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从同步辐射相对比微计算机断层扫描图像的骨质链接处的细胞量化,使用深度学习方法

Hao Xu^1,2, Cecile Olivier³, Hajar Sajidy³

¹Institute of Innovation Science and Technology, Shenyang University, Dadong District, Wanghua South Street No. 21, Shenyang, 110044, China. xuhao19901106@hotmail.com.

Scientific reports

|November 28, 2024

概括

研究人员开发了一种新的3D成像方法来分析膝关节软骨和骨中的细胞结构. 骨关节炎影响骨细胞的形状,为疾病机制提供了洞察力.

科学领域:

生物医学工程生物医学工程
整形外科整形外科整形外科
细胞生物学细胞生物学

背景情况:

骨质中介面,包括化软骨 (CC) 和下骨 (SCB),对关节健康至关重要.
这些组织中的软质细胞和骨质细胞相互作用,它们的细胞结构对组织功能至关重要.
了解这种接口的细胞变化是调查关节疾病的关键,如骨关节炎.

研究的目的:

开发和验证一种新的3D细分方法,用于状细胞和骨质细胞缺口.
分析健康和骨关节炎的人类膝盖组织之间的缺口参数的定量差异.
为了研究骨关节炎中骨质链接界面的细胞变化.

主要方法:

使用高分辨率同步辐射相对比微计算机断层扫描 (SR-PC微CT) 进行成像.
开发了一种混合细分方法,将标记控制的流域 (MCW) 与深度学习 (nnU-Net) 结合起来.
定量分析了缺口参数,包括体积分数,数密度,体积,异构性和结构模型指数.

主要成果:

结合的MCW和nnU-Net方法显著改善了细胞缺口细分.
与对照组相比,骨关节性骨细胞表现出减少的异形 (宽度/深度比) 和趋向于更为球形的形状.
在对照组和骨关节炎患者组之间,在状细胞缺口中没有发现显著差异.

结论:

新的3D细分技术准确地区分了CC和SCB,从而实现了详细的细胞分析.
骨关节炎与骨细胞的特定形态变化有关,这表明骨细胞的行为发生了改变.
这种方法为推进对骨关节炎细胞机制的研究提供了宝贵的工具.

关键词:

冠状细胞和骨细胞.深度学习是一种深度学习.骨关节炎是一种骨关节炎.分段化分段化分段化分段化同步辐射相位对比微型计算机断层扫描.流域的流域是一个流域.

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