Skip to main content

Coupled Parallel Snakes for Segmenting Healthy and Pathological Retinal Arteries in Adaptive Optics Images

  • 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:

Abstract

In this paper, we propose two important improvements of an existing approach for automatically segmenting the walls of retinal arteries of healthy/pathological subjects in adaptive optics images. We illustrate the limits of the previous approach and propose to (i) modify the pre-segmentation step, and (ii) embed additional information through coupling energy terms in the parallel active contour model. The interest of these new elements as well as the pre-segmentation step is then evaluated against manual segmentations. They improve the robustness against low contrasted walls and morphological deformations that occur along vessels in case of pathologies. Noticeably, this strategy permits to obtain a mean error of \(13.4\,\%\) compared to an inter-physicians error of \(17\,\%\), for the wall thickness which is the most sensitive measure used. Additionally, this mean error is in the same range than for healthy subjects.

This work is funded by the ANR project ANR-12-TECS-0015-03 (2013–2015).

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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.

References

  1. Buus, N.H., Mathiassen, O.N., Fenger-Grøn, M., Præstholm, M.N., Sihm, I., Thybo, N.K., Schroeder, A.P., Thygesen, K., Aalkjær, C., Pedersen, O.L., Mulvany, M.J., Christensen, K.L.: Small artery structure during antihypertensive therapy is an independent predictor of cardiovascular events in essential hypertension. Journal of Hypertension 31(4), 791–797 (2013)

    Article  Google Scholar 

  2. Chan, T.Y., Vannasdale, D.A., Burns, S.A.: The use of forward scatter to improve retinal vascular imaging with an adaptive optics scanning laser ophthalmoscope. Biomedical Optics Express 3(10), 2537–2549 (2012)

    Article  Google Scholar 

  3. Ghorbel, I., Rossant, F., Bloch, I., Paques, M.: Modeling a parallelism constraint in active contours. Application to the segmentation of eye vessels and retinal layers. In: International Conference on Image Processing (ICIP), pp. 445–448 (2011)

    Google Scholar 

  4. Heagerty, A.M., Aalkjær, C., Bund, S.J., Korsgaard, N., Mulvany, M.J.: Small artery structure in hypertension: Dual processes of remodeling and growth. Journal of Hypertension 21, 391–397 (1993)

    Article  Google Scholar 

  5. Koch, E.: Morphometric study of human retina arteriolars in high resolution imaging. Master’s thesis, Universite Pierre et Marie Curie (2012)

    Google Scholar 

  6. Kulcsár, C., Le Besnerais, G., Ödlund, E., Levecq, X.: Robust processing of images sequences produced by an adaptive optics retinal camera. In: Optical Society of America, Adaptive Optics: Methods, Analysis and Applications, p. OW3A.3 (2013)

    Google Scholar 

  7. Lerme, N., Rossant, F., Bloch, I., Paques, M., Koch, E.: Segmentation of retinal arteries in adaptive optics images. In: International Conference on Pattern Recognition (2014)

    Google Scholar 

  8. Taylor, H., Keeffe, J.: World blindness: A 21st century perspective. British Journal of Ophtalmology 85(3), 261–266 (2001)

    Article  Google Scholar 

  9. Viard, C., Nakashima, K., Lamory, B., Paques, M., Levecq, X., Chateau, N.: Imaging microscopic structures in pathological retinas using a flood-illumination adaptive optics retinal camera. In: Photonics West: Biomedical Optics (BiOS), vol. 7885, pp. 788 509+ (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nicolas Lermé .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Lermé, N., Rossant, F., Bloch, I., Paques, M., Koch, E. (2014). Coupled Parallel Snakes for Segmenting Healthy and Pathological Retinal Arteries in Adaptive Optics Images. 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_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11755-3_35

  • 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