Neural network approach for the determination of heat source parameters from surface temperature image

The infrared imaging technology is widely used in nondestructive and noninvasive imaging nowadays. The scientists and researches are showing much more interest to the expansion of this technology in medical imaging. The infrared images show a passive relationship between the body surface temperature and tissue metabolism. Determination of the metabolism rate, hyperactive region and depth from the surface temperature image is the major challenge for the researchers. In this paper a heat source model was developed for determination the depth, intensity and radius of from the surface temperature distribution may be obtained by infrared thermographs. The estimation methodology involves algorithms using artificial neural network (ANN) to map the relationship of tumor parameters to the temperature profile over the heat source model of tumor.