Teodora Chitiboi1,2, Mathias Neugebauer1, Susanne Schnell3, Michael Markl3, Lars Linsen2, and Anja Hennemuth1
1Fraunhofer MEVIS, Bremen, Germany, 2Jacobs University, Bremen, Germany, 3Department of Radiology, Northwestern University, Chicago, IL, United States
Various
cardiac diseases can be diagnosed by analyzing myocardial motion. The local
myocardial velocity can be efficiently computed using tissue phase mapping MRI.
While radial, longitudinal, and rotational myocardial velocities are relevant
biomarkers, it is challenging to find a single 3D representation that gives a
global overview of these three motion directions for the entire cardiac muscle.
We designed a visual encoding that maps the three velocities to glyph shapes
according to a barycentric space formed by 3D superquadric glyphs. The glyphs
show the aggregated myocardial motion information for each AHA segment and are
displayed in a 3D layout.
