Morphometric analysis and classification of glaucomatous optic neuropathy using radial polynomials.

ABSTRACT:

Purpose

To quantify the morphological features of the optic nerve head using radial polynomials, to use these morphometric models as the basis for classification of glaucomatous optic neuropathy via an automated decision tree induction algorithm, and to compare these classification results with established procedures.

Methods

A cohort of patients with high-risk ocular hypertension or early glaucoma (n=179) and a second cohort of normal subjects (n=96) were evaluated for glaucomatous optic neuropathy using stereographic disc photography and confocal scanning laser tomography. Morphological features of the optic nerve head region were modeled from the tomography data using pseudo-Zernike radial polynomials and features derived from these models were used as the basis for class

SUBMITTER: Twa MD 

PROVIDER: S-EPMC3163012 | biostudies-literature | 2012 Jun-Jul

REPOSITORIES: biostudies-literature