ktv-ARC reconstruction for 4D flow MRI using correlations between velocity encodings
Fatih Suleyman Hafalir1,2, Ana Beatriz Solana2, Peng Lai3, Malek Makki4, Anja C.S. Brau5, Axel Haase1, and Martin A. Janich2
1Technischen Universität München, Munich, Germany, 2GE Global Research, Munich, Germany, 3GE Healthcare, Menlo Park, CA, United States, 4MRI Research Center, University Children Hospital, Zurich, Switzerland, 5GE Healthcare, Munich, Germany
4D flow MRI is a powerful tool for visualization
and quantification of blood flow. Repeated acquisition of 4 echoes with different
velocity encoding is needed to measure flow in 3D. In this study, we propose a new
ktv-ARC reconstruction by incorporating correlations between velocity encoded echoes
(v) to the spatiotemporal correlations (kt). The error behavior of the method was
analyzed on retrospectively undersampled in vivo cardiac data and resulted in more
accurate velocity images with ktv-ARC compared to kt-ARC.
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