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| MO-K-DBRB-2 | Improved PET Quantification by Adaptive Denoising and Regularized Image Reconstruction: A Feasibility Study M Namias1*, R Jeraj2 , (1) Fundacion Centro Diagnostico Nuclear, Buenos Aires, Argentina, (2) University of Wisconsin, Madison, WI |
| SU-E-205-2 | Defining CT Noise and Dose Reference Levels From Clinical Patient Populations F Ria*, J Solomon , J Wilson , Y Zhang , T Smith , E Samei , Duke University Health System, Durham, NC |
| SU-E-205-3 | Evaluation of Size-Specific Noise Index On Revolution CT: A Phantom Study F Rupcich1*, H Litt2 , D Crotty1 , (1) GE Healthcare, Waukesha, WI, (2) Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA |
| SU-E-205-4 | Impact of Noise On CT Readers B Whiting1*, S Don2 , D Politte3 , A Mitra4 , C Abbey5 , (1) University of Pittsburgh, Pittsburgh, PA, (2) Washington University School of Medicine, St. Louis, Missouri, (3) Washington University School of Medicine, Saint Louis, MO, (4) Washington University, Saint Louis, MO, (5) UC Santa Barbara, Santa Barbara, CA |
| SU-E-205-7 | Use of Mercury Phantom to Predict CT Image Noise and Inform Protocol Design F Ria*, J B Solomon , Y Zhang , J M Wilson , E Samei , Duke University Health System, Durham (NC) |
| SU-I-GPD-T-158 | A Correction of the Gamma Test for Monte Carlo Dose Distributions Comparison M Cohilis*, E Sterpin , J Lee , K Souris , Universite Catholique de Louvain, Woluwe, Brussels |
| TH-AB-KDBRB1-4 | Deep Learning Based PET Image Noise Reduction Using Both PET and CT Information X Jin1*, J Fan1 , X Rui2 , (1) GE Healthcare, Waukesha, Wisconsin, (2) GE Global Research Center, Niskayuna, New York |
| TU-C1030-GePD-F8-5 | Relation Between Deviation Index and Contrast to Noise Ratio in Portable Digital Chest Radiography J Dave*, E Gingold , B Sundaram , Thomas Jefferson University, Philadelphia, PA |
| TU-C930-GePD-F1-4 | Low Dose CT Strategies: In Which Domain Should I Denoise My Data? J Hayes , D Gomez-Cardona , J Cruz-Bastida , R Zhang*, K Li , G Chen , University of Wisconsin Madison, Madison, WI |
| TU-C930-GePD-F6-1 | A Robust Tracking Algorithm for Implanted Marker of Fluoroscopic Images in a Real-Time Tumor-Tracking System K Miyazaki1*, Y Fujii1 , T Umekawa1 , T Yamada1 , T FUJII2 , N Miyamoto2 , (1) Hitachi, Ltd., Hitachi-shi, Ibaraki,(2) Hokkaido University, Sapporo, Hokkaido |
| TU-C930-GePD-F9-1 | A Monte Carlo Study of the Impact of Electronic Noise On Low-Dose EPID Image Simulation M Shi1 2*, M Myronakis2, Y Hu2, J Rottmann2, R Berbeco2, (1) University of Massachusetts Lowell, Lowell, MA, (2) Department of Radiation Oncology, Brigham and Women's Hospital, Dana Farber Cancer Institute, Harvard Medical School, Boston, MA |
| WE-C1030-GePD-F8-3 | Content-Oriented Sparse Representation (COSR) Denoising in Perfusion CT for Dose Reduction Huiqiao Xie, Xiangyang Tang*, Emory University School of Medicine, Atlanta, GA |