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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 51, Iss. 23 — Aug. 10, 2012
  • pp: 5676–5685

Efficient sparse reconstruction algorithm for bioluminescence tomography based on duality and variable splitting

Wei Guo, Kebin Jia, Dong Han, Qian Zhang, Xueyan Liu, Jinchao Feng, Chenghu Qin, Xibo Ma, and Jie Tian  »View Author Affiliations


Applied Optics, Vol. 51, Issue 23, pp. 5676-5685 (2012)
http://dx.doi.org/10.1364/AO.51.005676


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Abstract

Bioluminescence tomography (BLT) can three-dimensionally and quantitatively resolve the molecular processes in small animals in vivo. In this paper, we propose a BLT reconstruction algorithm based on duality and variable splitting. By using duality and variable splitting to obtain a new equivalent constrained optimization problem and updating the primal variable as the Lagrangian multiplier in the dual augmented Lagrangian problem, the proposed method can obtain fast and stable source reconstruction even without the permissible source region and multispectral measurements. Numerical simulations on a mouse atlas and in vivo mouse experiments were conducted to validate the effectiveness and potential of the method.

© 2012 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

History
Original Manuscript: January 11, 2012
Revised Manuscript: July 2, 2012
Manuscript Accepted: July 17, 2012
Published: August 7, 2012

Virtual Issues
Vol. 7, Iss. 10 Virtual Journal for Biomedical Optics

Citation
Wei Guo, Kebin Jia, Dong Han, Qian Zhang, Xueyan Liu, Jinchao Feng, Chenghu Qin, Xibo Ma, and Jie Tian, "Efficient sparse reconstruction algorithm for bioluminescence tomography based on duality and variable splitting," Appl. Opt. 51, 5676-5685 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-23-5676

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