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https://doi.org/10.21256/zhaw-25387| Publication type: | Conference paper |
| Type of review: | Peer review (abstract) |
| Title: | Exploring intracranial aneurysm instability markers to improve disease modeling |
| Authors: | Dupuy, Nicolas Juchler, Norman Morel, Sandrine Kwak, Brenda R. Hirsch, Sven Bijlenga, Philippe |
| et. al: | No |
| DOI: | 10.21256/zhaw-25387 |
| Proceedings: | CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering |
| Editors of the parent work: | Nithiarasu, Perumal Vergara, Christian |
| Volume(Issue): | 1 |
| Page(s): | 14 |
| Pages to: | 17 |
| Conference details: | 7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022 |
| Issue Date: | 2022 |
| Publisher / Ed. Institution: | Computational and Mathematical Biomedical Engineering |
| ISBN: | 978-0-9562914-6-2 |
| ISSN: | 2227-3085 2227-9385 |
| Language: | English |
| Subjects: | Intracranial aneurysm; Morphology; Wall aspect; Wall thickness |
| Subject (DDC): | 005: Computer programming, programs and data 616: Internal medicine and diseases |
| Abstract: | Intracranial aneurysm (IA) shape is proposed to be a predicting factor of rupture. In this study, using 3D-angiographies, surgical and histological images, we ranked 11 IAs according to different characteristics (homogeneity, aspect and thickness), and correlations between the different ranking systems were investigated. We showed positive correlations between IA morphology (normalized total Gaussian curvature, GLN) and wall aspect ranking, and between GLN and histology ranking. Correlations between increased GLN, inhomogeneity of IA wall aspect and thickness were shown. This exploratory study supports the GLN in its ability to quantify IA shape and to be used as an IA wall feature predictor. |
| Further description: | Proceedings: https://www.compbiomed.net/2021/cmbe-proceedings.htm |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/25387 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | Life Sciences and Facility Management |
| Organisational Unit: | Institute of Computational Life Sciences (ICLS) |
| Published as part of the ZHAW project: | AneuX |
| Appears in collections: | Publikationen Life Sciences und Facility Management |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2022_Dupuy-etal_Intracranial-aneurysm-instability-markers_CMBE.pdf | 1.01 MB | Adobe PDF |  View/Open |
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Dupuy, N., Juchler, N., Morel, S., Kwak, B. R., Hirsch, S., & Bijlenga, P. (2022). Exploring intracranial aneurysm instability markers to improve disease modeling [Conference paper]. In P. Nithiarasu & C. Vergara (Eds.), CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering (Vol. 1, pp. 14–17). Computational and Mathematical Biomedical Engineering. https://doi.org/10.21256/zhaw-25387
Dupuy, N. et al. (2022) ‘Exploring intracranial aneurysm instability markers to improve disease modeling’, in P. Nithiarasu and C. Vergara (eds) CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering. Computational and Mathematical Biomedical Engineering, pp. 14–17. Available at: https://doi.org/10.21256/zhaw-25387.
N. Dupuy, N. Juchler, S. Morel, B. R. Kwak, S. Hirsch, and P. Bijlenga, “Exploring intracranial aneurysm instability markers to improve disease modeling,” in CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, 2022, vol. 1, pp. 14–17. doi: 10.21256/zhaw-25387.
DUPUY, Nicolas, Norman JUCHLER, Sandrine MOREL, Brenda R. KWAK, Sven HIRSCH und Philippe BIJLENGA, 2022. Exploring intracranial aneurysm instability markers to improve disease modeling. In: Perumal NITHIARASU und Christian VERGARA (Hrsg.), CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering. Conference paper. Computational and Mathematical Biomedical Engineering. 2022. S. 14–17. ISBN 978-0-9562914-6-2
Dupuy, Nicolas, Norman Juchler, Sandrine Morel, Brenda R. Kwak, Sven Hirsch, and Philippe Bijlenga. 2022. “Exploring Intracranial Aneurysm Instability Markers to Improve Disease Modeling.” Conference paper. In CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, edited by Perumal Nithiarasu and Christian Vergara, 1:14–17. Computational and Mathematical Biomedical Engineering. https://doi.org/10.21256/zhaw-25387.
Dupuy, Nicolas, et al. “Exploring Intracranial Aneurysm Instability Markers to Improve Disease Modeling.” CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, edited by Perumal Nithiarasu and Christian Vergara, vol. 1, Computational and Mathematical Biomedical Engineering, 2022, pp. 14–17, https://doi.org/10.21256/zhaw-25387.
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