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Towards Fully Automated Tracking of Carotid and Vertebral Arteries in CT Angiography

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Bildverarbeitung für die Medizin 2013

Part of the book series: Informatik aktuell ((INFORMAT))

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Zusammenfassung

This paper presents an approach towards fully automated vessel tracking and segmentation in computed tomographic (CT) images. The proposed algorithm operates in 3D and is fast enough for interactive usage once preprocessing has been done. This approach focuses on vessel segmentation in the neck region, particularly the carotid arteries. Especially, potential apoplectic stroke patients can benefit from this approach due to the automatic visualization of the carotid arteries.

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Literatur

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Author information

Authors and Affiliations

  1. Fraunhofer Institute for Medical Image Computing MEVIS, Bremen, Deutschland

    Igor Pener, Michael Schmidt & Horst Karl Hahn

Authors
  1. Igor Pener
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  2. Michael Schmidt
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  3. Horst Karl Hahn
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Corresponding author

Correspondence to Igor Pener .

Editor information

Editors and Affiliations

  1. Abt. Med./Biol.Inform./H0100, Deutsches Krebsforschungzentrum (DKFZ), Im Neuenheimer Feld 280, Heidelberg, 69120, Germany

    Hans-Peter Meinzer

  2. Inst. Medizinische Informatik, RWTH Aachen, Pauwelsstr. 30, Aachen, 52074, Germany

    Thomas Martin Deserno

  3. , Institut für Medizinische Informatik, Universität zu Lübeck, Ratzeburger Allee 160, Lübeck, 23562, Germany

    Heinz Handels

  4. Charité Campus Benjamin Franklin, Inst. Medizinische Informatik,, Universitätsklinikum Berlin, Hindenburgdamm 30, Berlin, 12200, Berlin, Germany

    Thomas Tolxdorff

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© 2013 Springer-Verlag Berlin Heidelberg

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Pener, I., Schmidt, M., Hahn, H.K. (2013). Towards Fully Automated Tracking of Carotid and Vertebral Arteries in CT Angiography. In: Meinzer, HP., Deserno, T., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2013. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36480-8_33

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