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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