Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography

  • Authors:

  • Fabian Rathke;Stefan Schmidt;Christoph Schnörr

  • Affiliations:

  • University of Heidelberg, Image & Pattern Analysis Group;Heidelberg Collaboratory for Image Processing;University of Heidelberg, Image & Pattern Analysis Group and Heidelberg Collaboratory for Image Processing

  • Venue:
  • MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
  • Year:
  • 2011

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Abstract

We present a probabilistic approach to the segmentation of OCT scans of retinal tissue. By combining discrete exact inference and a global shape prior, accurate segmentations are computed that preserve the physiological order of intra-retinal layers. A major part of the computations can be performed in parallel. The evaluation reveals robustness against speckle noise, shadowing caused by blood vessels, and other scan artifacts.