A Fully Integrated Pipeline for Visual Carotid Morphology Analysis

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dc.contributor.authorEulzer, Pepeen_US
dc.contributor.authorDeylen, Fabienne vonen_US
dc.contributor.authorHsu, Wei-Chanen_US
dc.contributor.authorWickenhöfer, Ralphen_US
dc.contributor.authorKlingner, Carsten M.en_US
dc.contributor.authorLawonn, Kaien_US
dc.contributor.editorBujack, Roxanaen_US
dc.contributor.editorArchambault, Danielen_US
dc.contributor.editorSchreck, Tobiasen_US
dc.date.accessioned2023-06-10T06:16:03Z
dc.date.available2023-06-10T06:16:03Z
dc.date.issued2023
dc.description.abstractAnalyzing stenoses of the internal carotids - local constrictions of the artery - is a critical clinical task in cardiovascular disease treatment and prevention. For this purpose, we propose a self-contained pipeline for the visual analysis of carotid artery geometries. The only inputs are computed tomography angiography (CTA) scans, which are already recorded in clinical routine. We show how integrated model extraction and visualization can help to efficiently detect stenoses and we provide means for automatic, highly accurate stenosis degree computation. We directly connect multiple sophisticated processing stages, including a neural prediction network for lumen and plaque segmentation and automatic global diameter computation. We enable interactive and retrospective user control over the processing stages. Our aims are to increase user trust by making the underlying data validatable on the fly, to decrease adoption costs by minimizing external dependencies, and to optimize scalability by streamlining the data processing. We use interactive visualizations for data inspection and adaption to guide the user through the processing stages. The framework was developed and evaluated in close collaboration with radiologists and neurologists. It has been used to extract and analyze over 100 carotid bifurcation geometries and is built with a modular architecture, available as an extendable open-source platform.en_US
dc.description.number3
dc.description.sectionheadersAwards Session
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14808
dc.identifier.issn1467-8659
dc.identifier.pages25-37
dc.identifier.pages13 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14808
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14808
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectCCS Concepts: Human-centered computing -> Scientific visualization; Applied computing -> Life and medical sciences
dc.subjectHuman centered computing
dc.subjectScientific visualization
dc.subjectApplied computing
dc.subjectLife and medical sciences
dc.titleA Fully Integrated Pipeline for Visual Carotid Morphology Analysisen_US
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