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Directional Characteristics of Mammographic Spicules in the Complex Wavelet Domain

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Information Technologies in Medicine (ITiB 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 471))

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Abstract

The subject of this paper is effective recognition of radiating spicules on digital mammograms. The presence of the spicules is the dominant symptom of neoplastic breast lesions called architectural distortions (ADs) or spiculated masses (SMs). The originality of the proposed method lies in the extraction of effective descriptors based on local directional activity of mammographic texture. Additionally, non-directional properties of mammographic findings were used in order to provide complete information about the discussed pathologies. The methodology applied was based on an analysis and constructive modeling of the conditioning of spicules distribution in the complex wavelet domain. The numerical descriptors of local tissue spiculation were calculated in the complex wavelet domain and, next, have been optimized and empirically verified. The experimental study was conducted on the basis of 2516 regions of interests, containing both normal (2091) and abnormal (415) breast tissue (clinically confirmed spiculated findings). Using the feature vector computed in the complex wavelet domain, the accuracy of spicules recognition (both in the case of ADs and SMs) reached over 83 %.

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Acknowledgments

This publication was funded by the National Science Centre (Poland) based on the decision DEC-2011/03/B/ST7/03649.

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Authors and Affiliations

  1. Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75, Warsaw, Poland

    Magdalena Jasionowska & Artur Przelaskowski

Authors
  1. Magdalena Jasionowska
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  2. Artur Przelaskowski
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Corresponding author

Correspondence to Magdalena Jasionowska .

Editor information

Editors and Affiliations

  1. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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Jasionowska, M., Przelaskowski, A. (2016). Directional Characteristics of Mammographic Spicules in the Complex Wavelet Domain. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-319-39796-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-39796-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39795-5

  • Online ISBN: 978-3-319-39796-2

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