| Literature DB >> 26977338 |
Rebecca Re1, Davide Contini1, Lucia Zucchelli1, Alessandro Torricelli1, Lorenzo Spinelli2.
Abstract
In order to study hemodynamic changes involved in muscular metabolism by means of time domain fNIRS, we need to discriminate in the measured signal contributions coming from different depths. Muscles are, in fact, typically located under other tissues, e.g. skin and fat. In this paper, we study the possibility to exploit a previously proposed method for analyzing time-resolved fNIRS measurements in a two-layer structure with a thin superficial layer. This method is based on the calculation of the time-dependent mean partial pathlengths. We validated it by simulating venous and arterial arm cuff occlusions and then applied it on in vivo measurements.Keywords: (170.1470) Blood or tissue constituent monitoring; (170.2655) Functional monitoring and imaging; (170.5280) Photon migration; (170.6920) Time-resolved imaging
Year: 2016 PMID: 26977338 PMCID: PMC4771447 DOI: 10.1364/BOE.7.000264
Source DB: PubMed Journal: Biomed Opt Express ISSN: 2156-7085 Impact factor: 3.732