基于AVIZO软件的CBCT图像中牙,根通道和膜骨的细分和3D重建
Yan Liu1, Chunshen Li1, Pengyu Chen1
1Department of Stomatology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, 710061, Shaanxi, China, xjtu.edu.cn.
International journal of dentistry
|February 23, 2026
概括
这项研究从束计算机断层扫描 (CBCT) 图像开发了一个3D模型,用于个性化牙科治疗规划. 该方法准确地重建牙,根管和骨,使定量分析能够改善临床诊断.
科学领域:
- 牙科成像和建模 牙科成像和建模
- 生物医学工程 生物医学工程
- 计算机辅助诊断 计算机辅助诊断
背景情况:
- 圆束计算断层扫描 (CBCT) 对于牙科成像至关重要.
- 准确的3D重建牙结构对于治疗规划至关重要.
- 现有的方法可能不足以准确地进行详细的定量分析.
研究的目的:
- 从CBCT图像中开发一种细分和3D重建牙,根通道和膜骨的方法.
- 创建一个适合个性化治疗规划的3D模型.
- 为了能够对重建的牙结构进行定量分析.
主要方法:
- 在576张CBCT牙科图像上使用了AVIZO软件和手动细分.
- 应用图像校准,降噪和边缘增强技术.
- 完成了牙,根管和膜骨的细分和3D重建.
主要成果:
- 成功分割和重建牙,根管和气囊骨.
- 能够对3D重建的牙和根管进行定量分析.
- 获得了关于牙和根通道的3D体积,俯冲角,近视角和形状因子的数据.
结论:
- 开发的方法实现了牙结构的准确细分和3D重建.
- 从3D模型中获得的定量数据为个性化治疗规划提供了客观证据.
- 这种技术对牙科的临床诊断和治疗具有重大意义.
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