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Optimal C-arm Positioning for Aortic Interventions

Part of the Informatik aktuell book series (INFORMAT)

Abstract

Due to the continuous integration of innovative interventional imaging modalities into vascular surgery rooms, there is an urgent need for computer assisted interaction and visualization solutions that support the smooth integration of technological solutions within the surgical workflow. In this paper, we introduce a new paradigm for optimalview controlled maneuvering of Angiographic C-arms during thoracic endovascular aortic repair (TEVAR). This allows the semi-automatic pre-computation of well-defined anatomy-related optimal views based on pre-operative 3D image data and automatic interventional positioning of the imaging device relative to the patient’s anatomy through inverse kinematics and CT to patient registration. Together with our clinical partners, we have evaluated the new technique using 5 patient datasets and are able to show promising results.

Keywords

  • Aortic Arch
  • Compute Tomography Angiography
  • Bifurcation Point
  • Inverse Kinematic
  • Left Subclavian Artery

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_11
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Correspondence to Salvatore Virga .

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Virga, S., Dogeanu, V., Fallavollita, P., Ghotbi, R., Navab, N., Demirci, S. (2015). Optimal C-arm Positioning for Aortic Interventions. 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_11

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  • DOI: https://doi.org/10.1007/978-3-662-46224-9_11

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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)