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Abstract #4137

Model-based Reconstruction with Automatic Scaling for Real-Time Phase-Contrast Flow MRI with Complementary Sets of Radial Spokes

Zhengguo Tan1, Jost M Kollmeier1, Arun A Joseph1,2, Oleksandr Kalentev1, Dirk Voit1, Klaus-Dietmar Merboldt1, Thorsten Hohage3, and Jens Frahm1,2

1Biomedizinische NMR Forschungs GmbH, Max-Planck-Institute for Biophysical Chemistry, Goettingen, Germany, 2German Center for Cardiovascular Research, partner site Goettingen, Goettingen, Germany, 3Institut für Numerische und Angewandte Mathematik, Goettingen, Germany

Real-time phase-contrast flow MRI is extended from sequential acquisitions of flow-compensated and flow-encoded data with the same set of radial spokes to interleaved acquisitions with different radial spokes oriented by a small Golden angle, thereby improving spatial accuracy and reducing streaking artifacts. To apply model-based reconstructions for this sampling scheme, an automatic scaling of unknowns is proposed, which is capable of balancing partial derivatives and regularizations during the iterative nonlinear inversion.

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