Identification of tissue and therapy parameters from surface temperature.

Abstract The temperature distribution of human body tissues, when electromagnetic waves are applied, is studied with the help bioheat equation, which characterised by several thermal parameters, such as conductivity, perfusion frequency or metabolic heat. There also electrical conductivity and dielectric constant. Besides, therapy applied power should be considered. If values all these parameters known, time evolution can determined. Some found in specialised databases, others unknown but approximate obtained reasonable estimations. outcome simulations depends heavily on parameter values. Surface helps providing better estimates Once identified, medical analyses performed to assess dosimetry radiation so that it does not damage for example. surface from a sequence thermographic images. Based experimental data, an algorithm find needed parameters. model simulated iteratively, adjusting at each step, reducing approximation error between simulation data. This optimization problem belongs realm inverse problems. It solved using techniques based gradient concept, however, this ill-conditioned, probabilistic evolutionary algorithms used. In paper, made method Legendre wavelets. proposed subsequent algorithm, has shown great robustness problems where been applied. As far never equation. aim work.