Abstract: The research on nondestructive reconstruction of 3D temperature field in biological possesses great significance for the biomedical engineering field. A novel method presented about the nondestructive reconstruction of 3D temperature field in biological tissue based on adaptive simulated annealing (ASA ) algorithm. By this method, the resolving of inverse problem of bio-heat transfer is transformed to be a solving process of direct problem. Set the position P(x, y, z) of point heat source in biological tissue and its temperature t as optimization variables, get the experimental temperature values of the points in a module surface subtract form the corresponding simulating temperature values in the same module surface, and then take the sum of absolute value. Taking it as the objective function of successive iteration, if the target value is less, the current variables are more optimal. To improve the optimization efficiency, a novel establishment method of objective function is also provided. The simulating position and experimental position of heat source is very approximate. When the optimum values are determined, the corresponding 3D temperature field is also confirmed, and the temperature distribution of arbitrary section can be acquired. The ASA algorithm can be well applied in the reconstruction of 3D temperature field in biological tissue. It is convenient and speedy, and contains capacious application prospect.

Key words: 3D temperature field, adaptive simulated annealing (ASA), integrated optimization, target function