Literature DB >> 27627357

Velocity gradients in spatially resolved laser Doppler flowmetry and dynamic light scattering with confocal and coherence gating.

Néstor Uribe-Patarroyo1, Brett E Bouma2.   

Abstract

Dynamic light scattering (DLS) is widely used to characterize diffusive motion to obtain precise information on colloidal suspensions by calculating the autocorrelation function of the signal from a heterodyne optical system. DLS can also be used to determine the flow velocity field in systems that exhibit mass transport by incorporating the effects of the deterministic motion of scatterers on the autocorrelation function, a technique commonly known as laser Doppler flowmetry. DLS measurements can be localized with confocal and coherence gating techniques such as confocal microscopy and optical coherence tomography, thereby enabling the determination of the spatially resolved velocity field in three dimensions. It has been thought that spatially resolved DLS can determine the axial velocity as well as the lateral speed in a single measurement. We demonstrate, however, that gradients in the axial velocity of scatterers exert a fundamental influence on the autocorrelation function even in well-behaved, nonturbulent flow. By obtaining the explicit functional relation between axial-velocity gradients and the autocorrelation function, we show that the velocity field and its derivatives are intimately related and their contributions cannot be separated. Therefore, a single DLS measurement cannot univocally determine the velocity field. Our extended theoretical model was found to be in good agreement with experimental measurements.

Entities:  

Year:  2016        PMID: 27627357      PMCID: PMC5059111          DOI: 10.1103/PhysRevE.94.022604

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  26 in total

1.  Functional imaging of the retinal microvasculature by scanning laser Doppler flowmetry.

Authors:  G Michelson; J Welzenbach; I Pal; J Harazny
Journal:  Int Ophthalmol       Date:  2001       Impact factor: 2.031

2.  Reproducibility of the Heidelberg retinal flowmeter in determining low perfusion areas in peripapillary retina.

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Journal:  Br J Ophthalmol       Date:  2004-10       Impact factor: 4.638

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Authors:  Seok H Yun; Guillermo J Tearney; Benjamin J Vakoc; Milen Shishkov; Wang Y Oh; Adrien E Desjardins; Melissa J Suter; Raymond C Chan; John A Evans; Ik-Kyung Jang; Norman S Nishioka; Johannes F de Boer; Brett E Bouma
Journal:  Nat Med       Date:  2006-11-19       Impact factor: 53.440

4.  Gaussian beam effects on the photon correlation spectrum from a flowing Brownian motion system.

Authors:  T W Taylor; C M Sorensen
Journal:  Appl Opt       Date:  1986-07-15       Impact factor: 1.980

5.  Removing the depth-degeneracy in optical frequency domain imaging with frequency shifting.

Authors:  S Yun; G Tearney; J de Boer; B Bouma
Journal:  Opt Express       Date:  2004-10-04       Impact factor: 3.894

6.  Blood flow velocity quantification using split-spectrum amplitude-decorrelation angiography with optical coherence tomography.

Authors:  Jason Tokayer; Yali Jia; Al-Hafeez Dhalla; David Huang
Journal:  Biomed Opt Express       Date:  2013-09-03       Impact factor: 3.732

7.  Autocorrelation optical coherence tomography for mapping transverse particle-flow velocity.

Authors:  Yi Wang; Ruikang Wang
Journal:  Opt Lett       Date:  2010-11-01       Impact factor: 3.776

8.  Principal-component-analysis-based estimation of blood flow velocities using optical coherence tomography intensity signals.

Authors:  Nishant Mohan; Benjamin Vakoc
Journal:  Opt Lett       Date:  2011-06-01       Impact factor: 3.776

9.  Simultaneous and localized measurement of diffusion and flow using optical coherence tomography.

Authors:  Nicolás Weiss; Ton G van Leeuwen; Jeroen Kalkman
Journal:  Opt Express       Date:  2015-02-09       Impact factor: 3.894

10.  Dynamic light scattering optical coherence tomography.

Authors:  Jonghwan Lee; Weicheng Wu; James Y Jiang; Bo Zhu; David A Boas
Journal:  Opt Express       Date:  2012-09-24       Impact factor: 3.894

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  9 in total

1.  Noise and bias in optical coherence tomography intensity signal decorrelation.

Authors:  Néstor Uribe-Patarroyo; Anouk L Post; Sebastián Ruiz-Lopera; Dirk J Faber; Brett E Bouma
Journal:  OSA Contin       Date:  2020-03-17

2.  Shear-induced diffusion of red blood cells measured with dynamic light scattering-optical coherence tomography.

Authors:  Jianbo Tang; Sefik Evren Erdener; Baoqiang Li; Buyin Fu; Sava Sakadzic; Stefan A Carp; Jonghwan Lee; David A Boas
Journal:  J Biophotonics       Date:  2017-08-09       Impact factor: 3.207

3.  Intravascular optical coherence tomography [Invited].

Authors:  Brett E Bouma; Martin Villiger; Kenichiro Otsuka; Wang-Yuhl Oh
Journal:  Biomed Opt Express       Date:  2017-04-26       Impact factor: 3.732

4.  Optical coherence tomography velocimetry based on decorrelation estimation of phasor pair ratios (DEPPAIR).

Authors:  Maximilian G O Gräfe; Oleg Nadiarnykh; Johannes F De Boer
Journal:  Biomed Opt Express       Date:  2019-10-02       Impact factor: 3.732

5.  Forward multiple scattering dominates speckle decorrelation in whole-blood flowmetry using optical coherence tomography.

Authors:  Natalie G Ferris; Taylor M Cannon; Martin Villiger; Brett E Bouma; Néstor Uribe-Patarroyo
Journal:  Biomed Opt Express       Date:  2020-03-13       Impact factor: 3.732

6.  Using the dynamic forward scattering signal for optical coherence tomography based blood flow quantification.

Authors:  Ahhyun Stephanie Nam; Boy Braaf; Benjamin J Vakoc
Journal:  Opt Lett       Date:  2022-06-15       Impact factor: 3.560

7.  Normalized field autocorrelation function-based optical coherence tomography three-dimensional angiography.

Authors:  Jianbo Tang; Sefik Evren Erdener; Smrithi Sunil; David A Boas
Journal:  J Biomed Opt       Date:  2019-03       Impact factor: 3.170

8.  Impact of velocity gradient in Poiseuille flow on the statistics of coherent radiation scattered by flowing Brownian particles in optical coherence tomography.

Authors:  Ivan Popov; Andrew Weatherbee; Alex Vitkin
Journal:  J Biomed Opt       Date:  2019-09       Impact factor: 3.170

9.  A Neural Network Approach to Quantify Blood Flow from Retinal OCT Intensity Time-Series Measurements.

Authors:  Boy Braaf; Sabine Donner; Néstor Uribe-Patarroyo; Brett E Bouma; Benjamin J Vakoc
Journal:  Sci Rep       Date:  2020-06-15       Impact factor: 4.379

  9 in total

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