Skip to main content
SpringerLink
Log in

Computer Analysis of Geometrical Parameters of the Retina Epiretinal Membrane

  • Conference paper
  • First Online:
Book cover Recent Research in Control Engineering and Decision Making (ICIT 2019)

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 199))

Included in the following conference series:

  • 608 Accesses

Abstract

Objective: to develop algorithms of processing of video images of optical slices of the retina of the eye to quantify the degree of folding of the epiretinal membranes and of the Central fossa. Material and methods: The object of the study was the video image of the retina obtained by optical coherence tomography. To develop methods of determining the degree of folding epiretinal membrane was formed mathematical model of the profile consisting of a base profile (low frequency component) and folding (high frequency part). Results: Developed two alternative methods of estimation of folding epiretinal membrane retinal - averaging method and the method using the Wavelet transform. The algorithm of geometrical parameters of the Central fossa: the height, width and line shape. These algorithms are implemented in a software system. Conclusion: The practical application of the developed system showed its adequacy, as well as an introduction into medical practice the use of quantitative estimates of some parameters of a condition of the retina.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Lambrozo, B., Rispoli, M.: OCT of the retina. Method of analysis and interpretation, Moscow, 83 p., April 2012. (in Russian)

    Google Scholar 

  2. Baamonde, S., de Moura, J., Novo, J., Ortega, M.: Automatic detection of epiretinal membrane in OCT images by means of local luminosity patterns. Adv. Comput. Intell. 10305, 222–235 (2017)

    Article  Google Scholar 

  3. Virgili, G., Menchini, F., Murro, V., Peluso, E., Rosa, F., Casazza, G.: Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy. Cochrane Database Syst. Rev. 7, CD008081 (2011)

    Google Scholar 

  4. Roh, Y.R., Park, K.H., Woo, S.J.: Foveal thickness between stratus and spectralis optical coherence tomography in retinal diseases. Korean J. Ophthalmol. 27(4), 268–275 (2013)

    Article  Google Scholar 

  5. Liu, Y.Y., Chen, M., Ishikawa, H., Wollstein, G., Schuman, J.S., Rehg, J.M.: Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding. Med. Image Anal. 15(5), 748–759 (2011)

    Article  Google Scholar 

  6. Quellec, G., Lee, K., Dolejsi, M., Garvin, M.K., Abramoff, M.D., Sonka, M.: Three-dimensional analysis of retinal layer texture: identification of fluid-filled regions in SD-OCT of the macula. IEEE Trans. Med. Imaging 29(6), 1321–1330 (2010)

    Article  Google Scholar 

  7. Koprowski, R., Rzendkowski, M., Wrobel, Z.: Automatic method of analysis of OCT images in assessing the severity degree of glaucoma and the visual field loss. BioMed. Eng. OnLine 13, 16 (2014)

    Article  Google Scholar 

  8. Fu, D., Tong, H., Zheng, S., Luo, L., Gao, F., Minar, J.: Retinal status analysis method based on feature extraction and quantitative grading in OCT images, Biomed. Eng. OnLine 15, 87 (2016). https://doi.org/10.1186/s12938-016-0206-x, https://www.researchgate.net/publiction/305519101_Retinal_status_analysis_method_based_on_feature_extraction_and_quantitative_grading_in_OCT_images

  9. Daurov, S.K., Dolinina, O.N., Kamenskikh, T.G., Batischeva, Yu.S., Kolbenev, I.O., Andreychenko, O.A., Potemkin, S.A., Proskudin, R.A.: Computer analysis of epiretinal membrane parameters. Saratov J. Med. Sci. Res. 13(2), 350–358 (2017). (in Russian)

    Google Scholar 

  10. Gonsales, R., Vuds, R.: Digital Image Processing, 3rd edn. Publishing Pearson (2008). ISBN: 978-0-13-168728-8

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Applied Information and Communications Technologies, Department of Applied Information Technology, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Stanislav Daurov, Sergey Potemkin & Svetlana Kumova

  2. Department of Eye Diseases, Saratov State Medical University n.a. V.I. Razumovsky, Saratov, Russia

    Tatiana Kamenskikh & Igor Kolbenev

  3. Department of Foreign Languages, Saratov State Medical University n.a. V.I. Razumovsky, Saratov, Russia

    Elena Chernyshkova

Authors
  1. Stanislav Daurov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sergey Potemkin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Svetlana Kumova
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Tatiana Kamenskikh
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Igor Kolbenev
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Elena Chernyshkova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Svetlana Kumova .

Editor information

Editors and Affiliations

  1. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Olga Dolinina

  2. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Alexander Brovko

  3. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Vitaly Pechenkin

  4. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Alexey Lvov

  5. Department of Automation, Novosibirsk State Technical University, Novosibirsk, Russia

    Vadim Zhmud

  6. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Daurov, S., Potemkin, S., Kumova, S., Kamenskikh, T., Kolbenev, I., Chernyshkova, E. (2019). Computer Analysis of Geometrical Parameters of the Retina Epiretinal Membrane. In: Dolinina, O., Brovko, A., Pechenkin, V., Lvov, A., Zhmud, V., Kreinovich, V. (eds) Recent Research in Control Engineering and Decision Making. ICIT 2019. Studies in Systems, Decision and Control, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-030-12072-6_17

Download citation

Publish with us

Policies and ethics

Search

Navigation