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Abstract #2126

Multi-Band SPIRiT Strategies for Improved Simultaneous Multi-slice Myocardial $$$T_1$$$ Mapping

Omer Burak Demirel1,2, Sebastian Weingärtner1,2,3, Steen Moeller2, and Mehmet Akçakaya1,2

1Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 3Computer Assisted Clinical Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany

Myocardial T1 mapping is typically performed with three or more breath-holds, each covering one slice. This leads to patient discomfort and long exam times. Recently, simultaneous multi-slice/multi-band (SMS/MB) imaging was proposed to improve coverage and reduce scan time. It was shown that k-space interpolation outperformed SENSE-type reconstructions in terms of T1 precision. However, the slice-GRAPPA approach is a kernel estimation approach and does not allow for additional regularization. In this work, we sought to use a SPIRiT approach for improving SMS/MB myocardial T1 mapping by performing regularized multi-band reconstruction.

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