Acquiring submillimeter-accurate multi-task vision datasets for computer-assisted orthopedic surgery
The proposed method results in submillimeter-accurate 3D ground truths and surgical images with a spatial resolution of 0.1 mm. This opens the door to acquiring future surgical datasets for high-precision applications.
Authors
- Fabio Carrillo (ORCID: https://orcid.org/0000-0002-0942-0277)
- Lilian Calvet (ORCID: https://orcid.org/0000-0002-2565-2297)
- E. Most
- Baptiste Brument (ORCID: https://orcid.org/0009-0004-5372-2215)
- Jonas Hein (ORCID: https://orcid.org/0000-0003-0670-0828)
- Nicola Cavalcanti (ORCID: https://orcid.org/0009-0006-0674-0773)
- Philipp Fürnstahl (ORCID: https://orcid.org/0000-0001-6484-6206)
- Lukas Zingg (ORCID: https://orcid.org/0009-0002-7205-5257)
- Frédéric Giraud (ORCID: https://orcid.org/0000-0003-1490-7466)
- Nino Louman
Institutions
- University of Zurich (CH)
- ETH Zurich (CH)
- University Hospital of Zurich (CH)
- Institut de Recherche en Informatique de Toulouse (FR)
- Universitätsklinik Balgrist (CH)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1007/s11548-025-03385-2
- Citations
- 2
- Primary Topic
- Advanced Vision and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.55
Funders
- Eidgenössische Technische Hochschule Zürich
- Innosuisse - Schweizerische Agentur für Innovationsförderung