CBCT tooth image segmentation method based on center point detection

Abstract

The invention provides a CBCT tooth image segmentation method based on center point detection. The CBCT tooth image segmentation method comprises the steps of preprocessing; roughly segmenting; carrying out double-level-set fine segmentation; performing inter-layer iterative segmentation; and obtaining a tooth three-dimensional structure. According to the tooth image segmentation algorithm based on the center point detection, the detected center point information is fully utilized to perform the coarse segmentation of an initial layer, and a coarse segmentation result is utilized to replace the manual initialization, so that the full-automatic image segmentation under the guidance of experts is realized. According to the invention, the detected central point information is considered to beused as the prior information of a segmentation algorithm, the tooth image segmentation algorithm based on the central point detection is provided, and a double-level set segmentation algorithm and threshold optimization constraint processing are introduced in the segmentation process, so that the tooth three-dimensional structure can be obtained more quickly, more conveniently and more accurately, and the segmentation is more accurate and better in robustness.

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] As society develops, more and more adults are seeking orthodontic treatment to improve their smile, correct the bite of their teeth or correct other problems caused by injury, disease or long-term neglect of oral care. In order to obtain patient data comprehensively, accurately and in detail, and then 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 disadvantages of two-dimensional imaging, and can more three-dimensionally evaluate teeth and The relati...

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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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