License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.8.10.148
URN: urn:nbn:de:0030-drops-103524
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/10352/
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Fuster, Andrea ; Özarslan, Evren ; Schultz, Thomas ; Zhang, Eugene
Weitere Beteiligte (Hrsg. etc.): Andrea Fuster and Evren Özarslan and Thomas Schultz and Eugene Zhang

Visualization and Processing of Anisotropy in Imaging, Geometry, and Astronomy (Dagstuhl Seminar 18442)

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dagrep_v008_i010_p148_18442.pdf (5 MB)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 18442, "Visualization and Processing of Anisotropy in Imaging, Geometry, and Astronomy", which was attended by 30 international researchers, both junior and senior. Directional preferences or anisotropies are encountered across many different disciplines and spatial scales. These disciplines share a need for modeling, processing, and visualizing anisotropic quantities, which poses interesting challenges to applied computer science. With the goal of identifying open problems, making practitioners aware of existing solutions, and discovering synergies between different applications in which anisotropy arises, this seminar brought together researchers working on different aspects of computer science with experts from neuroimaging and astronomy. This report gathers abstracts of the talks held by the participants, as well as an account of topics raised within the breakout sessions.

BibTeX - Entry

@Article{fuster_et_al:DR:2019:10352,
  author =	{Andrea Fuster and Evren {\"O}zarslan and Thomas Schultz and Eugene Zhang},
  title =	{{Visualization and Processing of Anisotropy in Imaging, Geometry, and Astronomy (Dagstuhl Seminar 18442)}},
  pages =	{148--172},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{8},
  number =	{10},
  editor =	{Andrea Fuster and Evren {\"O}zarslan and Thomas Schultz and Eugene Zhang},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10352},
  URN =		{urn:nbn:de:0030-drops-103524},
  doi =		{10.4230/DagRep.8.10.148},
  annote =	{Keywords: Anisotropy, astronomy, diffusion-weighted imaging (DWI), geometry processing, tensor fields, topology, visualization, uncertainty, shape modeling,}
}

Keywords: Anisotropy, astronomy, diffusion-weighted imaging (DWI), geometry processing, tensor fields, topology, visualization, uncertainty, shape modeling,
Freie Schlagwörter (englisch): microstructure imaging, statistical analysis
Collection: Dagstuhl Reports, Volume 8, Issue 10
Issue Date: 2019
Date of publication: 04.04.2019

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