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Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space
Zhang, Jianda2,3; Li, Chunpeng3; Song, Qiang3; Gao, Lin3,4; Lai, Yu-Kun1
2020-05-01
发表期刊GRAPHICAL MODELS
ISSN1524-0703
卷号109页码:10
摘要Automatic segmentation of 3D tooth models into individual teeth is an important step in orthodontic CAD systems. 3D tooth segmentation is a mesh instance segmentation task. Complex geometric features on the surface of 3D tooth models often lead to failure of tooth boundary detection, so it is difficult to achieve automatic and accurate segmentation by traditional mesh segmentation methods. We propose a novel solution to address this problem. We map a 3D tooth model isomorphically to a 2D harmonic parameter space and convert it into an image. This allows us to use a CNN to learn a highly robust image segmentation model to achieve automated and accurate segmentation of 3D tooth models. Finally, we map the image segmentation mask back to the 3D tooth model and refine the segmentation result using an improved Fuzzy-Clustering-and-Cuts algorithm. Our method has been incorporated into an orthodontic CAD system, and performs well in practice.
关键词Tooth segmentation Convolutional neural networks Dental mesh Maximum flow Surface parameterization
DOI10.1016/j.gmod.2020.101071
收录类别SCI
语种英语
资助项目Science and Technology Service Network Initiative[KFJ-STS-ZDTP-070] ; Science and Technology Service Network Initiative[KFJ-STS-QYZD-129] ; National Key R&D Program of China[2018AAA0103002] ; Royal Society Newton Advanced Fellowship[NAF\R2\192151] ; Shenzhen Research Institute of Big Data[2019ORF01013]
WOS研究方向Computer Science
WOS类目Computer Science, Software Engineering
WOS记录号WOS:000536855200005
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
引用统计
被引频次:16[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/15331
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhang, Jianda
作者单位1.Cardiff Univ, Sch Comp Sci & Informat, Cardiff, Wales
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
4.Shenzhen Res Inst Big Data, Shenzhen 518172, Peoples R China
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GB/T 7714
Zhang, Jianda,Li, Chunpeng,Song, Qiang,et al. Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space[J]. GRAPHICAL MODELS,2020,109:10.
APA Zhang, Jianda,Li, Chunpeng,Song, Qiang,Gao, Lin,&Lai, Yu-Kun.(2020).Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space.GRAPHICAL MODELS,109,10.
MLA Zhang, Jianda,et al."Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space".GRAPHICAL MODELS 109(2020):10.
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