Subdiffusion reflectance spectroscopy to measure tissue ultrastructure and microvasculature: Model and inverse algorithm

Andrew J. Radosevich*, Adam Eshein, The Quyen Nguyen, Vadim Backman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

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 ex-vivo rat tissue samples measured by enhanced backscattering spectroscopy.

Original languageEnglish (US)
Article number097002
JournalJournal of Biomedical Optics
Volume20
Issue number9
DOIs
StatePublished - Sep 1 2015

Keywords

  • coherent backscattering
  • elastic light scattering
  • enhanced backscattering
  • inverse scattering
  • optical properties
  • spectroscopy
  • tissue characterization

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

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