Temporal Estimation of the 3d Guide-Wire Position Using 2d X-ray Images

  • Authors:

  • Marcel Brückner;Frank Deinzer;Joachim Denzler

  • Affiliations:

  • Chair of Computer Vision, Friedrich Schiller University of Jena, Germany;Healthcare Sector, Germany, Siemens AG, University of Applied Sciences, Würzburg-Schweinfurt, Germany;Chair of Computer Vision, Friedrich Schiller University of Jena, Germany

  • Venue:
  • MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
  • Year:
  • 2009

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Abstract

We present a method for realtime online 3d reconstruction of a guide-wire or catheter using 2d X-ray images, which do not have to be recorded from different viewpoints. No special catheters or sensors are needed. Given a 3d patient data set and the projection parameters, we use recursive probability density propagation to estimate a probability distribution of the current positions of guide-wire parts. Based on this distribution, we extract the optimal guide-wire position using regularization techniques. We describe the guide-wire position by a uniform cubic B-spline. Experiments on simulated and phantom data demonstrate the high accuracy and robustness of our approach.