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Abstract: Automatic Detection of Cervical Spine Ligaments Origin and Insertion Points

  • Ibraheem Al-DhamariEmail author
  • Sabine Bauer
  • Eva Keller
  • Dietrich Paulus
Conference paper
  • 50 Downloads
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

Creating patient-specific simulation models helps to make customised implant or treatment plans. To create such models, exact locations of the Origin and Insertion Points of the Ligaments (OIPL) are needed. Locating these OIPL is usually done manually and it is a time-consuming procedure.

Literatur

  1. 1.
    Al-Dhamari I, Bauer S, Paulus D. In: A M, Th D, H H, et al., editors. Automatic multi-modal cervical spine image atlas segmentation. 101007. Springer Berlin Heidelberg, Berlin Heidelberg; 2018. p. 303–308.Google Scholar
  2. 2.
    AL-Dhamari I, Bauer S, Keller E, et al. Automatic detection of cervical spine ligaments origin and insertion points. In: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019); 2019. p. 48–51.Google Scholar

Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2020

Authors and Affiliations

  • Ibraheem Al-Dhamari
    • 1
    Email author
  • Sabine Bauer
    • 1
  • Eva Keller
    • 1
  • Dietrich Paulus
    • 1
  1. 1.Koblenz UniversityKoblenzDeutschland

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