Shape-aware inference scheme for selective extraction of head-neck arteries on computer tomography angiography images
The proposed approach offers an effective solution for extracting blood vessels from 3D medical images, overcoming the limitations of traditional CNN-based methods by preserving vessel continuity and addressing the challenge of class imbalance. This approach enables the selective segmentation of specific arteries in a resource-efficient manner, thereby enhancing the diagnosis and treatment of vascular diseases by providing more accurate vascular segmentations.
Authors
- Elke R. Gizewski (ORCID: https://orcid.org/0000-0001-6859-8377)
- Lukas Neumann (ORCID: https://orcid.org/0000-0003-3263-5724)
- Stephanie Mangesius (ORCID: https://orcid.org/0000-0001-5790-2724)
- Sergiy Pereverzyev (ORCID: https://orcid.org/0000-0002-8627-3995)
- Markus Tiefenthaler (ORCID: https://orcid.org/0000-0001-6319-9182)
Institutions
- Innsbruck Medical University (AT)
- Universität Innsbruck (AT)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1016/j.cmpb.2025.108952
- Citations
- 2
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.04
Funders
- Austrian Science Fund