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Proceedings Paper

Three-dimensional source reconstruction for bioluminescence tomography using the LSQR method with preconditioning
Author(s): Jingjing Yu; Fang Liu; Licheng Jiao; Xiaowei He
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Paper Abstract

As a novel optical molecular imaging modality, Bioluminescence Tomography (BLT) aims at quantitative reconstruction of the bioluminescent source distribution inside the biological tissue from the optical signals measured on the living animal surface, which is a highly ill-posed inverse problem. In this paper, with the finite element method solving the diffusion equation, an iterative regularization algorithm, referred to as least square QR-factorization (LSQR), is applied to the inverse problem in BLT. The affect of the preconditioning strategy on the LSQR method (PLSQR) for BLT is also investigated. The Simulations with a heterogeneous mouse chest phantom demonstrate that by incorporating a priori knowledge of the permissible source region, the LSQR method can reconstruct the source accurately and stably. Moreover, by employing preconditioning strategy, PLSQR outperforms LSQR in terms of source power density and convergence speed.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74971N (30 October 2009); doi: 10.1117/12.832906
Show Author Affiliations
Jingjing Yu, Xidian Univ. (China)
Shaanxi Normal Univ. (China)
Key Lab. of Intelligent Perception and Image Understanding (China)
Fang Liu, Xidian Univ. (China)
Key Lab. of Intelligent Perception and Image Understanding (China)
Licheng Jiao, Key Lab. of Intelligent Perception and Image Understanding (China)
Xidian Univ. (China)
Xiaowei He, Northwest Univ. (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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