In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution.
Fuyixue WangZijing DongQiyuan TianCongyu LiaoQiuyun FanW Scott HogeBoris KeilJonathan R PolimeniLawrence L WaldSusie Y HuangKawin SetsompopPublished in: Scientific data (2021)
We present a whole-brain in vivo diffusion MRI (dMRI) dataset acquired at 760 μm 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 T1-weighted and T2-weighted images at submillimeter scale along with field maps are also made available.
Keyphrases
- high resolution
- resting state
- contrast enhanced
- image quality
- white matter
- functional connectivity
- deep learning
- computed tomography
- magnetic resonance imaging
- machine learning
- magnetic resonance
- single molecule
- endothelial cells
- cerebral ischemia
- blood pressure
- convolutional neural network
- diffusion weighted imaging
- mass spectrometry
- network analysis
- high speed
- clinical trial
- optical coherence tomography
- induced pluripotent stem cells
- blood brain barrier
- study protocol
- data analysis
- pluripotent stem cells