阅读说明：本技术 一种口腔病损立体模型智能标注方法和装置 (Intelligent labeling method and device for oral lesion three-dimensional model ) 是由 不公告发明人 于 2021-09-17 设计创作，主要内容包括：本发明涉及临床口腔医学技术领域,公开了一种口腔病损立体模型智能标注方法,实现方法包括以下步骤：S10、生成口腔模型；S20、口腔图像采集；S30、图像分析；S40、口腔信息标注,还公开了一种口腔病损立体模型智能标注装置,包括拍摄模块、检测模块和显示模块。本发明依次通过生成口腔模型、口腔图像采集、图像分析和口腔信息标注,可以智能识别和分析病损信息,并在口腔模型上标注病损情况,通过不同颜色或贴图材质区分病损的类型、位置和数量,可以把口腔内的龋病、牙菌斑、着色牙、牙结石等疾病在模型上进行智能标注,并向病人呈现,可以让病人快速地了解口腔内的各种疾病,而无需医生通过视诊判断或X光拍片展示,方便快捷。(The invention relates to the technical field of clinical oral medicine, and discloses an intelligent labeling method for an oral lesion three-dimensional model, which comprises the following steps: s10, generating an oral cavity model; s20, oral cavity image acquisition; s30, analyzing the image; s40, oral information labeling and also discloses an oral lesion three-dimensional model intelligent labeling device which comprises a shooting module, a detection module and a display module. The invention can intelligently identify and analyze the lesion information by generating an oral cavity model, acquiring an oral cavity image, analyzing the image and marking the oral cavity information, and marking the lesion condition on the oral cavity model, and distinguishing the type, the position and the quantity of the lesion by different colors or pasting materials, so that the diseases such as caries, dental plaque, stained teeth, dental calculus and the like in the oral cavity can be intelligently marked on the model and presented to a patient, the patient can quickly know various diseases in the oral cavity, and a doctor does not need to judge through visual inspection or show through an X-ray film, thereby being convenient and fast.)

1. An intelligent labeling method for a three-dimensional model of oral lesions is characterized by comprising the following steps:

s10, generating an oral cavity model: firstly, generating a standard oral cavity model according to the age of a user, then numbering each tooth surface, and finally, eliminating part of teeth by the user according to tooth loss to form an individual oral cavity model;

s20, oral cavity image acquisition: the method comprises the following steps of collecting images by an image collecting module, and enabling the images to correspond to tooth surfaces and periodontal tissues one by one in a mode of sequential collection, autonomous collection and marking by a user, intelligent video segmentation and intelligent image detection;

s30, image analysis: acquiring lesion information of each tooth surface and periodontal tissue through identification, detection and statistics, and respectively corresponding the lesion information of the tooth surface and the periodontal tissue to each tooth surface and the periodontal tissue in a one-to-one manner according to the oral cavity image acquisition mode in the step S20; lesion information of the tooth surface and periodontal tissue includes, but is not limited to, the position and extent of caries, whitening degree, plaque degree and position, calculus position, etc.;

s40, labeling oral information: quantitatively marking the result of the image analysis in the step S30 in the personalized tooth model, wherein different materials or colors can be used for representing different lesion types, and the lesion degree is represented by the shade of the color; and the lesion type and the lesion degree are named using a combination of different numbers, letters, and symbols.

2. The method for intelligently labeling the stereoscopic model of an oral disease lesion as recited in claim 1, wherein in the step S10, when the standard oral cavity model is generated, if the age of the user is less than 5 years old, a deciduous tooth model is generated, and if the age of the user is greater than or equal to 5 years old, a permanent tooth model is generated;

the rule for numbering the tooth surfaces in the step S10 is as follows: the upper and lower Tong + the left and right sides + the tooth positions + the tooth surfaces, wherein the upper Tong is represented by U and the lower Tong is represented by D; the left side is denoted by L and the right side is denoted by R; the number of the permanent teeth in the teeth position from the middle incisor to the third molar is 1-8, and the number of the deciduous teeth from the deciduous incisor to the second deciduous molar is I-IV; in the dental plane, the lingual surface is denoted by T, the Tonic surface by B, the buccal surface by C and the labial surface by L.

3. The method for intelligently labeling the stereoscopic model of the oral lesion according to claim 1, wherein the sequential acquisition in the step S20 is as follows: dividing the individual oral cavity model into 6 areas and numbering, wherein the areas are an upper left back tooth area, an upper front tooth area, an upper right back tooth area, a lower front tooth area and a lower left back tooth area; and the detection order of the 6 regions is as follows: collecting buccal surface, Tong surface and lingual surface of an upper left back dental area from left to right in sequence, collecting labial surface and lingual surface of an upper front dental area from left to right in sequence, collecting buccal surface, Tong surface and lingual surface of an upper right back dental area from left to right in sequence, collecting buccal surface, Tong surface and lingual surface of a lower right dental area from right to left in sequence, collecting labial surface and lingual surface of a lower front dental area from right to left in sequence, and collecting buccal surface, Tong surface and lingual surface of a lower left back dental area from right to left in sequence; after the image is collected, naming the image according to the number of the tooth, the user ID and the collection timestamp;

the manner of autonomous collection and labeling by the user in the step S20 is as follows: the method comprises the steps that a user uses an image acquisition module to acquire images on tooth surfaces, then the user selects corresponding tooth surfaces on an individual tooth model, and finally the images are named according to tooth numbers, user IDs and acquisition starting timestamps;

the intelligent video segmentation method in the step S20 is as follows: dividing the individual tooth model into 6 areas and naming the 6 areas, namely an upper left rear tooth area, an upper front tooth area, an upper right rear tooth area, a lower front tooth area and a lower left rear tooth area; prompting a user to use an image acquisition module to carry out mobile video shooting in a certain area according to a detection sequence, extracting a tooth profile by using an edge detection algorithm, judging a current tooth position by combining a user individual tooth model when the complete tooth profile appears in a video frame picture, storing a video frame image, and naming the video frame image according to the tooth number, the user ID and an acquisition timestamp;

the intelligent detection mode of the image in the step S20 is as follows: the user uses the image acquisition module to acquire images on the tooth surface, uses one or more combination of an image recognition algorithm or a target detection algorithm to intelligently detect the images, judges the tooth position and the tooth surface, and names the images according to the tooth number, the user ID and the acquisition timestamp.

4. The method for intelligently labeling the three-dimensional model of oral lesions as claimed in claim 3, wherein the images named according to the tooth number, the user ID and the collection time stamp correspond to each tooth surface and periodontal tissue of the user one by one and correspond to the tooth surface and periodontal tissue of the oral model one by one in the manner of collecting the oral images in step S20.

5. The device for realizing the intelligent marking of the stereoscopic model of the oral lesion as the claim 1 is characterized by comprising a shooting module, a detection module and a display module;

the shooting module is used for shooting an oral lesion picture and transmitting the picture to the detection module; the shooting module is provided with an optical filter with a specific wavelength range, emits light rays with the specific wavelength range, shoots oral cavity pictures, and transmits images to the detection module in a wired or wireless mode;

the detection module is used for identifying the picture shot by the shooting module and transmitting the detection result to the display module; detecting the type, degree and position information of the oral cavity lesion in the picture transmitted by the shooting module, including but not limited to the position and degree of caries, whitening degree, degree and position of dental plaque, position of dental calculus and the like, by a computer program of an intelligent detection algorithm built in the detection module;

the display module is used for displaying the result transmitted by the detection module, generating an oral cavity three-dimensional model and marking the position and the number of the lesions; the detection result of the detection module is marked in the oral cavity three-dimensional model through a computer program, the type and the degree of the lesion are distinguished through different colors, different color shades or different material mapping modes, the position, the number and the degree of the lesion are marked, and the type and the degree of the lesion are named by using different combinations of numbers, letters and symbols.

6. The device for intelligently labeling the three-dimensional model of oral cavity lesion according to claim 5, wherein the image transmission mode of the shooting module can be WiFi transmission or USB data line transmission, the lesion position in the picture transmission of the shooting module can be detected by an intelligent detection algorithm and can be manually marked or modified, the three-dimensional model of oral cavity generated by the display module can be rotated, zoomed and translated to check the lesion conditions at different positions, the change conditions of the three-dimensional model of oral cavity at different time points can be dynamically displayed, and the display module can be a smart phone, a smart tablet, a computer display and other devices.

Technical Field

The invention relates to the technical field of clinical oral medicine, in particular to an intelligent labeling method and device for an oral lesion three-dimensional model.

Background

Caries is a chronic progressive destructive disease which occurs in the vital tissues of the tooth under the influence of a plurality of factors which are mainly bacteria; the factors causing the dental caries mainly comprise dental plaque biomembranes, food, the micro-ecological environment of teeth and the like; caries is a common and frequent oral disease of human beings, and among the morbidity of various oral diseases, the caries is in the front. Dental plaque biofilm is the oral micro-ecology in which oral microorganisms are colonized on the tooth surface, in which bacteria grow, develop, reproduce, die down, and carry out complex metabolic activities, causing caries, periodontal disease, peri-implant disease, and the like. Stained teeth are common diseases in oral cavity, and can occur in all age groups of people, such as deciduous teeth and permanent teeth, including endogenous stained teeth and exogenous stained teeth. Which greatly affects the aesthetic appearance of the teeth. Dental calculus is commonly found on the surface of teeth at the mouth of the salivary gland; dental calculus begins as milky soft calculus and becomes hard due to gradual calcification; dental calculus is an important pathogenic factor for the development of periodontal disease; good oral hygiene habits are not noticed, and even after thorough scaling, dental calculus is easily redeposited on the surface of teeth.

The traditional method for detecting oral diseases such as caries, dental plaque, stained teeth and dental calculus needs to be judged by visual examination of doctors or displayed to patients in an X-ray shooting mode, cannot be presented to the patients through intelligent marking on a model, and cannot enable the patients to quickly and automatically know various diseases in the oral cavity.

Disclosure of Invention

The invention aims to provide an intelligent labeling method and device for a three-dimensional model of oral lesions, so as to solve the problems in the background technology.

In order to achieve the purpose, the invention provides the following technical scheme:

an intelligent labeling method for a three-dimensional model of oral lesions is characterized by comprising the following steps:

s10, generating an oral cavity model: firstly, generating a standard oral cavity model according to the age of a user, then numbering each tooth surface, and finally, eliminating part of teeth by the user according to tooth loss to form an individual oral cavity model;

s20, oral cavity image acquisition: the method comprises the following steps of collecting images by an image collecting module, and enabling the images to correspond to tooth surfaces and periodontal tissues one by one in a mode of sequential collection, autonomous collection and marking by a user, intelligent video segmentation and intelligent image detection;

s30, image analysis: acquiring lesion information of each tooth surface and periodontal tissue through identification, detection and statistics, and respectively corresponding the lesion information of the tooth surface and the periodontal tissue to each tooth surface and the periodontal tissue in a one-to-one manner according to the oral cavity image acquisition mode in the step S20; lesion information of the tooth surface and periodontal tissue includes, but is not limited to, the position and extent of caries, whitening degree, plaque degree and position, calculus position, etc.;

s40, labeling oral information: quantitatively marking the result of the image analysis in the step S30 in the personalized tooth model, wherein different materials or colors can be used for representing different lesion types, and the lesion degree is represented by the shade of the color; and the lesion type and the lesion degree are named using a combination of different numbers, letters, and symbols.

As a still further scheme of the invention: when the standard oral cavity model is generated in the step S10, if the age of the user is less than 5 years old, a deciduous tooth model is generated, and if the age of the user is greater than or equal to 5 years old, a permanent tooth model is generated;

the rule for numbering the tooth surfaces in the step S10 is as follows: the upper and lower Tong + the left and right sides + the tooth positions + the tooth surfaces, wherein the upper Tong is represented by U and the lower Tong is represented by D; the left side is denoted by L and the right side is denoted by R; the number of the permanent teeth in the teeth position from the middle incisor to the third molar is 1-8, and the number of the deciduous teeth from the deciduous incisor to the second deciduous molar is I-IV; in the dental plane, the lingual surface is denoted by T, the Tonic surface by B, the buccal surface by C and the labial surface by L.

As a still further scheme of the invention: the sequential acquisition mode in the step S20 is as follows: dividing the individual oral cavity model into 6 areas and numbering, wherein the areas are an upper left back tooth area, an upper front tooth area, an upper right back tooth area, a lower front tooth area and a lower left back tooth area; and the detection order of the 6 regions is as follows: collecting buccal surface, Tong surface and lingual surface of an upper left back dental area from left to right in sequence, collecting labial surface and lingual surface of an upper front dental area from left to right in sequence, collecting buccal surface, Tong surface and lingual surface of an upper right back dental area from left to right in sequence, collecting buccal surface, Tong surface and lingual surface of a lower right dental area from right to left in sequence, collecting labial surface and lingual surface of a lower front dental area from right to left in sequence, and collecting buccal surface, Tong surface and lingual surface of a lower left back dental area from right to left in sequence; after the image is collected, naming the image according to the number of the tooth, the user ID and the collection timestamp;

the manner of autonomous collection and labeling by the user in the step S20 is as follows: the method comprises the steps that a user uses an image acquisition module to acquire images on tooth surfaces, then the user selects corresponding tooth surfaces on an individual tooth model, and finally the images are named according to tooth numbers, user IDs and acquisition starting timestamps;

the intelligent video segmentation method in the step S20 is as follows: dividing the individual tooth model into 6 areas and naming the 6 areas, namely an upper left rear tooth area, an upper front tooth area, an upper right rear tooth area, a lower front tooth area and a lower left rear tooth area; prompting a user to use an image acquisition module to carry out mobile video shooting in a certain area according to a detection sequence, extracting a tooth profile by using an edge detection algorithm, judging a current tooth position by combining a user individual tooth model when the complete tooth profile appears in a video frame picture, storing a video frame image, and naming the video frame image according to the tooth number, the user ID and an acquisition timestamp;

the intelligent detection mode of the image in the step S20 is as follows: the user uses the image acquisition module to acquire images on the tooth surface, uses one or more combination of an image recognition algorithm or a target detection algorithm to intelligently detect the images, judges the tooth position and the tooth surface, and names the images according to the tooth number, the user ID and the acquisition timestamp.

As a still further scheme of the invention: the images named according to the tooth numbers, the user IDs and the acquisition timestamps correspond to each tooth surface and each periodontal tissue of the user one by one according to the oral cavity image acquisition mode in the step S20, and correspond to the tooth surfaces and the periodontal tissues in the oral cavity model one by one.

An intelligent marking device for a three-dimensional model of oral lesions,

the device comprises a shooting module, a detection module and a display module;

the shooting module is used for shooting an oral lesion picture and transmitting the picture to the detection module; the shooting module is provided with an optical filter with a specific wavelength range, emits light rays with the specific wavelength range, shoots oral cavity pictures, and transmits images to the detection module in a wired or wireless mode;

the detection module is used for identifying the picture shot by the shooting module and transmitting the detection result to the display module; detecting the type, degree and position information of the oral cavity lesion in the picture transmitted by the shooting module, including but not limited to the position and degree of caries, whitening degree, degree and position of dental plaque, position of dental calculus and the like, by a computer program of an intelligent detection algorithm built in the detection module;

the display module is used for displaying the result transmitted by the detection module, generating an oral cavity three-dimensional model and marking the position and the number of the lesions; the detection result of the detection module is marked in the oral cavity three-dimensional model through a computer program, the type and the degree of the lesion are distinguished through different colors, different color shades or different material mapping modes, the position, the number and the degree of the lesion are marked, and the type and the degree of the lesion are named by using different combinations of numbers, letters and symbols.

As a still further scheme of the invention: the transmission image mode of shooting the module can be for wiFi transmission or USB data line transmission, the sick and wounded position accessible intellectual detection system algorithm detection in the shooting module transmission picture, also can manual mark or modify, the oral cavity three-dimensional model that the display module generated can rotate, zoom, operation such as translation to look over the sick and wounded condition of different positions, can be with dynamic mode, show the change situation of oral cavity three-dimensional model at different time points, the display module can be for equipment such as smart mobile phone, intelligent panel, computer display.

Compared with the prior art, the invention has the beneficial effects that:

the invention can intelligently identify and analyze the lesion information by generating an oral cavity model, acquiring an oral cavity image, analyzing the image and marking the oral cavity information, and marking the lesion condition on the oral cavity model, and distinguishing the type, the position and the quantity of the lesion by different colors or pasting materials, so that the diseases such as caries, dental plaque, stained teeth, dental calculus and the like in the oral cavity can be intelligently marked on the model and presented to a patient, the patient can quickly know various diseases in the oral cavity, and a doctor does not need to judge through visual inspection or show through an X-ray film, thereby reminding the user to pay attention to the oral cavity lesion condition, and being convenient and quick.

Drawings

FIG. 1 is a schematic flow chart of an intelligent labeling method for a three-dimensional model of oral lesions;

FIG. 2 is a schematic diagram of a permanent tooth model of an oral lesion three-dimensional model intelligent labeling method;

FIG. 3 is a schematic diagram of a deciduous tooth model of an oral lesion three-dimensional model intelligent labeling method;

FIG. 4 is a schematic diagram of an apparatus in an oral lesion three-dimensional model intelligent labeling method and apparatus.

Detailed Description

Referring to fig. 1 to 4, in an embodiment of the present invention, an intelligent labeling method for a three-dimensional model of an oral lesion includes the following steps:

s10, generating an oral cavity model: firstly, generating a standard oral cavity model according to the age of a user, then numbering each tooth surface, and finally, eliminating part of teeth by the user according to tooth loss to form an individual oral cavity model;

s20, oral cavity image acquisition: the method comprises the following steps of collecting images by an image collecting module, and enabling the images to correspond to tooth surfaces and periodontal tissues one by one in a mode of sequential collection, autonomous collection and marking by a user, intelligent video segmentation and intelligent image detection;

s30, image analysis: obtaining lesion information of each tooth surface and periodontal tissue through identification, detection and statistics, and enabling the lesion information of the tooth surfaces and the periodontal tissue to correspond to each tooth surface and the periodontal tissue one by one according to the mode of oral cavity image acquisition in the step S20, wherein the lesion information of the tooth surfaces and the periodontal tissue comprises, but is not limited to, the position and the degree of caries, the whitening degree, the plaque degree and the position, the calculus position and the like;

the labeling directions of caries, whitening and dental plaque are as follows: caries can be classified into 6 grades, whitening standard can be classified into 16 grades from light to dark, and dental plaque can be classified into 3 grades; the 6 grades of caries are marked as DT1, DT2, DT3, DT4, DT5 and DT6 from light to deep; the 3 grades of dental plaque are marked as DP1, DP2 and DP3 from light to deep; the arrangement sequence of the tooth whitening degrees from light to deep: 1 → B1, 2 → a1, 3 → B2, 4 → D2, 5 → a2, 6 → C1, 7 → C2, 8 → D3, 9 → A3, 10 → D4, 11 → B3, 12 → a3.5, 13 → B4, 14 → C3, 15 → a4, 16 → C4; wherein, A represents reddish brown; b represents red yellow; c represents gray; d represents red gray; the degree of discoloration is represented by a number, the higher the number, the heavier the degree of color cast;

wherein, gray represents the cariosity degree, color values of 6 grades are generated from RGB (255, 255, 255) to RGB (175, 175, 175) according to the same gradient, and the darker gray represents the more serious the cariosity degree;

representing the whitening degree of the tooth surface by A, B, C, D four colors and the depths thereof; each color has 3-5 grades, and the darker the color, the worse the tooth surface whitening condition; a represents reddish brown, and 5 grades of color values are generated from RGB (200, 0, 0) to RGB (100, 0, 0) according to the same gradient; b represents red yellow, and 4 levels of color values are generated from RGB (200, 40, 0) to RGB (240, 60, 0) according to the same gradient; c represents gray, and 4 levels of color values are generated from RGB (200, 200, 200) to RGB (120, 120, 120) according to the same gradient; d represents red gray represented by 3 levels of color values RGB (140, 100, 100), RGB (160, 80, 80) and RGB (180, 60, 60);

pink represents dental plaque, and the shade of pink represents dental plaque degree, and is represented by color numerical values of 3 grades of RGB (255, 230, 230), RGB (255, 200, 200), RGB (255, 170, 170);

dental calculus is represented by a rough material map, and the size of the dental calculus is prompted by the area of the map;

s40, labeling oral information: quantitative labeling is carried out on the result of the image analysis in the step S30 in the personalized tooth model, different materials or colors can be used for representing different lesion types, and the lesion degree is represented by the shade of the color.

Preferably, when the standard oral cavity model is generated in the step S10, if the user 'S age is less than 5 years old, the deciduous tooth model is generated, and if the user' S age is greater than or equal to 5 years old, the permanent tooth model is generated;

the rules for numbering the tooth surfaces in the step S10 are as follows: the upper and lower Tong + the left and right sides + the tooth positions + the tooth surfaces, wherein the upper Tong is represented by U and the lower Tong is represented by D; the left side is denoted by L and the right side is denoted by R; the number of the permanent teeth in the teeth position from the middle incisor to the third molar is 1-8, and the number of the deciduous teeth from the deciduous incisor to the second deciduous molar is I-IV; in the dental surface, the lingual surface is indicated by T, the Tonic surface is indicated by B, the buccal surface is indicated by C, and the labial surface is indicated by L; for example, the number 4 lingual surface of the left cheek of the upper jaw is UL 4T.

Preferably, the sequential acquisition in step S20 is as follows: dividing the individual oral cavity model into 6 areas and numbering, wherein the areas are an upper left back tooth area, an upper front tooth area, an upper right back tooth area, a lower front tooth area and a lower left back tooth area; and the detection order of the 6 regions is as follows: collecting buccal surface, Tong surface and lingual surface of an upper left back dental area from left to right in sequence, collecting labial surface and lingual surface of an upper front dental area from left to right in sequence, collecting buccal surface, Tong surface and lingual surface of an upper right back dental area from left to right in sequence, collecting buccal surface, Tong surface and lingual surface of a lower right dental area from right to left in sequence, collecting labial surface and lingual surface of a lower front dental area from right to left in sequence, and collecting buccal surface, Tong surface and lingual surface of a lower left back dental area from right to left in sequence; after the image is collected, naming the image according to the number of the tooth, the user ID and the collection timestamp;

the manner in which the user autonomously collects and marks in the step S20 is as follows: the method comprises the steps that a user uses an image acquisition module to acquire images on tooth surfaces, then the user selects corresponding tooth surfaces on an individual tooth model, and finally the images are named according to tooth numbers, user IDs and acquisition starting timestamps;

the intelligent video segmentation method in the step S20 is as follows: dividing the individual tooth model into 6 areas and naming the 6 areas, namely an upper left rear tooth area, an upper front tooth area, an upper right rear tooth area, a lower front tooth area and a lower left rear tooth area; prompting a user to use an image acquisition module to carry out mobile video shooting in a certain area according to a detection sequence, extracting a tooth profile by using an edge detection algorithm, judging a current tooth position by combining a user individual tooth model when the complete tooth profile appears in a video frame picture, storing a video frame image, and naming the video frame image according to the tooth number, the user ID and an acquisition timestamp;

the intelligent detection mode of the image in the step S20 is as follows: the user uses the image acquisition module to acquire images on the tooth surface, uses one or more combination of an image recognition algorithm or a target detection algorithm to intelligently detect the images, judges the tooth position and the tooth surface, and names the images according to the tooth number, the user ID and the acquisition timestamp.

Preferably, the images named according to the tooth number, the user ID and the acquisition time stamp correspond to each tooth surface and each periodontal tissue of the user in a one-to-one manner in the oral image acquisition mode in step S20, and correspond to each tooth surface and each periodontal tissue in the oral cavity model in a one-to-one manner.

An intelligent marking device for a three-dimensional model of oral lesions comprises a shooting module, a detection module and a display module, and realizes the steps in the intelligent marking method for the three-dimensional model of the oral lesions through a computer program;

the shooting module is used for shooting an oral lesion picture and transmitting the picture to the detection module; the shooting module is provided with an optical filter with a specific wavelength range, emits light rays with the specific wavelength range, shoots oral cavity pictures, and transmits images to the detection module in a wired or wireless mode;

the detection module is used for identifying the picture shot by the shooting module and transmitting the detection result to the display module; detecting the type, degree and position information of the oral cavity lesion in the picture transmitted by the shooting module through a computer program of an intelligent detection algorithm built in the detection module;

the display module is used for displaying the result transmitted by the detection module, generating an oral cavity three-dimensional model and marking the position and the number of the lesions; the detection result of the detection module is marked in the oral cavity three-dimensional model through a computer program, the types of lesions are distinguished through modes such as different colors or material chartlets, and the positions, the number and the degree of the lesions are marked.

Preferably, the image transmission mode of the shooting module can be WiFi transmission or USB data line transmission, the position of the lesion in the picture transmission of the shooting module can be detected through an intelligent detection algorithm, the image transmission mode can also be manually marked or modified, the oral cavity three-dimensional model generated by the display module can be rotated, zoomed, translated and the like, so that the lesion conditions of different positions can be checked, the change conditions of the oral cavity three-dimensional model at different time points can be displayed in a dynamic mode, and the display module can be a smart phone, an intelligent tablet, a computer display and other equipment.

The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention are equivalent to or changed within the technical scope of the present invention.