A dynamic prediction system for occlusal relationship of partial denture transparent brackets

Abstract

The present invention relates to the technical field of computer-aided design, and more specifically to a system for dynamically predicting the occlusal relationship of a transparent support for a partial denture. The system implements the following steps: screening effective occlusal points based on the force conditions during tooth occlusion when the partial denture and the transparent support are installed; determining the main occlusal points at each moment based on the force magnitude and force superposition of each effective occlusal point; determining the slip trend of each main occlusal point; determining the slip transfer trend of each target occlusal point based on the slip trend and the force transfer between the main occlusal points; the target occlusal point is the main occlusal point on the partial denture; determining the shape control coefficient of the adjacent voxels of the target occlusal point on the transparent support based on the slip trend and slip transfer trend of the target occlusal point at each moment. Using this system, the occlusal relationship can be accurately predicted, thereby accurately determining the shape control coefficient of the voxels on the transparent support, and further accurately adjusting the shape of the transparent support.

Description

Technical Field

[0001] The present invention relates to the technical field of computer-aided design, and in particular to a dynamic prediction system for the occlusal relationship of a partial denture transparent bracket. Background Art

[0002] A partial denture is a dental prosthesis used to replace some missing teeth and restore oral function and aesthetics. It is secured with a transparent bracket, which creates a proper tooth arrangement, optimizes bite point contact, reduces undesirable bite force distribution, and improves patient comfort.

[0003] When a patient's bite is incorrect due to factors such as tooth structure or chewing habits, some teeth may not touch properly during occlusion, resulting in uneven force distribution across the teeth. Furthermore, this uneven pressure distribution can accelerate wear on teeth that are under greater pressure. Using transparent brackets to optimize occlusion can reduce the negative bite forces of dentures.

[0004] To mitigate the problem of poor occlusal forces, existing technologies create digital models of transparent brackets and analyze the impact of factors such as tooth morphology and occlusion on key bracket parameters. Based on the patient's personalized bracket model structure, appropriate processing techniques are selected, and occlusion is predicted and adjusted, allowing for precise adjustments to the digital model.

[0005] In traditional methods, when analyzing possible adverse occlusal force trends, the analysis is often performed only through the changing trend of the force magnitude at the occlusal point. However, the forces between occlusal points will influence and overlap with each other, resulting in inaccurate predictions of the occlusal relationship based only on the force conditions of a single occlusal point, making it impossible to accurately adjust the transparent bracket. Summary of the Invention

[0006] In order to solve the technical problem of inaccurate prediction of occlusal relationship and inability to accurately adjust transparent brackets, the present invention aims to provide a dynamic prediction system for occlusal relationship of transparent brackets of partial dentures. The technical solution adopted is as follows:

[0007] The present invention provides a dynamic prediction system for the occlusal relationship of a partial denture transparent bracket, the system comprising a memory and a processor; the memory storing executable program code; the processor running the executable program code to implement the following steps:

[0008] Screen the effective occlusal point according to the force conditions during tooth occlusion when partial dentures and transparent brackets are installed;

[0009] Determine the main bite point at each moment according to the force magnitude and force superposition of each effective bite point at each moment;

[0010] determining the slip trend of each of the main bite points at each moment;

[0011] Determining the slip transfer trend of each target occlusal point at each moment based on the slip trend and the force transfer between the main occlusal points; the target occlusal point is the main occlusal point on the partial denture;

[0012] According to the slip trend and the slip transfer trend of the target occlusion point at each moment, a shape control coefficient of adjacent voxels of the target occlusion point on the transparent support is determined.

[0013] According to the dynamic prediction system for the occlusal relationship of a partial denture transparent bracket provided by the present invention, the effective occlusal point is screened according to the force conditions of the teeth during occlusion when the partial denture and the transparent bracket are installed, including:

[0014] Determining the force effectiveness of each occlusal point based on the force applied to each occlusal point at each moment during tooth occlusion with the partial denture and the transparent bracket installed;

[0015] According to the force effectiveness of each bite point, effective bite points are selected from the bite points.

[0016] According to the dynamic prediction system for the occlusal relationship of a partial denture transparent bracket provided by the present invention, the determination of the force effectiveness of each occlusal point according to the force magnitude of each occlusal point at each moment during the tooth occlusion process when the partial denture and the transparent bracket are installed includes:

[0017] For each occlusal point during tooth occlusion with a partial denture and a transparent bracket installed, the force effectiveness of the occlusal point is determined based on the maximum force at the occlusal point and the force difference between the occlusal point and the average force of the surrounding occlusal points.

[0018] According to the dynamic prediction system for the occlusal relationship of a partial denture transparent bracket provided by the present invention, the main occlusal point at each moment is determined based on the force magnitude and force superposition of each effective occlusal point at each moment, including:

[0019] Determining the bite transfer coefficient between the effective bite points at each moment according to the distance between the effective bite points and the force difference at each moment;

[0020] For each effective bite point at each moment, determine a central evaluation of the effective bite point at that moment based on the force applied to the effective bite point at that moment, the bite transfer coefficient of the effective bite point to each of the surrounding effective bite points, and the force applied to each of the surrounding effective bite points and the force effectiveness;

[0021] The main bite point at each moment is determined based on the central evaluation of each effective bite point at each moment.

[0022] According to the dynamic prediction system for the occlusal relationship of a partial denture transparent bracket provided by the present invention, the determination of the main occlusal point at each moment based on the central evaluation of each effective occlusal point at each moment includes:

[0023] For each moment, clustering the central evaluations of the effective bite points at the moment to obtain two clusters;

[0024] Determine the cluster with the larger average value of the center evaluation as the target cluster;

[0025] The outlier valid bite points are removed from the valid bite points in the target cluster, and the remaining valid bite points in the target cluster are used as the main bite points at the moment.

[0026] According to the dynamic prediction system for occlusal relationship of a partial denture transparent bracket provided by the present invention, the slip trend includes a slip influence degree and a slip influence vector;

[0027] Determining the slip trend of each of the main bite points at each moment includes:

[0028] determining a plurality of main occlusal areas formed by the main occlusal points;

[0029] For each moment, respectively, according to the deviation of each of the main occlusal areas relative to the tooth surface reference curve at the moment, determine the overall deviation coefficient at the moment;

[0030] For each primary occlusal point at each moment, determine the slip influence of the primary occlusal point at that moment based on the overall deviation coefficient at that moment, the center evaluation of the primary occlusal point at that moment, the time interval since the primary occlusal point was last used as the primary occlusal point, and the position of the primary occlusal point in the primary occlusal area;

[0031] Taking the main bite point as the starting point, the direction of the minimum distance from the center of the main bite area where the main bite point is located at each moment to the tooth surface reference curve is used as the vector direction, and the slip influence degree of the main bite point at the moment is used as the modulus of the vector, the slip influence vector of the main bite point at the moment is constructed.

[0032] According to the dynamic prediction system for occlusal relationship of a partial denture transparent bracket provided by the present invention, the slip trend includes a slip influence degree and a slip influence vector; the slip transmission trend includes a slip transmission coefficient and a slip transmission main direction;

[0033] Determining the slip transfer trend of each target bite point at each moment based on the slip trend and the force transfer between the main bite points includes:

[0034] For each target bite point at each moment, respectively, determine the angle between the line connecting each main bite point to the target bite point and the slip influence vector of the main bite point, to obtain the action angle of each main bite point on the target bite point;

[0035] Determining the slip transfer coefficient of the target occlusal point at the moment according to the occlusal transfer coefficient and the action angle of each of the main occlusal points on the target occlusal point, and the slip influence of each of the main occlusal points;

[0036] The main slip transmission direction of the target bite point at the moment is determined according to the action angle of each main bite point on the target bite point and the slip influence vector of each main bite point.

[0037] According to the dynamic prediction system for occlusal relationship of a partial denture transparent bracket provided by the present invention, the slip trend includes a slip influence degree; the slip transmission trend includes a slip transmission coefficient and a slip transmission main direction;

[0038] Determining the shape control coefficient of the adjacent voxels of the target occlusion point on the transparent support according to the slip trend and the slip transfer trend of the target occlusion point at each moment includes:

[0039] For each adjacent voxel of each target bite point on the transparent bracket, the shape control coefficient of the adjacent voxel is determined according to the slip influence degree of the target bite point at each moment and the slip transfer coefficient corresponding to each target slip transfer main direction passing through the adjacent voxel in the slip transfer main direction of the target bite point at each moment.

[0040] According to the dynamic prediction system for the occlusal relationship of a partial denture transparent framework provided by the present invention, the processor runs the executable program code and further implements the following steps:

[0041] According to the shape control coefficient of each adjacent voxel of each target occlusion point, the adjusted height value of the corresponding voxel on the transparent bracket is determined; the adjusted height value is used as a target adjustment value to adjust the height of the corresponding voxel on the transparent bracket.

[0042] According to the dynamic prediction system for the occlusal relationship of a partial denture transparent framework provided by the present invention, the processor runs the executable program code and further implements the following steps:

[0043] After adjusting the height of the voxels on the transparent bracket, return to the step of screening the effective occlusion point and subsequent steps based on the force conditions of the teeth during occlusion when the partial denture and the transparent bracket are installed to determine a new shape control coefficient, and adjust the transparent bracket again based on the new shape control coefficient.

[0044] The present invention has the following beneficial effects: effective bite points are screened according to the stress conditions during tooth occlusion when a partial denture and a transparent bracket are installed; then, the main bite points at each moment are determined according to the force magnitude and force superposition of each effective bite point at each moment; the slip transfer trend of each target bite point on the partial denture at each moment is determined according to the slip trend of each main bite point and the force transfer between the main bite points; finally, the shape control coefficient of the adjacent voxels of the target bite point on the transparent bracket is determined according to the slip trend and slip transfer trend of the target bite point at each moment. This not only takes into account the stress conditions of a single bite point, but also fully considers the superposition of the mutual influence between bite points, thereby accurately predicting the occlusal relationship and thus accurately determining the shape control coefficient of the voxel on the transparent bracket, and further accurately adjusting the shape of the transparent bracket. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 This is an architectural diagram of a dynamic prediction system for the occlusal relationship of a partial denture transparent bracket provided by one embodiment of the present invention;

[0047] Figure 2 A schematic flow chart of the steps implemented by a dynamic prediction system for occlusal relationships of transparent partial denture brackets provided by one embodiment of the present invention;

[0048] Figure 3 A diagram showing the principle of calculating the distance between effective bite points provided by one embodiment of the present invention;

[0049] Figure 4 A schematic diagram of a tooth surface reference curve provided by one embodiment of the present invention;

[0050] Figure 5 A schematic diagram of a main direction of slip transfer through adjacent voxels provided by one embodiment of the present invention;

[0051] Figure 6This is a schematic diagram of the overall flow of steps implemented by a dynamic prediction system for occlusal relationships of transparent partial denture frameworks provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0052] To further illustrate the technical means and effectiveness of the present invention in achieving its intended objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, provides a detailed description of the specific implementation, structure, features, and effectiveness of a dynamic prediction system for the occlusal relationship of a transparent partial denture framework according to the present invention. In the following description, references to different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0053] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0054] The specific scheme of the dynamic prediction system for the occlusal relationship of a partial denture transparent bracket provided by the present invention is described in detail below with reference to the accompanying drawings.

[0055] See also Figure 1 , which shows an architecture diagram of a partial denture transparent bracket occlusal relationship dynamic prediction system provided by an embodiment of the present invention, the partial denture transparent bracket occlusal relationship dynamic prediction system includes a memory and a processor; the memory stores executable program code; the processor runs the executable program code to implement the following Figure 2 The following steps are shown:

[0056] Step 201 , screening effective occlusal points according to the stress conditions during tooth occlusion when the partial denture and the transparent bracket are installed.

[0057] A partial denture is a dental prosthesis that replaces some missing teeth and restores oral function and aesthetics. Transparent brackets are used to secure partial dentures.

[0058] In one embodiment, a basic denture can be designed, and a transparent initial denture frame can be fabricated based on the outer surface of the patient's dental model. After the basic denture and the transparent initial denture frame are installed on the patient, a dental occlusion analysis system can be used to collect the force conditions at each occlusal point at each moment during the patient's dental occlusion. For example, the T-scan dental occlusion analysis system can be used for this collection.

[0059] In one embodiment, the steps of designing a basic denture may include: scanning the patient's oral cavity using an intraoral scanner to obtain a model of the patient's oral cavity, determining a Spee curve of the patient's oral cavity based on the model, determining the height and direction of the denture to fill the missing tooth area based on the Spee curve, and designing the basic denture based on the height and direction. The Spee curve is a line connecting the incisal edges of the mandibular incisors, the cusps of the canines, the buccal cusps of the premolars, and the mesiodistal buccal cusps of the molars. A normal Spee curve allows for a tighter occlusion of the upper and lower jaws and transmits jaw force to the jawbone along the long axis of the mandibular teeth, thereby helping to exert greater chewing force and protecting dental and periodontal health.

[0060] When the patient performs a bite action, the stress conditions of the teeth in each position are different due to differences in the patient's tooth shape distribution, bite habits, etc. The installed partial denture may be a key stress-bearing tooth used for chewing, or it may be other teeth that are not used for chewing and are subject to less stress, or the teeth may have poor contact due to incorrect bite action of the patient, resulting in abnormal stress conditions. In order to screen out effective bite points that may be subject to large or abnormal stress and thus may affect the wear of the partial denture, the stress changes of each bite point during the stress process are analyzed to determine the pressure intensity of each tooth, thereby obtaining the force effectiveness of each bite point. Based on the force effectiveness of each bite point, effective bite points are screened from each bite point.

[0061] Step 202: determining the main occlusal point at each moment according to the force magnitude and force superposition of each effective occlusal point at each moment.

[0062] In one embodiment, the center evaluation of each effective bite point at each moment is determined according to the force magnitude and force superposition of each effective bite point at each moment, and the main bite point at each moment is determined according to the center evaluation of each effective bite point at each moment.

[0063] In one embodiment, the bite transfer coefficient between the effective bite points at each moment can be determined based on the distance between the effective bite points and the force difference at each moment, and the force superposition situation can be determined based on the bite transfer coefficient between the effective bite points.

[0064] Step 203: Determine the slip trend of each main bite point at each moment.

[0065] In one embodiment, the slip tendency includes a slip influence degree and a slip influence vector.

[0066] In one embodiment, several main bite areas composed of main bite points are determined, and for each moment, the overall deviation coefficient at that moment is determined according to the deviation of each main bite area relative to the tooth surface reference curve at that moment. Then, for each main bite point at each moment, the slip influence of the main bite point at that moment is determined according to the overall deviation coefficient at that moment and the evaluation of the main bite point itself at that moment.

[0067] In one embodiment, the self-condition evaluation of the main bite point may include the position condition, the center evaluation, and the interval length since the main bite point was last used.

[0068] In one embodiment, for each main bite point at each moment, the main bite point is used as the starting point, the direction of the minimum distance from the center of the main bite area where the main bite point is located at each moment to the tooth surface reference curve is used as the vector direction, and the slip influence degree of the main bite point at that moment is used as the modulus of the vector to construct the slip influence vector of the main bite point at that moment.

[0069] Step 204 , determining the slip transfer trend of each target occlusal point at each moment based on the slip trend and the force transfer between the main occlusal points; the target occlusal point is the main occlusal point on the partial denture.

[0070] In one embodiment, the slip transfer tendency includes a slip transfer coefficient and a slip transfer main direction.

[0071] In one embodiment, for each target bite point at each moment, the slip transfer coefficient of the target bite point at that moment is determined according to the slip influence vector, slip influence degree and bite transfer coefficient of each main bite point.

[0072] In one embodiment, the main slip transmission direction of the target bite point at the moment is determined according to the action angle of each main bite point on the target bite point and the slip influence vector of each main bite point.

[0073] Step 205 : determining the shape control coefficients of the adjacent voxels of the target occlusion point on the transparent support according to the slip trend and slip transfer trend of the target occlusion point at each moment.

[0074] It can be understood that the shape control coefficients of adjacent voxels are determined based on each target occlusion point, so that each voxel on the transparent bracket obtains multiple shape control coefficients. The average value of the shape control coefficients corresponding to each voxel can be calculated for each voxel to obtain the final shape control coefficient of the voxel.

[0075] The above-mentioned dynamic prediction system for the occlusal relationship of the partial denture transparent bracket selects the effective occlusal points according to the force conditions during the tooth occlusion process when the partial denture and the transparent bracket are installed, and then determines the main occlusal points at each moment according to the force size and force superposition of each effective occlusal point at each moment, and determines the slip transfer trend of each target occlusal point on the partial denture at each moment according to the slip trend of each main occlusal point and the force transfer between the main occlusal points. Finally, according to the slip trend and slip transfer trend of the target occlusal point at each moment, the shape control coefficient of the adjacent voxels of the target occlusal point on the transparent bracket is determined. It not only takes into account the force conditions of a single occlusal point, but also fully considers the superposition of mutual influence between occlusal points, so as to accurately predict the occlusal relationship and accurately determine the shape control coefficient of the voxel on the transparent bracket, and then accurately adjust the shape of the transparent bracket to make the occlusal relationship arrangement more reasonable.

[0076] In one embodiment, effective bite points are screened based on the force conditions during tooth occlusion with the partial denture and the transparent bracket installed, including: determining the force effectiveness of each bite point based on the force magnitude at each bite point at each moment during tooth occlusion with the partial denture and the transparent bracket installed; and screening effective bite points from each bite point based on the force effectiveness of each bite point.

[0077] In one embodiment, for each occlusal point during tooth occlusion with a partial denture and a transparent bracket installed, the force effectiveness of the occlusal point is determined based on the force conditions of the occlusal point itself and the force differences between the occlusal point and its surrounding occlusal points.

[0078] In one embodiment, the force effectiveness of each bite point is compared with a preset force effectiveness threshold, and the bite point with a force effectiveness greater than or equal to the preset force effectiveness threshold is determined as a valid bite point. The preset force effectiveness threshold can be set according to actual conditions, for example, the preset force effectiveness threshold can be set to 0.5.

[0079] In the above embodiment, since the occlusal points with greater effectiveness may be poorly stressed, affecting the wear rate of the partial denture, the effective occlusal points that may be poorly stressed are preliminarily screened out based on the force effectiveness of each occlusal point, which can improve the calculation efficiency.

[0080] In one embodiment, the force effectiveness of each bite point is determined based on the force magnitude of each bite point at each moment during the tooth occlusion process with the partial denture and the transparent bracket installed, including: for each bite point during the tooth occlusion process with the partial denture and the transparent bracket installed, the force effectiveness of the bite point is determined based on the maximum force of the bite point and the force difference between the bite point and the average force of each surrounding bite point.

[0081] The maximum force is the maximum value of the force applied to the bite point at each moment during the occlusion process. The average force is the average value of the force applied to the bite point at each moment during the occlusion process. The surrounding bite points are the bite points within a preset range. For example, the surrounding bite points can be the 20 closest bite points.

[0082] In one embodiment, the force effectiveness of the bite point is positively correlated with the maximum force at the bite point. The force effectiveness of the bite point is positively correlated with the force difference.

[0083] In one embodiment, the sum of the force differences between the bite point and the average force of each surrounding bite point can be determined to obtain the sum of the force differences, and then the force effectiveness of the bite point can be determined based on the product of the sum of the force differences and the maximum force of the bite point.

[0084] In one embodiment, the force effectiveness of the bite point can be determined according to the following formula:

[0085]

[0086] in, Indicates the The effectiveness of the force at each bite point. Indicates the The maximum force at each bite point. Indicates the The average force at each bite point. Indicates the The first bite point The average force at the surrounding bite points. Indicates the The first bite point and the The first bite point The force difference between the average forces at the surrounding bite points. Indicates the The sum of the force differences between the bite point and the average force of the surrounding bite points, that is, the sum of the force differences. Indicates the preset surrounding range, that is, the number of surrounding bite points. For example: j=20 means that The 20 occlusal points closest to each occlusal point are regarded as the surrounding occlusal points. represents the linear normalization function.

[0087] In the above embodiment, the stress condition of the bite point can be accurately measured based on the maximum stress of the bite point and the difference in stress between the bite point and the average stress of the surrounding bite points, thereby accurately determining the effectiveness of the stress on the bite point.

[0088] In one embodiment, the main bite point at each moment is determined based on the force magnitude and force superposition of each effective bite point at each moment, including: determining the bite transfer coefficient between each effective bite point at each moment based on the distance between each effective bite point and the force difference at each moment; for each effective bite point at each moment, determining the center evaluation of the effective bite point at each moment based on the force magnitude of the effective bite point at the moment, the bite transfer coefficient of the effective bite point to each surrounding effective bite point, and the force magnitude and force effectiveness of each surrounding effective bite point; determining the main bite point at each moment based on the center evaluation of each effective bite point at each moment.

[0089] The surrounding effective bite points are effective bite points within a preset surrounding range. For example, the surrounding effective bite points may be the 20 closest effective bite points.

[0090] In one embodiment, the force magnitude of each effective bite point at each moment is obtained, and the effective bite point influence relationship is established based on the path between the effective bite points. For each two effective bite points, the shortest path between the two effective bite points passing through other effective bite points is recorded as the distance between the two effective bite points. Figure 3 As shown, the path from the mth effective bite point to the kth effective bite point is shown, and the distance between the mth effective bite point and the kth effective bite point is .in, 、 、 The lengths of the first, second, and third segments of the shortest path from the mth valid bite point to the kth valid bite point are respectively. The line connecting adjacent valid bite points is a segment.

[0091] In one embodiment, the bite transfer coefficient between effective bite points is negatively correlated with the distance between the effective bite points. The bite transfer coefficient between effective bite points is positively correlated with the force difference between the effective bite points. It can be understood that the closer the distance, the stronger the force transfer between the effective bite points; and the greater the force difference, the stronger the force transfer between the effective bite points.

[0092] In one embodiment, the bite transfer coefficient between the effective bite points may be determined according to the ratio between the force difference and the distance between the effective bite points.

[0093] In one embodiment, the occlusal transfer coefficient between effective occlusal points may be determined according to the following formula:

[0094]

[0095] in, It represents the occlusal transfer coefficient of the mth effective occlusal point to the kth effective occlusal point at the tth moment. It represents the force at the mth effective bite point at the tth moment. Indicates the force at the kth effective bite point at the tth moment. It represents the force difference between the mth effective bite point and the kth effective bite point at the tth moment. Represents the distance between the mth effective bite point and the kth effective bite point. represents the linear normalization function.

[0096] In one embodiment, the central evaluation of the effective bite point is positively correlated with the force magnitude of the effective bite point, the bite transfer coefficient of the effective bite point to each surrounding effective bite point, and the force magnitude and force effectiveness of each surrounding effective bite point.

[0097] In one embodiment, for each effective bite point at each moment, the bite transfer coefficient of each surrounding effective bite point, the force magnitude and force effectiveness of each surrounding effective bite point are multiplied by the effective bite point at that moment, and then the products are summed. The summed result is added to the force magnitude of the effective bite point at that moment to obtain the center evaluation of the effective bite point at that moment. The formula is as follows:

[0098]

[0099] in, It represents the center evaluation of the mth effective bite point at the tth moment. The force magnitude at the mth effective bite point at the tth moment. Indicates the force effectiveness of the i-th surrounding effective bite point of the m-th effective bite point. It represents the occlusal transfer coefficient of the mth effective occlusal point to the i-th surrounding effective occlusal point at the tth moment. It represents the force magnitude of the ith effective bite point around the mth effective bite point at the tth moment. Indicates the preset surrounding range, that is, the number of effective bite points around. For example: j=20 means that The 20 valid bite points closest to the valid bite point are taken as the surrounding valid bite points.

[0100] In one embodiment, based on the center evaluation of each effective occlusal point at a moment, an occlusal center field at that moment may be established.

[0101] In one embodiment, the central evaluations of the effective bite points at each moment may be clustered, and the main bite point at each moment may be determined based on the clustering results.

[0102] In the above-mentioned embodiment, when occlusal slip occurs during occlusion, not only will the teeth at the site of the slip experience adverse force, but teeth at other locations significantly related to the force on that tooth will also be affected. Therefore, based on the force magnitude at each effective occlusal point during the occlusal process and its impact on surrounding effective occlusal points, an occlusal center field is established at each moment. This occlusal center field reflects the primary distribution of direct force (the force on the effective occlusal point itself) and indirect force (the superposition of the influence of other occlusal points) at each moment, accurately identifying the primary occlusal point. Because the occlusal transfer coefficient accurately reflects the ability of an effective occlusal point to transfer force to other effective occlusal points, combined with the force magnitude of each effective occlusal point and the superposition of the transfer conditions at surrounding effective occlusal points, the central evaluation of each effective occlusal point can be accurately determined.

[0103] In one embodiment, the main bite point at each moment is determined based on the central evaluation of each effective bite point at each moment, including: clustering the central evaluation of each effective bite point at each moment to obtain two clusters; determining the cluster with a larger average value of the central evaluation as the target cluster; removing outlier effective bite points from the effective bite points in the target cluster, and using the remaining effective bite points in the target cluster as the main bite points at the moment.

[0104] In one embodiment, a k-means clustering method may be used for clustering, where k=2.

[0105] In one embodiment, an outlier valid bite point may be a valid bite point whose number of adjacent valid bite points in the target cluster is less than or equal to a preset number. The preset number may be set to 3. That is, valid bite points with a number of adjacent valid bite points less than or equal to 3 are removed from the target cluster, and the remaining valid bite points in the target cluster are used as the primary bite points at that moment.

[0106] In the above embodiment, clustering is performed based on the center evaluation of each effective bite point at each moment, so that the main bite point at each moment can be accurately determined, and then the main bite area where direct or indirect stress is concentrated can be accurately determined based on the main bite point, which facilitates stress analysis of the area where stress is concentrated.

[0107] In one embodiment, the slip trend includes a slip influence degree and a slip influence vector; determining the slip trend of each main bite point at each moment includes: determining a number of main bite areas composed of each main bite point; for each moment, determining the overall deviation coefficient at the moment according to the deviation of each main bite area relative to the tooth surface reference curve at the moment; for each main bite point at each moment, determining the slip influence degree of the main bite point at the moment according to the overall deviation coefficient at the moment, the center evaluation of the main bite point at the moment, the interval time from the last time it was the main bite point, and the position of the main bite area; taking the main bite point as the starting point, taking the direction of the minimum distance from the center of the main bite area where the main bite point is located at each moment to the tooth surface reference curve as the vector direction, and taking the slip influence degree of the main bite point at the moment as the modulus of the vector, constructing the slip influence vector of the main bite point at the moment.

[0108] Among them, the tooth surface reference curve is a reference curve made based on the tooth surface center of each tooth. Figure 4 The figure below shows a schematic diagram of the tooth surface reference curve. The concave side of the tooth surface reference curve is designated as the inner side, and the other side is designated as the outer side. The tooth surface reference curve is used to verify deviation in the primary occlusal area. The primary occlusal area is the area where direct or indirect forces are concentrated. When the occlusal alignment deviates, the forces acting on the tooth are concentrated in the direction of the deviation, causing the primary occlusal area of ​​the tooth, which was originally dispersed across the tooth surface, to become concentrated in a certain area.

[0109] In one embodiment, the deviation of the primary occlusal area from the tooth surface reference curve may include a position coefficient of the primary occlusal area and a minimum distance from the primary occlusal area to the tooth surface reference curve. The overall deviation coefficient at that moment may be determined based on the position coefficient and minimum distance of each primary occlusal area relative to the tooth surface reference curve at that moment.

[0110] The position coefficient characterizes the orientation of the primary engagement area relative to the tooth surface reference curve. Positions can include being inside, outside, or on the tooth surface reference curve. For example, if the primary engagement area is inside the tooth surface reference curve, the position coefficient is -1; if it is outside the tooth surface reference curve, the position coefficient is 1; and if it is on the tooth surface reference curve, the position coefficient is 0.

[0111] In one embodiment, the overall deviation coefficient is positively correlated with the position coefficient and the minimum distance of each main engagement area relative to the tooth surface reference curve.

[0112] In one embodiment, for each moment, the product of the position coefficient of each main occlusal area relative to the tooth surface reference curve and the minimum distance at that moment is calculated, and the products corresponding to each main occlusal area are averaged to obtain the overall deviation coefficient at that moment. The formula is as follows:

[0113]

[0114] in, Represents the overall deviation coefficient at the tth moment. Represents the position coefficient of the rth main occlusal area at the tth moment. It represents the minimum distance from the rth main engagement area to the tooth surface reference curve at the tth moment. Represents the number of main occlusal areas at the tth moment. Represents the hyperbolic tangent function, which is used for normalization. The normalized range is [-1, 1].

[0115] It can be understood that the overall deviation coefficient reflects the overall deviation trend of each major occlusal area at the corresponding moment. The more normal the occlusion, the closer the overall deviation coefficient is to 0.

[0116] In one embodiment, the position condition of the main bite area where the main bite point is located may include a position coefficient of the main bite area where the main bite point is located and a minimum distance from the center of the main bite area where the main bite point is located to the tooth surface reference curve.

[0117] In one embodiment, the slip influence of the main bite point can be determined according to the following formula:

[0118]

[0119] in, It represents the slip influence of the mth main bite point at the tth moment. Represents the position coefficient of the main occlusal area where the mth main occlusal point is located at the tth moment. Represents the overall deviation coefficient at the tth moment. When the slip trend of the mth main bite point is consistent with the overall, The result is positive, otherwise it is negative. It represents the minimum distance from the center of the main engagement area where the mth main engagement point is located at the tth moment to the tooth surface reference curve. Indicates the time interval between the mth main bite point at the tth moment and the last main bite point. represents the central evaluation of the mth main occlusal point at the tth moment.

[0120] It can be understood that since the main bite points at different moments may be different, some bite points belong to the main bite points at some moments, but not at other moments. Therefore, if the mth main bite point is not the main bite point at the tth moment, the minimum distance from the center of the main bite area where the point was the main bite point the last time to the tooth surface reference curve is taken as ; If the mth main occlusal point is not a main occlusal point before the tth moment, then The value is 0. If the mth main bite point is the main bite point at the tth moment, then The value is 0.

[0121] In the above embodiment, when the patient's bite action is incorrect, some tooth surfaces will be subjected to abnormal forces, such as uneven force distribution on the tooth surfaces or even obstructed bite, which causes the teeth to slide toward adjacent teeth. If the upper and lower teeth occlude normally, ideally the bite is tight, and the force on the tooth surfaces changes steadily, the distribution of the main bite points will be relatively dispersed. When the bite is incorrect, the main bite points will deviate in a certain direction and will further deviate as the bite action proceeds. Therefore, the distribution and concentration of the occlusal center field during the bite process are analyzed. When the tooth occlusion slips, the force on the bite point will change significantly due to the displacement of the teeth, such as the original bite surface completely sliding to another tooth surface. The more consistent the slip trend of the main bite point is with the overall deviation trend, the more the overall deviation will promote the slip of the local area, which may further increase the degree of slip and cause a greater impact on other bite points. Therefore, the deviation of the main occlusal area where the main occlusal point is located from the reference curve and the size of the center evaluation are used to reflect the slip strength. The influence of the slip of the corresponding occlusal point on other occlusal points at this moment is obtained by combining the trend and the size of the slip strength. The slip influence degree can be accurately obtained. Then, the main occlusal point is used as the starting point, and the direction of the minimum distance from the center of the main occlusal area where the main occlusal point is located at each moment to the tooth surface reference curve is used as the vector direction. The slip influence degree of the main occlusal point at the moment is used as the modulus of the vector to construct the slip influence vector of the main occlusal point at the moment. The slip influence vector reflects the trend of slip deviation of the main occlusal point at the current moment. The greater the trend, the greater the impact on other occlusal points in the deviation direction. Therefore, accurate force analysis is convenient based on the slip influence vector.

[0122] In one embodiment, the slip trend includes a slip influence degree and a slip influence vector; the slip transfer trend includes a slip transfer coefficient and a main direction of slip transfer; according to the slip trend and the force transfer between the main bite points, the slip transfer trend of each target bite point at each moment is determined, including: for each target bite point at each moment, respectively, determining the angle between the line connecting each main bite point to the target bite point and the slip influence vector of the main bite point, and obtaining the action angle of each main bite point on the target bite point; according to the bite transfer coefficient and action angle of each main bite point on the target bite point, and the slip influence degree of each main bite point, determining the slip transfer coefficient of the target bite point at the moment; according to the action angle of each main bite point on the target bite point, and the slip influence vector of each main bite point, determining the main direction of slip transfer of the target bite point at the moment.

[0123] Among them, the range of the angle between the main bite point and the target bite point is The smaller the action angle, the more direct the effect of the slip effect of the primary bite point on the target bite point. When the action angle is greater than 90°, it means that the direction of the slip effect of the primary bite point is opposite to the direction of the target bite point, and the slip effect of the primary bite point will not cause an increase in the force on the target bite point.

[0124] In one embodiment, the slip transfer coefficient of the target bite point is positively correlated with the bite transfer coefficients of each primary bite point on the target bite point and the slip influence of each primary bite point. The slip transfer coefficient of the target bite point is negatively correlated with the angle of action of the primary bite point on the target bite point.

[0125] In one embodiment, for each target bite point at each moment, the product of the bite transfer coefficient of each main bite point on the target bite point at that moment, the cosine value of the action angle, and the slip influence degree is calculated, and the products corresponding to each main bite point are summed to obtain the slip transfer coefficient of the target bite point at that moment.

[0126] In one embodiment, the slip transfer coefficient of the target bite point can be determined according to the following formula:

[0127]

[0128] in, represents the slip transfer coefficient of the rth target bite point at the tth moment. It represents the occlusal transfer coefficient of the mth main occlusal point to the rth target occlusal point at the tth moment. It represents the angle between the mth main bite point and the rth target bite point at the tth moment. It represents the slip influence of the mth main bite point at the tth moment. Represents the ReLU function, the expression of which is , use this function to filter out the cases where the action angle is greater than 90°. Indicates the number of major bite points.

[0129] In one embodiment, for each target occlusion point at each moment, the main occlusion point with an action angle less than 90° (i.e., a cosine value greater than 0) is determined as the target main occlusion point based on the cosine value of the action angle of each main occlusion point on the target occlusion point at that moment. The slip influence vectors corresponding to each target main occlusion point are added to obtain the vector sum, and the direction of the vector sum is used as the main slip transmission direction of the target occlusion point at that moment.

[0130] In the above embodiment, for each target bite point at each moment, the angle between the line connecting each main bite point to the target bite point and the slip influence vector of the main bite point is determined, and the action angle of each main bite point on the target bite point is obtained, which can accurately measure the effect of the slip influence of the main bite point on the target bite point. According to the bite transfer coefficient and action angle of each main bite point on the target bite point, and the slip influence degree of each main bite point, the slip transfer coefficient of the target bite point at the moment can be accurately determined. Finally, according to the action angle of each main bite point on the target bite point, and the slip influence vector of each main bite point, the main slip transfer direction of the target bite point at the moment can be accurately determined.

[0131] In one embodiment, the slip trend includes a slip influence degree; the slip transfer trend includes a slip transfer coefficient and a slip transfer main direction; according to the slip trend and slip transfer trend of the target bite point at each moment, the shape control coefficient of the adjacent voxels of the target bite point on the transparent bracket is determined, including: for each adjacent voxel of each target bite point on the transparent bracket, according to the slip influence degree of the target bite point at each moment, and the slip transfer coefficient corresponding to each target slip transfer main direction passing through the adjacent voxel in the slip transfer main direction of the target bite point at each moment, the shape control coefficient of the adjacent voxel is determined.

[0132] The target slip transfer main direction refers to the slip transfer main direction of the target bite point at each moment that passes through the adjacent voxels.

[0133] In one embodiment, for each adjacent voxel of each target occlusion point on the transparent support, the average value of the slip influence of the target occlusion point at each moment is determined, and the shape control coefficient of the adjacent voxel is determined based on the average value and the slip transfer coefficient corresponding to each target slip transfer main direction passing through the adjacent voxel in the slip transfer main direction of the target occlusion point at each moment.

[0134] In one embodiment, the slip transfer coefficients corresponding to each target slip transfer main direction passing through the adjacent voxels may be summed, and then the shape control coefficient of the adjacent voxels may be determined based on the sum of the summation result and the average value. The formula is as follows:

[0135]

[0136] in, Represents the shape control coefficient of the yth neighboring voxel of the voxel where the rth target occlusion point is located. It represents the average value of the slip influence of the rth target occlusal point at each moment during the occlusion process. represents the slip transfer coefficient corresponding to the nth target slip transfer main direction passing through the yth adjacent voxel. It represents the number of target slip transfer main directions that pass through the yth neighboring voxel of the voxel where the rth target bite point is located. represents the linear normalization function.

[0137] Figure 5 This is a schematic diagram of the target slip propagation principal direction passing through adjacent voxels. Each square in the figure represents a voxel on the transparent support. The square containing r represents the voxel where the target occlusion point is located, and the four surrounding squares represent the voxels adjacent to the target occlusion point. The arrows in the figure indicate the target slip propagation principal direction at each moment. The numbers in the squares corresponding to adjacent voxels in the figure indicate the number of target slip propagation principal directions passing through that voxel. For example, there is one slip propagation principal direction passing through the top voxel in the figure, so the number in the top voxel is 1.

[0138] In the above embodiment, since slippage in a certain direction indicates insufficient resistance in that direction, the transparent support is used to adjust its shape to minimize slippage. Based on the slippage of the target bite point itself and the slip transfer it receives, the shape control coefficients of adjacent voxels can be accurately determined.

[0139] In one embodiment, the processor runs the executable program code and further implements the following steps: determining the adjusted height value of the corresponding voxel on the transparent support based on the shape control coefficient of each adjacent voxel of each target occlusion point; the adjusted height value is used as the target adjustment value to adjust the height of the corresponding voxel on the transparent support.

[0140] It can be understood that by determining the shape control coefficients of adjacent voxels based on each target occlusion point, each voxel on the transparent support obtains multiple shape control coefficients. For each voxel, the shape control coefficients corresponding to that voxel can be averaged to obtain the final shape control coefficient for that voxel. Based on the final shape control coefficients corresponding to each voxel, the adjusted height value of each voxel is determined.

[0141] In one embodiment, the adjusted height value of a voxel may be determined according to the following formula:

[0142]

[0143] in, Indicates the adjusted height value of the voxel. Indicates the system preset learning rate, for example: it can be set to . Represents the final shape control coefficient of the voxel. Indicates the height value of the voxel before adjustment.

[0144] In the above embodiment, the shape of the denture bracket model is adjusted based on the shape control coefficient, and the bracket height is increased to hinder possible tooth slippage, thereby dispersing the force on the denture and slowing down the wear of the denture.

[0145] In one embodiment, the processor runs the executable program code and also implements the following steps: after adjusting the height of the voxel on the transparent bracket, returning to execute according to the force conditions of the teeth during occlusion when the partial denture and the transparent bracket are installed, screening the effective occlusion point and subsequent steps to determine a new shape control coefficient, and adjusting the transparent bracket again based on the new shape control coefficient.

[0146] In the above embodiment, since adjusting the denture framework may change the patient's bite habits, the occlusal relationship and force conditions at each occlusal point in the mouth may also change. During subsequent use, the force conditions at the occlusal points are re-analyzed to identify areas with potential slippage issues, calculate the shape control coefficient, and further optimize and adjust these areas. This enables dynamic prediction and adjustment of the occlusal relationship of the transparent partial denture framework.

[0147] After obtaining the optimized results for the transparent denture framework, the framework is processed based on these results. During the fabrication process, various processing parameters are monitored in real time to facilitate adjustments to achieve the desired results. During the fabrication process, various treatment methods are employed to optimize the surface finish and transparency of the transparent framework while minimizing performance degradation.

[0148] The technical requirements for the various processing parameters of a single transparent bracket are as follows: the dimensional deviation of the transparent bracket is ≤±0.3mm; the surface roughness of the bracket Ra is ≤0.8μm; the production cycle of a single transparent bracket is ≤4h, and the production cycle refers to the entire process from modeling to finished product; the processing time of a single transparent bracket is ≤30min, and the processing content includes polishing, sandblasting, etc.

[0149] See Figure 6 , is a schematic diagram of the overall process of the steps implemented by the dynamic prediction system for the occlusal relationship of the partial denture transparent bracket in each embodiment of the present invention, including the following steps: collecting the forces during the occlusion process; preliminarily screening the effective force points (i.e., effective occlusal points); analyzing the overall occlusal deviation; analyzing the slip of each occlusal point; analyzing the slip transmission at the denture; and determining the shape control coefficient.

[0150] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0151] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the scope of the present application, and all such modifications and improvements fall within the scope of protection of the present application.

[0152] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0153] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A dynamic prediction system for occlusal relationship of a partial denture transparent bracket, characterized in that: The system includes a memory and a processor; the memory stores executable program code; the processor runs the executable program code to implement the following steps: Screening effective occlusal points according to the stress conditions during tooth occlusion when the partial denture and the transparent bracket are installed; the effective occlusal points are occlusal points with poor stress; Determine the main bite point at each moment according to the force magnitude and force superposition of each effective bite point at each moment; determining the slip trend of each of the main bite points at each moment; Determining the slip transfer trend of each target occlusal point at each moment based on the slip trend and the force transfer between the main occlusal points; the target occlusal point is the main occlusal point on the partial denture; According to the slip trend and the slip transfer trend of the target occlusion point at each moment, a shape control coefficient of adjacent voxels of the target occlusion point on the transparent support is determined.

2. The dynamic prediction system for occlusal relationship of a partial denture transparent framework according to claim 1, characterized in that: The effective occlusal points are screened based on the force conditions during tooth occlusion when the partial denture and the transparent bracket are installed, including: Determining the force effectiveness of each occlusal point according to the force applied to each occlusal point at each moment during the tooth occlusion process with the partial denture and the transparent bracket installed; the force effectiveness is the poor force application condition of the occlusal point; According to the force effectiveness of each bite point, effective bite points are selected from the bite points.

3. The dynamic prediction system for occlusal relationship of a partial denture transparent framework according to claim 2, characterized in that: Determining the force effectiveness of each occlusal point according to the force magnitude of each occlusal point at each moment during the tooth occlusion process when the partial denture and the transparent bracket are installed includes: For each occlusal point during tooth occlusion with a partial denture and a transparent bracket installed, the force effectiveness of the occlusal point is determined based on the maximum force at the occlusal point and the force difference between the occlusal point and the average force of the surrounding occlusal points.

4. The dynamic prediction system for occlusal relationship of a partial denture transparent framework according to claim 2, characterized in that: Determining the main bite point at each moment based on the force magnitude and force superposition of each effective bite point at each moment includes: Determining the bite transfer coefficient between the effective bite points at each moment according to the distance between the effective bite points and the force difference at each moment; For each effective bite point at each moment, determine a central evaluation of the effective bite point at that moment based on the force applied to the effective bite point at that moment, the bite transfer coefficient of the effective bite point to each of the surrounding effective bite points, and the force applied to each of the surrounding effective bite points and the force effectiveness; The main bite point at each moment is determined based on the central evaluation of each effective bite point at each moment.

5. The dynamic prediction system for occlusal relationship of a partial denture transparent framework according to claim 4, characterized in that: Determining the main occlusion point at each moment based on the central evaluation of each effective occlusion point at each moment includes: For each moment, clustering the central evaluations of the effective bite points at the moment to obtain two clusters; Determine the cluster with the larger average value of the center evaluation as the target cluster; The outlier valid bite points are removed from the valid bite points in the target cluster, and the remaining valid bite points in the target cluster are used as the main bite points at the moment.

6. The dynamic prediction system for occlusal relationship of a partial denture transparent framework according to claim 4, characterized in that: The slip trend includes a slip influence degree and a slip influence vector; Determining the slip trend of each of the main bite points at each moment includes: determining a plurality of main occlusal areas formed by the main occlusal points; For each moment, respectively, according to the deviation of each of the main occlusal areas relative to the tooth surface reference curve at the moment, determine the overall deviation coefficient at the moment; For each primary occlusal point at each moment, determine the slip influence of the primary occlusal point at that moment based on the overall deviation coefficient at that moment, the center evaluation of the primary occlusal point at that moment, the time interval since the primary occlusal point was last used as the primary occlusal point, and the position of the primary occlusal point in the primary occlusal area; Taking the main bite point as the starting point, the direction of the minimum distance from the center of the main bite area where the main bite point is located at each moment to the tooth surface reference curve is used as the vector direction, and the slip influence degree of the main bite point at the moment is used as the modulus of the vector, the slip influence vector of the main bite point at the moment is constructed.

7. The dynamic prediction system for occlusal relationship of a partial denture transparent framework according to claim 4, characterized in that: The slip trend includes a slip influence degree and a slip influence vector; the slip transfer trend includes a slip transfer coefficient and a slip transfer main direction; Determining the slip transfer trend of each target bite point at each moment based on the slip trend and the force transfer between the main bite points includes: For each target bite point at each moment, respectively, determine the angle between the line connecting each main bite point to the target bite point and the slip influence vector of the main bite point, to obtain the action angle of each main bite point on the target bite point; Determining the slip transfer coefficient of the target occlusal point at the moment according to the occlusal transfer coefficient and the action angle of each of the main occlusal points on the target occlusal point, and the slip influence of each of the main occlusal points; The main slip transmission direction of the target bite point at the moment is determined according to the action angle of each main bite point on the target bite point and the slip influence vector of each main bite point.

8. The dynamic prediction system for occlusal relationship of a partial denture transparent framework according to claim 1, characterized in that: The slip trend includes a slip influence degree; the slip transmission trend includes a slip transmission coefficient and a slip transmission main direction; Determining the shape control coefficient of the adjacent voxels of the target occlusion point on the transparent support according to the slip trend and the slip transfer trend of the target occlusion point at each moment includes: For each adjacent voxel of each target bite point on the transparent bracket, the shape control coefficient of the adjacent voxel is determined according to the slip influence degree of the target bite point at each moment and the slip transfer coefficient corresponding to each target slip transfer main direction passing through the adjacent voxel in the slip transfer main direction of the target bite point at each moment.

9. The dynamic prediction system for occlusal relationship of a partial denture transparent framework according to any one of claims 1 to 8, characterized in that: The processor runs the executable program code and further implements the following steps: determining, according to the shape control coefficient of each adjacent voxel of each target occlusion point, an adjusted height value of a corresponding voxel on the transparent support; The adjusted height value is used as a target adjustment value to adjust the height of the corresponding voxel on the transparent support.

10. The dynamic prediction system for occlusal relationship of a partial denture transparent framework according to claim 9, characterized in that: The processor runs the executable program code and further implements the following steps: After adjusting the height of the voxels on the transparent bracket, return to the step of screening the effective occlusion point and subsequent steps based on the force conditions of the teeth during occlusion when the partial denture and the transparent bracket are installed to determine a new shape control coefficient, and adjust the transparent bracket again based on the new shape control coefficient.

Images