Mean curvature mapping for detection of corneal shape abnormality

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Corneal topography is used to measure the anterior surface of the cornea. It is conventionally represented as radial slope, radial curvature, and elevation. In this paper, we introduce the application of mean curvature mapping as an alternative representation of the corneal topography. The purpose is to improve the detection of keratoconus and other diseases characterized by local increase in corneal curvature. Both simulated keratoconic cornea and real keratoconus data exported from the corneal topography system were analyzed. Four representations of corneal topography were generated and compared. It was found that mean curvature mapping provided the most precise cone location in simulated keratoconus. In both actual and simulated keratoconus cases, the appearance of the cone-like distortion is more consistent on mean curvature maps. Mean curvature mapping may improve the detection and localization of corneal shape abnormalities.

Original languageEnglish (US)
Pages (from-to)424-428
Number of pages5
JournalIEEE Transactions on Medical Imaging
Volume24
Issue number2
DOIs
StatePublished - Mar 2005
Externally publishedYes

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Corneal Topography
Keratoconus
Topography
Cornea
Cones

Keywords

  • Cornea
  • Corneal topography
  • Keratoconus
  • Mean curvature

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Mean curvature mapping for detection of corneal shape abnormality. / Tang, Maolong; Shekhar, Raj; Huang, David.

In: IEEE Transactions on Medical Imaging, Vol. 24, No. 2, 03.2005, p. 424-428.

Research output: Contribution to journalArticle

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