Literature DB >> 35709056

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

Ahhyun Stephanie Nam, Boy Braaf, Benjamin J Vakoc.   

Abstract

To our knowledge, all existing optical coherence tomography approaches for quantifying blood flow, whether Doppler-based or decorrelation-based, analyze light that is back-scattered by moving red blood cells (RBCs). This work investigates the potential advantages of basing these measurements on light that is forward-scattered by RBCs, i.e., by looking at the signals back-scattered from below the vessel. We show experimentally that flowmetry based on forward-scattering is insensitive to vessel orientation for vessels that are approximately orthogonal to the imaging beam. We further provide proof-of-principle demonstrations of dynamic forward-scattering (DFS) flowmetry in human retinal and choroidal vessels.

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Year:  2022        PMID: 35709056      PMCID: PMC9580005          DOI: 10.1364/OL.455475

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.560


  15 in total

1.  Imaging and quantifying transverse flow velocity with the Doppler bandwidth in a phase-resolved functional optical coherence tomography.

Authors:  Hongwu Ren; Kjell Morten Brecke; Zhihua Ding; Yonghua Zhao; J Stuart Nelson; Zhongping Chen
Journal:  Opt Lett       Date:  2002-03-15       Impact factor: 3.776

2.  Localized measurement of longitudinal and transverse flow velocities in colloidal suspensions using optical coherence tomography.

Authors:  Nicolás Weiss; Ton G van Leeuwen; Jeroen Kalkman
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-10-28

3.  Quantitative technique for robust and noise-tolerant speed measurements based on speckle decorrelation in optical coherence tomography.

Authors:  Néstor Uribe-Patarroyo; Martin Villiger; Brett E Bouma
Journal:  Opt Express       Date:  2014-10-06       Impact factor: 3.894

4.  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

5.  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

6.  Phase-stabilized optical frequency domain imaging at 1-µm for the measurement of blood flow in the human choroid.

Authors:  Boy Braaf; Koenraad A Vermeer; Victor Arni D P Sicam; Elsbeth van Zeeburg; Jan C van Meurs; Johannes F de Boer
Journal:  Opt Express       Date:  2011-10-10       Impact factor: 3.894

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

Authors:  Néstor Uribe-Patarroyo; Brett E Bouma
Journal:  Phys Rev E       Date:  2016-08-15       Impact factor: 2.529

8.  Total retinal blood flow measurement with ultrahigh speed swept source/Fourier domain OCT.

Authors:  Bernhard Baumann; Benjamin Potsaid; Martin F Kraus; Jonathan J Liu; David Huang; Joachim Hornegger; Alex E Cable; Jay S Duker; James G Fujimoto
Journal:  Biomed Opt Express       Date:  2011-05-13       Impact factor: 3.732

9.  OCT methods for capillary velocimetry.

Authors:  Vivek J Srinivasan; Harsha Radhakrishnan; Eng H Lo; Emiri T Mandeville; James Y Jiang; Scott Barry; Alex E Cable
Journal:  Biomed Opt Express       Date:  2012-02-24       Impact factor: 3.732

10.  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

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