Vessel Maps: A Survey of Map‐Like Visualizations of the Cardiovascular System

Map‐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 perspecti...

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Vydáno v:	Computer graphics forum Ročník 41; číslo 3; s. 645 - 673
Hlavní autoři:	Eulzer, P., Meuschke, M., Mistelbauer, G., Lawonn, K.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Blackwell Publishing Ltd 01.06.2022
Témata:	Cardiovascular system Cartography CCS Concepts Human‐centered computing → Visualization techniques Legibility Medical research Spatial data Visualization application domains
ISSN:	0167-7055, 1467-8659
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Abstract	Map‐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 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.
AbstractList	Map‐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 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. Map‐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.
Author	Eulzer, P. Mistelbauer, G. Meuschke, M. Lawonn, K.
Author_xml	– sequence: 1 givenname: P. surname: Eulzer fullname: Eulzer, P. organization: University of Jena, Faculty of Mathematics and Computer Science – sequence: 2 givenname: M. surname: Meuschke fullname: Meuschke, M. organization: University of Magdeburg, Department of Simulation and Graphics – sequence: 3 givenname: G. surname: Mistelbauer fullname: Mistelbauer, G. organization: Stanford University School of Medicine, Department of Radiology – sequence: 4 givenname: K. surname: Lawonn fullname: Lawonn, K. organization: University of Jena, Faculty of Mathematics and Computer Science
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CitedBy_id	crossref_primary_10_1111_cgf_15081 crossref_primary_10_1007_s11548_025_03464_4 crossref_primary_10_1109_TVCG_2023_3330546 crossref_primary_10_1111_cgf_14808 crossref_primary_10_1049_htl2_12094 crossref_primary_10_1016_j_cag_2025_104408 crossref_primary_10_1016_j_media_2025_103493 crossref_primary_10_1111_cgf_15080
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Snippet	Map‐like visualizations of patient‐specific cardiovascular structures have been applied in numerous medical application contexts. The term map‐like alludes to...
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SubjectTerms	Cardiovascular system Cartography CCS Concepts Human‐centered computing → Visualization techniques Legibility Medical research Spatial data Visualization application domains
Title	Vessel Maps: A Survey of Map‐Like Visualizations of the Cardiovascular System
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