Head motion measurement and correction using FID navigators.
Head motion measurement and correction using FID navigators.
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DOI：
10.1002/mrm.27381
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发表时间：
2019-01
影响因子：
3.3
通讯作者：
Warfield SK
中科院分区：
文献类型：
--
作者：
Wallace TE;Afacan O;Waszak M;Kober T;Warfield SK
利用多通道头部线圈阵列的FID导航仪（FIDnavs）开发一种新的框架，用于MRI中快速，固有的头部运动测量。fidnav编码大量刚体运动信息；然而，目前的实现需要使用外部跟踪数据对患者进行特定的训练，以提取定量的位置变化。在这项工作中，利用空间线圈灵敏度模型中的参考图像的模拟运动来校准FIDnav信号的正演模型。将FIDnav模块插入非选择性3D FLASH序列中，利用非线性优化方法对每次读取时间的刚体运动参数进行回顾性估计，以解决测量的FIDnav所带来的逆问题。该方法在模拟数据和7名志愿者中进行了测试，使用32通道头部线圈阵列进行3T扫描，执行一系列定向运动范例。相对于电磁跟踪系统提供的地面真实运动测量，FIDnav运动估计在所有受试者和扫描中实现了0.34±0.49 mm和0.52±0.61°的平均绝对误差。通过FIDnav运动估计进行回顾性校正，在所有有意头部运动的扫描中，定量图像质量指标都有了实质性的改善。采用基于fidnav的方法可以有效地估计定量刚体运动信息，这代表了一种在缺乏合作的患者群体中进行回顾性运动补偿的实用方法。
To develop a novel framework for rapid, intrinsic head motion measurement in MRI using FID navigators (FIDnavs) from a multi-channel head coil array. FIDnavs encode substantial rigid-body motion information; however, current implementations require patient-specific training with external tracking data to extract quantitative positional changes. In this work, a forward model of FIDnav signals was calibrated using simulated movement of a reference image within a model of the spatial coil sensitivities. An FIDnav module was inserted into a non-selective 3D FLASH sequence and rigid-body motion parameters were retrospectively estimated every readout time using non-linear optimization to solve the inverse problem posed by the measured FIDnavs. This approach was tested in simulated data and in seven volunteers, scanned at 3T with a 32-channel head coil array, performing a series of directed motion paradigms. FIDnav motion estimates achieved mean absolute errors of 0.34 ± 0.49 mm and 0.52 ± 0.61° across all subjects and scans, relative to ground-truth motion measurements provided by an electromagnetic tracking system. Retrospective correction with FIDnav motion estimates resulted in substantial improvements in quantitative image quality metrics across all scans with intentional head motion. Quantitative rigid-body motion information can be effectively estimated using the proposed FIDnav-based approach, which represents a practical method for retrospective motion compensation in less cooperative patient populations.
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影响因子：
3.3
作者：
Kober, Tobias;Marques, Jose P.;Krueger, Gunnar
通讯作者：
Krueger, Gunnar
影响因子：
3.3
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Warfield, Simon K.
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3.3
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通讯作者：
Schoelkopf, Bernhard
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2.5
作者：
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通讯作者：
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