Open AccessAutomated segmentation of retinal layer boundaries and capillary plexuses in wide-field optical coherence tomographic angiography
Author(s) -
Yukun Guo,
Acner Camino,
Miao Zhang,
Jiangtao Wang,
David Huang,
Thomas S. Hwang,
Yali Jia
Publication year - 2018
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.9.004429
Subject(s) - retinal , optical coherence tomography , subpixel rendering , computer science , segmentation , artificial intelligence , optics , computer vision , ophthalmology , medicine , physics , pixel
Advances in the retinal layer segmentation of structural optical coherence tomography (OCT) images have allowed the separation of capillary plexuses in OCT angiography (OCTA). With the increased scanning speeds of OCT devices and wider field images (≥10 mm on fast-axis), greater retinal curvature and anatomic variations have introduced new challenges. In this study, we developed a novel automated method to segment seven retinal layer boundaries and two retinal plexuses in wide-field OCTA images. The algorithm was initialized by a series of points forming a guidance point array that estimates the location of retinal layer boundaries. A guided bidirectional graph search method consisting of an improvement of our previous segmentation algorithm was used to search for the precise boundaries. We validated the method on normal and diseased eyes, demonstrating subpixel accuracy for all groups. By allowing independent visualization of the superficial and deep plexuses, this method shows potential for the detection of plexus-specific peripheral vascular abnormalities.