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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