Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25388
Publication type: Conference paper
Type of review: Peer review (abstract)
Title: Modeling the location-dependency of aneurysm shape : a morphometric comparative study
Authors: Juchler, Norman
Bijlenga, Philippe
Hirsch, Sven
et. al: No
DOI: 10.21256/zhaw-25388
Proceedings: CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering
Editors of the parent work: Nithiarasu, Perumal
Vergara, Christian
Volume(Issue): 2
Page(s): 703
Pages to: 705
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; Location-dependency; Circle of Willis
Subject (DDC): 005: Computer programming, programs and data
616: Internal medicine and diseases
Abstract: The typical characteristics of intracranial aneurysms vary for different anatomic locations. Here, we study the location-dependent variability of aneurysm shape, and propose means to model and visualize this variability. We further elaborate to which extent the configuration of the cerebral vasculature could affect the outcome of an aneurysmal lesion.
Further description: Proceedings: https://www.compbiomed.net/2021/cmbe-proceedings.htm
URI: https://digitalcollection.zhaw.ch/handle/11475/25388
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
Deep Brain Vessel Profiler
Appears in collections:Publikationen Life Sciences und Facility Management

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Juchler, N., Bijlenga, P., & Hirsch, S. (2022). Modeling the location-dependency of aneurysm shape : a morphometric comparative study [Conference paper]. In P. Nithiarasu & C. Vergara (Eds.), CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering (Vol. 2, pp. 703–705). Computational & Mathematical Biomedical Engineering. https://doi.org/10.21256/zhaw-25388
Juchler, N., Bijlenga, P. and Hirsch, S. (2022) ‘Modeling the location-dependency of aneurysm shape : a morphometric comparative study’, in P. Nithiarasu and C. Vergara (eds) CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering. Computational & Mathematical Biomedical Engineering, pp. 703–705. Available at: https://doi.org/10.21256/zhaw-25388.
N. Juchler, P. Bijlenga, and S. Hirsch, “Modeling the location-dependency of aneurysm shape : a morphometric comparative study,” in CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, 2022, vol. 2, pp. 703–705. doi: 10.21256/zhaw-25388.
JUCHLER, Norman, Philippe BIJLENGA und Sven HIRSCH, 2022. Modeling the location-dependency of aneurysm shape : a morphometric comparative study. In: Perumal NITHIARASU und Christian VERGARA (Hrsg.), CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering. Conference paper. Computational & Mathematical Biomedical Engineering. 2022. S. 703–705. ISBN 978-0-9562914-6-2
Juchler, Norman, Philippe Bijlenga, and Sven Hirsch. 2022. “Modeling the Location-Dependency of Aneurysm Shape : A Morphometric Comparative Study.” Conference paper. In CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, edited by Perumal Nithiarasu and Christian Vergara, 2:703–5. Computational & Mathematical Biomedical Engineering. https://doi.org/10.21256/zhaw-25388.
Juchler, Norman, et al. “Modeling the Location-Dependency of Aneurysm Shape : A Morphometric Comparative Study.” CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, edited by Perumal Nithiarasu and Christian Vergara, vol. 2, Computational & Mathematical Biomedical Engineering, 2022, pp. 703–5, https://doi.org/10.21256/zhaw-25388.


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