In this contribution we introduce adaptive finite element methods for forward modeling in fluorescence optical tomography. Adaptive local mesh refinement increases the accuracy of the solutions of coupled photon diffusion equations in a computationally optimal manner and when implemented in the inverse problem, can impact the resolution of fluorescence enhanced tomography. An adaptive Galerkin finite element scheme is implemented and the simulation results are compared with experimental data obtained from a tissue phantom by an area illumination and area detection scheme.
Amit Joshi, Eva M. Sevick-Muraca, Alan B. Thompson