Open AccessAdvanced image processing for optical coherence tomographic angiography of macular diseases
Author(s) -
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
Publication year - 2015
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.6.004661
Subject(s) - computer science , optical coherence tomography , macular degeneration , diabetic retinopathy , artificial intelligence , angiography , retinal , image processing , fluorescein angiography , computer vision , ophthalmology , medicine , radiology , image (mathematics) , diabetes mellitus , endocrinology
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.