自动化或面部虚拟患者创建使用两个队列的MSCT与CBCT扫描
Thanatchaporn Jindanil1,2,3, Oana-Elena Burlacu-Vatamanu4,5, Benedetta Baldini4,6,7
1OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium. Thanatchaporn.jindanil@kuleuven.be.
Head & face medicine
|March 29, 2025
概括
人工智能 (AI) 能够从各种牙科扫描中快速,准确地创建虚拟患者 (VP). 与半自动注册相比,人工智能驱动的方法提供了更高的一致性和速度,在软组织注册方面,多切片和形束计算断层扫描之间没有显著差异.
科学领域:
- 牙科技术 牙科技术
- 医学成像医学成像
- 医疗保健中的人工智能
背景情况:
- 虚拟模拟正在牙科医疗保健中取得进展.
- 不同的断层扫描技术对虚拟患者 (VP) 创建的影响尚未完全理解.
- 本研究解决了使用各种成像数据比较VP创建方法的需要.
研究的目的:
- 从面部扫描 (FS),口腔内扫描 (IOS),多切片计算机断层扫描 (MSCT) 和圆束计算机断层扫描 (CBCT) 来自动创建VP.
- 从数量上比较人工智能驱动,人工智能精炼和半自动注册 (SAR) VP创建的MSCT和CBCT.
- 评估软组织对MSCT和CBCT之间注册准确性的影响.
主要方法:
- 用20个FS,IOS和 (MS/CB) CT扫描的数据集来生成自动化的VP.
- 使用Mimics软件对准了人工智能驱动,人工智能改进和SAR VP注册方法的准确性,一致性和时间效率.
- 表面距离测量评估了软组织对FS和 (MS/CB) CT染之间注册的影响.
主要成果:
- 所有的注册方法都实现了100%的准确性,用于MSCT和CBCT的VP创建.
- 人工智能驱动和人工智能精制的方法显示出完美的一致性 (1.00),而SAR的一致性略低.
- 人工智能驱动的注册比SAR快得多,MSCT总注册时间比CBCT短.
- 人工智能驱动的方法导致表面距离小于SAR.
结论:
- 人工智能利用FS,IOS和 (MS/CB) CT数据促进快速,准确和一致的VP创建.
- 人工智能驱动,人工智能精炼和SAR方法在VP创建中表现出很好的准确性.
- 软组织登记显示MSCT和CBCT技术之间没有显著差异.
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