Yavuz Ilik Selin, Otani Tomohiro, Yamada Shigeki, Watanabe Yoshiyuki, Wada Shigeo
Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan.
Department of Neurosurgery, Shiga University of Medical Science, Otsu, Shiga, Japan.
Magn Reson Med. 2022 May;87(5):2412-2423. doi: 10.1002/mrm.29111. Epub 2021 Dec 6.
Phase-contrast MRI (PC-MRI) of cerebrospinal fluid (CSF) velocity is used to evaluate the characteristics of intracranial diseases, such as normal-pressure hydrocephalus (NPH). Nevertheless, PC-MRI has several potential error sources, with eddy-current-based phase offset error being non-negligible in CSF measurement. In this study, we assess the measurement error of CSF velocity maps obtained using 4D flow MRI and evaluate correction methods.
CSF velocity maps of 10 patients with NPH were acquired using 4D flow MRI (velocity-encoding = 5 cm/s). Distributed phase offset error was estimated for a whole 3D background field by polynomial fitting using robust regression analysis. This estimated phase offset error was then used to correct the CSF velocity maps. The estimated error profiles were compared with those obtained using an existing 2D correction approach involving local background information near the region of interest.
The residual standard error of the polynomial fitting against the phase offset error extracted from the measured velocities was within 0.2 cm/s. The spatial dependencies of the phase offset errors showed similar tendencies in all cases, but sufficient differences in these values were found to indicate requirement of velocity correction. Differences of the estimated errors among other correction approaches were in the order of 10 cm/s, and the estimated errors were in good agreement with those obtained using existing approaches.
Our method is capable of estimating the measurement error of CSF velocity maps obtained from 4D flow MRI and provides quantitatively reasonable characteristics for the main CSF profile in the cerebral aqueduct in patients with NPH.
脑脊液(CSF)速度的相位对比磁共振成像(PC-MRI)用于评估颅内疾病的特征,如正常压力脑积水(NPH)。然而,PC-MRI存在几个潜在的误差源,基于涡流的相位偏移误差在CSF测量中不可忽略。在本研究中,我们评估了使用4D流动MRI获得的CSF速度图的测量误差并评估了校正方法。
使用4D流动MRI(速度编码=5cm/s)获取10例NPH患者的CSF速度图。通过使用稳健回归分析的多项式拟合估计整个3D背景场的分布相位偏移误差。然后使用该估计的相位偏移误差校正CSF速度图。将估计的误差轮廓与使用涉及感兴趣区域附近局部背景信息的现有二维校正方法获得的误差轮廓进行比较。
针对从测量速度中提取的相位偏移误差的多项式拟合的剩余标准误差在0.2cm/s以内。相位偏移误差的空间依赖性在所有情况下均显示出相似的趋势,但发现这些值存在足够差异,表明需要进行速度校正。其他校正方法之间估计误差的差异约为10cm/s,估计误差与使用现有方法获得的误差高度一致。
我们的方法能够估计从4D流动MRI获得的CSF速度图的测量误差,并为NPH患者中脑导水管主要CSF轮廓提供定量合理的特征。