Three-dimensional Determination of Dental Occlusion and Facial Structures using Soft Tissue Cephalometric Analysis

R Adaskevicius,A Vasiliauskas

doi:10.5755/j01.eee.121.5.1658

Abstract

A high accuracy 3D structured-light scanning system and method for integration of 3D digital dental cast models and human face model is proposed. The original two cameras and DLP projector system for surface 3D reconstruction is designed. The techniques for alignment of 3D human face model with the 3D dental cast models according their location and orientation in a mouth is presented. This technique allows evaluation of morphological parameters used for treatment planning and gives to a dentist new effective and convenient means for teeth occlusion study and documenting. This system is useful objective tool for medical tasks solution and further investigations are required in order to confirm effectiveness in orthodontic patients care. Ill. 5, bibl. 8 (in English; abstracts in English and Lithuanian).DOI: http://dx.doi.org/10.5755/j01.eee.121.5.1658

Highlights

Soft tissue normals, in the form of facial lines and angles were established in some traditional cephalometric analyses, but they were limited in their number and description – emphasis was placed on skeletal and dental structures within the headfilm
New cephalometric analysis was proposed, which suggested a method of soft tissue cephalometric analysis (STCA) and soft tissue cephalometric planning [1]
The digital light projector (DLP) projector projects computer generated digital fringe patterns composing of vertical straight stripes onto the dental cast surface

Summary

Introduction

In the form of facial lines and angles were established in some traditional cephalometric analyses, but they were limited in their number and description – emphasis was placed on skeletal and dental structures within the headfilm. For acquisition of surface shape of plaster dental arch models, a structured-light 3D scanner was used This is a device for measuring the three-dimensional (3D) shape of an object using projected light patterns and a camera system. The DLP projector projects computer generated digital fringe patterns composing of vertical straight stripes onto the dental cast surface. The combination of Gray code patterns and phase-shifting cosine patterns allows forming a continuous function that describes the absolute fringe position in the field of view. The result of those calculations is a point cloud, which is a dense series of unconnected points representing dental cast surface. Both cameras use Tamron M118FM16 lenses with a focal distance of 16 mm

Materials and method

Results

Conclusions