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dc.contributor.authorJuchler, Norman-
dc.contributor.authorSchilling, Sabine-
dc.contributor.authorBijlenga, Philippe-
dc.contributor.authorRüfenacht, Daniel-
dc.contributor.authorKurtcuoglu, Vartan-
dc.contributor.authorHirsch, Sven-
dc.date.accessioned2019-10-23T14:33:35Z-
dc.date.available2019-10-23T14:33:35Z-
dc.date.issued2019-
dc.identifier.isbn978-0-9562914-5-5de_CH
dc.identifier.issn2227-3085de_CH
dc.identifier.issn2227-9385de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/18566-
dc.description.abstractThe 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.de_CH
dc.language.isoende_CH
dc.publisherZeta Computational Resourcesde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectIntracranial aneurysmsde_CH
dc.subjectMorphologyde_CH
dc.subject.ddc610: Medizin und Gesundheitde_CH
dc.titleUnderstanding morphological irregularity : a rater-based studyde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
zhaw.publisher.placeCardiffde_CH
zhaw.conference.details6th International Conference on Computational and Mathematical Biomedical Engineering (CMBE19), Sendai City, Japan, 10-12 June 2019de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start583de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.title.proceedingsCMBE19 Proceedingsde_CH
zhaw.webfeedBiomedical Simulationde_CH
zhaw.webfeedMedical Image Analysis & Data Modelingde_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedDigital Health Labde_CH
zhaw.funding.zhawAneuXde_CH
zhaw.author.additionalNode_CH
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Juchler, N., Schilling, S., Bijlenga, P., Rüfenacht, D., Kurtcuoglu, V., & Hirsch, S. (2019). Understanding morphological irregularity : a rater-based study [Conference paper]. CMBE19 Proceedings, 583.
Juchler, N. et al. (2019) ‘Understanding morphological irregularity : a rater-based study’, in CMBE19 Proceedings. Cardiff: Zeta Computational Resources, p. 583.
N. Juchler, S. Schilling, P. Bijlenga, D. Rüfenacht, V. Kurtcuoglu, and S. Hirsch, “Understanding morphological irregularity : a rater-based study,” in CMBE19 Proceedings, 2019, p. 583.
JUCHLER, Norman, Sabine SCHILLING, Philippe BIJLENGA, Daniel RÜFENACHT, Vartan KURTCUOGLU und Sven HIRSCH, 2019. Understanding morphological irregularity : a rater-based study. In: CMBE19 Proceedings. Conference paper. Cardiff: Zeta Computational Resources. 2019. S. 583. ISBN 978-0-9562914-5-5
Juchler, Norman, Sabine Schilling, Philippe Bijlenga, Daniel Rüfenacht, Vartan Kurtcuoglu, and Sven Hirsch. 2019. “Understanding Morphological Irregularity : A Rater-Based Study.” Conference paper. In CMBE19 Proceedings, 583. Cardiff: Zeta Computational Resources.
Juchler, Norman, et al. “Understanding Morphological Irregularity : A Rater-Based Study.” CMBE19 Proceedings, Zeta Computational Resources, 2019, p. 583.


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