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Author Spotlight: Advancing Human Cardiac Anatomy Through Multi-Scale Analysis of Hearts

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High-fidelity pose estimation for real-time extended reality (XR) visualization for cardiac catheterization.

Mohsen Annabestani¹, Sandhya Sriram^2,3,4, Alexandre Caprio¹

¹Dalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY, USA.

Scientific Reports

|November 6, 2024

Summary

Extended reality (XR) enhances cardiac intervention training by providing real-time 3D catheter tracking and visualization. This immersive technology improves procedural speed and user experience compared to traditional 2D methods.

Keywords:

3D visualization Computer vision Extended reality Mixed reality Percutaneous cardiac intervention

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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

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Published on: April 11, 2025

Area of Science:

Medical Simulation
Computer Vision
Extended Reality (XR)

Background:

Extended reality (XR) offers potential for advanced medical training.
Complex cardiac interventions require precise catheter navigation and visualization.

Purpose of the Study:

To develop and evaluate a high-fidelity XR system for real-time 3D catheter tracking and visualization during simulated cardiac interventions.
To compare the effectiveness of XR visualization against 2D methods in a training context.

Main Methods:

A custom 3D-printed setup with biplane cameras captured catheter video.
A computer vision algorithm reconstructed the 3D catheter trajectory in real-time.
Tracked data was integrated into a Unity-based XR environment (Meta Quest 3) with patient-specific heart models.

Main Results:

The system achieved accurate catheter tip localization (<1 mm) and arbitrary configuration reconstruction.
Six participants demonstrated significantly faster performance and better user experience with the 3D XR visualization compared to 2D.
The XR system successfully created an immersive training environment combining patient-specific anatomy and dynamic catheter visualization.

Conclusions:

The proposed XR system provides a high-fidelity solution for real-time 3D catheter tracking and visualization in medical training.
XR technology shows significant potential to enhance spatial comprehension and procedural skills in catheterization training.
This approach could transform percutaneous cardiac interventions through improved visualization and interactivity.