Abstract
This paper proposes the use of available anatomical and epidemiological (statistical) information regarding breast cancer in conjunction with microwave and ultrasound breast imaging. This information, which can be extracted from the broader medical research effort, can be used in conjunction with image reconstruction algorithms to further guide those algorithms towards a more accurate solution. In particular, we propose to consider the following anatomical and statistical information into the image reconstruction process via the tissue-type framework. Anatomical information is utilized in assigning a tissue-type and its corresponding probability to a given pixel by considering the neighbouring reconstructed pixels (epidemiological information related to the anatomical surroundings of the pixel is used to modify the prior probabilities in the Bayes prediction model). Two types of epidemiological information are used in reconstructing the tissue-type image to improve the discrimination between tumor and cyst: the quadrant of the breast within which a pixel is located provides statistical information regrading whether of being cancerous, and the age of the patient can provide similar information.
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