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Data from: In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution (PART II)

Citation

Wang, Fuyixue et al. (2022), Data from: In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution (PART II), Dryad, Dataset, https://doi.org/10.5061/dryad.rjdfn2z8g

Abstract

This whole-brain in vivo diffusion MRI dataset was acquired at 760 µm isotropic resolution and sampled at 1260 q-space points across 9 two-hour sessions on a single healthy subject. It was acquired using state-of-the-art acquisition hardware and advanced reconstruction to achieve high SNR at such resolution, including a high-gradient-strength Connectom scanner, a custom-built 64-channel phased-array coil, a personalized motion-robust head stabilizer, a recently developed SNR-efficient dMRI acquisition, and parallel imaging reconstruction with advanced ghost reduction algorithms. With its unprecedented high resolution, SNR and image quality, it could help explore the fine-scale structures of in vivo human brain, and further advance the understanding of human brain connectivity. This dataset can also be used as a test bed for further technical development of new modeling, sub-sampling strategies, denoising and processing algorithms for in vivo high resolution dMRI. Whole brain anatomical T1-weighted and T2-weighted images at submillimeter scale, field maps and the code for preprocessing pipeline are also made available in the repository.

Funding

U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering, Award: R01-EB019437,P41-EB030006,R01-EB020613,R01-EB019437,U01-EB025162,P41-EB015896,P41-EB030006

U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke, Award: K23-NS096056

U.S. Department of Health & Human Services | NIH | National Institute of Mental Health, Award: R01-MH116173,U01-MH093765

U.S. Department of Health & Human Services | NIH | National Center for Research Resources, Award: S10-RR023401,S10-RR023043,S10-RR019307