Motion-compensated 3D turbo spin-echo for more robust MR intracranial vessel wall imaging.

Motion-compensated 3D turbo spin-echo for more robust MR intracranial vessel wall imaging.
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DOI:
10.1002/mrm.28777
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发表时间:
2021-08
影响因子:
3.3
通讯作者:
Fan Z
Fan Z
中科院分区:
医学3区
文献类型:
--
作者:
Hu Z;van der Kouwe A;Han F;Xiao J;Chen J;Han H;Bi X;Li D;Fan Z

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(1)研究内部局部运动对3DMR颅内血管壁成像的影响;(2)开发一种结合容积导航器(vNav)和自门控(SG)的新型运动补偿方法,以同时补偿整体和局部运动。修改了3D可变翻转角涡轮自旋回波(即SPACE)序列,以纳入vNav和SG模块。在每个TR开始时采集来自中心k空间线的SG信号,以检测受局部运动影响的TR。采集来自低分辨率3D EPI的vNavs以识别大块头部运动。本研究招募了15名健康受试者和3名中风患者。在有和没有大块和/或局部运动和/或建议的补偿策略的情况下,比较了总体图像质量(0-差至4-优)和血管壁清晰度。局部运动降低了室壁清晰度,SG显著减轻了这一点(即,基底动脉外边界:0.68 ± 0.27 vs 0.86 ± 0.17; P = 0.037)。当发生运动时,使用vNav-SG SPACE获得的总体图像质量和血管壁清晰度显著高于使用传统SPACE获得的图像质量和血管壁清晰度(即,基底动脉外边界清晰度:0.73 ± 0.24 vs 0.94 ± 0.24; P = 0.033),但与无运动扫描中获得的结果相当(即,基底动脉外边界锐度:0.94 ± 0.24 vs 0.96 ± 0.31; P = 0.815)。在颅内血管壁成像中,局部运动会引起相当大的伪影。vNav-SG方法能够补偿整体和局部运动。
(1) To investigate the effect of internal localized movement on 3DMR intracranial vessel wall imaging and (2) to develop a novel motion-compensation approach combining volumetric navigator (vNav) and self-gating (SG) to simultaneously compensate for bulk and localized movements. A 3D variable-flip-angle turbo spin-echo (ie, SPACE) sequence was modified to incorporate vNav and SG modules. The SG signals from the center k-space line are acquired at the beginning of each TR to detect localized motion-affected TRs. The vNavs from low-resolution 3D EPI are acquired to identify bulk head motion. Fifteen healthy subjects and 3 stroke patients were recruited in this study. Overall image quality (0-poor to 4-excellent) and vessel wall sharpness were compared among the scenarios with and without bulk and/or localized motion and/or the proposed compensation strategies. Localized motion reduced wall sharpness, which was significantly mitigated by SG (ie, outer boundary of basilar artery: 0.68 ± 0.27 vs 0.86 ± 0.17; P = .037). When motion occurred, the overall image quality and vessel wall sharpness obtained with vNav-SG SPACE were significantly higher than those obtained with conventional SPACE (ie, basilarartery outer boundary sharpness: 0.73 ± 0.24 vs 0.94 ± 0.24; P = .033), yet comparable to those obtained in motion-free scans (ie, basilarartery outer boundary sharpness: 0.94 ± 0.24 vs 0.96 ± 0.31; P = .815). Localized movements can induce considerable artifacts in intracranial vessel wall imaging. The vNav-SG approach is capable of compensating for both bulk and localized motions.
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