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TranSDFNet:基于变压器的截断的签名距离场,用于可移动部分牙套扣的形状设计

Xinze Shen, Changdong Zhang, Xiuyi Jia

IEEE journal of biomedical and health informatics

|July 20, 2023

概括

本研究引入了一种人工智能算法,用于自动设计可拆卸部分假牙 (RPD) 扣子. 这种新的方法使用U形网络和基于voxel的表示来提高数字牙科假肢的准确性和效率.

科学领域:

生物医学工程生物医学工程
计算机科学计算机科学
牙科假体牙科假体

背景情况:

全球人口老龄化增加了可拆卸部分假牙 (RPD) 的需求,作为部分牙的经济有效解决方案.
对于牙科技术人员来说,RPD的数字设计存在挑战,原因是不同的临床场景和组件的复杂性.

研究的目的:

开发一种自动化的方法来设计RPD扣子,这是可拆卸部分假牙的关键组成部分.
为了加速RPD制造的数字工作流.

主要方法:

与变压器块集成的U形网络被用于自动化的RPD扣子生成.
基于voxel的截断的签名距离字段 (TSDF) 被用作改进重建的中间表示.
实施了选择性插入方案和新的加权损失函数,以解决内存限制和信号噪声的问题.

主要成果:

与现有的最先进的重建方法相比,提出的算法显示出更高的性能.
该TSDF代表导致了降低分辨率灵敏度和更顺的重建.
选择性插入方案使得即使数据有限,也能够有效运行.

结论:

开发的算法有效地自动化了RPD扣子设计,为数字牙科提供了重大进步.
这种智能辅助系统有可能为牙科专业人员简化假牙设计过程.

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