Prospective motion correction with volumetric navigators (vNavs) reduces the bias and variance in brain morphometry induced by subject motion.
Prospective motion correction with volumetric navigators (vNavs) reduces the bias and variance in brain morphometry induced by subject motion.
复制标题
使用体积导航器（VNAV）校正前瞻性运动校正可减少受试者运动诱导的脑形态计量学的偏差和方差。
DOI：
10.1016/j.neuroimage.2015.11.054
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发表时间：
2016-02-15
期刊：
影响因子：
5.7
通讯作者：
van der Kouwe AJW
中科院分区：
文献类型：
--
作者：
Tisdall MD;Reuter M;Qureshi A;Buckner RL;Fischl B;van der Kouwe AJW
最近的工作表明，即使运动太小而无法产生明显的图像伪影，对象运动也会在广泛使用的形态测量软件包计算的指标中产生系统偏差。在常见情况下，与实验群体相比，对照群体在扫描仪中表现出不同的行为，这些系统测量偏差可能会对组间分析产生显着的混淆，从而导致关于群体差异的错误结论。虽然之前的工作表明前瞻性运动校正可以提高感知图像质量，但在这里我们证明，在执行各种定向运动的健康受试者中，使用体积导航器（vNav）前瞻性运动校正系统可显着减少运动引起的形态测量偏差和方差。
Recent work has demonstrated that subject motion produces systematic biases in the metrics computed by widely used morphometry software packages, even when the motion is too small to produce noticeable image artefacts. In the common situation where the control population exhibits different behaviours in the scanner when compared to the experimental population, these systematic measurement biases may produce significant confounds for between-group analyses, leading to erroneous conclusions about group differences. While previous work has shown that prospective motion correction can improve perceived image quality, here we demonstrate that, in healthy subjects performing a variety of directed motions, the use of the volumetric navigator (vNav) prospective motion correction system significantly reduces the motion-induced bias and variance in morphometry.