Jie Chen1, Shuning Li, Shiaofen Fang. 1. Department of Mechanical Engineering, Indiana University Purdue University, Indianapolis, Indianapolis, IN 46202, USA. jchen3@iupui.edu
Abstract
INTRODUCTION: The objectives of this study were to demonstrate a method that could be used to quantify three-dimensional (3D) tooth displacement from cone-beam computed tomography (CBCT) images and to assess its accuracy. METHODS: Images of the same mandible taken 2 weeks apart with no treatment were used. Four mandibular teeth-left lateral incisor, left canine, left first premolar, and left first molar-either remained unmoved or were artificially displaced with known values on 1 image to simulate after-treatment conditions. The iterative closest point method was used to superimpose the unchanged bony part of the mandible and to find the transformation matrix between a tooth's 2 positions, before and after displacement. Tooth displacement was calculated from the transformation matrix. RESULTS: All 6 displacement components in terms of translations along and rotations about the 3 axes on the tooth were obtained. The results showed that the errors could be managed: they were less than 5% in translation and 10% in rotation. CONCLUSIONS: The 3D tooth displacement can be obtained from CBCT images, and the accuracy is acceptable for clinical use and can be improved when the quality of the images improves.
INTRODUCTION: The objectives of this study were to demonstrate a method that could be used to quantify three-dimensional (3D) tooth displacement from cone-beam computed tomography (CBCT) images and to assess its accuracy. METHODS: Images of the same mandible taken 2 weeks apart with no treatment were used. Four mandibular teeth-left lateral incisor, left canine, left first premolar, and left first molar-either remained unmoved or were artificially displaced with known values on 1 image to simulate after-treatment conditions. The iterative closest point method was used to superimpose the unchanged bony part of the mandible and to find the transformation matrix between a tooth's 2 positions, before and after displacement. Tooth displacement was calculated from the transformation matrix. RESULTS: All 6 displacement components in terms of translations along and rotations about the 3 axes on the tooth were obtained. The results showed that the errors could be managed: they were less than 5% in translation and 10% in rotation. CONCLUSIONS: The 3D tooth displacement can be obtained from CBCT images, and the accuracy is acceptable for clinical use and can be improved when the quality of the images improves.
Authors: Pe dos Santos Neto; Lan dos Santos; R D Coletta; A L Laranjeira; C C de Oliveira Santos; P R Bonan; H Martelli-Júnior Journal: Dentomaxillofac Radiol Date: 2011-05 Impact factor: 2.419
Authors: Marco Migliorati; Lucia Cevidanes; Giordana Sinfonico; Sara Drago; Domenico Dalessandri; Gaetano Isola; Armando Silvestrini Biavati Journal: Head Face Med Date: 2021-01-15 Impact factor: 2.151