Mammographic risk assessment based on anatomical linear structures

Authors:
Edward M. Hadley;Erika R. E. Denton;Reyer Zwiggelaar
Affiliations:
Department of Computer Science, University of Wales, Aberystwyth, UK;Department of Radiology, Norfolk and, Norwich University Hospital, UK;Department of Computer Science, University of Wales, Aberystwyth, UK
Venue:
IWDM'06 Proceedings of the 8th international conference on Digital Mammography
Year:
2006

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Abstract

Mammographic risk assessment is concerned with the probability of a woman developing breast cancer. Recently, it has been suggested that the density of linear structures is related to risk. For 321 images from the MIAS database, a measure of line strength was obtained for each pixel using the Line Operator method. The proportion of pixels with line strength above a threshold level was calculated for each image and the results categorised by Tabar pattern, Boyd SCC class and BIRADS class. The results indicated a significant difference between Boyd classes 1–3 (low risk) and classes 4–6 (high risk), and between most Tabar patterns and BIRADS classes.