Advanced image processing for optical coherence tomographic angiography of macular diseases

Miao Zhang; Jie Wang; Alex D. Pechauer; Thomas S. Hwang; Simon S. Gao; Liang Liu; Li Liu; Steven T. Bailey; David J. Wilson; David Huang; Yali Jia

doi:10.1364/BOE.6.004661

Advanced image processing for optical coherence tomographic angiography of macular diseases

Miao Zhang, Jie Wang, Alex D. Pechauer, Thomas S. Hwang, Simon S. Gao, Liang Liu, Li Liu, Steven T. Bailey, David J. Wilson, David Huang, Yali Jia

Ophthalmology

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

123 Scopus citations

Abstract

This article provides an overview of advanced image processing for three dimensional (3D) optical coherence tomographic (OCT) angiography of macular diseases, including age-related macular degeneration (AMD) and diabetic retinopathy (DR). A fast automated retinal layers segmentation algorithm using directional graph search was introduced to separates 3D flow data into different layers in the presence of pathologies. Intelligent manual correction methods are also systematically addressed which can be done rapidly on a single frame and then automatically propagated to full 3D volume with accuracy better than 1 pixel. Methods to visualize and analyze the abnormalities including retinal and choroidal neovascularization, retinal ischemia, and macular edema were presented to facilitate the clinical use of OCT angiography.

Original language	English (US)
Article number	250610
Pages (from-to)	4661-4675
Number of pages	15
Journal	Biomedical Optics Express
Volume	6
Issue number	12
DOIs	https://doi.org/10.1364/BOE.6.004661
State	Published - Nov 2 2015

Keywords

Image analysis
Image processing
Ophthalmology
Optical coherence tomography

ASJC Scopus subject areas

Biotechnology
Atomic and Molecular Physics, and Optics

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10.1364/BOE.6.004661

Cite this

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title = "Advanced image processing for optical coherence tomographic angiography of macular diseases",

abstract = "This article provides an overview of advanced image processing for three dimensional (3D) optical coherence tomographic (OCT) angiography of macular diseases, including age-related macular degeneration (AMD) and diabetic retinopathy (DR). A fast automated retinal layers segmentation algorithm using directional graph search was introduced to separates 3D flow data into different layers in the presence of pathologies. Intelligent manual correction methods are also systematically addressed which can be done rapidly on a single frame and then automatically propagated to full 3D volume with accuracy better than 1 pixel. Methods to visualize and analyze the abnormalities including retinal and choroidal neovascularization, retinal ischemia, and macular edema were presented to facilitate the clinical use of OCT angiography.",

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AU - Zhang, Miao

AU - Wang, Jie

AU - Pechauer, Alex D.

AU - Hwang, Thomas S.

AU - Gao, Simon S.

AU - Liu, Liang

AU - Liu, Li

AU - Bailey, Steven T.

AU - Wilson, David J.

AU - Huang, David

AU - Jia, Yali

PY - 2015/11/2

Y1 - 2015/11/2

N2 - This article provides an overview of advanced image processing for three dimensional (3D) optical coherence tomographic (OCT) angiography of macular diseases, including age-related macular degeneration (AMD) and diabetic retinopathy (DR). A fast automated retinal layers segmentation algorithm using directional graph search was introduced to separates 3D flow data into different layers in the presence of pathologies. Intelligent manual correction methods are also systematically addressed which can be done rapidly on a single frame and then automatically propagated to full 3D volume with accuracy better than 1 pixel. Methods to visualize and analyze the abnormalities including retinal and choroidal neovascularization, retinal ischemia, and macular edema were presented to facilitate the clinical use of OCT angiography.

AB - This article provides an overview of advanced image processing for three dimensional (3D) optical coherence tomographic (OCT) angiography of macular diseases, including age-related macular degeneration (AMD) and diabetic retinopathy (DR). A fast automated retinal layers segmentation algorithm using directional graph search was introduced to separates 3D flow data into different layers in the presence of pathologies. Intelligent manual correction methods are also systematically addressed which can be done rapidly on a single frame and then automatically propagated to full 3D volume with accuracy better than 1 pixel. Methods to visualize and analyze the abnormalities including retinal and choroidal neovascularization, retinal ischemia, and macular edema were presented to facilitate the clinical use of OCT angiography.

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KW - Ophthalmology

KW - Optical coherence tomography

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Advanced image processing for optical coherence tomographic angiography of macular diseases

Abstract

Keywords

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