Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233

• DOI: 10.1002/mp.13763
• Publication Date: 2019-08-13T19:38:45Z
• Authors: Ehsan Samei; Donovan Bakalyar; Kirsten L. Boedeker; Samuel Brady; Jiahua Fan; Shuai Leng; Kyle J. Myers; Lucretiu M. Popescu; Juan Carlos Ramir...; Frank Ranallo; Justin Solomon; Jay Vaishnav; Jia Wang
• Keywords: Optical transfer function; Acceptance testing; Image-guided radiation therapy

The rapid development and complexity of new x-ray computed tomography (CT) technologies the need for evidence-based optimization image quality with respect to radiation contrast media dose call an updated approach towards CT performance evaluation.This report offers testing guidelines systems enhanced focus on operational including iterative reconstructions automatic exposure control (AEC) techniques.The was developed based a comprehensive review best methods practices in scientific literature. detailed include assessment 1) noise (magnitude, texture, nonuniformity, inhomogeneity), 2) resolution (task transfer function under varying conditions its scalar reflections), 3) task-based (detectability, estimability), 4) AEC (spatial, noise, mA concordance attenuation modulation). reconstruction tube current modulation conditions, standardized protocols, quantities metrology facilitate tracking, benchmarking, quantitative comparisons.The methods, implemented cited publications, are robust provide representative reflection system as used operationally clinical facility. recommendations phantoms phantom analysis.In line professional trajectory field toward quantitation engagement, stated offer that is more predictive than specification-based approaches. They can pave way not only terms acceptance (i.e., verifying device meets predefined specifications), but also commissioning determining how be most effectively practice).We set common procedures utilized optimal utilization imaging devices, benchmarking across times, basis develop future performance-based criteria imaging.