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Dataset Information

Comparison of diffuse correlation spectroscopy analytical models for cerebral blood flow measurements.


ABSTRACT:

Significance

Although multi-layer diffuse correlation spectroscopy (DCS) analytical models have been proposed to reduce contamination from superficial signals when probing cerebral blood flow index (CBFi), a comprehensive comparison and clear guidance for model selection remain lacking. This report aims to address this gap.

Aim

We aim to systematically compare three DCS analytical models: the semi-infinite, two-layer, and three-layer models, with a focus on their fundamental differences, data processing approaches, and the accuracy and reliability of CBFi estimation. We also provide practical recommendations for selecting the most appropriate model based on specific application scenarios to support researchers in applying DCS effectively.

Approach

Experimental data we

SUBMITTER: Pan M 

PROVIDER: S-EPMC12617376 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature