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Education | IM | IM/TH | Leadership | TH | show all

Taxonomy: IM- Cone Beam CT: Image Reconstruction

MO-AB-221AB-3Comparison of a Supervised and An Unsupervised CNN Learning Model for Edge Prediction in Prior Contour Based Total Variation (PCTV) CBCT Reconstruction
Y Chen1*, Z Jiang2 , F Yin3 , L Ren4 , (1) Duke University, Durham, NC, (2) Duke Univeristy, Durham, NC, (3) Duke University Medical Center, Durham, NC, (4) Duke University Medical Center, Cary, NC
MO-AB-221AB-6Multi-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-9Student 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-11Accelerated 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-F9-5Task-Based Evaluation of a Novel High-Matrix Size Reconstruction Employed to Best Utilize Spatial Resolution in State-Of-The-Art Computed Tomography
T Schuermann1*, J Solomon2 , E Samei3 , J Ramirez-Giraldo1 , (1) Siemens Healthineers, Durham, NC, (2) Duke University, Durham, NC, (3) Duke University Medical Center, Durham, NC, (1) Siemens Healthineers, Durham, North Carolina
MO-J430-CAMPUS-F1-4Learning-Based Low Dose CT Reconstruction in Radiation Therapy
T Wang , Y Lei , X Dong , Z Tian , Y Liu , X Jiang*, T Liu , W Curran , H Shu , X Yang , Emory Univ, Atlanta, GA
PO-GePV-I-20Deep Learning for High Spatial Resolution X-Ray Luminescence Computed Tomography
X Dai , K Cheng*, W Zhao , L Xing , Stanford University School of Medicine, Stanford, CA
PO-GePV-P-63Effect of CT Image Reconstruction Parameters On the Precision of Objective Volume
ZY Wang*, CT Wang , J Dong , BX Wen , The First Affiliated Hospital, The Sun Yat-sen UniversityGuangzhou
SU-F-221AB-7Reconstructing CT Images From Cone-Beam CT Projections Using Learned Primal Dual Reconstruction
X Liang*, Y Gonzalez, D Nguyen, Y Zhang, S Jiang, Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
SU-G300-SPS-F4-2Effects of Acoustic Heterogeneity in X-Ray-Induced Acoustic Computed Tomography
C Cochran1*, P Samant2 , L Xiang3 , (1) University of Oklahoma, Norman, OK, (2) University of Oklahoma, Norman, OK, (3) University of Oklahoma, Norman, OK
TH-A-221AB-2A Flexible Iterative Reconstruction Framework for Low Dose CT
Q Lyu*, D Ruan , J Hoffman , R Neph , M McNitt-Gray , K Sheng , UCLA School of Medicine, Los Angeles, CA
TH-A-221AB-3Quantitative Prior-Image-Based CT Reconstruction with Mismatched Prior
H Zhang1*, D Capaldi2 , D Zeng3 , J Ma4 , L Xing5 , (1) Stanford University, Stanford, CA, (2) Stanford University, Stanford, California, (3) Southern Medical University, Guangzhou, ,(4) Southern Medical University, Guangzhou, ,(5) Stanford University, Stanford, CA
TH-A-303-3Accelerating MR Image Acquisition with Sparse Sampling And Integration of Self-Attention Into a Deep Convolutional Neural Network
Y Wu1*, Y Ma2 , J Du2 , J Liu3, D Capaldi1 , L Xing1 , (1) Stanford Univ School of Medicine, Stanford, CA, (2) University of California San Diego, San Diego, CA, (3) University of California San Francisco, San Francisco, CA
TH-A-303-4Comparison Between Deep Learning and Total Generalized Variation Methods for Fast MRI
Z Jiang*, F Yin, Z Chang , Duke University Medical Center, Durham, NC
TU-F115-GePD-F6-1Clinical Evaluation and Implementation of a Commercial Iterative CBCT Algorithm
Y Zheng*, J Wong , Atlantic Health System, Morristown, NJ
TU-L-225BCD-1A Cascade Deep Network to Improve Parallel MRI Reconstruction
T Chao1*, T Lin2 , M Wu2 , (1) Department of Radiology, Mayo Clinic, Rochester, MN, U.S.A. (2) Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan
WE-C1000-GePD-F6-2Deep Learning-Based Tomographic Image Reconstruction with Ultra-Sparse Projection Views
L Shen1*, W Zhao2 , X Dai3 , L Xing4 , (1) Stanford University, Palo Alto, CA, (2) Stanford University, Palo Alto, CA, (3) Stanford University, Mountain View, CA, (4) Stanford University School of Medicine, Stanford, CA
WE-C1000-GePD-F8-5Parameter Characterization in a GRAPPA Reconstruction Algorithm for Spectroscopic Imaging
J Weygand*, M Ladd , P Bachert , A Korzowski , German Cancer Research Center, Heidelberg, Germany