Mammographic Image Analysis

The key contribution of the approach to X-ray mammographic image analysis developed in this monograph is a representation of the non-fatty compressed breast tissue that can be derived from a single mammogram. It also develops a model-based approach to X-ray mammography.

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The key contribution of the approach to X-ray mammographic image analysis developed in this monograph is a representation of the non-fatty compressed breast tissue that can be derived from a single mammogram. The importance of the representation, called hint, is that it removes all those changes in the image that are due only to the particular imaging conditions (for example, the film speed or exposure time), leaving just the non-fatty "interesting" tissue. Normalizing images in this way enables them to be enhanced and matched, and regions in them to be classified more reliably, because unnecessary, distracting variations have been eliminated. The first part of the monograph develops a model-based approach to X-ray mammography, while part two shows how it can be put to work successfully on a range of clinically-important tasks. Part three develops a model and exploits it for contrast-enhanced MRI mammography. The final chapter points the way forward in a number of promising areas of research.