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Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network by Xiaoshuang Li; Lei Bi; Jinman Kim; Tingyao Li; Peng Li; Ye Tian; Bin Sheng; Dagan Feng is a book available to read on EtoBox.

What is Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network about?

Orthodontic malocclusion treatment is a procedure to correct dental and facial morphology by moving teeth or adjusting underlying bones. It concentrates on two key aspects: the treatment planning for dentition alignment; and the plan implementation with the aid of external forces. Existing treatment planning requires significant time and effort for orthodontists and technicians. At present, no work successfully automates the process of tooth movement in orthodontics. In this study, we leverage state-of-the-art deep learning methods and propose an automated treatment planning process to take advantage of the spatial interrelationship between different teeth. Our method enables to exploit a 3-dimensional spatial transformation architecture for malocclusion treatment planning with 4 steps: (1) sub-sampling the dentition point cloud to get a critical point set; (2) extracting local features for each tooth and global features for the whole dentition; (3) obtaining transformation parameters conditioned on the features refined from the combination of both the local and global features and, (4) transforming initial dentition point cloud to the parameter-defined final state. Our approach ac

Author

Xiaoshuang Li; Lei Bi; Jinman Kim; Tingyao Li; Peng Li; Ye Tian; Bin Sheng; Dagan Feng

Publisher

Springer International Publishing : Imprint : Springer

Published

2020

Language

EN

ISBN

9783030597160

Subjects

Science, Computer Science, Business