深度学习辅助的CBCT细分为下缺陷提供了可靠的体积评估,与微型CT相比,用于3D打印和手术规划
Mohsen Shalalvand1, Sina Haghanifar2, Ehsan Moudi3
1Student Research Committee, Babol University of Medical Sciences, Babol, Iran.
Scientific reports
|October 29, 2025
概括
圆束计算断层扫描 (CBCT) 准确评估骨缺陷体积,可与微型CT相比较. 较小的voxel大小 (0.1毫米) 提高了准确性,这对于精确的外科计划和牙科3D建模至关重要.
科学领域:
- 生物医学成像技术 生物医学成像技术
- 牙科技术 牙科技术
- 放射学 放射学是一门学科.
背景情况:
- 精确的体积测量对骨内病变的评估对于临床应用,如手术规划和治疗监测至关重要.
- 圆束计算断层扫描 (CBCT) 越来越多地用于数字牙科,但其体积准确性需要彻底调查.
- 关于影响骨缺陷CBCT体积精度的因素的研究有限.
研究的目的:
- 调查影响人工下骨缺陷CBCT体积精度的因素.
- 将CBCT测量与微型CT进行比较作为黄金标准.
- 优化诊断协议和牙科中CBCT的临床应用.
主要方法:
- 在子下 (前后区域) 中创建了28个人造骨缺陷.
- 采用0.1mm和0.2mm voxel大小获得的CBCT图像,使用微型CT作为黄金标准.
- 使用ImageJ (半自动细分) 和Avizo (深度学习细分) 分析图像.
主要成果:
- 在CBCT体积测量中,与微型CT没有显著差异 (p > 0.05).
- 与0.1mm (p <0.05) 相比,更大的voxel大小 (0.2mm) 显著低估了缺陷体积.
- 分段软件和缺陷位置没有显著影响体积精度.
结论:
- CBCT是下骨缺陷体积评估的可靠工具,与微型CT有很强的一致性.
- 使用较小的voxel尺寸 (0.1毫米) 对于在要求精度的应用中最大限度地提高准确性至关重要.
- 深度学习细分为传统方法提供了有效的替代方案,简化了数字牙科工作流程,而不影响准确性.
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