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Proceedings Paper

Three-dimensional Bayesian optical diffusion tomography: source-detector calibration
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Paper Abstract

Optical diffusion tomography is a new imaging modality that offers significant potential in medical applications. The resulting nonlinear image reconstruction problem is further complicated by the fact that for practical imaging variable source excitation and detector coupling needs to be accounted for in order to obtain quantitative images. We formulated the joint problem of coupling coefficient estimation and three-dimensional image reconstruction in a Bayesian framework, and the resulting estimates are computed in an iterative coordinate-descent optimization scheme. Simulations show that this approach is an accurate and efficient method for simultaneous reconstruction of absorption and diffusion coefficients, as well as the coupling coefficients.

Paper Details

Date Published: 1 May 2002
PDF: 9 pages
Proc. SPIE 4613, Optical Biopsy IV, (1 May 2002); doi: 10.1117/12.465243
Show Author Affiliations
Seungseok Oh, Purdue Univ. (United States)
Adam B. Milstein, Purdue Univ. (United States)
Kevin J. Webb, Purdue Univ. (United States)
Charles A. Bouman, Purdue Univ. (United States)
Rick P. Millane, Univ. of Canterbury (New Zealand)


Published in SPIE Proceedings Vol. 4613:
Optical Biopsy IV
Robert R. Alfano, Editor(s)

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