ArticleIEEE access : practical innovations, open solutions2019
Diffuse Correlation Spectroscopy Analysis Implemented on a Field Programmable Gate Array.
Article in IEEE access : practical innovations, open solutions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Compact FPGA-based software correlator for real-time blood flow measurement with diffuse correlation spectroscopy.Biomedical optics express · 2026Article
- Beneath the surface: revealing deep-tissue blood flow in human subjects with massively parallelized diffuse correlation spectroscopy.Neurophotonics · 2025Article
- A Device-on-Chip Solution for Real-Time Diffuse Correlation Spectroscopy Using FPGA.Biosensors · 2024Article
- DCS blood flow index underestimates skeletal muscle perfusionJournal of biomedical optics · 2024Article
- Epinephrine iontophoresis attenuates changes in skin blood flow and abolishes cutaneous contamination of near-infrared diffuse correlation spectroscopy estimations of muscle perfusion.American journal of physiology. Regulatory, integrative and comparative physiology · 2023Article
- FPGA Correlator for Applications in Embedded Smart Devices.Biosensors · 2022Article
- Lossless Compressed Sensing of Photon Counts for Fast Diffuse Correlation Spectroscopy.IEEE access : practical innovations, open solutions · 2022Article
- Fast diffuse correlation spectroscopy with a low-cost, fiber-less embedded diode laser.Biomedical optics express · 2021Article
- Impact of changes in tissue optical properties on near-infrared diffuse correlation spectroscopy measures of skeletal muscle blood flow.Journal of applied physiology (Bethesda, Md. : 1985) · 2021Article
- Towards rapid intraoperative axial localization of spinal cord ischemia with epidural diffuse correlation monitoring.PloS one · 2021Article
- Multi-Site Optical Monitoring of Spinal Cord Ischemia during Spine Distraction.Journal of neurotrauma · 2020Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Diffusive correlation spectroscopy (DCS) is an emerging optical technique that measures blood perfusion in deep tissue. In a DCS measurement, temporal changes in the interference pattern of light, which has passed through tissue, are quantified by an autocorrelation function. This autocorrelation function is further parameterized through a non-linear curve fit to a solution to the diffusion equation for coherence transport. The computational load for this non-linear curve fitting is a barrier for deployment of DCS for clinical use, where real-time results, as well as instrument size and simplicity, are important considerations. We have mitigated this computational bottleneck through development of a hardware analyzer for DCS. This analyzer implements the DCS curving fitting algorithm on digital logic circuit using Field Programmable Gate Array (FPGA) technology. The FPGA analyzer is more efficient than a typical software analysis solution. The analyzer module can be easily duplicated for processing multiple channels of DCS data in real-time. We have demonstrated the utility of this analyzer in pre-clinical large animal studies of spinal cord ischemia. In combination with previously described FPGA implementations of auto-correlators, this hardware analyzer can provide a complete device-on-a-chip solution for DCS signal processing. Such a component will enable new DCS applications demanding mobility and real-time processing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.