Occlusion-free Blood Flow Animation with Wall Thickness Visualization

We present the first visualization tool that combines pathlines from blood flow and wall thickness information. Our method uses illustrative techniques to provide occlusion-free visualization of the flow. We thus offer medical researchers an effective visual analysis tool for aneurysm treatment risk...

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Détails bibliographiques
Publié dans:IEEE transactions on visualization and computer graphics. - 1996. - 22(2016), 1 vom: 24. Jan., Seite 728-37
Auteur principal: Lawonn, Kai (Auteur)
Autres auteurs: Glaßer, Sylvia, Vilanova, Anna, Preim, Bernhard, Isenberg, Tobias
Format: Article en ligne
Langue:English
Publié: 2016
Accès à la collection:IEEE transactions on visualization and computer graphics
Sujets:Journal Article Research Support, Non-U.S. Gov't
Description
Résumé:We present the first visualization tool that combines pathlines from blood flow and wall thickness information. Our method uses illustrative techniques to provide occlusion-free visualization of the flow. We thus offer medical researchers an effective visual analysis tool for aneurysm treatment risk assessment. Such aneurysms bear a high risk of rupture and significant treatment-related risks. Therefore, to get a fully informed decision it is essential to both investigate the vessel morphology and the hemodynamic data. Ongoing research emphasizes the importance of analyzing the wall thickness in risk assessment. Our combination of blood flow visualization and wall thickness representation is a significant improvement for the exploration and analysis of aneurysms. As all presented information is spatially intertwined, occlusion problems occur. We solve these occlusion problems by dynamic cutaway surfaces. We combine this approach with a glyph-based blood flow representation and a visual mapping of wall thickness onto the vessel surface. We developed a GPU-based implementation of our visualizations which facilitates wall thickness analysis through real-time rendering and flexible interactive data exploration mechanisms. We designed our techniques in collaboration with domain experts, and we provide details about the evaluation of the technique and tool
Description:Date Completed 18.08.2016
Date Revised 04.11.2015
published: Print
Citation Status MEDLINE
ISSN:1941-0506
DOI:10.1109/TVCG.2015.2467961