CN113610956A - Method and device for characteristic matching of implant in intraoral scanning and related equipment - Google Patents
Method and device for characteristic matching of implant in intraoral scanning and related equipment Download PDFInfo
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- 239000007943 implant Substances 0.000 title claims abstract description 83
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000012360 testing method Methods 0.000 claims abstract description 53
- 238000003062 neural network model Methods 0.000 claims abstract description 28
- 238000012549 training Methods 0.000 claims abstract description 10
- 230000001131 transforming effect Effects 0.000 claims abstract description 8
- 238000004590 computer program Methods 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 9
- 230000009466 transformation Effects 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 6
- 238000013527 convolutional neural network Methods 0.000 claims description 5
- 238000003384 imaging method Methods 0.000 claims description 4
- 230000007812 deficiency Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 210000000214 mouth Anatomy 0.000 description 3
- 238000002513 implantation Methods 0.000 description 2
- 238000013101 initial test Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 239000004053 dental implant Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 210000003296 saliva Anatomy 0.000 description 1
- 210000004872 soft tissue Anatomy 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
Abstract
The embodiment of the invention provides a method for matching features of an implant in intraoral scanning, which comprises the following steps: acquiring test data of the intraoral implant; inputting the test data into a preset neural network model, and outputting standard data corresponding to the test data, wherein the neural network model is obtained by pre-training a standard data set of an implant in a standard database; transforming the output standard data to a spatial coordinate system of the test data; and taking the standard data after the space coordinate system is transformed as target data. The method can improve the image capturing efficiency of the intraoral scanner, solve the problems of incompleteness, deficiency, deviation and the like of the implant data acquired by the intraoral scanner, and improve the user experience.
Description
Technical Field
The invention relates to the technical field of oral implant restoration, in particular to a method and a device for matching implant characteristics in intraoral scanning and related equipment.
Background
Implant restoration treatment has become a treatment mode for aesthetic restoration of missing teeth, and oral implantation not only enables fixed restoration without tooth preparation for adjacent teeth, but also can keep soft and hard tissues around the implant. Because patients today not only need a permanent restorative treatment, but also need to achieve an aesthetically natural result, i.e., the restoration is difficult to discern, dental implant restorations have become a treatment option in the face of such aesthetically demanding situations.
In the field of three-dimensional measurement, the three-dimensional imaging technology has important applications in the aspects of reverse engineering, oral cavity digitization and the like. In the case process of manufacturing the implant prosthesis crown by the digital impression, the surface of the implant needs to be scanned, complete 3D point cloud data of the surface of the implant is obtained, and the digital modeling is carried out and is used for subsequent implant design.
The problem of too low precision often appears in the in-mouth implant scanning process of current scanning equipment, leads to the implant deviation of taking one's place too big very easily like this to lead to planting case to fail. The specific reasons are the following:
(1) the surface of the common implant is of a metal property, the quality of data obtained by scanning of a common scanner is poor, one-time imaging is difficult to complete, and the surface of the implant needs to be scanned repeatedly;
(2) during clinical scanning, the quality of implant data obtained by scanning is poor due to more interference data of a patient in a scanning area, such as saliva, soft tissues and the like;
(3) the implant type is complex, the data similarity is high, and the condition that the currently scanned implant is matched incorrectly is easy to happen in the scanning process.
Therefore, the above problems need to be solved.
Disclosure of Invention
The embodiment of the invention provides a method for matching features with an implant in intraoral scanning, and aims to solve the technical problem.
In a first aspect, an embodiment of the present invention provides a method for feature matching of an implant in intraoral scanning, where the method includes the following steps:
acquiring test data of the intraoral implant;
inputting the test data into a preset neural network model, and outputting standard data corresponding to the test data, wherein the neural network model is obtained by pre-training a standard data set of an implant in a standard database;
transforming the output standard data to a spatial coordinate system of the test data;
and taking the standard data after the space coordinate system is transformed as target data.
Preferably, the step of acquiring test data of the intraoral implant comprises:
and scanning and acquiring 3D data of the intraoral implant by using an intraoral scanner to serve as the test data.
Preferably, the neural network model is a 3D point cloud processing model, and the standard data set is a 3D point cloud data set of the implant.
Preferably, the 3D point cloud processing model is any one of PointNet + +, KCNet, SO-Net, PointCNN, A-CNN and PointConv.
In a second aspect, the present invention also provides an apparatus for feature matching an implant in intraoral scanning, the apparatus comprising:
the data acquisition module is used for acquiring test data of the intraoral implant;
the intelligent matching module is used for inputting the test data into a preset neural network model and outputting standard data corresponding to the test data, wherein the neural network model is obtained by pre-training a standard data set of an implant in a standard database;
the space transformation module is used for transforming the output standard data into a space coordinate system of the test data;
and the data updating module is used for taking the standard data after the space coordinate system is transformed as target data.
Preferably, the data acquisition module includes:
and the 3D data acquisition unit is used for acquiring the 3D data of the intraoral implant as the test data by scanning and imaging through the intraoral scanner.
Preferably, the neural network model is a 3D point cloud processing model, and the standard data set is a 3D point cloud data set of the implant.
Preferably, the 3D point cloud processing model is any one of PointNet + +, KCNet, SO-Net, PointCNN, A-CNN and PointConv.
In a third aspect, the present invention also provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor when executing the computer program implementing the steps in the method of feature matching an implant in an intraoral scan as described in any one of the above.
In a fourth aspect, the present invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of feature matching an implant in an intraoral scan as described in any one of the above.
In the embodiment of the invention, the intraoral initial test data is obtained and input into the preset neural network model, and the neural network model is obtained by pre-training the standard data set of the implant in the standard database, so that the optimal matched standard data can be output based on the input of the test data, and the standard data can be transformed into the space of the test data through the space to replace the test reality as the target data. According to the embodiment of the invention, the problem of implant data missing during intraoral scanning is solved by matching the test data with the standard data, and the image taking efficiency of an operator using an intraoral scanner is improved. Meanwhile, based on the method, the speed of acquiring the data in the mouth is higher, and the use experience of a client is improved. Moreover, the data based on the obtained intraoral implant is more accurate, which is more beneficial to the design of the prosthesis and ensures the matching with the adjacent teeth and the pair of jaw teeth.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without any creative effort.
FIG. 1 is a flow chart of a method for feature matching an implant in intraoral scanning provided by an embodiment of the present invention;
FIG. 2 is a schematic diagram of one embodiment of a method for feature matching an implant in an intraoral scan in accordance with an embodiment of the present invention;
FIG. 3 is a 3D data (incomplete, missing) of an intraoral scan acquired in an embodiment of the present invention;
FIG. 4 is the complete 3D data acquired after the matching, seating operation in an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of an apparatus for feature matching implant in intraoral scanning according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of a method for feature matching an implant in intraoral scanning according to an embodiment of the present invention, the method including the following steps:
The intraoral implant is a standard implant implanted into an intraoral area of a client in advance, 3D model data of the standard implant is standard data, different standard implants have different 3D model data, and a standard data set of the standard implant is stored in a standard database. In the embodiment of the present invention, as shown in fig. 2, the test data of the intraoral implant may be acquired by an intraoral scanner, and the test data is 3D point cloud data. Fig. 3 shows test data acquired by an intraoral scanner, which is affected by intraoral implantation conditions, as missing, incomplete, and possibly even biased data.
And 102, inputting the test data into a preset neural network model, and outputting standard data corresponding to the test data, wherein the neural network model is obtained by pre-training a standard data set of an implant in a standard database.
Specifically, as shown in fig. 2, the acquired test data of the implant are input into a preset neural network model, and the neural network model outputs standard data matched with the test data after calculation such as feature extraction, recognition and matching, and the standard data can represent 3D model data of the implant. In this embodiment, the preset neural network model is a trained neural network model, and the training set is a standard data set of the implant in the standard database. The neural network model is a 3D point cloud data processing model, and can be any one of PointNet + +, KCNet, SO-Net, PointCNN, A-CNN and PointConv.
And 103, transforming the output standard data to a space coordinate system of the test data.
The coordinate system of the standard data output by the neural network model is different from the coordinate system of the test data, so that the standard data needs to be expressed in the oral 3D model data, and the standard data needs to be spatially transformed. As shown in fig. 2, the transformation of the output standard data into the spatial coordinate system of the test data, i.e. the spatial in-place process, specifically, the transformation of the three-dimensional coordinates of the output standard data into the spatial coordinate system of the test data may be implemented by a model transformation matrix.
And 104, taking the standard data after the space coordinate system is transformed as target data.
After the standard data are subjected to space transformation, the standard data are used for replacing test data to serve as target data, so that 3D model data of the intraoral implant can be accurately expressed, and the problems of incompleteness, deficiency and deviation of the implant 3D model data acquired by the intraoral scanner are solved. As shown in fig. 4, the target data obtained by spatially transforming the standard data into the spatial coordinate system of the test data and replacing the test data is the complete data of the standard implant, and the problem of data deviation is solved.
In the embodiment of the invention, the intraoral initial test data is obtained and input into the preset neural network model, and the neural network model is obtained by pre-training the standard data set of the implant in the standard database, so that the optimal matched standard data can be output based on the input of the test data, and the standard data can be transformed into the space of the test data through the space to replace the test reality as the target data. According to the embodiment of the invention, the problem of implant data missing during intraoral scanning is solved by matching the test data with the standard data, and the image taking efficiency of an operator using an intraoral scanner is improved. Meanwhile, based on the method, the speed of acquiring the data in the mouth is higher, and the use experience of a client is improved. Moreover, the data based on the obtained intraoral implant is more accurate, which is more beneficial to the design of the prosthesis and ensures the matching with the adjacent teeth and the pair of jaw teeth.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an apparatus for feature matching implant in intraoral scanning according to an embodiment of the present invention, the apparatus 300 includes: a data acquisition module 310, an intelligent matching module 320, a spatial transformation module 330, and a data update module 340.
In this embodiment, the data acquisition module 310 is used to acquire the test data of the intraoral implant.
In this embodiment, the intelligent matching module 320 is configured to input the test data into a preset neural network model, and output standard data corresponding to the test data, where the neural network model is obtained by pre-training a standard data set of an implant in a standard database;
in this embodiment, the spatial transformation module 330 is configured to transform the output standard data to a spatial coordinate system of the test data;
in this embodiment, the data updating module 340 is configured to use the standard data after transforming the spatial coordinate system as target data.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device 4 includes: a memory 402, a processor 401 and a computer program stored on the memory 402 and executable on the processor 401, the processor 401 when executing the computer program implementing the steps of the method for feature matching an implant in an intraoral scan provided by the above embodiments.
The electronic device 400 provided by the embodiment of the present invention can implement each implementation manner in the above method embodiments and corresponding beneficial effects, and for avoiding repetition, details are not described here.
Embodiments of the present invention further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the method for matching an implant based on features in intraoral scanning provided by the embodiments of the present invention, and can achieve the same technical effect, and in order to avoid repetition, the computer program is not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware that is related to instructions of a computer program, and the program can be stored in a computer readable storage medium, and when executed, the program can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (10)
1. A method of feature matching an implant in an intraoral scan, the method comprising the steps of:
acquiring test data of the intraoral implant;
inputting the test data into a preset neural network model, and outputting standard data corresponding to the test data, wherein the neural network model is obtained by pre-training a standard data set of an implant in a standard database;
transforming the output standard data to a spatial coordinate system of the test data;
and taking the standard data after the space coordinate system is transformed as target data.
2. The method of feature matching an implant in an intraoral scan of claim 1, wherein the step of obtaining test data of an intraoral implant comprises:
and scanning and acquiring 3D data of the intraoral implant by using an intraoral scanner to serve as the test data.
3. The method of feature matching an implant in an intraoral scan of claim 2, wherein the neural network model is a 3D point cloud processing model and the standard dataset is a 3D point cloud dataset of an implant.
4. The method of feature matching implants in intraoral scan of claim 3, wherein said 3D point cloud processing model is any one of PointNet + +, KCNet, SO-Net, PointCNN, A-CNN, PointConv.
5. An apparatus for feature matching implants in intraoral scans, the apparatus comprising:
the data acquisition module is used for acquiring test data of the intraoral implant;
the intelligent matching module is used for inputting the test data into a preset neural network model and outputting standard data corresponding to the test data, wherein the neural network model is obtained by pre-training a standard data set of an implant in a standard database;
the space transformation module is used for transforming the output standard data to a space coordinate system of the test data;
and the data updating module is used for taking the standard data after the space coordinate system is transformed as target data.
6. The apparatus for feature matching implants in intraoral scans of claim 5, wherein said data acquisition module comprises:
and the 3D data acquisition unit is used for acquiring the 3D data of the intraoral implant as the test data by scanning and imaging through the intraoral scanner.
7. The apparatus for feature matching an implant in an intraoral scan of claim 6, wherein the neural network model is a 3D point cloud processing model and the standard dataset is a 3D point cloud dataset of an implant.
8. The apparatus for feature matching implants in intraoral scans of claim 7, wherein said 3D point cloud processing model is any one of PointNet + +, KCNet, SO-Net, PointCNN, A-CNN, PointConv.
9. An electronic device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, the processor when executing the computer program implementing the steps in the method of feature matching an implant in an intraoral scan according to any of claims 1 to 4.
10. A computer readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of feature matching an implant in an intra-oral scan according to any one of claims 1 to 4.
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