自动测量和参考值设定内脑脊髓液体体积:计算机断层扫描图像的大规模分析
Ruhang Ma1, Jiacheng Hao1, Jing Ding1
1School of Medicine, Nankai University, Tianjin, China.
Quantitative imaging in medicine and surgery
|July 29, 2025
概括
这项研究开发了一种自动化模型,通过CT扫描测量内脑脊髓液 (iCSF) 容量. 根据年龄,性别和大脑缩,建立了iCSF体积的新参考值.
科学领域:
- 放射学和医学成像学 医学成像学
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
背景情况:
- 内脑脊髓液 (iCSF) 容量通常是概括的,缺乏人群特异性数据.
- iCSF体积因年龄,性别和大脑外围细胞体积而有显著变化.
- 现有的文献缺乏对iCSF的精确,人群特定的参考范围.
研究的目的:
- 开发一种自动化模型,用于使用非对比CT进行定量ICSF体积测量.
- 为了确定iCSF体积的性别和年龄特定的参考值.
- 为了创建按大脑缩程度分层的参考值.
主要方法:
- 追溯收集400个无对比脑CT扫描,用于手动划分iCSF.
- 使用UNet Transformers (UNETR) 架构开发一个iCSF提取模型.
- 自动ICSF提取和量化用于1600个案例,以确定参考值.
主要成果:
- 自动化的iCSF模型实现了0.78.8的子系数.
- 对不同年龄组 (≤44至≥75岁) 和性别的iCSF总体体积的确定的参考值.
- 提供了男性和女性脑缩严重程度 (无到严重) 的iCSF总体体积的参考值.
结论:
- 开发的自动化模型在iCSF体积测量方面表现出良好的性能.
- 建立的参考值为iCSF研究提供了关键的特定人口数据.
- 这种定量方法有助于在临床和研究环境中解释iCSF体积.
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