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通过低成本扫描仪获取的面部软组织三维表面模型。

Three-dimensional surface models of the facial soft tissues acquired with a low-cost scanner.

作者信息

Maués C P R, Casagrande M V S, Almeida R C C, Almeida M A O, Carvalho F A R

机构信息

Orthodontic Department, State University of Rio de Janeiro, Vila Isabel, Rio de Janeiro, RJ, Brazil.

Orthodontic Department, State University of Rio de Janeiro, Vila Isabel, Rio de Janeiro, RJ, Brazil.

出版信息

Int J Oral Maxillofac Surg. 2018 Sep;47(9):1219-1225. doi: 10.1016/j.ijom.2018.03.028. Epub 2018 Apr 26.

DOI:10.1016/j.ijom.2018.03.028
PMID:29705405
Abstract

Although there has been an increase in three-dimensional (3D) scanning methods available on the market, they are generally expensive. The DI3D system is considered a good scanner for the acquisition of soft tissue surface images. The Microsoft Kinect scanner is a much more affordable alternative for acquiring 3D models. The aim of this study was to determine whether the precision and accuracy of Kinect are similar to those of DI3D. To verify the accuracy, 10 patients were scanned with both methods The models of each patient acquired from the two scanners were superimposed using a surface-to-surface registration technique, and the distances between the models were recorded for 10 different anatomical regions of interest. For the evaluation of precision, one patient was scanned 11 different times with the Kinect scanner, and these models were compared using the same superimposition method. It was found that the average difference between the two methods was 0.3±2.03mm. The assessment of reproducibility showed an average difference between the images taken with Kinect of 0.1±0.6mm (P<0.05, one-sample t-test). Thus, Kinect showed good precision and reasonable accuracy, and appears to be an interesting and promising resource for facial analysis.

摘要

尽管市面上可用的三维(3D)扫描方法有所增加,但它们通常价格昂贵。DI3D系统被认为是获取软组织表面图像的良好扫描仪。微软Kinect扫描仪是获取3D模型的一种更经济实惠的选择。本研究的目的是确定Kinect的精度和准确性是否与DI3D相似。为验证准确性,对10名患者使用两种方法进行扫描。使用表面到表面配准技术将从两台扫描仪获取的每位患者的模型叠加,并记录模型之间在10个不同感兴趣解剖区域的距离。为评估精度,使用Kinect扫描仪对一名患者进行11次不同扫描,并使用相同的叠加方法比较这些模型。发现两种方法之间的平均差异为0.3±2.03毫米。再现性评估显示,Kinect拍摄的图像之间的平均差异为0.1±0.6毫米(P<0.05,单样本t检验)。因此,Kinect显示出良好的精度和合理的准确性,似乎是面部分析中一种有趣且有前景的资源。

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