Johnson Curtis L, Holtrop Joseph L, McGarry Matthew D J, Weaver John B, Paulsen Keith D, Georgiadis John G, Sutton Bradley P
Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Magn Reson Med. 2014 Feb;71(2):477-85. doi: 10.1002/mrm.25065.
To develop an acquisition scheme for generating MR elastography (MRE) displacement data with whole-brain coverage, high spatial resolution, and adequate signal-to-noise ratio (SNR) in a short scan time.
A 3D multislab, multishot acquisition for whole-brain MRE with 2.0 mm isotropic spatial resolution is proposed. The multislab approach allowed for the use of short repetition time to achieve very high SNR efficiency. High SNR efficiency allowed for a reduced acquisition time of only 6 min while the minimum SNR needed for inversion was maintained.
The mechanical property maps estimated from whole-brain displacement data with nonlinear inversion (NLI) demonstrated excellent agreement with neuroanatomical features, including the cerebellum and brainstem. A comparison with an equivalent 2D acquisition illustrated the improvement in SNR efficiency of the 3D multislab acquisition. The flexibility afforded by the high SNR efficiency allowed for higher resolution with a 1.6 mm isotropic voxel size, which generated higher estimates of brainstem stiffness compared with the 2.0 mm isotropic acquisition.
The acquisition presented allows for the capture of whole-brain MRE displacement data in a short scan time, and may be used to generate local mechanical property estimates of neuroanatomical features throughout the brain.
开发一种采集方案,以在短扫描时间内生成具有全脑覆盖、高空间分辨率和足够信噪比(SNR)的磁共振弹性成像(MRE)位移数据。
提出了一种用于全脑MRE的三维多层面、多激发采集方法,各向同性空间分辨率为2.0毫米。多层面方法允许使用短重复时间来实现非常高的SNR效率。高SNR效率使得采集时间仅减少到6分钟,同时保持了反演所需的最低SNR。
通过非线性反演(NLI)从全脑位移数据估计的力学特性图与包括小脑和脑干在内的神经解剖特征显示出极好的一致性。与等效的二维采集进行比较,说明了三维多层面采集在SNR效率方面的提高。高SNR效率带来的灵活性允许使用1.6毫米各向同性体素大小实现更高分辨率,与2.0毫米各向同性采集相比,生成了更高的脑干硬度估计值。
所提出的采集方法能够在短扫描时间内获取全脑MRE位移数据,并可用于生成整个大脑神经解剖特征的局部力学特性估计。