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High-resolution distortion-free diffusion imaging using hybrid spin-warp and echo-planar PSF-encoding approach

机译:使用混合旋转翘曲和回波平面PSF编码方法的高分辨率失真扩散成像

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摘要

High-resolution diffusion-weighted imaging (DWI) has great potential to provide unique information about tissue microstructure in-vivo. Although single-shot echo-planar imaging (EPI) is a most popular tool for DWI, its application for high-resolution DWI is limited due to T2* blurring and susceptibility-and eddy-current induced geometric distortions, especially at ultra-high field (UHF) such as 7T. In this study, we adapt a hybrid spin-warp and echo-planar encoding strategy inspired by point spread function (PSF) mapping and optimize it for high-resolution and distortion-free diffusion imaging applications. More specifically, a 2D navigator echo is added into the original sequence for shot-to-shot motion-induced phase error estimation and correction. The spatial encoding is shared between the PSF and the EPI phase encoding dimension allowing short echo trains to preserve the diffusion and navigator signals efficiently at UHF, where T2 decay is relatively fast. In addition, variable k-space spacing was applied in the PSF dimension and combined with parallel imaging in the EPI-PE dimension to further accelerate the PSF acquisition. The results demonstrate that this method can yield isotropic submillimeter resolution without T2* blurring and geometric distortions at 7T and enables a clear and detailed delineation of human brain structures in-vivo with the diffusion contrasts. In addition, results of the proposed approach for high-resolution diffusion imaging at 3 T are presented.
机译:高分辨率扩散加权成像(DWI)具有巨大的潜力,可以提供有关体内组织微观结构的独特信息。虽然单次回声平面成像(EPI)是DWI最受欢迎的工具,但其对高分辨率DWI的应用受到影响,由于T2 *模糊和易感性和涡流引起的几何扭曲,尤其是超高场(UHF)如7t。在这项研究中,通过点扩散函数(PSF)映射的激发灵感的混合旋转翘曲和回声平面编码策略,并优化用于高分辨率和无失真扩散成像应用。更具体地,将2D导航器回声添加到原始序列中以进行拍摄运动诱导的相位误差估计和校正。在PSF和EPI相位编码尺寸之间共享空间编码,允许短回波培训以在UHF上有效地保留扩散和导航器信号,其中T2衰减相对较快。另外,在PSF尺寸中施加可变k空间间距,并与EPI-PE维度的并行成像组合,以进一步加速PSF采集。结果表明,该方法可以在没有T2 *模糊和7T的模糊和几何失真的情况下产生各向同性的亚麻尺寸分辨率,并且能够通过扩散对比度清晰详细地描绘人脑结构。另外,提出了3吨在3T的高分辨率扩散成像方法的结果。

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