Tumor location and parameter estimation by thermography

AGNELLI JUAN PABLO, BARREA ANDRES, TURNER CRISTINA

Universidad Tecnica Federico Santa Maria, Valparaiso, Chile.

Workshop; Workshop on Inverse Problems and its Application; 2010

CIMPA - CMM (Univ. de Chile) - Univ. Tecnica Federico Santa Maria

In non-invasive thermal diagnostics, accurate correlations between the thermal image on skin surface and interior human physiology are often desired, which require general solutions for the bioheat equation. In this study an estimation methodology is presented to determine unknown thermophysical or geometrical parameters of a tumor region using the temperature profile on skin surface that may be obtained by infrared thermography. To solve these inverse problems a second order finite difference scheme was implemented to solve the bioheat Pennes equation with mixed boundary conditions in 2 and 3 dimensions. Then, the Pattern Search algorithm was used to estimate the different parameters by minimizing a fitness function involving the temperature profiles obtained from simulated or clinical data to those obtained by the finite different scheme.