CoWRadar: Visual Quantification of the Circle of Willis in Stroke Patients

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dc.contributor.authorMiao, Haichaoen_US
dc.contributor.authorMistelbauer, Gabrielen_US
dc.contributor.authorNašel, Christianen_US
dc.contributor.authorGröller, M. Eduarden_US
dc.contributor.editorKatja Bühler and Lars Linsen and Nigel W. Johnen_US
dc.date.accessioned2015-09-14T04:48:56Z
dc.date.available2015-09-14T04:48:56Z
dc.date.issued2015en_US
dc.description.abstractThis 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_US
dc.description.sectionheadersSegmentation and Registrationen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US
dc.identifier.doi10.2312/vcbm.20151203en_US
dc.identifier.isbn978-3-905674-82-8en_US
dc.identifier.issn2070-5786en_US
dc.identifier.pages1-10en_US
dc.identifier.urihttps://doi.org/10.2312/vcbm.20151203en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.0 [Image Processing and Computer Vision]en_US
dc.subjectGeneralen_US
dc.subjectImage processing softwareen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectDisplay algorithmsen_US
dc.subjectI.3.4 [Computer Graphics]en_US
dc.subjectGraphics Utilitiesen_US
dc.subjectSoftware supporten_US
dc.subjectJ.3 [Computer Applications]en_US
dc.subjectLife and Medical Sciencesen_US
dc.subjectHealthen_US
dc.titleCoWRadar: Visual Quantification of the Circle of Willis in Stroke Patientsen_US
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VCBM 15: Eurographics Workshop on Visual Computing for Biology and Medicine