| 张欢欢,李婷婷.基于图谱自动分割儿童颅脑MRI中皮层下核团[J].中国医学影像技术,2024,40(9):1314~1318 |
| 基于图谱自动分割儿童颅脑MRI中皮层下核团 |
| Automatic segmentation of subcortical nuclei on children's cerebral MRI based on atlas |
| 投稿时间：2023-12-20 修订日期：2024-06-10 |
| DOI：10.13929/j.issn.1003-3289.2024.09.008 |
| 中文关键词: 脑 儿童 磁共振成像 自动分割 |
| 英文关键词:brain child magnetic resonance imaging automatic segmentation |
| 基金项目:上海市儿童医院院级课题(2021YLYM03)。 |
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| 中文摘要: |
| 目的 观察基于图谱自动分割儿童颅脑MRI中的皮层下核团的价值。方法 回顾性分析105名0~12岁健康儿童头颅MRI资料,分别利用标准脑模板及图谱基于非线性配准算法于其中自动分割丘脑、尾状核、壳核及苍白球;对比基于图谱非线性配准与线性配准法自动分割皮层下核团效果,以组内相关系数(ICC)及Bland-Altman 图评估基于图谱自动分割法与人工手动分割结果的一致性。结果 基于图谱自动分割儿童颅脑MRI中的丘脑、尾状核、壳核及苍白球的戴斯相似系数(DSC)为0.80~0.93,其95%豪斯多夫距离(HD95)为1.00~8.00 mm,尤以分割壳核效果最佳(P均＜0.05)。基于图谱非线性配准法自动分割皮层下核团的DSC及HD95均显著优于线性配准法(P均＜0.001),且与手动分割结果具有良好一致性(ICC均≥0.80,差值多位于95%一致性界限内)。结论 基于图谱可准确、快捷地自动分割儿童颅脑MRI中的皮层下核团。 |
| 英文摘要: |
| Objective To observe the value of automatic segmentation of subcortical nuclei on children's cerebral MRI based on atlas. Methods Head MRI data of 105 healthy children aged 0—12 years were retrospectively analyzed. The standard brain template and atlas were used to automatically segment the thalamus, caudate nucleus, putamen and globus pallidus on 3D T1WI using nonlinear registration algorithm. The automatic segmentation efficacy of subcortical nuclei were compared between nonlinear registration based on atlas and linear registration, and the consistency between automatic segmentation based on atlas and manual segmentation was evaluated using intra-class correlation coefficient (ICC) and Bland-Altman diagram. Results Dice similarity coefficient (DSC) of automatic segmentation based on atlas for segmenting thalamus, caudate nucleus, putamen and globus pallidus was 0.80—0.93, with 95% Hausdorff distance (HD95) of 1.00—8.00 mm, among which of putamen had the best the segmentation efficacy (all P＜0.05). DSC and HD95 of nonlinear registration based on atlas for segmenting subcortical nuclei on children's MRI were both better than those of linear registration (all P＜0.001), and the segmentation range was in good coefficient with that of manual segmentation (all ICC≥0.80, most of the differences were within 95% coefficient limit). Conclusion Subcortical nuclei on children's cerebral MRI could be accurately and rapidly automatically segmented based on atlas. |
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