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Taxonomy: IM- CT: Quality Control and Image Quality Assessment

TU-IePD-TRACK 1-1Development of An Automated Analysis Software for Daily CT QA
A Hart1*, A Watkins2, M Bazalova-Carter1, C Uribe3,4, (1) University of Victoria, Victoria, BC, CA, (2) Simon Fraser University, Burnaby, BC, CA, (3) University of British Columbia, Vancouver, BC, CA, (4) BC Cancer, Vancouver, BC, CA
TU-IePD-TRACK 1-5Quantitative Evaluation of Noise Texture of Deep-Learning-Based CT Reconstruction with An Anthropomorphic Phantom
K Yang*, J Cao, N Pisuchpen, T Marschall, X Li, R Gupta, A Kambadakone, B Liu, Massachusetts General Hospital, Boston, MA
WE-D-TRACK 3-7Accurate and Efficient Measurement of Channelized Hotelling Observer-Based Low-Contrast Detectability On the ACR Accreditation Phantom
M Fan*, T Vrieze, T Thayib, C McCollough, L Yu, Mayo Clinic, Rochester, MN
WE-IePD-TRACK 2-1Evaluation of the Feasibility of Universal Daily CT QC Protocols and Limits Across Different Manufacturers and Models
T Lin*, K Hamacher, Columbia University Irving Medical Center, New York, NY
WE-IePD-TRACK 2-3Local Noise and Size of Region of Interest in CT Images
G Li1*, Y Liang2, (1) University of Maryland, Baltimore, Baltimore, MD, (2) ,