Anatomical segmentation for guided Fluorescence Molecular Tomography in small animals

In this work, we investigate the performances of segmentation algorithms applied to micro-CT images of small animal to derive anatomical templates for guided Fluorescence Molecular Tomography. We report on the performances of Active Contours methods to retrieve the boundary surface of the specimen and the internal distribution of a fluorescent probe. The spatial information gained from this segmentation procedure is used to cast an accurate light propagation forward model and used as spatial prior to constrain the optical inverse problem.