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

Seungseok Oh; Adam B. Milstein; Kevin J. Webb; Charles A. Bouman; Rick P. Millane

doi:10.1117/12.465243

1 May 2002 Three-dimensional Bayesian optical diffusion tomography: source-detector calibration

Seungseok Oh, Adam B. Milstein, Kevin J. Webb, Charles A. Bouman, Rick P. Millane

Proceedings Volume 4613, Optical Biopsy IV; (2002) https://doi.org/10.1117/12.465243
Event: International Symposium on Biomedical Optics, 2002, San Jose, CA, United States

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.

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Seungseok Oh, Adam B. Milstein, Kevin J. Webb, Charles A. Bouman, and Rick P. Millane "Three-dimensional Bayesian optical diffusion tomography: source-detector calibration", Proc. SPIE 4613, Optical Biopsy IV, (1 May 2002); https://doi.org/10.1117/12.465243

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KEYWORDS

Sensors

Diffusion

Absorption

Calibration

Reconstruction algorithms

Image analysis

Optical tomography

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