Automated foveal location detection on spectral-domain optical coherence tomography in geographic atrophy patients.

ABSTRACT:

Purpose

To develop a fully automated algorithm for accurate detection of fovea location in atrophic age-related macular degeneration (AMD), based on spectral-domain optical coherence tomography (SD-OCT) scans.

Methods

Image processing was conducted on a cohort of patients affected by geographic atrophy (GA). SD-OCT images (cube volume) from 55 eyes (51 patients) were extracted and processed with a layer segmentation algorithm to segment Ganglion Cell Layer (GCL) and Inner Plexiform Layer (IPL). Their en face thickness projection was convolved with a 2D Gaussian filter to find the global maximum, which corresponded to the detected fovea. The detection accuracy was evaluated by computing the distance between manual annotation and predicted location.

Results

The mean tot

SUBMITTER: Montesel A 

PROVIDER: S-EPMC9203415 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature