Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space

doi:10.1016/j.gmod.2020.101071

	Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space
	Zhang, Jianda 2,3; Li, Chunpeng 3; Song, Qiang 3; Gao, Lin 3,4; Lai, Yu-Kun 1
	2020-05-01
发表期刊	GRAPHICAL MODELS
ISSN	1524-0703
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
DOI	10.1016/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：24[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
推荐引用方式 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.