三维照相系统采集单侧唇腭裂患者面部形态的精确性研究

发布时间：2018-05-14 05:23

  本文选题：唇腭裂 + 面部形态　； 参考：《东南大学学报(医学版)》2017年06期

【摘要】：目的:初步探究三维照相系统采集唇腭裂患者面部软组织三维影像用于临床常用线距及面积测量的精确性。方法:以15个单侧完全性唇腭裂患者颌面部翻制石膏模型为研究对象,分别用三坐标仪与三维照相系统采集模型表面数据,将两组数据均导入Imageware 13.2软件进行图像配准分析,并测量9个临床常用面部软组织表面特征线距与4个区域面积。以三坐标仪采集测量结果为金标准,使用配对t检验法比较三维照相系统采集测量值与标准值有无显著性差异。结果:配准结果显示两组图像在鼻尖和唇峰处偏差较大,统计结果表明5个线距测量项目存在显著性差异(P0.01),但差值均在0~0.5 mm以内;4个面积测量项目中仅患侧唇面积存在统计学差异(P0.05),但面积误差小于8 mm~2。结论:3dMDFace三维照相系统对唇腭裂患者翻制石膏模型的双侧唇部区域采集测量值与金标准相比存在显著差异,但误差值均在临床可接受范围内。
[Abstract]:Objective: to explore the accuracy of 3D imaging of facial soft tissue in patients with cleft lip and palate. Methods: fifteen maxillofacial plaster models of patients with unilateral complete cleft lip and palate were studied. The surface data of the models were collected by 3D camera system and the data were imported into Imageware 13.2 software for image registration analysis. At the same time, 9 facial soft tissue surface features and 4 areas were measured. Taking the measurement results of the 3D camera as the gold standard, a paired t test method was used to compare the difference between the measured values and the standard values of the 3D camera system. Results: the registration results showed that the deviation between the nasal tip and the lip peak was large in the two groups. The statistical results showed that there was significant difference in the five line distance measurement items, but the difference was within 0 ~ 0. 5 mm, and the area error was less than 8 mm / 2 among the four measurement items, only the area of the affected side lip was statistically different (P 0. 05), but the area error was less than 8 mm / 2. Conclusion there is a significant difference between the measured values of bilateral lip region and gold standard in the Gypsum model of cleft lip and cleft palate by using the 3 D MDFace system, but the error is within the range of clinical acceptability.
【作者单位】： 南京医科大学口腔疾病研究江苏省重点实验室;淮安市中医院口腔科;东南大学附属中大医院口腔科;南京医科大学附属口腔医院口腔颌面外科;南京医科大学附属口腔医院正畸科;
【基金】：国家自然科学基金资助项目(81571005) 江苏省六大人才高峰资助(2014-WSW-037) 东南大学计算机网络和信息集成教育部重点实验室开放课题资助项目(K93-9-2016-07) 江苏省优势学科资助项目(JX105318021025)
【分类号】：R782.2
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本文编号：1886541