Automatic whole dental crown segmentation method through harmonic-field-based three-dimensional tooth jaw model

Abstract

The invention discloses an automatic whole dental crown segmentation method through a harmonic-field-based three-dimensional tooth jaw model. The automatic whole dental crown segmentation method includes the steps that a three-dimensional tooth jaw grid model is read in and visually displayed; automatic detection and classification are conducted on anatomical feature points of upper tooth jaw teeth in the three-dimensional tooth jaw grid model, and the occlusion plane is automatically recognized; useless data representing the non-tooth-crown part at the bottom of the tooth jaw are eliminated; the constraint point of the harmonic field of the three-dimensional tooth jaw grid model is specified; the harmonic field is calculated according to the constraint condition so as to obtain a tooth crown segmentation boundary line; grid segmentation is conducted according to the obtained tooth crown segmentation boundary line to obtain a tooth crown model. By means of the method, all tooth segmentation boundaries are obtained accurately through one-time processing, and the automated degree is high. The method has great significance to dental orthodontics, virtual tooth jaw operation simulation and the like.

Description

technical field [0001] The invention relates to a method for automatically separating all crowns from a three-dimensional grid model of a tooth. Background technique [0002] With the development of 3D acquisition technology, 3D models of teeth and jaws are currently widely used in related fields of dentistry, such as stomatology, forensic science, anthropology and archaeology. Segmentation and classification of dental models are an indispensable part of dental virtual reality applications such as treatment planning and virtual surgery. [0003] The current automatic mesh segmentation method for the crown is difficult to obtain an accurate model, and its robustness is not strong. Although the interactive segmentation method can use human prior knowledge to fully reflect the user's operation intention, the current method generally requires the user to specify several boundary points along the expected crown segmentation line, which is a cumbersome and time-consuming process....

AI Technical Summary

Problems solved by technology

[0003] The current automatic mesh segmentation method for the crown is difficult to obtain an accurate model, and the robustness is not strong

Although the interactive segmentation method can use human prior knowledge to fully reflect the user's operation intention, the current method generally requires the user to specify several boundary points along the expected crown segmentation line, which is a cumbersome and time-consuming process. Obviously not in line with the intelligent logo

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