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| MO-AB-221AB-1 | BEST IN PHYSICS (IMAGING): Multiplexed Spectral Computed Tomography (CT) Imaging of Three Contrast Agents C A S Dunning1*, J O'Connell1 , K Murphy1 , S Robinson1 , K Iniewski2 , M Bazalova-Carter1 , (1) University of Victoria, Victoria, BC (2) Redlen Technologies, Saanichton, BC |
| MO-AB-221AB-2 | A KV-MV Cone Beam CT Metal Artifact Reduction Technique Using a Multi-Layer MV Imager and Poly-Energetic Correction M Jacobson1*, M Lehmann2, P Huber2, M Myronakis1, M Shi4, D Ferguson1, I Lozano1, P Baturin3, T Harris1, R Fueglistaller2, C Williams1, D Morf2, R Berbeco1 (1) Brigham and Women's Hospital, Dana-Farber Cancer Institute, and Harvard Medical School, Boston, MA (2) Varian Medical Systems, Baden-Dattwil, Switzerland (3) Varian Medical Systems, Palo Alto, CA (4) University of Massachusetts, Lowell, Lowell MA |
| MO-AB-221AB-4 | Improving Low-Dose Cone Beam CT Image Quality Via Convolutional Neural Network N Yuan1,2, S Rao3 , B Dyer3 , S Benedict3 , Y Kang1 , J Qi2 , Y Rong*3 , (1) Northeastern Univerisity, Shenyang (2) Univerisity of California, Davis, Davis, CA (3) UC Davis Cancer Center, Sacramento, CA |
| MO-AB-221AB-5 | Low Dose KV-MV Cone Beam CT with a Multi-Layer MV Imager and Edge-Preserving Sinogram Denoising M Jacobson1*, M Lehmann2, P Huber2, A Wang3, M Myronakis1, M Shi4, D Ferguson1, I Lozano1, Y Hu1, P Baturin3, T Harris1, R Fueglistaller2, J Star-Lack3, C Williams1, D Morf2, R Berbeco1 (1) Brigham and Women's Hospital, Dana-Farber Cancer Institute, and Harvard Medical School, Boston, MA (2) Varian Medical Systems, Baden-Dattwil, Switzerland (3) Varian Medical Systems, Palo Alto, CA (4) University of Massachusetts, Lowell, Lowell MA |
| MO-AB-221AB-6 | Multi-Energy Element-Resolved Cone Beam CT for Radiotherapy Image Guidance Under Low-Concentration Iodine Contrast Agent H Jung*, C Shen , Y Gonzalez , M Yang , X Jia , University of Texas Southwestern Medical Center, Dallas, TX |
| MO-AB-221AB-8 | ResNet-Based Marker-Free Prostate 6D Auto-Setup in the Cone-Beam CT Guided Radiation Therapy X Liang1,2*, W Zhao1 , Y Xie2 , L Xing1 , (1) Stanford Univ School of Medicine, Stanford, CA, (2) Shenzhen Institutes of Advanced Technology, Shenzhen, Guangdong |
| MO-AB-221AB-9 | Student Beats the Teacher: Deep Learning Using a 3D Convolutional Neural Network (CNN) for Augmentation of CBCT Reconstructed From Under-Sampled Projections Z Jiang*, F Yin , L Ren , Duke University Medical Center, Durham, NC |
| MO-AB-221AB-10 | Experimental Development and Validation of a Rotational Blocker Concept for Under Sample CBCT Reconstruction and Scatter Correction in Radiation Therapy: End to End Confirmation N Hassan Rezaeian1*, Y Xu2 , B Li1 , C Shen1 , L Zhu3 , X Jia1 , (1) The University of Texas Southwestern Medical Ctr, Dallas, TX, (2) Southern Medical University, Guang Zhou, (3) Georgia Institute of Technology, Atlanta, GA, |
| MO-AB-221AB-11 | Accelerated Model-Based Iterative 3D Image Reconstruction Using a Multi-Level Morphological Pyramid A Sisniega1*, J W Stayman1 , S Capostagno1 , C R Weiss1 , T Ehtiati2 , J H Siewerdsen1 , (1) Johns Hopkins University, Balitmore, MD, (2) Siemens Medical Solutions USA |
| MO-E115-GePD-F2-1 | Delta Radiomics: Assessment of Tumor Response for Lung SBRT Patients Using Daily CBCT S Meade1*, G Ge2 , J Molloy3 , D Pokhrel4 , (1) ,Lexington, KY, (2) ,Lexington, KY, (3) Univ Kentucky, Lexington, KY, (4) University of Kentucky, Lexington, KY |
| MO-E115-GePD-F7-5 | Comparison of Dosimetric Evaluations Using Deformed Planning CT and Deep-Learning Corrected CBCT to Quality Assurance CT for Monitoring Anatomy Changes During Proton Therapy A Stanforth*, K Langen , L Lin , A Dhabaan , Y Lei , Y Liu , Y Wang , J Sohn , M McDonald , B Eaton , T Liu , X Yang , J Zhou , Emory University, Atlanta, GA |
| MO-J430-CAMPUS-F2-5 | Intelligent Synthetic CT Generation Based On CBCT Images Via Unsupervised Deep Learning L Chen*, X Liang , C Shen , S Jiang , J Wang , UT Southwestern Medical Center, Dallas, TX |
| PO-GePV-I-1 | A Comparison of Patient Setup Error On Different Matching Methods Used in X-Ray Volumetric Imaging During Head and Neck VMAT Delivery P Mohandass1,2*, D Khanna2 ,B Nishaanth1,T Thiyagaraj1,C Saravanan1, Narendra Bhalla1, Abhishek Puri1, (1) Fortis Hospital, Mohali, ,(2) Department of Physics, School of Science, Arts, Medica and Management, Karunya Institute of Technology and Science, Coimbatore, TN |
| PO-GePV-I-9 | Unsupervised Classification Routine to Correlate Nonlinearly Related Multiple Images: An Example for CT/CBCT Lung Images Normalization A Chu1*, J Kim2 , Z Xu3 , S Ryu4 , W Liu5 , W Tome6 , (1)(2)(3)(4) Stony Brook University, Stony Brook, NY, (5) Yale Univ. School of Medicine, New Haven, CT, (6) Montefiore Medical Center, Bronx, NY |
| PO-GePV-M-12 | 4D IMRT QA: Optimum Ways to Setup Motion Phantom M Zhang1*, Y Song1 , L Voros1 , X Tang2 , (1) Memorial Sloan Kettering Cancer Center, Bergen, NJ, (2) Memorial Sloan Kettering Cancer Center, West Harrison, NY |
| PO-GePV-P-85 | Comparison of Manual Vs. Semi-Automatic CBCT Image Analysis L Claps*, P Alaei , University of Minnesota, Minneapolis, MN |
| PO-GePV-T-58 | Evaluation of the Clinical Impact of the Difference Between Planned and Delivered Dose in Prostate Cancer Radiotherapy Based On Daily IGRT and Patient-Reported Outcome Scores J Hammers1*, D Lindsay2 , X Tan3 , J Dooley4 , S Stathakis5 , N Papanikolaou6 , L Marks7 , A Wang8 , R Chen9 , S Das10 , P Mavroidis11 , (1) ,Chapel Hill, NC, (2) UNC at Chapel Hill, Chapel Hill, NC, (3) UNC at Chapel Hill, Chapel Hill, NC, (4) Univ North Carolina, Chapel Hill, NC, (5) University Of Texas Health, San Antonio, TX, (6) University of Texas HSC SA, San Antonio, TX, (7) University of North Carolina, Chapel Hill, NC, (8) University of North Carolina at Chapel Hill, Chapel Hill, NC, (9) UNC Health Care, Chapel Hill, NC, (10) Univ North Carolina, Chapel Hill, NC, (11) Univ North Carolina, Chapel Hill, NC |
| PO-GePV-T-131 | A Data Driven Retrospective Analysis of Couch Tolerances On Patients Positioned Using the Elekta Hexapod R George*, N Kirby , D Saenz , University of Texas Health Science at San Antonio, San Antonio, TX |
| PO-GePV-T-294 | Dosimetric Impact of Alternative Image Guidance Protocols for Radiation Treatment Setup for Head and Neck Cancer Patients: Daily Cone-Beam Computed Tomography (CBCT) Versus Daily 2D KV Imaging S Lee*, B Zhang , G Lasio , H Xu , A Gopal , S Chen , B Yi , University of Maryland School of Medicine, Baltimore, MD |
| PO-GePV-T-295 | Verification of Setup Accuracy with 6 Degree of Freedom Couch and CBCT T Chen*, H Wang, L Hu, J Zhang, D Barbee, J Xue, NYU Langone Medical Center, New York, NY |
| PO-GePV-T-367 | Stereotactic Cone-Beam CT Guided Radiosurgery of Trigeminal Neuralgia B Ziemer , Y Natsuaki , A Perez-Andujar , O Morin , B Weethee , L Ma*, UCSF School of Medicine, San Francisco, CA 94143 |
| PO-GePV-T-369 | Performance of the CBCT-Based Patient Positioning System On the Gamma Knife Icon Andy Y. Xu1*, Yi-Fang Wang1 , Tony J. Wang1 , Simon K. Cheng1 , Olga Dona1 , Michael B. Sisti2 , Cheng-Shie Wuu1 , (1) Department of Radiation Oncology, Columbia University Medical Center, New York, NY, (2) Department of Neurosurgery, Columbia University Medical Center, New York, NY |
| SU-E-304-1 | Adaptive Dual Cardiac- and Respiratory-Gated Thoracic Imaging On a Linear Accelerator T Reynolds*, C Shieh , P Keall , R O'Brien, ACRF Image X Institute, University of Sydney, NSW, Australia |
| SU-E-304-2 | Dual Energy CBCT Technique to Produce Virtual Monoenergetic and RED Images Using the On-Board Imager of a Linear Accelerator F Cassetta1*, A Wang2 , R Patel1 , M Haytmyradov1 , J Roeske1 , (1) Loyola University Chicago, Maywood,IL,(2) Stanford University, Stanford, CA |
| SU-E-304-3 | Quantitative Dual-Energy Cone-Beam CT with a Prototype Dual-Layer Flat Panel Detector A Wang1*, L Shi1 , N Bennett1 , E Shapiro2 , A Shiroma2 , J Zhang3 , R Colbeth2 , J Star-Lack2 , M Lu3 , (1) Stanford University, Stanford, CA, (2) Varex Imaging, San Jose, CA, (3) Varex Imaging, Santa Clara, CA |
| SU-E-304-4 | Improving Scan Time and Reducing Patient Imaging Dose Using Respiratory Motion Guided 4DCBCT P Lim*, C Shieh, F Masri, P Keall, R O'Brien, ACRF Image X Institute, University of Sydney Central Clinical School, Sydney, NSW, Australia |
| SU-E-304-5 | Method and Test Tool for Measurement of 3D MTF Characteristics in Cone-Beam CT P Wu1*, J Boone2 , J Siewerdsen1 , (1) Johns Hopkins Univ, Baltimore, MD, (2) UC Davis Medical Center, Sacramento, CA |
| SU-E-304-6 | Technical Assessment of Dose and 3D Imaging Performance for a New Mobile Isocentric C-Arm for Intraoperative Cone-Beam CT N Sheth1*, T De Silva1 , A Uneri1 , M Ketcha1 , R Han1 , R Vijayan1 , G Kleinszig2 , S Vogt2 , J Siewerdsen1 , (1) Johns Hopkins University, Baltimore, MD, (2) Siemens Healthineers, Erlangen, Germany |
| SU-E-304-7 | The Corgi: A Multi-Purpose Modular Phantom for Dose and Image Quality Assessment in Cone-Beam CT A Uneri1*, A Hernandez2 , G Burkett2 , J Boone2 , J Siewerdsen1 , (1) Johns Hopkins University, Baltimore, MD, (2) University of California-Davis, Sacramento, CA |
| SU-F-221AB-1 | A Patient-Independent CT Intensity Correction Method Using Generative Adversarial Networks (GAN) for Single X-Ray Based Tumor Localization R Wei1*, F Zhou1 , B Liu1 , X Bai1 ,Q Wu2 , (1) Image Processing Center, Beihang University, Beijing, ,(2) Duke University Medical Center, Durham, NC |
| SU-F-221AB-3 | Evaluation of Average Image From During-Treatment 4DCBCT for Lung SBRT Treatment J Liang1*, D Lack2, J Wloch1, D Yan1 , (1) William Beaumont Hospital, Royal Oak, MI, (2) William Beaumont Hospital, Troy, MI |
| SU-F-225BCD-5 | Tumor Phase Recognition by Local Principal Component with Multivariate Singular Spectrum Analysis From Cone-Beam Tomography Projections and External Surrogates P Tsai*, B Lu , G Yan , C Liu , University of Florida, Gainesville, FL |
| SU-F-304-1 | Fast 4D CBCT Scans: Combining Respiratory Guided Imaging and Advanced Reconstruction Algorithms to Reduce Imaging Time and Dose O Dillon*, R O'Brien , C Shieh , P Keall , University of Sydney, Sydney, NSW |
| SU-F-304-2 | Deformation Vector Field Estimation Using Convolutional Neural Network for Motion-Compensated 4D-CBCT Reconstruction X Huang*, L Chen , J Wang , UT Southwestern Medical Center, Dallas, TX |
| SU-F-304-4 | General Simultaneous Motion Estimation and Image Reconstruction (G-SMEIR) for CBCT S Zhou1*, Y Chi1 , J Wang2 , M Jin1 , (1) University of Texas at Arlington, Arlington, TX, (2) UT Southwestern Medical Center, Dallas, TX |
| SU-F-304-6 | Known-Component Metal Artifact Reduction (KC-MAR) for Intraoperative Cone-Beam CT in Spine Surgery: A Clinical Pilot Study X Zhang1*, A Uneri1 , S Doerr1 , J Stayman1 , C Zygourakis2 , S Lo2 , N Theodore2 , J Siewerdsen1 , (1) Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, (2) Department of Neurosurgery, Johns Hopkins Medicine, Baltimore, MD |
| SU-F-SAN2-1 | CBCT Image Quality Augmentation Using Deep Learning Models: A Comparison Study Y Zhao1*, Z Jiang2 , X Teng1 , L Ren2 , (1) Duke Kunshan University, Kunshan,(2) Duke Univeristy, Durham, NC |
| 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-I300-GePD-F6-1 | Auto Segmentation of Male Pelvis On CBCT Using 3D U-Net R L.J. Qiu1*, T Ma1 , K Stephans1 , C Shah1 , A Godley2 , P Xia1 , (1) Cleveland Clinic, Cleveland, OH, (2) Miami Cancer Institute, Miami, FL |
| SU-I300-GePD-F9-1 | A Dosimetric Evaluation of Daily CBCT Imaging for Prostate Radiotherapy A Gopal*, B Zhang , S Lee , G Lasio , S Chen , B Yi , Univ. of Maryland School Of Medicine, Baltimore, MD |
| SU-I300-GePD-F9-2 | Characterization of Underexposure in CBCT Projections Toward Patient Specific Acquisition Protocol Guidelines B Preusser*, E Pearson , H Al-Hallaq , The University of Chicago, Chicago, IL |
| SU-I300-GePD-F9-6 | Optimal CBCT Parameters for SRS Image Guidance E Sudentas*, N Kalach , Mount Sinai West, New York, NY |
| SU-I330-GePD-F5-4 | Validation of Simulated Target Motion Spatial Accuracy of Elekta Symmetry Versus 4D CT C Baley*, S Stathakis , P Myers , N Kirby , K Rasmussen , N Papanikolaou , D Saenz , University of Texas HSC SA, San Antonio, TX |
| SU-I330-GePD-F5-5 | Benchmarking of 4DCBCT Based Dose Calculation Against Measurements in a Lung Phantom M Dumas*, S Rusu , I Chetty , N Wen , Henry Ford Health System, Detroit, MI |
| SU-I330-GePD-F5-6 | Clinical Implementation of Four-Dimension Cone-Beam Computed Tomography (4D-CBCT) for Gated Treatment F Mostafaei*, Y Lee , Y Kim , Department of Radiation Oncology, University of Arizona, Tucson, AZ |
| SU-I330-GePD-F9-1 | A Fast, Accurate Simulation Strategy for MV-CBCT Image Generation M Shi1,2*, M Myronakis2 , M Jacobson2 , M Lehmann3 , P Huber3 , R Fueglistaller3 , P Baturin4 , D Morf3 , D Ferguson2 , T Harris2 , I Valencia Lozano2 , C Williams2 , Y Hu2 , A Wang4 , R Berbeco2 , (1) University of Massachusetts Lowell, Lowell, MA, (2) Brigham and Women's Hospital, Dana-Farber Cancer Institute, and Harvard Medical School, Boston, MA, (3) Varian Medical Systems, Baden-Dattwil, Switzerland, (4) Varian Medical Systems, Palo Alto, CA |
| SU-I330-GePD-F9-2 | An Analysis of the Commercially Available CBCT Based On Iterative Reconstruction Algorithm for IGRT S Kang1,3*, J Chung1 , S Lee2 , S Kang3 , T Suh3 , J Kim1 , (1) Seoul National University Bundang Hospital, Seongnam Si, Korea, (2) Konyang University of Korea, Daejeon, Korea,(3) The Catholic University of Korea, College of Medicine, Seoul, Korea |
| SU-I330-GePD-F9-3 | CT Based Simulation Framework for Motion Artifact and Ground Truth Generation of Cone-Beam CT P Paysan1*, P Munro1, S Scheib1, (1) Varian Medical Systems Imaging Laboratory, Daettwil AG |
| SU-I330-GePD-F9-5 | Monte Carlo X-Ray Tube Simulation for CBCT: Primary Source Phase Space Compression G Bootsma1*, H Nordstrom2 , M Eriksson2 , D Jaffray1 , (1) University Health Network, Toronto, ON, Canada (2) Elekta Instruments AB, Stockholm, Sweden |
| SU-I330-GePD-F9-6 | Pseudo-CBCT Image Prediction of Head and Neck Cancer Patient Using Principal Component Vector Fields of Early Treatment Fractions M Nakano1*, T Imae2 , T Nakamoto2 , A Haga3 , K Nawa2 , Y Nomura2 , R Chhatkuli4 , K Demachi5 , W Takahashi2 , K Yamamoto6 , K Nakagawa2 , M Hashimoto7 , Y Yoshioka1 , M Oguchi1 , (1) Cancer Institute Hospital of JFCR, Tokyo, Japan, (2) Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan, (3) University of Tokushima, Tokushima, Japan, (4) National Institute of Radiological Sciences, Chiba, Japan,(5) Faculty of Engineering, The University of Tokyo, Tokyo, Japan, (6) Department of Radiology, Teikyo University Hospital, Tokyo, Japan, (7) Faculty of Allied Health Sciences, Kitasato University, Sagamihara, Japan |
| SU-I400-GePD-F6-3 | Evaluating the Need for CBCT Image Guidance for Brain SRS with ExacTrac R Martin*, T Briere , E Han , MD Anderson Cancer Ctr., Houston, TX |
| SU-I400-GePD-F6-6 | Multi-Institution Analysis of Cone-Beam CT Image Quality Performance N Becker1*, A McNiven1 , L Buckley2 , P Rapley3 , E Sabondjian4 , D Jaffray1 , D Letourneau1 , (1) The Princess Margaret Cancer Centre - University Health Network, Toronto, ON, (2) The Ottawa Hospital Regional Cancer Centre, Ottawa, ON, (3) Thunder Bay Regional Health Sciences Centre, Thunder Bay, ON, (4) Mississauga Halton/Central West Regional Cancer Program - Trillium Health Partners, Mississauga, ON |
| SU-I430-GePD-F5-3 | Intrafraction Imaging of the CBCT Simultaneous to VMAT Delivery Provides Patient-Tumor Positioning Verification and Potential for Optimizing Off-Line Adaptive Treatment Planning D Campos1*, A Hernandez2 , D Hernandez3 , S Benedict4 , (1) University of California - Davis, Sacramento, CA, (2) University of California-Davis, Sacramento, CA, (3) Univ of California, Davis, Sacramento, CA, (4) UC Davis Cancer Center, Sacramento, CA |
| SU-I430-GePD-F5-6 | Tumor Tracking and Motion Modeling in SBRT of Abdominal Tumors with Implanted Fiducials Using Pre-Treatment CBCT Projections and Template Matching and Sequential Stereo Triangulation O Oderinde1*, H Mostafavi2 , D Simpson1 , J Murphy1 , L Cervino1 , (1) University of California San Diego, San Diego, CA, (2) ,Palo Alto, CA, |
| SU-I430-GePD-F6-2 | Machine Learning Based Region of Interest Optimization Framework for Optical Surface Monitoring System: A Feasibility Study T Chen*, D Barbee , P Cohen , K Du , New York University, New York, NY |
| SU-K-221AB-3 | Patch-Based Local Intensity Correction for CT/CBCT Deformable Registration S Proell1, K Fritscher1, G Sharp2*, (1) UMIT, Hall In Tirol, Austria, (2) Massachusetts General Hospital, Boston, MA |
| SU-K-225BCD-6 | Improving CBCT Quality to CT Level Using Deep-Learning Method for Adaptive Radiation Therapy Y Zhang1,2*, N Yue1 , M Su2 , Y Ding3 , B Liu1 , Y Zhang1 , Y Zhou4 , K Nie1 , (1) Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, (2) Department of Radiological Science, University of California Irvine, Irvine, CA, (3) Hubei Cancer Hospital, Wuhan,(4) Fudan University Zhongshan Hospital, Shanghai |
| SU-L-302-2 | A New Design for Rapid Acquisition of Cone Beam CT Images On C-Arm Style Medical Linear Accelerators E Parsai*, E Salari , N Sperling , University of Toledo Medical Center, Toledo, OH |
| SU-L-SAN1-5 | End-To-End Test of the Gamma Knife Icon Plan Adaptation and High Definition Motion Management System Using a Motorized Anthropomorphic Head Phantom E Han1 , D Luo1 , J Kim2 , K Tharp1 , Z Wen1*, T Briere1 , (1) The University of Texas MD Anderson Cancer Center, Houston, TX, (2) University of Pittsburgh Medical Center, Gibsonia, PA, |
| TU-AB-221AB-6 | Fluorescence Molecular Tomography/X-Ray Computed Tomography Dual-Modality Tumor Detection Using Active Targeting Nanoparticles and Effective Background Subtraction J Shi*, T Udayakumar , N Dogan , A Pollack , Y Yang , University of Miami Miller School of Medicine, Miami, FL |
| TU-C-PinS-5 | Evaluation of the Rotational Alignment Accuracy and Error Using 3D/3D, 2D/3D and 3D Surface Registration H Kuo*, A Ballangrud , G Li , D Lovelock , B Wolthuis , C Della-Biancia , S Berry , M Hunt , Memorial Sloan Kettering Cancer Center, New York, NY |
| TU-C1000-GePD-F5-6 | Uncertainties of Bladder Cancer Radiation Treatment with CT-On-Rails Localization T Lin*, C Ma , Fox Chase Cancer Center, Philadelphia, PA |
| TU-C1030-GePD-F7-2 | Assessment of Positional Reproducibility of Two Types of Commercially Available Endorectal Balloons From RadiaDyne Used Clinically for the Treatment of Prostate Cancer Patients J George*, J Bennouna , S George , U Ramos , A Gutierrez , Miami Cancer Institute, Miami, FL |
| TU-C1030-GePD-F9-3 | Convolutional Network Based Motion Artifact Reduction in Cone-Beam CT P Paysan1*, A Strzelecki1, F Arrate2, P Munro1, S Scheib1, (1) Varian Medical Systems Imaging Laboratory, Daettwil AG,(2) Varian Medical Systems, Palo Alto, CA |
| TU-C1030-GePD-F9-5 | Intrinsic Measurement of Cardiorespiratory Signals of Centrally-Located Tumour Motion From Thoracic Cone-Beam CT S J Blake*, N Hindley, C-C Shieh, P Keall, R O'Brien, ACRF Image-X Institute, University of Sydney, Sydney, NSW, Australia |
| TU-C1030-GePD-F9-6 | What Image Features Are Good for Correlation-Based Tracking Algorithms Used for Soft Tissue Monitoring in X-Ray Imaging A Jeung*, L Zhu , H Mostafavi , J van Heteren , Varian Medical Systems, Palo Alto, CA |
| TU-C930-GePD-F9-1 | Automatic Segmentation On CBCT Images Using a Combination of CBCT Enhancement and Deep Learning CT Segmentation S Andersson*, R Nilsson, RaySearch Laboratories AB, Stockholm |
| TU-C930-GePD-F9-4 | Hounsfield Unit Correction of Prostate CBCT Using Cycle-Consistent Generative Adversarial Networks (CycleGAN) O Dona*, Y Wang , A Xu , C Wuu , Columbia Univ, New York, NY |
| TU-C930-GePD-F9-5 | Transfer Learning of a Convolutional Neural Network for CBCT Projection-Domain Scatter Correction with Different Scan Conditions Y Nomura1*, Q Xu2,3 , H Shirato2,4 , S Shimizu2,5 , L Xing2,6 , (1) Department of Radiation Oncology, Graduate School of Medicine, Hokkaido University, Sapporo, Japan, (2) Global Station for Quantum Medical Science and Engineering, Global Institution for Collaborative Research and Education (GI-CoRE), Hokkaido University, Sapporo, Japan, (3) Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China, (4) Department of Radiation Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan, (5) Department of Radiation Medical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo, Japan, (6) Department of Radiation Oncology, Stanford University, Stanford, CA |
| TU-F115-GePD-F5-4 | Cone-Beam CT Simulation for Same-Day VMAT Treatment of Bony Metastases R Zakariaee1,2*, D Comsa2 , D Moseley1,2,3 , (1) Department of Radiation Oncology, University of Toronto, Toronto, ON, (2) Radiation Medicine Program, Stronach Regional Cancer Centre, Newmarket, ON, (3) Radiation Medicine Program, Princess Margaret Hospital, Toronto, ON |
| TU-F115-GePD-F6-1 | Clinical Evaluation and Implementation of a Commercial Iterative CBCT Algorithm Y Zheng*, J Wong , Atlantic Health System, Morristown, NJ |
| TU-F115-GePD-F6-2 | Imaging Quality of Intrafraction 4D CBCT for Lung SBRT Using Flattening Filter-Free Beams: A Phantom Study J Kim*, J Kim , K Keum , H Lee , |
| TU-J345-GePD-F1-4 | Investigation On Imaging Dose to Spinal Cord in Spine SBRT Treatment Y Xu1,2*, M Khosravi2 , Y Lyatskaya2 , P Zygmanski2 , F Hacker2 , J Bredfeldt2 , Y Hu2 , (1) Harvard Medical School (2) Brigham & Women's Hospital, Boston, MA |
| TU-J345-GePD-F6-4 | New Approach for Automatic and Patient-Specific Evaluation of Multi-Modality Deformable Image Registration Accuracy as Tested On Halcyon's Megavoltage Cone Beam CT System Y Huang*, Y Zhang** , Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142 **Corresponding Author:Y Zhang email:zhangyibao@pku.edu.cn |
| TU-J345-GePD-F9-6 | Virtual Monochromatic Analysis in Spectral CT for Differentiation of Soft Tissues: Potentials and Challenges X Tang1*, W Long1 , H Xie1 , Y Ren2 , (1) Emory University School of Medicine, Atlanta, GA, (2) Sinovision Technologies, Beijing, |
| TU-L-225BCD-2 | A Dual-Reconstruction Method to Generate Motion Artifact-Free CBCT Images H Zhong*, X Li , Medical College of Wisconsin, Milwaukee, WI |
| TU-L-304-2 | Cone-Beam CT of Load-Bearing Surgical Hardware Using a Mechanical Model of Implant Deformation Q Cao*, S Liu , G Osgood , S Demehri , J Siewerdsen , J Stayman , W Zbijewski , Johns Hopkins University, Baltimore, MD |
| WE-C1000-GePD-F5-1 | A Feasibility Study of Adaptive Radiotherapy Based On Varian Halcyon and Velocity Systems: Patient-Specific Dosimetric Indicators of Optimal Replanning Frequency and Timing Y Huang , Y Zhang*, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142 *Corresponding Author: Y Zhang email: zhangyibao@pku.edu.cn |
| WE-C1000-GePD-F5-2 | Comparison of Two CBCT Correction Methods for Daily Adaptive Therapy Dose Tracking D Pittock1*, N Lamba1 , S Ginsburg1 , I Dragojevic2 , A Kruzer1 , A Nelson1 , (1) MIM Software Inc., Cleveland, OH, (2) UC San Diego, Chula Vista, CA |
| WE-C1000-GePD-F5-3 | Increase of Adaptive Re-Planning Frequency with Using Automated Daily Dose Tracking K Kainz*, S Lim , G Chen , X Li , Medical College of Wisconsin, Milwaukee, WI |
| WE-C1000-GePD-F5-5 | Towards Efficient Adaptive-Radio-Therapy in Prostate and Head & Neck Cancer Utilizing Iterative-CBCT and Automated Software K Padgett*, R Delgadillo , M Studenski , M Abramowitz , M Samuels , N Dogan , Univ Miami, Miami, FL |
| WE-C1030-GePD-F2-2 | Automated Anatomic Classification of CBCT Data From Single Projection Images Using Machine Learning B Preusser*, E Pearson , H Al-Hallaq , The University of Chicago, Chicago, IL |
| WE-C1030-GePD-F6-4 | GPU-Based Acceleration of FastEPID Image Simulation M Shi1,2*, M Myronakis2 , M Jacobson2 , D Ferguson2 , C Williams2 , I Valencia Lozano2 , T Harris2 , M Lehmann3 , P Huber3 , R Fueglistaller3 , P Baturin4 , D Morf3 , R Berbeco2 , (1) University of Massachusetts Lowell, Lowell, MA, (2) Brigham and Women's Hospital, Dana-Farber Cancer Institute, and Harvard Medical School, Boston, MA, (3) Varian Medical Systems, Baden-Dattwil, Switzerland, (4) Varian Medical Systems, Palo Alto, CA |
| WE-C930-GePD-F6-3 | Automated CBCT Image Quality Assurance for Gamma Knife Icon System F.Q. Guo1, 2*, (1) Yale School of Medicine, New Haven, CT, (2) Yale New Haven Hospital, New Haven, CT |
| WE-C930-GePD-F8-5 | Quantitative Analysis of Bony Anatomy Vs Soft Tissue Matching Using CBCT in Treatment of Pancreatic Cancer S Balyimez*, C Chen , E Parsai , University of Toledo Medical Center, Toledo, OH |
| WE-C930-GePD-F9-6 | Spectral Modulator With Flying Focal Spot: A New Concept of Full-Scale Multi-Energy Cone-Beam CT and Simultaneous Scatter Correction Hewei Gao*, Chengpeng Wu and Sen Wang, Tsinghua University, Beijing 100084, China |
| WE-J-221AB-0 | Innovations in X-Ray Detectors W Zhao1*, L Antonuk2*, C Ullberg3*, (1) SUNY Stony Brook, Stony Brook, NY, (2) University of Michigan, Ann Arbor, MI, (3) XCounter AB, Danderyd, |
