Literature DB >> 16310105

Reconstruction as a source of artifact in non-gated single-shot diffusion-weighted EPI.

Matthew D Robson1, David A Porter.   

Abstract

A controversy has existed over the requirement to cardiac gate diffusion-weighted MRI acquisitions of the brain. Conventional wisdom suggests gating to be a necessary requirement to allow acquisition of accurate data, but recent applications find gating not necessary. The signal-to-noise and acquisition duration of these two approaches can be quite different; thus, this difference in methodology is important. This is particularly relevant when performing quantitative work such as diffusion tensor imaging. Here, the convention to gate is explained as being due to the historical use of low spatial resolution and more recently to the use of different reconstruction approaches. It is demonstrated that the Margosian reconstruction approach only yields high quality results when used in a gated fashion. Zero padding of the acquisition matrix provides an alternative reconstruction method that is not found to accentuate the artifacts that are due to pulsatile motion in the diffusion-weighted acquisition and thus do not require a gated acquisition. The relative merits of each reconstruction approach are discussed, including estimates of the relative signal-to-noise ratio and resolution benefits. It is concluded that both gated methods and non-gated methods can each provide high quality results with appropriate reconstruction methods.

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Year:  2005        PMID: 16310105     DOI: 10.1016/j.mri.2005.09.005

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  13 in total

1.  Bulk motion-independent analyses of water diffusion changes in the brain during the cardiac cycle.

Authors:  Tomoya Nakamura; Tosiaki Miyati; Harumasa Kasai; Naoki Ohno; Masato Yamada; Mitsuhito Mase; Masaki Hara; Yuta Shibamoto; Yuriko Suzuki; Katsuhiro Ichikawa
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2.  COmplex-Model-Based Estimation of thermal noise for fMRI data in the presence of artifacts.

Authors:  Yin Xu; Gaohong Wu; Daniel B Rowe; Yuan Ma; Rongyan Zhang; Guofan Xu; Shi-Jiang Li
Journal:  Magn Reson Imaging       Date:  2007-02-21       Impact factor: 2.546

3.  Addressing a systematic vibration artifact in diffusion-weighted MRI.

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4.  Keyhole and zero-padding approaches for reduced-encoding diffusion tensor imaging of the mouse brains.

Authors:  Shu-Wei Sun; Yu-Jen Chen; Kun-Hsien Chou; Woei-Chyn Chu
Journal:  Magn Reson Imaging       Date:  2010-09-17       Impact factor: 2.546

5.  Interpersonal competence in young adulthood and right laterality in white matter.

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Journal:  J Cogn Neurosci       Date:  2013-12-17       Impact factor: 3.225

6.  Influence of cardiac motion on diffusion-weighted magnetic resonance imaging of the liver.

Authors:  Thomas C Kwee; Taro Takahara; Tetsu Niwa; Marko K Ivancevic; Gwenael Herigault; Marc Van Cauteren; Peter R Luijten
Journal:  MAGMA       Date:  2009-09-02       Impact factor: 2.310

7.  Retrospective correction of physiological noise in DTI using an extended tensor model and peripheral measurements.

Authors:  Siawoosh Mohammadi; Chloe Hutton; Zoltan Nagy; Oliver Josephs; Nikolaus Weiskopf
Journal:  Magn Reson Med       Date:  2012-08-30       Impact factor: 4.668

8.  Diffusion tractography of post-mortem human brains: optimization and comparison of spin echo and steady-state free precession techniques.

Authors:  Karla L Miller; Jennifer A McNab; Saad Jbabdi; Gwenaëlle Douaud
Journal:  Neuroimage       Date:  2011-10-06       Impact factor: 6.556

9.  Investigating the need of triggering the acquisition for infant diffusion MRI: a quantitative study including bootstrap statistics.

Authors:  Lajos R Kozák; Szabolcs Dávid; Gábor Rudas; Zoltán Vidnyánszky; Alexander Leemans; Zoltán Nagy
Journal:  Neuroimage       Date:  2012-12-14       Impact factor: 6.556

10.  Advances in diffusion MRI acquisition and processing in the Human Connectome Project.

Authors:  Stamatios N Sotiropoulos; Saad Jbabdi; Junqian Xu; Jesper L Andersson; Steen Moeller; Edward J Auerbach; Matthew F Glasser; Moises Hernandez; Guillermo Sapiro; Mark Jenkinson; David A Feinberg; Essa Yacoub; Christophe Lenglet; David C Van Essen; Kamil Ugurbil; Timothy E J Behrens
Journal:  Neuroimage       Date:  2013-05-20       Impact factor: 6.556

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