Abstract #0343
3D myofiber reconstruction from in vivo cardiac DTI data through extraction of low rank modes
Martin Genet 1 , Constantin von Deuster 1,2 , Christian T Stoeck 1,2 , and Sebastian Kozerke 1,2
1
Institut for Biomedical Engineering, ETHZ,
Zurich, Switzerland,
2
Imaging
Sciences and Biomedical Engineering, KCL, London, United
Kingdom
Recent advances in cardiac diffusion tensor imaging
(DTI) have enabled robust imaging of the in-vivo human
heart, allowing the non-invasive assessement of myofiber
and myosheet orientations. However, in view of the
relatively low scan efficiency and scan time constraints
in-vivo, cardiac coverage and signal-to-noise ratio are
limited. The objective of the present work is to develop
an approach to (i) extract the most significant features
from noisy myofiber and myosheet angle maps measured
with in-vivo DTI, and (ii) extrapolate the data across
the entire left ventricle based on a limited number of
acquired short-axis views.
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