Abstract #2126

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

Omer Burak Demirel^1,2, Sebastian Weingärtner^1,2,3, Steen Moeller², and Mehmet Akçakaya^1,2

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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