2022
DOI: 10.1111/cgf.14576
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Vessel Maps: A Survey of Map‐Like Visualizations of the Cardiovascular System

Abstract: Input Graph LayoutFigure 1: We describe the creation of a vessel map as a three-step process: the layout of the map must be derived, the geometry or spatiality of the data must be mapped, and the data attributes must be mapped. We differentiate between image volume maps, flow volume maps, vessel wall maps, and vessel network maps depending on the primary data structure the map-like visualization is based on.

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Cited by 7 publications
(7 citation statements)
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“…Various mesh parametrization techniques have been developed, aiding in scalar field analysis. Eulzer et al [EMML22] presented an extensive overview of mapping vascular structures into 2D, and Kreiser et al [KMM*18] explored mapping techniques in other medical areas like the brain and colon. In the following, we review vessel parametrization techniques, as they were also employed in the validation of our approach.…”
Section: Related Workmentioning
confidence: 99%
“…Various mesh parametrization techniques have been developed, aiding in scalar field analysis. Eulzer et al [EMML22] presented an extensive overview of mapping vascular structures into 2D, and Kreiser et al [KMM*18] explored mapping techniques in other medical areas like the brain and colon. In the following, we review vessel parametrization techniques, as they were also employed in the validation of our approach.…”
Section: Related Workmentioning
confidence: 99%
“…These are primarily techniques that simplify complex 3D vascular structures to 2D abstractions [KMM*18]. Often used abstractions are vessel maps [EMML22], which are fundamentally map‐like visualizations of vascular structures. Vessel maps have been created of the carotid to view surface fields of flow parameters without occlusion [ERM*21] and to track plaque development over multiple sonography scanning sessions [CCLC17,CCR20].…”
Section: Related Workmentioning
confidence: 99%
“…The latter rely on a processing pipeline that extracts geometric models from volume images. These can then be further used in advanced visualizations showing, e.g., blood flow features [OJMN * 19] or map‐like depictions with strategically reduced visual complexity [EMML22]. Eulzer et al [EMKL21] specifically target the visualization of hemodynamics in carotid stenoses.…”
Section: Related Workmentioning
confidence: 99%
“…Eulzer et al [EMKL21] specifically target the visualization of hemodynamics in carotid stenoses. Wall‐related parameters like shear stress or plaque distribution at the carotid bifurcation have been visualized using parameterizations of the vessel surface geometry [CLC13, CCR20, ERM * 21]. Lawonn et al [LMW * 19] propose a technique for detecting and segmenting aneurysms (pathological vessel bulges).…”
Section: Related Workmentioning
confidence: 99%
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