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Automated Breast Volume of Interest Selection by Analysing Breast-Air Boundaries in MRI

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Part of the Informatik aktuell book series (INFORMAT)

Abstract

The first step in automated breast density estimation is to extract breast volume of interest, namely, the start and end slice numbers from the whole sequence. We evaluated results produced by two radiologists and developed an automatic strategy for the start and end slice detection. The result comparison showed that it is usually more straightforward to find the breast start than the breast end, Where the tissue gradually disappears. In general, the results produced by the algorithm are sufficiently accurate, and our solution will be integrated into a fully automatic breast segmentation pipeline.

Keywords

  • Gaussian Mixture Model
  • Mammographic Density
  • Breast Density
  • Active Contour
  • Breast Volume

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-662-46224-9_4
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Ivanovska, T., Wang, L., Völzke, H., Hegenscheid, K. (2015). Automated Breast Volume of Interest Selection by Analysing Breast-Air Boundaries in MRI. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_4

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  • DOI: https://doi.org/10.1007/978-3-662-46224-9_4

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  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46223-2

  • Online ISBN: 978-3-662-46224-9

  • eBook Packages: Computer Science and Engineering (German Language)