Rigid real-time prospective motion-corrected three-dimensional multiparametric mapping of the human brain
Rigid real-time prospective motion-corrected three-dimensional multiparametric mapping of the human brain
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DOI：
10.1016/j.neuroimage.2022.119176
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发表时间：
2022-04
期刊：
影响因子：
5.7
通讯作者：
S. Fujita;A. Hagiwara;N. Takei;Issei Fukunaga;Y. Hagiwara;T. Ogawa;T. Hatano;D. Rettmann;Suchandrima Banerjee;K. Hwang;Shiori Amemiya;K. Kamagata;N. Hattori;O. Abe;S. Aoki
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文献类型：
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作者：
S. Fujita;A. Hagiwara;N. Takei;Issei Fukunaga;Y. Hagiwara;T. Ogawa;T. Hatano;D. Rettmann;Suchandrima Banerjee;K. Hwang;Shiori Amemiya;K. Kamagata;N. Hattori;O. Abe;S. Aoki
目的开发一种刚性实时运动校正多参数标测技术，并测试定量估计的性能。方法将单次激发的螺旋导航仪集成到多参数成像技术中，使用交错Look-Locker采集序列和T2准备脉冲(3D-QALAS)进行三维量化，进行运动跟踪和校正。对螺旋导航仪进行了优化，并使用标准系统体模对定量测量进行了验证。观察了10名健康志愿者在不同头部运动方式下，运动校正对全脑T1、T2图的影响。最后，对6名帕金森病患者进行了扫描，以评估我们的方法在真实世界中的有效性。结果模型研究表明，所提出的运动校正方法没有引入量化偏差。在平面内和平面内运动的志愿者实验中，显示出改进的参数地图质量和可重复性，可与无运动地面真实情况相媲美。在患者的实际验证中，与未进行运动校正的图像相比，该方法显示出更好的参数映射质量。结论基于3D-QALAS的实时前瞻性运动校正多参数松弛测量提供了健壮且可重复的全脑多参数映射。
PurposeTo develop a rigid real-time prospective motion-corrected multiparametric mapping technique and to test the performance of quantitative estimates.MethodsMotion tracking and correction were performed by integrating single-shot spiral navigators into a multiparametric imaging technique, three-dimensional quantification using an interleaved Look-Locker acquisition sequence with a T2 preparation pulse (3D-QALAS). The spiral navigator was optimized, and quantitative measurements were validated using a standard system phantom. The effect of motion correction on whole-brain T1 and T2 mapping under different types of head motion during the scan was evaluated in 10 healthy volunteers. Finally, six patients with Parkinson's disease, which is known to be associated with a high prevalence of motion artifacts, were scanned to evaluate the effectiveness of our method in the real world.ResultsThe phantom study demonstrated that the proposed motion correction method did not introduce quantitative bias. Improved parametric map quality and repeatability were shown in volunteer experiments with both in-plane and through-plane motions, comparable to the no-motion ground truth. In real-life validation in patients, the approach showed improved parametric map quality compared to images obtained without motion correction.ConclusionsReal-time prospective motion-corrected multiparametric relaxometry based on 3D-QALAS provided robust and repeatable whole-brain multiparametric mapping.