Journal of Peking University(Health Sciences) ›› 2015, Vol. 47 ›› Issue (2): 340-343. doi: 10.3969/j.issn.1671-167X.2015.02.030

• Articles • Previous Articles     Next Articles

Comparison of two kinds of methods evaluating the degree of facial asymmetry by three-dimensional data

XIONG Yu-xue1,2,3, YANG Hui-fang1,3, ZHAO Yi-jiao1,3, WANG Yong1,2,3△   

  1. (1.Center of Digital Dentistry, 2.Department of Prosthodontics, 3.National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing 100081, China)
  • Online:2015-04-18 Published:2015-04-18

Abstract: Objective:To compare two digital methods of quantitatively accessing the degree of facial asymmetry by three-dimensional data. Methods: The three-dimensional data of 20 subjects were got by the FaceScan, and then were input to the reverse engineering software Imageware 13.0 and Geomagic 12. Their mirror data were acquired and superimposed with the original data by the methods of interactive closest points (ICP) and Procrustes analysis (PA). The mid-sagittal planes of the two methods were extracted respectively, the degree of facial asymmetry and the distance of 21 automatic landmarks to midsagittal plane were calculated and compared. Results: The paired t test was taken and t=1.346, P=0.193. Conclusion: We can safely come to the conclusions that for the subjects with no evident facial asymmetry, there are no significant difference between the PA and the ICP methods for extracting the mid-sagittal plane from three-dimensional data.

Key words: Facial asymmetry, Imaging, three-dimensional, Interactive closest point, Procrustes analysis

CLC Number: 

  • R783.9
[1] QIU Shu-ting,ZHU Yu-jia,WANG Shi-min,WANG Fei-long,YE Hong-qiang,ZHAO Yi-jiao,LIU Yun-song,WANG Yong,ZHOU Yong-sheng. Preliminary clinical application verification of complete digital workflow of design lips symmetry reference plane based on posed smile [J]. Journal of Peking University (Health Sciences), 2022, 54(1): 193-199.
[2] ZHU Yu-jia,XU Qing,ZHAO Yi-jiao,ZHANG Lei,FU Zi-wang,WEN Ao-nan,GAO Zi-xiang,ZHANG Jun,FU Xiang-ling,WANG Yong. Deep learning-assisted construction of three-demensional facial midsagittal plane [J]. Journal of Peking University (Health Sciences), 2022, 54(1): 134-139.
[3] ZHU Yu-jia,ZHAO Yi-jiao,ZHENG Sheng-wen,WEN Ao-nan,FU Xiang-ling,WANG Yong. A method for constructing three-dimensional face symmetry reference plane based on weighted shape analysis algorithm [J]. Journal of Peking University (Health Sciences), 2021, 53(1): 220-226.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] Author. English Title Test[J]. Journal of Peking University(Health Sciences), 2010, 42(1): 1 -10 .
[2] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 188 -191 .
[3] . [J]. Journal of Peking University(Health Sciences), 2009, 41(3): 376 -379 .
[4] . [J]. Journal of Peking University(Health Sciences), 2009, 41(4): 459 -462 .
[5] . [J]. Journal of Peking University(Health Sciences), 2010, 42(1): 82 -84 .
[6] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 319 -322 .
[7] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 333 -336 .
[8] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 337 -340 .
[9] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 225 -328 .
[10] . [J]. Journal of Peking University(Health Sciences), 2007, 39(4): 346 -350 .