| Publication type: | Conference other |
| Type of review: | Peer review (abstract) |
| Title: | Using shape descriptors to categorize intracranial aneurysms |
| Authors: | Juchler, Norman Schilling, Sabine Wanke, Isabel Rüfenacht, Daniel Bijlenga, Philippe Kurtcuoglu, Vartan Hirsch, Sven |
| Proceedings: | CMBE17 : 5th International Conference on Computational and Mathematical Biomedical Engineering |
| Conference details: | CMBE 2017, Pittsburgh PA, USA, 10-12 April 2017 |
| Issue Date: | 12-Apr-2017 |
| ISSN: | 2227-3085 2227-9385 |
| Language: | English |
| Subjects: | Shape matching; Morphology; Intracranial aneurysms |
| Subject (DDC): | 616: Internal medicine and diseases |
| Abstract: | Working towards a system to match intracranial aneurysms of similar morphology, we examine how a variety of established shape descriptors relate to expert assessments of aneurysm morphology. For this purpose, we extract 3D models of aneurysms from 3D angiographies and calculate numerical values (geometry indices and moment invariants) that describe the size and shape of the aneurysm and the surrounding arteries. We then compare these shape descriptors with human assessments of qualitative morphological characteristics like irregularity or the presence/absence of blebs. Here, we present preliminary results based on 137 aneurysm models. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/12085 |
| 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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