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Abstract #1670

Non-Cartesian Calibrationless Parallel Imaging Reconstruction: Application to Hyperpolarized 13C Imaging

Markus Durst1, 2, Ulrich Koellisch1, Jonathan I. Sperl2, Eliane Weidl3, Florian Wiesinger2, Axel Haase1, Rolf F. Schulte2

1IMETUM, Technische Universitt Mnchen, Munich, Bavaria, Germany; 2GE Global Research, Munich, Bavaria, Germany; 3Department for Nuclear Medicine, Technische Universitt Mnchen, Munich, Bavaria, Germany


Due to the irreversible T1-decay of the magnetization, scan time is crucial for hyperpolarized 13C MRI. In contrast to existing autocalibrated parallel MRI algorithms, calibrationless parallel imaging does not require a fully sampled k-space region as used in existing autocalibrated methods, and therefore yields a further reduction of acquisition time. The basic idea is to reconstruct the data with low-rank matrix completion. This existing approach was succesfully adopted to hyperpolarized 13C spiral imaging. Simulations were performed as well as a reconstruction of in-vivo rat data, results were comparable to existing autocalibrated parallel MRI methods, nevertheless allowing a faster acquisition.