Functional dual-slope frequency-domain near-infrared spectroscopy data interpreted with two- and three-layer models.

A three-layer model is a viable improvement over a homogeneous model to analyze DS FD-NIRS data (or any other fNIRS data) to generate more accurate measurements of cerebral hemodynamic changes without a need for large data sets for tomographic reconstructions.

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Publication Details

Journal
PubMed
Published
2025-12-22
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
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article

Functional dual-slope frequency-domain near-infrared spectroscopy data interpreted with two- and three-layer models.

PubMed
Optical Imaging and Spectroscopy Techniques
article

Functional dual-slope frequency-domain near-infrared spectroscopy data interpreted with two- and three-layer models.

article en

Abstract

A three-layer model is a viable improvement over a homogeneous model to analyze DS FD-NIRS data (or any other fNIRS data) to generate more accurate measurements of cerebral hemodynamic changes without a need for large data sets for tomographic reconstructions.

PubMed
Tufts University (US)
Openalex Percentile: Top 32%
Optical Imaging and Spectroscopy Techniques
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Functional dual-slope frequency-domain near-infrared spectroscopy data interpreted with two- and three-layer models. · PubMed (2025) | TGRS Research Map | TGRS