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Tooth segmentation and reconstruction method based on CBCT image and storage medium

A technology of teeth and images, applied in the field of tooth segmentation and reconstruction methods and storage media based on CBCT images, can solve the problems of under-segmentation, affecting the quality of three-dimensional reconstruction of teeth, and over-segmentation, and achieves the effect of high robustness

Active Publication Date: 2022-07-15
汉斯夫(杭州)医学科技有限公司
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Problems solved by technology

However, the accuracy of the tooth segmentation results by this model is heavily dependent on the tooth marker segmentation results, which can easily lead to over-segmentation or under-segmentation, and ultimately affect the quality of tooth 3D reconstruction

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  • Tooth segmentation and reconstruction method based on CBCT image and storage medium
  • Tooth segmentation and reconstruction method based on CBCT image and storage medium
  • Tooth segmentation and reconstruction method based on CBCT image and storage medium

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Embodiment Construction

[0049] Specific embodiments of the application are described in conjunction with the accompanying drawings and the following description to teach those skilled in the art how to make and use the best mode of the application. In order to teach principles of the application, conventional aspects have been simplified or omitted. Those skilled in the art will appreciate that variations from these embodiments fall within the scope of the present application. Those skilled in the art will appreciate that the following features can be combined in various ways to form various variations of the present application. Terms such as "up", "down", "left", "right", "middle" and "one" quoted in this application are only for the convenience of description and clarity, and are not used to limit the scope of the present invention. The scope of implementation, the change or adjustment of the relative relationship, and the technical content without substantial changes, shall also be regarded as t...

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Abstract

The invention relates to a tooth segmentation and reconstruction method based on a CBCT image and a storage medium, and the method comprises the steps: carrying out the self-defined layer-by-layer labeling of CBCT data, carrying out the automatic statistics of a labeled tooth center point, carrying out the preprocessing of a CBCT data set, and carrying out the recognition of a CBCT image based on an open-source deep learning platform TensorFlow and a full-convolution neural network model. Designing and training to obtain a CBCT tooth image segmentation network model; a probability value of each voxel is obtained through model output obtained through training, optimization of separation and combination is carried out on overlapping of upper and lower jaw teeth, refining processing is carried out on the shape of a root tip, and finally a tooth three-dimensional model is reconstructed. According to the method, the deep learning method is utilized, the teeth in the three-dimensional CBCT image can be directly segmented, meanwhile, adjacent teeth making contact with each other are separated, segmentation and three-dimensional reconstruction of the single tooth are achieved, the method has the advantages of being efficient, accurate, high in robustness and the like, and good tooth segmentation and three-dimensional reconstruction results can be obtained in the noise complex CBCT image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a tooth segmentation and reconstruction method and a storage medium based on CBCT images. Background technique [0002] Oral health is an important part of human health. At the same time, the oral cavity also has a great impact on the facial aesthetics of the human body. With the gradual improvement of China's per capita living standards, oral examinations and orthodontics have attracted more and more attention. Cone beam computer tomography (CBCT) is widely used in oral and maxillofacial disease diagnosis and plastic surgery due to its advantages of low radiation, high precision, and providing three-dimensional oral cavity information, such as positioning and extraction of impacted teeth. , Measurement of mandibular neural canal, diagnosis and treatment of jaw lesions, etc. In clinical work, stomatologists can intuitively understand the patient's teeth and jaw morpholo...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/136G06T17/00G06T19/20
CPCG06T7/11G06T7/136G06T17/00G06T19/20G06T2207/30036G06T2207/20081G06T2207/20084G06T2207/10081G06T2207/20092
Inventor 林小平黄胜钧谢李鹏
Owner 汉斯夫(杭州)医学科技有限公司
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