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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

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Multi-speckle diffuse correlation spectroscopy to measure cerebral blood flow.

K Murali¹, Hari M Varma¹

¹Department of Biosciences and Bioengineering, Indian Institute of Technology - Bombay (IITB), India.

Biomedical Optics Express

|December 7, 2020

Summary

A new multi-speckle diffuse correlation spectroscopy (DCS) system uses a low frame rate camera and the multi-step volterra integral method (MVIM) to measure cerebral blood flow. This approach validates against standard DCS, offering a novel method for brain blood flow assessment.

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Area of Science:

Biomedical Optics
Neuroscience
Medical Imaging

Background:

Cerebral blood flow (CBF) is critical for brain function and health.
Diffuse Correlation Spectroscopy (DCS) is a non-invasive technique for measuring CBF.
Standard DCS often requires high frame rate cameras, limiting accessibility.

Purpose of the Study:

To introduce a novel multi-speckle diffuse correlation spectroscopy (DCS) system for measuring cerebral blood flow.
To utilize a low frame rate camera with the multi-step volterra integral method (MVIM) for DCS measurements.
To validate the performance of the new DCS system against established methods.

Main Methods:

Development of a multi-speckle DCS system.
Implementation of the multi-step volterra integral method (MVIM) for intensity auto-correlation analysis.
Acquisition of DCS data from healthy adult human brains using a low frame rate camera.
Comparison of CBF measurements with a standard DCS system.

Main Results:

The multi-speckle DCS system successfully measured cerebral blood flow in healthy adults.
The MVIM enabled accurate auto-correlation analysis with a low frame rate camera.
Results obtained from the novel system showed good agreement with standard DCS measurements.

Conclusions:

The presented multi-speckle DCS system with MVIM offers a viable alternative for measuring cerebral blood flow.
This method allows for CBF assessment using more accessible low frame rate cameras.
The findings support the potential of this technique for broader clinical and research applications.