Background: Fluorescence molecular tomography (FMT) is an optical imaging technique\nthat reveals biological processes within small animals through non-invasively\nreconstructing the distributions of fluorescent agents. The primary problem in FMT\nwith non-stationary fluorescent yield is the increase of the unknown parameters to be\nreconstructed. In this paper, a method is proposed to reconstruct dynamic fluorescent\nyield.\nMethods: A shape-based reconstruction method that recovers dynamic fluorescent\nyield with a level set method is proposed for FMT. To reduce the number of unknown\nparameters, a level set function is introduced to describe the shape of target and a\nsmall number of parameters are used to describe the fluorescent yields at different\ntime points.\nResults: Results of simulations and phantom experiments demonstrate that the proposed\nmethod can recover well the dynamic fluorescent yields, shapes and locations\nof the target.\nConclusions: The proposed method can handle the cases with non-stationary fluorescent\nyields and recover the fluorescent yields at each projection angle.
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