Tooth model rapid cutting method based on three-dimensional oral cavity model

Abstract

The invention discloses a tooth model rapid cutting method based on a three-dimensional oral cavity model, which comprises the following steps: based on a segment automatic division technology, collecting the three-dimensional oral cavity model, preprocessing tooth edges of the three-dimensional oral cavity model, and obtaining an edge cutting curve of the tooth model; simplifying the edge cutting curve into a skeleton containing a plurality of control points, taking the skeleton as a control polygon, establishing a cubic Bezier curve, controlling the curve shape of the cubic Bezier curve by adjusting the control points, and obtaining a cutting curve for cutting the tooth model; converting the cutting curve into a tubular model, and segmenting the tubular model into a tooth model through bool operation. According to the method, the problems of multiple manual adjustment steps and low speed due to errors in automatic identification are solved, and the tooth cutting speed is greatly improved when the oral cavity scanning model is processed by tooth orthodontic software.

Description

technical field [0001] The invention relates to the field of orthodontic medical 3D software, in particular to a method for rapidly cutting a tooth model based on a three-dimensional oral cavity model. Background technique [0002] With the rapid development of geometric deep learning, more and more deep learning techniques are used in orthodontics, for example: F.G. Zanjani et al., “Deep learning approach to semantic segmentation in 3D pointcloud intra-oral scans of teeth,” inProc. 2nd Int.Conf.Med.Imag.Deep Learn.(PMLR),2019,pp.557–571 mentioned the automatic segmentation (segment) technology. Automatic segmentation (segment) has a success rate of more than 95%, but some problems It still affects the effect of segmentation, such as wisdom teeth, the growth of teeth is diverse, and the junction between teeth is prone to problems. Therefore, a cutting method that can be conveniently processed and adjusted is still needed for the divided oral model. [0003] Several existin...

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Problems solved by technology

[0003] Several existing methods have certain shortcomings. Before using automatic tooth segmentation, the industrial software used the segmentation method to draw cutting lines on the surface of the oral cavity model, and then cut out the teeth. Each tooth requires more than 30 seconds of operation. Time, after the dividing line is drawn, it is difficult to adjust it, and it takes more than 20 minutes to cut a set of teeth

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