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在相对比微CT中使用条件生成对抗网络进行空气工件抑制

Md Motiur Rahman Sagar¹, Lorenzo D'Amico², Elena Longo²

¹Translational Molecular Imaging, Max-Plank-Institute for Multidisciplinary Sciences, Germany.

Journal of synchrotron radiation

|March 26, 2025

概括

本研究介绍了一种使用条件生成对抗网络 (cGAN) 来在3D虚拟组织学中去除空气工件的新方法. 这项技术增强了用相位对比微型计算机断层扫描 (micro-CT) 扫描的甲固定,嵌 (FFPE) 肺组织的可视化和分析.

科学领域:

生物医学成像技术生物医学成像技术
计算病理学计算病理学
历史学历史学历史学

背景情况:

阶段对比微型计算机断层扫描 (micro-CT) 允许在没有重离子染色的情况下对甲固定,嵌 (FFPE) 组织进行3D虚拟组织学.
由于边缘效应,FFPE组织中被困的空气对微型CT中的3D可视化和结构分析构成重大挑战.

研究的目的:

开发和验证一种新的工作流程,以消除FFPE组织的3D相位对比微型CT扫描中的空气工件.
改进3D可视化,并促进受空气入影响的肺组织的结构分析.

主要方法:

开发了一个基于条件生成对抗网络 (cGAN) 的工作流程,以用生成的组织取代空气工件区域.
生成模型被训练来合成由周围形态学影响的组织结构.
该方法在FFPE肺组织上进行了测试,并验证了可转移到猪肺样本的可用性.

主要成果:

基于cGAN的工作流有效地从FFPE肺组织的相对照微型CT扫描中去除了空气工件.
该方法显著改善了肺组织结构的可视化.
对空气工件抑制扫描的结构分析显著缓解.

结论:

拟议的cGAN工作流提供了一个强大的解决方案,用于减轻FFPE组织的3D虚拟组织学中的空气工件.
这种技术增强了相对比微型CT的实用性,用于详细的形态研究和结构分析,特别是在挑战肺部等软组织时.
证明的可转移性表明FFPE在不同的组织类型中具有广泛的适用性.

关键词:

FFPE肺组织的肺组织.空气工件抑制抑制抑制空气工件抑制有条件的GANs.阶段对比微型CT-CT.虚拟组织学虚拟组织学

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