ArticleJournal of biomedical optics2020
Interferometric diffuse correlation spectroscopy improves measurements at long source-detector separation and low photon count rate.
Article in Journal of biomedical optics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 36 citations in OpenAlex.
- Compact FPGA-based software correlator for real-time blood flow measurement with diffuse correlation spectroscopy.Biomedical optics express · 2026Article
- Monte Carlo simulations of time-resolved blood flow index: times-of-flight beyond ∼1 ns are necessary for brain-dominated measurements.Neurophotonics · 2026Article
- Comparative validation of speckle contrast optical spectroscopy against diffuse correlation spectroscopy for monitoring human cerebral blood flow.Neurophotonics · 2026Article
- Highly parallel, 1060 nm interferometric diffusing wave spectroscopy with a time-of-flight filter.Biomedical optics express · 2026Article
- Noninvasive estimation of superficial layer thickness using multi-channel diffuse correlation spectroscopy.Biomedical optics express · 2025Article
- Mapping human cerebral blood flow with high-density, multi-channel speckle contrast optical spectroscopy.Communications biology · 2025Article
- Comparison of diffuse correlation spectroscopy, interferometric diffusing wave spectroscopy, and speckle contrast optical spectroscopy for blood flow monitoring.Neurophotonics · 2025Article
- Study of Time-Resolved Dynamics in Turbid Medium Using a Single-Cavity Dual-Comb Laser.ACS photonics · 2024Article
- Comprehensive workflow and its validation for simulating diffuse speckle statistics for optical blood flow measurements.Biomedical optics express · 2024Article
- Validation of the Openwater wearable optical system: cerebral hemodynamic monitoring during a breath-hold maneuver.Neurophotonics · 2024Article
- Diffuse Correlation Spectroscopy: A Review of Recent Advances in Parallelisation and Depth Discrimination Techniques.Sensors (Basel, Switzerland) · 2023Review
- Article
- Assessing depth sensitivity in laser interferometry speckle visibility spectroscopy (iSVS) through source-to-detector distance variation and cerebral blood flow monitoring in humans and rabbits.Biomedical optics express · 2023Article
- Non-invasive diffuse optical monitoring of cerebral physiology in an adult swine-model of impact traumatic brain injury.Biomedical optics express · 2023Article
- Portable, high speed blood flow measurements enabled by long wavelength, interferometric diffuse correlation spectroscopy (LW-iDCS).Scientific reports · 2023Article
- Optimizing a two-layer method for hybrid diffuse correlation spectroscopy and frequency-domain diffuse optical spectroscopy cerebral measurements in adults.Neurophotonics · 2023Article
- Influence of oversimplifying the head anatomy on cerebral blood flow measurements with diffuse correlation spectroscopy.Neurophotonics · 2023Article
- Interferometric diffuse optics: recent advances and future outlook.Neurophotonics · 2023Article
- Diffuse correlation spectroscopy: current status and future outlook.Neurophotonics · 2023Article
- Optical imaging and spectroscopy for the study of the human brain: status report.Neurophotonics · 2022Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
significanceThe use of diffuse correlation spectroscopy (DCS) has shown efficacy in research studies as a technique capable of noninvasively monitoring blood flow in tissue with applications in neuromonitoring, exercise science, and breast cancer management. The ability of DCS to resolve blood flow in these tissues is related to the optical sensitivity and signal-to-noise ratio (SNR) of the measurements, which in some cases, particularly adult cerebral blood flow measurements, is inadequate in a significant portion of the population. Improvements to DCS sensitivity and SNR could allow for greater clinical translation of this technique.
aimInterferometric diffuse correlation spectroscopy (iDCS) was characterized and compared to traditional homodyne DCS to determine possible benefits of utilizing heterodyne detection. APPROACH: An iDCS system was constructed by modifying a homodyne DCS system with fused fiber couplers to create a Mach-Zehnder interferometer. Comparisons between homodyne and heterodyne detection were performed using an intralipid phantom characterized at two extended source-detector separations (2.4, 3.6 cm), different photon count rates, and a range of reference arm power levels. Characterization of the iDCS signal mixing was compared to theory. Precision of the estimation of the diffusion coefficient and SNR of the autocorrelation curve were compared between different measurement conditions that mimicked what would be seen in vivo.
resultsThe mixture of signals present in the heterodyne autocorrelation function was found to agree with the derived theory and resulted in accurate measurement of the diffusion coefficient of the phantom. Improvement of the SNR of the autocorrelation curve up to ∼2 × and up to 80% reduction in the variability of the diffusion coefficient fit were observed for all measurement cases as a function of increased reference arm power.
conclusionsiDCS has the potential to improve characterization of blood flow in tissue at extended source-detector separations, enhancing depth sensitivity and SNR.
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