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research article

Comparison of accelerated T1-weighted whole-brain structural-imaging protocols

Falkovskiy, Pavel  
•
Brenner, Daniel
•
Feiweier, Thorsten
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2016
Neuroimage

Imaging in neuroscience, clinical research and pharmaceutical trials often employs the 3D magnetisation-prepared rapid gradient-echo (MPRAGE) sequence to obtain structural T1-weighted images with high spatial resolution of the human brain. Typical research and clinical routine MPRAGE protocols with similar to 1 mm isotropic resolution require data acquisition time in the range of 5-10 min and often use only moderate two-fold acceleration factor for parallel imaging. Recent advances in MRI hardware and acquisition methodology promise improved leverage of the MR signal and more benign artefact properties in particular when employing increased acceleration factors in clinical routine and research. In this study, we examined four variants of a four-fold-accelerated MPRAGE protocol (2D-GRAPPA, CAIPIRINHA, CAIPIRINHA elliptical, and segmented MPRAGE) and compared clinical readings, basic image quality metrics (SNR, CNR), and automated brain tissue segmentation for morphological assessments of brain structures. The results were benchmarked against a widely-used two-fold-accelerated 3T ADNI MPRAGE protocol that served as reference in this study. 22 healthy subjects (age = 20-44 yrs.) were imaged with all MPRAGE variants in a single session. An experienced reader rated all images of clinically useful image quality. CAIPIRINHA MPRAGE scans were perceived on average to be of identical value for reading as the reference ADNI-2 protocol. SNR and CNR measurements exhibited the theoretically expected performance at the four-fold acceleration. The results of this study demonstrate that the four-fold accelerated protocols introduce systematic biases in the segmentation results of some brain structures compared to the reference ADNI-2 protocol. Furthermore, results suggest that the increased noise levels in the accelerated protocols play an important role in introducing these biases, at least under the present study conditions. (C) 2015 Elsevier Inc. All rights reserved.

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Type
research article
DOI
10.1016/j.neuroimage.2015.08.026
Web of Science ID

WOS:000366646700016

Author(s)
Falkovskiy, Pavel  
Brenner, Daniel
Feiweier, Thorsten
Kannengiesser, Stephan
Marechal, Benedicte
Kober, Tobias
Roche, Alexis
Thostenson, Kaely
Meuli, Reto
Reyes, Denise
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Date Issued

2016

Publisher

Academic Press Inc Elsevier Science

Published in
Neuroimage
Volume

124

Issue

part A

Start page

157

End page

167

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
IEL  
Available on Infoscience
February 16, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/123843
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