12 March 2018 A fast reconstruction algorithm for fluorescence molecular tomography via multipath subspace pursuit method
Author Affiliations +
Fluorescence Molecular Tomography (FMT) is one of the most important preclinical research techniques, which can obtain three-dimensional reconstruction of tumors in mouse in vivo. However, the ill-posedness of FMT makes its reconstruction a challenging problem. Therefore, more effective, robust, and accurate reconstruction methods are needed to be developed to solve the FMT reconstruction problem.

In this paper, a reconstruction method named multipath subspace pursuit (MSP) is applied to solve the FMT problem. At the end of an iteration, the MSP method creates several candidate support set. Through evaluating the normal of final residual vector, the best candidate can be selected as the final support set. Then the support set is used for reconstructing sense matrix to achieve the goal of FMT reconstruction.

In order to verity the reconstruction result of the proposed MSP method, the simulated experiment of triple fluorescent sources and quantitative analyses of position error and relative intensity error for the experiment have been conducted. The MSP method obtains satisfactory results, and the source position error is below 1 mm. Moreover, the computation time of the MSP method is about one order of magnitude less than iterated shrinkage with the L1-norm (IS_L1) method. The MSP method not only can obtain the result of robustness but also can reduce the artifacts in the background. The above results revealed the MSP method for the potential FMT application.
Conference Presentation
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HaoXuan Ni, HaoXuan Ni, Jinzuo Ye, Jinzuo Ye, Dehui Xiang, Dehui Xiang, Yang Du, Yang Du, Xinjian Chen, Xinjian Chen, Xiang Deihui, Xiang Deihui, Jie Tian, Jie Tian, } "A fast reconstruction algorithm for fluorescence molecular tomography via multipath subspace pursuit method", Proc. SPIE 10578, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1057810 (12 March 2018); doi: 10.1117/12.2292280; https://doi.org/10.1117/12.2292280

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