Spinal navigation with AI-driven 3D-reconstruction of fluoroscopy images: an ex-vivo feasibility study
Spinal navigation using the X23D-based approach shows promise and performs well in a realistic surgical ex-vivo setting. With further refinements, its accuracy is expected to match clinical-grade navigation systems while reducing radiation dose.
Authors
- Aidana Massalimova (ORCID: https://orcid.org/0000-0002-6203-1270)
- Mazda Farshad (ORCID: https://orcid.org/0000-0002-7190-1127)
- Hooman Esfandiari (ORCID: https://orcid.org/0000-0003-2572-1798)
- Nicola Cavalcanti (ORCID: https://orcid.org/0009-0006-0674-0773)
- Sascha Jecklin (ORCID: https://orcid.org/0000-0001-6529-487X)
- Dietmar Luchmann
- Philipp Fürnstahl (ORCID: https://orcid.org/0000-0001-6484-6206)
- Christoph Johannes Laux (ORCID: https://orcid.org/0000-0002-5446-3057)
Institutions
- University of Zurich (CH)
- University Hospital of Zurich (CH)
- Universitätsklinik Balgrist (CH)
Publication Details
- Journal
- BMC Musculoskeletal Disorders
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1186/s12891-024-08052-2
- Citations
- 13
- Primary Topic
- Spinal Fractures and Fixation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 7.45