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基于 3D 多重敏感编码与重建(3D-MUSER)的三维(3D)扩散加权交错回波平面成像相位校正。

Phase correction for three-dimensional (3D) diffusion-weighted interleaved EPI using 3D multiplexed sensitivity encoding and reconstruction (3D-MUSER).

机构信息

Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong.

State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong.

出版信息

Magn Reson Med. 2018 May;79(5):2702-2712. doi: 10.1002/mrm.26944. Epub 2017 Sep 23.

DOI:10.1002/mrm.26944
PMID:28940484
Abstract

PURPOSE

Three-dimensional (3D) multiplexed sensitivity encoding and reconstruction (3D-MUSER) algorithm is proposed to reduce aliasing artifacts and signal corruption caused by inter-shot 3D phase variations in 3D diffusion-weighted echo planar imaging (DW-EPI).

THEORY AND METHODS

3D-MUSER extends the original framework of multiplexed sensitivity encoding (MUSE) to a hybrid k-space-based reconstruction, thereby enabling the correction of inter-shot 3D phase variations. A 3D single-shot EPI navigator echo was used to measure inter-shot 3D phase variations. The performance of 3D-MUSER was evaluated by analyses of point-spread function (PSF), signal-to-noise ratio (SNR), and artifact levels. The efficacy of phase correction using 3D-MUSER for different slab thicknesses and b-values were investigated.

RESULTS

Simulations showed that 3D-MUSER could eliminate artifacts because of through-slab phase variation and reduce noise amplification because of SENSE reconstruction. All aliasing artifacts and signal corruption in 3D interleaved DW-EPI acquired with different slab thicknesses and b-values were reduced by our new algorithm. A near-whole brain single-slab 3D DTI with 1.3-mm isotropic voxel acquired at 1.5T was successfully demonstrated.

CONCLUSION

3D phase correction for 3D interleaved DW-EPI data is made possible by 3D-MUSER, thereby improving feasible slab thickness and maximum feasible b-value. Magn Reson Med 79:2702-2712, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

摘要

目的

提出三维(3D)多路灵敏度编码和重建(3D-MUSER)算法,以减少 3D 扩散加权回波平面成像(DW-EPI)中由于三维相位变化引起的混叠伪影和信号失真。

理论与方法

3D-MUSER 将多路灵敏度编码(MUSE)的原始框架扩展到基于混合 k 空间的重建,从而能够校正三维相位变化。使用 3D 单次 EPI 导航回波来测量三维相位变化。通过点扩散函数(PSF)、信噪比(SNR)和伪影水平的分析来评估 3D-MUSER 的性能。研究了 3D-MUSER 对不同层厚和 b 值的相位校正效果。

结果

模拟结果表明,3D-MUSER 可以消除由于层间相位变化引起的伪影,并减少由于 SENSE 重建引起的噪声放大。使用新算法可减少不同层厚和 b 值采集的 3D 交错 DW-EPI 中的所有混叠伪影和信号失真。成功演示了在 1.5T 上采集的具有 1.3mm 各向同性体素的近全脑单层面 3D DTI。

结论

3D-MUSER 实现了 3D 交错 DW-EPI 数据的 3D 相位校正,从而提高了可行的层厚和最大可行的 b 值。磁共振医学 79:2702-2712,2018。©2017 国际磁共振学会。

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