Synchronization-based Clustering Algorithm for Reconstruction of Multiple Reconstructed Targets in Fluorescence Molecular Tomography
Synchronization-based Clustering Algorithm for Reconstruction of Multiple Reconstructed Targets in Fluorescence Molecular Tomography
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DOI：
10.1364/josaa.35.000328
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
贺小伟
中科院分区：
文献类型：
--
作者：
邬子同;王晓东;余景景;易黄建;贺小伟
Fluorescence molecular tomography (FMT) is an important in vivo molecular imaging technique and has been widely studied in preclinical research. Many methods perform well in reconstruction of single fluorescent target but may fail in reconstructing multiple targets because of the severe ill-poseness of FMT inverse problem. In this paper original synchronization-inspired clustering algorithm (OSC) is introduced into FMT for resolving multiple targets from reconstruction result. Based on OSC, a synchronization-based clustering algorithm for FMT (SC-FMT) is developed to further improve location accuracy. Both algorithms utilize minimum spanning tree to automatically identify the number of the reconstructed targets without prior information and human intervention. A serial of numerical simulation results demonstrate that SC-FMT and OSC can resolve multiple targets robustly and automatically, which also show the potential of the proposed postprocessing algorithms in FMT reconstruction.
