Automated Posterior Scleral Topography Assessment for Enhanced Staphyloma Visualization and Quantification With Improved Maculopathy Correlation.

ABSTRACT:

Purpose

To quantitatively characterize the posterior morphology of high myopia eyes with posterior staphyloma.

Methods

Surface points of the eyeball were automatically extracted from magnetic resonance imaging scans using deep learning. Subsequently, the topography of posterior staphylomas was constructed to facilitate accurate visualization and quantification of their location and severity. In the three-dimensional Cartesian coordinate system established with surface points, measurements of distances (D) from each point to the hypothetical pre-elongation eye center within the eyeball and local curvatures (C) at each point on the posterior sclera were computed. Using this data, specific parameters were formulated. The concordance of these parameters with traditional staphylo

SUBMITTER: Han YX 

PROVIDER: S-EPMC11534019 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature