29 May 2024 Phantom study of augmented reality framework to assist epicardial punctures
Kobe Bamps, Jeroen Bertels, Lennert Minten, Alexis Puvrez, Walter Coudyzer, Stijn De Buck, Joris Ector
Author Affiliations +
Abstract

Purpose

The objective of this study is to evaluate the accuracy of an augmented reality (AR) system in improving guidance, accuracy, and visualization during the subxiphoidal approach for epicardial ablation.

Approach

An AR application was developed to project real-time needle trajectories and patient-specific 3D organs using the Hololens 2. Additionally, needle tracking was implemented to offer real-time feedback to the operator, facilitating needle navigation. The AR application was evaluated through three different experiments: examining overlay accuracy, assessing puncture accuracy, and performing pre-clinical evaluations on a phantom.

Results

The results of the overlay accuracy assessment for the AR system yielded 2.36±2.04 mm. Additionally, the puncture accuracy utilizing the AR system yielded 1.02±2.41 mm. During the pre-clinical evaluation on the phantom, needle puncture with AR guidance showed 7.43±2.73 mm, whereas needle puncture without AR guidance showed 22.62±9.37 mm.

Conclusions

Overall, the AR platform has the potential to enhance the accuracy of percutaneous epicardial access for mapping and ablation of cardiac arrhythmias, thereby reducing complications and improving patient outcomes. The significance of this study lies in the potential of AR guidance to enhance the accuracy and safety of percutaneous epicardial access.

© 2024 Society of Photo-Optical Instrumentation Engineers (SPIE)
Kobe Bamps, Jeroen Bertels, Lennert Minten, Alexis Puvrez, Walter Coudyzer, Stijn De Buck, and Joris Ector "Phantom study of augmented reality framework to assist epicardial punctures," Journal of Medical Imaging 11(3), 035002 (29 May 2024). https://doi.org/10.1117/1.JMI.11.3.035002
Received: 19 December 2023; Accepted: 15 May 2024; Published: 29 May 2024
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KEYWORDS
Augmented reality

Autoregressive models

Error analysis

Head-mounted displays

Calibration

Computed tomography

Skin

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