Motion compensation for interventional navigation on 3D static roadmaps based on an affine model and gating

Holger Timinger1, Sascha Krueger, Joern Borgert

  • 1Department of Measurement, Control and Microtechnology, University of Ulm, Albert-Einstein-Allee 41, 89081 Ulm, Germany. holger.timinger@philips.com

Insights

This study introduces a new method for cardiac interventions, enabling precise catheter navigation on 3D roadmaps. It reduces risks associated with 2D fluoroscopy, like x-ray exposure and contrast agents.

Area of Science:

  • Medical Imaging
  • Interventional Cardiology
  • Biomedical Engineering

Background:

  • Current cardiac interventions rely on 2D fluoroscopy, posing risks like radiation exposure and contrast agent use.
  • 2D imaging complicates navigation of complex cardiac structures, with limited catheter visibility.

Purpose of the Study:

  • To develop a novel method for cardiac interventional navigation using motion-compensated 3D static roadmaps.
  • To overcome the limitations of traditional 2D fluoroscopy in cardiac procedures.

Main Methods:

  • Catheter position is continuously reconstructed on a pre-acquired 3D coronary roadmap.
  • Respiratory motion is compensated using an affine motion model.
  • Cardiac motion is addressed by gating catheter positions to the heart's rest phase.
  • Magnetic tracking or image-based methods measure catheter position.

Main Results:

  • The method enables precise catheter reconstruction on 3D static roadmaps.
  • Evaluated on a dynamic heart phantom, the algorithm achieved a residual motion of 1.0 mm or less.
  • Demonstrated effective motion compensation for improved navigation accuracy.

Conclusions:

  • The presented technique offers a promising alternative to 2D fluoroscopy for cardiac interventions.
  • Motion-compensated 3D roadmaps enhance navigation precision and potentially reduce procedural risks.

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