A multistage methodology for detection of microcalcifications in digital mammography

Hervé Guillemet; Habib Benali; Edmond Kahn; Robert Di Paola

Acta Stereologica

0351-580X

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Hervé Guillemet, Habib Benali, Edmond Kahn & Robert Di Paola

A multistage methodology for detection of microcalcifications in digital mammography

(Volume 15 (1996) — Number 2 - Applications of stereology in life sciences - July 1996)

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Abstract

This paper describes a coarse-to-ﬁne approach for detection and segmentation of clustered microcalcifications. Starting from digitized images of whole mammographic films, the method involves three main stages. First, the breast is segmented. Then a texture analyzer based on the fractional Brownian motion model is applied to select those regions that may contain a cluster. The last stage computes the isophote map of the selected regions and considers the relative positions of isophotes to recognize the microcalcifications.

The method was evaluated using a database of 150 mammographic images of patients who underwent a surgical biopsy for a cluster of microcalcifications. In 95% of mammograms, the clusters are correctly localized if we accept an average 1,5 false positive cluster per mammography.

Keywords : fractal, image analysis, isophote, mammogram, microcalcifications

To cite this article

Hervé Guillemet, Habib Benali, Edmond Kahn & Robert Di Paola, «A multistage methodology for detection of microcalcifications in digital mammography», Acta Stereologica [En ligne], Volume 15 (1996), Number 2 - Applications of stereology in life sciences - July 1996, 125-130 URL : https://popups.uliege.be/0351-580x/index.php?id=516.