Image quality index (IQI) for screen-film mammography.

A suitable quantity for evaluating the image quality in mammography is the smallest visible size of an object. This quantity, called the image quality index (IQI), can be derived from the basic image parameters: contrast, MTF, Wiener spectrum. Several evaluation methods of the IQI, all based on statistical decision theory, have been considered. An experimental visibility test using simulated microcalcifications has been performed in order to compare the results obtained with different IQI models. A previous approach, based on simplifying assumptions, yields a good correlation with the visibility test but fails to predict the actual size of the visible objects. Improved models have been derived for an ideal observer and for a 'quasi-ideal' one with perfect or with realistic visual characteristics. The experimental visual results are well modelled by the IQI method, provided that a suitable threshold signal-to-noise ratio is used for each of these models.

[1]  A. Rose The sensitivity performance of the human eye on an absolute scale. , 1948, Journal of the Optical Society of America.

[2]  K Doi,et al.  A comparison of physical image quality indices and observer performance in the radiographic detection of nylon beads. , 1984, Physics in medicine and biology.

[3]  C. Depeursinge,et al.  Simultaneous Objective Measurements Of Dose And Image Quality In Mammography , 1982, Other Conferences.

[4]  J. L. Harris Resolving Power and Decision Theory , 1964 .

[5]  T. Villafana,et al.  Screen-film mammographic technique for breast cancer screening. , 1987, Radiology.

[6]  R. F. Wagner,et al.  Unified SNR analysis of medical imaging systems , 1985, Physics in medicine and biology.

[7]  M. Yaffe,et al.  Signal-to-noise properties of mammographic film-screen systems. , 1985, Medical physics.

[8]  Y Pochon,et al.  Objective assessment of mammography systems. Part II: Implementation. , 1985, Radiology.

[9]  C E Metz,et al.  Digital image processing: effect on detectability of simulated low-contrast radiographic patterns. , 1984, Radiology.

[10]  H Kanamori,et al.  The information spectrum as a measure of radiographic image quality and system performance. , 1984, Physics in medicine and biology.

[11]  A Fenster,et al.  A method for modulation transfer function determination from edge profiles with correction for finite-element differentiation. , 1987, Medical physics.

[12]  P C Bunch,et al.  Analysis of the detective quantum efficiency of a radiographic screen-film combination. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[13]  L N Loo,et al.  X-ray tube focal spot sizes: comprehensive studies of their measurement and effect of measured size in angiography. , 1982, Radiology.

[14]  M. E. Masterson,et al.  Epoxy-resin-based tissue substitutes. , 1977, Medical physics.

[15]  Kunio Doi,et al.  Digital Image Processing: Optimal Spatial Filter For Maximization Of The Perceived Snr Based On A Statistical Decision Theory Model For The Human Observer , 1985, Medical Imaging.

[16]  Y Pochon,et al.  Objective assessment of mammography systems. Part I: Method. , 1985, Radiology.