Abstract #4384
Sparse Dynamic MRI with an Adaptive Temporal Sparsity Prior for Cardiovascular Imaging
Stefan Wundrak 1 , Jan Paul 1 , Johannes Ulrici 2 , Erich Hell 2 , Sebastian Kozerke 3 , and Volker Rasche 1
1
Ulm University Hospital, Ulm, Germany,
2
Sirona
Dental Systems, Bensheim, Germany,
3
Institute
for Biomedical Engineering, University of Zurich and
Swiss Federal Institute of Technology, Zurich,
Switzerland
The application of compressed sensing presumes a
sampling scheme with incoherent, noise-like
undersampling artifacts. In practical cardiovascular MRI
this objective is usually not fully met. In particular,
the very inhomogeneous sensitivity profile of a
32-channel coil array leads to strong streak artifacts
around the chest-wall. In this work, the k-t radial
SPARSE SENSE reconstruction method is extended with a
regularization matrix Λ which adapts the temporal
regularization strength to the local magnitude of the
aliasing artifacts. The proposed method reduces the
residual aliasing artifacts with-out compromising the
temporal fidelity of the cardiac region.
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