A Wavelet-Based Reconstruction Algorithm for Fluorescent Molecular Tomography
Image reconstruction of fluorescent molecular tomography (FMT) involves repeatedly solving the large-dimension matrix equations which are computationally expensive, especially for the case when there are large deviations in the optical properties between the target and the reference medium. In this paper, a wavelet-based reconstruction approach is proposed for the FMT reconstruction in combination with a parallel forward computing strategy, in which both the forward and the inverse problem of FMT are solved in the wavelet domain. Simulation results demonstrate that the proposed approach can significantly speed up the reconstruction process and improve the image quality of FMT.