Method for guiding and segmenting teeth by utilizing morphological data

Abstract

The invention discloses a method for guiding and segmenting teeth by utilizing morphological data. The method comprises the following steps: S1, acquiring three-dimensional volume data of a patient and three-dimensional surface data of the teeth; S2, carrying out volume rendering; S3, extracting a gingival edge line; S4, performing model registration on the data; S5, carrying out voxel segmentation of tooth attributes; S6, carrying out data verification, and deleting the part which does not belong to the tooth attribute; S7, performing three-dimensional reconstruction; and S8, segmenting the data of the teeth according to the tooth positions. According to the invention, automatic segmentation can be carried out on teeth in an image; operation is simple, and each tooth can be segmented; andautomatic recognition of the teeth, periodontal tissues and other tissues is achieved, the clinical requirements of oral medicine are better met, development of the oral medicine is promoted, automatic diagnosis of oral diseases is achieved through the digitization technology, and a technical foundation is laid for development of automatic orthodontic tooth arrangement, automatic diagnosis of periodontal recovery and the like special for orthodontics.

Description

technical field [0001] The invention belongs to the technical field of stomatology, and more specifically relates to a method for guiding and segmenting teeth by using morphological data. Background technique [0002] CBCT scans and dental laser scans are common sources of data in dental care. In stomatology, orthodontics, periodontology, implantology and other departments will acquire CBCT data during the treatment of some patients to analyze the distribution of their teeth and periodontal. Many scholars at home and abroad have conducted research on the identification of individual teeth. In order to more accurately identify the identity of the deceased in major disasters, foreign academic circles have introduced the concept and significance of automatic tooth identification systems. The tooth identification system also needs a detailed analysis of the number of teeth, the distribution of teeth, and the characteristics of different tooth positions. Therefore, the method o...

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Problems solved by technology

[0003] At present, in the research of image segmentation, there are mainly three methods: one is the computer-based automatic segmentation method, which mainly adopts GrowCut algorithm, Snake algorithm, mixed level set algorithm, active contour model, graph cut algorithm, Algorithms such as genetic algorithm and texture analysis are used to segment the target by computer; the second is the human-computer interactive segmentation method, which uses the image segmentation method and human interaction operation to realize the segmentation of the target position; the third is to use the CT image Gray value manual segmentation of images. Due to the particularity of medical images, this method is widely used in the study of special diseases in stomatology. Manual segmentation requires the operator to be proficient in the anatomical position to be segmented, which is also very time-consuming

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