Literature DB >> 34847015

Diffuse Correlation Spectroscopy Beyond the Water Peak Enabled by Cross-Correlation of the Signals From InGaAs/InP Single Photon Detectors.

Mitchell B Robinson, Marco Renna, Nisan N Ozana, Adriano Peruch, Sava Sakadzic, Megan L Blackwell, Jonathan M Richardson, Brian F Aull, Stefan A Carp, Maria Angela Franceschini.   

Abstract

OBJECTIVE: Diffuse correlation spectroscopy (DCS) is an optical technique that allows for the non-invasive measurement of blood flow. Recent work has shown that utilizing longer wavelengths beyond the traditional NIR range provides a significant improvement to signal-to-noise ratio (SNR). However, current detectors both sensitive to longer wavelengths and suitable for clinical applications (InGaAs/InP SPADs) suffer from suboptimal afterpulsing and dark noise characteristics. To overcome these barriers, we introduce a cross correlation method to more accurately recover blood flow information using InGaAs/InP SPADs.
METHODS: Two InGaAs/InP SPAD detectors were used for during in vitro and in vivo DCS measurements. Cross correlation of the photon streams from each detector was performed to calculate the correlation function. Detector operating parameters were varied to determine parameters which maximized measurement SNR.State-space modeling was performed to determine the detector characteristics at each operating point.
RESULTS: Evaluation of detector characteristics was performed across the range of operating conditions. Modeling the effects of the detector noise on the correlation function provided a method to correct the distortion of the correlation curve, yielding accurate recovery of flow information as confirmed by a reference detector.
CONCLUSION: Through a combination of cross-correlation of the signals from two detectors, model-based characterization of detector response, and optimization of detector operating parameters, the method allows for the accurate estimation of the true blood flow index. SIGNIFICANCE: This work presents a method by which DCS can be performed at longer NIR wavelengths with existing detector technology, taking advantage of the increased SNR.

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Year:  2022        PMID: 34847015      PMCID: PMC9119938          DOI: 10.1109/TBME.2021.3131353

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.756


  24 in total

Review 1.  Clinical applications of near-infrared diffuse correlation spectroscopy and tomography for tissue blood flow monitoring and imaging.

Authors:  Yu Shang; Ting Li; Guoqiang Yu
Journal:  Physiol Meas       Date:  2017-02-15       Impact factor: 2.833

2.  Mapping breast cancer blood flow index, composition, and metabolism in a human subject using combined diffuse optical spectroscopic imaging and diffuse correlation spectroscopy.

Authors:  Hossein S Yazdi; Thomas D O'Sullivan; Anais Leproux; Brian Hill; Amanda Durkin; Seraphim Telep; Jesse Lam; Siavash S Yazdi; Alice M Police; Robert M Carroll; Freddie J Combs; Tomas Strömberg; Arjun G Yodh; Bruce J Tromberg
Journal:  J Biomed Opt       Date:  2017-04-01       Impact factor: 3.170

3.  Theoretical model of blood flow measurement by diffuse correlation spectroscopy.

Authors:  Sava Sakadžic; David A Boas; Stefan Carp
Journal:  J Biomed Opt       Date:  2017-02-01       Impact factor: 3.170

4.  Characterization of continuous wave ultrasound for acousto-optic modulated diffuse correlation spectroscopy (AOM-DCS).

Authors:  Mitchell B Robinson; Stefan A Carp; Adriano Peruch; David A Boas; Maria Angela Franceschini; Sava Sakadžić
Journal:  Biomed Opt Express       Date:  2020-05-14       Impact factor: 3.732

5.  Establishing the diffuse correlation spectroscopy signal relationship with blood flow.

Authors:  David A Boas; Sava Sakadžić; Juliette Selb; Parisa Farzam; Maria Angela Franceschini; Stefan A Carp
Journal:  Neurophotonics       Date:  2016-06-13       Impact factor: 3.593

6.  Beyond diffuse correlations: deciphering random flow in time-of-flight resolved light dynamics.

Authors:  V N Du Le; Vivek J Srinivasan
Journal:  Opt Express       Date:  2020-04-13       Impact factor: 3.894

7.  Portable System for Time-Domain Diffuse Correlation Spectroscopy.

Authors:  Davide Tamborini; Kimberly A Stephens; Melissa M Wu; Parya Farzam; Andrew M Siegel; Oleg Shatrovoy; Megan Blackwell; David A Boas; Stefan A Carp; Maria Angela Franceschini
Journal:  IEEE Trans Biomed Eng       Date:  2019-02-15       Impact factor: 4.538

8.  Detection of Brain Hypoxia Based on Noninvasive Optical Monitoring of Cerebral Blood Flow with Diffuse Correlation Spectroscopy.

Authors:  David R Busch; Ramani Balu; Wesley B Baker; Wensheng Guo; Lian He; Mamadou Diop; Daniel Milej; Venkaiah Kavuri; Olivia Amendolia; Keith St Lawrence; Arjun G Yodh; W Andrew Kofke
Journal:  Neurocrit Care       Date:  2019-02       Impact factor: 3.210

9.  Time-of-flight resolved light field fluctuations reveal deep human tissue physiology.

Authors:  Oybek Kholiqov; Wenjun Zhou; Tingwei Zhang; V N Du Le; Vivek J Srinivasan
Journal:  Nat Commun       Date:  2020-01-20       Impact factor: 14.919

10.  Interferometric diffuse correlation spectroscopy improves measurements at long source-detector separation and low photon count rate.

Authors:  Mitchell Robinson; David Boas; Sava Sakadžic; Maria Angela Franceschini; Stefan Carp
Journal:  J Biomed Opt       Date:  2020-09       Impact factor: 3.170

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  1 in total

1.  Influence of source-detector separation on diffuse correlation spectroscopy measurements of cerebral blood flow with a multilayered analytical model.

Authors:  Hongting Zhao; Erin M Buckley
Journal:  Neurophotonics       Date:  2022-07-20       Impact factor: 4.212

  1 in total

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