回顾性脑运动校正在谷氨酸化学交换饱和传递（GluCEST）MRI 中的应用。
Retrospective Brain Motion Correction in Glutamate Chemical Exchange Saturation Transfer (GluCEST) MRI.
机构信息
Faculty of Health Sciences and Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia.
Center for Bioimaging of New Drug Development, Asan Medical Center, Asan Institute for Life Sciences, Seoul, Republic of Korea.
出版信息
Mol Imaging Biol. 2019 Dec;21(6):1064-1070. doi: 10.1007/s11307-019-01352-3.
PURPOSE
To evaluate the feasibility of motion correction in glutamate chemical exchange saturation transfer (GluCEST) imaging, using a rat model of epileptic seizure.
PROCEDURES
Epileptic seizure was induced in six male Wistar rats by intraperitoneal injection of kainic acid (KA). CEST data were obtained using a 7.0 T Bruker MRI scanner before and 3 h after KA injection. Retrospective motion correction was performed in CEST images using a gradient-based motion correction (GradMC) algorithm. GluCEST signals in the hippocampal regions were quantitatively evaluated with and without motion correction.
RESULTS
Calculated GluCEST signals differed significantly between the pre-KA injection group, regardless of motion-correction implementation, and the post-KA injection group with motion correction (3.662 ± 1.393 % / 3.726 ± 1.982 % for pre-KA injection group with/without motion correction vs. 6.996 ± 1.684 % for post-KA injection group with motion correction; all P < 0.05).
CONCLUSIONS
Our results clearly show that GradMC can be used in CEST imaging for efficient correction of seizure-like motion. The GradMC can be further implemented in various CEST imaging techniques to increase the accuracy of analysis.
目的
使用癫痫发作大鼠模型，评估谷氨酸化学交换饱和传递（GluCEST）成像中运动校正的可行性。
方法
通过腹腔注射海人酸（KA）在六只雄性 Wistar 大鼠中诱导癫痫发作。在 KA 注射前和 3 小时后，使用 7.0 T Bruker MRI 扫描仪获得 CEST 数据。使用基于梯度的运动校正（GradMC）算法在 CEST 图像中进行回顾性运动校正。在进行和不进行运动校正的情况下，定量评估海马区的 GluCEST 信号。
结果
无论是否实施运动校正，KA 注射前组和 KA 注射后组（进行运动校正）之间的计算 GluCEST 信号差异均有统计学意义（KA 注射前组进行和不进行运动校正的信号分别为 3.662 ± 1.393 % / 3.726 ± 1.982 %，而 KA 注射后组进行运动校正的信号为 6.996 ± 1.684 %；所有 P 值均 < 0.05）。
结论
我们的结果清楚地表明，GradMC 可用于 CEST 成像中，以有效校正癫痫样运动。GradMC 可以进一步应用于各种 CEST 成像技术，以提高分析的准确性。
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