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口周扫描和人工皮肤标记对面部虚拟融合准确性的影响:体视摄影术与智能手机三维面部扫描比较。

The Effect of Perioral Scan and Artificial Skin Markers on the Accuracy of Virtual Dentofacial Integration: Stereophotogrammetry Versus Smartphone Three-Dimensional Face-Scanning.

机构信息

Institute for Translational Research in Dentistry, Kyungpook National University, Daegu 41940, Korea.

Department of Prosthodontics, School of Dentistry, Kyungpook National University, Daegu 41940, Korea.

出版信息

Int J Environ Res Public Health. 2020 Dec 30;18(1):229. doi: 10.3390/ijerph18010229.

DOI:10.3390/ijerph18010229
PMID:33396780
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7795468/
Abstract

This study evaluated the effects of different matching methods on the accuracy of dentofacial integration in stereophotogrammetry and smartphone face-scanning systems. The integration was done (N = 30) with different matching areas ( = 10), including teeth image only (TO), perioral area without markers (PN) and with markers (PM). The positional accuracy of the integrated models was assessed by measuring the midline linear deviations and incisal line canting between the experimental groups and laser scanner-based reference standards. Kruskal-Wallis and Mann-Whitney U tests were used for statistical analyses (α = 0.05). The PM method exhibited the smallest linear deviations in both systems; while the highest deviations were found in the TO in stereophotogrammetry; and in PN in smartphone. For the incisal line canting; the canting degree was the lowest in the PM method; followed by that in the TO and the PN in both systems. Although stereophotogrammetry generally exhibited higher accuracy than the smartphone; the two systems demonstrated no significant difference when the perioral areas were used for matching. The use of perioral scans with markers enables accurate dentofacial image integration; however; cautions should be given on the accuracy of the perioral image obtained without the use of markers.

摘要

本研究评估了不同匹配方法对立体摄影测量和智能手机面部扫描系统中牙颌面整合准确性的影响。通过不同的匹配区域(n=30)进行整合,包括仅牙齿图像(TO)、无标记的口周区域(PN)和有标记的口周区域(PM)。通过测量实验组与激光扫描基准之间的中线线性偏差和切牙线倾斜来评估整合模型的位置准确性。采用 Kruskal-Wallis 和 Mann-Whitney U 检验进行统计分析(α=0.05)。PM 方法在两个系统中表现出最小的线性偏差;而在立体摄影测量中,TO 表现出最大的偏差;在智能手机中,PN 表现出最大的偏差。对于切牙线倾斜,PM 方法的倾斜程度最低,其次是 TO 和 PN。尽管立体摄影测量系统的准确性通常高于智能手机,但当使用口周区域进行匹配时,两个系统之间没有显著差异。使用带有标记的口周扫描可以实现准确的牙颌面图像整合;然而,对于没有使用标记获得的口周图像的准确性,应谨慎对待。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/56ab61907921/ijerph-18-00229-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/e1bfb33396b1/ijerph-18-00229-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/754c9797a0c9/ijerph-18-00229-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/bbd99bb5c07e/ijerph-18-00229-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/ac287dc9dff1/ijerph-18-00229-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/2bf201bcaa18/ijerph-18-00229-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/6e5b4a7b8d9f/ijerph-18-00229-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/e7879329fd19/ijerph-18-00229-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/56ab61907921/ijerph-18-00229-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/e1bfb33396b1/ijerph-18-00229-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/754c9797a0c9/ijerph-18-00229-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/bbd99bb5c07e/ijerph-18-00229-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/ac287dc9dff1/ijerph-18-00229-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/2bf201bcaa18/ijerph-18-00229-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/6e5b4a7b8d9f/ijerph-18-00229-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/e7879329fd19/ijerph-18-00229-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8b0/7795468/56ab61907921/ijerph-18-00229-g008.jpg

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