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Segmentation of Macular Lesions Using Active Shape Contour Method

  • Jan Kubicek
  • Iveta Bryjova
  • Marek PenhakerEmail author
  • Jana Javurkova
  • Lukas Kolarcik
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 423)

Abstract

Age-related macular degeneration (ARMD) is one of the most widespread diseases of the eye fundus and is the most common cause of vision loss for those over the age of 60. There are several ways to diagnose ARMD. One of them is the Fundus Autofluorescence (FAF) method, and is one of the modalities of Heidelberg Engineering diagnostic devices. The BluePeak™ modality utilizes the fluorescence of lipofuscin (a pigment in the affected cells) to display the extent of the disease’s progression. The native image is further evaluated to more precisely specify the diagnosis of the disease—it is necessary to determine the size of the macular lesion area. Calculations of the geometric parameters of macular lesions were conducted in the MATLAB® software; the size of the lesion area was determined using the Image Processing Toolbox. The automated lesion detection method occurs using a parametric active contour (active contours driven by local Gaussian distribution fitting energy) that encloses the affected macular lesion, thereby allowing a precise determination of the affected area. This method is relatively quick for use in clinical practice and allows evaluation the macular lesions exactly based on the proportion with the feature extraction in advance. The proposed methodology is fully automatic. In the algorithm input we define area of interest and initial circle, which is placed inside of the object. Image background is suppressed by low pass filter. Final contour is formed in consecutive steps, up to shape of macular lesion.

Keywords

Age-related macular degeneration Optical coherence tomography Blue peak™ Image processing Active contour Medical image segmentation 

Notes

Acknowledgements

The work and the contributions were supported by the project SP2015/179 ‘Biomedicínské inženýrské systémy XI’ and This work is partially supported by the Science and Research Fund 2014 of the Moravia-Silesian Region, Czech Republic and this paper has been elaborated in the framework of the project “Support research and development in the Moravian-Silesian Region 2014 DT 1—Research Teams” (RRC/07/2014). Financed from the budget of the Moravian-Silesian Region.

References

  1. 1.
    Wang, Z.L., et al.: Bevacizumab cured age-related macular degeneration (AMD) via down-regulate TLR2 pathway. Central Eur. J. Biol. 9(5), 469–475 (2014). doi: 10.2478/s11535-014-0290-5
  2. 2.
    Christen, W.G., Chew, E.Y.: Does long-term aspirin use increase the risk of neovascular age-related macular degeneration? Expert Opin. Drug Saf. 13(4), 421–429 (2014). doi: 10.1517/14740338.2014.889680 Google Scholar
  3. 3.
    Pustkova, R., et al.: Measurement and calculation of cerebrospinal fluid in proportion to the skull. In: 2010 9th Roedunet International Conference (RoEduNet) (2010)Google Scholar
  4. 4.
    Cheung, L.K., Eaton, A.: Age-related macular degeneration. Pharmacotherapy: J. Human Pharmacol. Drug Ther. 33(8), 838–855 (2013). doi: 10.1002/phar.1264 Google Scholar
  5. 5.
    Penhaker, M., Matejka, V.: Image registration in neurology applications. In: 2010 International Conference on Networking and Information Technology (ICNIT) (2010)Google Scholar
  6. 6.
    Tsika, Ch., Tsilimbaris, M.K., Makridaki, M., Kontadakis, G., Plainis, S., Mos-chandreas, J.: Assessment of macular pigment optical density (MPOD) in patients with unilateral wet age-related macular degeneration (AMD). Acta Ophthalmol. 89(7), e573–e578 (2011)CrossRefGoogle Scholar
  7. 7.
    Stetson, P.F., et al.: OCT minimum intensity as a predictor of geographic atrophy enlargement. Invest. Ophthalmol. 55(2), 792–800 (2014). doi: 10.1167/iovs.13-13199 Google Scholar
  8. 8.
    Alam, S., et al.: Clinical Application of rapid serial fourier-domain optical coherence tomography for macular imaging. Ophthalmology 113(8), 1425–1431 (2006). doi: 10.1016/j.ophtha.2006.03.020 Google Scholar
  9. 9.
    Kubicek, J., et al.: Segmentation of MRI data to extract the blood vessels based on fuzzy thresholding. In: New Trends in Intelligent Information and Database Systems, pp. 43–52. Springer International Publishing, Berlin (2015)Google Scholar
  10. 10.
    Coscas, G., et al.: Optical coherence tomography in age-related macular degener-ation: OCT in AMD. Springer, Heidelberg (2009). ISBN 978-364-2014-680CrossRefGoogle Scholar
  11. 11.
    Besirli, C.G., Comer, G.M.: High-resolution OCT imaging of RPE degeneration in bilateral diffuse uveal melanocytic proliferation. Ophthalmic Surg. Lasers Imaging. 41(6), S96–S100 (2010). doi: 10.3928/15428877-20101031-03 Google Scholar
  12. 12.
    Blue Laser Autofluorescence. A supplement to Ophthalmology Times Europe: Blue laser autofluorescence [online]. Advanstar Communications, Chester (2009) [cit. 2013-12-03]. ISSN 1753-3066)Google Scholar
  13. 13.
    Wang, L., et al.: Active contour driven by local Gaussian distribution fitting energy. Sig. Proc. 89(12), 2435–2447 (2009). doi: 10.1016/j.sigpro
  14. 14.
    Kubicek, J., Penhaker, M.: Fuzzy algorithm for segmentation of images in extraction of objects from MRI. In: 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE (2014)Google Scholar
  15. 15.
    Kubicek, J., et al.: Articular cartilage defect detection based on image segmentation with colour mapping, in computational collective intelligence. Technologies and Applications, pp. 214–222. Springer International Publishing, Berlin (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Jan Kubicek
    • 1
  • Iveta Bryjova
    • 1
  • Marek Penhaker
    • 1
    Email author
  • Jana Javurkova
    • 1
  • Lukas Kolarcik
    • 2
  1. 1.The Department of Cybernetics and Biomedical EngineeringFEI VSB-TU OstravaOstrava-PorubaCzech Republic
  2. 2.Clinic of OphthalmologyUniversity Hospital OstravaOstrava-PorubaCzech Republic

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