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Generalized Shape Language Application to Detection of a Specific Type of Bone Erosion in X-ray Images

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Artificial Intelligence and Soft Computing (ICAISC 2016)

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Abstract

X-ray imaging is crucial in diagnosis of various musculoskeletal diseases. During early disease process, the X-ray changes are often scarce and difficult to capture and the definite localization of osteophytes or erosions is often challenging. Therefore, the attempt to use computer methods to facilitate better diagnosing is of great value. Formal tools for contour description are based on string languages. In Jakubowski’s shape languages sixteen primitives are predefined. Finite collection of primitives, however is insufficient for describing natural objects because of irregular character of this type of objects. In this paper the generalized shape language, in which primitives are defined on a higher level of abstraction, is proposed and is used for description and detection of a special type of complex erosions in bone contours.

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Acknowledgment

This paper was supported by the AGH - University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection as a part of the statutory project.

Author information

Authors and Affiliations

  1. Chair of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Mickiewicza 30, 30-059, Cracow, Poland

    Marzena Bielecka

  2. Division of Rheumatology, Departement of Internal Medicine and Gerontology, Jagiellonian University Hospital, Śniadeckich 10, 31-531, Cracow, Poland

    Mariusz Korkosz

Authors
  1. Marzena Bielecka
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  2. Mariusz Korkosz
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Corresponding author

Correspondence to Marzena Bielecka .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Bielecka, M., Korkosz, M. (2016). Generalized Shape Language Application to Detection of a Specific Type of Bone Erosion in X-ray Images. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9692. Springer, Cham. https://doi.org/10.1007/978-3-319-39378-0_45

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  • DOI: https://doi.org/10.1007/978-3-319-39378-0_45

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  • Online ISBN: 978-3-319-39378-0

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