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| MO-E115-GePD-F5-2 | Daily Edge Deformation Prediction Using Artificial Neural Network Regression for Prior Contour Based Total Variation Reconstruction (PCTV-ANN) for Low Dose CBCT Y Chen1*, K Lafata2 , F Yin3 , L Ren4 , (1) Duke University, Durham, NC, (2) Duke University, Durham, NC, (3) Duke University Medical Center, Durham, NC, (4) Duke University Medical Center, Durham, NC |
| SU-E-KDBRB1-3 | Comparison of the Localization Accuracy in Conventional and Ultra-Low Dose CT Fluoroscopy - A Simulation Study M Wagner*, F Lee , L Hinshaw , P Laeseke , T Szczykutowicz , M Speidel , C Mistretta , University of Wisconsin, Madison, WI |
| SU-F-202-4 | Motion Model Source Influence On Respiratory Motion Compensation Methods for 4D-CBCT Using Image Registration and Reconstruction MJ Riblett1*, E Weiss1 , GE Christensen2 , GD Hugo3 , (1) Virginia Commonwealth University, Richmond, VA, (2) University of Iowa, Iowa City, IA, (3) Washington University in St. Louis, St Louis, MO |
| SU-H300-GePD-F6-4 | Enhancing Accuracy of the Deformation-Driven CBCT Reconstruction by a Deep Learning-Based Projection Mapping Scheme Y Zhang*, L Chen , B Li , M Folkert , X Jia , X Gu , J Wang , UT Southwestern Medical Center, Dallas, TX |
| SU-H300-GePD-F9-4 | Iterative Katsevich Algorithm: A Novel Iterative Image Reconstruction Method for Helical CT Using Katsevich Exact Analytic Algorithm H Gao1*, R Liu2 , H Yu3 , Y Cui4 , Z Chang5 , F Yin6 , (1) Duke University Medical Center, Durham, NC, (2) The MathWorks, Inc, Natick, MA, (3) UMass Lowell, Lowell, MA, (4) Duke University Medical Center, Durham, NC, (5) Duke University Medical Center, Durham, NC, (6) Duke University Medical Center, Durham, NC |
| SU-H300-GePD-F9-6 | Reproducibility of CT Iterative Reconstruction Algorithms From Analytic Reconstitutions with Convolutional Neural Networks for Pediatric Brain Imaging R MacDougall*, Y Zhang , H Yu , UMass Lowell, Lowell, MA |
| SU-H330-GePD-F9-1 | A Population Based Statistical Model for Dose Distribution in Nasopharynx Cancer Gang Liu1,2,3 , Xuanfeng Ding2, Zhiyong Yang1, Zhiwen Liang1, Jing Yang1, Xin Nie1, Jun Han1, Hongyuan Liu1, Mi chen1,Ting Cao1, Xiaohui Zhu1, Hong Quan3, Qin Li1* 1. Cancer Center, Union Hospital, Huazhong University of Science and Technology, Tongji Medical College, Wuhan, 430023, China; 2. Beaumont Health System, Royal Oak, MI, 48304, USA. 3. School of Physics and Technology, Wuhan University, Hubei, Wuhan, 430072, China; |
| SU-I-GPD-I-9 | Influence of Metal Artifacts Reduction Algorithm (MAR) On CT Number (Hounsfield Unit) Accuracy R Holla1*, D Khanna2 , V Naik1 , B Pillai1 , (1)Amrita Institute of Medical Sciences,Amrita Vishwa Vidyapeetham, Kochi, Ernakulam, Kerala(2) Karunya University, Coimbatore, Tamilnadu |
| SU-I-GPD-J-3 | Quantitative Analysis of Prompt Gamma Ray Imaging During Proton Boron Fusion Therapy According to Boron Concentration H Shin, T Suh* , D Yoon , M Kim , S Kim , The Catholic University of Korea, Seoul, Seoul |
| SU-I-GPD-T-46 | Evaluation of the First Clinical System Fully Integrating EM Tracking Technology for Intra-Op US Guided Prostate HDR Procedure M Lavallee1*, L Beaulieu2 , (1) CHU de Quebec, Quebec, Quebec, (2) Centre Hospitalier university de Quebec, Quebec, QC |
| SU-I-GPD-T-85 | 4D Dose Reconstruction in Lung From Discontinuous Cyclotron Proton Beam Delivery V Ugarte*, I Yeo , A Ghebremedhin , B Patyal , Loma Linda university Medical Center, Loma Linda, CA |
| SU-KL-DBRB-3 | Investigation of CT Image Quality Achievable From An Experimental Dual Mode Benchtop X-Ray Fluorescence CT (XFCT) and Micro-CT System L Deng1,2*, S Yasar1 , M F Ahmed1 , Y Park1 , S Jayarathna1 , S H Cho1 , (1) The University of Texas MD Anderson Cancer Center, Houston, Texas, (2) Chongqing University, Chongqing, China |
| SU-KL-DBRB-10 | Comparison of Two Reconstruction Methods for Bound-Nanoparticle Detection Using Superparamagnetic Relaxometry S Thrower*, S Kandala , D Fuentes , K Mathieu , W Stefan , A Kulp , J Hazle , UT MD Anderson Cancer Center, Houston, TX |
| SU-L-207-3 | Comprehensive Evaluation of a Biomechanical Modeling-Guided CBCT Reconstruction Technique (Bio-Recon) for Liver Imaging Y Zhang*, T Chiu , B Li , M Folkert , X Huang , X Jia , J Wang , UT Southwestern Medical Center, Dallas, TX |
| SU-L-207-5 | Title: Interfraction Motion Modeling (IMM) Using Principal Component Analysis (PCA) for CBCT Image Estimation with Limited Projections Z Jiang*, Y Zhang , F Yin , L Ren , Duke University Medical Center, Durham, NC |
| TH-AB-202-8 | Multi-Energy CT Reconstruction with Sparse Segmental Scan N Luo*, A Zhong , B Li , J Ma , Y Xu , L Zhou , Southern Medical University, Guangzhou, Guangdong |
| TH-AB-202-11 | Spectral Prior Image Constrained Compressed Sensing Reconstruction for Photon-Counting Detector Based CT Using a Non-Local Means Filtered Prior (NLM-SPICCS) K Rajendran*, S Tao , W Zhou , S Leng , C McCollough , Mayo Clinic, Rochester, MN |
| TH-CD-202-5 | Effect of KVp, Reconstruction Kernel/filter, and Image Thickness On Water Equivalent Diameter K Little1*, X Jiang2 , X Yang3 , N Fitousi4 , D Hintenlang5 , (1) Ohio State Univ, Columbus, OH, (2) Ohio State University, Columbus, OH, (3) The Ohio State University, Columbus, OH, (4) Qaelum, Leuven, Belgium, (5) Ohio State Univ, Columbus, OH |
| TH-EF-202-7 | Low Dose CBCT Reconstruction Via Hybrid Prior Contour Based Total Variation Regularization (Hybrid-PCTV) Y Chen1*, F Yin2 , Y Zhang3 , L Ren4 , (1) Duke University, Durham, NC, (2) Duke University Medical Center, Durham, NC, (3) Duke University Medical Center, Durham, NC, (4) Duke University Medical Center, Durham, NC |
| TU-AB-202-4 | Back-Projection Filtration Image Reconstruction Approach for Reducing High-Density Object Artifacts in Digital Breast Tomosynthesis H Kim*, S Lim , Y Lim , S Cho , KAIST, Daejeon, Korea |
| TU-AB-202-9 | Reconstruction Algorithm Design for Mitigating the Orientation Dependent Conspicuity of Fiber-Like Signals in Digital Breast Tomosynthesis S Rose*, I Reiser , E Sidky , X Pan , University of Chicago, Chicago, IL |
| TU-AB-205-5 | Continuous Generation of Volumetric Patients Images During Radiotherapy Treatment Using Triggered KV Images and An External Surrogate M Lafreniere1*, N Mahadeo2 , J Rottmann3 , C Williams4 , (1) Harvard Medical School - DFCI, Cambridge, MA, (2) ,,,(3) Brigham and Woman's Hospital, Boston, MA, (4) Brigham and Women's Hospital, Boston, MA |
| TU-AB-205-12 | Field-Of-View Expansion of Megavoltage CT Based On Iterative Reconstruction Algorithm Using Information of Treatment Planning KV-CT Y Watanabe1*, T Magome1 , A Haga2 , K Nawa3 , M Nakano4 , Y Nomura3 , S Hanaoka3 , K Nakagawa3 , D Zuro5 , C Han5 , J Wong5 , S Hui5 , (1) Komazawa University, Setagaya-ku, Tokyo, (2) Tokushima University, Tokushima-shi, Tokushima, (3) The University of Tokyo Hospital, Bunkyo-ku, Tokyo, (4) Cancer Institute Hospital, Koto-ku, Tokyo, (5) City of Hope, Duarte, California |
| TU-C1000-GePD-F1-2 | Dedicated Breast CT: Impact of Short-Scan Source Trajectory and Sparse-View Acquisition On Image Quality H TSENG*, S Vedantham , A Karellas , University of Arizona, Tucson, AZ |
| TU-C1000-GePD-F8-5 | Super-Resolution for Positron Emission Tomography Images Using Deep Learning Z Iqbal*, D Nguyen , S Jiang , Medical Artificial Intelligence and Automation Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX |
| TU-GH-KDBRC-7 | Motion Compensated Dynamic MRI Reconstruction in Compressed Sensing Framework Using Local Affine Optical Flow Constraint N Zhao*, D O'Connor , D Ruan , K Sheng , UCLA School of Medicine, Los Angeles, CA |
| TU-I345-GePD-F6-4 | Feasibility Study of Four-Dimensional Digital Tomosynthesis Using GPU-Accelerated Compressed-Sensing (CS) Image Reconstruction for Faster Tumor Localization S Choi1*, S Hsieh2 , D Lee3 , S Choi4 , H Kim5 , (1) Yonsei University, Wonju, Gangwon, (2) UCLA, (3) Yonsei University, Wounju, Gangwon, (4) Yonsei University, Wonju, Gangwon, (5) Yonsei Univ, Wonju, |
| TU-J430-CAMPUS-F1-2 | Efficient Tomosynthesis Reconstruction Via Alternating Direction Method of Multipliers J huang1*, B Li1 , S Wu2 , H Qi2 , J Ma1 , Z Ding1 , G Qin3 , L Zhou1 , Y Xu1 , (1) Southern Medical University, Guangzhou, Guangdong,(2) Guangzhou Huaduan Technology Co. Ltd., Guangzhou, guangdong,(3) Southern Medical University, Guangzhou, Guangdong,Guangdong |
| TU-J430-CAMPUS-F1-3 | Impact of GPU-Accelerated Sparse-View Reconstruction for Radiation Dose Reduction in Dedicated Breast CT H TSENG*, S Vedantham , A Karellas , University of Arizona, Tucson, AZ |
| WE-AB-202-11 | T2-Weighted Spin-Echo Multislice MRI with Sub-Millimeter Through-Plane Resolution S Kargar1*, E Borisch1 , R Grimm1 , A Kawashima2 , S Riederer1 , (1) Mayo Clinic, Rochester, MN, (2) Mayo Clinic, Scottsdale, Arizona |
| WE-C1030-GePD-F8-2 | A Sandwich Architecture to Combine Model Based Image Reconstruction Method and Deep Learning Method for Low Dose CT Reconstruction C Zhang*, Y Li , J Hayes , G Chen , University of Wisconsin, Madison, WI |
| WE-C1030-GePD-F8-6 | Impact of CT Model-Based Iterative Reconstruction On Auto-Segmentation of Prostate Cancer Organs at Risk C Miller1,2*, D Mittelstaedt, N Black3, P Klahr3, S P. Nejad-Davarani1, H Schulz3, L Goshen3, E Morris1,2, C Glide-Hurst1,2 (1) Henry Ford Cancer Institute, Detroit, MI, (2) Wayne State University, Detroit, MI (3) Philips Healthcare, Cleveland, OH |
| WE-C930-GePD-F2-3 | The Use of DirectDensityTM and Dual-Energy CT in the Radiation Oncology Clinic G Nelson*, V Sarkar , F Su , V Pigrish , B Salter , University Utah, Salt Lake City, UT |
| WE-FG-207-4 | Automated-Adaptive Iterative Metal Artifact Reduction: Quantitative Evaluation of Streak Artifact Reduction When Reconstructing CT Images in Presence of Metal N Mistry1*, I Duba1 , A Halaweish1 , B Schmidt2 , C Hofmann2 , (1) Siemens Medical Solutions Inc. USA, Malvern, PENNSYLVANIA, (2) Siemens Healthcare GmbH, Erlangen |
| WE-FG-207-9 | Manufacturer-Neutral Simulation and Reconstruction of Low-Dose CT Patient Projection Data J Weaver*, L Yu , T Moen , S Tao , C McCollough , Mayo Clinic, Rochester, MN |