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Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics
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Depth selective acousto-optic flow measurement.

Adi Tsalach1, Zeev Schiffer1, Eliahu Ratner1

  • 1Ornim Medical Ltd, 15 Atir Yeda st. Kfar Saba, 4464312, Israel.

Biomedical Optics Express
|December 30, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a novel optical method using spectral analysis of ultrasonically tagged light to accurately measure cerebral blood flow. The technique effectively differentiates flow at various depths, overcoming limitations of existing methods by eliminating extra-cerebral tissue contamination.

Keywords:
(170.1065) Acousto-optics(170.1470) Blood or tissue constituent monitoring(170.3660) Light propagation in tissues(170.4090) Modulation techniques(170.7170) Ultrasound(280.2490) Flow diagnostics

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Fluid Dynamics

Background:

  • Non-invasive optical methods for regional blood flow assessment often yield inaccurate cerebral blood flow (CBF) measurements.
  • Signal contamination from extra-cerebral tissues is a significant limitation in current optical techniques.

Purpose of the Study:

  • To develop and validate a method for accurate, depth-resolved non-invasive measurement of cerebral blood flow.
  • To overcome signal contamination from superficial tissues using advanced optical signal processing.

Main Methods:

  • Spectral analysis of phase-coded light signals.
  • Ultrasound tagging of light to differentiate flow at varying depths.
  • Monte Carlo simulations for model validation.
  • In-vitro experimental validation.

Main Results:

  • The proposed method successfully differentiates blood flow patterns at different depths.
  • In-vitro experiments showed strong agreement with Monte Carlo simulations.
  • Demonstrated ability to discriminate flow based on tissue depth.

Conclusions:

  • Spectral analysis of ultrasonically tagged light can accurately measure regional cerebral blood flow.
  • This technique effectively eliminates signal contamination from extra-cerebral tissues.
  • Offers a promising advancement for non-invasive CBF monitoring.