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Abstract #4404

Geometric-decomposition Coil Compression for Real-time Simultaneous MultiSlice EPI reconstruction at high MultiBand factors

Stephen F Cauley 1 , Micheal Lustig 2 , Berkin Bilgic 1,3 , Himanshu Bhat 4 , Lawrence L Wald 1,5 , and Kawin Setsompop 1,3

1 A.A. Martinos Center for Biomedical Imaging, Dept. of Radiology, MGH, Charlestown, MA, United States, 2 Electrical Engineering and Computer Sciences, UC Berkeley, CA, United States, 3 Harvard Medical School, Boston, MA, United States, 4 Siemens Medical Solutions Inc, Malvern, PA, United States, 5 Division of Health Sciences and Technology, Harvard-MIT, Cambridge, MA, United States

Simultaneous MultiSlice EPI acquisition significantly increases the temporal efficiency for both diffusion-weighted imaging and functional MRI. With the Blipped-CAIPI modification and a large channel-count receive coil array, high resolution whole brain images are obtained in sub-second with little SNR penalty and artifact level. However, this breakthrough poses a challenge for the rapid reconstruction of these large datasets; a critical criteria for high patient throughput in clinical and research settings. We use Geometric-decomposition Coil Compression to ameliorate the computational challenges associated with SMS-EPI acquisitions at high MB factors. This enables real-time reconstruction of large datasets using vendor's provided computational hardware.

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