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Keywords: reconstruction
MO-C930-IePD-F6-1Demonstration of a Novel Metal Artifact Reduction Technique with KV-MV CBCT
M Jacobson1*, T Harris1, M Lehmann2, P Huber2, M Myronakis1, I Ozoemelam1, R Fueglistaller2, 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
MO-E115-IePD-F5-5Evaluating the Accuracy of a Practical and Quantitative Imaging and Dosimetry Protocol for Post-Treatment Yttrium-90 SPECT/CT
S. Peter Kim1,3*, L Rodriguez1, G Herrera2, S Abbasinejad Enger3, D Alvarez1, (1) Miami Cancer Institute, Miami, Florida, , (2) Baptist Hosptial,(3) Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, CA,
MO-E115-IePD-F6-5Real Time Volumetric MRI From Ultra-Sparse Samples Via Implicit Neural Representation Learning
R Yesiloglu1*, L Shen2, A Johansson3, Y Cao4, J Balter5, L Xing6, L Liu7, (1) Stanford University, Stanford, CA, (2)Stanford University,Palo Alto, CA, (3) Uppsala University, Sweden, (4) University of Michigan, Ann Arbor, MI, (5) University of Michigan, Ann Arbor, MI, (6) Stanford University School of Medicine, Stanford, CA, (7) Stanford University, Palo Alto, CA
MO-E115-IePD-F9-4A Novel Ultrasound Beamformer with the Align-Peak-Response for Flexible Array Transducers
Z Feng*1,2,3, E Sun1,2, D China1,2, X Huang1,2, H Hooshangnejad1,2,3, E Gonzalez3, M Lediju Bell3,4,5, K Ding1,2 1. Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21287, USA. 2. Carnegie Center for Surgical Innovation, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21287, USA. 3. Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland, 21218, USA. 4. Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Maryland, 21287, USA. 5. Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, 21218, USA.
MO-E115-IePD-F9-5Looking Through the Noise: Freehand Tomographic Reconstruction Using Noise Decorrelation and Acoustic Waveform Properties of 2D Images
O Ivashchenko1, 2*, T Natali2, T Ruers2, (1) Leiden University Medical Center, Leiden, The Netherlands, (2) The Netherlands Cancer Institute, Amsterdam, The Netherlands
MO-FG-BRB-7Pair Production Tomography Imaging
Q Lyu*, R Neph, K Sheng, UCLA School of Medicine, Los Angeles, CA
MO-I430-BReP-F1-3CT Dose Index Determination in Dose Modulation Prospectively Involving the Third-Generation Iterative Reconstruction and Noise Index
A Scott*, Y Zhou, C Lee, E Eastman, Cedars-Sinai Medical Center, Los Angeles, CA
PO-GePV-I-20Real-Time 3D CT Reconstruction and Tumor Segmentation Based On Single X-Ray Image at Any Gantry Angle
M Zhang1, B Liu1,2*, R Wei3, F Zhou1,2, (1) Image Processing Center, Beihang University, Beijing,100191,CN, (2) Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing,100083,CN(3) National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing,100021,CN
PO-GePV-I-31Quantifying the Influence of a Vendor DL Reconstruction Algorithm On MR Image Quality
J Sanders, RJ Stafford*, C Walker, UT MD Anderson Cancer Center, Houston, TX
PO-GePV-I-413D Super-Resolution Reconstruction for Hippocampus Sparing in Brain Radiotherapy (in Silico Study)
Juyoung Lee1,2*, Jaehee Chun2,3, Jin Sung Kim2,3, Taeho Kim1, (1) Washington University School of Medicine in St. Louis, St. Louis, MO, (2) Yonsei University College of Medicine, Seoul, KR, (3) Oncosoft Inc., Seoul, KR
PO-GePV-I-59Variability of Radiomics Features with O-MAR Iterative Reconstruction
J Foy*, Northwestern University, Chicago, IL
SU-F-201-7Discriminability of Non-Gaussian Noise Properties in CT and the Limitation of the Noise Power Spectrum to Describe Noise Texture
K Boedeker1*, D Shin2, L Oostveen3, I Sechopoulos4, C Abbey5, (1) Canon Medical Systems Corporation, Otawara, Japan (2) (1) Canon Medical Systems Corporation, Otawara, Japan (3) Radboud University Nijmegen Medical Centre, Nijmegen, ,NL, (4) Radboud University Medical Centre, Nijmegen, ,(5) University of California - Santa Barbara, Santa Barbara, CA
SU-F-201-8Quantitative Dual-Energy CT with Limited-Angular-Range Data for Pulmonary Scans
B Chen, Z Zhang, D Xia, E Sidky, X Pan*, University of Chicago, Chicago, IL
SU-F-207-4Accelerated MRI Reconstruction Using Variational Feedback U-NET with Transfer Learning
Y Zhou1*, R Paul2, P Ding2, R Battle1, A Patel1, B Li2, (1) Mayo Clinic Arizona, Phoenix, AZ, (2) CIDAS, Arizona State University, Tempe, Az, United States
SU-H330-IePD-F8-1Generating a Phantom with a Motion Model Ground Truth
B Lau*, O Dillon, T Reynolds, R O'Brien, University of Sydney, Sydney, NSW, AU,
SU-I400-BReP-F2-3Patient-Specific Image Prior Assisted Fast MR Imaging for Online Adaptive Radiotherapy
Y Gao*, C Shen, Y Gonzalez, J Deng, X Jia, University of Texas Southwestern Medical Center, Dallas, TX
SU-K-207-6Image Registration of An EMT-Enabled Afterloader and CT Scan: A Phantom Study
I.N Gomez-Sarmiento1*, D Tho1, W de Jager3, D Laurendeau2, L Beaulieu1, (1) CHU de Quebec - Universite Laval, Quebec, QC, CA, (2) Electrical and Computer Engineering, Faculty of Science and Engineering, Universite Laval, Quebec, QC, CA, (3) Elekta Brachytherapy, Veenendaal, The Netherlands
SU-K-BRC-4Towards Online Intra-Fraction Treatment Adaptation: Real-Time Dose Estimation of MLC Tracked MR-Guided Radiotherapy
E Persson*, E Goodwin, B Eiben, A Wetscherek, S Nill, U Oelfke, Joint Department of Physics, The Royal Marsden Hospital and The Institute of Cancer Research, Sutton, UK
TH-C-201-2Catheter Tracking Using Gated Continuous-Sweep Limited Angle (CLA) Fluoroscopy
M Wagner*, S Periyasamy, P Laeseke, A Raval, M Speidel, University of Wisconsin - Madison, Madison, WI
TH-C-201-3Evaluating X-Ray Source Arrays for Tomography and Tomosynthesis in Lung Cancer Radiotherapy
O Dillon*, R O'Brien, University of Sydney, Sydney, NSW, AU,
TH-E-201-3BEST IN PHYSICS (IMAGING): Deep Learning-Based Motion Compensation for 4D-CBCT Reconstruction
Z Zhang1*, J Liu2, D Yang3, U Kamilov2, G Hugo1, (1) Washington University School of Medicine in St. Louis, St. Louis, MO, (2) Washington University in St. Louis, St. Louis, MO, (3) Duke University, Chapel Hill, NC
TH-E-201-6Sensitivity Analysis of Acquisition Precision in Fast Low-Dose 4DCBCT
B Lau1*, O Dillon2, S Vinod3, R O'Brien2, T Reynolds2, (1) University Of Sydney, Sydney, NSW, AU, (2) University Of New South Wales, Sydney, NSW, AU
TH-F-BRC-1A Geometry-Guided Multi-Beamlet Deep Learning Technique for CT Reconstruction
K Lu1*, L Ren2, F Yin1,3, (1) Duke University, Durham, NC, (2) University of Maryland, Baltimore, MD, (3) Duke University Medical Center, Durham, NC
WE-A-201-4Joint K-B Space Image Reconstruction and Data Fitting for Diffusion-Weighted Magnetic Resonance Imaging
J Deng*, X Jia, The University of Texas Southwestern Medical Ctr, Garland, TX