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Updated: Jun 18, 2026

Non-fluoroscopic Catheter Tracking for Fluoroscopy Reduction in Interventional Electrophysiology

Non-fluoroscopic Catheter Tracking for Fluoroscopy Reduction in Interventional Electrophysiology

Published on: May 26, 2015

Catheter localization in the left atrium using an outdated anatomic reference for guidance.

Aditya B Koolwal¹, Federico Barbagli, Christopher R Carlson

¹Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

Summary

This summary is machine-generated.

This study introduces a novel method for real-time ultrasound registration to left atrial surface models. The technique accurately maps intracardiac echo data to mesh models, improving catheter navigation during procedures.

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Catheter Ablation in Combination With Left Atrial Appendage Closure for Atrial Fibrillation

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Published on: February 26, 2013

Area of Science:

Medical Imaging
Computational Anatomy
Surgical Navigation

Background:

Accurate visualization of cardiac anatomy is crucial for guiding interventions.
Existing surface mesh models of the left atrium may not precisely match real-time anatomy.
Real-time catheter tracking within these models is essential for procedural safety and efficacy.

Purpose of the Study:

To develop and validate a method for registering real-time ultrasound images of the left atrium to a pre-existing surface mesh model.
To account for geometric discrepancies between the surface mesh and the actual anatomy.
To enable accurate visualization and guidance of catheter-based procedures within the left atrium.

Main Methods:

Utilizing an intracardiac echo (ICE) catheter with an electromagnetic position/orientation sensor (EPS).
Acquiring real-time ICE images and determining optimal ICE catheter positioning relative to the surface mesh.
Employing an affine warping model to quantify and correct shape differences between the atrium and the mesh.
Iteratively solving for atrium-to-mesh warping parameters to ensure accurate tissue contact representation.

Main Results:

The registration and warping algorithm successfully displayed EPS-sensorized catheters within the surface mesh.
Accurate localization of EPS measurements was achieved within the surface mesh, even with significant mesh shape variations (+/-20%).
The system demonstrated improved accuracy with continuous data acquisition due to its iterative estimation framework.
Tissue contact in the anatomy was accurately reflected as tissue contact in the mesh.

Conclusions:

The developed method enables effective registration of real-time ultrasound data to surface mesh models of the left atrium.
This approach enhances the accuracy of catheter localization and guidance for left atrial interventions.
The iterative and continuous nature of the algorithm allows for progressively more precise anatomical representation and tracking.