Dental restoration customization system combining 3D printing with digital modeling

Abstract

The invention discloses a dental restoration customization system combining 3D printing with digital modeling, and particularly relates to the technical field of digital modeling, the dental restoration customization system comprises an oral cavity scanning module, a data fusion module, an occlusion mechanical analysis module, a restoration optimization module, a 3D printing module and a feedback monitoring module, the digital model is generated and transmitted to the data fusion module, the data fusion module integrates oral cavity scanning, medical records and dental data to form a personalized oral cavity digital model, and the occlusion mechanical analysis module collects occlusion data, analyzes stress distribution and feeds back the stress distribution to the prosthesis optimization module. The dental restoration optimization module adjusts the design of the restoration according to the oral cavity structure and the occlusion relationship of the patient, the 3D printing module performs high-precision printing according to the optimization design to generate a personalized dental restoration, and the feedback monitoring module monitors the comfort of the restoration through a pressure sensor and feeds back a result to the restoration optimization module for real-time adjustment. And the optimal performance and comfort of the prosthesis are ensured.

Description

Technical Field

[0001] This invention relates to the field of digital modeling technology, and more specifically, to a custom dental prosthesis system that combines 3D printing with digital modeling. Background Technology

[0002] In the context of customized dental prosthesis systems, multimodal data includes the patient's 3D oral scan data, medical images, the patient's historical dental health records, and the patient's occlusal force data. By integrating these different types of data, it is possible to comprehensively understand the patient's oral structure and functional needs from multiple dimensions, thereby helping dentists to design personalized dental prostheses more accurately.

[0003] In existing technologies, considering the individual differences in oral structure and tooth morphology among patients during dental restoration, traditional prosthesis design methods often rely on standard templates or simple manual adjustments. However, this approach may not fully consider each patient's unique physiological needs and dental function, potentially leading to ill-fitting or functionally incomplete restorations. Current technologies typically generate digital models of the patient's oral cavity using 3D scanning technology; however, during model generation, the handling of some complex oral structures and missing tooth areas may not be precise enough, failing to effectively simulate the optimal restoration plan. Therefore, existing technologies have not fully solved the problem of how to accurately generate high-precision, highly functional, and comfortable customized restorations that combine the patient's individual needs. Summary of the Invention

[0004] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide a 3D printing combined with digital modeling dental restoration customization system to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a dental prosthesis customization system combining 3D printing and digital modeling, comprising an oral cavity scanning module, a data fusion module, an occlusal mechanics analysis module, a prosthesis optimization module, a 3D printing module, and a feedback monitoring module; The oral cavity scanning module collects three-dimensional data of the patient's oral cavity, generates a digital oral cavity model, and transmits it to the data fusion module. The data fusion module includes multiple data input interfaces, which receive multi-source information from the oral scanning module and the patient's medical records, integrate the data, and form a complete personalized oral digital model. The occlusal mechanics analysis module collects the patient's occlusal pressure and contact surface data, performs dynamic analysis based on the collected occlusal force information, simulates the stress distribution during the occlusal process, and feeds it back to the prosthesis optimization module. The prosthesis optimization module adjusts the shape of the prosthesis according to the patient's oral structure and occlusal relationship, and adjusts the prosthesis in conjunction with the results of the occlusal mechanics analysis module; The 3D printing module is connected to the restoration optimization module, and prints with high precision according to the optimized restoration design to generate personalized dental restorations. The feedback monitoring module monitors the patient's comfort level after using the prosthesis through a pressure sensor, and feeds the monitoring results back to the prosthesis optimization module for real-time adjustment of the prosthesis performance.

[0006] Preferably, as a preferred embodiment of the 3D printing combined with digital modeling dental prosthesis customization system of the present invention, it includes an oral scanning module that collects three-dimensional data of the patient's oral cavity, generates a digital oral model, and transmits it to a data fusion module, specifically including: A 3D dental scanner is used to collect 3D coordinate data of various locations within the patient's oral cavity. The scanner's laser captures the coordinates of each reflective point in the oral cavity, and each scanned point forms a 3D coordinate point in space, creating a point cloud dataset. ,in, The three-dimensional coordinates of the scanned points are represented by n, which is the number of points scanned. Multiple scans are performed to obtain multiple point cloud datasets. The acquired point cloud data undergoes noise removal and missing region filling preprocessing. Point cloud registration is performed using the ICP algorithm. Further steps include: Represent the two point cloud datasets as P and Q, respectively. For each point... Find its nearest point By minimizing the objective function The optimal transformation matrix T is calculated using the following formula: ,in, It is the transformed point. These are the corresponding points after registration. Represents the Euclidean distance between points; The processed point cloud data is reconstructed using Poisson surface reconstruction to generate a surface mesh, which is then used to reconstruct the oral cavity model. The basic mathematical expression of Poisson surface reconstruction is as follows: ,in, It is a solution to the Poisson equation, where f is the density function of the point cloud. The three-dimensional surface is obtained and constructed using numerical methods. ; A meshing algorithm is used to generate the mesh structure of the 3D model. Triangular meshes are used to represent the 3D surface, and the vertices of each triangle are... For a point in three-dimensional space, a mesh is represented as a series of triangular faces: ,in, These are the three vertices of a triangle, and M represents the grid structure composed of all the triangular faces; The generated digital oral model is transmitted to the data fusion module via a standard data transmission protocol for subsequent processing, analysis, and optimization.

[0007] Preferably, as a preferred embodiment of the 3D printing combined with digital modeling dental prosthesis customization system of the present invention, the data fusion module includes multiple data input interfaces, which respectively receive multi-source information from the oral cavity scanning module and the patient's medical records, integrate the data, and form a complete personalized oral digital model, specifically including: The system receives multi-source data via a data input interface, including oral scan data, patient medical records, and dental professional data. The oral scan data includes three-dimensional point cloud data of the patient's oral cavity, represented as... and oral cavity scan data Denoising and repairing missing data are performed, among which, Represents the three-dimensional coordinates of the scanned point; The patient's medical records include the patient's medical history, oral disease information, and dental health status, represented as a vector. Regarding patient medical records Standardization processes are performed to convert medical record data into a unified format and fill in missing clinical information. These are the patient's health indicators; The dental professional data includes dentists' professional diagnoses, treatment recommendations, and other oral health-related data, represented as follows: Data on dental professionals The dataset is structured to ensure it can interface with other datasets. This indicates data and information related to dental treatment plans, tooth structure, and occlusion. Multiple input data are fused using a neural network model, and the network learns from the input data using the following network structure: ,in, It is a deep learning model. The final output after fusion contains personalized oral model data for the patient, and is derived from the fused data using Poisson reconstruction. The specific formula for restoring the oral cavity surface is as follows: By solving the Poisson equation, the three-dimensional oral surface of the patient can be finally reconstructed. .

[0008] Preferably, as a preferred embodiment of the 3D printing combined with digital modeling dental prosthesis customization system of the present invention, the occlusal mechanics analysis module collects the patient's occlusal pressure and contact surface data, performs dynamic analysis based on the collected occlusal force information, simulates the stress distribution during the occlusal process, and feeds it back to the prosthesis optimization module, specifically including: The patient's biting pressure was collected using a bite sensor. and contact surface data , indicating different positions The pressure values ​​and contact conditions are simulated using the finite element method to assess the stress distribution on the tooth contact surface during patient occlusion, evaluating the pressure and stress concentration in each area, and further including: Based on the patient's oral digital model and occlusal contact surface data A finite element model of tooth contact in the oral cavity is established in the computer, and each contact surface is divided into several small elements. The nodes of each element can obtain stress and displacement data. Based on pressure data collected by the bite sensor When an external force is applied to a finite element model, the nodes of the model undergo displacement and stress under the action of the external force. The formula is as follows: Where F is the external force, It is the location of the contact point. Pressure This is the area of ​​the contact surface; The stress distribution is solved using the finite element method, and the stress values ​​of each element are obtained. The calculation results are then plotted as a stress distribution diagram, such as... Figure 2 As shown in the figure, the high-stress area is the part that needs to be optimized in the design of the dental restoration. The specific formula is as follows: ,in, It is a location The stress at the point, where E is the elastic modulus of the material. It is a location Strain at the point, This is the maximum stress value during the simulation. It is the stress value of each element. This represents the total number of elements. After the stress distribution simulation is completed, the results will be fed back to the repair optimization module.

[0009] Preferably, as a preferred embodiment of the 3D printing combined with digital modeling dental prosthesis customization system of the present invention, the prosthesis optimization module adjusts the shape of the prosthesis according to the patient's oral structure and occlusal relationship, and adjusts the prosthesis in conjunction with the results of the occlusal mechanics analysis module, specifically including: The shape, position and relative relationship of the patient's teeth are obtained by using a digital model of the oral cavity. The occlusal contact surface and pressure data provided by the occlusal mechanics analysis module are used as input to obtain the specific pressure and contact position of the patient under different occlusal states. By screening out significant high pressure points, high stress areas are obtained. Based on data from high-stress areas, the contact surfaces and angles of the prosthesis were adjusted to optimize the distribution of occlusal contact surfaces. This was verified using finite element analysis until the optimal effect was achieved. This ensured effective reduction of pressure in high-stress areas and guaranteed patient comfort under different occlusal states. Further steps included: Based on the location of high-stress areas, optimize the surface shape of the restoration in contact with the tooth, and dynamically adjust the tilt angle of the restoration. The specific formula is as follows: ,in, The angle that needs to be adjusted for the restoration. It is the angle adjustment coefficient. This is the current stress value at the high-stress point. It is the global maximum stress value. , representing the target stress threshold, It is the ratio of tangential force to normal force; The pressure at the engagement point is reduced by adjusting the curvature to distribute the contact pressure. The specific formula is as follows: ,in, It is the curvature sensitivity coefficient. It is the stress gradient vector. It is the average stress of the restoration. It is the optimized curvature. It is the original curvature; Finite element analysis was performed again on the adjusted shape and occlusal surface of the prosthesis to simulate the stress distribution of the prosthesis under different occlusal states, to verify whether the high stress area was effectively optimized, and to see whether the adjusted prosthesis could reduce pressure concentration and ensure patient comfort. It is connected to a feedback monitoring module, and the design of the prosthesis is continuously adjusted and its functionality is optimized based on the comfort data provided by the feedback monitoring module until the best comfort is achieved.

[0010] Preferably, as a preferred embodiment of the 3D printing combined with digital modeling dental prosthesis customization system of the present invention, it includes a 3D printing module connected to a prosthesis optimization module, performing high-precision printing based on the optimized prosthesis design drawing to generate a personalized dental prosthesis, specifically including: The optimized restoration model is converted into a printable format, and each surface of the restoration is represented by point cloud data, which is a three-dimensional surface equation: ,in, It is the surface equation of the restoration, representing the surface of the restoration; During the 3D printing process, based on the input design drawings and slicing data, the printer builds the restoration layer by layer, slicing each layer into several small two-dimensional point sets. For each point, its three-dimensional coordinate position and corresponding printing path are recorded, and the printing paths of each layer are connected from point to point to form line segments. After printing is completed, finite element analysis is used to verify the stress distribution of the restoration, resulting in a personalized dental restoration. The printed restoration model is compared with the optimized design model. The difference between the two models at each point is calculated to quantify the 3D printing accuracy, reflecting the errors during the printing process. The printed restoration model is represented as... The optimized prosthesis model is represented as follows: Each model consists of multiple point cloud data. and This indicates that the 3D printing accuracy can be obtained through an error formula. Where s is the total number of points in the point cloud data. It is the b-th point in the printed restoration model. It is the b-th point in the optimized repair model.

[0011] Preferably, as a preferred embodiment of the 3D printing combined with digital modeling dental prosthesis customization system of the present invention, the feedback monitoring module monitors the patient's comfort after using the prosthesis through a pressure sensor, and feeds the monitoring results back to the prosthesis optimization module for real-time adjustment of the prosthesis performance, specifically including: A miniature pressure sensor array is embedded in the occlusal surface of the prosthesis to monitor the contact pressure of the prosthesis within the patient's oral cavity. The pressure distribution is calculated based on the pressure values ​​from multiple sensors, yielding a comfort function. ,in, It is a sensor The measured pressure, It refers to the number of pressure sensors. By constructing a sensitivity function, each spatial point in the oral cavity is mapped to a sensitivity value, and the sensors are... The location and sensitivity function are combined to dynamically generate comfort weights for each sensor. ; The comfort level is fed back to the prosthesis optimization module, which adjusts the prosthesis design to improve comfort.

[0012] On the other hand, the present invention provides a computer device including a memory and a processor, wherein the memory stores a computer program, wherein when the computer program is executed by the processor, it implements the functional modules of a 3D printing combined with digital modeling dental prosthesis customization system as described above.

[0013] On the other hand, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements the functional modules of a 3D printing combined with digital modeling dental prosthesis customization system as described above.

[0014] The technical effects and advantages provided by the present invention in the above technical solution are as follows: Through the oral scanning module and data fusion module, the system can acquire three-dimensional oral data and multi-source information from patients to generate a complete personalized digital oral model. This ensures that the prosthesis matches the oral structure of each patient. The occlusal mechanics analysis module collects data on the patient's occlusal pressure and contact surfaces to simulate the stress distribution during occlusion, providing crucial biomechanical data support for prosthesis design. Combined with feedback from the occlusal mechanics analysis module, the prosthesis optimization module can adjust the shape and function of the prosthesis in real time, optimizing its design to better meet the patient's actual needs and enhance its long-term suitability and comfort. This invention, through the combination of digital modeling and 3D printing technology, can effectively reduce human error in the traditional dental prosthesis fabrication process, improve treatment efficiency, shorten the prosthesis fabrication and adjustment cycle, and enhance the patient's treatment experience. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0016] Figure 1 This is a flowchart of the method of the present invention.

[0017] Figure 2 This is a diagram showing the distribution of occlusal stress in teeth.

[0018] Figure 3 This is a rating chart for comfort during occlusion.

[0019] Table 1 is a data recording table of the simulation experiment of this invention. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0022] In the description of this application, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0023] Example 1 This embodiment provides, for example Figure 1 The system shown is a dental prosthesis customization system combining 3D printing and digital modeling, which specifically includes an oral cavity scanning module, a data fusion module, an occlusal mechanics analysis module, a prosthesis optimization module, a 3D printing module, and a feedback monitoring module. The oral cavity scanning module collects three-dimensional data of the patient's oral cavity, generates a digital oral cavity model, and transmits it to the data fusion module. The data fusion module includes multiple data input interfaces, which receive multi-source information from the oral scanning module and the patient's medical records, integrate the data, and form a complete personalized oral digital model. The occlusal mechanics analysis module collects the patient's occlusal pressure and contact surface data, performs dynamic analysis based on the collected occlusal force information, simulates the stress distribution during the occlusal process, and feeds it back to the prosthesis optimization module. The prosthesis optimization module adjusts the shape of the prosthesis according to the patient's oral structure and occlusal relationship, and adjusts the prosthesis in conjunction with the results of the occlusal mechanics analysis module; The 3D printing module is connected to the restoration optimization module, and prints with high precision according to the optimized restoration design to generate personalized dental restorations. The feedback monitoring module monitors the patient's comfort level after using the prosthesis through a pressure sensor, and feeds the monitoring results back to the prosthesis optimization module for real-time adjustment of the prosthesis performance.

[0024] In this embodiment, the oral cavity scanning module is specifically described. This module acquires three-dimensional data of the patient's oral cavity, generates a digital oral cavity model, and transmits it to the data fusion module. Specifically, it includes: A 3D dental scanner is used to collect 3D coordinate data of various locations within the patient's oral cavity. The scanner's laser captures the coordinates of each reflective point in the oral cavity, and each scanned point forms a 3D coordinate point in space, creating a point cloud dataset. ,in, The three-dimensional coordinates of the scanned points are represented by n, which is the number of points scanned. Multiple scans are performed to obtain multiple point cloud datasets. The acquired point cloud data undergoes noise removal and missing region filling preprocessing. Point cloud registration is performed using the ICP algorithm. Further steps include: Represent the two point cloud datasets as P and Q, respectively. For each point... Find its nearest point By minimizing the objective function The optimal transformation matrix T is calculated using the following formula: ,in, It is the transformed point. These are the corresponding points after registration. Represents the Euclidean distance between points; The processed point cloud data is reconstructed using Poisson surface reconstruction to generate a surface mesh, which is then used to reconstruct the oral cavity model. The basic mathematical expression of Poisson surface reconstruction is as follows: ,in, It is a solution to the Poisson equation, where f is the density function of the point cloud. The three-dimensional surface is obtained and constructed using numerical methods. ; A meshing algorithm is used to generate the mesh structure of the 3D model. Triangular meshes are used to represent the 3D surface, and the vertices of each triangle are... For a point in three-dimensional space, a mesh is represented as a series of triangular faces: ,in, These are the three vertices of a triangle, and M represents the grid structure composed of all the triangular faces; The generated digital oral model is transmitted to the data fusion module via a standard data transmission protocol for subsequent processing, analysis, and optimization.

[0025] In this embodiment, the data fusion module is specifically described. This module includes multiple data input interfaces that receive multi-source information from the oral scanning module and patient medical records, integrate the data, and form a complete personalized oral digital model. Specifically, it includes: The system receives multi-source data via a data input interface, including oral scan data, patient medical records, and dental professional data. The oral scan data includes three-dimensional point cloud data of the patient's oral cavity, represented as... and oral cavity scan data Denoising and repairing missing data are performed, among which, Represents the three-dimensional coordinates of the scanned point; The patient's medical records include the patient's medical history, oral disease information, and dental health status, represented as a vector. Regarding patient medical records Standardization processes are performed to convert medical record data into a unified format and fill in missing clinical information. These are the patient's health indicators; The dental professional data includes dentists' professional diagnoses, treatment recommendations, and other oral health-related data, represented as follows: Data on dental professionals The dataset is structured to ensure it can interface with other datasets. This indicates data and information related to dental treatment plans, tooth structure, and occlusion. Multiple input data are fused using a neural network model, and the network learns from the input data using the following network structure: ,in, It is a deep learning model. The final output after fusion contains personalized oral model data for the patient, and is derived from the fused data using Poisson reconstruction. The specific formula for restoring the oral cavity surface is as follows: By solving the Poisson equation, the three-dimensional oral surface of the patient can be finally reconstructed. .

[0026] In this embodiment, the occlusal mechanics analysis module needs to be specifically described. This module collects the patient's occlusal pressure and contact surface data, performs dynamic analysis based on the collected occlusal force information, simulates the stress distribution during the occlusal process, and feeds it back to the prosthesis optimization module. Specifically, it includes: The patient's biting pressure was collected using a bite sensor. and contact surface data , indicating different positions The pressure values ​​and contact conditions are simulated using the finite element method to assess the stress distribution on the tooth contact surface during patient occlusion, evaluating the pressure and stress concentration in each area, and further including: Based on the patient's oral digital model and occlusal contact surface data A finite element model of tooth contact in the oral cavity is established in the computer, and each contact surface is divided into several small elements. The nodes of each element can obtain stress and displacement data. Based on pressure data collected by the bite sensor When an external force is applied to a finite element model, the nodes of the model undergo displacement and stress under the action of the external force. The formula is as follows: Where F is the external force, It is the location of the contact point. Pressure This is the area of ​​the contact surface; The stress distribution is solved using the finite element method, and the stress values ​​of each element are obtained. The calculation results are then plotted as a stress distribution diagram, such as... Figure 2 As shown in the figure, the high-stress area is the part that needs to be optimized in the design of the dental restoration. The specific formula is as follows: ,in, It is a location The stress at the point, where E is the elastic modulus of the material. It is a location Strain at the point, This is the maximum stress value during the simulation. It is the stress value of each element. This represents the total number of elements. After the stress distribution simulation is completed, the results will be fed back to the repair optimization module.

[0027] In this embodiment, the prosthesis optimization module needs to be specifically described. This module adjusts the shape of the prosthesis based on the patient's oral structure and occlusal relationship, and combines this with the results of the occlusal mechanics analysis module to further adjust the prosthesis. Specifically, this includes: The shape, position and relative relationship of the patient's teeth are obtained by using a digital model of the oral cavity. The occlusal contact surface and pressure data provided by the occlusal mechanics analysis module are used as input to obtain the specific pressure and contact position of the patient under different occlusal states. By screening out significant high pressure points, high stress areas are obtained. Based on data from high-stress areas, the contact surfaces and angles of the prosthesis were adjusted to optimize the distribution of occlusal contact surfaces. This was verified using finite element analysis until the optimal effect was achieved. This ensured effective reduction of pressure in high-stress areas and guaranteed patient comfort under different occlusal states. Further steps included: Based on the location of high-stress areas, optimize the surface shape of the restoration in contact with the tooth, and dynamically adjust the tilt angle of the restoration. The specific formula is as follows: ,in, The angle that needs to be adjusted for the restoration. It is the angle adjustment coefficient. This is the current stress value at the high-stress point. It is the global maximum stress value. , representing the target stress threshold, It is the ratio of tangential force to normal force; The pressure at the engagement point is reduced by adjusting the curvature to distribute the contact pressure. The specific formula is as follows: ,in, It is the curvature sensitivity coefficient. It is the stress gradient vector. It is the average stress of the restoration. It is the optimized curvature. It is the original curvature; Finite element analysis was performed again on the adjusted shape and occlusal surface of the prosthesis to simulate the stress distribution of the prosthesis under different occlusal states, to verify whether the high stress area was effectively optimized, and to see whether the adjusted prosthesis could reduce pressure concentration and ensure patient comfort. It connects to a feedback monitoring module and continuously adjusts the design of the prosthesis based on the comfort data provided by the module, optimizing its functionality until optimal comfort is achieved. Figure 3 As shown.

[0028] In this embodiment, the 3D printing module is specifically described. This module is connected to the restoration optimization module and performs high-precision printing based on the optimized restoration design to generate a personalized dental restoration. Specifically, it includes: The optimized restoration model is converted into a printable format, and each surface of the restoration is represented by point cloud data, which is a three-dimensional surface equation: ,in, It is the surface equation of the restoration, representing the surface of the restoration; During the 3D printing process, based on the input design drawings and slicing data, the printer builds the restoration layer by layer, slicing each layer into several small two-dimensional point sets. For each point, its three-dimensional coordinate position and corresponding printing path are recorded, and the printing paths of each layer are connected from point to point to form line segments. After printing is completed, finite element analysis is used to verify the stress distribution of the restoration, resulting in a personalized dental restoration. The printed restoration model is compared with the optimized design model. The difference between the two models at each point is calculated to quantify the 3D printing accuracy, reflecting the errors during the printing process. The printed restoration model is represented as... The optimized prosthesis model is represented as follows: Each model consists of multiple point cloud data. and This indicates that the 3D printing accuracy can be obtained through an error formula. Where s is the total number of points in the point cloud data. It is the b-th point in the printed restoration model. It is the b-th point in the optimized repair model.

[0029] In this embodiment, the feedback monitoring module is specifically described. This module monitors the patient's comfort level after using the prosthesis via a pressure sensor and feeds the monitoring results back to the prosthesis optimization module for real-time adjustment of the prosthesis's performance. Specifically, it includes: A miniature pressure sensor array is embedded in the occlusal surface of the prosthesis to monitor the contact pressure of the prosthesis within the patient's oral cavity. The pressure distribution is calculated based on the pressure values ​​from multiple sensors, yielding a comfort function. ,in, It is a sensor The measured pressure, It refers to the number of pressure sensors. By constructing a sensitivity function, each spatial point in the oral cavity is mapped to a sensitivity value, and the sensors are... The location and sensitivity function are combined to dynamically generate comfort weights for each sensor. ; The comfort level is fed back to the prosthesis optimization module, which adjusts the prosthesis design to improve comfort.

[0030] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0031] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the functional modules of a 3D printing combined with digital modeling dental prosthesis customization system as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0032] Example 2 The following is another embodiment of the present invention, which provides a dental restoration customization system combining 3D printing and digital modeling. In order to verify the beneficial effects of the present invention, a simulation experiment is conducted for scientific demonstration.

[0033] This experiment aims to verify the effectiveness of a dental prosthesis customization system based on 3D printing and digital modeling. Through data acquisition, oral model construction, occlusal mechanics analysis, prosthesis optimization, 3D printing implementation, and feedback monitoring, the experiment aims to improve the customization accuracy and patient comfort of dental prostheses. The experiment uses simulated and actual patient data, including occlusal pressure under different occlusal states, prosthesis design and printing accuracy, and comfort feedback. By analyzing the conformity between prosthesis performance and patient feedback, the accuracy and comfort of the system in dental prosthesis customization are verified. The simulation experiment steps are implemented according to the content of the 3D printing combined with digital modeling dental restoration customization system provided in Example 1, and the specific steps include: The system collects three-dimensional data of the patient's oral cavity, converts it into a digital oral model, and transmits it to the data fusion module. The data fusion module receives oral scan data, patient medical records, and dental professional data, integrates multi-source information, and generates a complete personalized oral digital model. The occlusal mechanics analysis module collects the patient's occlusal pressure and contact surface data, performs dynamic analysis, simulates the stress distribution during the occlusal process, and feeds it back to the prosthesis optimization module. In the prosthesis optimization module, the shape of the prosthesis is adjusted based on the patient's oral structure and occlusal relationship, and the functionality of the prosthesis is automatically adjusted based on the results of the occlusal mechanics analysis module. The optimized restoration design file is printed using a high-precision printing unit to generate a personalized dental restoration. During the patient's use of the prosthesis, pressure sensors monitor the patient's comfort level and transmit the data to the feedback control module in real time. The module then adjusts the prosthesis's performance in real time based on the monitoring results to optimize the patient's experience.

[0034] The specific data from the above simulation experiment are as follows: Time / minute Oral scan data Results of bite force analysis Repair design parameters 3D printing precision Comfort feedback Recommendations for prosthesis adjustment 0-5 High-precision scanning, preliminary data acquisition low bite pressure Basic prosthesis design 0.08mm Generally, initial adaptation Begin checking accuracy and adjusting pressure distribution. 5-10 High-precision scanning, model optimization Medium bite pressure Shape optimization design 1 0.07mm Generally, slightly uncomfortable Adjust the bite point and pressure sensor distribution 10-15 Further optimization of scan data High occlusal pressure, excessively high in certain areas Optimized Design 2 0.05mm Discomfort, needs optimization Optimize pressure distribution and adjust contact area 15-20 Stable scanning accuracy Moderate pressure, moderate comfort Prosthesis Design 3 0.04mm Comfort, feedback improvement Fine-tune the pressure sensor to increase flexibility 20-25 High-precision scanning, stable data Balanced bite force Repair design 4 0.03mm Comfortable and adaptable Confirm design completion and continue monitoring. 25-30 High-precision scanning, final confirmation Balanced and evenly distributed bite force Final design confirmation 0.02mm Extremely comfortable Adjusting minute areas in preparation for final verification. Table 1 Experimental Analysis: By comparing the prosthesis design of the model with patient feedback, the comfort and adaptability of the system in dental prosthesis customization were verified. The experiment showed that the dental prosthesis customization system based on 3D printing and digital modeling has high precision and reliability, can effectively improve the comfort and durability of patients' oral prostheses, and at the same time ensure that the personalized needs of the prostheses are met.

[0035] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A 3D printing combined with digital modeling system for custom dental prostheses, characterized in that: It includes a dental scanning module, a data fusion module, a occlusal mechanics analysis module, a prosthesis optimization module, a 3D printing module, and a feedback monitoring module; The oral cavity scanning module collects three-dimensional data of the patient's oral cavity, generates a digital oral cavity model, and transmits it to the data fusion module. The data fusion module includes multiple data input interfaces, which receive multi-source information from the oral scanning module and the patient's medical records, integrate the data, and form a complete personalized oral digital model. The occlusal mechanics analysis module collects the patient's occlusal pressure and contact surface data, performs dynamic analysis based on the collected occlusal force information, simulates the stress distribution during the occlusal process, and feeds it back to the prosthesis optimization module. The prosthesis optimization module adjusts the shape of the prosthesis according to the patient's oral structure and occlusal relationship, and adjusts the prosthesis in conjunction with the results of the occlusal mechanics analysis module; The 3D printing module is connected to the restoration optimization module, and prints with high precision according to the optimized restoration design to generate personalized dental restorations. The feedback monitoring module monitors the patient's comfort level after using the prosthesis through a pressure sensor, and feeds the monitoring results back to the prosthesis optimization module for real-time adjustment of the prosthesis performance.

2. The dental prosthesis customization system combining 3D printing and digital modeling according to claim 1, characterized in that: The oral cavity scanning module acquires three-dimensional data of the patient's oral cavity, generates a digital oral cavity model, and transmits it to the data fusion module, specifically including: A 3D dental scanner is used to collect 3D coordinate data of various locations within the patient's oral cavity. The scanner's laser captures the coordinates of each reflective point in the oral cavity, and each scanned point forms a 3D coordinate point in space, creating a point cloud dataset. ,in, The three-dimensional coordinates of the scanned points are represented by n, which is the number of points scanned. Multiple scans are performed to obtain multiple point cloud datasets. The acquired point cloud data undergoes noise removal and missing region filling preprocessing. Point cloud registration is performed using the ICP algorithm. Further steps include: Represent the two point cloud datasets as P and Q, respectively. For each point... Find its nearest point By minimizing the objective function The optimal transformation matrix T is calculated using the following formula: ,in, It is the transformed point. These are the corresponding points after registration. Represents the Euclidean distance between points; The processed point cloud data is reconstructed using Poisson surface reconstruction to generate a surface mesh, which is then used to reconstruct the oral cavity model. The basic mathematical expression of Poisson surface reconstruction is as follows: ,in, It is a solution to the Poisson equation, where f is the density function of the point cloud. The three-dimensional surface is obtained and constructed using numerical methods. ; A meshing algorithm is used to generate the mesh structure of the 3D model. Triangular meshes are used to represent the 3D surface, and the vertices of each triangle are... For a point in three-dimensional space, a mesh is represented as a series of triangular faces: ,in, These are the three vertices of a triangle, and M represents the grid structure composed of all the triangular faces; The generated digital oral model is transmitted to the data fusion module via a standard data transmission protocol for subsequent processing, analysis, and optimization.

3. The dental prosthesis customization system combining 3D printing and digital modeling according to claim 1, characterized in that: The data fusion module includes multiple data input interfaces, which receive multi-source information from the oral scanning module and patient medical records, integrate the data, and form a complete personalized oral digital model, specifically including: The system receives multi-source data via a data input interface, including oral scan data, patient medical records, and dental professional data. The oral scan data includes three-dimensional point cloud data of the patient's oral cavity, represented as... and oral cavity scan data Denoising and repairing missing data are performed, among which, Represents the three-dimensional coordinates of the scanned point; The patient's medical records include the patient's medical history, oral disease information, and dental health status, represented as a vector. Regarding patient medical records Standardization processes are performed to convert medical record data into a unified format and fill in missing clinical information. These are the patient's health indicators; The dental professional data includes dentists' professional diagnoses, treatment recommendations, and other oral health-related data, represented as follows: Data on dental professionals Structure it, where... This indicates data and information related to dental treatment plans, tooth structure, and occlusion. Multiple input data are fused using a neural network model, and the network learns from the input data using the following network structure: ,in, It is a deep learning model. The final output after fusion contains personalized oral model data for the patient, and is derived from the fused data using Poisson reconstruction. The specific formula for restoring the oral cavity surface is as follows: By solving the Poisson equation, the three-dimensional oral surface of the patient can be finally reconstructed. .

4. The dental prosthesis customization system combining 3D printing and digital modeling according to claim 1, characterized in that: The occlusal mechanics analysis module collects the patient's occlusal pressure and contact surface data, performs dynamic analysis based on the collected occlusal force information, simulates the stress distribution during the occlusal process, and feeds it back to the prosthesis optimization module, specifically including: The patient's biting pressure was collected using a bite sensor. and contact surface data , indicating different positions The pressure values ​​and contact conditions are simulated using the finite element method to model the stress distribution on the tooth contact surface during the patient's occlusion process, assessing the pressure and stress concentration in each area, and further including: Based on the patient's oral digital model and occlusal contact surface data A finite element model of tooth contact in the oral cavity is established in the computer, and each contact surface is divided into several small elements. The nodes of each element can obtain stress and displacement data. Based on the pressure data collected by the bite sensor When an external force is applied to a finite element model, the nodes of the model undergo displacement and stress under the action of the external force. The formula is as follows: Where F is the external force, The location of the contact point Pressure This refers to the area of ​​the contact surface; The stress distribution is solved using the finite element method, and the stress values ​​of each element are obtained. The calculation results are then plotted as a stress distribution diagram, using the following formula: ,in, It is a location The stress at the point, where E is the elastic modulus of the material. It is a location Strain at the point, This is the maximum stress value during the simulation. It is the stress value of each element. This represents the total number of elements. After the stress distribution simulation is completed, the results will be fed back to the repair optimization module.

5. The dental prosthesis customization system combining 3D printing and digital modeling according to claim 1, characterized in that: The prosthesis optimization module adjusts the shape of the prosthesis based on the patient's oral structure and occlusal relationship, and combines the results of the occlusal mechanics analysis module to adjust the prosthesis, specifically including: The shape, position and relative relationship of the patient's teeth are obtained by using a digital model of the oral cavity. The occlusal contact surface and pressure data provided by the occlusal mechanics analysis module are used as input to obtain the specific pressure and contact position of the patient under different occlusal states. By screening out significant high pressure points, high stress areas are obtained. Based on data from high-stress areas, the distribution of occlusal contact surfaces was optimized by adjusting the contact surfaces and angles of the restoration, and verified using finite element analysis until the best results were achieved. Further steps included: Based on the location of high-stress areas, optimize the surface shape of the restoration in contact with the tooth, and dynamically adjust the tilt angle of the restoration. The specific formula is as follows: ,in, The angle that needs to be adjusted for the restoration. It is the angle adjustment coefficient. This is the current stress value at the high-stress point. It is the global maximum stress value. , representing the target stress threshold, It is the ratio of tangential force to normal force; The pressure at the engagement point is reduced by adjusting the curvature to distribute the contact pressure. The specific formula is as follows: ,in, It is the curvature sensitivity coefficient. It is the stress gradient vector. It is the average stress of the restoration. It is the optimized curvature. It is the original curvature; Finite element analysis was performed again on the adjusted shape and occlusal surface of the prosthesis to simulate the stress distribution of the prosthesis under different occlusal states, to verify whether the high stress area was effectively optimized, and to see whether the adjusted prosthesis could reduce pressure concentration and ensure patient comfort. It is connected to a feedback monitoring module, and the design of the prosthesis is continuously adjusted and its functionality is optimized based on the comfort data provided by the feedback monitoring module until the best comfort is achieved.

6. The dental prosthesis customization system combining 3D printing and digital modeling according to claim 1, characterized in that: The 3D printing module is connected to the restoration optimization module, and performs high-precision printing based on the optimized restoration design to generate personalized dental restorations, specifically including: The optimized restoration model is converted into a printable format, and each surface of the restoration is represented by point cloud data, which is a three-dimensional surface equation: ,in, It is the surface equation of the restoration, representing the surface of the restoration; During the 3D printing process, based on the input design drawings and slicing data, each layer is sliced ​​into several small two-dimensional point sets. For each point, its three-dimensional coordinate position and corresponding printing path are recorded, and the printing paths of each layer are connected from point to point to form line segments. After printing is completed, finite element analysis is used to verify the stress distribution of the restoration and obtain a personalized dental restoration. The printed restoration model is compared with the optimized design model. The difference between the two models at each point is calculated to quantify the 3D printing accuracy, reflecting the errors during the printing process. The printed restoration model is represented as... The optimized prosthesis model is represented as follows: Each model consists of multiple point cloud data. and This indicates that the 3D printing accuracy can be obtained through an error formula. Where s is the total number of points in the point cloud data. It is the b-th point in the printed restoration model. It is the b-th point in the optimized repair model.

7. The dental prosthesis customization system combining 3D printing and digital modeling according to claim 1, characterized in that: The feedback monitoring module monitors the patient's comfort level after using the prosthesis via pressure sensors and feeds the monitoring results back to the prosthesis optimization module for real-time adjustment of the prosthesis performance. Specifically, this includes: A miniature pressure sensor array is embedded in the occlusal surface of the prosthesis to monitor the contact pressure of the prosthesis within the patient's oral cavity. The pressure distribution is calculated based on the pressure values ​​from multiple sensors, yielding a comfort function. ,in, It is a sensor The measured pressure, It refers to the number of pressure sensors. By constructing a sensitivity function, each spatial point in the oral cavity is mapped to a sensitivity value, and the sensors are... The location and sensitivity function are combined to dynamically generate comfort weights for each sensor. ; Comfort feedback is fed back to the prosthesis optimization module, which adjusts the prosthesis design to improve comfort.

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