Carotid atherosclerotic lesion analysis in 3D based on distance encoding in mesh representation
The proposed method enables the extraction of lesion meshes from 3D vessel wall segmentation masks, enabling a correspondence between baseline and one-year follow-up examinations. Unfolding the lesion meshes enhances visualization, while the mesh-based analysis allows quantification of morphologic parameters and an analysis of the signal intensities in the lesion region.
Authors
- Hinrich Rahlfs (ORCID: https://orcid.org/0009-0005-1870-9290)
- Christoph Strecker (ORCID: https://orcid.org/0000-0001-5383-9369)
- Sebastian Schmitter (ORCID: https://orcid.org/0000-0003-4410-6790)
- Anja Hennemuth (ORCID: https://orcid.org/0000-0002-0737-7375)
- Markus Hüllebrand (ORCID: https://orcid.org/0000-0003-4948-0917)
- Andreas Harloff (ORCID: https://orcid.org/0000-0002-3252-7910)
Institutions
- Physikalisch-Technische Bundesanstalt (DE)
- University Medical Center Freiburg (DE)
- Deutsches Herzzentrum der Charité (DE)
- German Centre for Cardiovascular Research (DE)
- Fraunhofer Institute for Digital Medicine (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-06-30
- DOI
- https://doi.org/10.1007/s11548-025-03464-4
- Citations
- 2
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.04
Funders
- Deutsche Forschungsgemeinschaft
- Albert-Ludwigs-Universität Freiburg
- Medizinische Fakultät der Albert-Ludwigs-Universität Freiburg