CN113610956B - Method, device and related equipment for feature matching implant in intraoral scanning - Google Patents
Method, device and related equipment for feature matching implant in intraoral scanning Download PDFInfo
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- CN113610956B CN113610956B CN202110671180.6A CN202110671180A CN113610956B CN 113610956 B CN113610956 B CN 113610956B CN 202110671180 A CN202110671180 A CN 202110671180A CN 113610956 B CN113610956 B CN 113610956B
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- 239000007943 implant Substances 0.000 title claims abstract description 84
- 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 7
- 238000004590 computer program Methods 0.000 claims description 11
- 230000009466 transformation Effects 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 9
- 238000003860 storage Methods 0.000 claims description 6
- 238000013527 convolutional neural network Methods 0.000 claims description 5
- 239000011159 matrix material Substances 0.000 claims description 3
- 238000003384 imaging method Methods 0.000 abstract description 3
- 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
- 230000000694 effects Effects 0.000 description 2
- 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
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 238000004519 manufacturing process Methods 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
- 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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- G16H30/00—ICT specially adapted for the handling or processing of medical images
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Abstract
The embodiment of the invention provides a method for matching characteristics of an implant in intraoral scanning, which comprises the following steps: acquiring test data of an 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 imaging efficiency of the intraoral scanner, solve the problems of incomplete, missing, deviation and the like of the intraoral scanner for acquiring the implant data, and improve the user experience.
Description
Technical Field
The invention relates to the technical field of oral implant restoration, in particular to a method, a device and related equipment for feature matching implant in intraoral scanning.
Background
The implant restoration treatment is a treatment mode for aesthetic restoration of missing teeth, and the oral implant not only ensures that the fixed restoration does not need to prepare the adjacent teeth, but also can keep soft and hard tissues around the implant. Since the current patients are not only required to be treated with permanent restorations, but also to have an aesthetic natural effect, i.e. to make the restoration difficult to identify, dental implant restorations are a treatment option in the face of such conditions that have high aesthetic requirements.
In the field of three-dimensional measurement, three-dimensional imaging technology has important applications in reverse engineering, oral digitization, and the like. In the case process of manufacturing the implant prosthesis crown by using the digital impression, the surface of the implant is required to be scanned, the complete 3D point cloud data of the surface of the implant is obtained, digital modeling is performed, and the digital modeling is used for subsequent implant design.
In the process of scanning the intraoral implant, the existing scanning equipment often has the problem of low precision, so that the in-situ deviation of the implant is easily caused to be too large, and the implantation case is caused to fail. Specific reasons are as follows:
(1) The surface of a general implant is of a metal attribute, the quality of data obtained by scanning by a general scanner is poor, one-time imaging is difficult to complete, and the surface of the implant needs to be scanned repeatedly;
(2) In clinical scanning, due to the fact that interference data of a patient in a scanning area are more, such as saliva, soft tissues and the like, implant data obtained through scanning are poor in quality;
(3) The implant type is complex, the data similarity is high, and the situation of mismatching of the implant in the current scanning is easy to occur in the scanning process.
Therefore, the above-described problems are to be solved.
Disclosure of Invention
The embodiment of the invention provides a method for matching implant features in intraoral scanning, which aims to solve the technical problems.
In a first aspect, an embodiment of the present invention provides a method for feature matching an implant in intraoral scanning, the method comprising the steps of:
Acquiring test data of an 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 includes:
And scanning and taking an image by using an intraoral scanner to obtain 3D data of the intraoral implant 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 and SO-Net, pointCNN, A-CNN, pointConv.
In a second aspect, the present invention also provides an apparatus for feature matching 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 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.
Preferably, the data acquisition module includes:
And the 3D data acquisition unit is used for scanning and taking images through the intraoral scanner to acquire 3D data of the intraoral implant 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 and SO-Net, pointCNN, A-CNN, 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 implementing the steps in the method of feature matching implants in intraoral scanning as described in any of the above when the computer program is executed.
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, implements the steps in a method of feature matching an implant in an intraoral scan as described in any of the above.
In the embodiment of the invention, the initial test data in the mouth is acquired and is 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 space to replace the test practice as the target data. According to the embodiment of the invention, the problem of missing implant data of intraoral scanning is solved by matching the test data to the standard data, and the efficiency of an operator for taking images by using an intraoral scanner is improved. Meanwhile, based on the method, the speed of acquiring the intraoral data is higher, and the use experience of a client is improved. Furthermore, the data based on the acquired intraoral implant are more accurate, which is more beneficial to the design of the prosthesis and ensures the matching with the adjacent teeth and the opposite teeth.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the drawings without giving inventive effort to those skilled in the art.
FIG. 1 is a flow chart of a method for feature matching implant in intraoral scanning provided by embodiments of the present invention;
FIG. 2 is a schematic diagram of one embodiment of a method of feature matching implants in intraoral scanning in accordance with embodiments of the present invention;
FIG. 3 is a diagram of acquisition of intraoral scanned 3D data (incomplete, missing) in accordance with an embodiment of the present invention;
FIG. 4 is a diagram of the complete 3D data acquired after a matching and seating operation in an embodiment of the present invention;
FIG. 5 is a schematic structural view of a device 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 following description of the embodiments of the present invention will be made with reference to the accompanying drawings, in which it is evident that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart of a method for feature matching implant in intraoral scanning according to an embodiment of the present invention, the method includes the following steps:
and 101, acquiring test data of the intraoral implant.
The intraoral implant is a standard implant implanted in the oral of a customer in advance, 3D model data of the standard implant are 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, with reference to fig. 2, the test data of the intraoral implant may be acquired by an intraoral scanner, where the test data is 3D point cloud data. As shown in fig. 3, the test data obtained by the intraoral scanner, which is affected by the conditions of intraoral implantation, is missing, incomplete, and possibly even deviated.
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 obtained test data of the implant is input into a preset neural network model, and the neural network model outputs standard data matched with the test data after calculation through feature extraction, identification, matching and the like, wherein 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 and SO-Net, pointCNN, A-CNN, pointConv.
And step 103, transforming the output standard data into a space coordinate system of the test data.
The standard data outputted from the neural network model is not identical to the coordinate system of the test data, and therefore, the standard data needs to be expressed in the oral cavity 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, that is, the spatial seating process, and in particular, 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 is subjected to space transformation, the standard data is used for replacing the test data as target data, so that the 3D model data of the intraoral implant can be accurately expressed, and the problems of incomplete, missing and deviation of the 3D model data of the implant obtained by the intraoral scanner are solved. As shown in fig. 4, the target data obtained after the standard data is spatially transformed into the spatial coordinate system of the test data and the test data is replaced is the complete data of the standard implant, and the problem of data deviation is solved.
In the embodiment of the invention, the initial test data in the mouth is acquired and is 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 space to replace the test practice as the target data. According to the embodiment of the invention, the problem of missing implant data of intraoral scanning is solved by matching the test data to the standard data, and the efficiency of an operator for taking images by using an intraoral scanner is improved. Meanwhile, based on the method, the speed of acquiring the intraoral data is higher, and the use experience of a client is improved. Furthermore, the data based on the acquired intraoral implant are more accurate, which is more beneficial to the design of the prosthesis and ensures the matching with the adjacent teeth and the opposite teeth.
Referring to fig. 5, fig. 5 is a schematic structural view of an apparatus for feature matching implant in intraoral scanning according to an embodiment of the present invention, and 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 configured to acquire 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 into a spatial coordinate system of the test data;
in this embodiment, the data updating module 340 is configured to take 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: the steps in the method for feature matching implants in intraoral scanning provided in the above embodiments are implemented by the processor 401 when the processor 401 executes the computer program.
The electronic device 400 provided in the embodiment of the present invention can implement each implementation manner in the above method embodiment, and the corresponding beneficial effects, and in order to avoid repetition, the description is omitted here.
The embodiment of the invention also provides a computer readable storage medium, and a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the computer program realizes each process of the method based on the feature matching implant in intraoral scanning provided by the embodiment of the invention, and can achieve the same technical effect, and in order to avoid repetition, the description is omitted here.
Those skilled in the art will appreciate that the processes implementing all or part of the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, and the program may be stored in a computer readable storage medium, and the program may include the processes of the embodiments of the methods as above when executed. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM) or the like.
The foregoing disclosure is illustrative of the present invention and is not to be construed as limiting the scope of the invention, which is defined by the appended claims.
Claims (10)
1. A method of feature matching an implant in intraoral scanning, the method comprising the steps of:
Acquiring test data of an 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 space coordinate system of the test data through a model transformation matrix;
and taking the standard data after the space coordinate system is transformed as target data.
2. The method of feature matching implant in intraoral scanning of claim 1, wherein the step of obtaining test data of the intraoral implant comprises:
And scanning and taking an image by using an intraoral scanner to obtain 3D data of the intraoral implant 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 the implant.
4. The method of feature matching implant in intraoral scanning of claim 3 wherein the 3D point cloud processing model is any one of PointNet ++, KCNet, SO-Net, pointCNN, A-CNN, pointConv.
5. A device for feature matching implant in intraoral scanning, the device 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 through a model transformation matrix;
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 implant in intraoral scanning of claim 5, wherein the data acquisition module comprises:
and the 3D data acquisition unit is used for scanning and taking images through the intraoral scanner to acquire 3D data of the intraoral implant as the test data.
7. The device 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 the implant.
8. The device for feature matching implant in intraoral scanning of claim 7, wherein the 3D point cloud processing model is any one of PointNet ++, KCNet, SO-Net, pointCNN, A-CNN, pointConv.
9. An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the method of feature matching implants in intraoral scanning as claimed in any of claims 1 to 4 when the computer program is executed.
10. A computer readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, implements the steps of the method of feature matching implants in intraoral scanning according to any of claims 1 to 4.
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