You Wonsang, Serag Ahmed, Evangelou Iordanis E, Andescavage Nickie, Limperopoulos Catherine
Division of Diagnostic Imaging and Radiology, Childrens National Medical Center, 111 Michigan Ave. N.W., Washington, D.C., USA.
Division of Fetal and Transitional Medicine, Childrens National Medical Center, 111 Michigan Ave. N.W., Washington, D.C., USA ; Division of Neonatology, Childrens National Medical Center, 111 Michigan Ave. N.W., Washington, D.C., USA.
Proc SPIE Int Soc Opt Eng. 2015 Mar 17;9417:941700. doi: 10.1117/12.2082451.
Subject motion is a major challenge in functional magnetic resonance imaging studies (fMRI) of the fetal brain and placenta during maternal hyperoxia. We propose a motion correction and volume outlier rejection method for the correction of severe motion artifacts in both fetal brain and placenta. The method is optimized to the experimental design by processing different phases of acquisition separately. It also automatically excludes high-motion volumes and all the missing data are regressed from ROI-averaged signals. The results demonstrate that the proposed method is effective in enhancing motion correction in fetal fMRI without large data loss, compared to traditional motion correction methods.
在母体高氧期间对胎儿大脑和胎盘进行功能磁共振成像研究（fMRI）时，受试者运动是一个主要挑战。我们提出了一种运动校正和体积异常值剔除方法，用于校正胎儿大脑和胎盘的严重运动伪影。该方法通过分别处理采集的不同阶段来针对实验设计进行优化。它还会自动排除高运动体积，并且所有缺失数据都会从感兴趣区域（ROI）平均信号中进行回归分析。结果表明，与传统运动校正方法相比，所提出的方法在增强胎儿功能磁共振成像的运动校正方面有效，且不会造成大量数据丢失。
