Segmentation of the Surfaces of the Retinal Layer from OCT Images

  • Mona Haeker
  • Michael Abràmoff
  • Randy Kardon
  • Milan Sonka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4190)


We have developed a method for the automated segmentation of the internal limiting membrane and the pigment epithelium in 3-D OCT retinal images. Each surface was found as a minimum s-t cut from a geometric graph constructed from edge/regional information and a priori-determined surface constraints. Our approach was tested on 18 3-D data sets (9 from patients with normal optic discs and 9 from patients with papilledema) obtained using a Stratus OCT-3 scanner. Qualitative analysis of surface detection correctness indicates that our method consistently found the correct surfaces and outperformed the proprietary algorithm used in the Stratus OCT-3 scanner. For example, for the internal limiting membrane, 4% of the 2-D scans had minor failures with no major failures using our approach, but 19% of the 2-D scans using the Stratus OCT-3 scanner had minor or complete failures.


Optical Coherence Tomography Retinal Thickness Retinal Layer Optical Coherence Tomography Image Geometric Graph 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mona Haeker
    • 1
    • 2
  • Michael Abràmoff
    • 1
    • 3
  • Randy Kardon
    • 3
  • Milan Sonka
    • 1
    • 3
  1. 1.Department of Electrical and Computer EngineeringThe University of IowaIowa CityUSA
  2. 2.Department of Biomedical EngineeringThe University of IowaIowa CityUSA
  3. 3.Department of Ophthalmology and Visual SciencesThe University of IowaIowa CityUSA

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