Literature DB >> 29905681

Time domain diffuse correlation spectroscopy: modeling the effects of laser coherence length and instrument response function.

Xiaojun Cheng, Davide Tamborini, Stefan A Carp, Oleg Shatrovoy, Bernhard Zimmerman, Danil Tyulmankov, Andrew Siegel, Megan Blackwell, Maria Angela Franceschini, David A Boas.   

Abstract

Diffuse correlation spectroscopy (DCS) is an optical technique that non-invasively quantifies an index of blood flow (BFi) by measuring the temporal autocorrelation function of the intensity fluctuations of light diffusely remitted from the tissue. Traditional DCS measurements use continuous wave (CW) lasers with coherence lengths longer than the photon path lengths in the sample to ensure that the diffusely remitted light is coherent and generates a speckle pattern. Recently, we proposed time domain DCS (TD-DCS) to allow measurements of the speckle fluctuations for specific path lengths of light through the tissue, which has the distinct advantage of permitting an analysis of selected long path lengths of light to improve the depth sensitivity of the measurement. However, compared to CW-DCS, factors including the instrument response function (IRF), the detection gate width, and the finite coherence length need to be considered in the model analysis of the experimental data. Here we present a TD-DCS model describing how the intensity autocorrelation functions measured for different path lengths of light depend on the coherence length, pulse width of the laser, detection gate width, IRF, BFi, and optical properties of the scattering sample. Predictions of the model are compared with experimental results using a homogeneous liquid phantom sample that mimics human tissue optical properties. The BFis obtained from the TD-DCS model for different path lengths of light agree with the BFi obtained from CW-DCS measurements, while the standard simplified model underestimates the BFi by a factor of ∼2. This Letter establishes the theoretical foundation of the TD-DCS technique and provides guidance for future BFi measurements in tissue.

Entities:  

Year:  2018        PMID: 29905681      PMCID: PMC6197052          DOI: 10.1364/OL.43.002756

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  13 in total

1.  Scattering and Imaging with Diffusing Temporal Field Correlations.

Authors: 
Journal:  Phys Rev Lett       Date:  1995-08-28       Impact factor: 9.161

2.  Time-gated optical system for depth-resolved functional brain imaging.

Authors:  Juliette Selb; Danny K Joseph; David A Boas
Journal:  J Biomed Opt       Date:  2006 Jul-Aug       Impact factor: 3.170

3.  Effects of finite laser coherence in quasielastic multiple scattering.

Authors: 
Journal:  Phys Rev A       Date:  1991-10-15       Impact factor: 3.140

4.  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

5.  Time-domain diffuse correlation spectroscopy.

Authors:  Jason Sutin; Bernhard Zimmerman; Danil Tyulmankov; Davide Tamborini; Kuan Cheng Wu; Juliette Selb; Angelo Gulinatti; Ivan Rech; Alberto Tosi; David A Boas; Maria Angela Franceschini
Journal:  Optica       Date:  2016-09-06       Impact factor: 11.104

6.  Combined multi-distance frequency domain and diffuse correlation spectroscopy system with simultaneous data acquisition and real-time analysis.

Authors:  Stefan A Carp; Parisa Farzam; Norin Redes; Dennis M Hueber; Maria Angela Franceschini
Journal:  Biomed Opt Express       Date:  2017-08-07       Impact factor: 3.732

7.  Time domain diffuse correlation spectroscopy with a high coherence pulsed source: in vivo and phantom results.

Authors:  M Pagliazzi; S Konugolu Venkata Sekar; L Colombo; E Martinenghi; J Minnema; R Erdmann; D Contini; A Dalla Mora; A Torricelli; A Pifferi; T Durduran
Journal:  Biomed Opt Express       Date:  2017-10-27       Impact factor: 3.732

8.  Diffuse correlation spectroscopy for measurement of cerebral blood flow: future prospects.

Authors:  Erin M Buckley; Ashwin B Parthasarathy; P Ellen Grant; Arjun G Yodh; Maria Angela Franceschini
Journal:  Neurophotonics       Date:  2014-06-20       Impact factor: 3.593

Review 9.  Diffuse correlation spectroscopy for non-invasive, micro-vascular cerebral blood flow measurement.

Authors:  Turgut Durduran; Arjun G Yodh
Journal:  Neuroimage       Date:  2013-06-14       Impact factor: 6.556

10.  Direct measurement of tissue blood flow and metabolism with diffuse optics.

Authors:  Rickson C Mesquita; Turgut Durduran; Guoqiang Yu; Erin M Buckley; Meeri N Kim; Chao Zhou; Regine Choe; Ulas Sunar; Arjun G Yodh
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-11-28       Impact factor: 4.019

View more
  7 in total

1.  Effects of the instrument response function and the gate width in time-domain diffuse correlation spectroscopy: model and validations.

Authors:  Lorenzo Colombo; Marco Pagliazzi; Sanathana Konugolu Venkata Sekar; Davide Contini; Alberto Dalla Mora; Lorenzo Spinelli; Alessandro Torricelli; Turgut Durduran; Antonio Pifferi
Journal:  Neurophotonics       Date:  2019-07-12       Impact factor: 3.593

2.  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

3.  First-in-clinical application of a time-gated diffuse correlation spectroscopy system at 1064 nm using superconducting nanowire single photon detectors in a neuro intensive care unit.

Authors:  Chien-Sing Poon; Dharminder S Langri; Benjamin Rinehart; Timothy M Rambo; Aaron J Miller; Brandon Foreman; Ulas Sunar
Journal:  Biomed Opt Express       Date:  2022-02-07       Impact factor: 3.732

4.  Time-domain diffuse correlation spectroscopy (TD-DCS) for noninvasive, depth-dependent blood flow quantification in human tissue in vivo.

Authors:  Saeed Samaei; Piotr Sawosz; Michał Kacprzak; Żanna Pastuszak; Dawid Borycki; Adam Liebert
Journal:  Sci Rep       Date:  2021-01-19       Impact factor: 4.379

5.  Development of a Monte Carlo-wave model to simulate time domain diffuse correlation spectroscopy measurements from first principles.

Authors:  Xiaojun Cheng; Hui Chen; Edbert J Sie; Francesco Marsili; David A Boas
Journal:  J Biomed Opt       Date:  2022-02       Impact factor: 3.758

6.  Functional Time Domain Diffuse Correlation Spectroscopy.

Authors:  Nisan Ozana; Niyom Lue; Marco Renna; Mitchell B Robinson; Alyssa Martin; Alexander I Zavriyev; Bryce Carr; Dibbyan Mazumder; Megan H Blackwell; Maria A Franceschini; Stefan A Carp
Journal:  Front Neurosci       Date:  2022-08-01       Impact factor: 5.152

7.  Contribution of speckle noise in near-infrared spectroscopy measurements.

Authors:  Antonio Ortega-Martinez; Bernhard Zimmermann; Xiaojun Cheng; Xinge Li; Meryem Ayşe Yucel; David A Boas
Journal:  J Biomed Opt       Date:  2019-10       Impact factor: 3.170

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.