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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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