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Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants
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Time-domain diffuse correlation spectroscopy at large source detector separation for cerebral blood flow recovery
Neda Mogharari1, Stanisław Wojtkiewicz1, Dawid Borycki2
1Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Poland.
Biomedical Optics Express
|July 18, 2024
Summary
Time-domain diffuse correlation spectroscopy (td-DCS) improves depth discrimination for tissue blood flow recovery. Increasing source-detector separation enhances sensitivity for deeper tissue layer measurements.
Area of Science:
- Biomedical Optics
- Physiological Measurement
- Medical Imaging
Background:
- Time-domain diffuse correlation spectroscopy (td-DCS) measures blood flow by analyzing photon time-of-flight (TOF) distributions.
- Accurate blood flow recovery in td-DCS is influenced by instrument response function (IRF), TOF gating, and source-detector separation (SDS).
Purpose of the Study:
- To evaluate the performance of td-DCS for cerebral blood flow (CBF) recovery at varying SDSs (1.5, 2, and 2.5 cm).
- To optimize TOF gating parameters and assess SDS sensitivity for superficial and deep tissue layers.
Main Methods:
- Phantom experiments were conducted to characterize the td-DCS system.
- Quality metrics (coefficient of variation, contrast-to-noise ratios) identified optimal TOF gates.
- Sensitivity metrics evaluated SDS performance for different tissue depths.
- td-DCS was tested on healthy volunteers during physiological challenges (cuff occlusion, breathing tasks).
Main Results:
- Phantom studies demonstrated that increasing SDS from 1.5 cm to 2.5 cm more than doubles sensitivity for estimating perfusion in a 1.5 cm deep tissue layer.
- Optimal TOF gates were identified for extracting particle dynamics.
Conclusions:
- td-DCS performance in blood flow recovery is significantly affected by SDS.
- Increased SDS enhances the ability of td-DCS to probe deeper tissue layers, improving CBF estimation accuracy.

