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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.

Authors

A.T. Vu

E. Auerbach

C. Lenglet

S. Moeller

Stamatios N. Sotiropoulos

S. Jbabdi

J. Andersson

E. Yacoub

K. Ugurbil



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., …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 http://eprints.nottingham.ac.uk/id/eprint/50959
Publisher URL https://www.sciencedirect.com/science/article/pii/S1053811915007120
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0





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