A novel 3D image registration technique for augmented reality vision in minimally invasive thoracoscopic pulmonary segmentectomy
An algorithm was developed transforming the operative field into a 3D point cloud surface. This allowed for an accurate registration and visualization of preoperative 3D models. Using this system, surgeons can navigate through the patient's anatomy intraoperatively, especially during crucial moments, by visualizing otherwise invisible structures. This proposed registration method lays the groundwork for automated intraoperative AR navigation during minimally invasive pulmonary resections.
Authors
- Ad J.J.C. Bogers (ORCID: https://orcid.org/0000-0001-6200-1998)
- Xucong Zhang (ORCID: https://orcid.org/0000-0002-8368-3542)
- Klaus Hildebrandt (ORCID: https://orcid.org/0000-0002-9196-3923)
- Edris A.F. Mahtab (ORCID: https://orcid.org/0000-0003-2647-5509)
- Jette J. Peek (ORCID: https://orcid.org/0000-0002-8412-2851)
- Amir H. Sadeghi (ORCID: https://orcid.org/0000-0002-6118-2341)
- Samuel A Max (ORCID: https://orcid.org/0000-0002-8179-3924)
Institutions
- Leiden University Medical Center (NL)
- Erasmus MC (NL)
- University Medical Center Utrecht (NL)
- Erasmus University Rotterdam (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1007/s11548-024-03308-7
- Citations
- 6
- Primary Topic
- Augmented Reality Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.50