<div class="csl-bib-body">
<div class="csl-entry">Miao, H., Mistelbauer, G., Nasel, C., & Gröller, E. (2015). CoWRadar: Visual Quantification of the Circle of Willis in Stroke Patients. In K. Bühler, L. Linsen, & N. W. John (Eds.), <i>VCBM 15: Eurographics Workshop on Visual Computing for Biology and Medicine</i> (pp. 1–10). The Eurographics Association. https://doi.org/10.2312/vcbm.20151203</div>
</div>
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dc.identifier.isbn
978-3-905674-82-8
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/56132
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dc.description.abstract
This paper presents a method for the visual quantification of cerebral arteries, known as the Circle of Willis (CoW).
The CoW is an arterial structure that is responsible for the brain´s blood supply. Dysfunctions of this arterial circle
can lead to strokes. The diagnosis relies on the radiologist´s expertise and the software tools used. These tools
consist of very basic display methods of the volumetric data without support of advanced technologies in medical
image processing and visualization. The goal of this paper is to create an automated method for the standardized
description of cerebral arteries in stroke patients in order to provide an overview of the CoW´s configuration. This
novel display provides visual indications of problematic areas as well as straightforward comparisons between
multiple patients. Additionally, we offer a pipeline for extracting the CoW from Time-of-Flight Magnetic Resonance
Angiography (TOF-MRA) data sets. An enumeration technique for the labeling of the arterial segments is therefore
suggested. We also propose a method for detecting the CoW´s main supplying arteries by analyzing the coronal,
sagittal and transverse image planes of the data sets. We evaluated the feasibility of our visual quantification
approach in a study of 63 TOF-MRA data sets and compared our findings to those of three radiologists. The
obtained results demonstrate that our proposed techniques are effective in detecting the arteries of the CoW.
en
dc.language.iso
en
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dc.title
CoWRadar: Visual Quantification of the Circle of Willis in Stroke Patients
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
VCBM 15: Eurographics Workshop on Visual Computing for Biology and Medicine
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dc.relation.isbn
978-3-905674-82-8
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dc.relation.issn
2070-5786
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dc.description.startpage
1
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dc.description.endpage
10
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
VCBM 15: Eurographics Workshop on Visual Computing for Biology and Medicine
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tuw.peerreviewed
true
-
tuw.relation.publisher
The Eurographics Association
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tuw.researchTopic.id
I5
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E193-02 - Forschungsbereich Computer Graphics
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tuw.publisher.doi
10.2312/vcbm.20151203
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dc.description.numberOfPages
10
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tuw.event.name
Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)
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tuw.event.startdate
14-09-2015
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tuw.event.enddate
15-09-2015
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Chester, United Kingdom
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tuw.event.country
EU
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tuw.event.presenter
Miao, Haichao
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
de
wb.facultyfocus
Visual Computing and Human-Centered Technology (VC + HCT)
en
wb.facultyfocus.faculty
E180
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wb.presentation.type
science to science/art to art
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item.languageiso639-1
en
-
item.openairetype
conference paper
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item.grantfulltext
restricted
-
item.fulltext
no Fulltext
-
item.cerifentitytype
Publications
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
-
crisitem.author.dept
E186 - Institut für Computergraphik und Algorithmen
-
crisitem.author.dept
E193-02 - Forschungsbereich Computer Graphics
-
crisitem.author.orcid
0000-0002-8569-4149
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E180 - Fakultät für Informatik
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology