Abstract
Diffuse correlation spectroscopy (DCS) is an optical technique that can be used to characterize blood flow in tissue. The measurement of cerebral hemodynamics has arisen as a promising use case for DCS, though traditional implementations of DCS exhibit suboptimal signal-to-noise ratio (SNR) and cerebral sensitivity to make robust measurements of cerebral blood flow in adults. In this work, we present long wavelength, interferometric DCS (LW-iDCS), which combines the use of a longer illumination wavelength (1064 nm), multi-speckle, and interferometric detection, to improve both cerebral sensitivity and SNR. Through direct comparison with long wavelength DCS based on superconducting nanowire single photon detectors, we demonstrate an approximate 5× improvement in SNR over a single channel of LW-DCS in the measured blood flow signals in human subjects. We show equivalence of extracted blood flow between LW-DCS and LW-iDCS, and demonstrate the feasibility of LW-iDCS measured at 100 Hz at a source-detector separation of 3.5 cm. This improvement in performance has the potential to enable robust measurement of cerebral hemodynamics and unlock novel use cases for diffuse correlation spectroscopy.
Original language | English |
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Article number | 8803 |
Journal | Scientific Reports |
Volume | 13 |
Issue number | 1 |
DOIs | |
State | Published - 31 May 2023 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s).
Funding
Funding was provided by National Institute of Biomedical Imaging and Bioengineering (Grant Nos. T32EB001680, R01EB033202, U01EB028660, R21EB028626 (NIBIB), F31NS118753 (NINDS)).
Funders | Funder number |
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National Institute of Neurological Disorders and Stroke | |
National Institute of Biomedical Imaging and Bioengineering | R21EB028626, U01EB028660, T32EB001680, F31NS118753, R01EB033202 |