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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 15, Iss. 26 — Dec. 24, 2007
  • pp: 18300–18317

Reconstruction for free-space fluorescence tomography using a novel hybrid adaptive finite element algorithm

Xiaolei Song, Daifa Wang, Nanguang Chen, Jing Bai, and Hongkai Wang  »View Author Affiliations

Optics Express, Vol. 15, Issue 26, pp. 18300-18317 (2007)

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With the development of in-vivo free-space fluorescence molecular imaging and multi-modality imaging for small animals, there is a need for new reconstruction methods for real animal-shape models with a large dataset. In this paper we are reporting a novel hybrid adaptive finite element algorithm for fluorescence tomography reconstruction, based on a linear scheme. Two different inversion strategies (Conjugate Gradient and Landweber iterations) are separately applied to the first mesh level and the succeeding levels. The new algorithm was validated by numerical simulations of a 3-D mouse atlas, based on the latest free-space setup of fluorescence tomography with 360° geometry projections. The reconstructed results suggest that we are able to achieve high computational efficiency and spatial resolution for models with irregular shape and inhomogeneous optical properties.

© 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
(170.5280) Medical optics and biotechnology : Photon migration
(170.6280) Medical optics and biotechnology : Spectroscopy, fluorescence and luminescence

ToC Category:
Medical Optics and Biotechnology

Original Manuscript: October 24, 2007
Revised Manuscript: December 3, 2007
Manuscript Accepted: December 17, 2007
Published: December 20, 2007

Virtual Issues
Vol. 3, Iss. 1 Virtual Journal for Biomedical Optics

Xiaolei Song, Daifa Wang, Nanguang Chen, Jing Bai, and Hongkai Wang, "Reconstruction for free-space fluorescence tomography using a novel hybrid adaptive finite element algorithm," Opt. Express 15, 18300-18317 (2007)

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