Absolute blood velocity measured with a modified fundus camera

Donald D. Duncan; Paul Lemaillet; Mohamed Ibrahim; Quan Dong Nguyen; Matthias Hiller; Jessica Ramella-Roman

doi:10.1117/1.3494565

Absolute blood velocity measured with a modified fundus camera

Donald D. Duncan, Paul Lemaillet, Mohamed Ibrahim, Quan Dong Nguyen, Matthias Hiller, Jessica Ramella-Roman

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

We present a new method for the quantitative estimation of blood flow velocity, based on the use of the Radon transform. The specific application is for measurement of blood flow velocity in the retina. Our modified fundus camera uses illumination from a green LED and captures imagery with a high-speed CCD camera. The basic theory is presented, and typical results are shown for an in vitro flow model using blood in a capillary tube. Subsequently, representative results are shown for representative fundus imagery. This approach provides absolute velocity and flow direction along the vessel center-line or any lateral displacement therefrom. We also provide an error analysis allowing estimation of confidence intervals for the estimated velocity.

Original language	English (US)
Article number	056014
Journal	Journal of biomedical optics
Volume	15
Issue number	5
DOIs	https://doi.org/10.1117/1.3494565
State	Published - Sep 2010
Externally published	Yes

Keywords

Absolute blood velocity
Flow
Perfusion
Radon transform

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
Biomedical Engineering

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10.1117/1.3494565

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title = "Absolute blood velocity measured with a modified fundus camera",

abstract = "We present a new method for the quantitative estimation of blood flow velocity, based on the use of the Radon transform. The specific application is for measurement of blood flow velocity in the retina. Our modified fundus camera uses illumination from a green LED and captures imagery with a high-speed CCD camera. The basic theory is presented, and typical results are shown for an in vitro flow model using blood in a capillary tube. Subsequently, representative results are shown for representative fundus imagery. This approach provides absolute velocity and flow direction along the vessel center-line or any lateral displacement therefrom. We also provide an error analysis allowing estimation of confidence intervals for the estimated velocity.",

keywords = "Absolute blood velocity, Flow, Perfusion, Radon transform",

author = "Duncan, {Donald D.} and Paul Lemaillet and Mohamed Ibrahim and Nguyen, {Quan Dong} and Matthias Hiller and Jessica Ramella-Roman",

note = "Funding Information: This work was sponsored in part by National Institutes of Health Grant No. RO1 EY017577.",

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AU - Duncan, Donald D.

AU - Lemaillet, Paul

AU - Ibrahim, Mohamed

AU - Nguyen, Quan Dong

AU - Hiller, Matthias

AU - Ramella-Roman, Jessica

N1 - Funding Information: This work was sponsored in part by National Institutes of Health Grant No. RO1 EY017577.

PY - 2010/9

Y1 - 2010/9

N2 - We present a new method for the quantitative estimation of blood flow velocity, based on the use of the Radon transform. The specific application is for measurement of blood flow velocity in the retina. Our modified fundus camera uses illumination from a green LED and captures imagery with a high-speed CCD camera. The basic theory is presented, and typical results are shown for an in vitro flow model using blood in a capillary tube. Subsequently, representative results are shown for representative fundus imagery. This approach provides absolute velocity and flow direction along the vessel center-line or any lateral displacement therefrom. We also provide an error analysis allowing estimation of confidence intervals for the estimated velocity.

AB - We present a new method for the quantitative estimation of blood flow velocity, based on the use of the Radon transform. The specific application is for measurement of blood flow velocity in the retina. Our modified fundus camera uses illumination from a green LED and captures imagery with a high-speed CCD camera. The basic theory is presented, and typical results are shown for an in vitro flow model using blood in a capillary tube. Subsequently, representative results are shown for representative fundus imagery. This approach provides absolute velocity and flow direction along the vessel center-line or any lateral displacement therefrom. We also provide an error analysis allowing estimation of confidence intervals for the estimated velocity.

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KW - Flow

KW - Perfusion

KW - Radon transform

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Absolute blood velocity measured with a modified fundus camera

Abstract

Keywords

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