A Survey of Cardiac 4D PC-MRI Data Processing

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dc.contributor.authorKöhler, Benjaminen_US
dc.contributor.authorBorn, Silviaen_US
dc.contributor.authorPelt, Roy F. P. vanen_US
dc.contributor.authorPreim, Utaen_US
dc.contributor.authorPreim, Bernharden_US
dc.contributor.editorKatja Bühler and Lars Linsen and Nigel W. Johnen_US
dc.date.accessioned2015-09-14T04:49:03Z
dc.date.available2015-09-14T04:49:03Z
dc.date.issued2015en_US
dc.description.abstractCardiac 4D PC-MRI acquisitions gained increasing clinical interest in recent years. They allow to non-invasively obtain extensive information about patient-specific hemodynamics and thus have a great potential to improve the diagnosis of cardiovascular diseases. A dataset contains time-resolved, three-dimensional blood flow directions and strengths, facilitating comprehensive qualitative and quantitative data analysis. The quantification of measures such as stroke volumes helps to assess the cardiac function and monitor disease progression. Qualitative analysis allows to investigate abnormal flow characteristics, such as vortices, that are correlated to different pathologies. Processing the data comprises complex image processing methods as well as flow analysis and visualization. In this work, we mainly focus on the aorta. We provide an overview from data measurement and preprocessing to current visualization and quantification methods so that other researchers can quickly catch up with the topic and take on new challenges to further investigate the potential of 4D PC-MRI.en_US
dc.description.sectionheadersVisual Computing for Vessel Structuresen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US
dc.identifier.doi10.2312/vcbm.20151217en_US
dc.identifier.isbn978-3-905674-82-8en_US
dc.identifier.issn2070-5786en_US
dc.identifier.pages139-148en_US
dc.identifier.urihttps://doi.org/10.2312/vcbm.20151217en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.9 [Computing Methodologies]en_US
dc.subjectImage Processing and Computer Visionen_US
dc.subjectApplicationsen_US
dc.subjectJ.3 [Computing Applications]en_US
dc.subjectLife and Medical Sciencesen_US
dc.titleA Survey of Cardiac 4D PC-MRI Data Processingen_US
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VCBM 15: Eurographics Workshop on Visual Computing for Biology and Medicine