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Synchronization-based clustering algorithm for reconstruction of multiple reconstructed targets in fluorescence molecular tomography.
- Source :
-
Journal of the Optical Society of America. A, Optics, image science, and vision [J Opt Soc Am A Opt Image Sci Vis] 2018 Feb 01; Vol. 35 (2), pp. 328-335. - Publication Year :
- 2018
-
Abstract
- 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 the reconstruction of a single fluorescent target but may fail in reconstructing multiple targets because of the severe ill-posedness of the FMT inverse problem. In this paper the original synchronization-inspired clustering algorithm (OSC) is introduced into FMT for resolving multiple targets from the reconstruction result. Based on OSC, a synchronization-based clustering algorithm for FMT (SC-FMT) is developed to further improve location accuracy. Both algorithms utilize the minimum spanning tree to automatically identify the number of the reconstructed targets without prior information and human intervention. A serial of numerical simulation results demonstrates that SC-FMT and OSC can resolve multiple targets robustly and automatically, which also shows the potential of the proposed postprocessing algorithms in FMT reconstruction.
Details
- Language :
- English
- ISSN :
- 1520-8532
- Volume :
- 35
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Journal of the Optical Society of America. A, Optics, image science, and vision
- Publication Type :
- Academic Journal
- Accession number :
- 29400883
- Full Text :
- https://doi.org/10.1364/JOSAA.35.000328