图像质量
质量(理念)
计算机断层摄影术
医学物理学
辐射剂量
度量(数据仓库)
医疗补助
断层摄影术
医学
质量保证
计算机科学
人工智能
计算机视觉
放射科
核医学
数据挖掘
图像(数学)
医疗保健
病理
哲学
经济增长
经济
外部质量评估
认识论
作者
Rebecca Smith‐Bindman,Yifei Wang,Carly Stewart,Jason Luong,Philip Chu,Marc D. Kohli,Antonio C. Westphalen,Eliot L. Siegel,Monika Ray,Timothy P. Szczykutowicz,Andrew B. Bindman,Patrick S. Romano
标识
DOI:10.1097/rli.0000000000001062
摘要
The Centers for Medicare and Medicaid Services funded the development of a computed tomography (CT) quality measure for use in pay-for-performance programs, which balances automated assessments of radiation dose with image quality to incentivize dose reduction without compromising the diagnostic utility of the tests. However, no existing quantitative method for assessing CT image quality has been validated against radiologists' image quality assessments on a large number of CT examinations. Thus to develop an automated measure of image quality, we tested the relationship between radiologists' subjective ratings of image quality with measurements of radiation dose and image noise.
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