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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 36 — Dec. 20, 2010
  • pp: 6930–6937

Efficient reconstruction method for L1 regularization in fluorescence molecular tomography

Dong Han, Xin Yang, Kai Liu, Chenghu Qin, Bo Zhang, Xibo Ma, and Jie Tian  »View Author Affiliations

Applied Optics, Vol. 49, Issue 36, pp. 6930-6937 (2010)

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Fluorescence molecular tomography (FMT) is a promising technique for in vivo small animal imaging. In this paper, the sparsity of the fluorescent sources is considered as the a priori information and is promoted by incorporating L1 regularization. Then a reconstruction algorithm based on stagewise orthogonal matching pursuit is proposed, which treats the FMT problem as the basis pursuit problem. To evaluate this method, we compare it to the iterated-shrinkage-based algorithm with L1 regularization. Numerical simulations and physical experiments show that the proposed method can obtain comparable or even slightly better results. More importantly, the proposed method was at least 2 orders of magnitude faster in these experiments, which makes it a practical reconstruction algorithm.

© 2010 Optical Society of America

OCIS Codes
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(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: July 6, 2010
Revised Manuscript: October 23, 2010
Manuscript Accepted: October 29, 2010
Published: December 15, 2010

Dong Han, Xin Yang, Kai Liu, Chenghu Qin, Bo Zhang, Xibo Ma, and Jie Tian, "Efficient reconstruction method for L1 regularization in fluorescence molecular tomography," Appl. Opt. 49, 6930-6937 (2010)

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