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A Rule-Based Optimization Method for Tooth Alignment

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PRE
AI
Y
Yuhan Ping
G
Guodong Wei
G
Guangshun Wei
C
Congyi Zhang
N
Noha A. SAID
J
Jia Pan
辛士庆 cover
辛士庆 (Shiqing Xin)
周元峰 cover
周元峰 (Yuanfeng Zhou)
C
Changhe Tu
M
Min Gu
W
Wenping Wang
DOI:10.1109/TVCG.2025.3591425delete
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Abstract

Abstract

En 中文
While tooth alignment is crucial for digital dentistry, especially in orthodontic treatment, existing computer-aided methods mainly focus on the 3D dental crown but overlook the entire teeth, which is essential for applications in orthodontics. Besides, clinical orthodontic rules are not fully considered in these methods, i.e., there should be no collisions and gaps between teeth, the upper jaw and lower jaw should have correct occlusion relationships, the teeth should comply with a reasonable dental arch curve, etc. To generate optimal tooth alignment results, we propose a rule-based optimization method for solving the tooth alignment problem that takes into consideration the clinical rules functionally and aesthetically. We optimize rule-driven objective functions by adjusting the 6-DoF transformations of each tooth. Besides, our optimization formulation supports customization for different clinical scenarios by specifying the various energy terms. Extensive experiments, ablation studies, and user studies have been conducted to validate the effectiveness of our method. Quantitative and qualitative comparisons demonstrate that our method generates better tooth alignments than previous methods.
Keywords:
Energy system
orthodontics
optimization
tooth alignment

Journal

IEEE Transactions on Visualization and Computer Graphics cover
IEEE Transactions on Visualization and Computer Graphics
IF:
6.5
Papers:
294
Citations:
2.2W

Organization

U
University of Hong Kong
Scholars:
4.1W
Papers: 3.9W
Citations: 10.1W
C
college station
Scholars:
1.4K
Papers: 640
Citations: 6
S
shandong university
Scholars:
9.3W
Papers: 6.4W
Citations: 94
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