A study of an analysis system for predicting facial appearance after treatment

本研究的目的是开发一个分析系统来预测义齿治疗后的面部外观。该系统由使用CCD相机的带有三维测量装置（Danae200， NEC工程）的测量部分，使用图像处理软件（3D- rugle4， Medic工程）将面部外观图像处理为线框模型和彩色图像的图像分析部分，以及我们设计的附加软件组成如下。1.利用某些面部形态的线框模型制备两幅平均三维面部图像。2.将两张平均3D面部图像的3D差异数据作为线框模型。3.在原线框模型中添加差值数据，并将彩色图像数据映射到变形后的模型中，生成变形后的线框模型。在本研究中，我们获得了两个平均三维线框模型，分别来自于两个带义齿和不带义齿的全口义齿患者。这些平均三维线框模型用于制备三维差分数据。另一名全口义齿患者取下义齿后获得变形丝框模型及彩色图像数据。将彩色图像数据与变形的线框模型进行纹理映射，得到预测后的面部外观图像。预测的人脸图像与假牙后的真实人脸图像除颏唇沟外基本一致。此外，该系统还应用于颌骨部分缺损的颌面下颌假体患者和种植体患者。在应用于这些具有各自特征的患者时，该系统应该具有附加功能来分析特定的特征。

The aim of this study was to develop an analysis system for predicting facial appearance after denture treatment. The system consisted of a measuring part with a 3D measuring device (Danae200, NEC Engineering) using CCD cameras, an image analysis part with image processing software (3D-Rugle4, Medic engineering) treating the facial appearance image as a wire frame model and color image, and additional software designed by us as follow. 1.Preparing two average 3D facial images using wire frame models of some facial appearances. 2.Preparing 3D difference data between the two average 3D facial images as wire frame models. 3.Preparing a deformed wire frame model by adding the difference data to the original wire frame model and mapping the color image data to the deformed model. In the present study, two average 3D wire frame models were obtained from two complete denture patients with and without their dentures. These average 3D wire frame models were used for preparing 3D difference data. A deformed wire frame model and color image data were obtained for another complete denture patient after removing the denture. A predicted facial appearance image after treatment was prepared by texture mapping the color image data to the deformed wire frame model.The predicted facial appearance image and the real facial appearance image with the new denture were very similar to each other except for the mento-labial sulcus. Furthermore, this system was applied to a maxillofacial-mandibular prosthesis patient with a partial defect of the mandible and an implant patient. In application to these patients with their respective features, this system should have additional functions to analyze particular features.