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Milstein AB, Oh S, Reynolds JS, et al. Three-dimensional Bayesian optical diffusion tomography with experimental data. Opt Lett. 2002;27(2):95-7doi: 10.1364/ol.27.000095.
Milstein, A. B., Oh, S., Reynolds, J. S., Webb, K. J., Bouman, C. A., & Millane, R. P. (2002). Three-dimensional Bayesian optical diffusion tomography with experimental data. Optics letters, 27(2), 95-7. https://doi.org/10.1364/ol.27.000095
Milstein, Adam B, et al. "Three-dimensional Bayesian optical diffusion tomography with experimental data." Optics letters vol. 27,2 (2002): 95-7. doi: https://doi.org/10.1364/ol.27.000095
Milstein AB, Oh S, Reynolds JS, Webb KJ, Bouman CA, Millane RP. Three-dimensional Bayesian optical diffusion tomography with experimental data. Opt Lett. 2002 Jan 15;27(2):95-7. doi: 10.1364/ol.27.000095. PMID: 18007723.
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Opt Lett. 2002 Jan 15;27(2):95-7. doi: 10.1364/ol.27.000095.

Three-dimensional Bayesian optical diffusion tomography with experimental data.

Optics letters

Adam B Milstein, Seungseok Oh, Jeffery S Reynolds, Kevin J Webb, Charles A Bouman, Rick P Millane

PMID: 18007723 DOI: 10.1364/ol.27.000095

Abstract

Reconstructions of a three-dimensional absorber embedded in a scattering medium by use of frequency domain measurements of the transmitted light in a single source-detector plane are presented. The reconstruction algorithm uses Bayesian regularization and iterative coordinate descent optimization, and it incorporates estimation of the detector noise level, the source-detector coupling coefficient, and the background diffusion coefficient in addition to the absorption image. The use of multiple modulation frequencies is also investigated. The results demonstrate the utility of this algorithm, the importance of a three-dimensional model, and that out-of-plane scattering permits recovery of three-dimensional features from measurements in a single plane.

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