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Noninvasive estimation of superficial layer thickness using multi-channel diffuse correlation spectroscopy.

Saeed Samaei1,2, Daniel Milej1,2, Keith St Lawrence1,2

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This study presents a new method using three-channel diffuse correlation spectroscopy (DCS) to accurately measure superficial layer thickness and cerebral blood flow, improving noninvasive monitoring.

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Physiological Monitoring

Background:

  • Diffuse correlation spectroscopy (DCS) offers noninvasive monitoring of cerebral blood flow.
  • Extracerebral tissue layers can interfere with DCS sensitivity to brain tissue.
  • Accurate layered-model analysis requires precise superficial layer properties.

Purpose of the Study:

  • To develop and validate a method for quantifying superficial blood flow dynamics and thickness using three-channel DCS.
  • To improve the accuracy of cerebral perfusion measurements in the presence of superficial layers.

Main Methods:

  • Utilized three-channel DCS measurements.
  • Employed simulations and layered phantom experiments for validation.
  • Adjusted photon count rates at short source-detector separations.

Main Results:

  • Demonstrated accurate quantification of superficial-layer blood flow index.
  • Successfully estimated superficial-layer thickness.
  • Enabled estimation of the lower-layer blood flow index using DCS data.

Conclusions:

  • The novel three-channel DCS method effectively quantifies superficial layer properties and underlying cerebral blood flow.
  • This approach enhances the accuracy and reliability of noninvasive cerebral blood flow monitoring.