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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...
We investigated the performances of time-gated dataset to perform functional DOT in a synthetic murine model. The light propagation model used was based on the Monte Carlo method for accuracy. It is found that time-gates provide superior performances compared to classical approaches. Especially, time gates allow for efficient separation between absorption and scattering heterogeneities with minimal...
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