Differential pathlength factor estimation for brain-like tissue from a single-layer Monte Carlo model

Subhasri Chatterjee; Justin P Phillips; Panayiotis A Kyriacou

doi:10.1109/EMBC.2015.7319092

Differential pathlength factor estimation for brain-like tissue from a single-layer Monte Carlo model

Annu Int Conf IEEE Eng Med Biol Soc. 2015:2015:3279-82. doi: 10.1109/EMBC.2015.7319092.

Authors

Subhasri Chatterjee, Justin P Phillips, Panayiotis A Kyriacou

PMID: 26736992
DOI: 10.1109/EMBC.2015.7319092

Abstract

A Monte Carlo simulation-based computational model has been developed for tracing the pathway of light within a single layer of tissue like bloodless human brain. A reflectance mode source-detector geometry is assumed to illuminate the tissue slab with an irradiation of a near infrared wavelength and to detect the re-emitted light intensity. Light is considered to be attenuated within tissue by scattering and absorption. The model has been used to predict the relationship of mean optical path of photons with variable source-detector geometry and thus, to determine a differential pathlength factor (DPF) of 5.66 for incident light of wavelength 810 nm.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Brain / physiology*
Humans
Models, Theoretical*
Monte Carlo Method*
Optical Phenomena*
Photons