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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Editor: Stephen A. Burns
  • Vol. 24, Iss. 7 — Jul. 1, 2007
  • pp: 2014–2022

Fluorescent molecular tomographic image reconstruction based on the Green’s function

Wei Zou, Jiajun Wang, and David Dagan Feng  »View Author Affiliations

JOSA A, Vol. 24, Issue 7, pp. 2014-2022 (2007)

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The rapid and accurate computation of the Jacobian matrix, which is usually computationally intensive, is of critical importance for the reconstruction problem of fluorescent molecular tomography (FMT). An extension of the Green’s function method for the Jacobian matrix computation suitable for two coupled differential equations is proposed, in combination with the parallel forward computing strategy for FMT image reconstruction. For further acceleration of the reconstruction process without significant quality reduction of the results, we also propose to reconstruct the FMT image on an adaptively refined mesh generated with a priori information incorporated. Experimental results demonstrate that the speed of the reconstruction process can be significantly improved with the proposed overall algorithm.

© 2007 Optical Society of America

OCIS Codes
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.6960) Medical optics and biotechnology : Tomography
(200.4960) Optics in computing : Parallel processing
(260.2510) Physical optics : Fluorescence

ToC Category:
Medical Optics and Biotechnology

Original Manuscript: October 17, 2006
Revised Manuscript: February 6, 2007
Manuscript Accepted: February 10, 2007
Published: June 13, 2007

Virtual Issues
Vol. 2, Iss. 8 Virtual Journal for Biomedical Optics

Wei Zou, Jiajun Wang, and David Dagan Feng, "Fluorescent molecular tomographic image reconstruction based on the Green's function," J. Opt. Soc. Am. A 24, 2014-2022 (2007)

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