Christian T Stoeck1, Constantin von Deuster1, Maximilian Fuetterer1, Malgorzata Polacin1,2, Conny F Waschkies1, Robbert JH van Gorkum1, Mareike Kron3, Thea Fleischmann3, Nikola Cesarovic3,4, Miriam Weisskopf3, and Sebastian Kozerke1
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, 2Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland, 3Division of Surgical Research, University Hospital Zurich, Zurich, Switzerland, 4Institute of Translational Cardiovascular Technologies, ETH Zurich, Zurich, Switzerland
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, 2Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland, 3Division of Surgical Research, University Hospital Zurich, Zurich, Switzerland, 4Institute of Translational Cardiovascular Technologies, ETH Zurich, Zurich, Switzerland
Cardiac diffusion tensor imaging
shows great potential as non-contrast imaging method for assessing the dynamics
of myocardial infarction, when compared to native relaxometry.
Figure 1: 1 Example images over
the time course of the experiment. The systolic timeframe shows hypocontraction
in the inferior lateral wall coinciding with late gadolinium enhancement (LGE),
native T1, extra cellular volume fraction (ECV), T2 mapping, mean diffusivity
(MD) and fractional anisotropy (FA).
Figure 3 relative change in
native T1, extra cellular volume (ECV), T2, mean diffusivity (MD) and
fractional anisotropy (FA) in the infarcted area compared to the remote area.
Error bars indicate one standard deviation across cases. The asterisk indicates
statistically significanct (p<0.05)
difference compared to baseline contrast.
