Orthodontic micro-power system operation control method and system

Abstract

This invention discloses an operation control method and system for a micro-powered orthodontic system, belonging to the field of orthodontic technology. The method includes: Step 1: Connecting to an imaging device to acquire the patient's oral X-rays and generating an oral model based on the X-rays; Step 2: Marking each tooth to be adjusted in the oral model; determining the desired adjustment model based on the oral model; Step 3: Setting the target adjustment method based on the desired adjustment model and generating a guidance video based on the target adjustment method; Step 4: Acquiring the patient's oral image and performing real-time positioning and recognition based on the patient's oral image and the oral model; Step 5: Extracting the corresponding guidance demonstration video from the guidance video based on the tooth positioning; showing the guidance demonstration video to the doctor; Step 6: Controlling the parameters of the micro-powered orthodontic system according to the target adjustment method and tooth positioning. This invention not only improves the accuracy and efficiency of orthodontic treatment but also realizes the personalization and visualization of treatment plans.

Description

Technical Field

[0001] This invention belongs to the field of orthodontic technology, specifically a method and system for operating and controlling a micro-powered orthodontic system. Background Technology

[0002] In the field of orthodontics, with the rapid development of medical imaging technology and computer-aided design / manufacturing (CAD / CAM) technology, traditional manual orthodontic methods are gradually transforming into digital and precise methods. Traditional orthodontic procedures often rely on the doctor's experience and judgment, making it difficult to achieve accurate quantitative analysis of the patient's oral condition, and resulting in long treatment cycles and poor predictability of outcomes. Therefore, developing an operation and control system for a micro-powered orthodontic system is particularly important.

[0003] However, although current orthodontic micro-power systems on the market have made some progress in terms of power output and tool drive, they still have certain problems in application, such as data silos and reliance on doctors' professional experience; therefore, current orthodontic micro-power systems still have room for improvement.

[0004] Based on this, in order to realize the intelligent control of the orthodontic micro-power system, the present invention provides an operation control method and system for the orthodontic micro-power system. Summary of the Invention

[0005] To address the problems of the above solutions, this invention provides a method and system for operating and controlling a micro-powered system for orthodontics.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A method for operating and controlling a micro-powered system for orthodontic treatment, the method comprising:

[0008] Step 1: Connect to the imaging device to acquire the patient's oral X-ray, and generate an oral model based on the oral X-ray;

[0009] Step 2: Mark each tooth to be adjusted in the oral model; determine the desired adjustment model based on the oral model;

[0010] Furthermore, the methods for marking the teeth to be adjusted include:

[0011] The oral model is shown to the doctor, who then marks the teeth to be adjusted on the model according to orthodontic principles.

[0012] Furthermore, the methods for marking the teeth to be adjusted include:

[0013] Define a tooth alignment standard, and obtain reference images based on the tooth alignment standard. The reference images include oral radiographs that meet the tooth alignment standard and oral radiographs that do not meet the tooth alignment standard. Mark the corresponding teeth that do not meet the tooth alignment standard in the oral radiographs that do not meet the tooth alignment standard.

[0014] A dental assessment model is established based on reference images and dental alignment standards. The expression for the dental assessment model is as follows:

[0015] ;

[0016] In the formula: s is the input data, which is the oral radiograph; s: yi represents the corresponding tooth in the oral radiograph, i=1, 2, ..., n, where n is a positive integer; the output data is the tooth evaluation set YP(s), which consists of the tooth evaluation value corresponding to each tooth.

[0017] Obtain oral radiographs, analyze the oral radiographs using the aforementioned dental assessment model, and obtain a dental assessment set;

[0018] Based on the tooth assessment set, teeth that do not meet the tooth alignment requirements are identified and marked as teeth to be adjusted.

[0019] Furthermore, the method for determining the desired adjustment model based on the oral cavity model is as follows:

[0020] Step SA1: Identify each tooth to be adjusted in the oral model;

[0021] If there are no teeth to be adjusted in the oral model, proceed to step SA4;

[0022] Step SA2: Perform adjustment simulation on the teeth to be adjusted, and evaluate them in real time through the tooth assessment model during the adjustment simulation to obtain the tooth assessment set corresponding to each simulation adjustment;

[0023] Step SA3: Determine whether to eliminate the tooth to be treated based on the tooth assessment set;

[0024] When it is determined that the tooth to be adjusted should be eliminated, an initial adjustment method for the tooth to be adjusted is formed, and the mark of the tooth to be adjusted in the oral model is removed, and the process returns to step SA1;

[0025] If the tooth to be treated is not eliminated, return to step SA2;

[0026] Step SA4: Integrate the initial adjustment methods corresponding to each of the teeth to be adjusted to form a selection of adjustment methods;

[0027] Step SA5: Perform iterative analysis on steps SA1 to SA4 until no new alternative adjustment methods are available, and obtain each alternative adjustment method.

[0028] Step SA6: Evaluate each candidate adjustment method, determine the target adjustment method, and form the desired adjustment model based on the target adjustment method and the oral cavity model.

[0029] Furthermore, the method for evaluating each candidate adjustment method in step SA6 includes:

[0030] Evaluate each of the candidate adjustment methods to obtain the corresponding implementation value and experience value;

[0031] The obtained implementation values ​​and experience values ​​are labeled as SL and TL, respectively;

[0032] Calculate the corresponding candidate values ​​according to the formula PA=b1×TL-b2×SL;

[0033] In the formula: PA is the candidate value; b1 and b2 are both proportionality coefficients, with a value range of 0. <b1≤1,0<b2≤1;

[0034] Select the adjustment method with the highest candidate value as the target adjustment method.

[0035] Step 3: Based on the desired adjustment model, set the target adjustment method, and generate a guidance video according to the target adjustment method;

[0036] Furthermore, the methods for setting the target adjustment method include:

[0037] Based on the desired adjustment model and oral model, adjustment simulations were conducted to determine the various alternative adjustment methods;

[0038] Evaluate all candidate adjustment methods and determine the target adjustment method;

[0039] If no alternative adjustment method is obtained after adjustment simulation, an adjustment warning will be issued.

[0040] Step 4: Acquire patient's oral cavity images and perform real-time localization and recognition based on the patient's oral cavity images and oral cavity model;

[0041] Step 5: Based on the tooth positioning, extract the corresponding instructional demonstration video from the instructional video; show the instructional demonstration video to the doctor;

[0042] Step Six: Control the parameters of the orthodontic micro-power system according to the target adjustment method and tooth positioning.

[0043] Furthermore, in step six, the target adjustment method is dynamically adjusted based on the teeth adjustment process.

[0044] Furthermore, methods for dynamically adjusting the target adjustment method include:

[0045] Real-time acquisition of tooth adjustment data; identification of each tooth corresponding to the tooth adjustment data and marking it as an adjustment record tooth; determination of the adjustment result for each adjustment record tooth based on the tooth adjustment data; and corresponding adjustments to the oral cavity model based on the tooth adjustment data and the adjustment results of each adjustment record tooth to obtain an oral cavity process model.

[0046] The target adjustment method is segmented according to each recorded adjustment tooth to obtain the unit adjustment method and unit adjustment result corresponding to each recorded adjustment tooth;

[0047] The results of adjustments to each unit are evaluated using an oral process model to determine whether further optimization is needed.

[0048] When it is determined that no optimization or adjustment is needed, the target adjustment method will not be adjusted;

[0049] When it is determined that optimization and adjustment are needed, the target adjustment method is adjusted based on the oral process model, the expected adjustment model, the unit adjustment method, and the tooth adjustment data.

[0050] An operation and control system for a micro-powered orthodontic system includes a data transmission module, an analysis module, and a control module;

[0051] The data transmission module is used to connect to the imaging device, acquire the patient's oral X-ray, and generate an oral model based on the oral X-ray.

[0052] The analysis module is used to mark each tooth to be adjusted in the oral model; determine the desired adjustment model based on the oral model; set the target adjustment method based on the desired adjustment model; and generate a guidance video based on the target adjustment method.

[0053] The control module is used for adjustment control, acquiring patient oral images, performing real-time positioning and recognition based on patient oral images and oral models, extracting corresponding instructional demonstration videos from instructional videos based on tooth positioning, displaying the instructional demonstration videos to doctors, and controlling the parameters of the orthodontic micro-power system according to the target adjustment method and tooth positioning.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] The orthodontic micro-power system operation and control system of the present invention integrates advanced technologies such as image processing, three-dimensional modeling, intelligent planning and precise control, which not only improves the accuracy and efficiency of orthodontic treatment, but also realizes the personalization and visualization of treatment plans. Based on the difference between the desired tooth model and the original oral model, the system automatically calculates the precise control method for each tooth that needs to be adjusted, ensuring the accuracy and efficiency of the treatment process; at the same time, it evaluates and optimizes the target adjustment method in real time based on the dynamic analysis results. Attached Figure Description

[0056] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0057] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0058] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0059] like Figure 1 As shown, a method for operating and controlling a micro-powered system for orthodontic treatment includes:

[0060] Step 1: Connect to the imaging device to acquire the patient's oral X-rays and generate an oral model based on the X-rays;

[0061] Imaging equipment refers to devices used to take X-rays of the oral cavity and teeth, such as common dental X-ray machines, panoramic machines, and CBCT; oral X-rays can be acquired on computer devices through communication connections and other means.

[0062] Existing modeling techniques can be used to generate corresponding 3D models based on cavity imaging; alternatively, simulation techniques can be used to create simulation models. The specific model generation method and equipment can be set according to actual needs.

[0063] In one embodiment, if the imaging device cannot be connected, oral X-rays can be imported manually.

[0064] Step 2: Mark the teeth that need orthodontic adjustment in the oral model, and label them as teeth to be adjusted; determine the desired adjustment model based on the current oral model;

[0065] In one embodiment, the marking of the teeth to be adjusted is made directly by the dentist in a dental model based on their own experience.

[0066] In one embodiment, the marking of the teeth to be adjusted is performed using the following method:

[0067] Define tooth alignment standards, i.e., under what conditions is tooth alignment considered normal and under what conditions is it considered abnormal and requires orthodontic adjustment; acquire a large number of reference images based on the tooth alignment standards, i.e., historical oral radiographs corresponding to the normal and abnormal tooth alignment states determined by the standards; build a tooth assessment model based on these reference images and the tooth alignment standards. This model is used to evaluate and analyze each tooth in the oral radiographs to determine whether it meets the tooth alignment standards. Specifically, it is trained using a training set based on the reference images and the tooth alignment standards to subsequently determine whether each tooth in the oral radiographs conforms to the standards; the expression for the tooth assessment model is: In the formula: s is the input data, which is the oral radiograph; s: yi represents the corresponding tooth in the oral radiograph, i=1, 2, ..., n, where n is a positive integer; the output data is the tooth evaluation set YP(s), which consists of the tooth evaluation values ​​corresponding to each tooth.

[0068] By analyzing oral radiographs using a dental assessment model, a dental assessment set is obtained. Based on the dental assessment set, teeth that do not meet the requirements for tooth alignment are identified and marked as teeth to be adjusted.

[0069] The expected adjustment model is a model of the alignment effect that a patient's teeth are expected to achieve after orthodontic treatment.

[0070] In one embodiment, the desired adjustment model is determined based on the current oral model. The dentist then directly adjusts each tooth in the oral model based on their experience to form the desired adjustment model. This embodiment is primarily suitable for dentists with extensive experience in orthodontics.

[0071] In one embodiment, the method for determining the desired model adjustment based on the current oral cavity model is as follows:

[0072] Step SA1: Identify the teeth to be treated in the oral model;

[0073] If there are no teeth to be adjusted, proceed to step SA4;

[0074] Step SA2: Perform adjustment simulation on the teeth to be adjusted, that is, adjust each tooth to be adjusted according to the conventional possible adjustment methods; and perform real-time evaluation through the tooth assessment model during the adjustment simulation to obtain the tooth assessment set corresponding to each simulated adjustment;

[0075] Step SA3: Determine whether to eliminate the tooth to be treated based on the tooth assessment set;

[0076] When the corresponding tooth to be adjusted is eliminated, the initial adjustment method of the tooth to be adjusted is formed according to the simulation adjustment process, the mark of the tooth to be adjusted in the oral model is removed, and the process returns to step SA1;

[0077] If the corresponding tooth to be treated is not eliminated, return to step SA2;

[0078] Step SA4: Integrate the initial adjustment methods corresponding to each tooth to be adjusted to form a candidate adjustment method; because when a tooth to be adjusted is eliminated through the initial adjustment method, it may become a tooth to be adjusted when other teeth to be adjusted are adjusted in the future. Therefore, it is necessary to adjust and eliminate in a cyclical manner until there are no more teeth to be adjusted. At this time, the initial adjustment methods are integrated and analyzed to form an overall adjustment method, which is marked as a candidate adjustment method.

[0079] Step SA5: Perform cyclic analysis on steps SA1 to SA4 until no new alternative adjustment methods are available. Generally, the analysis is performed according to the preset number of cycles, and then the analysis ends; obtain each alternative adjustment method.

[0080] Step SA6: Evaluate each candidate adjustment method, determine the target adjustment method, and adjust the oral model according to the target adjustment method to form the desired adjustment model.

[0081] In one embodiment, the evaluation of each candidate adjustment method can be based on existing technology, and the candidate evaluation method with the highest priority can be determined as the target adjustment method.

[0082] In one embodiment, the method for evaluating each candidate adjustment method includes:

[0083] The process involves identifying each step in the candidate adjustment methods, analyzing each step to determine its implementation difficulty and patient experience. Since the difficulty and patient experience vary significantly between different steps, historical orthodontic data can be used to evaluate the corresponding implementation and experience values. Experience values ​​are set based on duration and pain levels; implementation values ​​are set based on implementation difficulty, using a percentage scale with minimum and maximum values ​​at the two endpoints. Further adjustments to implementation or experience values ​​are made based on these differences. Specifically, a corresponding adjustment evaluation model can be built using neural networks such as CNNs or DNNs. A training set is manually created and used for training. The training set includes input and output data: historical adjustment methods as input and implementation and experience values ​​based on historical adjustment results as output. The successfully trained adjustment evaluation model is then used to analyze each candidate adjustment method to obtain the corresponding implementation and experience values.

[0084] The obtained implementation values ​​and experience values ​​are labeled as SL and TL, respectively;

[0085] Calculate the corresponding candidate values ​​according to the formula PA=b1×TL-b2×SL;

[0086] In the formula: PA is the candidate value; b1 and b2 are both proportionality coefficients, with a value range of 0. <b1≤1,0<b2≤1;

[0087] Select the adjustment method with the highest candidate value as the target adjustment method.

[0088] Step 3: Based on the desired adjustment model, determine the target adjustment method, and generate a guidance video based on the target adjustment method;

[0089] In one embodiment, if it is desired that the adjustment model is intelligently generated, then the corresponding target adjustment method is obtained simultaneously.

[0090] In one embodiment, if the desired adjustment model is set by the physician, the method for determining the target adjustment method includes:

[0091] Adjustment simulation is performed based on the desired adjustment model and the oral cavity model. The simulation has various adjustment methods that can be adjusted from the oral cavity model to the desired adjustment model, which are marked as candidate adjustment methods. Simulation can be performed under normal adjustment methods based on the simulation methods of the above embodiments to determine each candidate adjustment method.

[0092] Each candidate adjustment method is evaluated to determine the target adjustment method; the evaluation and screening can be carried out according to the evaluation method in the above embodiments.

[0093] If no alternative adjustment method is obtained after simulation, an adjustment warning will be issued; the doctor's expected adjustment model is not reasonable or the doctor will determine the target adjustment method on their own, and subsequent operations are generally performed manually.

[0094] Step 4: Acquire patient's oral cavity image. Image acquisition equipment can be used to acquire images of the patient's oral cavity. Real-time positioning and recognition are performed based on the patient's oral cavity image and oral cavity model. That is, each tooth model in the oral cavity model is matched and positioned with the teeth in the patient's oral cavity one by one. This makes it easier to determine the position of each tooth in the oral cavity model based on the local tooth image in the patient's oral cavity during subsequent adjustments.

[0095] Step 5: Based on the tooth location, extract the corresponding tooth video from the guidance video and mark it as the guidance demonstration video; show the guidance demonstration video to the doctor;

[0096] Step Six: Control the parameters of the orthodontic micro-power system according to the target adjustment method and tooth positioning. That is, control the parameters according to the target adjustment method in the corresponding operation steps.

[0097] In one embodiment, because the actual situation may differ from the pre-analyzed situation due to various reasons during actual operation, the adaptability of certain steps in the target adjustment method decreases. At this time, it is necessary to adjust the target adjustment method according to the actual situation. Therefore, in this embodiment, the target adjustment method is dynamically adjusted according to the tooth adjustment process.

[0098] Methods for dynamically adjusting the target adjustment method include:

[0099] The process involves acquiring real-time tooth adjustment data, typically in the form of adjustment video data; identifying each tooth corresponding to the tooth adjustment data and marking them as adjustment recording teeth; determining the adjustment result of each adjustment recording tooth at the current time based on the tooth adjustment data, including the degree of adjustment, position, and other relevant data; and adjusting the oral cavity model accordingly based on the tooth adjustment data and the adjustment results of each adjustment recording tooth to obtain an oral cavity process model. In other words, it involves adjusting the corresponding parts of the oral cavity model based on the tooth adjustment data and the corresponding adjustment results to achieve the effect of simulating the current oral cavity state.

[0100] The target adjustment method is segmented according to each recorded adjustment tooth to obtain the target adjustment method and the corresponding result after adjustment for each recorded adjustment tooth, which are respectively labeled as unit adjustment method and unit adjustment result;

[0101] The results of adjustments to each unit are evaluated using an oral process model to determine whether further optimization is needed.

[0102] When it is determined that no optimization or adjustment is needed, the target adjustment method will not be adjusted;

[0103] When it is determined that optimization and adjustment are needed, the target adjustment method is adjusted based on the oral process model, the expected adjustment model, the unit adjustment method, and the tooth adjustment data.

[0104] First, the oral process model and the desired adjustment model are analyzed according to the above embodiments to identify various candidate adjustment methods. Then, by referring to the differences between the unit adjustment methods and the tooth adjustment data, the adjustment methods preferred by doctors are analyzed, and thus the updated target adjustment method is determined. Specifically, existing technologies can be used for intelligent analysis, such as building an intelligent model based on CNN or DNN networks. The intelligent model determines the target adjustment method based on the unit adjustment methods and the tooth adjustment data. In other embodiments, the adjustment with the highest similarity to the tooth adjustment data can also be selected.

[0105] Methods for evaluating the adjustment results of each unit using an oral process model include:

[0106] The adjustment results of each unit are verified by using the oral process model. The unit adjustment results are compared with the actual adjustment results in the oral process model to identify the corresponding result deviations. When the deviation exceeds the preset standard, it is determined that optimization adjustment is required; otherwise, it is determined that optimization adjustment is not required.

[0107] By integrating advanced technologies such as image processing, 3D modeling, intelligent planning, and precise control, the system not only improves the accuracy and efficiency of orthodontic treatment but also enables personalized and visualized treatment plans. Based on the differences between the desired tooth model and the original oral model, the system automatically calculates the precise control method for each tooth that needs adjustment, ensuring the accuracy and efficiency of the treatment process. At the same time, the system evaluates and optimizes the target adjustment method in real time based on the dynamic analysis results.

[0108] An operation and control system for a micro-powered orthodontic system includes a data transmission module, an analysis module, and a control module;

[0109] The data transmission module is used to interface with imaging equipment to acquire the patient's oral X-rays and generate an oral model based on the X-rays.

[0110] The analysis module is used to mark each tooth to be adjusted in the oral model; determine the desired adjustment model based on the oral model; set the target adjustment method based on the desired adjustment model; and generate a guidance video based on the target adjustment method.

[0111] Methods for marking teeth to be treated include:

[0112] Define a tooth alignment standard, obtain reference images based on the tooth alignment standard, and the reference images include oral radiographs that meet the tooth alignment standard and oral radiographs that do not meet the tooth alignment standard; and mark the corresponding teeth that do not meet the tooth alignment standard in the oral radiographs that do not meet the tooth alignment standard.

[0113] A dental assessment model is established based on reference images and dental alignment standards. The expression for the dental assessment model is as follows:

[0114] ;

[0115] In the formula: s is the input data, which is the oral radiograph; s: yi represents the corresponding tooth in the oral radiograph, i=1, 2, ..., n, where n is a positive integer; the output data is the tooth evaluation set YP(s), which consists of the tooth evaluation value corresponding to each tooth.

[0116] Obtain oral X-rays, analyze the oral X-rays using a dental assessment model, and obtain a dental assessment set;

[0117] Based on the tooth assessment set, teeth that do not meet the tooth alignment requirements are identified and marked as teeth to be adjusted.

[0118] The method for determining the desired adjustment model based on the oral cavity model is as follows:

[0119] Step SA1: Identify each tooth to be adjusted in the oral model;

[0120] If there are no teeth to be adjusted in the oral model, proceed to step SA4;

[0121] Step SA2: Perform adjustment simulation on the teeth to be adjusted, and evaluate them in real time through the tooth assessment model during the adjustment simulation to obtain the tooth assessment set corresponding to each simulation adjustment;

[0122] Step SA3: Determine whether to eliminate the tooth to be treated based on the tooth assessment set;

[0123] When it is determined that the tooth to be adjusted should be eliminated, an initial adjustment method for the tooth to be adjusted is formed, and the mark of the tooth to be adjusted in the oral model is removed, and the process returns to step SA1;

[0124] If the tooth to be treated is not eliminated, return to step SA2;

[0125] Step SA4: Integrate the initial adjustment methods corresponding to each of the teeth to be adjusted to form a selection of adjustment methods;

[0126] Step SA5: Perform iterative analysis on steps SA1 to SA4 until no new alternative adjustment methods are available, and obtain each alternative adjustment method.

[0127] Step SA6: Evaluate each candidate adjustment method to obtain the corresponding implementation value and experience value;

[0128] The obtained implementation values ​​and experience values ​​are labeled as SL and TL, respectively;

[0129] Calculate the corresponding candidate values ​​according to the formula PA=b1×TL-b2×SL;

[0130] In the formula: PA is the candidate value; b1 and b2 are both proportionality coefficients, with a value range of 0. <b1≤1,0<b2≤1;

[0131] The candidate adjustment method with the highest candidate value is selected as the target adjustment method, and the desired adjustment model is formed based on the target adjustment method and the oral cavity model.

[0132] The control module is used for adjustment control, acquiring patient oral images, performing real-time positioning and recognition based on patient oral images and oral models, extracting corresponding instructional demonstration videos from instructional videos based on tooth positioning, displaying the instructional demonstration videos to doctors, and controlling the parameters of the orthodontic micro-power system according to the target adjustment method and tooth positioning.

[0133] The target adjustment method is dynamically adjusted based on the teeth adjustment process.

[0134] Methods for dynamically adjusting the target adjustment method include:

[0135] Real-time acquisition of tooth adjustment data; identification of each tooth corresponding to the tooth adjustment data and marking it as an adjustment record tooth; determination of the adjustment result for each adjustment record tooth based on the tooth adjustment data; and corresponding adjustments to the oral cavity model based on the tooth adjustment data and the adjustment results of each adjustment record tooth to obtain an oral cavity process model.

[0136] The target adjustment method is segmented according to each recorded adjustment tooth to obtain the unit adjustment method and unit adjustment result corresponding to each recorded adjustment tooth;

[0137] The results of adjustments to each unit are evaluated using an oral process model to determine whether further optimization is needed.

[0138] When it is determined that no optimization or adjustment is needed, the target adjustment method will not be adjusted;

[0139] When it is determined that optimization and adjustment are needed, the target adjustment method is adjusted based on the oral process model, the expected adjustment model, the unit adjustment method, and the tooth adjustment data.

[0140] The above formulas are all numerical calculations after removing dimensions. The formulas are obtained by software simulation based on a large amount of data and are closest to the real situation. The preset parameters and preset thresholds in the formulas are set by those skilled in the art according to the actual situation or obtained by simulation based on a large amount of data.

[0141] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, apparatus, article, or method. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, apparatus, article, or method that includes that element.

[0142] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

[0143] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0144] For ease of description, the above apparatus is described in terms of function, with each unit described separately. Of course, in implementing this application, the functions of each unit can be implemented in one or more software and / or hardware components. Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0145] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can 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, generate instructions for implementing the flowchart. Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0146] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 The function specified in one or more boxes.

[0147] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

Claims

1. A method for operating and controlling a micro-powered system for orthodontic treatment, characterized in that, The methods include: Step 1: Obtain oral X-rays of the patient and generate an oral model based on the X-rays; Step 2: Mark each tooth to be adjusted in the oral model; determine the desired adjustment model based on the oral model; Step 3: Based on the desired adjustment model, set the target adjustment method, and generate a guidance video according to the target adjustment method; Step 4: Acquire patient's oral cavity images and perform real-time localization and recognition based on the patient's oral cavity images and oral cavity model; Step 5: Based on the tooth positioning, extract the corresponding instructional demonstration video from the instructional video; show the instructional demonstration video to the doctor; Step Six: Control the parameters of the orthodontic micro-power system according to the target adjustment method and tooth positioning; Methods for marking teeth to be treated include: Define a tooth alignment standard, and obtain reference images based on the tooth alignment standard. The reference images include oral radiographs that meet the tooth alignment standard and oral radiographs that do not meet the tooth alignment standard. Mark the corresponding teeth that do not meet the tooth alignment standard in the oral radiographs that do not meet the tooth alignment standard. A dental assessment model is established based on reference images and dental alignment standards. The expression for the dental assessment model is as follows: ； In the formula: s is the input data, which is the oral radiograph; s: yi represents the corresponding tooth in the oral radiograph, i=1, 2, ..., n, where n is a positive integer; the output data is the tooth evaluation set YP(s), which consists of the tooth evaluation value corresponding to each tooth. Obtain oral radiographs, analyze the oral radiographs using the aforementioned dental assessment model, and obtain a dental assessment set; Based on the tooth assessment set, each tooth that does not meet the tooth alignment requirements is identified and marked as a tooth to be adjusted. The method for determining the desired adjustment model based on the oral cavity model is as follows: Step SA1: Identify each tooth to be adjusted in the oral model; If there are no teeth to be adjusted in the oral model, proceed to step SA4; Step SA2: Perform adjustment simulation on the teeth to be adjusted, and evaluate them in real time through the tooth assessment model during the adjustment simulation to obtain the tooth assessment set corresponding to each simulation adjustment; Step SA3: Determine whether to eliminate the tooth to be treated based on the tooth assessment set; When it is determined that the tooth to be adjusted should be eliminated, an initial adjustment method for the tooth to be adjusted is formed, and the mark of the tooth to be adjusted in the oral model is removed, and the process returns to step SA1; If the tooth to be treated is not eliminated, return to step SA2; Step SA4: Integrate the initial adjustment methods corresponding to each of the teeth to be adjusted to form a selection of adjustment methods; Step SA5: Perform iterative analysis on steps SA1 to SA4 until no new alternative adjustment methods are available, and obtain each alternative adjustment method. Step SA6: Evaluate each candidate adjustment method, determine the target adjustment method, and form the desired adjustment model based on the target adjustment method and the oral cavity model; In step six, the target adjustment method is dynamically adjusted based on the teeth adjustment process; Methods for dynamically adjusting the target adjustment method include: Real-time acquisition of tooth adjustment data; identification of each tooth corresponding to the tooth adjustment data and marking it as an adjustment record tooth; determination of the adjustment result of each adjustment record tooth based on the tooth adjustment data; and corresponding adjustments to the oral model based on the tooth adjustment data and the adjustment results of each adjustment record tooth to obtain an oral process model. The target adjustment method is segmented according to each recorded adjustment tooth to obtain the unit adjustment method and unit adjustment result corresponding to each recorded adjustment tooth; The results of adjustments to each unit are evaluated using an oral process model to determine whether further optimization is needed. When it is determined that no optimization or adjustment is needed, the target adjustment method will not be adjusted; When it is determined that optimization and adjustment are needed, the target adjustment method is adjusted based on the oral process model, the expected adjustment model, the unit adjustment method, and the tooth adjustment data.

2. The method for operating and controlling a micro-powered system for orthodontics according to claim 1, characterized in that, The methods for evaluating each candidate adjustment method in step SA6 include: Evaluate each of the candidate adjustment methods to obtain the corresponding implementation value and experience value; The obtained implementation values ​​and experience values ​​are labeled as SL and TL, respectively; Calculate the corresponding candidate values ​​according to the formula PA=b1×TL-b2×SL; In the formula: PA is the candidate value; b1 and b2 are both proportionality coefficients, with a value range of 0. <b1≤1,0<b2≤1; Select the adjustment method with the highest candidate value as the target adjustment method.

3. The method for operating and controlling a micro-powered system for orthodontics according to claim 1, characterized in that, The methods for setting the target adjustment method include: Based on the desired adjustment model and oral model, adjustment simulations were conducted to determine the various alternative adjustment methods; Evaluate all candidate adjustment methods and determine the target adjustment method; If no alternative adjustment method is obtained after adjustment simulation, an adjustment warning will be issued.

4. The method for operating and controlling a micro-powered system for orthodontics according to claim 1, characterized in that, Methods for obtaining oral X-rays include: Based on the image device information, establish a communication connection with the image device. When the image device generates an oral X-ray, the oral X-ray generated by the image device is acquired.

5. The method for operating and controlling a micro-powered system for orthodontics according to claim 1, characterized in that, Methods for marking teeth to be treated include: The oral model is shown to the doctor, who then marks the teeth to be adjusted on the model according to orthodontic principles.

6. An operation and control system for a micro-powered orthodontic system, characterized in that, An operation control method for an orthodontic micro-power system according to any one of claims 1 to 5, comprising a data transmission module, an analysis module, and a control module; The data transmission module is used to connect to the imaging device, acquire the patient's oral X-ray, and generate an oral model based on the oral X-ray. The analysis module is used to mark each tooth to be adjusted in the oral model; determine the desired adjustment model based on the oral model; set the target adjustment method based on the desired adjustment model; and generate a guidance video based on the target adjustment method. The control module is used for adjustment control, acquiring patient oral images, performing real-time positioning and recognition based on patient oral images and oral models, extracting corresponding instructional demonstration videos from instructional videos based on tooth positioning, displaying the instructional demonstration videos to doctors, and controlling the parameters of the orthodontic micro-power system according to the target adjustment method and tooth positioning.

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