Literature DB >> 16705634

Accelerated parallel imaging for functional imaging of the human brain.

Jacco A de Zwart1, Peter van Gelderen, Xavier Golay, Vasiliki N Ikonomidou, Jeff H Duyn.   

Abstract

Accelerated parallel imaging (PI) techniques have recently been applied to functional imaging experiments of the human brain in order to improve the performance of commonly used single-shot techniques like echo-planar imaging (EPI). Potential benefits of PI-fMRI include the reduction of geometrical distortions due to off-resonance signals, the reduction of signal-loss in areas with substantial signal inhomogeneity, increases of the spatial and temporal resolution of the fMRI experiment and reduction of gradient acoustic noise. Although PI generally leads to a substantial decrease in image signal-to-noise ratio (SNR), its effect on the temporal stability of the signal, which ultimately determines fMRI performance, is only partially determined by image SNR. Therefore, the penalty for using PI is generally not as severe as the SNR reduction. The majority of problems related to single-shot techniques become more severe at an increased magnetic field strength, making PI an important tool in achieving the full potential of fMRI at high field. Copyright (c) 2006 John Wiley & Sons, Ltd.

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Mesh:

Year:  2006        PMID: 16705634     DOI: 10.1002/nbm.1043

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  24 in total

Review 1.  Magnetic resonance imaging at ultrahigh fields.

Authors:  Kamil Ugurbil
Journal:  IEEE Trans Biomed Eng       Date:  2014-03-25       Impact factor: 4.538

2.  High resolution single-shot EPI at 7T.

Authors:  Oliver Speck; J Stadler; M Zaitsev
Journal:  MAGMA       Date:  2007-11-01       Impact factor: 2.310

3.  Parallel MRI at microtesla fields.

Authors:  Vadim S Zotev; Petr L Volegov; Andrei N Matlashov; Michelle A Espy; John C Mosher; Robert H Kraus
Journal:  J Magn Reson       Date:  2008-03-06       Impact factor: 2.229

4.  Visual grading of 2D and 3D functional MRI compared with image-based descriptive measures.

Authors:  Mattias Ragnehed; Olof Dahlqvist Leinhard; Johan Pihlsgård; Staffan Wirell; Hannibal Sökjer; Patrik Fägerstam; Bo Jiang; Orjan Smedby; Maria Engström; Peter Lundberg
Journal:  Eur Radiol       Date:  2009-09-02       Impact factor: 5.315

Review 5.  Analyzing for information, not activation, to exploit high-resolution fMRI.

Authors:  Nikolaus Kriegeskorte; Peter Bandettini
Journal:  Neuroimage       Date:  2007-02-27       Impact factor: 6.556

6.  Three dimensional echo-planar imaging at 7 Tesla.

Authors:  B A Poser; P J Koopmans; T Witzel; L L Wald; M Barth
Journal:  Neuroimage       Date:  2010-02-06       Impact factor: 6.556

Review 7.  Impacting the effect of fMRI noise through hardware and acquisition choices - Implications for controlling false positive rates.

Authors:  Lawrence L Wald; Jonathan R Polimeni
Journal:  Neuroimage       Date:  2016-12-28       Impact factor: 6.556

8.  Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI.

Authors:  Steen Moeller; Essa Yacoub; Cheryl A Olman; Edward Auerbach; John Strupp; Noam Harel; Kâmil Uğurbil
Journal:  Magn Reson Med       Date:  2010-05       Impact factor: 4.668

9.  Sliding-window sensitivity encoding (SENSE) calibration for reducing noise in functional MRI (fMRI).

Authors:  Christine S Law; Chunlei Liu; Gary H Glover
Journal:  Magn Reson Med       Date:  2008-11       Impact factor: 4.668

10.  Human fronto-tectal and fronto-striatal-tectal pathways activate differently during anti-saccades.

Authors:  Antoin D de Weijer; Rene C W Mandl; Iris E C Sommer; Matthijs Vink; Rene S Kahn; Sebastiaan F W Neggers
Journal:  Front Hum Neurosci       Date:  2010-05-26       Impact factor: 3.169

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