MO-IePD-TRACK 3-6 | Dosimetry Impact of Gating Threshold Selection in Cine-MR Image Guided Breath-Hold Pancreatic Cancer Radiotherapy Y Dong1*, P Hu1, F Yang2, Y Yang1, (1) University of Science and Technology of China, Hefei, China, (2) University of Miami, Miami, USA |
| MO-IePD-TRACK 3-7 | Optimization of The imaging Plane for Real-Time Tumor Tracking in MR-Guided Radiotherapy of Moving Targets K Traeuble1, P Palaniappan1, C Gianoli1, C Paganelli2, G Baroni2,3, F Kamp4,5, C Belka4,6, C Kurz4, G Landry4, M Riboldi1*, (1) Department of Medical Physics, Ludwig-Maximilians-Universitaet Muenchen, Munich, DE (2) Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, IT (3) Bioengineering Unit, Centro Nazionale di Adroterapia Oncologica, Pavia, IT (4) Department of Radiation Oncology, LMU University Hospital, Munich, DE (5) Department of Radiation Oncology, University Hospital Cologne, Cologne, DE (6) German Cancer Consortium (DKTK), Munich, DE |
| MO-IePD-TRACK 3-7 | Real-Time Motion Tracking Based On Orthogonal Cine MRI for Abdominal Tumors On 1.5T MR-Linac H Jassar1*, A Tai1, X Chen1, T Keiper1, E Paulson1, F Lathuiliere2, S Beriault2, F Hebert2, L Savard2, D Cooper2, S Cloake2, X Li1, (1) Medical College of Wisconsin, Milawkee, WI, USA (2) Elekta, Stockholm, Sweden |
| MO-IePD-TRACK 4-4 | Treatment Response Prediction for MRI-Guided Adaptive Radiation Therapy of Pancreatic Cancer Using Multiscale Wavelet-Based Delta-Radiomics H Nasief*, W Hall, X Chen, E Paulson, B Erickson, X Li, Medical College of Wisconsin, Milwaukee, WI |
| PO-GePV-I-5 | Design of Nested Halbach Rings for Portable MRI Scanners M Ergor1, N Dogan2, A Bingolbali1*, (1) Yildiz Technical University, Istanbul, TR, (2) Gebze Technical University, Gebze/Kocaeli, TR |
| PO-GePV-I-9 | Commissioning of Commercial Quantitative R2* Mapping Software for Clinical Use B Taylor*, H Chen, H Liu, J Yung, P Hou, K Brock, RJ Stafford, Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX |
| PO-GePV-I-11 | 3D Computational Approach to Morphological Brain Abnormalities in Autism S Brindle*, C Saben, R Makkia, University of Mary Washington, Stafford, Virginia |
| PO-GePV-I-22 | Study of Cariporide Effect On Tumor Intracellular PH (pHi) Using Chemical Exchange Saturation Transfer (CEST) MRI M Mozaffari*, N Nystrom, A Li, M Bellyou, T Scholl, R Bartha, Robarts Research Institute, Western University, London, ON, CA, |
| PO-GePV-M-32 | Intrafractional Tumor Motion Prediction Using Surrogates On Pancreatic Cine MRgRT A Guta1*, J Shin2, B Lewis3, Z Ji4, J Kim5, T Kim6, (1) Washington University in St. Louis, St. Louis, MO, (2) Yonsei University College of Medicine, Seoul, ,KR, (3) Washington University School of Medicine in St. Louis, Saint Louis, MO, (4) Washington University St Louis, ,,(5) Yonsei University College of Medicine, Seoul, ,KR, (6) Washington University in St. Louis, Saint Louis, MO |
| PO-GePV-M-38 | What's Behind Auto-Segmentation Models: An Interpretability Analysis of Calculation Logic of Segmentation Model for Brain Tumor H Chen1*, D Ban2, X Qi3, (1) Xi'an University of Posts and telecommunications, Xi'an, 61, CN, (2) Xi'an University of Posts and telecommunications, Xi'an, 61, CN, (3) UCLA School of Medicine, Los Angeles, CA |
| PO-GePV-M-50 | Predicting Overall Survival of Patients with Glioma Via A Novel Framework Consisting of Two-Phase Feature Selection and Fused Regression Forest H Chen1*, Y Liu2, X Qi3, (1) Xi'an University of Posts and telecommunications, Xi'an, 61, CN, (2) Xi'an University of Posts & Telecommunications, Xi'an, 61, CN, (3) UCLA School of Medicine, Los Angeles, CA |
| PO-GePV-M-130 | Accuracy of Pelvic CT-MR Deformable Image Registration: Comparison of Open-Source and Commercial Software T Ishida*, N Kadoya, S Tanabe, H Ohashi, H Nemoto, S Dobashi, K Takeda, K Jingu, Tohoku University, Sendai, JP, |
| PO-GePV-M-148 | Intentional Deep Overfit Learning (IDOL) : An Application to Deep Learning Based MRI Super-Resolution I Park1,2*, J Chun1, B Choi1,2, S Olberg2,3, T Kim4, B Cai2, A Godley2, A Pompos2, P Medin2, J Kim1, S Jiang2, J Park2, (1) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea (2) Medical Artificial Intelligence and Automation (MAIA) Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (3) Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO (4) Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO |
| PO-GePV-M-168 | Synthetic Lung MRI for Auto-Segmentation Using Unet Training: Supervised Cross-Domain Adaptation From CT to MRI Y Liu*, J Jiang, N Tyagi, H Veeraraghavan, G Li, J Deasy, L Cervino, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-M-171 | Apparent Diffusion Coefficient Calculation On a 0.35T MR-Linac System B Lewis1*, J Shin1,2, J Kim2, H Gach1, T Kim1, (1) Washington University in St. Louis, Saint Louis, MO, (2) Yonsei University College of Medicine, Seoul, ,KR |
| PO-GePV-M-172 | Automated Analysis of QA Images Acquired with Low-Field MRgRT R Moskwa1*, B Paliwal2, I Tanumihardjo2, P Yadav2, (1) Medical Physics, University of Wisconsin-Madison, Madison, WI, (2) School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI |
| PO-GePV-M-176 | Urethra Inter-Fractional Geometric Variations of Prostate Cancer Patients: A Study Using An On-Board MRI J Pham*, R Savjani, S Yoon, Y Gao, M Cao, P Hu, K Sheng, D Low, M Steinberg, A Kishan, Y Yang, UCLA School of Medicine, Los Angeles, CA |
| PO-GePV-M-178 | Dosimetric Effects of Air Cavities for MRI-Guided Online Adaptive Radiation Therapy (MRgART) of Prostate Bed After Radical Prostatectomy J Pham*, M Cao, A Kishan, Y Yang, UCLA School of Medicine, Los Angeles, CA |
| PO-GePV-M-186 | Automated Detection of Freiburg Flap Applicator Catheters for Surface Brachytherapy On PETRA MR Images E Kaza*, CY Lee, R Cormack, PM Devlin, I Buzurovic, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA |
| PO-GePV-M-188 | Geometric Accuracy of Spiral FLAIR for Treatment Planning in Stereotactic Radiosurgery: A Preliminary Study Z Li1*, S Srivastava2, J Karis1, (1) Barrow Neurological Institute, Phoenix, AZ, (2) Dignity Health, Phoenix, AZ |
| PO-GePV-M-194 | Optimizing the Accuracy and Training Speed of An Artificial Neural Network for Three-Dimensional Tumour Trajectory Prediction in Linac-MR Image-Guided Radiation Therapy N W Johnson1*, B G Fallone1,2, J Yun1,2, (1) University of Alberta, Edmonton, AB, CA, (2) Cross Cancer Institute, Edmonton, AB, CA |
| PO-GePV-M-230 | MRI Characterization of 3D Printed Anatomic Models Using a Dual-Echo Ultrashort TE (UTE) Sequence N Wake*, Q Peng, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY |
| PO-GePV-T-19 | MRI-Based Virtual Volume Study for Permanent Prostate Brachytherapy (PPB) Y Le1*, S Ng2, Y Yue3, G Guo4, J Holmes5, (1) Indiana University- School of Medicine, Indianapolis, IN, (2) Indiana University Methodist Hospital, Indianapolis, IN, (3) Indiana University, Carmel, IN, (4) University Hospital Cleveland, ,,(5) Indiana University- School Of Medicine, |
| PO-GePV-T-55 | Initial Characterization and Validation of a Commercial Head and Neck Immobilization System for MR-Guided Radiotherapy J McCulloch1,2*, A Gutierrez1,2, T Romaguera1,2, D Alvarez1,2, K Mittauer1,2, (1) Miami Cancer Institute, Baptist Health South Florida, Miami, FL, (2) Florida International University, Herbert Wertheim College of Medicine, Miami, FL |
| PO-GePV-T-319 | Commissioning and Clinical Implementation of Pseudo 4Pi On An MR-Guided Radiotherapy (MRgRT) Linac J McCulloch1,2*, A Gutierrez1,2, T Romaguera1,2, D Alvarez1,2, K Mittauer1,2, (1) Miami Cancer Institute, Baptist Health South Florida, Miami, FL, (2) Florida International University, Herbert Wertheim College of Medicine, Miami, FL |
| SU-D-TRACK 4-7 | Towards Closed-Loop Control Head Motion Correction with Soft Actuators in MRI-LINAC Systems O Ogunmolu*, R Wiersma, University of Pennsylvania, Philadelphia, PA |
| SU-E-TRACK 3-0 | Imaging Markers of Breast Cancer Risk C Vachon1*, E Morris2*, C Hruska3*, (1) Mayo Clinic, Rochester, MN, (2) University of California, Davis, Sacramento, CA,(3) Mayo Clinic, Rochester, MN |
| SU-E-TRACK 3-1 | Breast Cancer Risk Markers from Mammography C Vachon1*, E Morris2*, C Hruska3*, (1) Mayo Clinic, Rochester, MN, (2) University of California, Davis, Sacramento, CA,(3) Mayo Clinic, Rochester, MN |
| SU-E-TRACK 3-2 | Emerging AI Breast Imaging Applications C Vachon1*, E Morris2*, C Hruska3*, (1) Mayo Clinic, Rochester, MN, (2) University of California, Davis, Sacramento, CA,(3) Mayo Clinic, Rochester, MN |
| SU-E-TRACK 3-3 | Q&A & Panel Discussion C Vachon1*, E Morris2*, C Hruska3*, (1) Mayo Clinic, Rochester, MN, (2) University of California, Davis, Sacramento, CA,(3) Mayo Clinic, Rochester, MN |
| SU-IePD-TRACK 1-5 | Functional MRI-Based Radiomics for the Diagnosis of Major Depressive Disorder K Sun1*, S Zhao2, G Liu1, W Lu1, J Qiu1, L Shi1, (1)Shandong First Medical University & Shandong Academy Of Medical Sciences, (2) Beijing Anding Hospital, Capital Medical University |
| SU-IePD-TRACK 3-2 | Angiogram-Free Intracranial Vessel Localization for Plaque Assessment W Fan1*, Y Sang1, H Zhou1, Z Hu2, J Xiao2, Z Fan2,3, D Ruan1,4, (1) UCLA, Los Angeles, CA, (2) Cedars-Sinai Medical Center, Los Angeles, CA, (3) Keck School of Medicine of USC, Los Angeles, CA, (4) UCLA School of Medicine, Los Angeles, CA |
| SU-IePD-TRACK 3-3 | Segmentation of a Highly Deformable Organ Using a Machine-Assisted Interpolation Algorithm D Luximon*, Y Abdulkadir, E Morris, P Chow, J Lamb, University of California, Los Angeles, Los Angeles, CA |
| SU-IePD-TRACK 3-3 | Image Synthesis for Planning and Target Tracking of MR-Based Stereotactic Radiation Therapy G Szalkowski*, D Nie, T Zhu, P Yap, J Lian, University Of North Carolina at Chapel Hill |
| SU-IePD-TRACK 3-7 | Deep Learning-Based Intracranial Vessel Wall Segmentation: Good DSC with Biased NWI? H Zhou1*, J Xiao2, Z Fan23, D Ruan14, (1) Department of Bioengineering, UCLA, Los Angeles, CA, (2) Cedars-Sinai Medical Center, Los Angeles, (3) Keck School of Medicine of USC, Los Angeles, CA, (4) School of Medicine, UCLA, Los Angeles, CA |
| SU-IePD-TRACK 6-1 | Real-Time Reduction in Isocenter Shifts During MR-IGRT Gantry Rotation A Curcuru*, D Yang, H Gach, Washington University in St. Louis, St. Louis, MO |
| SU-IePD-TRACK 6-7 | Evaluation of MRI-Guided Linear Accelerator Based Stereotactic Radiosurgery for Brain Metastasis M De Ornelas*, N Dogan, W Amestoy, H Guerrero, T Diwani, E Mellon, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL |
| TH-A-TRACK 6-2 | An Evaluation of the Use of EBT-XD Film for SRS/SBRT Commissioning of Unity MR-Linac System S Lim*, N Tyagi, E Subashi, J Liang, M Chan, Memorial Sloan Kettering Cancer Center, New York, NY |
| TH-B-TRACK 6-3 | Prediction of Lung Tumor Position Using 0.35 T Cine MRgRT in Retrospective Study J Shin1,2*, Z Ji1, Y Huang1, B Lewis1, A Guta1, S Oh3, J Kim2, T Kim1, (1) Washington University in St. Louis, Saint Louis, MO, (2) Yonsei University College of Medicine, Seoul, ,KR, (3) Allegheny General Hospital, Wexford, PA |
| TH-C-TRACK 3-1 | BEST IN PHYSICS (IMAGING): Parallel Imaging Stream for Multi-Purpose Real-Time Adaptive MRI-Guided Prostate Radiotherapy T Bruijnen1,2*, P Borman1, T Schakel1, B Raaymakers1, (1) Department of Radiotherapy, University Medical Center Utrecht, Utrecht, UT, NL, (2) Computational Imaging Group for MRI diagnostics and therapy, Centre for Image Sciences, University Medical Center Utrecht, Utrecht, UT, NL |
| TH-C-TRACK 3-2 | Correcting Image Distortion for Brain Tumor Treatments On An MRI-Linac S Shan1,2*, D Waddington1,2, P Liu1,2, B Dong2, J Buckley2,3, D Elwadia4, T Pham4, G Liney2,3,4, P Keall1,2, (1) ACRF Image X Institute, University of Sydney School of Health Sciences, Sydney, NSW, Australia (2) Ingham Institute For Applied Medical Research, Liverpool, NSW, 2170, Australia (3) Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia (4) Liverpool and Macarthur Cancer Therapy Centres, Liverpool, New South Wales, Australia |
| TH-C-TRACK 3-4 | Visual Network in Primary Open Angle Glaucoma: A Functional Connectivity Analysis Based On Group Parcellation From Resting FMRI H Qu1, W Lu1, L Shi1, J Qiu1, W Lu1*, (1) Shandong First Medical University & Shandong Academy Of Medical Sciences, Tai'an, Shandong,CN |
| TH-C-TRACK 3-5 | Novel Sampling Strategy for Improved Reproducibility in Quantitative T1rho Mapping C Wu1*, Q Peng2, (1) Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA (2) Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA |
| TH-IePD-TRACK 2-2 | A Dynamic Susceptibility Contrast MRI Digital Reference Object for Testing Software with Leakage Correction H Chen1*, M Jen2, P Hou1, R Stafford1, H Liu1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) University of Wisconsin-Madison, Madison, WI |
| TH-IePD-TRACK 2-3 | Leveraging Prior Knowledge to Reconstruct Quantitative MR Relaxation Maps to Investigate Glioma Tumor Heterogeneity X Zhao1*, D Parsons2, Z Iqbal1, (1) University of Alabama - Birmingham, Birmingham, AL, (2) UT Southwestern Medical Center, Dallas, TX |
| TH-IePD-TRACK 2-4 | Dependence of B0 Homogeneity On Field Strength and Phantom Size When Measured with Four Common Methods T Salzillo1*, D Jordan2, D Ragan3, M O'Shea4, T Andrews5, C Dillon6, S Fielden7, M Tressler8, J Saunders9, J Och10, C Brunnquell11, (1) MD Anderson Cancer Center, Houston, TX, (2) University Hospitals Cleveland Medical Center, Cleveland, OH, (3) Medical College of Wisconsin, Milwaukee, WI, (4) University of Pennsylvania, Cherry Hill, NJ, (5) Washington University at St Louis, Saint Louis, MO, (6) Alliance Medical Physics, Alpharetta, GA, (7) Geisinger Health System, Danville, PA, (8) Alliance Medical Physics LLC, Canton, GA, (9) US Navy, San Diego, CA, (10) Geisinger Medical Center, Danville, PA, (11) University of Washington, Seattle, WA |
| TH-IePD-TRACK 2-6 | Need for a Saturation RF Band to Mitigate Flow Artifact in 3D-MPRAGE On a Compact 3T Scanner M In*, N Campeau, J Huston, D Kang, L Bardwell Speltz, N Meyer, J Trzasko, Y Shu, M Bernstein, Mayo Clinic, Rochester, MN |
| TH-IePD-TRACK 2-6 | Quantitative Inter-Vendor Evaluation of PDFF and R2* Mapping Accuracy for 3T MRI Scanners J Yu*, A Panda, Mayo Clinic, Arizona, Scottsdale, AZ |
| TH-IePD-TRACK 2-7 | MRI Scanner 3D Field Homogeneity Evaluation for ACR Acceptance and Performance Testing J.-X. Wang1*, (1) University of Alabama at Birmingham, Birmingham, AL |
| TH-IePD-TRACK 3-5 | Inter-Fraction Motion Assessment and Accumulated Dose Quantification of Upper GI Organs During MR-Guided Ablative SBRT Treatment S Alam1*, H Veeraraghavan1, K Tringale1, E Amoateng2, C Crane1, N Tyagi1, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) City University Of New York, New York, NY |
| TU-EF-TRACK 4-6 | Patient-Specific Deep Learning-Based Self-High-Resolution for MR Imaging Y Lei*, J Roper, E Schreibmann, H Mao, J Bradley, T Liu, X Yang, Emory Univ, Atlanta, GA |
| TU-IePD-TRACK 3-4 | Using Artificial Intelligence to Automatically Track the Response of Brain Metastases to Stereotactic Radiosurgery D Hsu*, A Ballangrud, J Deasy, H Veeraraghavan, K Beal, L Cervino, M Aristophanous, Memorial Sloan Kettering Cancer Center, New York, NY |
| TU-IePD-TRACK 4-1 | A Deep Reinforcement Learning Based Pipeline for Prostate Segmentation On MRI with Low Variance Performance L Xu1*, W Shi1, N Wen2, (1) Wayne State University, Detroit, MI, (2) Henry Ford Health System, Detroit, MI |
| WE-C-TRACK 3-3 | Evaluation of MRI-Only Treatment Planning (MRTP) Quality for Gynecologic HDR Brachytherapy Using PETRA Sequence CY Lee*, E Kaza, TC Harris, DA O'Farrell, MT King, RA Cormack, I Buzurovic, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA |
| WE-C-TRACK 6-2 | BEST IN PHYSICS (MULTI-DISCIPLINARY): Multi-Task MR (MT-MR) for Free-Breathing Simulation in Abdominal Radiotherapy Treatment Planning J Chen1,2*, P Han1,2, F Han3, Z Hu1,2, N Wang1,2, W Yang4, D Ling4, S Palmer4, A Christodoulou1,2, D Li1,2, Z Fan4, (1) Cedars-Sinai Medical Center, Los Angeles, CA, (2) University of California, Los Angeles, Los Angeles, CA, (3) Siemens Medical Solutions USA, Inc., (4) Keck School of Medicine of USC, Los Angeles, CA |
| WE-C-TRACK 6-6 | Treatment Window Determination for Cardiac Synchronized VMAT J Poon1,2*, RB Thompson3, MW Deyell1, D Schellenberg4, K Kohli4, H Clark4, S Thomas2, (1) University of British Columbia, Vancouver, BC, CA, (2) BC Cancer - Vancouver, Vancouver, BC, CA, (3) University of Alberta, Edmonton, AB, CA, (4) BC Cancer - Surrey, Surrey, BC, CA |
| WE-C-TRACK 6-7 | Auto-Detection of Structural Similarity Index Map From Daily MRI as An Indicator for MR-Guided Online Adaptation Replanning Abdul K Parchur, Sara Lim, Haidy Nasief, Eenas Omari, Ying Zhang, X. Allen Li*, Medeical College of Wisconsin, Milwaukee, WI |
| WE-D-TRACK 6-1 | Auto-Correction of Inaccurate Auto-Segmentation for MRI-Guided Adaptive Radiotherapy J Ding1*, Y Zhang1, A Amjad1, J Xu2, D Thill2, X Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Elekta Inc., St. Charles, MO |
| WE-D-TRACK 6-2 | Multi-Parametric Ultra-Quality 4D-MRI Synthesis Using VoxelMorph-Based Deformable Image Registration H Xiao1*, T Li1, R Ni1, G Ren1, W Liu2, W Wang2, Y Zhang2, H Wu2, H Lee3, H Chang3, L Cheung3, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong, China (2) Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China (3) The University of Hong Kong, Hong Kong, China |
| WE-D-TRACK 6-4 | Synthetic Magnetic Resonance Imaging From Computed Tomography Simulation Scans Using Deep-Learning Models for High-Dose-Rate Prostate Brachytherapy H Kang1*, M Abuhamad2, A Solanki1, J Roeske1, (1) Loyola University Medical Center, Maywood, IL, (2) Loyola University Chicago, ,Chicago, IL |
| WE-D-TRACK 6-6 | Learn From What You Drew - a Deep Learning Assisted Fast Semi-Automatic Segmentation for Complex Anatomy On MRI Y Zhang*, Y Liang, A Amjad, E Ahunbay, E Paulson, W Hall, B Erickson, X Li, Medical College of Wisconsin, Milwaukee, WI |
| WE-E-TRACK 1-3 | Remote MRI Physics During a Pandemic: Challenges and Opportunities K Vigen*, L Henze Bancroft, J Garrett, F Korosec, J Holmes, University of Wisconsin-Madison, Madison, WI |
| WE-F-TRACK 3-5 | 4D MR Reconstruction Based On Real-Time 3D Ultrasound for Image-Guided Radiotherapy S Jupitz*, J Holmes, B Bednarz, University of Wisconsin, Madison, WI |
| WE-IePD-TRACK 2-1 | High Spatial Resolution Simultaneous Quantitative T1rho and T2 Mapping at 3T Q Peng1*, C Wu2, (1) Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA, (2) Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA |
| WE-IePD-TRACK 2-2 | Evaluating and Improving the Bloch Fitting Method for the Analysis of AcidoCEST MRI T Li1,2*, K Jones1, A Kotrotsou1, S Zhang1, M Pagel1 (1) UT MD Anderson Cancer Center, Houston, TX. (2) The University of Texas Health Science Center at Houston Graduate School of Biomedical Sciences, Houston, TX. |
| WE-IePD-TRACK 2-4 | MRI Super-Resolution Via Real-World-Like Training Set Preparation B Huang1*, H Xiao2, T Li2, Y Yang1, Y Yang1, J Cai2, (1) University of Science and Technology of China, Hefei, Anhui, P.R.China, (2) The Hong Kong Polytechnic University, Hong Kong, HK |
| WE-IePD-TRACK 2-6 | Classification of Tumor Progression and Radiation Necrosis Following Gamma Knife for Brain Metastases Using Radiomic Features and Clinical Variables D Mitchell*, S Buszek, B Tran, H Liu, D Luo, S Ferguson, C Chung, UT MD Anderson Cancer Center, Houston, TX |
| WE-IePD-TRACK 2-7 | Prediction of PH Using AcidoCEST MRI and Machine Learning T Li1,2*, J Cardenas-Rodriguez3, M Pagel1,2 (1) UT MD Anderson Cancer Center, Houston, TX. (2) The University of Texas Health Science Center at Houston Graduate School of Biomedical Sciences, Houston, TX. (3) Data Translator, Oro Valley, AZ. |
| WE-IePD-TRACK 3-4 | Preclinical Application of a Cross-Voxel Exchange Model for the Estimation of Tracer Transport and Drug Accumulation N Sinno1*, T Hompland2, E Taylor1, M Milosevic1, D Jaffray3, C Coolens1, (1) Princess Margaret Cancer Centre, University Health Network, Toronto, ON, (2) Oslo University Hospital, Oslo, (3) The University of Texas MD Anderson Cancer Center, Houston, TX |
| WE-IePD-TRACK 3-6 | Longitudinal Evaluation of Plan Quality Metrics During the Course of Pancreatic Online Adaptive MRI-Guided Radiotherapy J Ginn*, O Green, D Yang, A Curcuru, S Badiyan, L Henke, H Kim, A Price, Washington University School of Medicine, St. Louis, MO |
| WE-IePD-TRACK 3-7 | Super Resolution for Improving 2D Cine-MRI Resolution During MR-Guided Radiotherapy of Pancreatic Cancer Patients B Lewis1*, J Chun2, J Shin1,2, Z Ji1, J Park3, J Kim2, T Kim1, (1) Washington University in St. Louis, Saint Louis, MO, (2) Yonsei University College of Medicine, Seoul, ,KR, (3) University of Texas Southwestern, Dallas, TX |
| WE-IePD-TRACK 3-7 | Enabling Upright Radiotherapy Through the Deformation of Horizontally Acquired Images P Liu1,2*, D Waddington1,2, S Shan1,2, B Dong2, P Keall1,2, (1) ACRF Image X Institute, University of Sydney School of Health Sciences, Sydney, NSW, AU,(2) Department of Medical Physics, Ingham Institute for Applied Medical Research, Liverpool, NSW, AU |