Toward automatic C-arm positioning for standard projections in orthopedic surgery.

Journal: International journal of computer assisted radiology and surgery
Published Date: Jun 12, 2020

Abstract

PURPOSE: Guidance and quality control in orthopedic surgery increasingly rely on intra-operative fluoroscopy using a mobile C-arm. The accurate acquisition of standardized and anatomy-specific projections is essential in this process. The corresponding iterative positioning of the C-arm is error prone and involves repeated manual acquisitions or even continuous fluoroscopy. To reduce time and radiation exposure for patients and clinical staff and to avoid errors in fracture reduction or implant placement, we aim at guiding-and in the long-run automating-this procedure.

Authors

  • Lisa Kausch
    Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany. l.kausch@dkfz-heidelberg.de.
  • Sarina Thomas
    Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.
  • Holger Kunze
    Imaging and Therapy Systems Division, Siemens Healthineers, Erlangen, Germany.
  • Maxim Privalov
    Medical Imaging and Navigation in Trauma and Orthopedic Suregery Research group, BG Trauma Center, Ludwigshafen, Germany.
  • Sven Vetter
    Medical Imaging and Navigation in Trauma and Orthopedic Suregery Research group, BG Trauma Center, Ludwigshafen, Germany.
  • Jochen Franke
    Medical Imaging and Navigation in Trauma and Orthopedic Suregery Research group, BG Trauma Center, Ludwigshafen, Germany.
  • Andreas H Mahnken
    Division of Diagnostic and Interventional Radiology, Universitätsklinikum Marburg, Marburg, Germany.
  • Lena Maier-Hein
    German Cancer Research Center (DKFZ), Computer Assisted Medical Interventions, Heidelberg, Germany.
  • Klaus Maier-Hein
    Medical Image Analysis, Division Medical Image Computing, DKFZ Heidelberg, Germany.

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