Literature DB >> 26297848

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

Pavel Falkovskiy1, Daniel Brenner2, Thorsten Feiweier3, Stephan Kannengiesser3, Bénédicte Maréchal4, Tobias Kober4, Alexis Roche4, Kaely Thostenson5, Reto Meuli6, Denise Reyes5, Tony Stoecker2, Matt A Bernstein5, Jean-Philippe Thiran7, Gunnar Krueger8.   

Abstract

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 ~1mm isotropic resolution require data acquisition time in the range of 5-10min 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=20-44yrs.) 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.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26297848     DOI: 10.1016/j.neuroimage.2015.08.026

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  4 in total

1.  Basic MR sequence parameters systematically bias automated brain volume estimation.

Authors:  Sven Haller; Pavel Falkovskiy; Reto Meuli; Jean-Philippe Thiran; Gunnar Krueger; Karl-Olof Lovblad; Tobias Kober; Alexis Roche; Bénédicte Marechal
Journal:  Neuroradiology       Date:  2016-09-13       Impact factor: 2.804

2.  Feasibility of accelerated 3D T1-weighted MRI using compressed sensing: application to quantitative volume measurements of human brain structures.

Authors:  Uten Yarach; Suwit Saekho; Kawin Setsompop; Atita Suwannasak; Ratthaporn Boonsuth; Kittichai Wantanajittikul; Salita Angkurawaranon; Chaisiri Angkurawaranon; Prapatsorn Sangpin
Journal:  MAGMA       Date:  2021-06-28       Impact factor: 2.310

3.  Magnetization-prepared shells trajectory with automated gradient waveform design.

Authors:  Yunhong Shu; Shengzhen Tao; Joshua D Trzasko; John Huston; Paul T Weavers; Matt A Bernstein
Journal:  Magn Reson Med       Date:  2017-08-21       Impact factor: 4.668

4.  Image-Quality Assessment of 3D Intracranial Vessel Wall MRI Using DANTE or DANTE-CAIPI for Blood Suppression and Imaging Acceleration.

Authors:  B Sannananja; C Zhu; C G Colip; A Somasundaram; M Ibrahim; T Khrisat; M Mossa-Basha
Journal:  AJNR Am J Neuroradiol       Date:  2022-05-26       Impact factor: 4.966

  4 in total

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