Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
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A software tool is presented for the automatic evaluation of the CDMAM phantom images that are currently used for the quality assessment of the image quality in mammography. This software tool is based on the use of the cross-correlation component of the index MS-SSIM*, R*, oriented to the recognition threshold of different image representations. Given an image sequence, whose include more information, the recognition threshold corresponds to first the image in the sequence in which an observer indentifies the content. We have validated our software tool by comparing our readouts with obtained by a total of 4 expert observers in the evaluation of 8 CDMAM images. The correlations obtained between both readout sets are better than 0.99 and the range of useful correlation comprises diameters from 0.16 mm to 2.0 mm of the gold disks inside the CDMAM.