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人工智能生成与人工智能生成. 传统STL模型在CBCT成像中:关于测量的准确性和可靠性的试点研究

İsmet Ersalıcı¹, Secil Aksoy², Beste Kamiloglu¹

¹Department of Orthodontics, Faculty of Dentistry, Near East University, Nicosia, Cyprus.

Journal of imaging informatics in medicine

|April 16, 2025

概括

这项研究发现,虽然来自STL模型的下测量是可靠的,但大测量显示出变化,特别是在某些软件中. 仔细选择细分方法对于准确的3D模型分析至关重要.

科学领域:

牙科牙科是指牙科的专业.
医疗成像医学成像
生物医学工程生物医学工程

背景情况:

圆束计算断层扫描 (CBCT) 广泛用于牙科成像.
立体石刻 (STL) 模型和3D硬组织模型是从CBCT获得的,用于分析.
从这些模型中评估线性测量的可靠性对于临床和研究应用至关重要.

研究的目的:

评估从STL模型与大和下3D硬组织模型中的线性测量的可靠性.
通过不同的软件 (Maxilim®,Mimics®) 和用于STL模型创建的AI诊断工具生成的测量结果进行比较.

主要方法:

使用100个CBCT扫描来创建3D硬组织模型 (Maxilim®) 和STL模型 (Mimics®,AI工具).
记录了五个下和三个大的线性测量.
统计分析包括图基测试,类内相关系数 (ICC) 和ANOVA来评估可靠性和差异.

主要成果:

来自STL模型的下部测量显示出高可靠性 (ICC:0.902-0.999).
部测量显示出更大的变化 (ICC:0.456-0.997),特定测量 (DFPM,DSN) 显示某些软件之间的可靠性较差.
3D硬组织模型通常比STL模型产生更高的测量值.

结论:

来自STL模型的部测量不如下部测量那么可靠,受解剖复杂性和细分算法的影响.
细分方法的选择显著影响了测量的一致性.
精心选择细分技术对于牙科和研究中准确的3D模型分析至关重要.

关键词:

三维体积模型的3D体积模型.人工智能的人工智能是人工智能.在CBCT中,CBCT是CBCT.迪科姆公司 (DICOM)在STL模型中,STL模型是

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