Biological Tissue Surface Thermal Simulation And The Heat Source Information Inversion

Bio-heat transfer is the study of heat transfer in biological systems. Many researchers have always been interested in this field and have done a lot of work to this problem. Computational techniques to various models of bio-heat transfer scenarios are widely employed and hold an important place in developing devices and protocols for the medical community. In this paper, discretized bio-heat transfer formula was deduced base on Pennes bio-heat transfer equation in order to develop a Monte Carlo algorithm according to different types of boundary conditions. The results of Monte Carlo algorithm for one-dimensional heat transfer problem under first boundary condition and third boundary condition were compared with that of exact solution to verify the feasibility of the Monte Carlo method. Monte Carlo method was then extended to three-dimensional biological model so as to obtain temperature distribution of biological tissue in this case, and the effect of internal heat source was analyzed. After the calculation of temperature distribution of biological tissue surface with an internal heat source, the values of temperature were sliced to display a pseudo-color image. In this way, an infrared thermal image was simulated, easy to observe abnormal tissue area. Ultimately, a mapping method was developed trying to obtain the depth information of the internal heat source. For a point source, use the mapping method directly, while for an extended source, employ blind deconvolution to correct the image first. The accuracy after blind deconvolution was increased by40%. Therefore blind deconvolution was benefit for this method.