期刊
SCIENTIFIC DATA
卷 8, 期 1, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/s41597-021-00904-z
关键词
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资金
- NIH [R01-EB020613, R01-EB019437, R01-MH116173, U01-EB025162, U01-EB026996, U01-MH093765, P41-EB015896, P41-EB030006, K23-NS096056, S10-RR023401, S10-RR023043, S10-RR019307]
This is a whole-brain in vivo diffusion MRI dataset acquired at high resolution with advanced hardware and software, which can be applied to a wide range of research, educational, and clinical purposes. Additionally, it can serve as a testing platform for new models, sub-sampling strategies, denoising, and processing algorithms.
We present a whole-brain in vivo diffusion MRI (dMRI) dataset acquired at 760 mu m isotropic resolution and sampled at 1260 q-space points across 9 two-hour sessions on a single healthy participant. The creation of this benchmark dataset is possible through the synergistic use of advanced acquisition hardware and software including the 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 method, and parallel imaging reconstruction with advanced ghost reduction algorithm. With its unprecedented resolution, SNR and image quality, we envision that this dataset will have a broad range of investigational, educational, and clinical applications that will advance the understanding of human brain structures and connectivity. This comprehensive dataset can also be used as a test bed for new modeling, sub-sampling strategies, denoising and processing algorithms, potentially providing a common testing platform for further development of in vivo high resolution dMRI techniques. Whole brain anatomical T-1-weighted and T-2-weighted images at submillimeter scale along with field maps are also made available.
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