论文信息 - Automatic scoring of CDMAM using a model of the recognition threshold of the human visual system: R*

Automatic scoring of CDMAM using a model of the recognition threshold of the human visual system: R*

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 images begin as unrecognizable and are gradually refined to 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 those 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.

Eduardo Guibelalde | Margarita Chevalier | Gabriel Prieto

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