Abstract
Body temperature could be utilized for diagnosis of the many health related conditions. Since, tumors are highly vascular, temperature variations on the skin surface could be treated as a symptom for tumor detection. Therefore, infrared (IR) cameras could be used as a non ionizing, non contact, and a safe method of tumor detection. Studying thermograms obtained from such cameras, tumor parameters such as depth and radius could be assessed. Additionally, employing artificial neural networks (ANN), such parameters are optimized for a more accurate diagnosis and a better cancer treatment. The present study has revised and analyzed the aforementioned parameters and presents a newly derived equation based on Penne's bio-heat equation in order to validate obtained results. Furthermore, it was found that surface temperature is the most sensitive parameter in tumor localization, hence, using a well calibrated camera is essential for surface heat detection and cancer identification.
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