Improving automatic cerebral 3D-2D CTA-DSA registration
DeepIterReg demonstrates promising performance for 3D-to-2D stroke intervention image registration, potentially aiding clinicians by improving spatial understanding during EVT and reducing dependence on manual adjustments.
Authors
- Xucong Zhang (ORCID: https://orcid.org/0000-0002-8368-3542)
- Theo van Walsum (ORCID: https://orcid.org/0000-0001-8257-7759)
- Charles A. Downs (ORCID: https://orcid.org/0000-0003-4859-7929)
- Sandra Cornelissen (ORCID: https://orcid.org/0000-0002-0332-2158)
- Ruisheng Su (ORCID: https://orcid.org/0000-0002-5013-1370)
- Vivek Gopalakrishnan (ORCID: https://orcid.org/0000-0003-4349-8526)
- P Matthijs van der Sluijs
- Wim H van Zwam
- Frank G. te Nijenhuis (ORCID: https://orcid.org/0009-0003-1321-5836)
Institutions
- Erasmus MC (NL)
- Maastricht University (NL)
- Massachusetts Institute of Technology (US)
- Eindhoven University of Technology (NL)
- Erasmus University Rotterdam (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1007/s11548-025-03412-2
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00