Engineering Laboratory for Biomaterials and Tissue Regeneration, Ningbo Stomatology Hospital, Ningbo 315000, China.
Comput Intell Neurosci. 2022 May 20;2022:4675181. doi: 10.1155/2022/4675181. eCollection 2022.
The goal of this research was to provide a new approach for analyzing orthodontic teeth arrangement inside oral depending on the rotation matrix computation and resistance detection. The present method includes the following operations within a certain therapy period: first three-dimensional positions of the tooth were evaluated with a pierced laser beam and a three-dimensional system of surface-scanning. Second, the three-dimensional shape data was automatically registered at maxillary 1 molars, and methods of coordinate had been normalized. Third, a translation vector and rotation matrix had been evaluated from automatic registration of two position data of a particular tooth. Fourth, the limited spiral axes of teeth had been measured as the zero rotational dislocation locus; and impressions for a model of the dental cast had been taken at five different points: shortly before and after device was fitted, and ten days, one month, and two months after the treatment started. The results showed that existing analysis approach could more quickly classify a specific tooth's movement by spinning all over and translating along a finite helical axis. It can provide statistical visual three-dimensional data on complex tooth arrangement throughout orthodontic therapy.
本研究旨在提供一种新的方法，通过旋转矩阵计算和阻力检测来分析口腔内正畸牙齿的排列。该方法包括以下几个步骤：首先，使用穿孔激光束和三维表面扫描系统评估牙齿的三维位置。其次，将三维形状数据自动注册在上颌第一磨牙上，并对坐标进行标准化处理。然后，从特定牙齿的两个位置数据的自动注册中评估平移向量和旋转矩阵。第四，测量牙齿的有限螺旋轴作为零旋转脱位轨迹；并在五个不同点上取牙模的印模：在装置安装前后不久，以及治疗开始后十天、一个月和两个月。结果表明，现有的分析方法可以通过沿有限螺旋轴旋转和平移更快速地对特定牙齿的运动进行分类。它可以为正畸治疗过程中的复杂牙齿排列提供统计可视化的三维数据。
