首页|RGB oralscan video-based orthodontic treatment monitoring

RGB oralscan video-based orthodontic treatment monitoring

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Orthodontic treatment monitoring involves using current images and previous 3D models to estimate the relative position of individual teeth before and after orthodontic treatment.This process differs from image-based object 6D pose estimation due to the gingiva deformation and varying pose offsets for each tooth during treatment.Motivated by the fact that the poses of molars remain relatively fixed in implicit orthodontics,we design an approach that employs multiview pose evaluation and bidirectional temporal propagation for jaw pose estimation and then employs an iteration-based method for tooth alignment.To handle changes in tooth appearance or location with weak texture across frames,we also introduce an instance propagation module that leverages positional and semantic information to explore instance relations in the temporal domain.We evaluated the performance of our approach using both the Shining3D tooth pose dataset and the Aoralscan3 tooth registration dataset.Our experimental results demonstrate remarkable accuracy improvements compared with existing methods.

digital dentistryobject 6D pose estimationdeep learningcomputer vision

Yan TIAN、Hanshi FU、Hao WANG、Yuqi LIU、Zhaocheng XU、Hong CHEN、Jianyuan LI、Ruili WANG

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School of Computer Science and Technology,Zhejiang Gongshang University,Hangzhou 310018,China

Shining3D Tech Co.,Ltd.,Hangzhou 311258,China

School of Information and Technology,Monash University,Melbourne 3800,Australia

School of Mathematical and Computational Sciences,Massey University,Auckland 0632,New Zealand

Department of Stomatology,Zhejiang Provincial People's Hospital,Hangzhou Medical College,Hangzhou 310014,China

School of Computer and Computing Science,Zhejiang University City College,Hangzhou 310015,China

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaZhejiang Province R&D Key Project(other categories)Special Project for Basic Business Expenses of Zhejiang Provincial Colleges and UniversitiesOpening Foundation of State Key Laboratory of Virtual Reality Technology and System of Beihang University

61972351621115303002022C03149JRK22003VRLAB2023B02

2024

中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

CSTPCDEI
影响因子:0.715
ISSN:1674-733X
年,卷(期):2024.67(1)
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