An Artificial Intelligence-Based Automatic Classifier for the Presence of False Lumen Thrombosis After Frozen Elephant Trunk Operation
The presence and absence of a FL thrombus can be automatically classified by the 2D CNN VAE for patient-specific CTA image datasets. As FL thrombosis is an indication for positive aortic remodeling, evaluation of FL status is essential in follow-up examinations. The presented proof-of-concept is promising for the automated classification and quantification of FL thrombosis.
Authors
- Anja Oßwald (ORCID: https://orcid.org/0000-0002-2315-880X)
- Arjang Ruhparwar (ORCID: https://orcid.org/0000-0003-2725-9912)
- Matthias Thielmann (ORCID: https://orcid.org/0000-0002-1007-2871)
- Konstantinos Tsagakis (ORCID: https://orcid.org/0000-0002-8984-6779)
- Christof Karmonik (ORCID: https://orcid.org/0000-0002-6695-9535)
- Alan B. Lumsden (ORCID: https://orcid.org/0009-0005-9620-5274)
Institutions
- Houston Methodist (US)
- West German Heart and Vascular Center Essen (DE)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-12-18
- DOI
- https://doi.org/10.3390/diagnostics14242853
- Citations
- 3
- Primary Topic
- Aortic aneurysm repair treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.26
Funders
- Deutsche Forschungsgemeinschaft