从临床上健康的成年人胸部CT采集的放射学数据集
Viktoria Bedei1,2, Mykola Ostrovskyy1,2, Nilanjan Dey3
1Department of Phthisiology and Pulmonology with a Course in Occupational Diseases, Ivano-Frankivsk National Medical University, Halytska 2, Ivano-Frankivsk 76018, Ukraine.
Data in brief
|February 24, 2026
概括
本研究介绍了健康个体肺部放射性特征的结构化数据集,这对于在肺部成像研究和疾病建模中建立规范性参考至关重要.
科学领域:
- 医疗成像医学成像
- 无线电学 (Radiomics) 是一种辐射学.
- 计算解剖学的计算解剖学
背景情况:
- 放射学正在成为瘤学和其他领域定量图像分析的强大工具.
- 标准化数据集对于开发强大且可重复的放射性模型至关重要.
- 目前,对于健康受试者肺部放射性特征的规范性数据有限.
研究的目的:
- 描述由健康受试者胸部计算机断层扫描 (CT) 扫描得出的肺部放射性特征的结构化数据集.
- 为建立规范性放射性值和基准分析分析管道提供全面的资源.
- 为了促进各种扩散性和区域特异性肺部疾病的比较建模.
主要方法:
- 100名健康受试者在单个扫描仪上使用统一的协议进行胸部非对比CT.
- 肺叶,血管和呼吸道使用TotalSegmentator进行了细分,生成"原始"和"体"的面具.
- 107个放射性特征 (形状,第一阶段,纹理) 用PyRadiomics在两个衰减范围内的固定设置被提取.
主要成果:
- 创建了一个结构化数据集,包括CT协议,特征表 (原始和帕伦基马面具),环境描述,提取脚本和字典文件.
- 每个受试者抽取了八个感兴趣区域 (ROI) 的特征,包括整个肺部,单个叶片和副体.
- 该数据集为健康队列中的肺放射学提供了规范性参考.
结论:
- 这一数据集是肺部放射学领域的宝贵规范性参考.
- 它可以作为协调和稳定性研究的基准.
- 这些数据支持扩散性和区域特异性肺部疾病的比较建模,有助于诊断和表征.
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