A CBDC tooth image segmentation method based on center point detection

Abstract

The invention provides a CBCT tooth image segmentation method based on center point detection, which includes preprocessing; rough segmentation; fine segmentation by double level set; iterative segmentation between layers; and three-dimensional structure of teeth. The tooth image segmentation algorithm based on the center point detection of the present invention makes full use of the detected center point information to perform rough segmentation of the initial layer, and uses the rough segmentation result to replace manual initialization to realize a fully automatic image segmentation under the guidance of "experts" . In this paper, the detected center point information is considered as the prior information of the segmentation algorithm, and a tooth image segmentation algorithm based on center point detection is proposed. In the segmentation process, a bilevel set segmentation algorithm and threshold optimization constraint processing are introduced, which is convenient for faster and more efficient processing. It is convenient and more accurate to obtain the three-dimensional structure of the teeth, so that the segmentation is more accurate and the robustness is better.

Description

technical field [0001] The invention belongs to the technical field of image segmentation, in particular to a CBCT tooth segmentation method based on center point detection. Background technique [0002] With the development of society, more and more adults are seeking orthodontic treatment to improve their smile, correct the occlusion of teeth or correct other problems caused by injury, illness or long-term neglect of oral care. In order to obtain patient data in a comprehensive, accurate and detailed manner, and thus provide a strong guarantee for the diagnosis and treatment of oral diseases, medical imaging technology has become an indispensable technical means. Oral CT equipment is a revolutionary tool in dentistry. CBCT has been used in the field of stomatology since the late 1990s, because it can truly reflect the three-dimensional structure of the maxillofacial region, overcome the drawbacks of two-dimensional imaging, and can more three-dimensionally evaluate teeth a...

AI Technical Summary

Problems solved by technology

[0004] In view of the above-mentioned deficiencies in the prior art, a CBCT tooth segmentation method based on center point detection provided by the present invention solves the problem that most of the existing tooth segmentation algorithms need to be manually initialized, combined with the problem of improving the accuracy of tooth segmentation

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