Depth-based registration of 3D preoperative models to intraoperative patient anatomy using the HoloLens 2
The results show that the depth sensor on the HoloLens 2 can be used for image-to-patient alignment with 1-2 cm accuracy and within 4 s, indicating that with further improvement in the accuracy, this approach can offer a convenient alternative to other time-consuming marker-based approaches. This work provides a generic marker-less registration framework using the depth sensor of the HoloLens 2, with extensive analysis of the sensor's reconstruction and registration accuracy. It supports advancing the research of marker-less registration in surgical navigation.
Authors
- Abdullah Thabit (ORCID: https://orcid.org/0000-0002-0505-2198)
- Theo van Walsum (ORCID: https://orcid.org/0000-0001-8257-7759)
- Tessa van Ginhoven
- Mohamed Benmahdjoub (ORCID: https://orcid.org/0000-0003-1830-2480)
- Pierre Ambrosini (ORCID: https://orcid.org/0000-0003-4900-2501)
- Eppo B. Wolvius (ORCID: https://orcid.org/0000-0002-5159-3497)
- Enzo Kerkhof
Institutions
- Erasmus MC (NL)
- The Netherlands Cancer Institute (NL)
- Oncode Institute (NL)
- Erasmus MC Cancer Institute (NL)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1007/s11548-025-03328-x
- Citations
- 4
- Primary Topic
- Augmented Reality Applications
- Type
- article
- Field-Weighted Citation Impact
- 5.10