New developments in observer performance methodology in medical imaging.

作者: Dev P. Chakraborty

DOI: 10.1053/J.SEMNUCLMED.2011.07.001

关键词:

摘要: A common task in medical imaging is assessing whether a new system, or variant of an existing one, improvement over technology. Imaging systems are generally quite complex, consisting several components—for example, image acquisition hardware, processing and display hardware software, interpretation by radiologists- each which can affect performance. Although it may appear odd to include the radiologist as "component" chain, because radiologist's decision determines subsequent patient care, effect human has be included. Physical measurements such modulation transfer function, signal-to-noise ratio, useful for characterizing nonhuman parts chain under idealized often unrealistic conditions, uniform background phantoms target objects with sharp edges. Measuring performance entire including radiologist, using real clinical images requires different methods that fall rubric observer "ROC" analysis, involve collecting rating data on images. The purpose this work review recent developments field, particularly respect free-response method, where location information also collected.

参考文章(69)
Robert F. Wagner, Sergey V. Beiden, Charles E. Metz, Continuous versus categorical data for ROC analysis: some quantitative considerations. Academic Radiology. ,vol. 8, pp. 328- 334 ,(2001) , 10.1016/S1076-6332(03)80502-0
Donald D. Dorfman, Kevin S. Berbaum, A contaminated binormal model for ROC data: Part III. Initial evaluation with detection ROC data. Academic Radiology. ,vol. 7, pp. 438- 447 ,(2000) , 10.1016/S1076-6332(00)80384-0
John Arthur Swets, David Marvin Green, Signal Detection Theory and Psychophysics ,(1974)
Stuart J. Starr, Charles E. Metz, Lee B. Lusted, David J. Goodenough, Visual Detection and Localization of Radiographic Images Radiology. ,vol. 116, pp. 533- 538 ,(1975) , 10.1148/116.3.533
Charles E. Metz, Xiaochuan Pan, ”Proper” binormal ROC curves: theory and maximum-likelihood estimation Journal of Mathematical Psychology. ,vol. 43, pp. 1- 33 ,(1999) , 10.1006/JMPS.1998.1218
Charles E. Metz, Basic principles of ROC analysis Seminars in Nuclear Medicine. ,vol. 8, pp. 283- 298 ,(1978) , 10.1016/S0001-2998(78)80014-2
H L Kundel, C F Nodine, A visual concept shapes image perception. Radiology. ,vol. 146, pp. 363- 368 ,(1983) , 10.1148/RADIOLOGY.146.2.6849084