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Automated 3D Reconstruction and Segmentation from Optical Coherence Tomography

  • Justin A. Eichel
  • Kostadinka K. Bizheva
  • David A. Clausi
  • Paul W. Fieguth
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6313)

Abstract

Ultra-High Resolution Optical Coherence Tomography is a novel imaging technology that allows non-invasive, high speed, cellular resolution imaging of anatomical structures in the human eye, including the retina and the cornea.

A three-dimensional study of the cornea, for example, requires the segmentation and mutual alignment of a large number of two-dimensional images. Such segmentation has, until now, only been undertaken by hand for individual two-dimensional images; this paper presents a method for automated segmentation, opening substantial opportunities for 3D corneal imaging and analysis, using many hundreds of 2D slices.

Keywords

Optical Coherence Tomography Active Contour Active Contour Model Human Cornea Corneal Layer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Justin A. Eichel
    • 1
  • Kostadinka K. Bizheva
    • 2
  • David A. Clausi
    • 1
  • Paul W. Fieguth
    • 1
  1. 1.Systems Design EngineeringUniversity of WaterlooCanada
  2. 2.Department of Physics and AstronomyUniversity of WaterlooCanada

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