Improved AFEM algorithm for bioluminescence tomography based on dual-mesh alternation strategy

Improved AFEM algorithm for bioluminescence tomography based on dual-mesh alternation strategy

Adaptive finite element method （AFEM） is broadly adopted to recover the internal source in biological tissues. In this letter, a novel dual-mesh alternation strategy （dual-mesh AFEM） is developed for bioluminescence tomography. By comprehensively considering the error estimation of the finite elemen...

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Bibliographic Details
Published in:Chinese optics letters Vol. 10; no. 2; pp. 71 - 74
Main Author: 李维 赵恒 屈晓超 侯彦宾 陈雪利 陈多芳 贺小伟 张岐坦 梁继民
Format: Journal Article
Language:English
Published: 10-02-2012
Subjects:
EM算法
双网
发光
断层
有限元方法
自适应有限元法
自适应过程
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Summary:Adaptive finite element method （AFEM） is broadly adopted to recover the internal source in biological tissues. In this letter, a novel dual-mesh alternation strategy （dual-mesh AFEM） is developed for bioluminescence tomography. By comprehensively considering the error estimation of the finite element method solution on each mesh, two different adaptive strategies based on the error indicator of the reconstructed source and the photon flux density are used alternately in the process. Combined with the constantly adjusted permissible region in the adaptive process, the new algorithm can achieve a more accurate source location compared with the AFEM in the previous experiments.
Bibliography:Adaptive finite element method （AFEM） is broadly adopted to recover the internal source in biological tissues. In this letter, a novel dual-mesh alternation strategy （dual-mesh AFEM） is developed for bioluminescence tomography. By comprehensively considering the error estimation of the finite element method solution on each mesh, two different adaptive strategies based on the error indicator of the reconstructed source and the photon flux density are used alternately in the process. Combined with the constantly adjusted permissible region in the adaptive process, the new algorithm can achieve a more accurate source location compared with the AFEM in the previous experiments.
31-1890/O3
Wei Li , Heng Zhao , Xiaochao Qu , Yanbin Hou , Xueli Chen , Duofang Chen, Xiaowei He , Qitan Zhang , Jimin Liang （ Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi＇an 710071, China）
ISSN:1671-7694
DOI:10.3788/COL201210.021701