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Proposes an automated approach to the study of metabolic activities within a human body using thermal infrared (TIR) imaging. It uses early detection of breast cancer as an example to show the effectiveness of the approach. Different shape analysis parameters are employed in the development. Some preliminary results show the effectiveness of using shape analysis to automate the detection of half power point and thus the depth of the heat source.