Abstract #2698

ktv-ARC reconstruction for 4D flow MRI using correlations between velocity encodings

Fatih Suleyman Hafalir^1,2, 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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