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Abstract #0175

Fast high-resolution diffusion MRI using gSlider-SMS, interlaced subsampling, and SNR-enhancing joint reconstruction

Justin P. Haldar1 and Kawin Setsompop2

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States, 2A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States

We describe a new approach that enables in vivo whole brain diffusion MRI with simultaneously high spatial resolution (660 ┬Ám isotropic voxels) and high angular diffusion encoding resolution (64 orientations at b=1500 s/mm2 and 4 b=0 s/mm2 images) in only 15 minutes. This is achieved by combining the gSlider-SMS acquisition strategy with constrained image reconstruction techniques that enable denoising (exploiting the fact that the diffusion images are smooth with correlated edge locations) and interlaced data subsampling (achieved by exploiting the same correlated edge constraints used for denoising, as well as through the use of q-space smoothness constraints).

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