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Capillary Blood Vessel Tortuosity Measurement Using Graph Analysis

  • Mariusz Paradowski
  • Halina Kwasnicka
  • Krzysztof Borysewicz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5712)

Abstract

Capillaroscopy is a branch of medicine which allows to diagnose various kinds of rheumatic diseases on the basis of observation of visual properties of nail-fold capillaries. Capillaries are tiny blood vessels of various shapes and sizes. Blood vessel tortuosity is one of medical signs. The paper presents a novel blood vessel tortuosity measure designed for capillary analysis. It represents the vessel as a graph and utilizes non-directional and directional traversal algorithms.

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References

  1. 1.
    Hart, W.E., Goldbaum, M., Kube, P., Nelson, M.R.: Automated measurement of retinal vascular tortuosity. In: Proc. of AMIA Fall Conference, pp. 459–463 (1997)Google Scholar
  2. 2.
    Chandrinos, K.V., Pilu, M., Fisher, R.B., Trahanias, P.E.: Image Processing Techniques for the Quantification of Atherosclerotic Changes. In: Mediterranian Conf. Medical and Bio. Eng. and Computing (1997)Google Scholar
  3. 3.
    Hart, W.E., Goldbaum, M., Kube, P., Nelson, M.R.: Measurement and classification of retinal vascular tortuosity. International Journal of Medical Informatics 53, 239–252 (1999)CrossRefGoogle Scholar
  4. 4.
    Bullitt, E., Gerig, G., Pizer, S.M., Lin, W., Aylward, S.R.: Measuring Tortuosity of the Intracerebral Vasculature from MRA Images. IEEE Transactions on Medical Imaging 22(9), 1163–1171 (2003)CrossRefGoogle Scholar
  5. 5.
    Grisan, E., Foracchia, M., Ruggeri, A.: A novel method for the automatic evaluation of retinal vessel tortuosity. In: Proc. of 25th IEEE EMBS, pp. 866–869 (2003)Google Scholar
  6. 6.
    Rangayyan, R.M.: Biomedical Image Analysis, Biomedical Engineering Series. CRC Press, Boca Raton (2004)CrossRefGoogle Scholar
  7. 7.
    Grassi, W., Del Medico, P.: Atlas of Capillaroscopy, EDRA (2004)Google Scholar
  8. 8.
    Witten, I.H., Frank, E.: Data Mining: Practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005)zbMATHGoogle Scholar
  9. 9.
    Kwasnicka, H., Paradowski, M., Borysewicz, K.: Capillaroscopy Image Analysis as an Automatic Image Annotation Problem. In: Proc. of CISIM 2007, pp. 266–271 (2007)Google Scholar
  10. 10.
    Paradowski, M., Kwasnicka, H., Borysewicz, K.: Capillary Blood Vessel Tracking using Polar Coordinates based Model Identification. Advances in Intelligent and Soft Computing, 499–506 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Mariusz Paradowski
    • 1
  • Halina Kwasnicka
    • 1
  • Krzysztof Borysewicz
    • 2
  1. 1.Institute of InformaticsWroclaw University of TechnologyPoland
  2. 2.Department of Rheumatology and Internal DiseasesWroclaw Medical UniversityPoland

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