Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, US.
Imaging Institute, Cleveland Clinic, Cleveland, Ohio, US.
NMR Biomed. 2021 May;34(5):e4364. doi: 10.1002/nbm.4364. Epub 2020 Jul 20.
Long acquisition times due to intrinsically low signal-to-noise ratio and the need for highly homogeneous B field make MRS particularly susceptible to motion or scanner instability compared with MRI. Motion-induced changes in both localization and shimming (ie B homogeneity) degrade MRS data quality. To mitigate the effects of motion three approaches can be employed: (1) subject immobilization, (2) retrospective correction, and (3) prospective real-time correction using internal and/or external tracking methods. Prospective real-time correction methods can simultaneously update localization and the B field to improve MRS data quality. While localization errors can be corrected with both internal (navigators) and external (optical camera, NMR probes) tracking methods, the B field correction requires internal navigator methods to measure the B field inside the imaged volume and the possibility to update the scanner shim hardware in real time. Internal and external tracking can rapidly update the MRS localization with submillimeter and subdegree precision, while scanner frequency and first-order shims of scanner hardware can be updated by internal methods every sequence repetition. These approaches are most well developed for neuroimaging, for which rigid transformation is primarily applicable. Real-time correction greatly improves the stability of MRS acquisition and quantification, as shown in clinical studies on subjects prone to motion, including children and patients with movement disorders, enabling robust measurement of metabolite signals including those with low concentrations, such as gamma-aminobutyric acid and glutathione. Thus, motion correction is recommended for MRS users and calls for tighter integration and wider availability of such methods by MR scanner manufacturers.
由于固有低信噪比和对高度均匀 B 场的需求,MRS 特别容易受到运动或扫描仪不稳定的影响,与 MRI 相比。定位和调谐(即 B 均匀性)的运动引起的变化会降低 MRS 数据质量。为了减轻运动的影响,可以采用三种方法:(1)受检者固定,(2)回顾性校正,和(3)使用内部和/或外部跟踪方法进行前瞻性实时校正。前瞻性实时校正方法可以同时更新定位和 B 场,以提高 MRS 数据质量。虽然可以使用内部(导航器)和外部(光学相机、NMR 探头)跟踪方法校正定位误差,但 B 场校正需要内部导航器方法来测量成像体积内的 B 场,并有可能实时更新扫描仪调谐硬件。内部和外部跟踪可以以亚毫米和亚度的精度快速更新 MRS 定位,而内部方法可以每重复一次序列来更新扫描仪的频率和硬件的一阶调谐。这些方法在神经影像学中得到了很好的发展,在神经影像学中,刚性变换主要适用。实时校正极大地提高了 MRS 采集和定量的稳定性,如在易受运动影响的受试者(包括儿童和运动障碍患者)的临床研究中所示,能够可靠地测量代谢物信号,包括浓度较低的信号,如γ-氨基丁酸和谷胱甘肽。因此,建议 MRS 用户进行运动校正,并呼吁磁共振扫描仪制造商更紧密地集成和更广泛地提供此类方法。