Show simple item record

dc.contributor.authorEulzer, Pepeen_US
dc.contributor.authorMeuschke, Moniqueen_US
dc.contributor.authorMistelbauer, Gabrielen_US
dc.contributor.authorLawonn, Kaien_US
dc.contributor.editorBruckner, Stefanen_US
dc.contributor.editorTurkay, Cagatayen_US
dc.contributor.editorVrotsou, Katerinaen_US
dc.date.accessioned2022-06-03T05:34:29Z
dc.date.available2022-06-03T05:34:29Z
dc.date.issued2022
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14576
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14576
dc.description.abstractMap-like visualizations of patient-specific cardiovascular structures have been applied in numerous medical application contexts. The term map-like alludes to the characteristics these depictions share with cartographic maps: they show the spatial relations of data attributes from a single perspective, they abstract the underlying data to increase legibility, and they facilitate tasks centered around overview, navigation, and comparison. A vast landscape of techniques exists to derive such maps from heterogeneous data spaces. Yet, they all target similar purposes within disease diagnostics, treatment, or research and they face coinciding challenges in mapping the spatial component of a treelike structure to a legible layout. In this report, we present a framing to unify these approaches. On the one hand, we provide a classification of the existing literature according to the data spaces such maps can be derived from. On the other hand, we view the approaches in light of the manifold requirements medical practitioners and researchers have in their efforts to combat the ever-growing burden of cardiovascular disease. Based on these two perspectives, we offer recommendations for the design of map-like visualizations of the cardiovascular system.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing --> Visualization techniques; Visualization application domains
dc.subjectHuman centered computing
dc.subjectVisualization techniques
dc.subjectVisualization application domains
dc.titleVessel Maps: A Survey of Map-Like Visualizations of the Cardiovascular Systemen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersHealth and Medicine
dc.description.volume41
dc.description.number3
dc.identifier.doi10.1111/cgf.14576
dc.identifier.pages645-673
dc.identifier.pages29 pages
dc.description.documenttypestar


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License