基于图像融合的低剂量CBCT增强方法,可用于可视化微螺丝插入到infrazygomatic峰中的微螺丝插入
Peipei Sun1,2, Jinghui Yang1,2, Xue Tian1,2
1State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
BMC medical imaging
|May 17, 2024
概括
这项研究引入了一种新的低剂量形束计算断层扫描 (CBCT) 图像增强方法,使用图像融合. 该技术在牙科CBCT扫描中提高了可见性和对比度,有助于亚阴茎小螺丝植入.
科学领域:
- 数字牙科数字牙科
- 医学成像医学成像
- 图像处理 图像处理
背景情况:
- 牙科中低剂量圆束计算断层扫描 (CBCT) 往往患有图像质量差,包括暴露不足,过度暴露,可见度低和对比度低.
- 这些图像质量问题可能会阻碍准确的诊断和手术规划,特别是在诸如子体小螺丝插入等手术中.
研究的目的:
- 开发和验证用于牙科应用的低剂量CBCT图像增强方法.
- 提高口腔CBCT图像的解释性,特别是解决过度/不足曝光,低可见度和低对比度的问题.
- 通过增强的CBCT成像,促进精确的阴茎下小螺丝植入.
主要方法:
- 提出了一种新型的图像融合技术,集成一个利校正模块,以弥补暴露不足/过度区域的细节损失.
- 设计了一个使用II型模糊集的可见性恢复模块和使用曲线转换的对比度增强模块.
- 一个感知融合模块结合了增强的可见性和对比信息,以全面改善图像.
主要成果:
- 拟议的方法有效地解决了口腔CBCT图像中的过度暴露,低暴露,低可见性和低对比度.
- 与现有的先进增强算法相比,比较和消去实验显示出更高的性能.
- 与表现最好的方法相比,增强算法在两个数据集上实现了0.07-2的评估指标改进.
结论:
- 开发的低剂量CBCT图像增强方法显著提高了牙科应用的图像质量和可解释性.
- 该技术显示了增强潜体小螺丝植入所需的可视化增强的希望.
- 拟议的算法为改善牙科中低剂量CBCT成像提供了一个强大的解决方案.
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