稀疏正则和自适应有限元的荧光分子断层成像

doi:10.3969/j.issn.1001-2400.2015.02.029

J4 ›› 2015, Vol. 42 ›› Issue (2): 174-179.doi: 10.3969/j.issn.1001-2400.2015.02.029

• Original Articles • Previous Articles Next Articles

Fluorescence molecular tomography based on the sparse regularization and adaptive finite element method

CHENG Jingxing¹;HOU Yuqing¹;DONG Fang¹;HE Xiaowei¹;YU Jingjing²

(1. School of Information Sciences and Technology, Northwest Univ., Xi'an 710069, China; 2. School of Physics and Information Technology, Shaanxi Normal Univ., Xi'an 710062, China)

Received:2013-12-25 Revised:2014-04-08 Online:2015-04-20 Published:2015-04-14
Contact: HE Xiaowei E-mail:hexw@nwu.edu.cn

Abstract

Abstract: A two-stage reconstruction algorithm that combines sparse regularization with the adaptive finite element method is proposed, and two different inversion algorithms are employed separately on the initial coarse mesh and the second refined one. Numerical simulation results with a digital mouse model demonstrate the stability and computational efficiency of the proposed method for FMT.

Key words: fluorescence molecular tomography, sparse regularization, refluorescence molecular tomography, sparse regularization, reconstruction algorithm

CHENG Jingxing;HOU Yuqing;DONG Fang;HE Xiaowei;YU Jingjing. Fluorescence molecular tomography based on the sparse regularization and adaptive finite element method [J].J4, 2015, 42(2): 174-179.

References

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Fluorescence molecular tomography based on the sparse regularization and adaptive finite element method

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