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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 52, Iss. 11 — Apr. 10, 2013
  • pp: 2374–2384

Adaptive regularized method based on homotopy for sparse fluorescence tomography

Zhenwen Xue, Xibo Ma, Qian Zhang, Ping Wu, Xin Yang, and Jie Tian  »View Author Affiliations

Applied Optics, Vol. 52, Issue 11, pp. 2374-2384 (2013)

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Determining an appropriate regularization parameter is often challenging work because it has a narrow range and varies with problems, which is likely to lead to large reconstruction errors. In this contribution, an adaptive regularized method based on homotopy is presented for sparse fluorescence tomography reconstruction. Due to the adaptive regularization strategy, the proposed method is always able to reconstruct sources accurately independent of the estimation of the regularization parameter. Moreover, the proposed method is about two orders of magnitude faster than the two contrasting methods. Numerical and in vivo mouse experiments have been employed to validate the robustness and efficiency of the proposed method.

© 2013 Optical Society of America

OCIS Codes
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(170.3660) Medical optics and biotechnology : Light propagation in tissues
(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: September 5, 2012
Revised Manuscript: December 16, 2012
Manuscript Accepted: March 7, 2013
Published: April 10, 2013

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

Zhenwen Xue, Xibo Ma, Qian Zhang, Ping Wu, Xin Yang, and Jie Tian, "Adaptive regularized method based on homotopy for sparse fluorescence tomography," Appl. Opt. 52, 2374-2384 (2013)

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