Next Article in Journal
Cohomology Characterizations of Diagonal Non-Abelian Extensions of Regular Hom-Lie Algebras
Next Article in Special Issue
Tangible Visualization Table for Intuitive Data Display
Previous Article in Journal
Virtualized Network Function Orchestration System and Experimental Network Based QR Recognition for a 5G Mobile Access Network
Previous Article in Special Issue
Convergence Analysis on a Second Order Algorithm for Orthogonal Projection onto Curves
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessArticle

A Study for Parametric Morphogeometric Operators to Assist the Detection of Keratoconus

1
Department of Graphical Expression, Technical University of Cartagena, 30202 Cartagena, Spain
2
Department of Research and Development, Vissum Corporation Alicante, 03016 Alicante, Spain
3
Keratoconus Unit of Vissum Corporation Alicante, 03016 Alicante, Spain
4
Department of Refractive Surgery, Vissum Corporation Alicante, 03016 Alicante, Spain
5
Division of Ophthalmology, Miguel Hernández University of Elche, 03202 Alicante, Spain
*
Author to whom correspondence should be addressed.
Symmetry 2017, 9(12), 302; https://doi.org/10.3390/sym9120302
Received: 14 November 2017 / Revised: 1 December 2017 / Accepted: 3 December 2017 / Published: 5 December 2017
  |  
PDF [5986 KB, uploaded 6 December 2017]
  |  

Abstract

The aim of this study is to describe a new keratoconus detection method based on the analysis of certain parametric morphogeometric operators extracted from a custom patient-specific three-dimensional (3D) model of the human cornea. A corneal geometric reconstruction is firstly performed using zonal functions and retrospective Scheimpflug tomography data from 107 eyes of 107 patients. The posterior corneal surface is later analysed using an optimised computational geometry technique and the morphology of healthy and keratoconic corneas is characterized by means of geometric variables. The performance of these variables as predictors of a new geometric marker is assessed through a receiver operating characteristic (ROC) curve analysis and their correlations are analysed through Pearson or Spearman coefficients. The posterior apex deviation variable shows the best keratoconus diagnosis capability. However, the strongest correlations in both healthy and pathological corneas are provided by the metrics directly related to the thickness as the sagittal plane area at the apex and the sagittal plane area at the minimum thickness point. A comparison of the screening of keratoconus provided by the Sirius topographer and the detection of corneal ectasia using the posterior apex deviation parameter is also performed, demonstrating the accuracy of this characterization as an effective marker of the diagnosis and ectatic disease progression. View Full-Text
Keywords: geometric modelling; cornea reconstruction; diagnosis; Scheimpflug; computer-aided design geometric modelling; cornea reconstruction; diagnosis; Scheimpflug; computer-aided design
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Bataille, L.; Cavas-Martínez, F.; Fernández-Pacheco, D.G.; Cañavate, F.J.F.; Alio, J.L. A Study for Parametric Morphogeometric Operators to Assist the Detection of Keratoconus. Symmetry 2017, 9, 302.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Symmetry EISSN 2073-8994 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top