3D superquadric glyphs for visualizing myocardial motion

Teodora Chitiboi, Mathias Neugebauer, Susanne Schnell, Michael Markl, Lars Linsen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2015 IEEE Scientific Visualization Conference, SciVis 2015 - Proceedings
EditorsJames Ahrens, Huamin Qu, Jos Roerdink
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages143-144
Number of pages2
ISBN (Electronic)9781467397858
DOIs
StatePublished - Mar 8 2016
EventIEEE Scientific Visualization Conference, SciVis 2015 - Chicago, United States
Duration: Oct 25 2015Oct 30 2015

Publication series

Name2015 IEEE Scientific Visualization Conference, SciVis 2015 - Proceedings

Other

OtherIEEE Scientific Visualization Conference, SciVis 2015
CountryUnited States
CityChicago
Period10/25/1510/30/15

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Software

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