Open Access
9 January 2014 Comparison of a layered slab and an atlas head model for Monte Carlo fitting of time-domain near-infrared spectroscopy data of the adult head
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Abstract
Near-infrared spectroscopy (NIRS) estimations of the adult brain baseline optical properties based on a homogeneous model of the head are known to introduce significant contamination from extracerebral layers. More complex models have been proposed and occasionally applied to in vivo data, but their performances have never been characterized on realistic head structures. Here we implement a flexible fitting routine of time-domain NIRS data using graphics processing unit based Monte Carlo simulations. We compare the results for two different geometries: a two-layer slab with variable thickness of the first layer and a template atlas head registered to the subject’s head surface. We characterize the performance of the Monte Carlo approaches for fitting the optical properties from simulated time-resolved data of the adult head. We show that both geometries provide better results than the commonly used homogeneous model, and we quantify the improvement in terms of accuracy, linearity, and cross-talk from extracerebral layers.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Juliette J. Selb, Tyler M. Ogden, Jay Dubb, Qianqian Fang, and David A. Boas "Comparison of a layered slab and an atlas head model for Monte Carlo fitting of time-domain near-infrared spectroscopy data of the adult head," Journal of Biomedical Optics 19(1), 016010 (9 January 2014). https://doi.org/10.1117/1.JBO.19.1.016010
Published: 9 January 2014
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CITATIONS
Cited by 52 scholarly publications and 4 patents.
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KEYWORDS
Monte Carlo methods

Head

Absorption

Brain

Data modeling

Scattering

Near infrared spectroscopy

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