Skip to main content

Automatic Measurement and Analysis of Vessel Width in Retinal Fundus Image

  • Conference paper
  • First Online:
Proceedings of the First International Conference on Intelligent Computing and Communication

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 458))

Abstract

The unexpected changes in the width of retinal blood vessels can be recognized as one of the significant characters during the proliferation of several diseases. Clinical studies verify that width of retinal blood vessels may undergo changes during diabetes, hypertension, Retinopathy of prematurity and Proliferative Diabetic Retinopathy. Optical vessel swelling or Papilledema and optical neuritis are prominent ocular diseases that contribute to changes in the width. In this approach, width of retinal blood vessels has been determined to benefit the identification of such diseases. Every retinal fundus images exhibits several unique bifurcation points. The bifurcation points ensure stability and are not subject to any change even when prone to diseases. Identifying these points, our algorithm attempts to find the ratio of the width of a parent vessel with its corresponding child vessels at the bifurcation points. Experimental results prove that this ratio lies in the range of 1.1–1.8. Abrupt changes in the ratio ensures the probability of existence of ocular diseases.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

References

  1. The DRIVE database, Image sciences institute, university medical center utrecht, The Netherlands. http://www.isi.uu.nl/Research/Databases/DRIVE/, last accessed on 7th July, 2007

  2. MatLab R2013a, http://in.mathworks.com/support/sysreq/sv-r2013a/

  3. S. Saha, N. Dutta Roy, Automatic Detection of bifurcation points in retinal fundus images, International Journal of Latest Research in Science and Technology ISSN (Online): 2278–5299 Volume 2, Issue 2: Page No. 105–108, March–April (2013) http://www.mnkjournals.com/ijlrst.htm

  4. VARIA database

    Google Scholar 

  5. Enrico Pellegrini, Gavin Robertson, Emanuele Trucco, Tom J. MacGillivray, Carmen Lupascu, Jano van Hemert, Michelle C. Williams, David E. Newby, Edwin JR van Beek, and Graeme Houston, “Blood vessel segmentation and width estimation in ultra-wide field scanning laser ophthalmoscopy”, Biomedical Optic Express under Optical Society of America, Vol V, issue 12, 2014

    Google Scholar 

  6. Xiayu Xu, Joseph M. Reinhardt, Qiao Hu,Benjamin Bakall, Paul S. Tlucek, GeirBertelsen, “Retinal Vessel Width Measurement at Branchings Using an Improved Electric Field Theory-Based Graph Approach”, November 2012 in Medical Imaging, SPIE, Volume 8314

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Suchismita Goswami .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media Singapore

About this paper

Cite this paper

Suchismita Goswami, Sushmita Goswami, Sohini De (2017). Automatic Measurement and Analysis of Vessel Width in Retinal Fundus Image. In: Mandal, J., Satapathy, S., Sanyal, M., Bhateja, V. (eds) Proceedings of the First International Conference on Intelligent Computing and Communication. Advances in Intelligent Systems and Computing, vol 458. Springer, Singapore. https://doi.org/10.1007/978-981-10-2035-3_46

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-2035-3_46

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2034-6

  • Online ISBN: 978-981-10-2035-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics