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Proceedings Paper

Imaging fluorescence parameters by Bayesian optical diffusion tomography
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Paper Abstract

A Bayesian optimization scheme is presented for reconstructing fluorescent yield and lifetime, the absorption coefficient, and the scattering coefficient in turbid media, such as biological tissue. The method utilizes measurements at both the excitation and emission wavelengths for reconstructing all unknown parameters. The effectiveness of the reconstruction algorithm is demonstrated by simulation and by application to experimental data from a tissue phantom containing a fluorescent agent.

Paper Details

Date Published: 23 December 2002
PDF: 10 pages
Proc. SPIE 4792, Image Reconstruction from Incomplete Data II, (23 December 2002); doi: 10.1117/12.451799
Show Author Affiliations
Rick P. Millane, Univ. of Canterbury (New Zealand)
Adam M. Milstein, Purdue Univ. (United States)
Quan Zhang, Harvard Medical School (United States)
Seungseok Oh, Purdue Univ. (United States)
Kevin J. Webb, Purdue Univ. (United States)
Charles A. Bouman, Purdue Univ. (United States)
David A. Boas, Harvard Medical School (United States)

Published in SPIE Proceedings Vol. 4792:
Image Reconstruction from Incomplete Data II
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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