Automatic Diagnosis of Breast Abnormality Using Digital IR Camera

Abstract

Breast Cancer is the most commonly diagnosed form of cancer in women. Breast cancer can be treated effectively only if it is detected at earlier stage. Mammography is recognized as the standard method for diagnosing breast cancer, Infrared Thermography based cancer diagnosis is able to detect cancer in its early stage of development and progression, thus survival is possible. Clinical interpretation of breast thermo grams is primarily based on the asymmetry analysis of the heat patterns visually and subjectively. In this paper an approach for segmentation of region of interest and asymmetry analysis of breast thermo grams is implemented. Asymmetry analysis is performed according to the extracted features based on temperature distribution. The abnormality of breast thermo grams is clearly indicated by these features and by comparison of the results with doctor's diagnosis. Thus Infrared Thermography is a physiological test and is sensitive to physiological changes that are precancerous alarms that may lead to tumor and is proved to be an effective, adjunct and diagnostic tool in Breast Abnormality Detection.