A method for generating a personalized three-dimensional model of an oral implant

Abstract

The present invention discloses a method for generating a personalized implant three-dimensional model for oral cavity, relates to the field of oral implant technology, and effectively improves the accuracy of the implant three-dimensional model. The present invention establishes an oral three-dimensional image model and a standard oral three-dimensional model, overlaps the standard oral three-dimensional model with the oral three-dimensional image model to obtain the patient's target implant position, and then establishes a corresponding oral implant event according to the target implant position, executes each installation stage in the oral implant event according to the target implant position, and synchronously updates the oral three-dimensional image model until all stages in the oral implant event are executed, thereby obtaining a personalized implant three-dimensional image model of the corresponding patient.

Description

Technical Field

[0001] The present invention relates to the technical field of oral implants, and in particular to a method for generating a three-dimensional model of a personalized implant for an oral cavity. Background Art

[0002] Oral implants are medical devices, usually made of metal, used to replace missing tooth roots. Implants are implanted in the alveolar bone, and the biological fusion of bone and implants is used to firmly support the installation of artificial teeth or dental prostheses. This method can provide a stable chewing function and a natural aesthetic effect, and is one of the common dental treatments. Therefore, how to ensure the accuracy of implant installation is the current technical focus. The current method of improving the accuracy of implant installation is mainly achieved by establishing a three-dimensional image model.

[0003] The existing technology for establishing oral implant three-dimensional image models is mainly based on direct generation through CT images, and the generated results have large errors. In addition, due to the different intracavitary environments of different patients, the traditional method of generating oral implant three-dimensional image models cannot accurately reflect the actual conditions in the patient's cavity. Therefore, a method for generating personalized implant three-dimensional models for the oral cavity is provided. Summary of the invention

[0004] In order to solve the above technical problems, an object of the present invention is to provide a method for generating a personalized three-dimensional implant model for oral cavity.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] A method for generating a personalized three-dimensional model of an oral implant comprises the following steps:

[0007] Step S1, acquiring oral CT image data and optical image data of a patient from multiple shooting angles, and then establishing an oral skeletal 3D model according to the oral CT image data, and establishing an oral soft 3D model according to the optical image data, and overlapping and mapping the oral skeletal 3D model with the oral soft 3D model to obtain an oral 3D image model of the corresponding patient;

[0008] Step S2, establishing a standard oral cavity three-dimensional model, and overlapping the standard oral cavity three-dimensional model with the oral cavity three-dimensional image model to obtain the patient's target implant position, and then establishing corresponding oral implant events according to the target implant position, wherein the oral implant events include a tooth extraction stage, an implant installation stage, an abutment installation stage, and a crown installation stage;

[0009] Step S3, during the tooth extraction phase of the oral implant event, collecting the patient's real-time oral CT image data and real-time optical image data, and updating the corresponding target implant position in the oral three-dimensional image model in real time through the real-time oral CT image data and real-time optical image data;

[0010] Step S4, executing each installation stage in the oral implant event according to the target implant position, and synchronously updating the oral three-dimensional image model until all stages in the oral implant event are completed, thereby obtaining a personalized implant three-dimensional image model of the corresponding patient.

[0011] Furthermore, the process of establishing the oral skeleton three-dimensional model includes:

[0012] Optical cameras and CT scanning devices are installed around the patient's head, and oral CT image data and optical image data of the patient are obtained through the optical camera and CT scanning device. The corresponding acquisition angles are marked for each oral CT image data and optical image data, and the patient's age and gender are obtained;

[0013] A corresponding local oral cavity distribution three-dimensional model is established according to the oral cavity CT image data of each shooting angle, a number of model voxels of the same size are divided in each local oral cavity distribution three-dimensional model, and then n local areas consisting of k adjacent model voxels are randomly selected in each local oral cavity distribution three-dimensional model, and the local areas are recorded as associated matching areas, wherein n and k are natural numbers greater than 0, and the value of k is less than the total number of model voxels in the local oral cavity distribution three-dimensional model;

[0014] Set a similarity number threshold. If the number of similar model voxels in two associated matching areas is greater than or equal to the similarity number threshold, the pair of associated matching areas are judged to be similar.

[0015] If the number of similar model voxels in two associated matching regions is less than the similarity threshold, the pair of associated matching regions is judged to be dissimilar;

[0016] For any two local oral distribution three-dimensional models, the associated matching areas in the two that have a similar relationship with each other are connected in sequence to obtain the associated matching boundaries, and then the pair of local oral distribution three-dimensional models are connected and spliced ​​according to the associated matching boundaries. The parts between the associated matching boundaries of the two local oral distribution three-dimensional models are directly overlapped to obtain the oral skeleton three-dimensional model.

[0017] Furthermore, the process of establishing the oral three-dimensional image model includes:

[0018] An oral soft 3D model of the corresponding patient is established based on the optical image data. The oral soft 3D model and the oral skeletal 3D model are overlapped and mapped according to the corresponding teeth parts in the oral soft 3D model and the oral skeletal 3D model, so that the oral soft 3D model is attached to the surface of the oral skeletal 3D model, thereby obtaining the oral 3D image model of the corresponding patient, and the patient's gender and age are annotated on the oral 3D image model.

[0019] Furthermore, standard oral cavity image data of different genders at different age groups are obtained through the Internet, and corresponding standard oral cavity three-dimensional models are established according to the standard oral cavity image data of different genders at different age groups.

[0020] Furthermore, the process of obtaining the target implant position includes:

[0021] According to the gender and age of the oral 3D image model, the corresponding standard oral 3D model is matched to obtain the undulation curves of the maxillary crown, mandibular crown, maxillary root and mandibular root of the teeth in the oral 3D image model and the standard oral 3D model respectively;

[0022] Establishing a three-dimensional coordinate system, and mapping the undulating curves of the same tooth part in the oral three-dimensional image model and the standard oral three-dimensional model onto the same three-dimensional coordinate system;

[0023] The undulating curves of the oral cavity three-dimensional image model and the standard oral cavity three-dimensional model are respectively divided into a plurality of curve segments of equal length, and each curve segment is numbered respectively, and the curve segments corresponding to the same position in the oral cavity three-dimensional image model and the standard oral cavity three-dimensional model have the same number subscript number;

[0024] Obtain the area values ​​formed between the curve segments with the same subscript number, and mark the curve segment subscript number for each area value;

[0025] For the area values ​​with the same subscript number in the first half, a normal distribution is performed, and the area values ​​of the central 50% part of the normal distribution are selected as the normal area value range, and the rest are marked as the abnormal area value range;

[0026] The abnormal tooth position of the patient is determined according to the subscript number of the area value within the abnormal area value range, and the abnormal tooth position is recorded as the target implant position and marked at the corresponding position in the oral three-dimensional image model.

[0027] Furthermore, the process of establishing the oral implant event includes: establishing the oral implant event according to the target implant position, the oral implant event including a tooth extraction stage, an implant installation stage, an abutment installation stage, and a crown installation stage;

[0028] The tooth extraction stage includes performing an extraction operation on the target implant position;

[0029] The implant installation stage includes the placement of implants according to the abnormal position of the teeth and the healing date;

[0030] The abutment installation stage includes installing the abutment on the implant;

[0031] The crown installation stage includes selecting the crown model according to the installation position of the base and the patient's tooth distribution, and adjusting the installation position of the crown on the base according to the occlusion condition between the patient's maxilla and mandible.

[0032] Furthermore, the updating process of the target implant position includes:

[0033] Generating an oral implant event according to step S2 determines the patient's target implant position, and performing a tooth extraction phase according to the target implant position;

[0034] When the doctor performs the oral implantation event, the patient's real-time oral CT image data and real-time optical image data are obtained through the optical camera and the CT scanning device, and the oral 3D image model is updated by using the process of establishing the oral 3D image model in step S2;

[0035] When the tooth extraction stage is completed, the implant installation position is marked on the oral implant position corresponding to the jaw position after the tooth extraction stage in the oral 3D image model, and the implant embedding depth is set according to the width of the jaw, thereby generating an implant installation navigation decision;

[0036] The implant installation navigation decision includes the implant installation position, the implant embedding depth, and the spacing distance and horizontal angle between the implant and the adjacent teeth.

[0037] Furthermore, the execution process of each installation stage in the oral implant event includes:

[0038] When executing the implant installation navigation decision in the implant installation stage, the doctor first determines the implant installation position according to the implant installation navigation decision and drills the jaw at the corresponding position;

[0039] During the mandibular drilling process, the oral 3D image model is updated according to the real-time oral CT image data and the real-time optical image data, and then the mandibular drilling depth is obtained in real time according to the updated oral 3D image model. When the mandibular drilling depth reaches the implant embedding depth, a "drilling stop" prompt is sent to the doctor;

[0040] When the drilling of the jaw bone is completed, the implant is installed in the jaw bone hole, and according to the spacing distance and horizontal angle of the implant relative to the adjacent teeth in the implant installation navigation decision, the real-time spacing distance and the real-time horizontal angle of the implant relative to the adjacent teeth are adjusted in real time until the real-time spacing distance and the real-time horizontal angle are equal to the spacing distance and the horizontal angle position indicated in the implant installation navigation decision;

[0041] When the healing period is over, the abutment installation phase is performed, and the healed gums are cut open and the abutment is installed on top of the implant.

[0042] During the crown installation phase, the crown is first installed on the base, and after the crown installation is completed, the patient's upper and lower jaws are closed, and at the same time, a process similar to the implant installation position positioning in step S2 is used to determine the area value between the undulating curves of each tooth part in the oral three-dimensional image model after the crown is installed and the standard oral three-dimensional model;

[0043] If there are facial values ​​that are not within the normal area value range, a prompt to adjust the crown position will be sent to the doctor until the area values ​​between the undulating curves of all tooth parts are within the normal area value range, thereby obtaining a personalized implant three-dimensional image model for the corresponding patient.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] The present invention establishes an oral 3D image model and a standard oral 3D model, overlaps the standard oral 3D model with the oral 3D image model to obtain the patient's target implant position, and then establishes a corresponding oral implant event according to the target implant position, executes each installation stage in the oral implant event according to the target implant position, and synchronously updates the oral 3D image model until all stages in the oral implant event are completed, thereby obtaining a personalized implant 3D image model of the corresponding patient, achieving generation of a personalized implant 3D image model according to the patient's jaw structure while ensuring the accuracy of the modeling result. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention.

[0047] Figure 1 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0048] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0049] Example 1

[0050] like Figure 1 As shown, a method for generating a personalized implant three-dimensional model for oral cavity comprises the following steps:

[0051] Step S1, acquiring oral CT image data and optical image data of a patient from multiple shooting angles, and then establishing an oral skeletal 3D model according to the oral CT image data, and establishing an oral soft 3D model according to the optical image data, and overlapping and mapping the oral skeletal 3D model with the oral soft 3D model to obtain an oral 3D image model of the corresponding patient;

[0052] Step S2, establishing a standard oral cavity three-dimensional model, and overlapping the standard oral cavity three-dimensional model with the oral cavity three-dimensional image model to obtain the patient's target implant position, and then establishing corresponding oral implant events according to the target implant position, wherein the oral implant events include a tooth extraction stage, an implant installation stage, an abutment installation stage, and a crown installation stage;

[0053] Step S3, during the tooth extraction phase of the oral implant event, collecting the patient's real-time oral CT image data and real-time optical image data, and updating the corresponding target implant position in the oral three-dimensional image model in real time through the real-time oral CT image data and real-time optical image data;

[0054] Step S4, executing each installation stage in the oral implant event according to the target implant position, and synchronously updating the oral three-dimensional image model until all stages in the oral implant event are completed, thereby obtaining a personalized implant three-dimensional image model of the corresponding patient.

[0055] Example 2

[0056] This embodiment is a further limitation of Embodiment 1, and Step S1 is implemented by the following process:

[0057] Optical cameras and CT scanning devices are installed around the patient's head, and oral CT image data and optical image data of the patient are obtained through the optical camera and CT scanning device. The corresponding acquisition angles are marked for each oral CT image data and optical image data, and the patient's age and gender are obtained;

[0058] It should be noted that the acquisition angles include the front, left, right and back;

[0059] Since the oral CT image data does not show the patient's skin or oral soft tissue, but only shows the patient's bones, teeth and oral soft tissue, the corresponding local oral distribution three-dimensional model is established based on the oral CT image data of each shooting angle;

[0060] A number of model voxels of the same size are divided in each local oral distribution three-dimensional model, and then n local regions consisting of k adjacent model voxels are randomly selected in each local oral distribution three-dimensional model, and the local regions are recorded as associated matching regions, wherein n and k are natural numbers greater than 0, and the value of k is less than the total number of model voxels in the local oral distribution three-dimensional model;

[0061] Overlapping and mapping the associated matching regions in each local oral cavity distribution three-dimensional model, and calculating the similarity between any two associated matching regions from different local oral cavity distribution three-dimensional models;

[0062] Since each oral CT image data is taken from the same patient at different angles, there must be common and related parts between each local oral distribution 3D model;

[0063] Obtain the pixel values ​​of each surface of each model voxel. If the ratio of the pixel values ​​of each surface of two model voxels is greater than 0.95, the pair of model voxels is judged to be similar, otherwise the pair of model voxels is judged to be dissimilar.

[0064] Set a similarity number threshold. If the number of similar model voxels in two associated matching areas is greater than or equal to the similarity number threshold, the pair of associated matching areas are judged to be similar.

[0065] If the number of similar model voxels in two associated matching regions is less than the similarity threshold, the pair of associated matching regions is judged to be dissimilar;

[0066] For any two local oral distribution three-dimensional models, the associated matching areas in the two that have a similar relationship with each other are connected in sequence to obtain the associated matching boundaries, and then the pair of local oral distribution three-dimensional models are connected and spliced ​​according to the associated matching boundaries. The parts between the associated matching boundaries of the two local oral distribution three-dimensional models are directly overlapped to obtain the oral skeleton three-dimensional model.

[0067] Furthermore, the distribution positions of the tongue, teeth, mucosa and other tissues in the patient's mouth are obtained based on the optical image data, and then a corresponding oral soft three-dimensional model of the patient is established;

[0068] Since the oral soft 3D model and the oral skeletal 3D model are both established based on the oral CT image data and optical image data of the same patient, the positions of the corresponding patient's teeth in the two must be the same. Therefore, according to the corresponding teeth parts in the oral soft 3D model and the oral skeletal 3D model, the oral soft 3D model and the oral skeletal 3D model are overlapped and mapped, so that the oral soft 3D model is attached to the surface of the oral skeletal 3D model, and then the corresponding patient's oral 3D image model is obtained, and the patient's gender and age are annotated on the oral 3D image model.

[0069] Example 3

[0070] This embodiment is a further limitation of Embodiment 1, and Step S2 is implemented by the following process:

[0071] Obtain standard oral image data of different genders at different age groups through the Internet, and establish corresponding standard oral three-dimensional models based on the standard oral image data of different genders at different age groups;

[0072] According to the gender and age of the oral 3D image model, the corresponding standard oral 3D model is matched to obtain the undulation curves of the maxillary crown, mandibular crown, maxillary root and mandibular root of the teeth in the oral 3D image model and the standard oral 3D model respectively;

[0073] Establishing a three-dimensional coordinate system, and mapping the undulating curves of the same tooth part in the oral three-dimensional image model and the standard oral three-dimensional model onto the same three-dimensional coordinate system;

[0074] The undulating curves of the oral 3D image model and the standard oral 3D model are divided into a number of curve segments of equal length, and a number s is set for each curve segment. 上冠、1 ,……,s 上冠、n ,s 下冠、1 ,……,s 下冠、n ,s 上根、1 ,……,s 上根、n ,s 下根、1 ,……,s 下根、n , S 上冠、1 ,……,S 上冠、n , S 下冠、1 ,……,S 下冠、n , S 上根、1 ,……,S 上根、n , S 下根、1 ,……,S 下根、n , where s 上冠、n 、s 下冠、n 、s 上根、n 、s 下根、n , S 下冠、n , S 上根、n , S下根、n and S 上冠、n Respectively represent the curve segments corresponding to the oral 3D image model and the standard oral 3D model;

[0075] Obtain the area values ​​formed between the curve segments with the same subscript number, and mark the curve segment subscript number for each area value;

[0076] Normal distribution is performed for the area values ​​with the same first half of the subscript number, and the area values ​​of the central 50% part of the normal distribution are selected as the normal area value range, and the rest are marked as the abnormal area value range;

[0077] The abnormal tooth position of the patient is determined according to the subscript number of the area value within the abnormal area value range, and the abnormal tooth position is recorded as the target implant position and marked at the corresponding position in the oral three-dimensional image model.

[0078] Further, an oral implant event is established according to the target implant position, wherein the oral implant event includes a tooth extraction stage, an implant installation stage, an abutment installation stage, and a crown installation stage;

[0079] The tooth extraction stage includes performing an extraction operation on the target implant position;

[0080] The implant installation stage includes the placement of implants according to the abnormal position of the teeth and the healing date;

[0081] The abutment installation stage includes installing the abutment on the implant;

[0082] The crown installation stage includes selecting the crown model according to the installation position of the base and the patient's tooth distribution, and adjusting the installation position of the crown on the base according to the occlusion condition between the patient's maxilla and mandible.

[0083] Example 4

[0084] This embodiment is a further limitation of Embodiment 1, and step S3 is implemented by the following process:

[0085] The doctor determines the patient's target implant position according to the oral implant event generated in step S2, and performs the tooth extraction phase according to the target implant position;

[0086] When the doctor performs the oral implantation event, the patient's real-time oral CT image data and real-time optical image data are obtained through the optical camera and the CT scanning device, and the oral 3D image model is updated by using the process of establishing the oral 3D image model in step S2;

[0087] When the tooth extraction stage is completed, the implant installation position is marked on the oral implant position corresponding to the jaw position after the tooth extraction stage in the oral 3D image model, and the implant embedding depth is set according to the width of the jaw, thereby generating an implant installation navigation decision;

[0088] The implant installation navigation decision includes the implant installation position, the implant embedding depth, and the spacing distance and horizontal angle between the implant and the adjacent teeth.

[0089] Example 5

[0090] This embodiment is a further limitation of Embodiment 1, and Step S4 is implemented by the following process:

[0091] When executing the implant installation navigation decision in the implant installation stage, the doctor first determines the implant installation position according to the implant installation navigation decision and drills the jaw at the corresponding position;

[0092] During the mandibular drilling process, the oral 3D image model is updated according to the real-time oral CT image data and the real-time optical image data, and then the mandibular drilling depth is obtained in real time according to the updated oral 3D image model. When the mandibular drilling depth reaches the implant embedding depth, a "drilling stop" prompt is sent to the doctor;

[0093] When the drilling of the jaw bone is completed, the implant is installed in the jaw bone hole, and according to the spacing distance and horizontal angle of the implant relative to the adjacent teeth in the implant installation navigation decision, the real-time spacing distance and the real-time horizontal angle of the implant relative to the adjacent teeth are adjusted in real time until the real-time spacing distance and the real-time horizontal angle are equal to the spacing distance and the horizontal angle position indicated in the implant installation navigation decision;

[0094] The abutment installation phase is then performed when the healing period is complete, where the healed gingiva is cut open and the abutment is installed on top of the implant.

[0095] Furthermore, during the crown installation phase, the crown is first installed on the base, and after the crown installation is completed, the patient's upper and lower jaws are closed, and at the same time, a process similar to the implant installation position positioning in step S2 is used to determine the area value between the undulating curves of each tooth part in the oral three-dimensional image model after the crown is installed and the standard oral three-dimensional model;

[0096] If there are facial values ​​that are not within the normal area value range, a prompt to adjust the crown position will be sent to the doctor until the area values ​​between the undulating curves of all tooth parts are within the normal area value range, thereby obtaining a personalized implant three-dimensional image model for the corresponding patient.

[0097] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for generating a personalized three-dimensional model of an oral implant, characterized in that: The following steps are involved: Step S1, acquiring oral CT image data and optical image data of a patient from multiple shooting angles, and then establishing an oral skeletal 3D model according to the oral CT image data, and establishing an oral soft 3D model according to the optical image data, and overlapping and mapping the oral skeletal 3D model with the oral soft 3D model to obtain an oral 3D image model of the corresponding patient; Step S2, establishing a standard oral cavity three-dimensional model, and overlapping the standard oral cavity three-dimensional model with the oral cavity three-dimensional image model to obtain the patient's target implant position, and then establishing corresponding oral implant events according to the target implant position, wherein the oral implant events include a tooth extraction stage, an implant installation stage, an abutment installation stage, and a crown installation stage; Step S3, during the tooth extraction phase of the oral implant event, collecting the patient's real-time oral CT image data and real-time optical image data, and updating the corresponding target implant position in the oral three-dimensional image model in real time through the real-time oral CT image data and real-time optical image data; The updating process of the target implant position includes: Determine the patient's target implant position based on the oral implant event and perform the extraction phase based on the target implant position; During the execution of the oral implant event, the real-time oral CT image data and real-time optical image data of the patient are obtained through an optical camera and a CT scanning device, and the oral 3D image model is updated by adopting a process of establishing an oral 3D image model; When the tooth extraction stage is completed, the implant installation position is marked on the oral implant position corresponding to the jaw position after the tooth extraction stage in the oral 3D image model, and the implant embedding depth is set according to the width of the jaw, thereby generating an implant installation navigation decision; The implant installation navigation decision includes the implant installation position, the implant insertion depth, and the spacing distance and horizontal angle between the implant and the adjacent teeth; Step S4, executing each installation stage in the oral implant event according to the target implant position, and synchronously updating the oral three-dimensional image model until all stages in the oral implant event are completed, thereby obtaining a personalized implant three-dimensional image model of the corresponding patient; The execution process of each installation stage in the oral implant event includes: Determine the implant installation position according to the implant installation navigation decision, and drill the jawbone at the corresponding position. At the same time, update the oral 3D image model according to the real-time oral CT image data and the real-time optical image data, and then obtain the jawbone drilling depth in real time according to the updated oral 3D image model. When the jawbone drilling depth reaches the implant embedding depth, generate a "drilling stop" prompt; When the drilling of the jaw bone is completed, the implant is installed in the jaw bone hole, and according to the spacing distance and horizontal angle of the implant relative to the adjacent teeth in the implant installation navigation decision, the real-time spacing distance and the real-time horizontal angle of the implant relative to the adjacent teeth are adjusted in real time until the real-time spacing distance and the real-time horizontal angle are equal to the spacing distance and the horizontal angle position indicated in the implant installation navigation decision; Then, when the healing date is over, the abutment installation stage is performed, and the healed gums are cut to install the abutment on the top of the implant. In the crown installation stage, the crown is first installed on the abutment, and after the crown installation is completed, the patient's upper and lower jaws are closed. At the same time, the implant installation position is located, and the area value between the undulating curves of each tooth part in the three-dimensional image model of the oral cavity after the crown is installed and the standard three-dimensional model of the oral cavity is determined; If there are facial values ​​that are not within the normal area value range, a crown position adjustment prompt is generated until the area values ​​between the undulating curves of all tooth parts are within the normal area value range, thereby obtaining a personalized implant three-dimensional image model for the corresponding patient.

2. A method for generating a personalized three-dimensional model of an oral implant according to claim 1, characterized in that: The process of establishing the oral skeleton three-dimensional model includes: An optical camera and a CT scanning device are installed around the patient's head, respectively, so as to obtain the patient's oral CT image data and optical image data through the optical camera and the CT scanning device, and obtain the patient's age and gender; A corresponding local oral cavity distribution three-dimensional model is established according to the oral cavity CT image data of each shooting angle, a number of model voxels of the same size are divided in each local oral cavity distribution three-dimensional model, and then n local areas consisting of k adjacent model voxels are randomly selected in each local oral cavity distribution three-dimensional model, and the local areas are recorded as associated matching areas, wherein n and k are natural numbers greater than 0, and the value of k is less than the total number of model voxels in the local oral cavity distribution three-dimensional model; Set a similarity number threshold. If the number of similar model voxels in two associated matching regions is greater than or equal to the similarity number threshold, the two associated matching regions are judged to be similar. Otherwise, the two associated matching regions are judged to be dissimilar. For any two local oral distribution three-dimensional models, the associated matching areas in the two that have similar relationships with each other are connected in sequence to obtain the associated matching boundaries, and then the corresponding two local oral distribution three-dimensional models are connected and spliced ​​according to the associated matching boundaries. The parts between the associated matching boundaries of the two are directly overlapped to obtain the oral skeleton three-dimensional model.

3. The method for generating a personalized three-dimensional model of an oral implant according to claim 2, characterized in that: The process of establishing the oral three-dimensional image model includes: An oral soft 3D model of the corresponding patient is established based on the optical image data. The oral soft 3D model and the oral skeletal 3D model are overlapped and mapped according to the corresponding teeth parts in the oral soft 3D model and the oral skeletal 3D model, so that the oral soft 3D model is attached to the surface of the oral skeletal 3D model, thereby obtaining the oral 3D image model of the corresponding patient, and the patient's gender and age are annotated on the oral 3D image model.

4. The method for generating a personalized three-dimensional model of an oral implant according to claim 3, characterized in that: Standard oral image data of different genders at different age groups are obtained through the Internet, and corresponding standard oral three-dimensional models are established based on the standard oral image data of different genders at different age groups.

5. The method for generating a personalized three-dimensional model of an oral implant according to claim 4, characterized in that: The process of obtaining the target implant position includes: According to the gender and age of the oral 3D image model, the standard oral 3D model is matched to obtain the undulation curves of the maxillary crown, mandibular crown, maxillary root and mandibular root of the teeth in the oral 3D image model and the standard oral 3D model respectively; Establishing a three-dimensional coordinate system, and mapping the undulating curves of the same tooth part in the oral three-dimensional image model and the standard oral three-dimensional model onto the same three-dimensional coordinate system; Divide the undulating curves of the oral cavity three-dimensional image model and the standard oral cavity three-dimensional model into a plurality of curve segments of equal length, and set a number for each curve segment, and the curve segments corresponding to the same position in the oral cavity three-dimensional image model and the standard oral cavity three-dimensional model have the same number subscript number; Obtain the area values ​​composed of curve segments with the same subscript number, and mark each area value with the curve segment subscript number, make a normal distribution for the area values ​​with the same subscript number in the first half, and select the area values ​​of the central 50% part of the normal distribution as the normal area value range, and mark the rest as the abnormal area value range; The abnormal tooth position of the patient is determined according to the subscript number of the area value within the abnormal area value range, and the abnormal tooth position is recorded as the target implant position and marked at the corresponding position in the oral three-dimensional image model.

6. The method for generating a personalized three-dimensional model of an oral implant according to claim 5, characterized in that: The establishment process of the oral implant event includes: Establishing an oral implant event according to the target implant position, wherein the oral implant event includes a tooth extraction stage, an implant installation stage, an abutment installation stage, and a crown installation stage; The tooth extraction stage includes performing an extraction operation on the target implant position; The implant installation stage includes the placement of implants according to the abnormal position of the teeth and the healing date; The abutment installation stage includes installing the abutment on the implant; The crown installation stage includes selecting the crown model according to the installation position of the base and the patient's tooth distribution, and adjusting the installation position of the crown on the base according to the occlusion condition between the patient's maxilla and mandible.

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