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

ABSTRACT: Extended reality (XR) technologies are emerging as promising platforms for medical training and procedural guidance, particularly in complex cardiac interventions. This paper presents a high-fidelity methodology to perform real-time 3D catheter tracking and visualization during simulated cardiac interventions. A custom 3D-printed setup with mounted cameras enables biplane video capture of a catheter. A computer vision algorithm processes the biplane images in real-time to reconstruct the 3D catheter trajectory represented by any designated number of points along its length. This method accurately localizes the catheter tip within 1 mm and can reconstruct any arbitrary catheter configuration. The tracked catheter data is integrated into an interactive Unity-based scene rendered on the Meta

SUBMITTER: Annabestani M 

PROVIDER: S-EPMC11542031 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature