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Weighted depth compensation algorithm for fluorescence molecular tomography reconstruction

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Abstract

In fluorescence molecular tomography (FMT), diffuse-light measurements are obtained from a series of source–detector pairs placed on the boundary of the medium. The sensitivity of measurements deteriorates quickly with increased distance from the sources and detectors and therefore yields poor depth quantitative recovery. A depth compensation algorithm is presented in this paper to reconstruct fluorescent inclusions in deep tissues. Two weight matrixes are employed to level off sensitivity differences and enhance prominent elements of the solution. Results of numerical and phantom experiments demonstrate that both relative quantitation and spatial resolution of FMT are improved for inclusions at different depths.

© 2012 Optical Society of America

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