Three-dimensional optical diffusion tomography using iterative coordinate descent optimization

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

doi:10.1117/12.447409

2 November 2001 Three-dimensional optical diffusion tomography using iterative coordinate descent optimization

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

Author Affiliations +

Proceedings Volume 4431, Photon Migration, Optical Coherence Tomography, and Microscopy; (2001) https://doi.org/10.1117/12.447409
Event: European Conferences on Biomedical Optics, 2001, Munich, Germany

Abstract

We demonstrate accurate and efficient three-dimensional optical diffusion imaging using simulated noisy data from a set of measurements at a single modulation frequency. A Bayesian framework provides for prior model conditioning, and a dual-step cost function optimization allows sequential estimation of the data noise variance and the image.

Citation Download Citation

Adam B. Milstein, Seungseok Oh, Kevin J. Webb, Charles A. Bouman, and Rick P. Millane "Three-dimensional optical diffusion tomography using iterative coordinate descent optimization", Proc. SPIE 4431, Photon Migration, Optical Coherence Tomography, and Microscopy, (2 November 2001); https://doi.org/10.1117/12.447409

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