Zheng Hui, Wang Xinyun, Liu Ming, Yin Qiufeng, Zhang Zhengwei, Wei Ying, Shi Feng, Wang Dengbin, Zhang Yuzhen
Department of Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No. 1665 Kongjiang Road, Shanghai, 200092, China.
Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd, No. 2258 Chengbei Road, Shanghai, 201807, China.
J Imaging Inform Med. 2024 Nov 13. doi: 10.1007/s10278-024-01305-5.
To establish a quantitative reference for brain structural changes in children with neurological disorders, we employed deep learning technique to brain region segmentation and volumetric analysis within a cohort of healthy children. In this study, we recruited 312 participants aged 1.5 to 14.5 years (210 boys and 102 girls), dividing them into five age groups. High-resolution structural T1-weighted images were obtained, and an established toolkit utilizing deep learning algorithms was employed for brain region segmentation. For each age group, the volumes of gray matter and white matter, along with the thickness and surface area of the cortex, were calculated and compared between boys and girls. The results indicated that the volumes of gray matter and white matter in both bilateral cerebral hemispheres, as well as the total brain volume, increased with age. Furthermore, the volumes of the left and right hippocampus, amygdala, and thalamus also demonstrated an increase as age progressed. Conversely, cortical thickness and surface area decreased with age. Our findings provide a quantitative reference for understanding brain structural changes in children with neurological disorders.
为了建立神经疾病患儿脑结构变化的定量参考标准，我们运用深度学习技术对一组健康儿童进行脑区分割和体积分析。在本研究中，我们招募了312名年龄在1.5至14.5岁之间的参与者（210名男孩和102名女孩），将他们分为五个年龄组。获取了高分辨率的结构T1加权图像，并使用一个利用深度学习算法的既定工具包进行脑区分割。对于每个年龄组，计算了灰质和白质的体积以及皮质的厚度和表面积，并在男孩和女孩之间进行了比较。结果表明，双侧大脑半球的灰质和白质体积以及全脑体积均随年龄增长而增加。此外，随着年龄的增长，左右海马体、杏仁核和丘脑的体积也呈现出增加的趋势。相反，皮质厚度和表面积随年龄增长而减小。我们的研究结果为理解神经疾病患儿的脑结构变化提供了定量参考标准。
