False tooth modeling preparation method and system

Abstract

The invention discloses a false tooth modeling preparation method and system. The method comprises the following steps: generating an oral cavity model of a patient based on tooth image data, and identifying to-be-implanted teeth, normal teeth and abnormal teeth in the oral cavity model; searching a target standard oral cavity model matched with the patient based on the identification data of the normal teeth, the personal data of the patient and a standard oral cavity model library; based on first model difference data between a normal tooth model in the target standard oral cavity model and a normal tooth model of the oral cavity model, preliminarily optimizing an abnormal tooth model and a to-be-implanted tooth model in the target standard oral cavity model; and if second model difference data between the abnormal tooth model in the target standard oral cavity model after preliminary optimization and the abnormal tooth model of the oral cavity model is greater than a set threshold value, performing secondary optimization on the tooth model to be implanted after preliminary optimization, and constructing an implant tooth model. Therefore, the adaptability of the dental implant model is improved.

Description

Technical Field

[0001] The present application relates to the field of oral medicine technology, and in particular to a denture modeling and preparation method and system. Background Art

[0002] Dentures are commonly known as false teeth, and are usually divided into removable dentures, fixed dentures and dental implants. As for dental implants, there is a common method of "immediate extraction and implantation" in the dental field, that is, after the patient extracts the bad tooth, the pre-prepared standard model of the implant is directly implanted into the alveolar position of the patient's just extracted bad tooth.

[0003] Although the "immediate extraction and implantation" technology is simple and practical, it does not take into account that in most cases, patients do not come for treatment in the early stages of dental problems, and often receive treatment after a long delay. In this case, the causes of tooth damage are more complicated than before, which means that bad teeth (teeth that need to be extracted) may affect other healthy teeth. The longer this impact is delayed, the more serious it will be and the more irreversible it will be. The closer to the tooth to be extracted, the more serious the impact. Generally, the most seriously affected are the teeth that clash with it in the occlusal state. For example, if an incisor is broken due to a knock, but it is not treated for a long time, the other incisor that is in contact with this incisor will grow towards it, causing the other incisor to be too long, and the teeth on both sides of this incisor will also tend to tilt toward the broken incisor.

[0004] Therefore, the traditional 'extraction and implantation' dental implant program uses a standard model, which is only suitable for patients with good oral health. However, for patients with damaged original teeth, it is not a good match, making it difficult to effectively solve their oral problems after implant treatment. Summary of the invention

[0005] In view of this, an embodiment of the present application provides a denture modeling and preparation method and system, which aims to solve the problem of insufficient matching between the dental implant model and the patient's actual oral condition.

[0006] The technical solution of the embodiment of the present application is implemented as follows:

[0007] In a first aspect, an embodiment of the present application provides a denture modeling and preparation method, comprising:

[0008] Acquire dental image data in the patient's oral cavity and personal data of the patient, wherein the personal data includes at least one of the following: age data, gender data, and patient location data;

[0009] Based on the tooth image data, an oral model of the patient is generated, and the teeth to be extracted in the oral model are identified. 、 Normal and abnormal teeth;

[0010] Based on the identification data of the normal teeth, the personal data of the patient, and the standard oral model library, search for a target standard oral model that matches the patient; wherein, the number of normal teeth in the oral model is the same as the number of normal teeth in the target standard oral model;

[0011] Based on the first model difference data between the normal tooth models in the target standard oral model and the normal tooth models in the oral model, preliminarily optimize the abnormal tooth models in the target standard oral model and the dental implant models corresponding to the teeth to be extracted;

[0012] If the second model difference data between the abnormal tooth models in the preliminarily optimized target standard oral model and the abnormal tooth models in the oral model is greater than or equal to a set threshold, then perform secondary optimization on the dental implant models after preliminary optimization to construct dental implant models;

[0013] Based on the dental implant models, fabricate the dental implant models.

[0014] In some embodiments, the identification of the teeth to be extracted, normal teeth, and abnormal teeth in the oral model includes:

[0015] Identify the teeth to be extracted in the oral model;

[0016] Based on a trained neural network model, classify the other teeth in the target patient oral model except for the teeth to be extracted to determine the normal teeth and abnormal teeth among the other teeth;

[0017] Identify the normal teeth and the abnormal teeth.

[0018] In some embodiments, the generation of the patient's oral model based on the tooth image data includes:

[0019] If the tooth image data includes wisdom tooth image data, and the type of the teeth to be extracted of the patient is at least one of the following: central incisor, oblique incisor, or canine, then obtain an initial oral model and generate an indication message;

[0020] In response to the indication message, remove the wisdom tooth models from the initial oral model;

[0021] Adjust the initial oral model after removing the wisdom tooth models to generate the oral model.

[0022] In some embodiments, the adjustment of the initial oral model after removing the wisdom tooth models includes:

[0023] Correct the orientation data of the teeth to be adjusted in the initial oral model after the wisdom tooth model is removed, wherein the teeth to be adjusted are adjacent teeth squeezed by the wisdom teeth.

[0024] In some embodiments, searching for a target standard oral model matching the patient based on the identification data of the normal teeth, the personal data of the patient, and a standard oral model library includes:

[0025] Screening the standard oral model library based on the patient's personal data to determine an initial oral model library;

[0026] The target standard oral cavity model is searched based on the identification data of the normal teeth and the initial oral cavity model library.

[0027] In some embodiments, the method further comprises:

[0028] If the second model difference data between the abnormal tooth model in the target standard oral model after preliminary optimization and the abnormal tooth model of the oral model is less than the set threshold, a dental implant model is constructed based on the tooth model to be implanted in the target standard oral model after preliminary optimization.

[0029] In some embodiments, the abnormal tooth includes a positively interfering tooth that interferes with the tooth to be extracted in the height direction when the mouth is closed, and the secondary optimization of the initially optimized model of the tooth to be implanted to construct the implant model includes:

[0030] Acquire tooth height difference data of the positive conflicting tooth model in the second model difference data;

[0031] Based on the tooth height difference data, adjusting the tooth height of the initially optimized tooth model to be implanted, so as to perform secondary optimization on the initially optimized tooth model to be implanted in the target standard oral model;

[0032] Based on the second optimized tooth model to be implanted, the implant model is constructed.

[0033] In some embodiments, the abnormal tooth includes a positively interfering tooth that interferes with the tooth to be extracted in the height direction when the mouth is closed, and the secondary optimization of the initially optimized model of the tooth to be implanted to construct the implant model includes:

[0034] Acquire the difference data of the contact surface morphology of the positive contact tooth model in the second model difference data;

[0035] Based on the morphological difference data of the abutment surface, adjust the curvature of the abutment surface of the initially optimized dental implant model to perform secondary optimization on the dental implant model in the initially optimized target standard oral model;

[0036] Based on the dental implant model after secondary optimization, construct the dental implant model.

[0037] In some embodiments, the abnormal tooth includes a side abutment tooth that abuts against the tooth to be extracted in the horizontal direction. Secondary optimization of the initially optimized dental implant model and construction of the dental implant model include:

[0038] Obtain the crown morphological difference data of the side abutment tooth model in the second model difference data;

[0039] Based on the crown morphological difference data, adjust the crown width and crown contour morphological data of the initially optimized dental implant model to perform secondary optimization on the dental implant model in the initially optimized target standard oral model;

[0040] Based on the dental implant model after secondary optimization, construct the dental implant model.

[0041] In a second aspect, an embodiment of the present application provides a denture modeling and preparation system, the system includes an image acquisition module and an electronic device; wherein, the image acquisition module is used to acquire and send the tooth image data of the patient; the electronic device includes: a processor and a memory for storing a computer program that can run on the processor, wherein, when the processor runs the computer program, it executes the steps of the method described in the first aspect above.

[0042] The technical solution provided by the embodiment of the present application, a denture modeling and preparation method, includes: obtaining the tooth image data in the patient's oral cavity and the patient's personal data, the personal data includes at least one of the following: age data, gender data, and the data of the patient's location area; based on the tooth image data, generate the patient's oral model and identify the tooth to be extracted in the oral model 、Normal teeth and abnormal teeth; based on the identification data of normal teeth, the personal data of the patient, and the standard oral model library, search for the target standard oral model that matches the patient; wherein, the number of normal teeth in the oral model is the same as the number of normal teeth in the target standard oral model; based on the first model difference data between the normal tooth model in the target standard oral model and the normal tooth model in the oral model, preliminarily optimize the abnormal tooth model in the target standard oral model and the dental implant model corresponding to the teeth to be extracted; if the second model difference data between the abnormal tooth model in the preliminarily optimized target standard oral model and the abnormal tooth model in the oral model is greater than or equal to the set threshold, then perform secondary optimization on the preliminarily optimized dental implant model to construct a dental implant model; based on the dental implant model, prepare the dental implant model.

[0043] In this way, in the embodiment of the present application, after the first model error between the normal tooth model of the patient's normal teeth in the oral model and the tooth model in the standard oral model is used to preliminarily optimize the dental implant model in the target standard oral model, the dental implant model is further improved through secondary optimization, and the finally generated dental implant model highly matches the patient's current tooth structure. This method effectively solves the problem of poor adaptability of dental implants in traditional modeling methods, ensures that dental implants can better adapt to the actual situation of the patient's oral cavity, especially in the case where bad teeth affect other teeth. At the same time, by improving the adaptability of the dental implant model, it promotes the recovery of the patient's oral function, provides a more personalized and comfortable dental implant solution, and significantly improves the patient's treatment experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic flowchart of a denture modeling and preparation method provided by an embodiment of the present application;

[0045] Figure 2 It is a schematic flowchart of a denture modeling and preparation method provided by an application example of the present application;

[0046] Figure 3 It is a schematic structural diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] The present application will be further described in detail below with reference to the accompanying drawings and embodiments.

[0048] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs. The terms used in the specification of this application herein are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0049] An embodiment of the present application provides a denture modeling and preparation method, asFigure 1 As shown in Figure 1 , the method includes the following steps:

[0050] Step 110: Obtain the dental image data of the patient's oral cavity and the patient's personal data, where the personal data includes at least one of the following: age data, gender data, and the data of the region where the patient is located.

[0051] In this embodiment, the dental image data sent by the image acquisition device can be obtained. The image acquisition device includes, but is not limited to, an intraoral scanner or a three-dimensional photography device, which are used to acquire dental images of multiple angles in the patient's oral cavity.

[0052] In this embodiment, the patient's personal data can be extracted from the patient's medical record system, including, but not limited to, age, gender, and the region where the patient is located (this information helps to analyze the impact of regional eating habits on tooth morphology).

[0053] Step 120: Based on the dental image data, generate the patient's oral cavity model, and identify the teeth to be extracted, normal teeth, and abnormal teeth in the oral cavity model.

[0054] In this embodiment, based on the dental image data, the dental image data can be converted into a digital oral cavity model, thereby constructing the patient's oral cavity model. The patient's oral cavity model represents the geometric shape, position, and occlusion relationship of all teeth, and the patient's oral cavity model includes the dental models of all teeth.

[0055] It can be understood that the teeth in the patient's oral cavity are divided into: the teeth to be extracted of the patient, that is, bad teeth (these bad teeth need to be extracted and the teeth to be implanted are to be implanted), normal teeth that are affected by the bad teeth or are less affected, and abnormal teeth that are greatly affected.

[0056] Exemplarily, normal teeth should have symmetry, be neatly arranged, have a natural color, and have a shape that meets aesthetic standards. Their tooth form parameters, such as the width and height of the tooth crown, should be within a preset threshold, and there should be no significant position deviation between the teeth and adjacent teeth. Abnormal teeth are teeth with abnormal morphology or position due to the influence of bad teeth (such as the opposing tooth being too high or the lateral opposing tooth being inclined).

[0057] In this embodiment, before constructing the dental implant model, it is necessary to classify all the teeth in the oral cavity model and identify the teeth to be implanted, normal teeth, and abnormal teeth in the oral cavity model.

[0058] Step 130: Based on the identification data of the normal teeth, the patient's personal data, and the standard oral cavity model library, find the target standard oral cavity model that matches the patient; wherein, the number of normal teeth in the oral cavity model is the same as the number of normal teeth in the target standard oral cavity model.

[0059] In this embodiment, according to the identification data of the normal teeth in the oral model and the personal data of the patient (such as age data, gender data, data of the area where the patient is located, etc.), a target standard oral model matching the patient is searched from the standard oral model library.

[0060] In this embodiment, to ensure that the differences between the teeth at the same position in the oral model and the target standard oral model can be accurately compared subsequently, and then optimize the tooth implant model to be planted, it is necessary to ensure that the number of normal teeth in the two models is the same.

[0061] Step 140: Based on the first model difference data between the normal tooth model in the target standard oral model and the normal tooth model in the oral model, preliminarily optimize the abnormal tooth model in the target standard oral model and the tooth implant model corresponding to the tooth to be extracted.

[0062] In this embodiment, the target standard oral model in the standard oral model library and the patient's oral model cannot be exactly the same, and some differences between the two can also be understood as model errors.

[0063] In this embodiment, the model difference between the two can be obtained by comparing the normal tooth model of the normal teeth in the target standard oral model with the standard tooth model (the normal tooth model of the oral model) at the same position in the target standard oral model, generating the first model difference data, and based on this first model difference data, preliminarily optimizing the abnormal tooth model in the target standard oral model and the tooth implant model corresponding to the tooth to be extracted.

[0064] For example, we can extract the normal tooth model from the patient's oral model, such as the left canine and the right first molar, and then perform point-to-point comparison with the corresponding teeth in the target standard model to obtain the first model difference data, including the height difference ΔH, the width difference ΔW, and the tilt angle difference Δθ. Then, we map these difference data to the abnormal teeth in the target standard model and adjust the crown height and tilt angle proportionally. And according to the adjustment results of the abnormal teeth, synchronously modify the shape of the tooth to be implanted.

[0065] In this way, by corresponding the model error of the normal teeth and synchronously adjusting the tooth models at the same position of the "abnormal teeth" and "bad teeth" in the standard oral model, the tooth models adjusted at the same position can be closer to the model shape of this part of the patient's teeth without being affected by the bad teeth.

[0066] Step 150: If the second model difference data between the abnormal tooth model in the preliminarily optimized target standard oral model and the abnormal tooth model in the oral model is greater than or equal to the set threshold, then perform secondary optimization on the preliminarily optimized tooth implant model to construct an implant tooth model.

[0067] In this embodiment, under normal circumstances, the tooth model to be implanted after preliminary optimization will be infinitely close to the normal model shape without being affected by bad teeth. However, in reality, due to the influence of bad teeth, there will still be differences between the teeth model after preliminary optimization and the teeth model at the same position in the actually constructed oral model. This part of the difference can be considered as the influence brought by bad teeth.

[0068] Therefore, in the embodiment of the present application, the non-normal tooth model after preliminary optimization is compared with the actual non-normal tooth model of the patient to calculate the second model difference data. If the second model difference data exceeds the set threshold (for example, ΔH>0.5mm), it indicates that the model difference is significant. At this time, a secondary optimization process will be triggered, that is, the tooth model to be implanted in the target standard oral model after preliminary optimization will be secondarily optimized to construct an implant tooth model, and the implant tooth model is used to prepare the tooth to be implanted.

[0069] Step 160: Prepare an implant tooth model based on the implant tooth model.

[0070] In this way, in the embodiment of the present application, after the first model error between the normal tooth model of the patient's normal teeth in the oral model and the tooth model in the standard oral model is used to preliminarily optimize the tooth model to be implanted in the target standard oral model, the tooth model to be implanted is further improved through secondary optimization. Finally, an implant tooth model that precisely matches the patient's current tooth structure will be generated. This method effectively solves the problem of poor adaptability of implant teeth in traditional modeling methods, ensures that the implant teeth can better adapt to the actual situation of the patient's oral cavity, especially in the case where bad teeth affect other teeth. At the same time, by improving the adaptability of the implant tooth model, it promotes the recovery of the patient's oral function, provides a more personalized and comfortable implant tooth solution, and significantly improves the patient's treatment experience.

[0071] In some embodiments, identifying the teeth to be extracted, normal teeth, and non-normal teeth in the oral model includes:

[0072] Identifying the teeth to be extracted in the oral model;

[0073] Based on the trained neural network-like model, classify the other teeth in the oral model of the target patient except the teeth to be extracted to determine the normal teeth and non-normal teeth among the other teeth;

[0074] Identifying normal teeth and non-normal teeth.

[0075] In this embodiment, for the teeth to be extracted, the dentist can manually mark the position of the bad teeth (such as the fractured central incisor) in the model to identify the teeth to be extracted in the oral model.

[0076] For the identification of normal / abnormal teeth, first, based on a pre-trained neural network-like model, other teeth in the oral model of the target patient except the teeth to be implanted are classified into normal teeth and abnormal teeth, and the normal teeth and abnormal teeth among other teeth are determined; and the normal teeth and abnormal teeth are identified.

[0077] In this way, by using a specially trained neural network-like model, normal teeth and abnormal teeth can be accurately distinguished, facilitating the primary optimization and secondary optimization of the teeth to be implanted.

[0078] In some embodiments, based on dental image data, an oral model of the patient is generated, including:

[0079] If the dental image data includes wisdom tooth image data, and the type of teeth to be extracted of the patient is at least one of the following: central incisor, oblique incisor, or canine, then an initial oral model is obtained and indication information is generated;

[0080] In response to the indication information, the wisdom tooth model in the initial oral model is removed;

[0081] The initial oral model after removing the wisdom tooth model is adjusted to generate an oral model.

[0082] In this embodiment, if the patient's oral model contains wisdom teeth, and the teeth to be extracted are central incisors, oblique incisors, or canines, the standard oral model library in this embodiment does not consider this special situation of wisdom teeth, which will result in the number of normal teeth in the constructed oral model being more than the number of teeth in the oral model in the model library, thus resulting in the phenomenon that the target standard oral model cannot be matched.

[0083] Therefore, if the dental image data includes wisdom tooth image data, and the type of teeth to be implanted of the patient is at least one of the following: central incisor, oblique incisor, or canine, then an initial oral model is obtained and indication information is generated, and here the indication information can be manually issued by the doctor. In response to the indication information, the wisdom tooth model in the initial oral model is removed; to ensure that the target standard oral model can be successfully matched in the standard oral model library subsequently. At the same time, after removing the wisdom tooth model, the initial oral model after removing the wisdom tooth model can also be adjusted, and the adjusted new initial model is used as the oral model of the above patient.

[0084] In some embodiments, the adjustment of the initial oral model after removing the wisdom tooth model includes:

[0085] Correct the orientation data of the teeth to be adjusted in the initial oral model after removing the wisdom tooth model, and the teeth to be adjusted are the adjacent teeth squeezed by the wisdom teeth.

[0086] In this embodiment, adjusting the initial oral model after removing the wisdom tooth model may include correcting the orientation of the adjacent teeth squeezed by the wisdom tooth (for example, resetting the inclined second molar to a vertical position).

[0087] Exemplarily, in practical applications, when there is a wisdom tooth and the damaged tooth is a central incisor, a lateral incisor or a canine, the dentist will manually remove the wisdom tooth model from the constructed initial oral model and adjust the orientation of the teeth affected by the wisdom tooth (usually only the orientation changes and the tooth morphology remains normal), and then use the adjusted tooth model to perform the subsequent steps.

[0088] In some embodiments, based on the identification data of normal teeth, the personal data of the patient, and the standard oral model library, finding a target standard oral model that matches the patient includes:

[0089] Screening the standard oral model library based on the personal data of the patient to determine an initial oral model library;

[0090] Based on the identification data of normal teeth and the initial oral model library, finding the target standard oral model.

[0091] In this embodiment, in order to ensure a higher degree of fit between the standard oral model selected from the standard oral model library and the patient, it is necessary to perform a double screening on the standard model library.

[0092] Specifically, the first screening starts from the basic situation of the patient and performs a preliminary screening according to the personal data of the patient (age data, gender data, regional data) to generate a preliminary screening result, so as to screen out the standard oral models that meet the conditions (initial oral model library). Exemplarily, a preliminary screening can be performed according to the personal data of the patient (such as age ≥ 50 years old, gender female, and the region is a high-sugar diet area) to screen out the oral models that meet the typical characteristics of this group from the standard oral model library to form a candidate set, that is, the initial oral model library, which contains the standard oral models that meet the objective factors.

[0093] After the screening is completed, further screen out the most similar standard oral model (target standard oral model) from the preliminary screening results according to the identification data of the normal teeth used to construct the model.

[0094] Since it is considered that the abnormal teeth are not suitable as the selection benchmark for the target standard oral model because they have been affected, at this time, we only use the normal teeth as the screening criterion and find the target standard oral model in the initial oral model library according to the identification data of the normal teeth. In this way, the accuracy of the screening result and the matching degree with the patient can be improved.

[0095] In some embodiments, the method further includes:

[0096] If the second model difference data between the abnormal tooth model in the target standard oral model after preliminary optimization and the abnormal tooth model of the oral model is less than the set threshold, a dental implant model is constructed based on the tooth model to be implanted in the target standard oral model after preliminary optimization.

[0097] In this embodiment, if the second model difference data is less than the set threshold, it indicates that the model difference is small, and there is no need to perform secondary optimization on the model of the tooth to be implanted in the target standard oral model after the preliminary optimization. The dental implant model can be directly constructed based on the model of the tooth to be implanted in the target standard oral model after the preliminary optimization, that is, the model of the tooth to be implanted in the target standard oral model after the preliminary optimization can be used as the dental implant model.

[0098] In some embodiments, the abnormal teeth include positively interfering teeth that interfere with the teeth to be extracted in the height direction when the mouth is closed, and the model of the teeth to be implanted after preliminary optimization is secondary optimized to construct the implant model, including:

[0099] Acquire tooth height difference data of the positive conflicting tooth model in the second model difference data;

[0100] Based on the tooth height difference data, the tooth height of the tooth model to be implanted after the preliminary optimization is adjusted to perform secondary optimization on the tooth model to be implanted in the target standard oral model after the preliminary optimization;

[0101] Based on the model of the tooth to be implanted after secondary optimization, a dental implant model is constructed.

[0102] In this embodiment, abnormal teeth include positively interfering teeth that conflict with the teeth to be implanted (bad teeth) in the height direction. If the second model difference data is greater than the set threshold, it indicates that the model difference is large, and it is necessary to perform secondary optimization on the model of the teeth to be implanted in the target standard oral model after the preliminary optimization, and construct a dental implant model based on the model of the teeth to be implanted after the secondary optimization.

[0103] Specifically, the tooth height of the tooth model to be implanted after preliminary optimization can be adjusted based on the tooth height difference data, so as to perform secondary optimization on the tooth model to be implanted in the target standard oral model after preliminary optimization.

[0104] For example, the tooth height difference data includes the difference data with too high or too low self-height. Taking the case where the height of the interfering tooth is too high as an example, in this case, it is usually caused by the relatively low tooth height of the bad tooth (the tooth to be extracted) itself. Since the tooth height of the bad tooth itself is relatively low, it is easy for the interfering tooth to grow too high without the restraint of tooth interference. In this case, it is necessary to adjust the tooth height of the initially optimized tooth model to be implanted according to the tooth height difference data of the interfering tooth, that is, to reduce the height of the standard tooth model at the same position as the tooth, so as to enable the oral cavity to close healthily.

[0105] In some embodiments, the abnormal tooth includes a positive interfering tooth that interferes with the tooth to be extracted in the height direction in the oral closed state. The initially optimized tooth model to be implanted is secondarily optimized to construct an implant tooth model, including:

[0106] Obtain the interference surface shape difference data of the positive interfering tooth model in the second model difference data;

[0107] Based on the interference surface shape difference data, adjust the curvature of the interference surface of the initially optimized tooth model to be implanted to secondarily optimize the tooth model to be implanted in the initially optimized target standard oral model;

[0108] Based on the secondarily optimized tooth model to be implanted, construct an implant tooth model.

[0109] In this embodiment, the contact surface of the interfering tooth may become non-standard due to the lack of interference from healthy teeth.

[0110] Assume that the abnormal tooth includes a positive interfering tooth that interferes with the tooth to be extracted in the height direction. If the second model difference data exceeds the threshold, the model difference is large, and the initially optimized tooth model to be implanted needs to be secondarily optimized, and then an implant tooth model is constructed.

[0111] This embodiment can adjust the tooth model to be implanted according to the interference surface shape data of the positive interfering tooth in the first model difference data.

[0112] Taking the above-mentioned case where the height of the interfering tooth is too high as an example, since the tooth height of the bad tooth itself is relatively low, it is not only easy for the interfering tooth to grow too high without the restraint of tooth interference, but also the contact surface of the interfering tooth will become non-standard due to the lack of interference from healthy teeth. In this case, it is necessary to adjust the curvature of the interference surface of the initially optimized tooth model to be implanted according to the interference surface difference data of the positive interfering tooth to secondarily optimize the tooth model to be implanted in the initially optimized target standard oral model.

[0113] In some embodiments, the abnormal tooth includes a side interfering tooth that interferes with the tooth to be extracted in the horizontal direction. The initially optimized tooth model to be implanted is secondarily optimized to construct an implant tooth model, including:

[0114] Obtain the crown shape difference data of the side abutment teeth in the second model difference data;

[0115] Based on the crown shape difference data, adjust the crown width and crown contour shape data of the to-be-implanted tooth model after preliminary optimization, and perform secondary optimization on the to-be-implanted tooth model in the preliminary optimized target standard oral model;

[0116] Based on the to-be-implanted tooth model after secondary optimization, construct an implant tooth model.

[0117] In this embodiment, we utilize the crown shape difference data of the side abutment teeth in the second model difference data to perform secondary optimization on the to-be-implanted tooth model in the preliminary optimized target standard oral model, and finally construct an implant tooth model based on this optimization result.

[0118] Specifically, based on the crown shape difference data, the crown width and crown contour shape data of the to-be-implanted tooth model after preliminary optimization can be adjusted.

[0119] Exemplarily, the crown shape difference data includes the side abutment tooth width difference data. For example, a damaged tooth with long-term tooth loss will make the side abutment teeth too wide. At this time, the crown of the optimized to-be-implanted tooth model can be adjusted to be narrower, so that the overall shape of the crown can fit the abutment teeth on both sides thereof.

[0120] Next, a detailed description of the embodiments of the present application will be given in combination with an application example.

[0121] According to the defects of the existing implant tooth modeling logic, this application example designs a new implant tooth modeling preparation scheme, so that an implant tooth very close to the current overall tooth situation of the patient can be prepared.

[0122] Next, as Figure 2 shown, Figure 2 A flowchart of a denture modeling preparation method is used to illustrate the specific process of modeling and preparing an implant tooth model.

[0123] Step 201: Oral model construction.

[0124] Take a certain number of photos of the patient's teeth for constructing the patient's oral model. This step is the cornerstone of the entire modeling process and is crucial for the accuracy of subsequent analysis.

[0125] Step 202: Bad tooth identification and classification.

[0126] In this application example, identify the bad teeth in the patient's oral model and input the identification result into a trained recognition type neural network model.

[0127] This model can identify "normal teeth" less affected by bad teeth and "abnormal teeth" more affected. In practical applications, the identification of bad teeth can be done manually by a doctor or automatically with the help of a neural network.

[0128] In addition, when there are wisdom teeth in the oral model and they affect other teeth, special treatment is required. Since wisdom teeth may cause changes in the orientation of the central incisors, oblique incisors or canines, and the oral models in the standard model library usually do not consider the influence of wisdom teeth, this will result in the number of normal teeth in the constructed oral model being more than the number of teeth in the oral models in the model library. The number of teeth is also an important matching indicator in step 203 below, which will cause the phenomenon that no standard oral model can be matched in step 203.

[0129] Therefore, when constructing an oral model, if there are wisdom teeth and the damaged teeth are central incisors, oblique incisors or canines, the doctor needs to manually remove the wisdom tooth model and adjust the orientation of the teeth affected by the wisdom teeth (generally, the teeth affected by wisdom teeth only change in orientation and the tooth morphology is still normal) to ensure the smooth progress of the subsequent steps.

[0130] Step 203: Screening of the standard oral model (i.e., the aforementioned target standard oral model).

[0131] In this application example, the closest standard oral model (target standard oral model) can be screened from the standard model library according to the "normal teeth" in the oral model and patient information (such as age, gender, location, etc.). First, a preliminary screening is carried out based on the objective factors of the patient (age, gender, location), and then a further screening is carried out based on the characteristics of the normal teeth to obtain the closest standard oral model. This dual screening mechanism aims to improve the matching degree between the screening result and the patient.

[0132] In practical applications, since abnormal teeth have already been affected, they are not suitable as the selection benchmark for the standard oral model. Therefore, in this solution, only normal teeth are used as the screening criteria, and the objective factors of the patient, age, gender, and location, are combined during the selection process to improve the matching degree between the screening result and the patient.

[0133] The screening of the standard model library is divided into two types. The first screening is to screen out the standard oral models that meet the objective factors (age, gender, location) of the patient. After the first screening is completed, the most similar standard oral model is further screened from the results of the first screening based on the normal teeth of the constructed model, thus completing the second screening.

[0134] Step 204: Calculation of model differences.

[0135] In this application example, the "normal teeth" in the target standard oral model selected in step 203 are compared with the "normal teeth" in the patient's oral model, and the model difference (the first model difference data) between the two is calculated. Since the standard model and the patient's actual model cannot be exactly the same, this part of the difference can be regarded as model error, and this error also exists in the teeth of other standard oral models.

[0136] Step 205: Optimization of the standard tooth model.

[0137] In this application example, based on the first model difference data obtained in step 204, the standard tooth model at the same position as the "abnormal teeth" and bad teeth in the standard oral model is adjusted and optimized to obtain an optimized standard tooth model. By synchronously applying the model error of the normal teeth to the tooth models at the corresponding positions in the standard oral model, it is made closer to the model shape of the patient when not affected by bad teeth.

[0138] Step 206: Calculation of the model difference of abnormal teeth.

[0139] In this application example, the tooth model corresponding to the "abnormal teeth" in the optimized standard tooth model in step 205 is compared with the tooth model of the "abnormal teeth" in the patient's oral model to obtain the model difference (the second model difference data) between the two. This part of the difference reflects the degree of influence of bad teeth on the surrounding teeth.

[0140] In practical applications, the tooth models adjusted in step 205 are usually very close to the normal model shape when not affected by bad teeth. However, due to the existence of bad teeth, there will still be a certain difference between these adjusted tooth models and the tooth models at the same position in the actually constructed oral model, and this part of the difference exactly reflects the influence brought by bad teeth.

[0141] Step 207: Adjustment of the dental implant model.

[0142] Based on the second model difference data obtained in step 206, determine whether to further adjust the standard tooth model optimized in step 205 to obtain the final dental implant model. If the model difference is small, directly use the optimized standard tooth model; if the difference is large, targeted adjustments are required. Specifically, the differences can be divided into two categories: positive contact teeth (the teeth that the bad tooth contacts when the mouth is closed) and side contact teeth (the teeth on both sides of the bad tooth). The influence of positive contact teeth is mainly reflected in the tooth height and the tooth contact surface. It is necessary to adjust the height and contact surface of the standard tooth model according to the difference to ensure normal occlusion with the positive contact teeth; the influence of side contact teeth is mainly reflected in the crown shape. It is necessary to adjust the crown shape of the standard tooth model according to the difference to fit the two side contact teeth. For example, after dental implant surgery, the doctor will perform initial adjustment, functional adjustment, fine adjustment of occlusion, and adjustment according to the patient's feedback to ensure the correct occlusion relationship between the dental implant and the adjacent teeth.

[0143] The differences compared in step 206 are divided into two categories according to the positional relationship: positive contact teeth (the teeth contacted by the bad tooth) and side contact teeth (the teeth on both sides of the bad tooth). The positive contact teeth affect the adjustment of the crown height and the contact surface, and the side contact teeth affect the adjustment of the peripheral shape of the crown.

[0144] In this application example, the influences of these two types of teeth by the bad tooth and the adjustment logic are as follows:

[0145] The influences of positive contact teeth compared in step 206 include tooth height influence and tooth contact surface influence. The tooth height influence includes causing its own height to be too high or too low. Taking the case where the height of the contact tooth is too high as an example, it is usually caused by the relatively low tooth height of the bad tooth itself. Since the tooth height of the bad tooth itself is relatively low, it is easy for the contact tooth to grow too high without the restraint of tooth contact, and the contact surface of the contact tooth will also become non-standard due to the lack of contact with healthy teeth. In this case, step 206 needs to adjust the height of the standard tooth model at the corresponding position of the bad tooth according to the height of the contact tooth to ensure that the tooth height after adjustment can allow the oral cavity to close healthily. At the same time, it is also necessary to adjust the contact surface of the standard tooth model according to the contact surface of the abutment tooth to ensure that the contact surface after adjustment can occlude normally with the abutment tooth.

[0146] The same is true for the case of too low tooth height influence, which will not be elaborated here.

[0147] The influence of side contact teeth compared in step 206 is mainly used to adjust the overall shape of the crown. For example, if a bad tooth with long-term tooth loss makes the side contact teeth too wide, the crown of the standard tooth model can be adjusted to be a little narrower according to the difference in the width of the side contact teeth being too wide. The adjustment of the overall shape of the crown is based on the standard that it can fit the two side contact teeth after adjustment.

[0148] In addition, after step 205 is adjusted, it is necessary to verify again the fit between the tooth model and the patient's actual teeth; in step 206, the fit situation is further confirmed. If the model difference is small or there is no difference, it means that the standard tooth model can be directly used as the dental implant model.

[0149] Step 208: Preparation of dental implant.

[0150] Prepare the dental implant according to the dental implant model obtained in step 207.

[0151] In this way, through the above denture modeling and preparation method, this application example realizes: (1) When the patient's decayed tooth affects other teeth, a dental implant model more suitable for the user currently can be obtained. (2) The selected standard oral model has a higher fit with the patient. (3) The specially trained neural network can accurately distinguish normal teeth and abnormal teeth. (4) The influence of wisdom teeth on the selection of the standard tooth model is eliminated.

[0152] In some embodiments, the embodiment of the present application also provides a denture modeling and preparation system, which includes: an image acquisition module and an electronic device 300; wherein, the image acquisition module is used to acquire and send the tooth image data of the patient.

[0153] Here, the image acquisition device includes but is not limited to: an intraoral scanner or a three-dimensional photography device, which is used to acquire multi-angle tooth images in the patient's oral cavity, generate and send the tooth image data of the patient to the electronic device 300.

[0154] Based on the hardware implementation of the above program modules, and in order to implement the method of the embodiment of the present application, the embodiment of the present application also provides an electronic device. Figure 3 Only the exemplary structure of the electronic device is shown rather than all structures, and according to needs, Figure 3 the shown partial structure or all structures can be implemented. As Figure 3 shown, the electronic device 300 provided by the embodiment of the present application includes: at least one processor 301, a memory 302, a user interface 303, and at least one network interface 304. Each component in the electronic device 300 is coupled together through a bus system 305. It can be understood that the bus system 305 is used to realize the connection and communication between these components. In addition to the data bus, the bus system 305 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clear illustration, Figure 3 all kinds of buses are labeled as the bus system 305 in

[0155] Among them, the user interface 303 may include a display, a keyboard, a mouse, a trackball, a click wheel, a button, a touchpad, or a touch screen, etc.

[0156] The memory 302 in the embodiments of the present application is used to store various types of data to support the operation of the electronic device. Examples of such data include: any computer program for operating on the electronic device.

[0157] The denture modeling and preparation method of the electronic device disclosed in the embodiments of the present application can be applied to or implemented by the processor 301. The processor 301 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the denture modeling and preparation method of the electronic device can be completed by the integrated logic circuit of the hardware in the processor 301 or the instructions in the form of software. The above-mentioned processor 301 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 301 can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present application. The general-purpose processor may be a microprocessor or any conventional processor, etc. Combining the steps of the method disclosed in the embodiments of the present application, it can be directly embodied as being executed and completed by the hardware decoding processor, or executed and completed by the combination of the hardware and software modules in the decoding processor. The software module may be located in the storage medium, which is located in the memory 302. The processor 301 reads the information in the memory 302 and combines its hardware to complete the steps of the denture modeling and preparation method of the electronic device provided in the embodiments of the present application.

[0158] In an exemplary embodiment, the electronic device can be implemented by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontroller units (MCUs), microprocessors, or other electronic components for executing the foregoing method.

[0159] It can be understood that the memory 302 can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a ferromagnetic random access memory (FRAM), a flash memory, a magnetic surface memory, an optical disc or a compact disc read-only memory (CD-ROM); the magnetic surface memory can be a disk memory or... The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), sync link dynamic random access memory (SLDRAM), direct rambus random access memory (DRRAM). The memory described in the embodiments of the present application is intended to include but not limited to these and any other suitable types of memory.

[0160] It should be noted that: "first", "second", etc. are used to distinguish similar objects, and do not necessarily describe a specific order or sequence.

[0161] In addition, the technical solutions described in the embodiments of the present application can be arbitrarily combined without conflict.

[0162] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for preparing denture modeling, characterized in that: include: Acquire dental image data in the patient's oral cavity and personal data of the patient, wherein the personal data includes at least one of the following: age data, gender data, and patient location data; Based on the tooth image data, an oral model of the patient is generated, and the teeth to be extracted in the oral model are identified. 、 Normal and abnormal teeth; Based on the identification data of the normal teeth, the personal data of the patient and the standard oral model library, searching for a target standard oral model that matches the patient; wherein the number of normal teeth in the oral model is consistent with the number of normal teeth in the target standard oral model; Preliminarily optimizing the abnormal tooth model in the target standard oral model and the tooth model to be implanted corresponding to the tooth to be extracted based on the first model difference data between the normal tooth model in the target standard oral model and the normal tooth model in the oral model; If the second model difference data between the abnormal tooth model in the target standard oral model after preliminary optimization and the abnormal tooth model of the oral model is greater than or equal to the set threshold, the tooth model to be implanted after preliminary optimization is secondary optimized to construct a dental implant model; Based on the dental implant model, the dental implant model is prepared.

2. The method according to claim 1, characterized in that The step of identifying the teeth to be extracted, normal teeth and abnormal teeth in the oral model comprises: Identifying the teeth to be extracted in the oral model; Classifying the teeth other than the teeth to be extracted in the oral model of the target patient based on the trained neural network-like model, and determining normal teeth and abnormal teeth among the other teeth; The normal teeth and the abnormal teeth are identified.

3. The method according to claim 1, characterized in that: The step of generating the oral cavity model of the patient based on the tooth image data comprises: If the tooth image data includes wisdom tooth image data, and the type of the patient's tooth to be extracted is at least one of the following: a central incisor, an oblique incisor, or a canine, an initial oral model is acquired, and indication information is generated; In response to the instruction information, removing the wisdom tooth model in the initial oral cavity model; The initial oral cavity model after removing the wisdom tooth model is adjusted to generate the oral cavity model.

4. The method according to claim 3, characterized in that The adjusting of the initial oral cavity model after removing the wisdom tooth model comprises: Correct the orientation data of the teeth to be adjusted in the initial oral model after the wisdom tooth model is removed, wherein the teeth to be adjusted are adjacent teeth squeezed by the wisdom teeth.

5. The method according to claim 1, characterized in that The step of searching for a target standard oral model matching the patient based on the identification data of the normal teeth, the personal data of the patient and a standard oral model library comprises: Screening the standard oral model library based on the patient's personal data to determine an initial oral model library; The target standard oral cavity model is searched based on the identification data of the normal teeth and the initial oral cavity model library.

6. The method according to claim 1, characterized in that The method further comprises: If the second model difference data between the abnormal tooth model in the target standard oral model after preliminary optimization and the abnormal tooth model of the oral model is less than the set threshold, a dental implant model is constructed based on the tooth model to be implanted in the target standard oral model after preliminary optimization.

7. The method according to claim 1, characterized in that The abnormal teeth include positively interfering teeth that interfere with the teeth to be extracted in the height direction when the mouth is closed. The secondary optimization of the initially optimized model of the teeth to be implanted to construct the implant model includes: Acquire tooth height difference data of the positive conflicting tooth model in the second model difference data; Based on the tooth height difference data, adjusting the tooth height of the initially optimized tooth model to be implanted, so as to perform secondary optimization on the initially optimized tooth model to be implanted in the target standard oral model; Based on the second optimized tooth model to be implanted, the implant model is constructed.

8. The method according to claim 1, characterized in that The abnormal teeth include positively interfering teeth that interfere with the teeth to be extracted in the height direction when the mouth is closed. The secondary optimization of the initially optimized model of the teeth to be implanted to construct the implant model includes: Acquire the difference data of the contact surface morphology of the positive contact tooth model in the second model difference data; Based on the conflict surface morphology difference data, adjusting the conflict surface curvature of the initially optimized tooth model to be implanted, so as to perform secondary optimization on the initially optimized tooth model to be implanted in the target standard oral model; Based on the second optimized tooth model to be implanted, the implant model is constructed.

9. The method according to claim 1, characterized in that: The abnormal teeth include lateral interfering teeth that interfere with the teeth to be extracted in the horizontal direction. The model of the teeth to be implanted after preliminary optimization is subjected to secondary optimization to construct a dental implant model, including: Acquire the crown morphology difference data of the lateral impacting tooth model in the second model difference data; Based on the crown morphology difference data, adjusting the crown width and crown contour morphology data of the initially optimized tooth model to be implanted, so as to perform secondary optimization on the initially optimized tooth model to be implanted in the target standard oral model; Based on the second optimized tooth model to be implanted, the implant model is constructed.

10. A denture modeling and preparation system, characterized in that: The system comprises an image acquisition module and an electronic device; wherein the image acquisition module is used to acquire and send the patient's dental image data; the electronic device comprises: a processor and a memory for storing a computer program that can be run on the processor, wherein: The processor is used to execute the steps of the method according to any one of claims 1 to 9 when running a computer program.

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