用于新生儿脑扩散张量成像的快速可靠的基于纤维束的空间统计管道：在白质发育和病变中的应用
Rapid and reliable tract-based spatial statistics pipeline for diffusion tensor imaging in the neonatal brain: Applications to the white matter development and lesions.
作者信息
Li Xianjun, Gao Jie, Wang Miaomiao, Wan Mingxi, Yang Jian
机构信息
Department of Biomedical Engineering, The Key Laboratory of Biomedical Information Engineering of the Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China; Department of Radiology, The First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Department of Radiology, The First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
出版信息
Magn Reson Imaging. 2016 Nov;34(9):1314-1321. doi: 10.1016/j.mri.2016.07.011. Epub 2016 Jul 25.
PURPOSE
The relatively poor image contrast and variation in the neonatal brain size are technical challenges associated with the typical tract-based spatial statistics (TBSS) for the target identification and normalization. This study aimed to develop a rapid and reliable pipeline for the neonatal TBSS.
MATERIALS AND METHODS
A rapid TBSS strategy was proposed based on the group-wise target choice for fractional anisotropy (FA) derived from diffusion tensor imaging (DTI). The most representative subject of the entire group was identified via (a) initial group-averaged template creation (b) followed by identification of the target with the minimum warp displacement score between the individual and the group-averaged template. The computation time, registration quality, measurement of regional values, and statistical analyses were evaluated in two applications: brain white matter development in normal term neonates, and alterations in preterm neonates with white matter lesions compared to the matched controls. These performances in the proposed pipeline were compared with those in the typical and previous neonatal TBSS workflows.
RESULTS
Target choice using the proposed strategy is faster, compared with the previous TBSS pipelines, especially with the increase of the sample size. Registration errors between individuals and the target are assessed through warp displacement scores. Smaller warp displacement scores are observed for the proposed method than the typical pipeline. Due to the relatively accurate registration, the proposed method results in lower standard deviations and higher averaged values of FA across subjects. Additionally, more areas with significant changes related to the development and white matter lesions are detected using the proposed method than previous TBSS pipelines. The proposed pipeline provides stronger correlation between FA and gestational age, and larger difference between preterm neonates with white matter lesions and controls.
CONCLUSION
The proposed TBSS pipeline improves the efficiency and reliability of the DTI analysis in the neonatal brain.
目的
新生儿脑图像对比度相对较差以及脑尺寸变化是基于体素的空间统计分析（TBSS）进行目标识别和标准化时面临的技术挑战。本研究旨在开发一种快速且可靠的新生儿TBSS流程。
材料与方法
基于对扩散张量成像（DTI）衍生的分数各向异性（FA）进行组内目标选择，提出了一种快速TBSS策略。通过（a）初始组平均模板创建，（b）随后识别个体与组平均模板之间具有最小扭曲位移分数的目标，来确定整个组中最具代表性的个体。在两个应用中评估了计算时间、配准质量、区域值测量和统计分析：足月正常新生儿脑白质发育，以及与匹配对照组相比，患有白质病变的早产儿的变化。将所提出流程的这些性能与典型的和先前的新生儿TBSS工作流程进行了比较。
结果
与先前的TBSS流程相比，使用所提出策略进行目标选择更快，尤其是随着样本量的增加。通过扭曲位移分数评估个体与目标之间的配准误差。与典型流程相比，所提出的方法观察到的扭曲位移分数更小。由于配准相对准确，所提出的方法在各受试者中导致更低的标准差和更高的FA平均值。此外，与先前的TBSS流程相比，使用所提出的方法检测到更多与发育和白质病变相关的显著变化区域。所提出的流程在FA与胎龄之间提供了更强的相关性，以及患有白质病变的早产儿与对照组之间更大的差异。
结论
所提出的TBSS流程提高了新生儿脑DTI分析的效率和可靠性。
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