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Towards Automatic Manipulation of Intra-cardiac Echocardiography Catheter

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arxiv 2009.05859 v3 pith:KMB7BYYD submitted 2020-09-12 cs.RO cs.AIcs.LG

classification cs.ROcs.AIcs.LG
keywords catheterimagingphysiciansapproachcathetersechocardiographyexperimentsintra-cardiac
verification ladder T0 review T1 audit T2 compute T3 formal

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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Guidance for Intra-cardiac Echocardiography Manipulation to Maintain Continuous Therapy Device Tip Visibility

    eess.IV 2025-05 reject novelty 5.0 of 10

    A transformer-based model trained on hybrid synthetic and water-tank ICE data predicts catheter tip entry angle, rotation angle, and location, but the reported accuracy numbers conflict between the abstract and the re...

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