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Journal of Biomedical Optics • Open Access

Subdiffusion reflectance spectroscopy to measure tissue ultrastructure and microvasculature: model and inverse algorithm
Author(s): Andrew J. Radosevich; Adam Eshein; The-Quyen Nguyen; Vadim Backman

Paper Abstract

Reflectance measurements acquired from within the subdiffusion regime (i.e., lengthscales smaller than a transport mean free path) retain much of the original information about the shape of the scattering phase function. Given this sensitivity, many models of subdiffusion regime light propagation have focused on parametrizing the optical signal through various optical and empirical parameters. We argue, however, that a more useful and universal way to characterize such measurements is to focus instead on the fundamental physical properties, which give rise to the optical signal. This work presents the methodologies that used to model and extract tissue ultrastructural and microvascular properties from spatially resolved subdiffusion reflectance spectroscopy measurements. We demonstrate this approach using <italic<ex-vivo</italic< rat tissue samples measured by enhanced backscattering spectroscopy.

Paper Details

Date Published: 28 September 2015
PDF: 15 pages
J. Biomed. Opt. 20(9) 097002 doi: 10.1117/1.JBO.20.9.097002
Published in: Journal of Biomedical Optics Volume 20, Issue 9
Show Author Affiliations
Andrew J. Radosevich, Northwestern Univ. (United States)
Adam Eshein, Northwestern Univ. (United States)
The-Quyen Nguyen, Northwestern Univ. (United States)
Vadim Backman, Northwestern Univ. (United States)


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