Semi-automatic segmentation of elongated interventional instruments for online calibration of C-arm imaging system.

Journal: International journal of computer assisted radiology and surgery
Published Date:

Abstract

PURPOSE: The C-arm biplane imaging system, designed for cerebral angiography, detects pathologies like aneurysms using dual rotating detectors for high-precision, real-time vascular imaging. However, accuracy can be affected by source-detector trajectory deviations caused by gravitational artifacts and mechanical instabilities. This study addresses calibration challenges and suggests leveraging interventional devices with radio-opaque markers to optimize C-arm geometry.

Authors

  • Negar Chabi
    Faculty of Computer Science, Otto-von-Guericke University, Universitätsplatz 2, 39106, Magdeburg, Germany. negar.chabi@isg.cs.ovgu.de.
  • Alfredo Illanes
    Department of Medical Engineering, Otto-von-Guericke University Magdeburg, 39106 Magdeburg, Germany.
  • Oliver Beuing
    Department for Radiology, AMEOS Hospital Bernburg, Germany.
  • Daniel Behme
    University Clinic for Neuroradiology, Otto von Guericke University, Magdeburg, Germany.
  • Bernhard Preim
    Department of Simulation and Graphics, Otto von Guericke University Magdeburg, Germany; Research Campus STIMULATE, Otto von Guericke University Magdeburg, Germany.
  • Sylvia Saalfeld
    Department of Simulation and Graphics, Otto von Guericke University Magdeburg, Germany; Research Campus STIMULATE, Otto von Guericke University Magdeburg, Germany.

Keywords

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