Automatic extraction method of gum line based on digital tooth model

Abstract

The present invention proposes an automatic gum line extraction method based on a digital tooth model, including: S1: loading the digital tooth model and performing data preprocessing to obtain the point cloud of the dental model; S2: segmenting the point cloud of the dental model at an equal angle to obtain Multiple dental mold point cloud slices; S3: use gingival line feature screening in each point cloud slice to extract feature point cloud; S4: integrate feature point clouds in all slices, and fit to obtain the extracted gingiva line. The invention does not require user interactive auxiliary input during the detection and extraction process, and the automatic detection of the gum line can be realized after loading the model. The whole processing process makes digital dentistry have better automation and intelligence, and is more accurate and convenient. The patient saves a lot of time and improves the efficiency of diagnosis and treatment.

Description

technical field [0001] The invention relates to a method for automatically extracting gum lines based on a digital tooth model, and belongs to the technical fields of biomedical engineering, computer vision and computer graphics. Background technique [0002] With the improvement of people's living standards, people have higher requirements for the aesthetics of teeth, and oral medical technologies such as tooth deformity correction and tooth plastic surgery have emerged as the times require. From the traditional use of occlusal cement to manually make plaster dental models to assist treatment Now, with the popularization of digital acquisition equipment, dentists can directly collect three-dimensional data of teeth inside the patient's oral cavity through depth sensor equipment to build a three-dimensional model. The more common oral CAD data collected are STL, PLY and other data formats. [0003] In clinical treatment, customizing the treatment plan based on the digital m...

AI Technical Summary

Problems solved by technology

At present, the most commonly used method is manual interaction. By specifying feature points on the dental model, and then using the selected feature point sequence to fit the gum line, the operation process of this method is complicated, and the result needs several adjustments to become usable. At the same time, the positioning accuracy of feature key points depends largely on the accuracy of manual point selection, which restricts the efficiency and accuracy of digital dental diagnosis and treatment.

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