Please use this identifier to cite or link to this item: 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 & 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.
URI: https://www.compbiomed.net/getfile.php?type=16/site_documents&id=CMBE%202022%20Proceedings%20volume1.pdf
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

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