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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 8, Iss. 9 — Oct. 2, 2013

Image reconstruction of fluorescent molecular tomography based on the simplified matrix system

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

JOSA A, Vol. 30, Issue 8, pp. 1464-1475 (2013)

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Fluorescent molecular tomographic image reconstruction usually involves repeatedly solving large-scale matrix equations, which are computationally expensive. In this paper, a method is proposed to reduce the scale of the matrix system. The Jacobian matrix is simplified by deleting the columns or the rows whose values are smaller than a threshold. Furthermore, the measurement data are divided into two groups and are used for iteration of image reconstruction in turn. The simplified system is then solved in the wavelet domain to further accelerate the process of solving the inverse problem. Simulation results demonstrate that the proposed method can significantly speed up the reconstruction process.

© 2013 Optical Society of America

OCIS Codes
(100.3190) Image processing : Inverse problems
(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
(260.2510) Physical optics : Fluorescence

ToC Category:
Medical Optics and Biotechnology

Original Manuscript: February 19, 2013
Revised Manuscript: June 6, 2013
Manuscript Accepted: June 10, 2013
Published: July 3, 2013

Virtual Issues
Vol. 8, Iss. 9 Virtual Journal for Biomedical Optics

Wei Zou, Jiajun Wang, and David Dagan Feng, "Image reconstruction of fluorescent molecular tomography based on the simplified matrix system," J. Opt. Soc. Am. A 30, 1464-1475 (2013)

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