Application of components analysis in dynamic thermal breast imaging to identify pathophysiologic mechanisms of heat transfer

Using the Brazilian visual lab mastology data set containing dynamic thermograms, applying components analysis resulted in two corresponding images: 1. Slight decrease as function of rewarming (suggests correlation with the cancer generated heat), 2. Temperature increase as function of rewarming (suggests correlation with veins affected by vasomodulation). All components appear clear and distinct. Applying signal processing methods to the dynamic infrared data, we found distinct components with correspondence to understood physiologic processes. The cases shown are self-evident of the capability of the method but are lacking supporting ground truth that is unavailable with such a limited data set.