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Diffusion tensor imaging (DTI) with retrospective motion correction for large-scale pediatric imaging.弥散张量成像(DTI)结合回顾性运动校正用于大规模儿科成像。
J Magn Reson Imaging. 2012 Oct;36(4):961-71. doi: 10.1002/jmri.23710. Epub 2012 Jun 11.
2
High-resolution human diffusion tensor imaging using 2-D navigated multishot SENSE EPI at 7 T.在 7T 场强下,采用 2D 导航多激发 SENSE EPI 技术进行高分辨率人脑弥散张量成像。
Magn Reson Med. 2013 Mar 1;69(3):793-802. doi: 10.1002/mrm.24320. Epub 2012 May 16.
3
X-PROP: a fast and robust diffusion-weighted propeller technique.X-PROP:一种快速且稳健的扩散加权桨叶技术。
Magn Reson Med. 2011 Aug;66(2):341-7. doi: 10.1002/mrm.23033. Epub 2011 Jun 9.
4
Two-dimensional phase cycled reconstruction for inherent correction of echo-planar imaging Nyquist artifacts.二维相位循环重建用于固有校正回波平面成像奈奎斯特伪影。
Magn Reson Med. 2011 Oct;66(4):1057-66. doi: 10.1002/mrm.22896. Epub 2011 Mar 28.
5
Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging.用于亚秒级全脑 fMRI 和快速扩散成像的多重回波平面成像。
PLoS One. 2010 Dec 20;5(12):e15710. doi: 10.1371/journal.pone.0015710.
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Correcting eddy current and motion effects by affine whole-brain registrations: evaluation of three-dimensional distortions and comparison with slicewise correction.通过仿射全脑配准校正涡流和运动效应:三维变形评估及与分片校正的比较。
Magn Reson Med. 2010 Oct;64(4):1047-56. doi: 10.1002/mrm.22501.
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High efficiency, low distortion 3D diffusion tensor imaging with variable density spiral fast spin echoes (3D DW VDS RARE).采用可变密度螺旋快速自旋回波(3D DW VDS RARE)进行高效、低失真的 3D 扩散张量成像。
Neuroimage. 2010 Jan 15;49(2):1510-23. doi: 10.1016/j.neuroimage.2009.09.010. Epub 2009 Sep 22.
8
High resolution diffusion-weighted imaging using readout-segmented echo-planar imaging, parallel imaging and a two-dimensional navigator-based reacquisition.使用读出分段回波平面成像、并行成像和基于二维导航器的重新采集的高分辨率扩散加权成像。
Magn Reson Med. 2009 Aug;62(2):468-75. doi: 10.1002/mrm.22024.
9
Augmented generalized SENSE reconstruction to correct for rigid body motion.增强型广义灵敏度编码(SENSE)重建以校正刚体运动。
Magn Reson Med. 2007 Jan;57(1):90-102. doi: 10.1002/mrm.21106.
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Nonlinear phase correction of navigated multi-coil diffusion images.导航多线圈扩散图像的非线性相位校正
Magn Reson Med. 2006 Nov;56(5):1135-9. doi: 10.1002/mrm.21046.

一种通过多路灵敏度编码(MUSE)实现的高分辨率扩散加权 MRI 的稳健多-shot 扫描策略。

A robust multi-shot scan strategy for high-resolution diffusion weighted MRI enabled by multiplexed sensitivity-encoding (MUSE).

机构信息

Brain Imaging and Analysis Center, Duke University Medical Center, Box 2737, Hock Plaza, Durham, NC 27710, USA.

出版信息

Neuroimage. 2013 May 15;72:41-7. doi: 10.1016/j.neuroimage.2013.01.038. Epub 2013 Jan 28.

DOI:10.1016/j.neuroimage.2013.01.038
PMID:23370063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3602151/
Abstract

Diffusion weighted magnetic resonance imaging (DWI) data have been mostly acquired with single-shot echo-planar imaging (EPI) to minimize motion induced artifacts. The spatial resolution, however, is inherently limited in single-shot EPI, even when the parallel imaging (usually at an acceleration factor of 2) is incorporated. Multi-shot acquisition strategies could potentially achieve higher spatial resolution and fidelity, but they are generally susceptible to motion-induced phase errors among excitations that are exacerbated by diffusion sensitizing gradients, rendering the reconstructed images unusable. It has been shown that shot-to-shot phase variations may be corrected using navigator echoes, but at the cost of imaging throughput. To address these challenges, a novel and robust multi-shot DWI technique, termed multiplexed sensitivity-encoding (MUSE), is developed here to reliably and inherently correct nonlinear shot-to-shot phase variations without the use of navigator echoes. The performance of the MUSE technique is confirmed experimentally in healthy adult volunteers on 3Tesla MRI systems. This newly developed technique should prove highly valuable for mapping brain structures and connectivities at high spatial resolution for neuroscience studies.

摘要

弥散加权磁共振成像(DWI)数据主要通过单次激发回波平面成像(EPI)采集,以最大程度减少运动引起的伪影。然而,即使采用并行成像(通常加速因子为 2),单次激发 EPI 的空间分辨率也固有地受到限制。多激发采集策略可能具有更高的空间分辨率和保真度,但它们通常容易受到激发之间运动引起的相位误差的影响,而扩散敏感梯度会使相位误差恶化,从而导致重建图像无法使用。已经表明,可以使用导航回波校正激发之间的逐拍相位变化,但这是以成像吞吐量为代价的。为了解决这些挑战,本文开发了一种新颖且稳健的多激发 DWI 技术,称为多路灵敏度编码(MUSE),可在不使用导航回波的情况下可靠且固有地校正非线性逐拍相位变化。在 3T MRI 系统上对健康成年志愿者进行了实验验证,证实了 MUSE 技术的性能。这项新开发的技术对于在高空间分辨率下进行神经科学研究以绘制大脑结构和连接性应该非常有价值。