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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 18, Iss. 8 — Apr. 12, 2010
  • pp: 8630–8646

A fast reconstruction algorithm for fluorescence molecular tomography with sparsity regularization

Dong Han, Jie Tian, Shouping Zhu, Jinchao Feng, Chenghu Qin, Bo Zhang, and Xin Yang  »View Author Affiliations

Optics Express, Vol. 18, Issue 8, pp. 8630-8646 (2010)

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Through the reconstruction of the fluorescent probe distributions, fluorescence molecular tomography (FMT) can three-dimensionally resolve the molecular processes in small animals in vivo. In this paper, we propose an FMT reconstruction algorithm based on the iterated shrinkage method. By incorporating a surrogate function, the original optimization problem can be decoupled, which enables us to use the general sparsity regularization. Due to the sparsity characteristic of the fluorescent sources, the performance of this method can be greatly enhanced, which leads to a fast reconstruction algorithm. Numerical simulations and physical experiments were conducted. Compared to Newton method with Tikhonov regularization, the iterated shrinkage based algorithm can obtain more accurate results, even with very limited measurement data.

© 2010 OSA

OCIS Codes
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.6280) Medical optics and biotechnology : Spectroscopy, fluorescence and luminescence
(170.6960) Medical optics and biotechnology : Tomography

ToC Category:
Medical Optics and Biotechnology

Original Manuscript: January 13, 2010
Revised Manuscript: March 25, 2010
Manuscript Accepted: April 1, 2010
Published: April 9, 2010

Virtual Issues
Vol. 5, Iss. 8 Virtual Journal for Biomedical Optics

Dong Han, Jie Tian, Shouping Zhu, Jinchao Feng, Chenghu Qin, Bo Zhang, and Xin Yang, "A fast reconstruction algorithm for fluorescence molecular tomography with sparsity regularization," Opt. Express 18, 8630-8646 (2010)

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