Bioluminescence tomography with structural and sparse a priori information

Abstract

Accurate reconstruction the spatial distribution of bioluminescent light source from boundary measurements is a challenging inverse problem. The non-uniqueness and ill-posedness problem associated with non-spectrally resolved BLT was already demonstrated earlier. In order to obtain stable and fast reconstruction, we use sparseness-inducing regularization and structural a priori information to constrain the reconstruction process. In vivo mouse experiments demonstrate that the proposed scheme can accurately localize and quantify source distribution while maintaining solution stability. Especially, the inclusion of spatial priors from X-ray CT can improve the reconstructed image quality dramatically.