1. ZHAW digitalcollection
  2. Life Sciences und Facility Management
  3. Publikationen
  4. Publikationen Life Sciences und Facility Management
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJuchler, Norman-
dc.contributor.authorSchilling, Sabine-
dc.contributor.authorBijlenga, Philippe-
dc.contributor.authorKurtcuoglu, Vartan-
dc.contributor.authorHirsch, Sven-
dc.date.accessioned2018-10-23T14:38:28Z-
dc.date.available2018-10-23T14:38:28Z-
dc.date.issued2017-09-07-
dc.identifier.isbn978-3-906327-94-5de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/12076-
dc.description.abstractThe rupture of intracranial aneurysms is a potentially deadly event. Aneurysm detection is based on imaging techniques, amongst which 3D angiograms deliver the highest quality. Currently, neuroradiologists assess such images only in a qualitative manner, even though it remains unclear how morphological properties relate to the disease status quantitatively. In an effort to identify suitable descriptors that capture the irregularity of aneurysms, we relate a range of shape descriptors to expert assessments of aneurysm morphology. In a first step, we extracted 3D models of aneurysms from 3D angiographies and calculated geometry indices and moment invariants describing size and shape of aneurysms and surrounding arteries. In a second step, we compared these descriptors to human assessments of irregularity of the aneurysm dome. Preliminary results are presented based on 134 aneurysm models and 15 raters (5 clinicians, 10 informed laymen). Univariate correlation revealed that curvature-based metrics predict most accurately the human assessment of irregularity (rank correlation: ?=0.86). This study was performed within the scope of the AneuX project, funded by SystemsX.ch, and received support by SNSF NCCR Kidney.CH. de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectMorphologyde_CH
dc.subjectIntracranial aneurysmsde_CH
dc.subject.ddc616: Innere Medizin und Krankheitende_CH
dc.titleMeasuring the perceived morphological complexity of intracranial aneurysmsde_CH
dc.typeKonferenz: Posterde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.3929/ethz-b-000176201de_CH
zhaw.conference.detailsSystemsX.ch Conference, Zurich, 4-7 September 2017de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start160de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.title.proceedingsAbstract Book, 3rd International SystemsX.ch Conference on Systems Biologyde_CH
zhaw.webfeedBiomedical Simulationde_CH
zhaw.webfeedMedical Image Analysis and Data Modelingde_CH
zhaw.funding.zhawAneuXde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

Files in This Item:
There are no files associated with this item.
Show simple item record
Juchler, N., Schilling, S., Bijlenga, P., Kurtcuoglu, V., & Hirsch, S. (2017). Measuring the perceived morphological complexity of intracranial aneurysms [Conference poster]. Abstract Book, 3rd International SystemsX.ch Conference on Systems Biology, 160. https://doi.org/10.3929/ethz-b-000176201
Juchler, N. et al. (2017) ‘Measuring the perceived morphological complexity of intracranial aneurysms’, in Abstract Book, 3rd International SystemsX.ch Conference on Systems Biology, p. 160. Available at: https://doi.org/10.3929/ethz-b-000176201.
N. Juchler, S. Schilling, P. Bijlenga, V. Kurtcuoglu, and S. Hirsch, “Measuring the perceived morphological complexity of intracranial aneurysms,” in Abstract Book, 3rd International SystemsX.ch Conference on Systems Biology, Sep. 2017, p. 160. doi: 10.3929/ethz-b-000176201.
JUCHLER, Norman, Sabine SCHILLING, Philippe BIJLENGA, Vartan KURTCUOGLU und Sven HIRSCH, 2017. Measuring the perceived morphological complexity of intracranial aneurysms. In: Abstract Book, 3rd International SystemsX.ch Conference on Systems Biology. Conference poster. 7 September 2017. S. 160. ISBN 978-3-906327-94-5
Juchler, Norman, Sabine Schilling, Philippe Bijlenga, Vartan Kurtcuoglu, and Sven Hirsch. 2017. “Measuring the Perceived Morphological Complexity of Intracranial Aneurysms.” Conference poster. In Abstract Book, 3rd International SystemsX.ch Conference on Systems Biology, 160. https://doi.org/10.3929/ethz-b-000176201.
Juchler, Norman, et al. “Measuring the Perceived Morphological Complexity of Intracranial Aneurysms.” Abstract Book, 3rd International SystemsX.ch Conference on Systems Biology, 2017, p. 160, https://doi.org/10.3929/ethz-b-000176201.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.