Automatic Cutting and Flattening of Carotid Artery Geometries

dc.contributor.authorEulzer, Pepeen_US
dc.contributor.authorRichter, Kevinen_US
dc.contributor.authorMeuschke, Moniqueen_US
dc.contributor.authorHundertmark, Annaen_US
dc.contributor.authorLawonn, Kaien_US
dc.contributor.author,en_US
dc.contributor.editorOeltze-Jafra, Steffen and Smit, Noeska N. and Sommer, Björn and Nieselt, Kay and Schultz, Thomasen_US
dc.date.accessioned2021-09-21T08:09:33Z
dc.date.available2021-09-21T08:09:33Z
dc.date.issued2021
dc.description.abstractWe propose a novel method to cut and flatten vascular geometry that results in an intuitive mapping between the 3D and 2D domains. Our approach is fully automatic, and the sole input is the vessel geometry. We aim to simplify parameter analysis on vessel walls for research on vascular disease and computational hemodynamics. We present a use case for the flattening to aid efforts in investigating the pathophysiology of carotid stenoses (vessel constrictions that are a root cause of stroke). To achieve an intuitive mapping, we introduce the notion of natural vessel cuts. They remain on one side of vessel branches, meaning they adhere to the longitudinal direction and thus result in a comprehensible unfolding of the geometry. Vessel branches and endpoints are automatically detected, and a 2D layout configuration is found that retains the original branch layout. We employ a quasi-isometric surface parameterization to map the geometry to the 2D domain as a single patch. The flattened depiction resolves the need for tedious 3D interaction as the whole surface is visible at once.We found this overview particularly beneficial for exploring temporally resolved parameters.en_US
dc.description.sectionheadersThe path that blood takes
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20211347
dc.identifier.isbn978-3-03868-140-3
dc.identifier.issn2070-5786
dc.identifier.pages79-89
dc.identifier.urihttps://doi.org/10.2312/vcbm.20211347
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20211347
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman centered computing
dc.subjectScientific visualization
dc.subjectApplied computing
dc.subjectLife and medical sciences
dc.subjectComputing methodologies
dc.subjectMesh geometry models
dc.titleAutomatic Cutting and Flattening of Carotid Artery Geometriesen_US
Files
Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
079-089.pdf
Size:
4.34 MB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
paper1009.mp4
Size:
66.93 MB
Format:
Unknown data format