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
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. 
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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