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Towards Automatic Manipulation of Intra-cardiac Echocardiography Catheter

Robotics 2021-02-02 v3 Artificial Intelligence Machine Learning

Abstract

Intra-cardiac Echocardiography (ICE) is a powerful imaging modality for guiding electrophysiology and structural heart interventions. ICE provides real-time observation of anatomy, catheters, and emergent complications. However, this increased reliance on intraprocedural imaging creates a high cognitive demand on physicians who can often serve as interventionalist and imager. We present a robotic manipulator for ICE catheters to assist physicians with imaging and serve as a platform for developing processes for procedural automation. Herein, we introduce two application modules towards these goals: (1) a view recovery process that allows physicians to save views during intervention and automatically return with the push of a button and (2) a data-driven approach to compensate kinematic model errors that result from non-linear behaviors in catheter bending, providing more precise control of the catheter tip. View recovery is validated by repeated catheter positioning in cardiac phantom and animal experiments with position- and image-based analysis. We present a simplified calibration approach for error compensation and verify with complex rotation of the catheter in benchtop and phantom experiments under varying realistic curvature conditions. Results support that a robotic manipulator for ICE can provide an efficient and reproducible tool, potentially reducing execution time and promoting greater utilization of ICE imaging.

Keywords

Cite

@article{arxiv.2009.05859,
  title  = {Towards Automatic Manipulation of Intra-cardiac Echocardiography Catheter},
  author = {Young-Ho Kim and Jarrod Collins and Zhongyu Li and Ponraj Chinnadurai and Ankur Kapoor and C. Huie Lin and Tommaso Mansi},
  journal= {arXiv preprint arXiv:2009.05859},
  year   = {2021}
}