| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Peer review (Abstract) |
| Titel: | Understanding morphological irregularity : a rater-based study |
| Autor/-in: | Juchler, Norman Schilling, Sabine Bijlenga, Philippe Rüfenacht, Daniel Kurtcuoglu, Vartan Hirsch, Sven |
| et. al: | No |
| Tagungsband: | CMBE19 Proceedings |
| Seite(n): | 583 |
| Angaben zur Konferenz: | 6th International Conference on Computational and Mathematical Biomedical Engineering (CMBE19), Sendai City, Japan, 10-12 June 2019 |
| Erscheinungsdatum: | 2019 |
| Verlag / Hrsg. Institution: | Zeta Computational Resources |
| Verlag / Hrsg. Institution: | Cardiff |
| ISBN: | 978-0-9562914-5-5 |
| ISSN: | 2227-3085 2227-9385 |
| Sprache: | Englisch |
| Schlagwörter: | Intracranial aneurysms; Morphology |
| Fachgebiet (DDC): | 610: Medizin und Gesundheit |
| Zusammenfassung: | 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/18566 |
| 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., 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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