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 Joseph^1,2, Oleksandr Kalentev¹, Dirk Voit¹, Klaus-Dietmar Merboldt¹, Thorsten Hohage³, and Jens Frahm^1,2

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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