Markerless Registration and Visualization of Volumetric Medical Data for Enhanced Surgical Precision Using Head-Mounted Displays
In surgery, accurate localization of critical structures like blood vessels is crucial, yet current 2D visualization methods limit precision and increase cognitive load for surgeons. This paper introduces a markerless registration approach that uses only sensors in a Head-Mounted Display to align CT/MRI data directly onto the patient in a 3D space. Point clouds extracted from CT/MRI data are registered with world captures from the Head-Mounted Display’s time-of-flight camera, allowing for precise visualization. We evaluated the system using physical measurements on phantoms and compared algorithmic registration to manual alignment. The results show a registration error of approx. 4.87±0.05mm, demonstrating the potential of this technique for preoperative planning and intraoperative support.
Authors
- Artur Jurgas (ORCID: https://orcid.org/0000-0002-9057-9428)
- Andrzej Skalski (ORCID: https://orcid.org/0000-0003-2299-458X)
- Maciej Stanuch (ORCID: https://orcid.org/0000-0002-6764-3815)
- Michał Trojak (ORCID: https://orcid.org/0009-0002-3614-2564)
Institutions
- Jagiellonian University (PL)
- NetApp (United States) (US)
- AGH University of Krakow (PL)
Publication Details
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1109/vrw66409.2025.00189
- Citations
- 1
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 2.01