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Optical Engineering

Mammographic Texture Analysis: An Evaluation Of Risk For Developing Breast Cancer
Author(s): I. E. Magnin; F. Cluzeau; C. L. Odet; A. Bremond
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Paper Abstract

This paper deals with early and accurate breast cancer risk assessment for women. The use of texture analysis tools for the eventual development of an automatic system is proposed. In a first step, a standard procedure for obtaining x-ray mammograms is set up, the resulting radiographic images then being classified into four risk groups by a specialist. In a second step, specific and selected texture algorithms using both global and local statistical properties of the images are implemented. A number of x-ray mammograms have been studied. One of the resulting important observations is that it seems inappropriate to define a set of distinct classes of risk; rather, an increasing gravity degree correlated to a continuous evolution of the mammographic textures from the lowest to the highest degree of risk is to be preferred. Finally, a systematic comparison between the human classification and the numerical coefficients provided by the texture analysis is performed. The coefficients do not allow risk classification by themselves. A critical examination of these preliminary results leads us to a constructive discussion concerning the future developments of the proposed method.

Paper Details

Date Published: 1 June 1986
PDF: 5 pages
Opt. Eng. 25(6) 256780 doi: 10.1117/12.7973905
Published in: Optical Engineering Volume 25, Issue 6
Show Author Affiliations
I. E. Magnin, INSERM-Laboratoire Traitement du Signal et Ultrasons (France)
F. Cluzeau, INSERM-Laboratoire Traitement du Signal et Ultrasons (France)
C. L. Odet, INSERM-Laboratoire Traitement du Signal et Ultrasons (France)
A. Bremond, Hopital Edouard Herriot (France)

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