Features and performance of a tomographic algorithm, based on a random walk model, for quantification of the optical characteristics of an abnormality embedded within tissue-like turbid media.

Victor Chernomordik; David Hattery; Amir H. Gandjbakhche; Antonio Pifferi; Paola Taroni; Alessandro Torricelli; Gianluca Valentini; Rinaldo Cubeddu; Jeremy C. Hebden

doi:10.1364/BIO.1999.AMB2

Biomedical Optics
OSA Technical Digest (Optica Publishing Group, 1999),
paper AMB2
•https://doi.org/10.1364/BIO.1999.AMB2

Features and performance of a tomographic algorithm, based on a random walk model, for quantification of the optical characteristics of an abnormality embedded within tissue-like turbid media.

Victor Chernomordik, David Hattery, Amir H. Gandjbakhche, Antonio Pifferi, Paola Taroni, Alessandro Torricelli, Gianluca Valentini, Rinaldo Cubeddu, and Jeremy C. Hebden

Biomedical Topical Meeting 1999

Munich Germany
ISBN: 1-55752-584-6

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V. Chernomordik, D. Hattery, A. H. Gandjbakhche, A. Pifferi, P. Taroni, A. Torricelli, G. Valentini, R. Cubeddu, and J. C. Hebden, "Features and performance of a tomographic algorithm, based on a random walk model, for quantification of the optical characteristics of an abnormality embedded within tissue-like turbid media.," in Biomedical Optics, OSA Technical Digest (Optica Publishing Group, 1999), paper AMB2.

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Abstract

Quantification of the optical characteristics and size of a small, weakly abnormal inclusion embedded in thick, highly scattering tissue is one of the most challenging tasks in Biomedical Imaging.

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