| Publikationstyp: | Konferenz: Poster |
| Art der Begutachtung: | Peer review (Abstract) |
| Titel: | Measuring the perceived morphological complexity of intracranial aneurysms |
| Autor/-in: | Juchler, Norman Schilling, Sabine Bijlenga, Philippe Kurtcuoglu, Vartan Hirsch, Sven |
| DOI: | 10.3929/ethz-b-000176201 |
| Tagungsband: | Abstract Book, 3rd International SystemsX.ch Conference on Systems Biology |
| Seite(n): | 160 |
| Angaben zur Konferenz: | SystemsX.ch Conference, Zurich, 4-7 September 2017 |
| Erscheinungsdatum: | 7-Sep-2017 |
| ISBN: | 978-3-906327-94-5 |
| Sprache: | Englisch |
| Schlagwörter: | Morphology; Intracranial aneurysms |
| Fachgebiet (DDC): | 616: Innere Medizin und Krankheiten |
| Zusammenfassung: | The 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/12076 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | Life Sciences und Facility Management |
| Organisationseinheit: | Institut für Computational Life Sciences (ICLS) |
| Publiziert im Rahmen des ZHAW-Projekts: | AneuX |
| Enthalten in den Sammlungen: | Publikationen Life Sciences und Facility Management |
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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.
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