High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project

Vu, A.T.; Auerbach, E.; Lenglet, C.; Moeller, S.; Sotiropoulos, Stamatios N.; Jbabdi, S.; Andersson, J.; Yacoub, E.; Ugurbil, K.

Abstract

Mapping structural connectivity in healthy adults for the Human Connectome Project (HCP) benefits from high quality, high resolution, multiband (MB)-accelerated whole brain diffusion MRI (dMRI). Acquiring such data at ultrahigh fields (7 T and above) can improve intrinsic signal-to-noise ratio (SNR), but suffers from shorter T2 and T2⁎ relaxation times, increased B1+ inhomogeneity (resulting in signal loss in cerebellar and temporal lobe regions), and increased power deposition (i.e. specific absorption rate (SAR)), thereby limiting our ability to reduce the repetition time (TR). Here, we present recent developments and optimizations in 7 T image acquisitions for the HCP that allow us to efficiently obtain high quality, high resolution whole brain in-vivo dMRI data at 7 T. These data show spatial details typically seen only in ex-vivo studies and complement already very high quality 3 T HCP data in the same subjects. The advances are the result of intensive pilot studies aimed at mitigating the limitations of dMRI at 7 T. The data quality and methods described here are representative of the datasets that will be made freely available to the community in 2015.

Citation

Vu, A., Auerbach, E., Lenglet, C., Moeller, S., Sotiropoulos, S. N., Jbabdi, S., Andersson, J., Yacoub, E., & Ugurbil, K. (2015). High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project. NeuroImage, 122, https://doi.org/10.1016/j.neuroimage.2015.08.004

• Journal Article Type: Article
• Acceptance Date: Aug 1, 2015
• Online Publication Date: Jan 1, 2015
• Publication Date: Nov 15, 2015
• Deposit Date: Apr 5, 2018
• Publicly Available Date: Apr 5, 2018
• Journal: NeuroImage
• Print ISSN: 1053-8119
• Electronic ISSN: 1095-9572
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 122
• DOI: https://doi.org/10.1016/j.neuroimage.2015.08.004
• Public URL: https://nottingham-repository.worktribe.com/output/766801
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1053811915007120
• Contract Date: Apr 5, 2018