Related Experiment Video
Updated: Sep 6, 2025
07:13
Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
Published on: October 27, 2023
1.3K
Multicenter assessment of augmented reality registration methods for image-guided interventions
Ningcheng Li1, Jonathan Wakim2, Yilun Koethe1
1Dotter Department of Interventional Radiology, Oregon Health & Science University School of Medicine, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239, USA.
La Radiologia Medica
|June 23, 2022
Summary
HoloLens 2 significantly speeds up manual 3D model registration for CT-guided interventions, approaching automatic registration times. This advancement is crucial for effective augmented reality navigation in medical procedures.
Area of Science:
- Medical Imaging
- Augmented Reality
- Surgical Navigation
Background:
- Accurate 3D navigation is vital for CT-guided interventions.
- Holographic models require precise alignment for intuitive 3D visualization.
Purpose of the Study:
- Evaluate manual and automatic registration times and accuracies of 3D CT phantom models on HoloLens 2.
- Compare registration performance between HoloLens 1 and HoloLens 2.
Main Methods:
- Eighteen participants registered a 3D CT phantom model onto a CT grid using HoloLens 2.
- Compared registration times and accuracies across different methods, experience levels, and consecutive attempts.
- Retrospectively compared HoloLens 2 registration times to HoloLens 1 data.
Main Results:
- Automatic registration averaged 5.3 seconds; manual methods ranged from 24.3 to 72.8 seconds.
- HoloLens 2 hand gesture registration was 81.7% faster than HoloLens 1.
- No significant difference in registration accuracy was found across manual methods (5.9-9.5 mm).
Conclusions:
- Manual registration on HoloLens 2 is significantly faster, approaching automatic registration speeds.
- Fast and accurate registration of holographic models is essential for AR-assisted 3D navigation in CT-guided interventions.
Keywords:
3D visualizationAugmented realityCT-guided interventionHoloLensInterventional radiologyMixed realityRegistration
