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Abstract #4369

Whole-brain in-vivo submillimeter diffusion MRI in 10 minutes with combined gSlider-Spherical Ridgelets reconstruction

Gabriel Ramos-Llordén1, Lipeng Ning1, Congyu Liao2, Rinat Mukhometzianov3, Oleg Michailovich3, Kawin Setsompop2, and Yogesh Rathi1
1Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 2Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, 3University of Waterloo, Waterloo, ON, Canada

gSlider is an efficient, super-resolution, technique to achieve submillimeter diffusion MRI data circumventing the trade-off between image resolution and SNR. Yet, the long acquisition time is still an issue. In this work, we extend gSlider by allowing under-sampling both in q-space and Radio-Frequency (RF)-encoded data, achieving then shorter acquisition time that gSlider. Our method, gSlider-SR, uses a basis of Spherical-Ridgelets to exploit the redundancy of the dMRI data, while at the same time enhancing SNR. We demonstrate that only ten minutes are needed to reconstruct 64 diffusion directions (b=2000s/mm2) at 860 μm data with reliably signal preservation.

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