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A Review on Cornea Imaging and Processing Techniques.

James Deva Koresh Hezekiah1, Shanty Chacko2

  • 1Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India.

Current Medical Imaging
|March 6, 2020
PubMed
Summary
This summary is machine-generated.

Accurate cornea thickness measurement and layer segmentation are crucial for refractive surgery like LASIK and diagnosing eye conditions. This review explores optimal imaging and image processing methods for precise corneal evaluation.

Keywords:
MATLABOCTcornea layerscornea segmentationcornea thicknessedge detectionimage segmentation.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Cornea thickness measurement is vital for refractive surgeries such as Laser-Assisted in SItu Keratomileusis (LASIK).
  • Accurate corneal assessment aids in diagnosing and treating various eye diseases.
  • Layer segmentation of the cornea is essential for surgical planning and post-operative care.

Purpose of the Study:

  • To review and identify optimal methods for measuring cornea thickness.
  • To explore techniques for corneal layer segmentation.
  • To evaluate image processing techniques for corneal analysis.

Main Methods:

  • Review of existing imaging and non-imaging methods for cornea thickness measurement.
  • Analysis of image processing techniques applied to corneal images.
  • Evaluation of methods for layer segmentation in the cornea.

Main Results:

  • The study identifies and discusses various techniques for cornea thickness measurement.
  • It highlights the importance of layer segmentation for comprehensive corneal evaluation.
  • Optimal methods for thickness measurement and segmentation are explored.

Conclusions:

  • Accurate cornea thickness measurement and layer segmentation are critical for refractive surgery and eye health management.
  • Image processing techniques play a significant role in analyzing corneal images for these parameters.
  • The paper provides a review to support the selection of optimal diagnostic and surgical planning methods.