| 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 2227-9385 |
| 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/18566 |
| 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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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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