Gingival line automatic extraction method based on digital tooth model

Abstract

The invention provides a gingival line automatic extraction method based on a digital tooth model, and the method comprises the following steps: S1, loading the digital tooth model, carrying out the data preprocessing, and obtaining a dental model point cloud; s2, segmenting the dental model point cloud at equal angles to obtain a plurality of dental model point cloud slices; s3, gingival line features are used for screening in each section of point cloud slice, and feature point clouds are extracted; and S4, integrating the feature point clouds in all slices, and fitting to obtain an extracted gingival line. According to the invention, automatic detection of the gingival line can be realized without interactive auxiliary input of a user in the detection and extraction process and after the model is loaded, the whole processing process enables the digital dental department to have better automation and intelligence degrees and to be more accurate and convenient, a lot of time is saved for dentists and patients, and the diagnosis and treatment efficiency is improved.

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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