@inproceedings{cc1bed8939394023b84fc500e32526f9,
title = "3D superquadric glyphs for visualizing myocardial motion",
abstract = "Various cardiac diseases can be diagnosed by the analysis of myocardial motion. Relevant biomarkers are radial, longitudinal, and rotational velocities of the cardiac muscle computed locally from MR images. We designed a visual encoding that maps these three attributes to glyph shapes according to a barycentric space formed by 3D superquadric glyphs. The glyphs show aggregated myocardial motion information following the AHA model and are displayed in a respective 3D layout.",
author = "Teodora Chitiboi and Mathias Neugebauer and Susanne Schnell and Michael Markl and Lars Linsen",
year = "2016",
month = mar,
day = "8",
doi = "10.1109/SciVis.2015.7429504",
language = "English (US)",
series = "2015 IEEE Scientific Visualization Conference, SciVis 2015 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "143--144",
editor = "James Ahrens and Huamin Qu and Jos Roerdink",
booktitle = "2015 IEEE Scientific Visualization Conference, SciVis 2015 - Proceedings",
address = "United States",
note = "IEEE Scientific Visualization Conference, SciVis 2015 ; Conference date: 25-10-2015 Through 30-10-2015",
}