A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm
Abstract Background We aimed to establish a novel method, using the weighted Procrustes analysis (WPA) algorithm, which assigns weight to facial anatomical landmarks, to construct a three-dimensional facial symmetry reference plane (SRP) for mandibular deviation patients. Methods Three-dimensional f...
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doaj-f6e8106840904a1db975e9df2614f8b02020-11-25T04:09:15ZengBMCBMC Oral Health1472-68312020-11-0120111110.1186/s12903-020-01311-3A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithmYujia Zhu0Shengwen Zheng1Guosheng Yang2Xiangling Fu3Ning Xiao4Aonan Wen5Yong Wang6Yijiao Zhao7Center of Digital Dentistry, Peking University School and Hospital of StomatologySchool of Software Engineering, Beijing University of Posts and TelecommunicationsSchool of Software Engineering, Beijing University of Posts and TelecommunicationsSchool of Software Engineering, Beijing University of Posts and TelecommunicationsCenter of Digital Dentistry, Peking University School and Hospital of StomatologyCenter of Digital Dentistry, Peking University School and Hospital of StomatologyCenter of Digital Dentistry, Peking University School and Hospital of StomatologyCenter of Digital Dentistry, Peking University School and Hospital of StomatologyAbstract Background We aimed to establish a novel method, using the weighted Procrustes analysis (WPA) algorithm, which assigns weight to facial anatomical landmarks, to construct a three-dimensional facial symmetry reference plane (SRP) for mandibular deviation patients. Methods Three-dimensional facial SRPs were independently extracted from 15 mandibular deviation patients using both our WPA algorithm and the standard PA algorithm. A reference plane was defined to serve as the ground truth. To determine whether the WPA SRP or the PA SRP was closer to the ground truth, we measured the position error of mirrored landmarks, the facial asymmetry index (FAI) error, and the angle error for the global face and each facial third partition. Results The average angle error between the WPA SRP and the ground truth was 1.66 ± 0.81°, which was smaller than that between the PA SRP and the ground truth. The position error of the mirrored landmarks constructed using the WPA algorithm in the global face (3.64 ± 1.53 mm) and each facial partition was lower than that constructed using the PA algorithm. The average FAI error of the WPA SRP was − 7.77 ± 17.02 mm, which was smaller than that of the PA SRP. Conclusions This novel automatic algorithm, based on weighted anatomic landmarks, can provide a more adaptable SRP than the standard PA algorithm when applied to severe mandibular deviation patients and can better simulate the diagnosis strategies of clinical experts.http://link.springer.com/article/10.1186/s12903-020-01311-3Symmetry reference planeProcrustes analysisThree-dimensional facial dataMandibular deviationAnatomic landmarks |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yujia Zhu Shengwen Zheng Guosheng Yang Xiangling Fu Ning Xiao Aonan Wen Yong Wang Yijiao Zhao |
spellingShingle |
Yujia Zhu Shengwen Zheng Guosheng Yang Xiangling Fu Ning Xiao Aonan Wen Yong Wang Yijiao Zhao A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm BMC Oral Health Symmetry reference plane Procrustes analysis Three-dimensional facial data Mandibular deviation Anatomic landmarks |
author_facet |
Yujia Zhu Shengwen Zheng Guosheng Yang Xiangling Fu Ning Xiao Aonan Wen Yong Wang Yijiao Zhao |
author_sort |
Yujia Zhu |
title |
A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm |
title_short |
A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm |
title_full |
A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm |
title_fullStr |
A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm |
title_full_unstemmed |
A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm |
title_sort |
novel method for 3d face symmetry reference plane based on weighted procrustes analysis algorithm |
publisher |
BMC |
series |
BMC Oral Health |
issn |
1472-6831 |
publishDate |
2020-11-01 |
description |
Abstract Background We aimed to establish a novel method, using the weighted Procrustes analysis (WPA) algorithm, which assigns weight to facial anatomical landmarks, to construct a three-dimensional facial symmetry reference plane (SRP) for mandibular deviation patients. Methods Three-dimensional facial SRPs were independently extracted from 15 mandibular deviation patients using both our WPA algorithm and the standard PA algorithm. A reference plane was defined to serve as the ground truth. To determine whether the WPA SRP or the PA SRP was closer to the ground truth, we measured the position error of mirrored landmarks, the facial asymmetry index (FAI) error, and the angle error for the global face and each facial third partition. Results The average angle error between the WPA SRP and the ground truth was 1.66 ± 0.81°, which was smaller than that between the PA SRP and the ground truth. The position error of the mirrored landmarks constructed using the WPA algorithm in the global face (3.64 ± 1.53 mm) and each facial partition was lower than that constructed using the PA algorithm. The average FAI error of the WPA SRP was − 7.77 ± 17.02 mm, which was smaller than that of the PA SRP. Conclusions This novel automatic algorithm, based on weighted anatomic landmarks, can provide a more adaptable SRP than the standard PA algorithm when applied to severe mandibular deviation patients and can better simulate the diagnosis strategies of clinical experts. |
topic |
Symmetry reference plane Procrustes analysis Three-dimensional facial data Mandibular deviation Anatomic landmarks |
url |
http://link.springer.com/article/10.1186/s12903-020-01311-3 |
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