Special Section on Pioneers in Medical Imaging: Honoring the Memory of Robert F. Wagner

Comparison of semiparametric receiver operating characteristic models on observer data

[+] Author Affiliations
Frank W. Samuelson

U.S. Food and Drug Administration, Center for Devices and Radiological Health, 10903 New Hampshire Avenue, Silver Spring, Maryland 20993-0002, United States

Xin He

U.S. Food and Drug Administration, Center for Devices and Radiological Health, 10903 New Hampshire Avenue, Silver Spring, Maryland 20993-0002, United States

J. Med. Imag. 1(3), 031004 (Aug 28, 2014). doi:10.1117/1.JMI.1.3.031004
History: Received April 16, 2014; Revised August 2, 2014; Accepted August 8, 2014
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Abstract.  The evaluation of medical imaging devices often involves studies that measure the ability of observers to perform a signal detection task on images obtained from those devices. Data from such studies are frequently regressed ordinally using two-sample receiver operating characteristic (ROC) models. We applied some of these models to a number of randomly chosen data sets from medical imaging and evaluated how well they fit using the Akaike and Bayesian information criteria and cross-validation. We find that for many observer data sets, a single-parameter model is sufficient and that only some studies exhibit evidence for the use of models with more than a single parameter. In particular, the single-parameter power-law model frequently well describes observer data. The power-law model has an asymmetric ROC curve and a constant mean-to-sigma ratio seen in studies analyzed with the bi-normal model. It is identical or very similar to special cases of other two-parameter models.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Frank W. Samuelson and Xin He
"Comparison of semiparametric receiver operating characteristic models on observer data", J. Med. Imag. 1(3), 031004 (Aug 28, 2014). ; http://dx.doi.org/10.1117/1.JMI.1.3.031004


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