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用于高信噪比效率和各向同性图像分辨率的扩散加权 3D 多切片回波平面成像。

Diffusion-weighted 3D multislab echo planar imaging for high signal-to-noise ratio efficiency and isotropic image resolution.

机构信息

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden.

出版信息

Magn Reson Med. 2013 Dec;70(6):1507-14. doi: 10.1002/mrm.24594. Epub 2013 Jan 28.

DOI:10.1002/mrm.24594
PMID:23359357
Abstract

PURPOSE

To acquire isotropic high-resolution, signal-to-noise ratio (SNR) efficient, 3D encoded diffusion-weighted MRI data.

METHODS

Multiple Fourier encoded slabs were combined into one full volume, using a generalized autocalibrating partially parallel acquisitions (GRAPPA) accelerated diffusion-weighted 3D multislab echo planar imaging (EPI) sequence with 2D phase navigation and in-plane motion correction.

RESULTS

Reconstructed data with 1.5-mm(3) nominal resolution is presented and shown under the influence of motion and with variable slab thicknesses. The SNR efficiency between diffusion-weighted 3D multislab EPI and DW 2D ss-EPI is compared. Finally, a 1.3-mm(3) full brain scan with 45 diffusion directions is presented.

CONCLUSIONS

Diffusion-weighted 3D multislab EPI has been presented as an alternative sequence for high-resolution and high-SNR full brain coverage diffusion studies. Compared with the gold standard 2D diffusion-weighted single-shot Echo Planar Imaging, the SNR efficiency is significantly higher.

摘要

目的

获取各向同性、高分辨率、信噪比(SNR)高效的 3D 编码扩散加权 MRI 数据。

方法

使用广义自校准部分并行采集(GRAPPA)加速的扩散加权 3D 多层面回波平面成像(EPI)序列,结合二维相位导航和平面内运动校正,将多个傅里叶编码层面组合成一个完整的容积。

结果

呈现了具有 1.5mm(3)名义分辨率的重建数据,并展示了在运动影响下和不同层面厚度下的数据。比较了扩散加权 3D 多层面 EPI 与 DW 2D ss-EPI 的 SNR 效率。最后,呈现了一个具有 45 个扩散方向的 1.3mm(3)全脑扫描。

结论

扩散加权 3D 多层面 EPI 已作为一种替代序列,用于高分辨率和高 SNR 全脑覆盖扩散研究。与金标准的 2D 扩散加权单次激发 EPI 相比,其 SNR 效率显著更高。

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