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Proceedings Paper

Quantitative analysis of phantom images in mammography
Author(s): Michael P. Eckert; Dev Prasad Chakraborty
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Paper Abstract

We asked a number of readers to evaluate 28 images of the ACR phantom acquired under a broad range of conditions (varying kVp, mAs, grid, no-grid, scatter materials). The phantom contains three types of structures: fibrils, microcalcification groups, and masses. The evaluation was performed according to the standard ACR criteria (i.e. counting the number of visible structures). The resulting scores were averaged across readers to obtain the average number of fibers, masses, and microcalcification groups seen for each image. The images were digitized and analzyed to obtain values for the noise level, background pixel value, and the contrast of image structures. We then found the linear combination of the image measurements which best predicted the reader scores. The variablity of the reader scores and variablity of the computer measures were also analyzed. We found that the computer measures of image contrast provide a good prediction of observer scores, have much less variablity than the observer scores, are straightforward to obtain, and are reproducible.

Paper Details

Date Published: 11 May 1994
PDF: 13 pages
Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175127
Show Author Affiliations
Michael P. Eckert, Hospital of the Univ. of Pennsylvania (United States)
Dev Prasad Chakraborty, Hospital of the Univ. of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 2167:
Medical Imaging 1994: Image Processing
Murray H. Loew, Editor(s)

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