Work

A predictive model of backscattering at subdiffusion length scales

Year: 2010

Type: article

Abstract: We provide a methodology for accurately predicting elastic backscattering radial distributions from random media with two simple empirical models. We apply these models to predict the backscattering based on two classes of scattering phase functions: the Henyey-Greenstein phase function and a generalized two parameter phase function that is derived from the Whittle-Matérn correlation function. We demonstrate that the model has excellent agreement over all length scales and has less than 1% error for backscattering at subdiffusion length scales for tissue-relevant optical properties. The presented model is the first available approach for accurately predicting backscattering at length scales significantly smaller than the transport mean free path.

Source: Biomedical Optics Express

DOI: 10.1364/boe.1.001034

Authors: Vladimir Turzhitsky, Andrew Radosevich, Jeremy D. Rogers, Allen Taflove, Vadim Backman

Institution: Northwestern University

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering

Awards: Optically Monitoring Colon Microcirculation in Precancer, Mechanisms of Light Scattering in Living Tissue, Novel Biophotonics Methodology for Colon Cancer Screening, Spectroscopy of blood supply changes in early precancer