Mammographic Texture Analysis : An Evaluation Of Risk For Developing Breast Cancer

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Abstract
The aim of this research is to avoid as much as possible the development of the woman breast cancer by the mean of a preventive systematic analysis of mammographic textures and the automatic determination of a "risk coefficient" for each given texture. In a first step, a standard procedure for obtaining X-ray mammograms is set-up and a specialist classifies the resulting radiographic images in four groups of risk. In a second step, specific and selected textures algorithms using both global and local statistical properties of the images are implemented. A number of X-ray mammograms, given by the hospital, has been studied. One of the resulting important observation is that it seems unapropriate to define a set of distinct classes of risk and that 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 : a critical examination of these preliminary results leads us to a constructive discussion concerning the future developments of the proposed method.

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