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| MO-AB-SAN1-1 | Characterization of Positional Accuracy of a Double-Focused and Double-Stack Multileaf Collimator On An MR-Guided Radiotherapy (MRgRT) Linac Using An IC-Profiler Array K Mittauer*, P Yadav , B Paliwal , J Bayouth , School of Medicine and Public Health UW-Madison, Madison, WI |
| MO-C930-GePD-F2-1 | Assessment of the Treatment Response of Radiotherapy for Brain Metastases Using Arterial Spin Labeling Imaging c Hou*, G Gong , Y Yin , ShanDong Cancer Hospital, Jinan, 37 |
| MO-C930-GePD-F2-4 | SBRT Pancreas Target Coverage Achieved by Real-Time, On-Table Adaptive Treatment Planning Using An MR-Linac D Alvarez*, T Romaguera , A Godley , G Luciani , M Chuong , V Mishra , A Gutierrez , Miami Cancer Institute, Miami, FL |
| MO-C930-GePD-F4-3 | Novel Semi-Automatic Reconstruction Method for Plastic Gynaecological Applicators A Otal1,4*, J Vijande2,4 , F Ballester2,4 , A Forner1 , O Ripol1 , C Monfa1 , S Serrano1 , J Perez-Calatayud3,4 (1) Hospital Universitari Arnau de Vilanova, Lleida (2) University of Valencia, Burjassot (3) Hospital La Fe, Valencia (4) Medical Physics Research Group La Fe-UVEG |
| MO-E115-GePD-F1-5 | PDD Analysis of a 6 MV FFF Beam From a Jawless Linear Accelerator with Double Stacked MLCs in the Presence of a Magnetic Field E Omari*, H Lavvafi , J Roeske , A Sethi , Loyola University Chicago, Maywood, IL |
| MO-GH-SAN2-1 | A Novel Multimodal Anthropomorphic Physical Pelvis Phantom for MRI-Based Radiotherapy K Singhrao1*, J Fu1 , S Tenn1 , H Wu2 , P Hu2 , M Cao1 , A Kishan1 , R Chin1 , J Lewis1 , (1) Dept. of Radiation Oncology, University of California, Los Angeles, Los Angeles (2) Dept. of Radiology, University of California, Los Angeles, Los Angeles |
| MO-GH-SAN2-9 | Improved Glioblastoma Survival Prediction Using Deep Learning-Based Radiomic Features From Preoperative Multimodal MR Images J Fu*, K Singhrao , X Zhong , X Qi , Y Yang , D Ruan , J Lewis , UCLA School of Medicine, Los Angeles, CA |
| MO-I345-GePD-F3-2 | Characterization and Longitudinal Assessment of Daily Quality Assurance On An MR-Guided Radiotherapy (MRgRT) Linac D Dunkerley*, P Yadav , J Bayouth , K Mittauer , School of Medicine and Public Health UW-Madison, Madison, WI |
| MO-I345-GePD-F5-3 | Implementing Absolute Dose Measurements On SunNuclear ArcCHECK-MR in a 0.35T MR-Linac A Price*, A Heermann , B Maraghechi , A Curcuru , V Rodriguez , S Mutic , O Green , Washington University School of Medicine, St. Louis, MO |
| MO-I345-GePD-F5-4 | Secondary MU Check Using RadCalc for Elekta Unity MR-Linac J Yang1*, S Vedam1 , C Brink2 , M Nielsen2 , M Ji3 , L Bist3 , J Ohrt1 , J Wang1 , P Balter1 , (1) MD Anderson Cancer Center, Houston, TX, (2) Odense University Hospital, Odense, Denmark, (3) Elekta Inc, Maryland Heights, MO |
| MO-I345-GePD-F5-5 | The ERE of Photon Beams Under Transverse Magnetic Resonance Imaging (MRI) Field Strengths R Lambo1*, Y Wang2 , (1) Shenzhen Institute of Advanced Technology, CAS, Shenzhen, GZ, (2) Cancer Institute Hospital, CAMS, Warren, NJ |
| MO-I345-GePD-F7-4 | A Bulk Density Method for MRI-Only Radiation Therapy Planning for Brain Metastases J Ren*, G Gong , Y Yin , Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China; H Quan , School of Physics and Technology, Wuhan University, Wuhan, China |
| MO-K-303-6 | Enabling MRI-Guided Radiation Therapy of the Pancreas with MRI Compatible Ultrasound Sensors J Kwon1,2*, C.-C. Cheng3, F Preiswerk3, B Madore3, S Shimizu2, H Shirato2, J Bredfeldt1, (1) Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, (2) Hokkaido University, Sapporo, Japan, (3) Brigham and Women's Hospital, Boston, MA |
| PO-GePV-I-2 | Developing in Vivo Diffusion and Functional MR Imaging Biomarkers in a Knock-in Mouse Model of DYT1 Dystonia H Liu*, D Vaillancourt , University of Florida, Gainesville, FL |
| PO-GePV-I-13 | Augmentation of MRI Multi-Sequence Radiomics Data to Improvebrain Tumor Classification K Ogden1*, N Salastekar1 , D LaBella1 , A Chakraborty1 , E Oakes2 , R Mangla1 , (1) SUNY Upstate Medical Univ, Syracuse, NY, (2) Syracuse University, Syracuse, NY |
| PO-GePV-M-15 | Geometrical Analysis of Target Volume Definition On Corrected MRI Images and Its Effect On Stereotactic Radiosurgery Treatment Planning S Bagherimofidi , C Yang , W Duggar , M Kanakamedala , A Fatemi*, Department of Radiation Oncology, University of Mississippi Med. Center, Jackson, MS |
| PO-GePV-M-16 | Evaluating Geometric and Dosimetric Accuracy of Synthetic CT Images for MRI-Only Stereotactic Radiosurgery S Bagherimofidi*, C Yang , W Duggar , M Kanakamedala , A Fatemi , Department of Radiation Oncology, University of Mississippi Med. Center, Jackson, MS |
| PO-GePV-M-22 | Brain Tumor Segmentation Basedon Features Extracted From MRI Multimodal Images Using Deep Convolution NeuralNetworks B Zhang*, H Lin , Z Xue , j xu , B Liu , Z Wei , School of Electronic Science Application Physics,Hefei University of Technology, Hefei, China |
| PO-GePV-P-2 | Cardiovascular Implantable Electronic Device (CIED) MRI Safety Workflow for Radiation Therapy H Gach1*, S Mackey2 , C Gowler2 , T Benzinger1 , O Green1 , E Wittland2 , A Marko2 , S Shaikh2 , P Cuculich1 , C Robinson1 , S Mutic1 , J Michalski1 , (1) Washington University in St Louis, Saint Louis, MO, (2) Barnes Jewish Hospital, Saint Louis, MO |
| PO-GePV-T-19 | A Clinical Experience On MRI Based Volume Study for Low Dose Prostate Implant L Huang1*, J Mckee1 , D Petereit1 , (1) Regional health hospital, Rapid City,SD |
| PO-GePV-T-54 | Voxel-Level Analysis of Brain Imaging Changes in Nasopharynx Patients Treated with Proton Therapy D Mirkovic1*, GM Engeseth1,3 , P Yepes2 , R Mohan1 , S Frank1 , A Adair1,2 , Q Wang2 , B Gunn1 , (1) U.T M.D. Anderson Cancer Center, Houston, TX, (2) Rice University, Houston, TX, (3) Haukeland University Hospital, Bergen, Norway |
| PO-GePV-T-397 | Minimal Difference Between Fractionated and Single-Fraction Exposure in a Murine Model of Radiation Necrosis A Boria*, C Perez-Torres, Purdue University, West Lafayette, IN |
| SU-E-221CD-2 | Analysis of T2-Relaxation-Diffusion Correlation in Glioblastoma Using Classified Clusters Y Li*, T Lawrence , Y Cao , Department of Radiation Oncology, The University of Michigan, Ann Arbor, MI |
| SU-E-221CD-4 | Comparison of Vendor Provided Analysis Vs Computational Sequence Modeling for T2 Mapping K McPhee*, A Wilman, Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta |
| SU-F-221CD-3 | Functional Lung Avoidance Maps to Guide Radiation Therapy: Free-Breathing Proton MRI Versus Four-Dimensional CT to Measure Specific-Ventilation in Non-Small Cell Lung Cancer D Capaldi1*, K Sheikh2 , D Hoover3 , B Yaremko3 , D Palma3 , G Parraga4 , (1) Stanford University, Stanford, California, (2) Johns Hopkins University, Baltimore, MD, (3) London Regional Cancer Program, London, ON, (4) Western University, London, ON |
| SU-F-221CD-5 | Optimization of Spatial and Spectral Encoding for Hyperpolarized [1-13C]Pyruvate MRI K Michel1*, C Walker1 , M Merritt2 , J Bankson1 , (1) The University of Texas MD Anderson Cancer Center, Houston, TX, (2) University of Florida, Gainesville, FL |
| SU-F-225BCD-4 | Should We Account for Optic Nerve Motion Resulting From Eye Movement During the Radiation Treatment Planning Process? K Qing1,2*, B Liu1 , X Feng2 , Y Zhang1 , Q Chen3 , N Yue1 , X Wang1 , I Vergalasova1 ,C Sun2 , J Mugler, III2 , K Nie1 , (1) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (2) University of Virginia, Charlottesville, VA, (3) University of Kentucky, Lexington, KY |
| SU-F-225BCD-7 | Five-Dimensional Magnetic Resonance Imaging (5D-MRI) for Radiation Therapy of Abdominal Cancers L Zhang*, F Yin , L Ren , W Harris , J Cai , Duke University Medical Center, Durham, NC |
| SU-F-301-7 | Use of a Tandem and Ring Applicator Reference-CT to Improve Digitization in MR-Based Brachytherapy Planning I Malajovich1*, B Teo2 , O Dolney3 , W Arscott4 , N Taunk5 , S Anamalayil6 , (1) University of Pennsylvania, Philadelphia, PA, (2) UNIVERSITY OF PENNSYLVANIA, Philadelphia, PA, (3) University Of Pennsylvia Hospital, Philadelphia, PA, (4) Univ. of Pennsylvania, Philadelphia, ,(5) University of Pennsylvania, Philadelphia, PA, (6) University of Pennsylvania, Philadelphia, PA |
| SU-F-302-7 | Driven Damped Harmonic Oscillator for MR Motion Quality Assurance R Halford1*, D Yan2 , M Snyder2 , (1) Beaumont Hospital, Dearborn, MI, (2) William Beaumont Hospital, Royal Oak, MI |
| SU-F-SAN2-8 | Hybrid Virtual MRI/CBCT Generation Using An Unsupervised Convolutional Neural Network (CNN) with Transfer Learning Y Chen1*, F Yin2 , L Ren3 , (1) Duke University, Durham, NC, (2) Duke University Medical Center, Durham, NC, (3) Duke University Medical Center, Durham, NC |
| SU-G300-SPS-F4-4 | Comparison of Classifier Performance for Several Machine Learning Classification Tasks for Computer-Aided Diagnosis of Breast Cancer Using DCE-MRI M Vieceli1*, K Drukker2 , J Papaioannou2 , A Edwards2 , H Abe2 , M Giger2 , H Whitney1,2 , (1) Wheaton College, Wheaton, IL, (2) University of Chicago, Chicago, IL, |
| SU-I300-GePD-F5-3 | Assessment of Transarterial Radioembolization Treatment of Hepatocellular Carcinoma Using Multimodality Imaging (99mTc-MAA SPECT/CT and MRI) c Adcock , C M. Howard , E Florez , H Khosravi , A Fatemi*, University of Mississippi Med. Center, Jackson, MS |
| SU-I300-GePD-F5-5 | Treatment Assessment Using CT/PET and MRI for Therapies of Different Mechanisms of Action C Ma*, J Panetta , D Cvetkovic , X Chen , L Chen , Fox Chase Cancer Center, Philadelphia, PA |
| SU-I400-GePD-F8-1 | Deep-Learning Based Classification of Alzheimer's Disease Using Resting-State Functional MRI Time Series Z Yang1*, E Zhang1 , S Yu2 , Z Wardak1 , M Chen1 , W Lu1 , X Gu1 , (1) UT Southwestern Medical Center, Dallas, TX, (2) Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong |
| SU-I400-GePD-F8-3 | Image Synthesis in Multi-Contrast MRI with Deep Convolutional Generative Adversarial Networks D Kawahara1*, S Ozawa1 , A Saito1, K Miki1, Y Murakami1, T Kimura1, Y Nagata1, (1) Hiroshima University, Hiroshima |
| SU-I400-GePD-F8-4 | Machine Learning Based Respiratory Motion Prediction for MR-IGRT A Curcuru1 , Gach1*, (1) Washington University in Saint Louis, Saint Louis, MO |
| SU-I430-GePD-F4-2 | Characterization of a Gynaecological Titanium Applicator for Direct Reconstruction On MRI A Otal1,4*, J Vijande2,4 , F Ballester2,4 , A Forner1 , O Ripol1 , C Monfa1 , S Serrano1 , J Perez-Calatayud3,4 (1) Hospital Universitari Arnau de Vilanova, Lleida (2) University of Valencia, Burjassot (3) Hospital La Fe, Valencia (4) Medical Physics Research Group La Fe-UVEG |
| SU-I430-GePD-F8-2 | Lumbar Spine Imaging-Sagittal Plane: T1 FLAIR BLADE with and Without Parallel Imaging Is Superior Than T1 Turbo Spin Echo E Lavdas1*, M Papaioannou2 , A Tsikrika3 , E Pappas4 , G Sakkas5 , V Roka6 , S Kostopoulos7 , S Stathakis8 , N Papanikolaou9 , P Mavroidis10 , (1) University of West Attica, Athens, ,(2) Animus Kyanoys Stavros, Larissa, ,(3) General University Hospital of Larissa, Larissa, ,(4) Animus Kyanoys Stavros, Larissa, ,(5) University of Thessaly, Trikala, ,(6) Health Center of Farkadona, Trikala, ,(7) University of West Attica, Athens, ,(8) University Of Texas Health, San Antonio, TX, (9) University of Texas HSC SA, San Antonio, TX, (10) Univ North Carolina, Chapel Hill, NC |
| SU-I430-GePD-F8-3 | Lung Feature Tracking in 4DMRI Using a Scale-Invariant Feature Transform Method E Colvill1*, E Gaberdiel2 , A Lomax1 , O Bieri3 , Z Celicanin3 , D Weber1 , G Fattori1 , (1) Paul Scherrer Institute, Villigen, Switzerland, (2) Cambridge University, Cambridge, United Kingdom,(3) Division of Radiological Physics, Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland and Department of Biomedical Engineering, University of Basel, Basel, Switzerland |
| SU-I430-GePD-F8-5 | Synthesized Long-T2 Suppressed UTE/ZTE MRI with Look-Locker Inversion Recovery Sequence Q Peng1,2*, C Wu3 , (1) Montefiore Medical Center, Bronx, NY (2) Albert Einstein College of Medicine, Bronx, NY (3) Philips Healthcare, Andover, MA |
| SU-J400-CAMPUS-F1-2 | Combined Use of Gray Matter Volume and Quantitative Susceptibility Mapping to Predict Early Alzheimers Disease Using a Machine Learning-Based Optimized Combination-Feature Set HK Kim1 , HY Rhee2 , CW Ryu3 ,GH Jahng3*, (1) Radiology, Kyung Hee University Hospital, Seoul,Korea ,(2) Neurology, Kyung Hee University Hospital at Gangdong, Seoul,Korea ,(3) Radiology, Kyung Hee University Hospital at Gangdong, Seoul,Korea |
| SU-J400-CAMPUS-F2-2 | Observer-Independent, Hand-Crafted Radiomic Features Predict GBM Patient-Specific Survival E Carver1*, N Wen2 , E Liang3 , J Snyder4 , (1) Wayne State University, Troy, MI, (2) Henry Ford Hospital, Detroit, MI, (3) HFHS, Detroit, ,(4) HFHS, Detroit, |
| SU-J400-CAMPUS-F2-3 | Pre-Treatment Prediction by Hormone Receptor Subtype of Response to Neoadjuvant Chemotherapy in Node-Positive Breast Cancer Patients; a Radiomics Study K Drukker*, A Edwards , C Doyle , J Papaioannou , K Kulkarni , M Giger , University of Chicago, Chicago, IL |
| SU-K-225BCD-3 | Intravoxel Incoherent Motion Imaging and MR Texture Analysis of Healthy and Diseased Tissue During Stereotactic Body Radiotherapy of Liver Cancer B Lewis1*, E Fields1 , S Kim1 , T Kim2 , (1) Virginia Commonwealth University, Richmond, VA, (2) Washington University in St. Louis, Saint Louis, MO |
| SU-K-225BCD-4 | MR-Based Synthetic-CT Images Generated Using Cycle-Consistent Generative Adversarial Networks for Nasopharyngeal Patients Y Peng1*, S Chen2 , M Chen1 , J Miao1 , H Gu1 , C Zhao1 , X Deng1 (1) Sun Yat-Sun University Cancer Center, Guangzhou, China, (2) William Beaumont Hospital, Royal Oak, MI |
| SU-K-225BCD-5 | Performance of Deep Learning Synthetic CTs for MR-Only Brain Radiation Therapy X Liu1*, H Emami2 , S Nejad-Davarani3 , M Dong4 , E Morris5 , C Glide-Hurst6 , (1) Henry Ford Health System, Detroit, MI, (2) Wayne State Univ, Detroit, MI, (3) Ypsilanti, MI, (4) Wayne State University, Detroit, (5) (6) Henry Ford Health System, Detroit, MI |
| SU-K-303-5 | The Metabolic Evolution of Glioblastoma During Tumor Growth and Following Radiotherapy Treatment Using Hyperpolarized MRI T Salzillo*1,2 , J Gumin1 , J Lee1 , I Hassan1 , N Zacharias1 , R Colen1,2 , F Lang1,2 , P Bhattacharya1,2 , (1) The University of Texas MD Anderson Cancer Center, Houston, TX, (2) MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, |
| SU-K-SAN2-5 | Synthetic CT Generation Via a Convolutional Neural Network Using 3 Intensity Regions D Gupta*, J Balter , Univ Michigan, Ann Arbor, MI |
| SU-K-SAN2-6 | Hydraulic Phantom for MR Motion Quality Assurance M Snyder2*, R Halford1 , D Yan2 , (1) Beaumont Hospital, Dearborn, MI, (2) William Beaumont Hospital, Royal Oak, MI |
| SU-K-SAN2-7 | Feasibility of Synthetic CT Generated From Multi-Sequence MR Images Using An Adversarial Network for MR-Only Radiotherapy Y Koike1*, Y Akino2 , I Sumida1 , H Shiomi1 , H Mizuno1 , M Yagi1 , F Isohashi1 , Y Seo1 , O Suzuki1 , K Ogawa1 , (1) Osaka University Graduate School of Medicine, Suita, Osaka, JAPAN, (2) Osaka University Hospital, Suita, Osaka, JAPAN |
| SU-KL-304-2 | MRI-Based Attenuation Correction for Brain PET/MRI Based On Anatomic Signature and Machine Learning T Wang*, Y Lei , X Dong , K Higgins , T Liu , H Shim , W Curran , H Mao , J Nye , X Yang , Emory Univ, Atlanta, GA |
| SU-L-221AB-2 | Feasibility and Preliminary Results of Sparing Stem Cell Containing Salivary Ducts Via MRI Sialography in Patients with Oropharynx Cancer D Fried1*, T Zhu1 , S Das1 , C Shen1 , L Marks1 , B Chera1 , (1) University of North Carolina at Chapel Hill, Chapel Hill, NC |
| SU-L-SAN2-1 | Characterization of Electron Density Deformation in MR-Guided Online Adaptive Radiotherapy (MRgoART) K Mittauer*, L Bayouth , H Ko , A Shepard , J Bayouth , University of Wisconsin, Madison, WI |
| SU-L-SAN2-2 | Clinical Experience of Patient-Specific QA for Online Adaptive Radiotherapy Using Elekta Unity MR-Linac J Yang*, S Vedam , J Wang , C Fuller , S Choi , C Chung , M McAleer , B Lee , N Hughes , G Ungchusri , M Gillin , M Martel , P Balter , UT MD Anderson Cancer Center, Houston, TX |
| SU-L-SAN2-3 | Cumulative Dose Modeling for Organ Motion Management in MRI-Guided Radiation Therapy A Mirzapour1*, T Mazur2 , H Li2 , E Salari1 , G Sharp3 , (1) Wichita State University, Wichita, KS, (2) Washington University School of Medicine, St Louis, MO, (3) Massachusetts General Hospital, Boston, MA |
| SU-L-SAN2-6 | Motion Prediction Confidence Estimation for MRI-Guided Radiotherapy J Ginn*, D Low , J Lamb , D Ruan , University of California, Los Angeles, Los Angeles, CA |
| SU-L-SAN4-3 | Benchmarking of Low-Field MR-Linacs in a Multi-Institutional International Consortium C Glide-Hurst1*, P Yadav2 , A Gutierrez3 , G Gungor4 , D Hoffmans5 , K Mittauer2 , A Sethi6 , T Romaguera3 , R Pennell7 , M Palacios5 , E Omari6 , S Meeks8 , H Mailleux9 , O Green10 , P Fau9 , A Doemer1 , J.K. DeWyngaert7 , K Boye11 , A Shah8 , S Klueter12 , R Lotey13 , M Bellon13 , (1) Henry Ford Health System, Detroit, MI, (2) School of Medicine and Public Health UW-Madison, Madison, WI, (3) Miami Cancer Institute, Miami, FL, (4) INSTITUTE OF HEALTH SCIENCE OF ACIBADEM UNIVERSITY, Istanbul, (5) Amsterdam University Medical Center, Amsterdam, Netherlands, (6) Loyola Univ Medical Center, Maywood, IL, (7)New York Presbyterian, New York, NY, (8) UF Health Cancer Center at Orlando Health, Orlando, FL, (9) Institut Paoli-Calmettes, Marseille, France,(10) Washington University School of Medicine, St. Louis, MO, (11) Rigshospitalet Copenhagen, Denmark,(12) Heidelberg University Hospital, Heidelberg, Germany, (13) ViewRay Incorporated, Mountain View, CA |
| TH-A-225BCD-4 | Adaptive Boosting and Multi-Layer Perceptron Neural Network (ADMLP-NN) for Predicting Real-Time 3D Deformation Field Maps (DFM) for 4D Target Tracking J Pham1*, W Harris2 , W Sun3 , Z Yang4 , F Yin1 , L Ren1 , (1) Duke University Medical Center, Durham, NC, (2) University of Pennsylvania, Philadelphia, PA, (4) Shandong University, Qingdao, China, (5) UT Southwestern Medical Center, Dallas, TX |
| TH-A-225BCD-7 | Evaluation of DIR-Based Lung Ventilation Imaging Against Hyperpolarized Gas Ventilation MRI and Hyperpolarized Gas Tagging MRI I Duarte1*, S Lam2 , T Cui3 , G Miller4 , W Garrison4 , J Mugler, III4 , M Shim4 , G Cates4 , F Yin1 , J Cai1,2 , (1) Duke University Medical Center, Durham, NC, (2) Hong Kong Polytechnic University, Hong Kong, (3) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (4) University of Virginia, Charlottesville, VA |
| TH-A-303-2 | High Resolution 3D FGRE Is Feasible for Brain MR Elastography with High Performance Compact 3T Scanner in Healthy Volunteers and Patients with Brain Tumors A Arani*, R Grimm , M Murphy , J Trzasko , R Ehman , M Bernstein , J Huston , Mayo Clinic, Rochester, MN |
| TH-A-303-4 | Comparison Between Deep Learning and Total Generalized Variation Methods for Fast MRI Z Jiang*, F Yin, Z Chang , Duke University Medical Center, Durham, NC |
| TH-A-303-6 | Evaluation of Brain Normalization Methods and Their Effect On the Construction of Functional Connectomics in Patients with Gliomas H Chen*, V Kumar , J Johnson , K Noll , S Prabhu , D Schomer , H Liu , UT MD Anderson Cancer Center, Houston, TX |
| TH-A-303-9 | MRI Radio Frequency Power Amplifier Linearization with Pre-Distortion Based On Artificial Neural Network W Lu*, W Lu , L Shi , K Hou , H Zhao , J Qiu , Department of Radiology, Taishan Medical University, Taian, Shandong |
| TH-A-303-10 | Parallel Imaging Compressed Sensing in Fully Balanced SSFP for Prostate Brachytherapy MRI: Pulse Sequence Development and Validation in a Phantom Study J Sanders*, S Frank , J Ma , University of Texas MD Anderson Cancer Center, Houston, TX |
| TH-A-303-11 | Radiotherapy-Specific Imaging Prior Knowledge and Its Impact in Deep Learning Based Cranial Pseudo-CT Generation M Law*, J Yuan* , G Lo^ , O Wong* , Y Zhou* , S Yu* , *Medical Physics and Research Department, ^Department of Diagnostic & Interventional Radiology, Hong Kong Sanatorium & Hospital, Hong Kong |
| TH-A-SAN2-9 | Mid-Treatment Gd-EOB-DTPA-Enhanced MRI and Interleukin 6 Cytokine as Biomarkers of Radiation-Induced Liver Toxicity in Metastatic Liver Patients A Ajdari1*, Y Xie1 , C Richter2 , T Hong1 , T Bortfeld1 , (1) Massachusetts General Hospital, Boston, MA, (2) OncoRay, Dresden, Germany |
| TH-A-SAN2-11 | Real-Time 3D Scintillation Imaging Enables Rapid End-To-End Verification of Online Adaptive Replanning On MR-Linac P Bruza1*, M Ashraf1 , J Cammin2 , B Maraghechi2 , B Pogue1 , O Green2 , (1) Dartmouth College, Hanover, NH, (2) Washington University, School of Medicine, St. Louis, MO |
| TH-A-SAN2-12 | A Framework of Automatic Contour Quality Validation for MRI-Guided Online Adaptive Radiation Therapy Y Zhang*, F Ceballos , E Ahunbay , X Li , Medical College of Wisconsin, Milwaukee, WI |
| TH-BC-225BCD-1 | Evaluation of a New Highly Flexible, Low Profile RF Coil for MR Simulation of the Head and Neck K McGee1*, P Rossmann1 , R Stormont2 , S Lindsay2 , J Huston1 , N Campeau1 , K Welker1 , J Christopherson1 , R Molthen2 , V Goruganti3 , (1) Mayo Clinic, Rochester, MN, (2) GE Healthcare, Waukesha, WI, (3) NeoCoil Inc, Pewaukee, WI |
| TH-BC-225BCD-2 | Strategically Acquired Gradient Echo (STAGE) Imaging for MRI-Only Stereotactic Radiosurgery Planning E Florez*, E Haacke , C M. Howard , R Hamidi , A Fatemi , University of Mississippi Med. Center, Jackson, MS |
| TH-BC-225BCD-3 | A Framework for Auto-Segmentation of Gross Tumor Volume Based On Multi-Parametric MRI Using Deep Learning Algorithms Y Liang, D Schott, Y Zhang, H Nasief, E Paulson, W Hall, P Knechtges, B Erickson, X Li, Medical College of Wisconsin, Milwaukee, WI |
| TH-BC-225BCD-6 | Focal Liver Reaction Threshold Dose in Liver Stereotactic Body Radiation Therapy (SBRT): Does Inter-Fractional Variability Matter? S Kuznetsova1*, P Grendarova2 , S Roy3 ,R Sinha2 , N Ploquin1,4 , K Thind1,4 , (1)Department of Physics and Astronomy, University of Calgary, Calgary, AB, Canada (2) Department of Oncology, Division of Radiation Oncology, Tom Baker Cancer Center, Calgary, AB, Canada (3) Department of Radiation Oncology, The Ottawa Hospital Cancer Program, University of Ottawa, Ottawa,Ontario, Canada (4) Department of Oncology, Division of Medical Physics, Tom Baker Cancer Centre, Calgary, AB, Canada |
| TH-BC-225BCD-9 | BEST IN PHYSICS (MULTI-DISCIPLINARY): Rapid Multi-Contrast Brain Imaging at 0.35T to Facilitate Tumor Response Assessment and Functional Adaptive Radiation Therapy N. Zakariaei1*, Y. Chen2, S Nejad-Davarani 3, E.M. Haacke1,4, C Glide-Hurst1,3 (1) Wayne State University, Detroit, MI, (2) Wayne State University School of Medicine, Detroit, (3) Henry Ford Cancer Institute, Detroit, MI (4) The MRI Inst. for Biomedical Research, Detroit, MI |
| TH-BC-225BCD-11 | Fully Automated Multi-Organ Segmentation in Abdominal MRI with DenseUnet Y Chen1, 2*, J Xiao1 , L Wang1 , B Sun3 , Z Deng1 , Y Lao1, 4 , N Wang1, 2 , R Saouaf1 , R Tuli1 , D Li1, 2 , W Yang1, 4 , Z Fan1, 2 , (1) Cedars-Sinai Medical Center, Los Angeles, CA, USA (2) University of California Los Angeles, Los Angeles, CA, USA(3) Fujian Medical University Union Hospital, Fuzhou, Fujian, China (4)University of Southern California, Los Angeles, CA, USA |
| TH-BC-303-7 | A Potential Approach of Real-Time Motion Tracking of MR-Guided-Radiotherapy Using Ultra-Fast Volumetric 4D-MRI Generated VOI Positional Probability Distribution O Wong*, J Yuan , Y Zhou , S Yu , K Cheung , Hong Kong Sanatorium & HospitalHong Kong |
| TH-BC-303-8 | Image Regression Motion Prediction for MRI-Guided Radiotherapy J Ginn*, D Ruan , D Low , J Lamb , University of California, Los Angeles, Los Angeles, CA |
| TH-BC-303-9 | A 2.5D+1 Model for Improved Targeting Accuracy in MR Linac J Wu*, G Yan , S Samant , University of Florida, Gainesville, FL |
| TH-BC-303-10 | Real-Time Prediction of Patient Respiration-Induced Target Motion with Using Recurrent Neural Network (RNN) and Online Training: Feasibility Study for MRI Guided Tumor-Tracking Radiotherapy A Qin1*, M Lachaine2 , D Yan1 , (1) William Beaumont Hospital, Royal Oak, MI, (2) Elekta, Montreal, QC |
| TU-AB-221AB-5 | Disease Progression in Idiopathic Pulmonary Fibrosis: The Potential for Stratifying Patients Using Hyperpolarized Xenon-129 Magnetic Resonance Imaging L Rankine1,2*, Z Wang2 , J Wang3 , M He2 , H McAdams2 , J Mammarappallil2 , C Rackley2 , B Driehuys2 , R Tighe2 , (1) The University of North Carolina at Chapel Hill, NC, (2) Duke University, Durham, NC, (3) The Ohio State University Wexner Medical Center, Columbus, OH |
| TU-AB-225BCD-9 | Quantitative Magnetic Resonance Fingerprinting (MRF) Has Lower Intra-/Inter-Scanner Variability and Higher Contrast-To-Noise-Ratio Vs. Conventional Contrast-Weighted MRI: Implications for Radiomics and Machine-Learning Applications L Lu1*, Y Chen2 , J Lian1 , D Fried1 , S Das1 , L Marks1 , W Lin2 , T Zhu1 , (1) Dept. Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (2) Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA |
| TU-AB-303-0 | Novel Aspects and Clinical Implementation of Focused Ultrasound S Sammet1*, R Chopra2*, Z Xu3*, M O'Reilly4*, (1) University of Chicago, Chicago, IL, (2) UT Southwestern Medical Ctr at Dallas, Dallas, TX, (3) University of Michigan, Ann Arbor, MI, (4) Sunnybrook Health Sciences Centre, Toronto, ON |
| TU-AB-SAN2-2 | Deep Spatial Pyramid Convolutional Framework-Based MR-Only Breast Radiation Therapy S Olberg1*, W Kennedy1,2 , J Chun3 , A Marko2 , V Rodriguez1,2 , I Zoberi1,2 , M Thomas1,2 , J Kim3 , S Mutic1,2 , O Green1,2 , J Park1,2 , (1) Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, (2) Department of Radiation Oncology, Barnes Jewish Hospital - Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, (3) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea |
| TU-AB-SAN2-9 | Investigating Radiomics to Predict Positive Lymph Nodes in Oral Cavity Squamous Cell Carcinoma (OSCC) A Traverso12*, A Hosni-Abdalaty2 , M Hasan2 , J Kim2 , J Ringash2 , J Cho2 , S Bratman2 , A Bailey2 , J Waldron9 , M Welch2 , J Irish3 , B O'Sullivan2 , J De Almeida3 , M Giuliani2 , D Chepeha2 , D Goldstein2 , D Jaffray2 , L Wee1 , A Dekker1 , A Hope2 , (1) MAASTRO Clinic, Maastricht, The Netherlands ,(2) Princess Margaret Cancer Centre, Toronto, Canada (3) University Health Network, Toronto, Canada |
| TU-AB-SAN2-10 | Robustness of Conditional Generative Adversarial Networks in Generating Head and Neck Synthetic CT Images for MR-Only Radiotherapy Treatment Planning P Klages*, I Benslimane , S Riyahi , J Jiang , M Hunt , J Deasy , H Veeraraghavan , N Tyagi , Memorial Sloan Kettering Cancer Center, New York, NY |
| TU-C1000-GePD-F2-2 | Dosimetric Impact of Bulk Assignment Versus Deformed CT-Based Electron Density in Abdominal MR-Linac Planning T Romaguera1*, A Godley2 , D Alvarez3 , V Mishra4 , A Gutierrez5 , G Luciani6 , (1) Miami Cancer Institute, Miami, FL, (2) Miami Cancer Institute, Miami, FL, (3) Miami Cancer Institute, Miami, FL, (4) Baptist Hospital, Miami, FL, (5) Miami Cancer Institute, Miami, FL, (6) Miami Cancer Institute, Miami, |
| TU-C1000-GePD-F2-3 | Generating Pseudo-CT for MRI-Only RT Using T1-Weighted and T2-Weighted MRI Images S Leu1*, Z Lin1 , Z Huang2 , (1) East Carolina University, Greenville, NC, (2) Saint Thomas Hospital, Brentwood, TN |
| TU-C1000-GePD-F2-5 | Synthetic CT Generation Using Unpaired Images in a CycleGAN with Identity Loss Z Sun1 , S Baek1 , S Yaddanapudi1 , J St-Aubin1*, University of Iowa, Iowa City, IA |
| TU-C1030-GePD-F2-1 | Dynamic Contrast Enhanced MRI for Semi-Quantitative Perfusion Analysis On a 0.35 T MR System: A Proof of Concept C Colbert *, Y Gao, A Raldow, P Hu, Y Yang, UCLA, Los Angeles, CA |
| TU-C1030-GePD-F2-2 | Feasibility of 4DMRI with Pseudo-Real-Time 3D Acquisition Q Peng1,2*, S Hsu1,2 , C Teng1,2 , C Wu3, W Tome1,2 , (1) Montefiore Medical Center, Bronx, NY (2) Albert Einstein College of Medicine, Bronx, NY (3) Philips Healthcare, Andover, MA |
| TU-C1030-GePD-F2-4 | PDFF Quantification for the Assessment of Red Bone Marrow During RT M Bydder1 , Y Yang2*, Y Gao1 , F Ali1 , M. Steinberg2 , D Low2 , P Hu1 , (1) UCLA, Radiology, Los Angeles, CA, (2) UCLA, Radiation Oncology, Los Angeles, |
| TU-C1030-GePD-F2-5 | Synthetic CTs Generated by Deep Learning Approaches: How Good Are They for Radiomics Analysis? F Tixier*, P Klages , S Riyahi , J Jiang , H Um , N Tyagi , R Young , H Veeraraghavan , Memorial Sloan-Kettering Cancer Center, New York, NY |
| TU-C930-GePD-F2-1 | A Novel Library-Matching Approach to Reconstruct Time-Resolved 4DMRI Via Full and Sparse Sampling Using Golden-Angle Radial Acquisition and Compressed Sensing Reconstruction: A Simulation Study X Nie*, L Feng , K Zakian , R Otazo , G Li , Memorial Sloan Kettering Cancer Center, New York, NY |
| TU-C930-GePD-F2-2 | Evaluation of An MRI-Positive HDR Lumen Markerfor HDR Brachytherapy Treatment Planning N Eclov*, O Craciunescu , J Chino , Z Chang , Duke University Medical Center, Durham, NC |
| TU-C930-GePD-F2-3 | Improving MRI Image Quality in the Presence of 17G Calypso Beacons Using Clinically Available Artifact Reduction Techniques B Koger1*, M Hoff1 , C Brunnquell1 , D Hitt2 , J Meyer1 , (1) University of Washington, Seattle, WA, (2) Philips Healthcare North America, Gainesville, FL |
| TU-C930-GePD-F4-1 | Evaluation of a Plastic Scintillation Detector for Commissioning Data Acquisition in An MR-Guided Linear Accelerator B Barraclough*, K Mittauer , D Jacqmin , A Antolak , P Yadav , University of Wisconsin, Madison, WI |
| TU-C930-GePD-F4-6 | Development of a 3D-Printed Deformable Prostate Insert for a Novel Pelvic End-To-End (PETE) Phantom to Benchmark Adaptive Radiation Therapy C Miller1,2*, J Mourad2, S Foley2, K Labash2, B Brichacek2, J Cunningham1, C Glide-Hurst1,3, (1) Department of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI, (2) Department of Biomedical Engineering, Wayne State University, Detroit, MI, (3) Department of Radiation Oncology, Wayne State University, Detroit, MI |
| TU-C930-GePD-F6-5 | A Comparison of Different Data Augmentation Methods in Isocitrate Dehydrogenase 1 (IDH1) Mutation Prediction H Xiao1*, Z Chang2 , (1) Duke Kunshan University, Kunshan, Jiangsu,(2) Duke University Medical Center, Durham, NC |
| TU-C930-GePD-F7-4 | Accumulated Dose and Maximum Expansion of the Esophagus Predict Radiation-Induced Acute Esophagitis in Non-Small Cell Lung Cancer S Riyahi*, P Zhang , A Rimner , N Tyagi , R Kuo , C Wang , Y Hu , E Yorke , W Lu , J Deasy , M Thor , Memorial Sloan Kettering Cancer Center, New York, NY |
| TU-E-221AB-6 | Low-Dose Imaging Technique (LITE) MRI: Initial Experience in Breast Imaging F Pineda*, D Sheth , M Medved , H Abe , G Karczmar , The University of Chicago, Chicago, IL |
| TU-E-221AB-7 | Determining Relative T2 Relaxation Rates of Breast and Tibial Bone Marrow Fat Tissue with Magnetic Resonance Spectroscopy at 3T C.J. Fallone1*, A. Yahya1,2 , (1) Department of Oncology, University of Alberta, Edmonton, AB, Canada (2) Department of Medical Physics, Cross Cancer Institute, Edmonton, AB, Canada |
| TU-F115-GePD-F6-5 | Effects of Age-Related Breathing Patterns On the Accuracy of Prospectively Sorted 4D MRI J Uh1*, M Kadbi2 , C Hua1 , (1) St. Jude Children's Research Hospital, Memphis, TN, (2) Philips Healthcare, Gainesville, FL |
| TU-HI-303-0 | Advances in Image-Guided Focused Ultrasound Applications B Denis de Senneville1*, A Payne2*, C Lafon3*, H Chen4*, (1) Universite de Bordeaux, Cedex, France, (2) University of Utah Hospitals, Provo, UT, (3) INSERM U281, Lyon, Cedex, France,(4) Washington University in St.Louis, University City, MO |
| TU-HI-SAN2-5 | Deep Learning MC: Fast CNN-Based Prediction of Monte Carlo Dose for MR-Guided Treatment Planning R Neph*, Y Huang , Y Yang , K Sheng , UCLA Radiation Oncology, Los Angeles, CA |
| TU-HI-SAN2-8 | Longitudinal Segmentation of Parotid Gland Changes From MRI Through Unsupervised Cross-Modality Deep Learning Through Structure-Specific Appearance Constraints J Jiang1*, H Um2 , Y Hu3 , N Tyagi4 , C Wang5 , N Lee6 , J Deasy7 , S Berry8 , H Veeraraghavan9 , (1) MSKCC, New York, NY, (2) Memorial Sloan Kettering Cancer Center, New York, NY, (3) Memorial Sloan Kettering Cancer Center, New York, NY, (4) Memorial Sloan-Kettering Cancer Center, New York, NY, (5) Memorial Sloan Kettering Cancer Center, New York, NY, (6) Memorial Sloan Kettering Cancer Center, New York, NY, (7) Memorial Sloan Kettering Cancer Center, New York, NY, (8) Memorial Sloan Kettering Cancer Center, New York, NY, (9) Memorial Sloan Kettering Cancer Center, New York, NY |
| TU-HI-SAN2-9 | Multiparametric Breast MRI Radiomics in Distinguishing Between Benign and Malignant Breast Lesions Q Hu1*, H Whitney1,2 , A Edwards1 , J Papaioannou1 , M Giger1 , (1) University of Chicago, Chicago, IL, (2) Wheaton College, Wheaton, IL |
| TU-J345-GePD-F6-2 | Head and Neck MR-CT Registration Using Deep Learning Derived Synthetic CT E McKenzie1*, D Ruan1 , D O'Connor2 , M Cao1 , A Santhanam1 , K Sheng1 , (1) UCLA, Los Angeles, CA, (2) University of San Francisco, San Francisco |
| TU-J345-GePD-F8-3 | Fast Distortion-Free T2 Imaging Using DIADEM Combined with Tilted-CAIPI On a Compact 3T Scanner with High-Performance Gradients MH In*, D Kang, U Yarach, Y Shu, JD Trzasko, J Huston, MA Bernstein, Mayo Clinic, Rochester, MN |
| TU-K430-CAMPUS-F2-1 | Automated Semantic Segmentation for MR-Only Breast Radiation Therapy Using a Deep Spatial Pyramid Convolutional Framework S Olberg1*, J Chun2 , W Kennedy1 , J Park3 , B Choi2 , V Rodriguez1 , I Zoberi1 , M Thomas1 , J Kim2 , S Mutic1 , O Green1 , J Park1 , (1) Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, (2) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea, (3) Department of Radiation Oncology, University of Florida, Gainesville, FL |
| TU-K430-CAMPUS-F2-2 | Dosimetric Impact of Magnetic Resonance Imaging Distortion On Photon and Proton Treatment Plans Y Yan1*, J Yang2 , L Zhao1 , J Uh1 , J Zhu1 , Y Ding2 , T Merchant1 , J Wang2 , C Hua1, (1) St. Jude Children's Research Hospital, Memphis, TN, (2) MD Anderson Cancer Center, Houston, TX, |
| TU-K430-CAMPUS-F2-4 | Evaluating the Accuracy of Geometrically Corrected MR Images for Intracranial Brain Tumor Radiotherapy S Bagherimofidi1*, C Yang2 , W Duggar3 , M Kanakamedala4 , A Fatemi5 , (1) University of Mississippi Medical Center, Jackson, MS, (2) Department of Radiation Oncology, University of Mississippi Med. Center, Jackson, MS, (3) University of Mississippi Med. Center, Jackson, MS, (4) Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS, (5) University of Mississippi Med. Center, Jackson, MS |
| TU-K430-CAMPUS-F2-5 | PTV Reduction with Time-Weighted Mid-Position Images for 4D-MRI Guided Online Adaptive Radiation Therapy A Tai*, X Chen , N Mickevicius , E Paulson , E Ahunbay , X Li , Medical College of Wisconsin, Milwaukee, WI |
| TU-L-225BCD-5 | MRI Super-Resolution Reconstruction for MRI-Guided Adaptive Radiotherapy Using Cascaded Deep Learning: In the Presence of Limited Training Data and Unknown Translation Model J Chun1,3*, H Gach1,2 , S Olberg1 , T Mazur1 , O Green1 , T Kim1 , H Kim1 , J Kim3 , S Mutic1 , J Park1 , (1) Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, (2) Departments of Radiology and Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, (3) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea |
| TU-L-225BCD-9 | Dynamic MRI Reconstruction Using Simultaneous K-Space-Driven Motion Estimation and Compensation (SK-MEC) Y Zhang1*, Z Iqbal1 , C Shen1 , C Wang2 , S Jiang1 , J Wang1 , (1) UT Southwestern Medical Ctr at Dallas, Dallas, TX, (2) Duke University Medical Center, Durham, NC |
| TU-L-304-5 | Molecular Subtype Classification in Low Grade Glioma with Accelerated Diffusion Tensor Imaging E Aliotta1*, H Nourzadeh1 , P Batchala2 , S Mukherjee2 , S Patel2 , (1) University of Virginia Department of Radiation Oncology, Charlottesville, VA, (2) University of Virginia Department of Radiology, Charlottesville, VA |
| WE-AB-221CD-0 | ISMRM-AAPM Joint Symposia: MR Safety for Experts A Panda1*, R Stafford2*, C Glide-Hurst3*, A Fagan4*, R Stafford5*, (1) Mayo Clinic, Arizona, Scottsdale, AZ, (2) UT MD Anderson Cancer Center, Houston, TX, (3) Henry Ford Health System, Detroit, MI, (4) Mayo Clinic, Rochester, MN, (5) UT MD Anderson Cancer Center, Houston, TX |
| WE-AB-225BCD-5 | Harmonization of Radiomic Features of Breast Lesions Extracted From DCE-MRI Across Two Populations H Whitney1,2*, H Li1 , Y Ji1,3 , A Edwards1 , J Papaioannou1 , P Liu3 , M Giger1 , (1) University of Chicago, Chicago, IL, (2) Wheaton College, Wheaton, IL,(3) Tianjin Medical University Cancer Institute and Hospital, Tianjin, China |
| WE-AB-225BCD-8 | Predicting Volumetric Expansion of Esophagus During Lung Radiotherapy C Wang*, S Riyahi , Y Hu , S Nadeem , N Tyagi , R Kuo, A Rimner , J Deasy , P Zhang , Memorial Sloan Kettering Cancer Center, New York, NY |
| WE-AB-225BCD-10 | The Influence of SABR Fractionation and Imaging Delay Time On Post-Radiotherapy DCE-MRI Response Assessment in Early Stage Breast Cancer Patients M Mouawad1,2,3*, H Biernaski2 , M Brackstone3,4 , M Lock3,4 , B Yaremko3,4 , O Shmuilovich2 , A Kornecki2 , I Nachum2 , F S. Prato1,2 , R. T. Thompson1,2 , S Gaede1,2,3,4 , N Gelman1,2,4 , (1) Western University, London, ON, (2) Lawson Health Research Institute, London, ON, (3) London Regional Cancer Program, London, ON, (4) London Health Sciences Center, London, ON |
| WE-AB-303-6 | Evaluation of a Novel MR-Compatible 3D Scanner J Kim1*, T Mertens2 , D Du1 , A Doemer1 , J Dolan1 , I Xhaferllari3 , I Chetty1 , N Wen1 , (1) Henry Ford Health System, Detroit, MI, (2) LAP GmbH, Germany,(3) William Beaumont Hospital, Troy, MI |
| WE-C1000-GePD-F8-1 | Acceleration of Localized Correlated Spectroscopy Using Deep Learning: A Pilot Simulation Study D Nguyen1*, Z Iqbal1 , M Thomas2 , S Jiang1 , (1) UT Southwestern Medical Center, Dallas, TX, (2) UCLA, Los Angeles, CA |
| WE-C1000-GePD-F8-3 | Deep Learning for the Intravoxel Incoherent Motion Model of DW-MRI D You*, Y Cao , The University of Michigan, Ann Arbor, MI |
| WE-C1000-GePD-F8-4 | Linearity of R1 with Temperature in Trifluoroacetate: Development of Fluorine-19 MRI Thermometry for Thermochemical Ablation E Thompson*, S Einstein , J Bankson , E Cressman , The University of Texas MD Anderson Cancer Center, Houston, TX |
| WE-C1000-GePD-F8-6 | The Systematic Error of Phase, Magnetic Moment Or Susceptibility of a Cylindrical Object Using a Multi-Channel Rf Coil with Parallel Imaging Technique C Hsieh1,2*, J Hsu3 , (1) Institution for Radiological Research, Chang Gung University, Taoyuan, Taiwan, ROC, (2) Imaging Core Lab, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan, ROC (3) Dept. of Neurology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan, ROC |
| WE-C1030-GePD-F6-5 | Radiological and Dosimetric Characterization of a CT, MRI and Ultrasound Customizable Breast Phantom for Radiotherapy Use and Surgical Practice G Aldosary1*, T Tse2 , W Lee3 , T Alotaibi4 , C Foottit5,6 , A Arnaout2,7 , J Caudrelier3,8 , E Vandervoort5,6 , J Belec5,6 , (1) Carleton University, Ottawa, Canada (2) General Surgery, The Ottawa Hospital, Ottawa, Canada (3) Radiation Medicine, The Ottawa Hospital, Ottawa, Canada (4) Medical Imaging, The Ottawa Hospital, Ottawa, Canada (5) Department of Radiology, Faculty of Medicine, The University of Ottawa, Ottawa, Canada (6) Medical Physics, The Ottawa Hospital, Ottawa, Canada (7) Department of Surgery, The University of Ottawa, Ottawa, Canada (8) Department of Medicine, The University of Ottawa, Ottawa, Canada |
| WE-C1030-GePD-F8-5 | Novel CT and MR Compatible Phantom to Mimic Liver Fat Concentration R Zhao*, D Hernando , K Li , J BRITTAIN , P PICKHARDT , S REEDER , University of Wisconsin-Madison, Madison, WI |
| WE-C930-GePD-F6-1 | A 2-Hydroxyglutarate(2HG) MRS Phantom for Periodic Quality Control Testing P Hou1*, H Liu2 , T Salzillo3 , J Johnson4 , C Choi5 , R Stafford6 , (1) UT MD Anderson Cancer Center, Houston, TX, (2) UT MD Anderson Cancer Center, Houston, TX, (3) UT MD Anderson Cancer Center, Houston, TX, (4) UT MD Anderson Cancer Center, Houston, TX, (5) UT southwestern, Medical Center, Dallas, TX, (6) UT MD Anderson Cancer Center, Houston, TX |
| WE-C930-GePD-F6-5 | MR-Linac Image Distortion and Stability T Romaguera*, T Poozhikala , D Alvarez , A Gutierrez , V Mishra , A Godley , Miami Cancer Institute, Miami, FL |
| WE-HI-303-7 | Detection of Dosimetrically Relevant Anatomical Changes Near the Pancreas with MRI Compatible Ultrasound Sensors J Kwon1,2, D Brivio1, J Mancias1, C.-C. Cheng3, F Preiswerk3, B Madore3, J Bredfeldt1*, (1) Brigham and Women's Hospital, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, (2) Hokkaido University, Sapporo, Japan, (3) Brigham and Women's Hospital, Boston, MA |
| WE-HI-SAN2-4 | Exploring a Novel Concept for Direct Proton Beam Measurement Via Its Magnetic Field: A Simulation Study M Raedler* , G Dedes , K Parodi , M Riboldi , Ludwig-Maximilians-Universitaet Muenchen Department for Medical Physics (LS Parodi), Garching, BY |
| WE-HI-SAN2-8 | MRI-Integrated Proton Therapy: Is There a Clinical Need? M Moteabbed1*, J Smeets2 , T Hong1 , G Janssens2 , R Labarbe2 , J Wolfgang1 , T Bortfeld1 , (1) Massachusetts General Hospital, Boston, MA, (2) Ion Beam Applications, Louvain-la-neuve |
| WE-HI-SAN2-11 | Monte Carlo Dosimetric Assessment of Synthetic CT Images Generated Using a Deep Learning Approach for MRI-Only Proton Treatment Planning S Kazemifar1*, A Barragan Montero2 , K Souris3 , S Rivas4 , X Geets5 , R Timmerman6 , Y Park7 , S Jiang8 , E Sterpin9 , A Owrangi10 , (1) UTSW, Dallas, TX, (2) Universite Catholique de Louvain, Brussels, VBR, (3) UCL, Brussels, ,(4) ,Leuven, ,(5) Imagerie Moleculaire et Radiotherapie Experimental, Brussels, ,(6) UT Southwestern Medical Center, Dallas, TX, (7) UT Southwestern Medical Center, Dallas, TX, (8) UT Southwestern Medical Center, Dallas, TX, (9) ,Leuven, VBR, (10) UT Southwestern Medical Center, Dalllas, TX |
