Literature DB >> 30891347

Precision analysis and optimization in phase decorrelation OCT velocimetry.

Maximilian G O Gräfe1, Maude Gondre1,2, Johannes F de Boer1.   

Abstract

Quantitative flow velocimetry in Optical Coherence Tomography is used to determine both the axial and lateral flow component at the level of individual voxels. The lateral flow is determined by analyzing the statistical properties of reflected electro-magnetic fields for repeated measurements at (nearly) the same location. The precision or statistical fluctuation of the quantitative velocity estimation depends on the number of repeated measurements and the method to determine quantitative flow velocity. In this paper, both a method to determine quantitative flow velocity and a model for the prediction of the statistical fluctuations of velocity estimations are developed to analyze and optimize the estimation precision for phase-based velocimetry methods. The method and model are validated by phantom measurements in a bulk scattering medium as well as in intralipid solution in a capillary. Based on the model, the number of repeated measurements to achieve a certain velocimetry precision is predicted.

Entities:  

Year:  2019        PMID: 30891347      PMCID: PMC6420279          DOI: 10.1364/BOE.10.001297

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  7 in total

1.  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

2.  Imaging and characterization of transitions in biofilm morphology via anomalous diffusion following environmental perturbation.

Authors:  Honggu Choi; Farzana R Zaki; Guillermo L Monroy; Jungeun Won; Stephen A Boppart
Journal:  Biomed Opt Express       Date:  2022-02-23       Impact factor: 3.732

3.  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

Review 4.  Approaches to quantify optical coherence tomography angiography metrics.

Authors:  Bingyao Tan; Ralene Sim; Jacqueline Chua; Damon W K Wong; Xinwen Yao; Gerhard Garhöfer; Doreen Schmidl; René M Werkmeister; Leopold Schmetterer
Journal:  Ann Transl Med       Date:  2020-09

5.  Subretinal Fibrosis Detection Using Polarization Sensitive Optical Coherence Tomography.

Authors:  Maximilian G O Gräfe; Jacoba A van de Kreeke; Joy Willemse; Boy Braaf; Yvonne de Jong; H Stevie Tan; Frank D Verbraak; Johannes F de Boer
Journal:  Transl Vis Sci Technol       Date:  2020-03-16       Impact factor: 3.283

6.  In Vivo 3D Determination of Peripapillary Scleral and Retinal Layer Architecture Using Polarization-Sensitive Optical Coherence Tomography.

Authors:  Joy Willemse; Maximilian G O Gräfe; Frank D Verbraak; Johannes F de Boer
Journal:  Transl Vis Sci Technol       Date:  2020-10-19       Impact factor: 3.283

7.  Imaging video plethysmography shows reduced signal amplitude in glaucoma patients in the area of the microvascular tissue of the optic nerve head.

Authors:  Ralf-Peter Tornow; Radim Kolar; Jan Odstrcilik; Ivana Labounkova; Folkert Horn
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-09-22       Impact factor: 3.117

  7 in total

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