A Method of Automatic Segmentation of All Crowns Based on Harmony Field 3D Model of Dental Jaw

Abstract

The invention discloses a method for automatically segmenting all dental crowns based on a three-dimensional model of a jaw with a harmonic field, comprising: reading in and visually displaying a three-dimensional grid model of a jaw; Automatically detect and classify the anatomical feature points, and automatically identify the occlusal plane; remove useless data representing the non-crown part at the bottom of the jaw model; specify the constraint points of the harmonic field of the 3D mesh model of the dental jaw; calculate the harmonic field according to the constraints , obtain the crown segmentation boundary line; perform mesh cutting according to the obtained crown segmentation boundary line, and obtain the crown model. By using the method disclosed in the invention, all tooth segmentation boundaries can be accurately obtained in one process, and the degree of automation is high. The invention has important significance for dental orthodontics, dental jaw virtual surgery simulation and the like.

Description

technical field [0001] The invention relates to a method for automatically segmenting all dental crowns based on a three-dimensional model of a tooth and jaw based on a harmonic field. 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 ...

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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