Auxiliary Tools for Enhanced Depth Perception in Vascular Structures

Lichtenberg, Nils; Lawonn, Kai

doi:10.1007/978-3-030-14227-8_8

Cited by 2 publications

(3 citation statements)

References 19 publications

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“…These steps are also shown in Figure 1. Steps one and two are sometimes solved interdependently [ZHT02b, CES * 08, CCR20], sometimes independently [WRRN09, BGP * 11, MK16, LKH * 19]. Depending on the user task, the branching topology, object geometry, or data attributes can be of interest.…”

Section: Taxonomymentioning

confidence: 99%

“…Some applications require analysis of a highly branched structure, like the arterial tree of the liver investigated by Lichtenberg et al [LKH * 19]. One target of this approach is to show the proximity of vessels and branch structures for intervention planning to minimize the risk of cutting through vital arteries.…”

Section: Vessel Network Mapsmentioning

confidence: 99%

“…They are highlighted with a stippling pattern, which allows for determining an optimal path. Image from [LKH * 19].…”

Section: Vessel Network Mapsmentioning

confidence: 99%

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

Eulzer

Meuschke²,

Mistelbauer

et al. 2022

Computer Graphics Forum

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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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