In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution

Area of Science:

• Neuroimaging
• Diffusion MRI
• Human Brain Anatomy

Background:

• High-resolution in vivo diffusion MRI (dMRI) is crucial for understanding brain structure and connectivity.
• Existing datasets often lack the resolution or quality for detailed microstructural analysis.

Purpose of the Study:

• To present a novel, whole-brain in vivo dMRI dataset at 760 μm isotropic resolution.
• To establish a benchmark dataset for advancing dMRI acquisition and processing techniques.
• To facilitate research into human brain structure and connectivity.

Main Methods:

• Acquisition of a whole-brain dMRI dataset using a Connectom scanner and a 64-channel coil.
• Utilized a motion-robust head stabilizer and an SNR-efficient dMRI method.
• Employed parallel imaging with ghost reduction for high-quality reconstruction.

Main Results:

• Generated a high-resolution (760 μm) in vivo dMRI dataset with excellent SNR and image quality.
• Dataset includes whole-brain anatomical T1-weighted, T2-weighted images, and field maps.
• The dataset is suitable for advanced neuroimaging research and algorithm development.

Conclusions:

• The presented dMRI dataset offers unprecedented resolution and quality for studying the human brain.
• It serves as a valuable resource for investigating brain structure, connectivity, and developing new dMRI methods.
• Envisioned broad applications in research, education, and clinical settings.