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Abstract: Multi-Task Framework for X-Ray Guided Planning in Knee Surgery

  • Florian KordonEmail author
  • Peter Fischer
  • Maxim Privalov
  • Benedict Swartman
  • Marc Schnetzke
  • Jochen Franke
  • Ruxandra Lasowski
  • Andreas Maier
  • Holger Kunze
Conference paper
  • 58 Downloads
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

X-ray imaging is frequently used to facilitate planning and operative guidance for surgical interventions. By capturing patient-specific information prior to and during the procedure, such image-based tools benefit a more reliable and minimally invasive workflow at reduced risk for the patient. To this end, typical assessment involves geometric measurements of patient anatomy, verification of correct positioning of surgical tools and implants, as well as navigational guidance with help of anatomical landmarks and bone morphology.

Literatur

  1. 1.
    Kordon F, Fischer P, Privalov M, et al. Multi-task localization and segmentation for x-ray guided planning in knee surgery. Proc Med Image Comput Comput Assist Interv. 2019; p. 622–630.Google Scholar

Copyright information

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

Authors and Affiliations

  • Florian Kordon
    • 1
    • 2
    • 3
    Email author
  • Peter Fischer
    • 1
    • 2
  • Maxim Privalov
    • 4
  • Benedict Swartman
    • 4
  • Marc Schnetzke
    • 4
  • Jochen Franke
    • 4
  • Ruxandra Lasowski
    • 2
  • Andreas Maier
    • 1
  • Holger Kunze
    • 2
  1. 1.Pattern Recognition Lab, Department of Computer ScienceFriedrich-Alexander-Universität Erlangen-NürnbergErlangenDeutschland
  2. 2.Advanced TherapiesSiemens Healthcare GmbHForchheimDeutschland
  3. 3.Faculty of Digital MediaHochschule FurtwangenFurtwangenDeutschland
  4. 4.Department for Trauma and Orthopaedic SurgeryBG Trauma Center LudwigshafenLudwigshafenDeutschland

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