Visual Assessment of Vascular Torsion using Ellipse Fitting

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dc.contributor.authorMistelbauer, Gabrielen_US
dc.contributor.authorZettwitz, Martinen_US
dc.contributor.authorSchernthaner, Rüdigeren_US
dc.contributor.authorFleischmann, Dominiken_US
dc.contributor.authorTeutsch, Christianen_US
dc.contributor.authorPreim, Bernharden_US
dc.contributor.editorPuig Puig, Anna and Schultz, Thomas and Vilanova, Anna and Hotz, Ingrid and Kozlikova, Barbora and Vázquez, Pere-Pauen_US
dc.date.accessioned2018-09-19T15:19:31Z
dc.date.available2018-09-19T15:19:31Z
dc.date.issued2018
dc.description.abstractBlood vessels are well explored and researched in medicine and visualization. However, the investigation of vascular torsion has yet been unexplored. In order to understand the development and current state of a single blood vessel or even multiple connected ones, properties of vascular structures have to be analyzed. In this paper we assess the torsion of blood vessels in order to better understand their morphology. The aim of this work is to quantitatively gauge blood vessels by using an automated method that assumes an elliptical blood vessel model. This facilitates using state-of-the-art ellipse fitting algorithms from industrial measuring standards. In order to remove outliers, we propose a self-correcting iterative refitting of ellipses using neighboring information. The torsion information is visually conveyed by connecting the major and minor points of adjacent ellipses. Our final visualization comprises a visual representation of the blood vessel including four bands to outline the torsion.en_US
dc.description.sectionheadersCardiovascular
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20181238
dc.identifier.isbn978-3-03868-056-7
dc.identifier.issn2070-5786
dc.identifier.pages129-133
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20181238
dc.identifier.urihttps://doi.org/10.2312/vcbm.20181238
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectParametric curve and surface models
dc.subjectShape analysis
dc.titleVisual Assessment of Vascular Torsion using Ellipse Fittingen_US
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VCBM 18: Eurographics Workshop on Visual Computing for Biology and Medicine