perfDSA: Automatic Perfusion Imaging in Cerebral Digital Subtraction Angiography
The proposed perfDSA framework promises to aid therapeutic decision-making in cerebrovascular interventions and facilitate discoveries of novel quantitative biomarkers in clinical practice. The code is available at https://github.com/RuishengSu/perfDSA .
Authors
- Aad van der Lugt (ORCID: https://orcid.org/0000-0002-6159-2228)
- Wim H. van Zwam (ORCID: https://orcid.org/0000-0003-1631-7056)
- Theo van Walsum (ORCID: https://orcid.org/0000-0001-8257-7759)
- Sandra Cornelissen (ORCID: https://orcid.org/0000-0002-0332-2158)
- Ruisheng Su (ORCID: https://orcid.org/0000-0002-5013-1370)
- Josien P. W. Pluim (ORCID: https://orcid.org/0000-0001-7327-9178)
- Daniël Ruijters (ORCID: https://orcid.org/0000-0002-9931-4047)
- P Matthijs van der Sluijs
- Bob Roozenbeek (ORCID: https://orcid.org/0000-0002-8320-8303)
- Flavius-Gabriel Marc
- Frank G. te Nijenhuis (ORCID: https://orcid.org/0009-0003-1321-5836)
Institutions
- Erasmus MC (NL)
- Maastricht University (NL)
- Philips (Netherlands) (NL)
- Eindhoven University of Technology (NL)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1007/s11548-025-03359-4
- Citations
- 2
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 2.71
Funders
- Health~Holland
- Amsterdam University Medical Centers
- Universiteit Maastricht
- Maastricht Universitair Medisch Centrum