CN114582498A

CN114582498A - Correction scheme generation method, display method, device and computer equipment

Info

Publication number: CN114582498A
Application number: CN202210495918.2A
Authority: CN
Inventors: 陈宏旭; 闫波; 曹冠琳; 朱杨芳
Original assignee: Ali Health Technology Hangzhou Co ltd
Current assignee: Ali Health Technology Hangzhou Co ltd
Priority date: 2022-05-09
Filing date: 2022-05-09
Publication date: 2022-06-03

Abstract

The embodiment of the specification provides a correction scheme generation method, a correction scheme display method, a correction scheme generation device, a correction scheme display device and computer equipment. The method comprises the following steps: receiving basic image data representing the actual shape of a body part and target image data of a target shape obtained after adjustment aiming at the actual shape; determining a corrective measure according to the basic image data and the target image data; wherein the corrective measure is used to adjust the body part from the actual configuration to the target configuration; generating a corrective program including the corrective measure. The corresponding correction scheme is generated through the basic image data representing the actual form of the body part and the target image data representing the target form, so that the conversion from the recommendation of the correction scheme by a doctor to the self-customization of the correction scheme by a user is realized, the time cost of visiting a plurality of hospitals by the user is saved, and the resource consumption required for the preliminary examination in the plurality of hospitals is reduced.

Description

Correction scheme generation method, display method, device and computer equipment

Technical Field

The embodiment of the specification relates to the field of plastic correction, in particular to a generation method, a display method, a device and computer equipment of a correction scheme.

Background

As more and more people realize that plastic correction can bring about a certain degree of change in appearance effect, plastic correction goes into the field of vision of the public, and more users seek to bring about a change in appearance through plastic correction. The existing correction schemes are that a user goes to a correction hospital and a doctor gives an examination order, and then a correction scheme is recommended according to the examination order. Since the effect of the correction plan recommended by the doctor is inconsistent with the result expected by the user, the user needs to visit a plurality of hospitals or a plurality of doctors recommend the correction plan with the expected effect, and a lot of time is spent.

Disclosure of Invention

In view of the above, embodiments of the present disclosure are directed to a method for generating a correction plan, a method for displaying a correction plan, an apparatus for generating a correction plan, and a computer device, so as to provide a way for a user to conveniently obtain a correction plan.

An embodiment of the present specification provides a method for generating a correction scheme, including: receiving basic image data representing the actual shape of a body part and target image data of a target shape obtained after the basic image data are adjusted; determining a corrective measure according to the basic image data and the target image data; wherein the corrective measure is used to adjust the body part from the actual configuration to the target configuration; generating a corrective program including the corrective measure.

The embodiment of the specification provides a display method of a correction scheme, which comprises the following steps: acquiring base image data representing an actual shape of a body part; providing a form adjustment interface; the form adjusting interface dynamically displays the adjusting condition of the actual form according to the input of a user to obtain a target form; the image data corresponding to the target form is target image data; displaying a corrective program for adjusting the body part from the actual form to the target form; wherein the correction plan includes one or more correction terms of different dimensions; wherein the correction item corresponds to a corrective measure.

An embodiment of the present specification provides a correction scheme generation apparatus, including: the data receiving module is used for receiving basic image data representing the actual form of a body part and target image data of a target form obtained after the basic image data are adjusted; the corrective measure determining module is used for determining corrective measures according to the basic image data and the target image data; wherein the corrective measure is used to adjust the body part from the actual configuration to the target configuration; a corrective scenario generation module for generating a corrective scenario including the corrective measure.

An embodiment of the present specification provides a display device of a correction scheme, including: a basic image data acquisition module for acquiring basic image data representing an actual form of a body part; the form adjustment display module is used for providing a form adjustment interface; the form adjusting interface dynamically displays the adjusting condition of the actual form according to the input of a user to obtain a target form; the image data corresponding to the target form is target image data; a correction scenario display module for displaying a correction scenario for adjusting the body part from the actual form to the target form; wherein the correction plan includes one or more correction terms of different dimensions; wherein the correction item corresponds to a corrective measure.

The embodiment of the specification provides a computer device, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the method of the embodiment when executing the computer program.

The present specification embodiments propose a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of the embodiments.

According to the embodiment of the specification, the recommended correction scheme is generated and displayed in the client of the user by acquiring the basic image data which is input by the user and represents the actual form of the body part and the target image data of the target form obtained by changing the basic image data in advance, and finally the user can change the recommended correction scheme in the client to be used as the self-customized correction scheme, so that a large amount of time cost of the user is saved, and the convenience of the user for obtaining the correction scheme is improved.

Drawings

FIG. 1 is a diagram illustrating different peer interactions in an example scenario provided by an embodiment.

FIG. 2 is a diagram illustrating different peer interactions in an example scenario provided by an embodiment.

Fig. 3 is a schematic diagram illustrating a method for generating a correction scenario according to an embodiment.

Fig. 4 is a schematic view of a device for displaying an embodiment of a corrective program.

Fig. 5 is a schematic diagram of a basic image data acquisition interface according to an embodiment.

FIG. 6 is a schematic diagram of a form adjustment interface according to an embodiment.

FIG. 7 is a diagram illustrating an interface for displaying tooth condition categories according to an embodiment.

FIG. 8 is a schematic diagram of a tooth condition category display interface according to an embodiment.

Fig. 9 is a schematic view of an orthodontic solution display interface according to an embodiment.

Fig. 10 is a schematic diagram of an apparatus for generating a corrective measure according to an embodiment.

Figure 11 is a schematic diagram of an embodiment of a device for displaying an orthotic device.

FIG. 12 is a diagram illustrating a computer device, according to an embodiment.

Detailed Description

In order to make the technical solutions in the present specification better understood, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, but not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art without any inventive work based on the embodiments in the present specification belong to the protection scope of the present specification.

Please refer to fig. 1 and fig. 2. The present specification provides an example scenario for a corrective scenario generation system. The corrective program generation system may include a client and a server. The user may be a person who desires a facial modification by orthodontic treatment, and may desire a recommended orthodontic treatment and corresponding projected resource consumption by an orthodontic treatment plan generating system.

The server can provide a basic image data input interface for the client and provide corresponding prompt information. The user can input a facial photograph including a frontal photograph and a lateral photograph and an intra-oral photograph including an anterior dental photograph, a left dental photograph, a right dental photograph, a lower occlusal region photograph and an upper occlusal region photograph through the basic image data input interface. After the server receives the facial photo and the oral cavity internal photo, specific ranges of the facial photo in which the lower jaw, the lips and the chin can be adjusted up and down and left and right are generated and sent to the client. The user can adjust the upper jaw, the lips and the chin in the specific range in the client to obtain target image data as an expected effect, and the target image data is sent to the server.

After the server receives the oral cavity internal photo, the oral cavity internal photo can be input into a pre-trained neural network model, similarity calculation is carried out on the oral cavity internal photo and the dental deformity type and the dental condition information, so that the dental deformity type corresponding to the basic image data representing the teeth is 'ground covered sky', and the dental condition can be dentition crowding, underbite, dental floss misalignment, dental caries and serious gingival atrophy. Meanwhile, the server returns the tooth malformation type and the tooth condition to the client, and displays the malformation type example pictures corresponding to 'ground cover sky' and dentition crowding, anti-jaw, floss misalignment and the like on the client.

When the tooth conditions are determined to be dentition crowding, underbite, dental floss misalignment, dental caries and serious gingival atrophy, the server can establish corresponding three-dimensional models according to different correction measures and carry out similarity calculation on the target three-dimensional models established according to target image data, the correction scheme corresponding to the maximum similarity value is that tooth extraction is needed, bone nails do not need to be nailed, teeth are neat, smiling lines need to be adjusted, occlusion needs to be adjusted, an invisible appliance needs to be worn, a senior specialist needs to be selected, and a recommended hospital is used as a recommended orthodontic scheme, and the estimated resource consumption of the recommended orthodontic scheme is returned to the client. The user can autonomously select orthodontic schemes needing tooth extraction, needing no bone screw, needing tooth tidiness, needing smile line adjustment, needing no occlusion adjustment, needing person adjustment, needing tongue side appliance wearing and needing a main physician to be selected as autonomous customization on the basis of recommending the orthodontic schemes. The server can generate corresponding estimated prices in time and return the estimated prices to the client after receiving the independently customized orthodontic schemes. After the user determines the self-customized orthodontic scheme in the client, an "advisory" control can be triggered. At this time, after receiving the orthodontic scheme, the server may send the orthodontic scheme to an oral doctor in the professional field to evaluate the orthodontic scheme, and the user may also communicate with the oral doctor about the orthodontic scheme.

The above description is only exemplary of the present disclosure and should not be construed as limiting the present disclosure, and any modifications, equivalents and the like that are within the spirit and principle of the present disclosure are intended to be included within the scope of the present disclosure.

The embodiment of the specification provides a correction scheme generation system. The corrective program generation system may include a client and a server. The client may be an electronic device with network access capabilities. Specifically, for example, the client may be a desktop computer, a tablet computer, a notebook computer, a smart phone, a digital assistant, a smart wearable device, a shopping guide terminal, a television, a smart speaker, a microphone, and the like. Wherein, wearable equipment of intelligence includes but not limited to intelligent bracelet, intelligent wrist-watch, intelligent glasses, intelligent helmet, intelligent necklace etc.. Alternatively, the client may be software capable of running in the electronic device. The server may be an electronic device having a certain arithmetic processing capability. Which may have a network communication module, a processor, memory, etc. Of course, the server may also refer to software running in the electronic device. The server may also be a distributed server, which may be a system with multiple processors, memory, network communication modules, etc. operating in coordination. Alternatively, the server may also be a server cluster formed by several servers. Or, with the development of scientific technology, the server can also be a new technical means capable of realizing the corresponding functions of the specification implementation mode. For example, it may be a new form of "server" implemented based on quantum computing.

Referring to fig. 3, an embodiment of the present disclosure provides a method for generating a correction plan. The correction scheme generation method can be applied to a server. The method may comprise the following steps.

Step S110: basic image data representing the actual shape of a body part and target image data of a target shape obtained by adjusting the basic image data are received.

In some cases, the effect obtained after passing through a corrective program that is not the same as the effect the user wants to obtain is often determined aesthetically by the physician. Therefore, it is possible to recommend a corrective solution to the user on the basis of the basic image data representing the actual form of the body part and the target visual data representing the target form adjusted for the basic image data, in accordance with the user's expectation.

The body part may be adapted to produce a visual change in the appearance of the person. Specifically, the eyes, nose, lips, chin, jaw, teeth, etc. of the human body are illustrated. Of course, other external parts of the human body may be used, such as the thigh, the calf, the chest, the stomach, and the like, which can be directly seen by people.

The base image data may be used to represent the actual morphology of the body part. The base image data may be a photograph, CT, X-ray film, nuclear magnetic resonance image, point cloud data, etc. including the actual shape of the body part. Of course, the video data may be the video data representing the actual shape of the body part.

The target image data may be used to represent a target morphology of a body part. Specifically, for example, the user inputs actual photograph data including a nose to the client while adjusting his/her nose, and then inputs target image data indicating a target form adjusted based on the actual photograph to the client.

Step S120: determining a corrective measure according to the basic image data and the target image data; wherein the corrective measure is used to adjust the body part from the actual configuration to the target configuration.

In some cases, after the base image data and the target image data are acquired, it is necessary to generate a corrective measure for adjusting the base image data representing the actual form of the body part to the target image data representing the target form, based on the base image data and the target image data input by the user.

The method for determining corrective measures may include establishing an actual model representing an actual shape of the body part from the base image data and establishing a target model representing a target shape from the target image data to determine the corrective measures required to adjust the actual model to the target model. Different corrective measures in different dimensions are added to the actual model, and the effect obtained after the corrective measures are carried out on the actual model is generated as an intermediate model. And performing similarity calculation on the intermediate model and the target model, and taking the corrective measure adopted in the intermediate model corresponding to the maximum similarity value as the corrective measure for converting the initial form into the target form. Specifically, for example, the user inputs a picture of his face and a picture of the inside of the mouth to the client, and a picture of the expected effect of the adjusted picture of the face. The server can establish a model of the three parts of the jaw, the lip and the jaw as an initial model according to the facial picture and the oral cavity internal picture and establish a model of the three parts of the jaw, the lip and the jaw as a target model according to the expected effect picture. Under the condition that the correction measures include whether tooth extraction is needed or not, whether bone nails are needed or not and the types of the worn correction devices are traditional metal correction devices, semi-invisible correction devices, lingual correction devices and invisible correction devices, the server can generate 12 middle models of correction schemes according to the three correction items. After the 12 intermediate models are generated, similarity calculation is carried out on the 12 intermediate models and a target model respectively, after the similarity calculation, if a correction scheme corresponding to the maximum similarity value is that tooth extraction is needed, bone nails do not need to be driven, and an invisible appliance needs to be worn, the correction scheme is used as a correction measure for adjusting the actual form to the target form.

In some cases, the user wants to change his/her appearance by straightening teeth, and then image data representing the facial appearance and intraoral data representing the teeth may be input. The server may build a three-dimensional model representing the actual morphology from the image data representing the facial appearance and the intraoral data representing the teeth. Under the condition that the correction measures include whether tooth extraction is needed or not, whether bone nails are needed or not and the type of the worn correction appliance is a traditional metal correction appliance, a semi-invisible correction appliance, a lingual correction appliance and an invisible correction appliance, the server can generate 12 intermediate models representing facial appearances corresponding to correction schemes according to the three correction items. After the 12 intermediate models are generated, the 12 intermediate models are subjected to similarity calculation with target models representing target morphologies, respectively, which are created from the face appearance data. After similarity calculation, if the correction scheme corresponding to the maximum similarity value is that tooth extraction is needed, bone screw driving is not needed, and an invisible appliance is needed to be worn, the correction scheme is used as a correction measure for adjusting the actual form to the target form.

Step S130: generating a corrective program including the corrective measure.

After the corrective measures are determined, information of a proper hospital, a doctor and the like needs to be recommended according to the difficulty of the corrective measures, so that a corrective scheme including the corrective measures is generated and sent to the client.

The generated corrective program may also include information for recommending appropriate hospitals, doctors, etc. according to the difficulty of the corrective measures. Specifically, for example, the user wants to change the shape of the face by orthodontically correcting the teeth. After the operation of the server, the user needs to align teeth, adjust smile lines, adjust occlusion, adjust the human body, wear a hidden appliance and the like, and can achieve the expected effect. The server determines the difficulty of the correction operation according to a preset difficulty evaluation rule, and the corresponding recommended doctor is a qualified expert. After the orthodontic operation is performed, the desired effect may not be achieved once, so that correction schemes such as free restart, free doctor replacement, and the like can be selected. In the selection of hospitals, different hospitals are scored according to orthodontic operation measures required to be carried out, and the hospital with the highest score is selected as a recommended correction scheme. And finally, returning the correction schemes comprising the correction measures, the doctor recommendation, the hospital recommendation and the subsequent service selection to the client, and displaying the correction schemes to the user through a display device connected with the client. The user can also adjust the recommended correction scheme to obtain an autonomous customized correction scheme and send the autonomous customized correction scheme to the server.

In some cases, the user may also view the remediation plan through a client and may modify the remediation plan to generate an autonomously customized remediation plan.

In some embodiments, the step of receiving base image data representing an actual shape of the body part and target image data of a target shape adjusted for the base image data may include: receiving base image data representing an actual morphology of a body part; generating an adjusting interval in which the actual form can be adjusted; sending the adjustment interval to a client; and receiving target image data of a target form obtained after the actual form is adjusted in the adjusting interval by the client.

The adjustment range representing the actual form of the body part needs to be limited to a reasonable interval. Therefore, the server can generate an adjustment interval according to the actual form and return the adjustment interval to the client, so that the adjustment of the actual form by the user is limited in the adjustment interval, the actual form is adjusted to the target form, and the target image data is generated.

The adjustment zone may be used to indicate the range over which the body part can be adjusted. Specifically, for example, the user wants to bring about a change in the appearance of the lips and chin through orthodontic treatment. After receiving the data representing the inside of the oral cavity of the teeth and the data representing the facial appearance of the lips and the chin, the server establishes a three-dimensional model representing the actual shapes of the lips and the chin, and generates a range of left and right adjustability of the lips between-4 mm and 4mm, a range of up and down adjustability between-3 mm and 3mm, a range of left and right adjustability of the chin between-3 mm and 3mm, and a range of up and down adjustability between-5 mm and 3mm by adjusting the teeth to the maximum extent. The user can then adjust the lips and chin up and down and left and right within the adjustment range generated by the server.

In some embodiments, the step of generating the actual form adjustable adjustment interval may include: establishing a three-dimensional model representing an actual form based on the basic image data; and determining an adjustable adjusting interval of the actual form according to the three-dimensional model.

After the three-dimensional model representing the actual form is established for the basic image data, operations such as stretching, zooming, moving and the like can be performed on the actual form in the three-dimensional model, and the adjustment interval of the actual form is determined according to the maximum deformable range of the actual form.

The three-dimensional model may be determined from position coordinates representing the actual form in the base image data. Specifically, the user adjusts his or her nose, and inputs face appearance data indicating the nose at the client. After acquiring the face appearance data representing the nose, the server builds a three-dimensional model representing the nose according to the edge coordinates of the nose, the coordinates of the bridge of the nose and the coordinates of the pixels in the middle part of the nose. After the three-dimensional model representing the nose is built, maximum stretching of the nose within a variable range produces an adjustment range that the nose can adjust.

In some embodiments, the orthodontic plan includes an orthodontic plan, and the step of receiving base image data representing an actual form of the body part and target image data of a target form adjusted for the base image data may include: receiving base image data representing an actual form of a face appearance and target image data representing a target form of the face appearance; wherein the facial appearance actual shape includes at least one of: the actual form of the lips, the actual form of the chin, the actual form of the mandible; generating the orthodontic plan based on the actual form represented by the base image data and a target form represented by the target image data.

The user wants to adjust the appearance of his face by adjusting the teeth. The class of tooth deformity can be roughly determined from the facial appearance. The positions of lips, chin, jaw, etc. under the nose can be adjusted by correcting teeth. Therefore, the corresponding tooth orthodontic scheme can be generated according to the part adjusting result of the user in the part adjusting interval.

In some embodiments, the step of receiving base image data representing an actual form of the face appearance and target image data of the target form of the face appearance may include: determining an adjustable adjusting interval of the actual shape of the face appearance according to the basic image data; sending the adjustment interval to a client; and receiving target image data of a target form, which is obtained after the actual face appearance form is adjusted in the adjusting interval and sent by the client.

In some cases, an adjustment zone in which the body part can be adjusted may be determined according to the part that the user needs to adjust. Specifically, if the user wants to adjust his or her eyes, the server acquires the preset adjustment range of the eyes of [ -2mm,2mm ], and about [ -3mm,3mm ], after acquiring the data input by the user from the client.

In some embodiments, the basic image data may further include data representing an interior of an oral cavity of a tooth, and the step of determining an adjustment interval for which the actual shape of the facial appearance can be adjusted may include: establishing a three-dimensional model representing the facial appearance based on the basic image data representing the actual shape of the facial appearance and the internal data of the oral cavity; and determining an adjustable adjusting interval of the actual shape of the face appearance according to the three-dimensional model representing the face appearance.

In some cases, where the actual shape representing the appearance of the face is the same, there may be different instances of the teeth to which the actual shape corresponds. Therefore, it is necessary to create a three-dimensional model representing the appearance of the face from the data representing the interior of the mouth of the teeth and the base image data representing the actual form of the appearance of the face, and the accuracy of the adjustment range in which the actual form representing the appearance of the face can be adjusted can be further improved.

The intraoral data includes specific shapes of teeth. Specifically, for example, if the internal data of the oral cavity input by the user is internal data of the oral cavity including the upper front teeth, the server may generate the shapes of the remaining teeth from the shapes of the upper front teeth and the facial appearance data after acquiring the internal data of the oral cavity, and may further determine the type of the tooth deformity from the shapes of the teeth.

In some embodiments, the intra-oral data representative of teeth may include at least one of: anterior tooth image data, left tooth image data, right tooth image data, lower occlusion region image data, and upper occlusion region image data.

In this embodiment, a model representing teeth can be built from intra-oral data. Specifically, for example, the user inputs front tooth image data, left tooth image data, right tooth image data, lower occlusion region image data, and upper occlusion region image data to the client, and after receiving the data input by the user, the server may use a certain pixel in the front tooth image data as a coordinate origin, and then concatenate the remaining image data with the front tooth image data, thereby obtaining complete tooth image data.

In some embodiments, the step of generating the orthodontic plan according to the actual form represented by the base image data and the target form represented by the target image data may include: determining a corrective measure for teeth that adjusts the actual configuration to the target configuration based on a difference between the base image data and the target image data; generating an orthodontic plan including the dental corrective measure.

The server can also calculate the offset distance and the offset direction of the basic image data in the basic image data adjusted to the target image data in the target image data to obtain the corresponding corrective measure for adjusting the basic image data to the target image data. Specifically, for example, if the user adjusts the actual configuration of the jaw to the target configuration of 4mm downward, the corresponding corrective action generated by the server is to drive a bone screw into the mandible.

In some embodiments, the orthodontic plan comprises an orthodontic plan, and prior to the step of determining the corrective measure from the base image data and the target image data, may include: and determining the actual tooth condition types of the basic image data in different tooth condition judgment dimensions.

In some cases, the method and ease of adjusting the actual morphology to the target morphology may be determined by determining the tooth actual condition category in different tooth condition determination dimensions. Therefore, similarity calculation can be performed on the actual shape data and the data features in the preset first deep learning model, and the tooth condition categories on different dimensions corresponding to the similarity with the similarity larger than the first preset threshold value are used as the tooth actual condition categories.

The method for determining the tooth actual condition category of the basic image data in different tooth condition judgment dimensions can be that a server can extract image features of data in the oral cavity; wherein the image features include the following: histogram of directional gradients features, local binary pattern features, edge features, linear features, center features, diagonal features. Inputting the image characteristics into a preset Bayes depth learning model to obtain the similarity of the image data in the oral cavity and different tooth judgment dimensions; and taking the maximum value of the similarity on the different tooth judgment dimensions as the tooth actual condition category. Of course, a three-dimensional model representing the teeth may also be established based on the intra-oral image data; calculating the distance between teeth as the tooth distance according to the three-dimensional model of the teeth; wherein the tooth spacing comprises: the distance between two adjacent teeth in the same row and the distance between two teeth in the same row; the actual condition category of the teeth can be determined according to the tooth spacing.

In some embodiments, the tooth condition determination dimension may include at least one of: the closeness of the dentition; wherein the dentition closeness comprises dentition crowding or dentition sparsity; or, a type of deformity of the tooth; wherein the malformation category of the tooth includes one of: the method comprises the following steps of (1) anti-jaw, deep covering, jaw relieving and jaw opening; or, the tooth centerlines are not aligned; or, a caries condition; wherein the carious condition comprises the presence or absence of caries in the tooth; or, gingival conditions; wherein the gingival condition comprises one of: the gum atrophy is severe, the gum is slightly atrophic, and the gum is healthy.

In some cases, the method and ease of adjusting the actual morphology to the target morphology may be determined by determining the tooth actual condition category in the dimension by determining the different tooth conditions in the different dimensions. In particular, for example, where the dentition closeness is a dentition user, the recommended corrective program may include a need for tooth extraction. As another example, in the case of misalignment of the tooth centerlines, then a clean tooth centerline may be included in the recommended corrective program.

In some embodiments, the step of determining a corrective measure according to the base image data and the target image data may include: generating a corrective measure for adjusting the actual form to the target form according to the tooth actual condition category and the target image data; wherein the corrective measures include different corrective dimensions.

In some cases, multiple corrective measures are included in the same corrective dimension, so corrective measures in different dimensions can be combined to determine the appropriate corrective measure so that the base image data can be adjusted to the target image data.

The generating of the corrective measure for adjusting the actual form to the target form according to the tooth actual condition type and the target image data may be determining a corresponding corrective measure according to the tooth actual condition type. Under the condition that the correction measures in the same dimension are uncertain, corresponding correction models can be established with the determined correction measures respectively, similarity between the correction models and the models representing the target forms is carried out, and the correction measure corresponding to the maximum value of the similarity is used as the correction measure for adjusting the actual form to the target form.

In some embodiments, the corrective dimension may include at least one of: tooth extraction dimension; wherein the tooth extraction dimension comprises one of: tooth extraction is needed, tooth extraction is not needed, and whether tooth extraction is needed or not is uncertain; a bone screw dimension, wherein the bone screw dimension comprises one of: the need to beat bone nail, do not need to beat bone nail, uncertain need to beat bone nail; adjusting a required dimension, wherein the adjusting required dimension comprises at least one of: the teeth are tidy, smile line adjustment, occlusion adjustment and human-in-human adjustment are carried out; an appliance selection dimension, wherein the appliance selection dimension comprises one of: traditional metal appliance, semi-invisible appliance, lingual appliance, invisible appliance.

In some cases, corrective measures in different dimensions may bring about different corrective effects. In particular, for example, if the corrective measures include a condition requiring tooth extraction, crowding of the teeth can be ameliorated. For another example, the problem of non-protruding lips can be solved by selecting a hidden appliance, and when a traditional appliance is selected, the protruding lips can be brought, and the traditional appliance can be directly observed when teeth are exposed to laughing, thereby realizing the visual effect.

In some embodiments, the step of generating a corrective program including the corrective measure may further include at least one of: recommending a suitable doctor; wherein the physician includes at least one of: a senior specialist, a primary and a secondary primary physicians; or, recommend an appropriate follow-up service; wherein the subsequent service includes at least one of: re-customizing the correction scheme under the condition of not consuming resources, and replacing doctors under the condition of not consuming resources; or, selection of a hospital; or, selection of resource consumption patterns.

In some cases, in addition to recommending corrective measures, it may be desirable to recommend other corrective programs to the user, such as appropriate corrective mechanisms and corrective physicians and follow-up services. Therefore, it is possible to recommend an appropriate corrective doctor according to the degree of difficulty of corrective measures for the user, and to comprehensively consider the most appropriate hospital according to the recommended corrective measures.

The method for recommending proper doctors can recommend a qualified specialist to treat the teeth under the condition that the actual tooth conditions exceed 4 according to the actual tooth conditions; in the case that the actual tooth conditions exceed 3, the treating is recommended to the chief physician; when the actual tooth conditions are 2 or less, a general doctor is recommended to treat the tooth.

The hospital selection method can perform weighted summation according to the correction measures in different dimensions and the correction scheme on the dimension which is good for the hospital, so that the hospital corresponding to the maximum value after weighted summation is returned to the client as the correction scheme.

In some embodiments, after the step of generating the corrective program including the corrective measure, may include: and generating the estimated resource consumption of the correction scheme.

In some cases, the user needs to obtain the estimated resource consumption of the correction scheme in addition to the recommended correction scheme, so that the user can adjust the correction scheme according to the actual needs of the user, and excessive resource consumption disputes are avoided.

The method for generating the estimated resource consumption of the correction scheme can be obtained by calculating the resources required to be consumed by the hospital in various dimensions for the correction measures recommended in the correction scheme and jointly calculating the selection of doctors seeking the resources for treatment, subsequent services and resource consumption modes.

In some embodiments, after the step of generating the corrective program including the corrective measure, the method may further include: sending the correction scheme to a client; acquiring a result of the client after adjusting the correction measures in different dimensions as an autonomous customized correction scheme; accordingly, a pre-estimated resource consumption of the self-customized corrective program is generated.

In some cases, the user may be unsatisfied with the recommended corrective program, requiring partial adjustments to the corrective program in different dimensions to create an autonomously customized corrective program. Meanwhile, when the user selects the correction schemes in different dimensions, the server can also acquire the correction schemes adjusted by the user in real time, generate estimated resource consumption and return the estimated resource consumption to the client.

The self-customized correction scheme is a correction scheme which is changed by a user according to the correction scheme recommended by the server. Specifically, for example, the correction scheme recommended by the server is that tooth extraction is required, bone nails are not required to be nailed, a hidden appliance is required to be worn, and a master physician is required to perform correction operation on the correction scheme; the correction scheme determined by the user at the client is that tooth extraction is needed, bone nails are needed to be nailed, a lingual appliance is worn, and a skilled specialist is needed to perform correction operation for the correction scheme as an autonomous customized correction scheme. Correspondingly, the server also generates corresponding estimated resource consumption according to the correction scheme customized by the user.

Referring to fig. 4, embodiments of the present disclosure provide a method for displaying a corrective program, which may include the following steps.

Step S210: base image data representing an actual morphology of a body part is acquired.

In some embodiments, it may be desirable to generate features of the actual morphology from data representing the actual morphology and to provide a corresponding correction plan. Therefore, by providing a data input interface at the client, the basic image data can be input to the client and sent to the server after the user triggers the data input operation.

The method of acquiring the underlying image data representing the actual morphology of the body part may be by providing a data input interface. And when the user triggers the touch button, basic image data of an actual form needs to be input to the client. The basic image data of the actual form can be input by selecting data in a memory connected with the client by a user, and after triggering confirmation operation, the basic image data of the actual form can be sent to the server. Of course, the user may also take a picture immediately through a camera connected to the client, and after the picture is taken, a confirmation operation is triggered, and the basic image data in the actual form may be sent to the server. Specifically, for example, a user wants to adjust the face effect of the user through tooth orthodontics, after a shooting button is triggered, a face appearance photo is selected from an album and input into a client, after a confirmation button is triggered, the client sends the face appearance photo to a server, the server further judges whether the input face appearance photo meets the requirement, and under the condition that the input face appearance photo meets the requirement, the server requires the user to continuously input photos into the client until all photos are obtained; in case of non-compliance, the server will prompt the user to re-enter through the client.

Step S220: providing a form adjustment interface; the form adjusting interface dynamically displays the adjusting condition of the actual form according to the input of a user to obtain a target form; the image data corresponding to the target form is target image data.

In some cases, the user wants to acquire intermediate image data generated during the adjustment process. Therefore, a form adjustment page can be provided for the user, so that the user can immediately know the expected effect after adjustment, and then the adjustment result suitable for the form of the user can be selected.

The form adjustment interface is used for dynamically showing that a user adjusts basic image data representing the actual form of the body part to target image data representing the target form. The form adjustment interface may be provided with different part selection spaces and corresponding adjustment controls. And the adjusting range which can be adjusted by the adjusting control is consistent with the adjusting range of the part generated by the server. Specifically, for example, if a user wants to adjust his lips, the user may trigger a lip control in the part selection control, and then the server may generate an adjustment range of the lips, which is-2 mm to 3mm in the up-down direction and-4 mm to 4mm in the left-right direction, and display the adjustment range in the corresponding adjustment control. The user can pull the progress bar of the adjusting control, display the adjusted effect picture on the form adjusting interface, and send the adjusting result to the server as the target image data after obtaining the satisfactory effect.

Step S230: displaying a corrective program for adjusting the body part from the actual form to the target form; wherein the correction plan includes one or more correction terms of different dimensions; wherein the correction item corresponds to a corrective measure.

After acquiring the basic image data representing the actual form of the body part and the target image data representing the target form, correction schemes in different dimensions need to be generated as recommended correction schemes and displayed on a client.

In some embodiments, after the correction plan display interface displays the recommended correction plan to the user, the user may adjust the recommended correction plan at the correction plan display interface according to the user's needs.

The method of presenting a corrective measure for adjusting the body part from the actual configuration to the target configuration may be presenting the corrective measure in different dimensions at the client. The correction measures of different dimensions correspond to correction schemes of the dimension, and each correction scheme is provided with a radio box or a check box corresponding to the correction scheme. Specifically, for example, in the dimension of whether tooth extraction is required, the correction plan is tooth extraction required, tooth extraction is not required, and whether tooth extraction is required is not determined, the correction plan of the dimension corresponds to the radio frame. For another example, if the adjustment requirement dimension corresponds to tooth alignment, smile line adjustment, occlusion adjustment, and in-person adjustment, the check box corresponds to the correction scheme in the dimension. The user can check correction schemes in different dimensions at a correction scheme selection interface in the client, so that corresponding predicted consumed resource amount is generated.

Referring to fig. 5, in some embodiments, the step of acquiring the basic image data representing the actual shape of the body part may further include: providing an input requirement description of the base image data and/or an example picture of the base image data.

The user can clearly know the format of the picture to be input by showing the description and the corresponding example picture which comprise the initial form, thereby avoiding the trouble that the system judges that the picture pattern does not meet the requirement and the user needs to input the picture for many times.

The base image data is used to represent the actual morphology of the body part. The base image data may include a picture representing the actual shape of the body part, CT, X-ray, DR picture, MRI image picture, etc. The user can input the corresponding basic image data according to the corresponding prompt needing to input data and the example picture on the data input interface in the client, so that the data acquisition requirement of the server can be met only by inputting the data once.

In some cases, in order to achieve adjustment of the facial appearance by straightening teeth, it is necessary to acquire base image data representing the facial appearance and intraoral data representing the teeth. Therefore, in the orthodontic treatment process, an input interface including facial appearance data and an input interface including intra-oral data need to be presented at a client.

In some embodiments, the step of providing a morphology adjustment interface may comprise: acquiring an adjusting range of the server capable of adjusting the actual form; and providing a body part selection control and an adjustment amplitude set according to the adjustment range on the form adjustment interface.

In some cases, it is necessary to show the result of the user's adjustment to the initial shape in the base image data. Therefore, the adjusted part and the adjustment amplitude control set according to the adjustable range of the adjusted part are displayed on the form adjustment interface, and after the adjusted part is determined, the adjusted result can be displayed on the form adjustment page by dragging the adjustment amplitude control.

Referring to fig. 6, in some embodiments, the orthodontic solution may include an orthodontic solution, and the step of providing a morphology adjustment interface may include: acquiring an adjustable adjusting range of basic image data representing the actual form of the body part by a server; wherein the adjustment range includes at least one of: the adjustment range of the mandible, the adjustment range of the mouth and the adjustment range of the jaw; and providing the body part selection control and the adjustment amplitude corresponding to the body part on the form adjustment interface.

In some cases, after orthodontic treatment, the appearance of the part under the nose, such as the chin, the mandible, the lips, and the like of the human body can be changed. Therefore, the facial effect of the user after orthodontics on the teeth can be obtained by arranging the chin, the lower jaw, the lips and the like and the corresponding adjusting braces.

In some embodiments, the method of providing a morphology adjustment interface may further comprise: displaying in a first display mode when the body part selection control is triggered; displaying using a second display mode under the condition that the body part selection control is not triggered; wherein the first display mode and the second display mode are different.

When there are a plurality of portions to be adjusted by the user, it is necessary to visually show that the user is confirming the adjustment portions. Therefore, the part needing to be adjusted triggered by the user and the part needing to be adjusted which is not triggered can be displayed in different modes.

The first display mode may be different from a second display mode of the non-triggered part selection control for the triggered selection control when the part selection control is triggered. The first display mode and the second display mode can be distinguished by using different colors, different fonts and the like. Specifically, for example, the part selection control includes a lower jaw, a chin and lips, and when the lips are triggered, the lips are displayed in a first display mode; the chin and mandible selection controls are displayed using a second display mode. After the lips are adjusted, the lower jaw selection control in the client is triggered again, the lower jaw selection control is displayed in a first mode at the moment, and the lips and the chin are displayed in a second display mode.

Referring to fig. 7 and 8, in some embodiments, the orthodontic regimen includes an orthodontic regimen, and a method of displaying the orthodontic regimen may further include: displaying the actual tooth condition categories in different tooth condition judgment dimensions; wherein the dental condition category further comprises a description of the dental actual condition and/or an example picture corresponding to the dental actual condition.

In order to enable the user to quickly know the actual tooth condition category, the description corresponding to the actual tooth condition category and the example picture need to be displayed on the client. Therefore, an actual tooth condition display interface can be provided at the client, so that the user can know the input tooth condition type and the corresponding example picture, and further can understand the recommended reason of the recommended orthodontic scheme.

Referring to fig. 9, in some embodiments, after the step of presenting the corrective measure for adjusting the body part from the actual configuration to the target configuration, the method may include: obtaining the result of the client after adjusting the correction scheme as an autonomous customized correction scheme; generating estimated resource consumption of the self-customized correction scheme; and displaying the estimated resource consumption in the client.

In some cases, the user is not satisfied with the corrective measures recommended by the server according to a certain algorithm and wants to modify the corrective measures by himself. Therefore, the result of the corrective measure change of the user in the client can be obtained as the user self-customized corrective scheme, and the resource consumption required by the self-customized corrective scheme is displayed on the client.

The method for acquiring the result of the client after adjusting the correction scheme as the self-customized correction scheme may be that the correction schemes in different dimensions all correspond to radio boxes and check boxes, and the user can select the satisfactory correction scheme only by checking the radio boxes and the check boxes. Of course, a different display from the non-selected correction scenario may be used for presentation at the client. In addition to the user's desire to obtain a recommended solution for adjusting the actual form to the target form, the user needs to obtain an estimated resource consumption of the recommended solution. Therefore, while the user adjusts the recommended solution, the estimated resource consumption of the adjusted correction solution needs to be displayed on the correction solution interface.

In some embodiments, the method of presenting a corrective program for adjusting the body part from the actual configuration to the target configuration may further comprise: a consultation control is displayed on the correction scheme selection interface; sending the self-customized correction scheme to a server under the condition of triggering the consultation control; acquiring professional evaluation results returned by the server; and displaying the evaluation result on a result evaluation interface.

In some cases, due to lack of professional medical knowledge, the pursuit of the corrected effect may be less reasonable, or the autonomously adjusted correction scheme may not meet the target morphology requirements in the target image data. Therefore, after the user determines the correction scheme customized by the user, a chat interface is generated, the correction scheme customized by the user is evaluated by a professional doctor, and the evaluation result is displayed on the chat interface. Meanwhile, the user can interact with the professional person on the chat interface.

Referring to fig. 10, in some embodiments, a device for generating a corrective scenario may include: the device comprises a data receiving module, a correction measure determining module and a correction scheme generating module.

The data receiving module is used for receiving basic image data which represent the actual shape of the body part and target image data which are obtained by adjusting the basic image data and have the target shape.

The corrective measure determining module is used for determining corrective measures according to the basic image data and the target image data; wherein the corrective measure is used to adjust the body part from the actual configuration to the target configuration.

A corrective scenario generation module for generating a corrective scenario including the corrective measure.

Referring to fig. 11, in some embodiments, a display device for a corrective program may be provided, which may include: the device comprises a basic image data acquisition module, a form adjustment display module and a correction scheme display module.

A basic image data acquisition module for acquiring basic image data representing an actual form of the body part.

The form adjustment display module is used for providing a form adjustment interface; the form adjusting interface dynamically displays the adjusting condition of the actual form according to the input of a user to obtain a target form; the image data corresponding to the target form is target image data.

A correction scenario display module for displaying a correction scenario for adjusting the body part from the actual form to the target form; wherein the correction plan includes one or more correction terms of different dimensions; wherein the correction item corresponds to a corrective measure.

The specific functions and effects achieved by the correction scheme generation device and the correction scheme display device can be explained by referring to other embodiments in this specification, and are not described herein again. The respective modules in the device for generating the correction plan and the device for displaying the correction plan can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

Referring to fig. 12, in some embodiments, a computer device may be provided, which includes a memory and a processor, the memory storing a computer program, and the processor implementing the method steps in the embodiments when executing the computer program.

In some embodiments, a computer-readable storage medium may be provided, on which a computer program is stored, which when executed by a processor implements the method steps in the embodiments.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include processes of the embodiments of the methods. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), for example.

It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The description is made in a progressive manner among the embodiments of the present specification. The different embodiments focus on the different parts described compared to the other embodiments. After reading this specification, one skilled in the art can appreciate that many embodiments and many features disclosed in the embodiments can be combined in many different ways, and for the sake of brevity, all possible combinations of features in the embodiments are not described. However, as long as there is no contradiction between combinations of these technical features, the scope of the present specification should be considered as being described.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

In the present specification, the embodiments themselves are emphasized differently from the other embodiments, and the embodiments can be explained in contrast to each other. Any combination of the embodiments in this specification based on general technical common knowledge by those skilled in the art is encompassed in the disclosure of the specification.

The above description is only an embodiment of the present disclosure, and is not intended to limit the scope of the claims of the present disclosure. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present application shall be included in the scope of the claims of the present application.

Claims

1. A method of generating a corrective program, comprising:

receiving basic image data representing the actual shape of a body part and target image data of a target shape obtained by adjusting the basic image data;

determining a corrective measure according to the basic image data and the target image data; wherein the corrective measure is used to adjust the body part from the actual configuration to the target configuration;

generating a corrective program including the corrective measure.

2. The method of claim 1, wherein the step of receiving base image data representing an actual morphology of a body part and target image data of a target morphology adjusted for the base image data comprises:

receiving base image data representing an actual morphology of a body part;

generating an adjusting interval in which the actual form can be adjusted;

sending the adjustment interval to a client;

and receiving target image data of a target form obtained after the client adjusts the basic image data in the adjusting interval.

3. The method of claim 2, wherein the step of generating the actual form adjustable conditioning interval comprises:

establishing a three-dimensional model representing an actual form based on the basic image data;

and determining an adjustable adjusting interval of the actual form according to the three-dimensional model.

4. The method of claim 1, wherein the step of receiving base image data representing an actual morphology of a body part and target image data of a target morphology adjusted for the base image data comprises:

receiving base image data representing an actual morphology of a body part;

determining an adjustable adjusting interval of the actual form according to the body part represented by the actual form;

sending the adjustment interval to a client;

and receiving target image data of a target form obtained after the actual form is adjusted in the adjusting interval by the client.

5. The method of claim 1, wherein the orthodontic plan comprises an orthodontic plan, and wherein the step of receiving base image data representing an actual configuration of the body part and target image data of a target configuration adjusted for the base image data comprises:

receiving base image data representing an actual form of a face appearance and target image data representing a target form of the face appearance; wherein the facial appearance actual shape includes at least one of: the actual form of the lips, the actual form of the chin, the actual form of the mandible;

generating the orthodontic plan based on the actual form represented by the base image data and a target form represented by the target image data.

6. The method of claim 5, wherein the step of receiving base image data representing an actual morphology of the body part and target image data of a target morphology adjusted for the base image data comprises:

determining an adjustable adjusting interval of the actual shape of the face appearance according to the basic image data;

sending the adjustment interval to a client;

and receiving target image data of a target form, which is obtained after the actual face appearance form is adjusted in the adjusting interval and sent by the client.

7. The method of claim 6, wherein the base image data further comprises intra-oral data representing teeth, and the step of determining an adjustment interval for which the actual shape of the facial appearance can be adjusted comprises:

establishing a three-dimensional model representing the facial appearance based on the basic image data representing the actual shape of the facial appearance and the internal data of the oral cavity;

and determining an adjustable adjusting interval of the actual shape of the face appearance according to the three-dimensional model representing the face appearance.

8. The method of claim 7, wherein the intraoral data representative of teeth comprises at least one of: anterior tooth image data, left tooth image data, right tooth image data, lower occlusion region image data, and upper occlusion region image data.

9. The method of claim 5, wherein the step of generating the orthodontic plan based on the actual form represented by the base image data and the target form represented by the target image data comprises:

determining a corrective measure for teeth that adjusts the actual configuration to the target configuration based on a difference between the base image data and the target image data;

generating an orthodontic plan including the orthodontic treatment.

10. The method of claim 1, wherein the corrective program comprises an orthodontic program, comprising, prior to the step of determining corrective measures based on the base image data and the target image data:

and determining the tooth actual condition category of the basic image data on different tooth condition judgment dimensions.

11. The method of claim 10, wherein the dental condition determination dimension comprises at least one of:

the closeness of the dentition; wherein the dentition closeness comprises dentition crowding or dentition sparsity;

or, a type of deformity of the tooth; wherein the malformation category of the tooth includes one of: the method comprises the following steps of (1) anti-jaw, deep covering, jaw relieving and jaw opening;

or, the tooth centerlines are not aligned;

or, a caries condition; wherein the carious condition comprises the presence or absence of caries in the tooth;

or, gingival conditions; wherein the gingival condition comprises one of: the gum atrophy is serious, the gum is slightly atrophic, and the gum is healthy.

12. The method of claim 10, wherein determining corrective measures based on the base image data and the target image data comprises:

generating a corrective measure for adjusting the actual form to the target form according to the tooth actual condition category and the target image data; wherein the corrective measures include different corrective dimensions.

13. The method of claim 12, wherein the corrective dimension comprises at least one of:

tooth extraction dimension; wherein the tooth extraction dimension comprises one of: tooth extraction is needed, tooth extraction is not needed, and whether tooth extraction is needed or not is uncertain;

a bone screw dimension, wherein the bone screw dimension comprises one of: the need to beat bone nail, do not need to beat bone nail, uncertain need to beat bone nail;

adjusting a required dimension, wherein the adjusting required dimension comprises at least one of: the teeth are tidy, smile line adjustment, occlusion adjustment and human-in-human adjustment are carried out;

an appliance selection dimension, wherein the appliance selection dimension comprises one of: traditional metal appliance, semi-invisible appliance, lingual appliance, invisible appliance.

14. The method of claim 1, wherein the step of generating a corrective program including the corrective measure further comprises at least one of:

recommending a suitable doctor; wherein the physician includes at least one of: a senior specialist, a primary and a secondary primary physicians;

or, recommend an appropriate follow-up service; wherein the subsequent service includes at least one of: re-customizing the correction scheme under the condition of not consuming resources, and replacing doctors under the condition of not consuming resources;

or, selection of a hospital;

or, selection of resource consumption patterns.

15. The method of claim 1, after the step of generating a corrective program including the corrective measure, comprising:

and generating the estimated resource consumption of the correction scheme.

16. The method of claim 15, further comprising, after the step of generating a corrective program including the corrective measure:

sending the correction scheme to a client;

acquiring a result of the client after adjusting the correction measures in different dimensions as an autonomous customized correction scheme;

accordingly, a pre-estimated resource consumption of the self-customized corrective program is generated.

17. A method for displaying a corrective program, comprising:

acquiring base image data representing an actual shape of a body part;

providing a form adjustment interface; the form adjusting interface dynamically displays the adjusting condition of the actual form according to the input of a user to obtain a target form; the image data corresponding to the target form is target image data;

displaying a corrective program for adjusting the body part from the actual form to the target form; wherein the correction plan includes one or more correction terms of different dimensions; wherein the correction item corresponds to a corrective measure.

18. The method of claim 17, wherein the step of acquiring base image data representing the actual morphology of the body part further comprises:

providing an input requirement description of the base image data and/or an example picture of the base image data.

19. The method of claim 17, wherein the step of providing a morphology adjustment interface comprises:

acquiring an adjusting range of the server capable of adjusting the actual form;

and providing a body part selection control and an adjustment amplitude set according to the adjustment range on the form adjustment interface.

20. The method of claim 19, wherein the orthodontic plan comprises a dental orthodontic plan, and the step of providing a morphology adjustment interface comprises:

acquiring an adjustable adjusting range of basic image data representing the actual form of the body part by a server; wherein the adjustment range includes at least one of: the adjustment range of the mandible, the adjustment range of the mouth and the adjustment range of the jaw;

and providing the body part selection control and the adjustment amplitude corresponding to the body part on the form adjustment interface.

21. The method of claim 20, further comprising:

displaying in a first display mode when the body part selection control is triggered; displaying using a second display mode under the condition that the body part selection control is not triggered; wherein the first display mode and the second display mode are different.

22. The method of claim 17, wherein the orthodontic protocol comprises an orthodontic protocol, the method further comprising:

displaying actual tooth condition categories in different tooth condition judgment dimensions; wherein the dental condition category further comprises a description of the dental actual condition and/or an example picture corresponding to the dental actual condition.

23. The method of claim 17, after the step of presenting a corrective program for adjusting the body part from the actual form to the target form, comprising:

obtaining the result of the client after adjusting the correction scheme as an autonomous customized correction scheme;

generating estimated resource consumption of the self-customized correction scheme;

and displaying the estimated resource consumption in the client.

24. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the method of claims 1 to 23 when executing the computer program.