Skip to main content

Automatic Robust Segmentation of Retinal Layers in OCT Images with Refinement Stages

  • Conference paper
  • First Online:
Image Analysis and Recognition (ICIAR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8815))

Included in the following conference series:

  • 2376 Accesses

Abstract

At the present, Optical Coherence Tomography (OCT) is a very promising imaging technique used by ophthalmologists for diagnosing because it provides more information than other classical modalities. Retinal structures can be studied on these images, so image processing-based methods are emerging to extract their information. Previously to any automatic feature extraction process, delimitation of retinal layers must be automated. With that purpose, this paper presents an active contour-based method to segment retinal layer boundaries. Regarding previous work, it is remarkable that this proposal includes processes of refinement for segmented layers. Thus, validation done by an opthalmologic expert shows that the method obtains accurate results even when some of these layers present alterations or low definition, making it robust, which is a very important feat.

This paper has been partly funded by the Secretaría de Estado de Investigación, Desarrollo e Innovación of the Spanish Government (A. González-López acknowledges its support under FPI Grant Program).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Puzyeyeva, O., Lam, W.C., Flanagan, J., et al.: High-resolution optical coherence tomography retinal imaging: A case series illustrating potential and limitations. J. Ophthalmology, 764183–764186 (2011)

    Google Scholar 

  2. Sanchez-Tocino, H., Alvarez-Vidal, A., Maldonado, M.J., Moreno-Montañes, J., Garcia-Layana, A.: Retinal thickness study with optical coherence tomography in patients with diabetes. Investigative Ophthalmology & Visual Science 43(5), 1588–1594 (2002)

    Google Scholar 

  3. Yohannan, J., Bittencourt, M., Sepah, Y.J., Hatef, E., Sophie, R., Moradi, A., Liu, H., Ibrahim, M., Do, D.V., Coulantuoni, E., Nguyen, Q.D.: Association of retinal sensitivity to integrity of photoreceptor inner/outer segment junction in patients with diabetic macular edema. Ophthalmology 120(6), 1254–1261 (2013)

    Article  Google Scholar 

  4. Itoh, Y., Inoue, M., Rii, T., Hirota, K., Hirakata, A.: Correlation between foveal cone outer segment tips line and visual recovery after epiretinal membrane surgery. Investigative Ophthalmololgy & Visual Science 54(12), 7302–7308 (2013)

    Article  Google Scholar 

  5. Garvin, M.K., Abràmoff, M.D., Wu, X., Russell, S.R., Burns, T.L., Sonka, M.: Automated 3-d intraretinal layer segmentation of macular spectral-domain optical coherence tomography images. IEEE Trans. Med. Imaging 28(9), 1436–1447 (2009)

    Article  Google Scholar 

  6. Yang, Q., Reisman, C.A., Chan, K., Ramachandran, R., Raza, A., Hood, D.C.: Automated segmentation of outer retinal layers in macular oct images of patients with retinitis pigmentosa. Biomed. Opt. Express 2(9), 2493–2503 (2011)

    Article  Google Scholar 

  7. Yazdanpanah, A., Hamarneh, G., Smith, B., Sarunic, M.: Intra-retinal layer segmentation in optical coherence tomography using an active contour approach. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009, Part II. LNCS, vol. 5762, pp. 649–656. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  8. Mishra, A., Wong, A., Bizheva, K., Clausi, D.A.: Intra-retinal layer segmentation in optical coherence tomography images. Opt. Express 17(26), 23719–23728 (2009)

    Article  Google Scholar 

  9. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1(4), 321–331 (1988)

    Article  Google Scholar 

  10. Chiu, S.J., Li, X.T., Nicholas, P., Toth, C.A., Izatt, J.A., Farsiu, S.: Automatic segmentation of seven retinal layers in sdoct images congruent with expert manual segmentation. Optics Express 18(18), 19413–19428 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ana González-López .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

González-López, A., Ortega, M., Penedo, M.G., Charlón, P. (2014). Automatic Robust Segmentation of Retinal Layers in OCT Images with Refinement Stages. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2014. Lecture Notes in Computer Science(), vol 8815. Springer, Cham. https://doi.org/10.1007/978-3-319-11755-3_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11755-3_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11754-6

  • Online ISBN: 978-3-319-11755-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics