Publication type: Conference paper
Type of review: Peer review (abstract)
Title: Understanding morphological irregularity : a rater-based study
Authors: Juchler, Norman
Schilling, Sabine
Bijlenga, Philippe
Rüfenacht, Daniel
Kurtcuoglu, Vartan
Hirsch, Sven
et. al: No
Proceedings: CMBE19 Proceedings
Page(s): 583
Conference details: 6th International Conference on Computational and Mathematical Biomedical Engineering (CMBE19), Sendai City, Japan, 10-12 June 2019
Issue Date: 2019
Publisher / Ed. Institution: Zeta Computational Resources
Publisher / Ed. Institution: Cardiff
ISBN: 978-0-9562914-5-5
ISSN: 2227-3085
Language: English
Subjects: Intracranial aneurysms; Morphology
Subject (DDC): 610: Medicine and health
Abstract: The shape of intracranial aneurysms is used by clinicians for risk assessment. It has been suggested that irregular shape is linked to degenerate wall conditions and rupture. With the goal to better characterize shape irregularity, we acquired rating data of 27 participants (9 clinical experts, 18 laypersons) that assessed 134 aneurysms for perceived irregularity. 9 raters additionally examined the presence of 5 morphological attributes. Alongside with quantitative metrics for morphology, we used this rating data to model perceived irregularity. Preliminary results suggest that a combination of quantitative and qualitative shape assessment may characterize perceived irregularity the best.
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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