School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China; School of Information Science and Technology, ShanghaiTech University, Shanghai, China.
Department of Radiology, International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.
Neuroimage. 2021 Nov 1;241:118412. doi: 10.1016/j.neuroimage.2021.118412. Epub 2021 Jul 20.
In magnetic resonance imaging (MRI) studies of fetal brain development, structural brain atlases usually serve as essential references for the fetal population. Individual images are usually normalized into a common or standard space for analysis. However, the existing fetal brain atlases are mostly based on MR images obtained from Caucasian populations and thus are not ideal for the characterization of the fetal Chinese population due to neuroanatomical differences related to genetic factors. In this paper, we use an unbiased template construction algorithm to create a set of age-specific Chinese fetal atlases between 21-35 weeks of gestation from 115 normal fetal brains. Based on the 4D spatiotemporal atlas, the morphological development patterns, e.g., cortical thickness, cortical surface area, sulcal and gyral patterns, were quantified. The fetal brain abnormalities were detected when referencing the age-specific template. Additionally, a direct comparison of the Chinese fetal atlases and Caucasian fetal atlases reveals dramatic anatomical differences, mainly in the medial frontal and temporal regions. After applying the Chinese and Caucasian fetal atlases separately to an independent Chinese fetal brain dataset, we find that the Chinese fetal atlases result in significantly higher accuracy than the Caucasian fetal atlases in guiding brain tissue segmentation. These results suggest that the Chinese fetal brain atlases are necessary for quantitative analysis of the typical and atypical development of the Chinese fetal population in the future. The atlases with their parcellations are now publicly available at https://github.com/DeepBMI/FBA-Chinese.
在胎儿脑发育的磁共振成像 (MRI) 研究中,结构脑图谱通常作为胎儿人群的重要参考。个体图像通常被归一化为用于分析的公共或标准空间。然而,现有的胎儿脑图谱大多基于从白种人群中获得的磁共振图像,因此由于与遗传因素相关的神经解剖差异,对于中国胎儿人群的特征描述并不理想。在本文中,我们使用无偏置模板构建算法从 115 个正常胎儿脑中创建了一组 21-35 孕周的特定年龄的中国胎儿图谱。基于 4D 时空图谱,定量了形态发育模式,例如皮质厚度、皮质表面积、脑沟和脑回模式。当参考特定年龄的模板时,检测到胎儿脑异常。此外,中国胎儿图谱与白种人胎儿图谱的直接比较揭示了明显的解剖差异,主要在额内侧和颞部区域。将中国和白种人胎儿图谱分别应用于独立的中国胎儿脑数据集后,我们发现中国胎儿图谱在指导脑组织分割方面的准确性明显高于白种人胎儿图谱。这些结果表明,未来中国胎儿脑图谱对于中国胎儿人群典型和非典型发育的定量分析是必要的。图谱及其分区现在可在 https://github.com/DeepBMI/FBA-Chinese 上获得。