|Title:||Using shape descriptors to categorize intracranial aneurysms|
|Authors :||Juchler, Norman|
|Published in :||CMBE17 : 5th International Conference on Computational and Mathematical Biomedical Engineering|
|Conference details:||CMBE, Pittsburgh, PA, United States, 10-12 April 2017|
|License (according to publishing contract) :||Licence according to publishing contract|
|Type of review:||Peer review (Abstract)|
|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.|
|Departement:||Life Sciences and Facility Management|
|Organisational Unit:||Institute of Applied Simulation (IAS)|
|Publication type:||Conference Other|
|Appears in Collections:||Publikationen Life Sciences und Facility Management|
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