Cancer diagnostics using spatially resolved fluorescence-based optical imaging

We propose a cancer diagnostics method using 3D reconstruction of fluorescence based optical imaging data. The reconstruction of luminescence sources in biological tissue is investigated using data obtained from Monte Carlo simulations as well as simulated data using the diffusion approximation. The absolute determination of the tumor locations is dependent on the information gathered by the recorded data. To tackle the forward problem we used the solution of the diffusion equation for a cube. The inverse problem is solved.