Recognition for multiple sources of bioluminescence tomography: a comparative study

Huangjian Yi; Yuelin Hu; Pu Jiao; Xin Cao; Yuqing Hou; Fengjun Zhao; Xiaowei He

doi:10.1117/12.2504956

15 November 2018 Recognition for multiple sources of bioluminescence tomography: a comparative study

Huangjian Yi, Yuelin Hu, Pu Jiao, Xin Cao, Yuqing Hou, Fengjun Zhao, Xiaowei He

Proceedings Volume 10964, Tenth International Conference on Information Optics and Photonics; 1096415 (2018) https://doi.org/10.1117/12.2504956
Event: Tenth International Conference on Information Optics and Photonics (CIOP 2018), 2018, Beijing, China

Abstract

Bioluminescence tomography (BLT) can reconstruct internal bioluminescent source from the surface measurements. However, multiple sources resolving of BLT is always a challenge. In this work, a comparative study on hybrid clustering algorithm, synchronization-based clustering algorithm and iterative self-organizing data analysis technique algorithm for multiple sources recognition of BLT is conducted. Simulation experiments on two and three sources reconstruction are demonstrated the performances of these three algorithms. The results show that the iterative selforganizing data analysis technique is more suitable for the closer multiple-targets and the other two algorithms are suitable for distant targets. Moreover, iterative self-organizing data analysis technique has the least computing time.

Citation Download Citation

Huangjian Yi, Yuelin Hu, Pu Jiao, Xin Cao, Yuqing Hou, Fengjun Zhao, and Xiaowei He "Recognition for multiple sources of bioluminescence tomography: a comparative study", Proc. SPIE 10964, Tenth International Conference on Information Optics and Photonics, 1096415 (15 November 2018); https://doi.org/10.1117/12.2504956

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