ArticleScientific reports2021
Time-domain diffuse correlation spectroscopy (TD-DCS) for noninvasive, depth-dependent blood flow quantification in human tissue in vivo.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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42 citing papers in PubMed, 56 citations in OpenAlex.
- Trial
- Depth-sensitive cerebral blood flow and low-frequency oscillations for consciousness assessment using time-domain diffuse correlation spectroscopy.Neurophotonics · 2026Article
- Characterization of a fiber-coupled SPAD camera system for deep-tissue blood-flow measurement using 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
- Depth-sensitive assessment of cerebral blood flow and low-frequency oscillations after traumatic brain injury in mice using time-domain diffuse correlation spectroscopy.Neurophotonics · 2026Article
- Noninvasive estimation of superficial layer thickness using multi-channel diffuse correlation spectroscopy.Biomedical optics express · 2025Article
- Approaches for modelling autocorrelation function and data processing in time-domain diffuse correlation spectroscopy.Biomedical optics express · 2025Article
- Comparison of diffuse correlation spectroscopy analytical models for cerebral blood flow measurements.Journal of biomedical optics · 2025Article
- Cerebral blood flow monitoring using a deep learning implementation of the two-layer diffuse correlation spectroscopy analytical model with a 512 × 512 SPAD array.Neurophotonics · 2025Article
- Recent Progress in Blood Flow Sensing.Sensors and actuators. A, Physical · 2025Article
- Time-Resolved Laser Speckle Contrast Imaging (TR-LSCI) of Cerebral Blood Flow.IEEE transactions on medical imaging · 2025Article
- Acoustomotive diffuse correlation spectroscopy for sensing mechanical stiffness in tissue-mimicking phantoms.Biomedical optics express · 2024Article
- Time-domain diffuse correlation spectroscopy at large source detector separation for cerebral blood flow recovery.Biomedical optics express · 2024Article
- Measuring pulsatile cortical blood flow and volume during carotid endarterectomy.Biomedical optics express · 2024Article
- Validation of the Openwater wearable optical system: cerebral hemodynamic monitoring during a breath-hold maneuver.Neurophotonics · 2024Article
- Decoding diffuse light scattering dynamics in layered tissues: path length versus fluctuation time scale.Optics letters · 2023Article
- Recovering fetal signals transabdominally through interferometric near-infrared spectroscopy (iNIRS).Biomedical optics express · 2023Article
- Article
- Fast time-domain diffuse correlation spectroscopy with superconducting nanowire single-photon detector: system validation and in vivo results.Scientific reports · 2023Article
- Non-invasive diffuse optical monitoring of cerebral physiology in an adult swine-model of impact traumatic brain injury.Biomedical optics express · 2023Article
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Authors and funding
6 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Monitoring of human tissue hemodynamics is invaluable in clinics as the proper blood flow regulates cellular-level metabolism. Time-domain diffuse correlation spectroscopy (TD-DCS) enables noninvasive blood flow measurements by analyzing temporal intensity fluctuations of the scattered light. With time-of-flight (TOF) resolution, TD-DCS should decompose the blood flow at different sample depths. For example, in the human head, it allows us to distinguish blood flows in the scalp, skull, or cortex. However, the tissues are typically polydisperse. So photons with a similar TOF can be scattered from structures that move at different speeds. Here, we introduce a novel approach that takes this problem into account and allows us to quantify the TOF-resolved blood flow of human tissue accurately. We apply this approach to monitor the blood flow index in the human forearm in vivo during the cuff occlusion challenge. We detect depth-dependent reactive hyperemia. Finally, we applied a controllable pressure to the human forehead in vivo to demonstrate that our approach can separate superficial from the deep blood flow. Our results can be beneficial for neuroimaging sensing applications that require short interoptode separation.
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