Retinal Layers OCT Scans 3-D Segmentation

Ahmed A. Sleman, Ahmed Soliman, Mohammed Ghazal, Harpal Sandhu, Shlomit Schaal, Adel Elmaghraby, Ayman El-Baz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

The accurate segmentation of retinal layers of the eye in a 3-D Optical Coherence Tomography (OCT) data provides relevant clinical information. This paper introduces a 3D segmentation approach that uses an adaptive patient-specific retinal atlas as well as an appearance model for 3D OCT data. To reconstruct that atlas of 3D retinal scan, we first segment the central area of the macula at which we can clearly identify the fovea. Markov Gibbs Random Field (MGRF) including intensity, shape, and spatial information of 12 layers of retina were all used to segment the selected area of retinal fovea. A set of co-registered OCT scans that were gathered from 200 different individuals were used to build A 2D shape prior. This shape prior was adapted in a following step to the first order appearance and second order spatial interaction MGRF model. After segmenting the center of the macula 'foveal area', the labels and appearances of the layers that have been segmented were used to have the adjacent slices segmented as well. The last step was then repeated recursively until the a 3D OCT scan of the patient is segmented. This approach was tested on 35 individuals while some of them were normal and others were pathological, and then compared to a manually segmented ground truth and finally these results were verified by medical retina experts. Metrics such as Dice Similarity Coefficient (DSC), agreement coefficient (AC), and average deviation (AD) metrics were used to measure the performance of the proposed approach. Accomplished accuracy by the proposed approach shows promising results with noticeable advantages over the state-of-the-art 3D OCT approach.

Original languageEnglish (US)
Title of host publicationIST 2019 - IEEE International Conference on Imaging Systems and Techniques, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728138688
DOIs
StatePublished - Dec 2019
Event2019 IEEE International Conference on Imaging Systems and Techniques, IST 2019 - Abu Dhabi, United Arab Emirates
Duration: Dec 8 2019Dec 10 2019

Publication series

NameIST 2019 - IEEE International Conference on Imaging Systems and Techniques, Proceedings

Conference

Conference2019 IEEE International Conference on Imaging Systems and Techniques, IST 2019
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period12/8/1912/10/19

Keywords

  • 3D Segmentation
  • OCT
  • Retina

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Radiology Nuclear Medicine and imaging
  • Instrumentation

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