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Min-Cut Segmentation of Retinal OCT Images

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Biomedical Engineering Systems and Technologies (BIOSTEC 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1024))

Abstract

Optical Coherence Tomography (OCT) is one of the most vital tools for diagnosing and tracking progress of medication of various retinal disorders. Many methods have been proposed to aid with the analysis of retinal images due to the intricacy of retinal structures, the tediousness of manual segmentation and variation from different specialists. However image artifacts, in addition to inhomogeneity in pathological structures, remain a challenge, with negative influence on the performance of segmentation algorithms. In this paper we present an automatic retinal layer segmentation method, which comprises of fuzzy histogram hyperbolization and graph cut methods. We impose hard constraints to limit search region to sequentially segment 8 boundaries and 7 layers of the retina on 150 OCT B-Sans images, 50 each from the temporal, nasal and center of foveal regions. Our method shows positive results, with additional tolerance and adaptability to contour variance and pathological inconsistence of the retinal structures in all regions.

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Author information

Authors and Affiliations

  1. Brunel University London, UB8 3PH, London, UK

    Bashir Isa Dodo, Yongmin Li, Khalid Eltayef & Xiaohui Liu

Authors
  1. Bashir Isa Dodo
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  2. Yongmin Li
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  3. Khalid Eltayef
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  4. Xiaohui Liu
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Corresponding author

Correspondence to Bashir Isa Dodo .

Editor information

Editors and Affiliations

  1. University of Sao Paulo, São Paulo, Brazil

    Alberto Cliquet Jr.

  2. University of Saskatchewan, Saskatoon, Canada

    Sheldon Wiebe

  3. College of Charleston, Charleston, SC, USA

    Paul Anderson

  4. University of Rome Tor Vergata, Rome, Italy

    Giovanni Saggio

  5. Aberystwyth University, Aberystwyth, UK

    Reyer Zwiggelaar

  6. LIBPhys, New University of Lisbon, Lisbon, Portugal

    Hugo Gamboa

  7. Instituto de Telecomunicações and Instituto Superior Técnico, Lisbon, Portugal

    Ana Fred

  8. Madeira Interactive Technologies Institute, Universidade da Madeira, Funchal, Portugal

    Sergi Bermúdez i Badia

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Dodo, B.I., Li, Y., Eltayef, K., Liu, X. (2019). Min-Cut Segmentation of Retinal OCT Images. In: Cliquet Jr., A., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2018. Communications in Computer and Information Science, vol 1024. Springer, Cham. https://doi.org/10.1007/978-3-030-29196-9_5

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  • DOI: https://doi.org/10.1007/978-3-030-29196-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29195-2

  • Online ISBN: 978-3-030-29196-9

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