Human brain diffusion tensor imaging at submillimeter isotropic resolution on a 3Tesla clinical MRI scanner

Hing-Chiu Chang, Mark Sundman, Laurent Petit, Shayan Guhaniyogi, Mei-Lan Chu, Christopher Petty, Allen W. Song, Nan-kuei Chen
NeuroImage. 2015-09-01; 118: 667-675
DOI: 10.1016/j.neuroimage.2015.06.016

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1. Neuroimage. 2015 Sep;118:667-75. doi: 10.1016/j.neuroimage.2015.06.016. Epub 2015
Jun 11.

Human brain diffusion tensor imaging at submillimeter isotropic resolution on a
3Tesla clinical MRI scanner.

Chang HC(1), Sundman M(1), Petit L(2), Guhaniyogi S(1), Chu ML(1), Petty C(1),
Song AW(1), Chen NK(3).

Author information:
(1)Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC,
USA.
(2)Groupe d’Imagerie Neurofonctionnelle (GIN) – UMR5296, CNRS, CEA, Université de
Bordeaux, Bordeaux, France.
(3)Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC,
USA. Electronic address: .

The advantages of high-resolution diffusion tensor imaging (DTI) have been
demonstrated in a recent post-mortem human brain study (Miller et al., NeuroImage
2011;57(1):167-181), showing that white matter fiber tracts can be much more
accurately detected in data at a submillimeter isotropic resolution. To our
knowledge, in vivo human brain DTI at a submillimeter isotropic resolution has
not been routinely achieved yet because of the difficulty in simultaneously
achieving high resolution and high signal-to-noise ratio (SNR) in DTI scans. Here
we report a 3D multi-slab interleaved EPI acquisition integrated with multiplexed
sensitivity encoded (MUSE) reconstruction, to achieve high-quality, high-SNR and
submillimeter isotropic resolution (0.85×0.85×0.85mm(3)) in vivo human brain DTI
on a 3Tesla clinical MRI scanner. In agreement with the previously reported
post-mortem human brain DTI study, our in vivo data show that the structural
connectivity networks of human brains can be mapped more accurately and
completely with high-resolution DTI as compared with conventional DTI (e.g.,
2×2×2mm(3)).

Copyright © 2015 Elsevier Inc. All rights reserved.

DOI: 10.1016/j.neuroimage.2015.06.016
PMCID: PMC4554968
PMID: 26072250 [Indexed for MEDLINE]

Auteurs Bordeaux Neurocampus