A virtual patient-based post-implantation facial appearance prediction method and system

Abstract

The application discloses a virtual patient-based post-implantation facial appearance prediction method and system. It belongs to the department of oral implantation and relates to computer-aided implantation treatment plan making. The method uses preoperative digital image information of a patient to establish a virtual model, performs virtual implantation design on the virtual model, and displays corresponding facial soft tissue changes on software, so that the patient can intuitively feel the postoperative effect. Starting from the concept of facial aesthetics, the method meets the requirements of the patient on facial aesthetics and shape, predicts the postoperative aesthetic effect in the treatment process, maintains good communication at all times, and finally obtains an expected aesthetic restoration effect.

Description

Technical Field

[0001] This invention belongs to the field of oral implant technology, specifically relating to a method and system for predicting postoperative facial features based on virtual patients. Background Technology

[0002] Tooth loss or edentulism is a common clinical dental condition that affects not only speech, chewing, and dental aesthetics, but also the oral and maxillofacial system and overall health. This is especially true for patients with complex tooth loss or edentulism, whose unique oral soft and hard tissue conditions often lead to changes in the facial aesthetic area. With rising socioeconomic levels, patients are increasingly focused on improving their facial appearance through dental restoration, in addition to restoring chewing function. Therefore, how to simultaneously restore both occlusion and facial aesthetics to meet the functional and aesthetic requirements of these patients has become a pressing challenge. While traditional fixed and removable dentures can meet the basic needs of most patients with tooth loss or edentulism, they often present problems such as poor retention, limited speech, and inadequate functional recovery in cases of severe alveolar ridge resorption. However, the rapid development of implant technology has provided more possibilities for patients with complex tooth loss or edentulism.

[0003] With the development of computer information technology and the rise of digitalization in the medical field, digital technology has become a hot topic in the rapid development of oral medicine in recent years. Digital dental implant surgery refers to the process of creating a three-dimensional imaging model of the patient's jawbone based on medical image information such as computed tomography (CT) scans. This model is then matched with the morphology and position information of the future prosthesis in software to obtain the relationship between the local anatomical structure of the implant area and the position of the future implant prosthesis. In the restoration of complex edentulous or missing teeth, three-dimensional modeling, measurement and analysis of soft and hard tissues, as well as postoperative facial prediction, are the prerequisites and key to digital preoperative design. Among these, facial soft tissue prediction is particularly important and has great value in doctor-patient communication, auxiliary design, and surgical outcome evaluation. Because patients are more concerned about changes in facial proportions, nose, lips, and facial contours than potential skeletal changes, it is necessary to predict the changes in facial soft tissues after implant restoration. In the traditional restoration process for patients with complex dentition defects or missing teeth, technicians often make diagnostic dentures based on their own experience. However, due to the complexity of the dentition and soft tissue loss in these patients, the design and placement of diagnostic dentures have a significant impact on the patient's lip and facial support. Therefore, accurate soft tissue prediction remains a challenge in clinical treatment.

[0004] Currently, several mature software systems are available for 3D reconstruction of the craniofacial region and simulation of 3D hard tissue movements of the maxilla and mandible. However, research on visualizing tooth alignment and predicting facial aesthetics using digital methods is scarce. Therefore, it is necessary to propose a method that uses 3D simulation software to assist clinicians in selecting implant options, simulate postoperative facial changes in patients, and design immediate implant restorations, thus providing a basis for implant design. Summary of the Invention

[0005] To address the above issues, the present invention aims to establish a method and system for predicting postoperative facial appearance based on virtual patients. This method is based on the concept of facial aesthetics, meets the patient's requirements for facial beauty and shape, predicts the postoperative aesthetic effect during the treatment process and maintains good communication throughout, and ultimately achieves a predictable aesthetic repair effect.

[0006] To achieve the above objectives, a method for predicting post-implantation facial features based on a virtual patient, as described in this invention, includes the following steps:

[0007] A method for predicting post-implantation facial features based on virtual patients includes:

[0008] The system acquires intraoral scanning data and virtual occlusal relationship data of the patient, obtains the patient's dental arch relationship and occlusal relationship, and obtains radiographic diagnostic denture data that reflects the ideal position of the prosthesis, thereby obtaining intraoral scanning data of the radiographic diagnostic denture.

[0009] We acquired CBCT data of the maxillofacial region of the patient wearing radiodiagnostic dentures and radioblocking marker information, as well as CBCT data of only scanning radiodiagnostic dentures. We then performed digital three-dimensional reconstruction of the patient's maxillofacial region using two CBCT data sets to form a three-dimensional original model with information on the soft and hard tissues and radioblocking markers of the craniofacial region.

[0010] Acquire three-dimensional facial scan data of a patient wearing radiodiagnostic dentures, perform digital three-dimensional reconstruction to obtain a three-dimensional stereoscopic image of the patient's facial soft tissue, and register and fit it with the original three-dimensional model containing facial soft and hard tissue and radiation shielding marker information to form a three-dimensional fitted model.

[0011] The scanning data inside the radiodiagnostic denture chamber is fitted with the CBCT data of the radiodiagnostic denture to form a virtual diagnostic denture. Then, the virtual diagnostic denture is fitted with the three-dimensional fitting model to complete the modeling of the three-dimensional virtual patient model.

[0012] The three-dimensional virtual patient model is used for virtual design to obtain the predicted corresponding maxillofacial soft tissue morphology data;

[0013] In the virtual environment, the virtual diagnostic denture position corresponding to the optimal maxillofacial soft tissue morphology is used as the overall model to form the final selected three-dimensional virtual design model.

[0014] As a further improvement of the present invention, the method of obtaining intracavitary scanning data for radiological diagnosis includes:

[0015] Before the operation, intraoral scanning data and virtual occlusal relationship data of the patient are obtained to obtain the patient's dental arch relationship and occlusal relationship. Based on this, a radiological diagnostic prosthesis that reflects the ideal position of the restoration is made. The prosthesis is then tried on in the patient's mouth to check that the vertical distance and occlusal relationship are good. After that, intraoral scanning data of the radiological diagnostic prosthesis is obtained.

[0016] As a further improvement of the present invention, the acquisition of maxillofacial CBCT data and radiation shielding marker information of a patient wearing a diagnostic radiology denture, as well as CBCT data of scanning only the diagnostic radiology denture, includes:

[0017] Using dual-scan technology, the first CBCT scan involves the patient wearing a radiodiagnostic denture to obtain CBCT data of the maxillofacial region and radiation shielding information; the second CBCT scan only scans the radiodiagnostic denture to obtain its CBCT data.

[0018] As a further improvement of the present invention, the obtained predicted corresponding maxillofacial soft tissue morphology data includes:

[0019] The three-dimensional virtual patient model is virtually designed, and the predicted corresponding maxillofacial soft tissue morphology is displayed by moving the front and back positions of the virtual diagnostic denture, thereby obtaining the predicted corresponding maxillofacial soft tissue morphology data.

[0020] As a further improvement of the present invention, the virtual diagnostic denture position corresponding to the optimal maxillofacial soft tissue morphology is selected by two professional doctors and the patient in a virtual environment, and its overall model serves as a three-dimensional virtual design model.

[0021] As a further improvement of the present invention, the registration and fitting with the three-dimensional original model containing facial soft and hard tissue and radiation-shielding marker information is performed by fitting with seven representative soft tissue markers on the face, namely: bilateral inner canthi points, nasal tip points, bilateral corner points of the mouth, and bilateral nasal alar base points.

[0022] As a further improvement of the present invention, the virtual diagnostic denture is then fitted to the three-dimensional fitting model by registration and overlap of the radiographic markers of the radiographic diagnostic denture.

[0023] As a further improvement of the present invention, the virtual design of the three-dimensional virtual patient model includes:

[0024] The software was used to perform a profile analysis on the 3D virtual patient model, and six landmark points were selected: glabella point, soft tissue nasal root point, soft tissue anterior chin point, deepest point of mentolabial sulcus, anterior edge of lower lip point, and nasal tip point.

[0025] Define a normal facial shape as follows: the angle formed by connecting the glabella, the soft tissue nasal root point, and the soft tissue anterior chin point and opening backward is 173±4.5°.

[0026] The depth of the mentolabial sulcus is defined as the vertical distance from the deepest point of the mentolabial sulcus to the line connecting the soft tissue anterior point of the chin and the anterior edge of the lower lip, which is 3.5 ± 2 mm.

[0027] Define the E-line as the line connecting the tip of the nose to the soft tissue anterior point of the chin. Both lips are located behind this line, with the upper lip relatively further back and the lower lip relatively further forward.

[0028] Based on the above normal range of facial aesthetic values, the aesthetic neutral zone for virtual diagnostic denture movement is preliminarily determined. Within this range, the position of the virtual diagnostic denture is moved forward or backward at a rate of 0.5 mm / time. The corresponding changes in facial soft tissues, including the position of the upper and lower lips, as well as the morphology of the nasolabial fold, mentolabial fold, and nasolabial fold, are directly displayed on the three-dimensional virtual patient model.

[0029] As a further improvement of the present invention, the finally selected three-dimensional virtual design model is used for the fabrication of the implantation guide plate and the immediate implantation prosthesis, specifically including:

[0030] The final selected 3D virtual design model is imported into the implant surgery guide planning software for virtual implant placement. The position of the radiological diagnostic prosthesis corresponding to the selected 3D virtual design model is the future position of the prosthesis. The implant placement direction and position are designed based on the anatomical information and guided by the restoration. After the implantation plan is determined, the data is exported and 3D printed to complete the production of the implant guide.

[0031] Based on the location of the virtual diagnostic prosthesis in the final selected 3D virtual design model, the virtual diagnostic prosthesis data is exported and 3D printed to complete the fabrication of the immediate implant restoration.

[0032] A post-implantation facial prediction system based on virtual patients includes:

[0033] The scanning data acquisition unit is used to acquire intraoral scanning data and virtual occlusal relationship data of the patient, obtain the patient's dental arch relationship and occlusal relationship, and obtain radiographic diagnostic denture data that reflects the ideal position of the prosthesis, and then obtain intraoral scanning data of the radiographic diagnostic denture.

[0034] The three-dimensional original model is obtained as a unit, which is used to acquire the CBCT data of the maxillofacial region of the patient wearing radiodiagnostic dentures and the radiation shielding marker information. The CBCT data of only scanning radiodiagnostic dentures is obtained, and the patient's maxillofacial region is digitally reconstructed in three dimensions using two CBCT data, forming a three-dimensional original model with information on the soft and hard tissues of the craniofacial region and radiation shielding markers.

[0035] The three-dimensional fitting model is obtained by acquiring three-dimensional facial scan data of the patient wearing radiodiagnostic dentures, digitally reconstructing it to obtain a three-dimensional stereoscopic image of the patient's facial soft tissue, and registering and fitting it with the original three-dimensional model containing information on craniofacial soft and hard tissues and radiation blocking markers to form a three-dimensional fitting model.

[0036] The patient model modeling unit is used to fit the scan data inside the radiodiagnostic denture chamber with the CBCT data of the radiodiagnostic denture to form a virtual diagnostic denture, and then fit the virtual diagnostic denture with the three-dimensional fitting model to complete the three-dimensional virtual patient model modeling.

[0037] The morphological data acquisition unit is used to perform virtual design on the three-dimensional virtual patient model and obtain the predicted corresponding maxillofacial soft tissue morphological data.

[0038] The design model forming unit is used in a virtual environment to form the final selected three-dimensional virtual design model by using the virtual diagnostic denture position corresponding to the optimal maxillofacial soft tissue morphology as the overall model.

[0039] The present invention has the following outstanding beneficial effects:

[0040] This invention utilizes preoperative digital imaging information of patients to create a virtual model, enabling virtual implant design and displaying corresponding changes in facial soft tissue on the software. This allows patients to intuitively experience the postoperative results. Guided by facial aesthetics, it meets patients' requirements for facial beauty and shape, predicts postoperative aesthetic effects throughout the treatment process, and maintains good communication, ultimately achieving predictable aesthetic repair results. This overcomes the bottleneck problem of not being able to predict how facial soft tissue will change after implant repair surgery. This invention allows patients to intuitively see how different implant repair designs will lead to changes in facial soft tissue; that is, the visualized virtual model enhances the efficiency of doctor-patient communication, helps patients clarify their requirements for the repair effect, effectively improves the chairside operation efficiency of doctors and technicians, and has good economic and social benefits.

[0041] Instruction manual illustrations

[0042] Figure 1 This is a schematic diagram of the design method of the present invention;

[0043] Figure 2 A three-dimensional fitting diagram showing the patient's condition;

[0044] Figure 3 This is a schematic diagram of facial aesthetic prediction when the denture is moved forward by 1-6mm during virtual diagnosis.

[0045] Figure 4 Immediate intraoral repair demonstration image for the patient;

[0046] Figure 5 This is a block diagram of a post-implantation facial prediction system based on a virtual patient, according to the present invention.

[0047] Figure 6 This is a schematic diagram of an electronic device according to the present invention. Detailed Implementation

[0048] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0049] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0050] This invention belongs to the field of dental implantology and relates to the formulation of computer-aided implant treatment plans. It discloses a method and system for predicting postoperative facial features based on virtual patients.

[0051] Example 1

[0052] This invention provides a method for predicting post-implantation facial features based on a virtual patient, comprising:

[0053] The system acquires intraoral scanning data and virtual occlusal relationship data of the patient, obtains the patient's dental arch relationship and occlusal relationship, and obtains radiographic diagnostic denture data that reflects the ideal position of the prosthesis, thereby obtaining intraoral scanning data of the radiographic diagnostic denture.

[0054] We acquired CBCT data of the maxillofacial region of the patient wearing radiodiagnostic dentures and radioblocking marker information, as well as CBCT data of the patient only scanning radiodiagnostic dentures. We then performed digital three-dimensional reconstruction of the patient's maxillofacial region using two CBCT data sets to form a three-dimensional original model with information on facial soft and hard tissues and radioblocking markers.

[0055] Acquire three-dimensional facial scan data of the patient wearing radiodiagnostic dentures, perform digital three-dimensional reconstruction to obtain a three-dimensional stereoscopic image of the patient's facial soft tissue, and register and fit it with the original three-dimensional model containing information on craniofacial soft and hard tissues and radiation blocking markers to form a three-dimensional fitted model.

[0056] The scanning data inside the radiodiagnostic denture chamber is fitted with the CBCT data of the radiodiagnostic denture to form a virtual diagnostic denture. Then, the virtual diagnostic denture is fitted with the three-dimensional fitting model to complete the modeling of the three-dimensional virtual patient model.

[0057] The three-dimensional virtual patient model is used for virtual design to obtain the predicted corresponding maxillofacial soft tissue morphology data;

[0058] In the virtual environment, the virtual diagnostic denture position corresponding to the optimal maxillofacial soft tissue morphology is used as the overall model to form the final selected three-dimensional virtual design model.

[0059] Based on the concept of facial aesthetics, we aim to meet patients' requirements for facial beauty and shape, predict postoperative aesthetic effects during the treatment process, maintain good communication throughout, and ultimately achieve the expected aesthetic repair results.

[0060] Example 2

[0061] This invention discloses a method for predicting changes in maxillofacial soft tissue after implant surgery based on a virtual patient, comprising the following steps:

[0062] Step 1: Obtain intraoral scanning data and virtual occlusal relationship data of the patient before surgery to obtain the patient's dental arch relationship and occlusal relationship. Based on this, fabricate a radiological diagnostic denture that reflects the ideal position of the restoration. Try it on in the patient's mouth and check that the vertical distance and occlusal relationship are good. Then, obtain intraoral scanning data of the radiological diagnostic denture.

[0063] The patient's intraoral scan data is in STL format, the virtual occlusal relationship data is in OBJ format, the radiographic diagnostic denture intracavitary scan data is in STL format, the maxillofacial CBCT data is in DICOM format, the radiographic diagnostic denture CBCT data is in DICOM format, and the facial 3D scan data is in STL format.

[0064] Step Two: Using dual-scan technology, the first CBCT scan involves the patient wearing a radiodiagnostic denture to obtain CBCT data of the maxillofacial region and radiation-shielding marker information. The second CBCT scan scans only the radiodiagnostic denture to obtain its CBCT data. Digital 3D reconstruction is then performed on the patient's maxillofacial CBCT data to create a raw 3D model containing information on the soft and hard tissues of the craniofacial region and radiation-shielding markers.

[0065] The radiological diagnostic denture is a replica of a future implant restoration with radiation-shielding markings, and is the basic tool for facial prediction in this invention.

[0066] Step 3: The patient wears a radiological diagnostic denture and undergoes a 3D facial scan to obtain 3D facial scan data. This data is then digitally reconstructed to obtain a 3D stereoscopic image of the patient's facial soft tissue. This image is then registered and fitted with the original 3D model from Step 2 to form a 3D fitted model.

[0067] In step three, the facial 3D scan data is registered and fitted with the original 3D model by fitting seven representative soft tissue markers on the face: bilateral inner canthi points, nasal tip points, bilateral corner points of the mouth, and bilateral nasal alar base points.

[0068] Step 4: Fit the intracavitary scan data of the diagnostic denture obtained in Step 1 with the CBCT data of the diagnostic denture obtained in Step 2 to form a virtual diagnostic denture. Then fit the virtual diagnostic denture with the three-dimensional fitting model in Step 3 to complete the modeling of the three-dimensional virtual patient model.

[0069] In step four, the virtual diagnostic denture is fitted to the three-dimensional fitting model by registration and overlap using radiographic markers of the radiographic diagnostic denture.

[0070] Step 5: Perform virtual design on the three-dimensional virtual patient model, and display the predicted corresponding maxillofacial soft tissue morphology by moving the virtual diagnostic denture to its front and back position.

[0071] The virtual design process in step five is as follows:

[0072] The software was used to perform a profile analysis on the 3D virtual patient model, and six landmark points were selected: glabella point, soft tissue nasal root point, soft tissue anterior chin point, deepest point of mentolabial sulcus, anterior edge of lower lip point, and nasal tip point.

[0073] Define a normal facial shape as follows: the angle formed by connecting the glabella, the soft tissue nasal root point, and the soft tissue anterior chin point and opening backward is 173±4.5°.

[0074] The depth of the mentolabial sulcus is defined as the vertical distance from the deepest point of the mentolabial sulcus to the line connecting the soft tissue anterior point of the chin and the anterior edge of the lower lip, which is generally 3.5±2mm.

[0075] Define the E-line as the line connecting the tip of the nose to the soft tissue anterior point of the chin. Both lips are located behind this line, with the upper lip relatively further back and the lower lip relatively further forward.

[0076] Based on the above normal facial aesthetic range, the aesthetic neutral zone for virtual diagnostic denture movement was initially determined. Within this range, by moving the virtual diagnostic denture forward or backward at a rate of 0.5 mm per movement, the corresponding changes in facial soft tissues, including the position of the upper and lower lips, as well as the morphology of the nasolabial fold, mentolabial fold, and nasolabial fold, can be directly displayed on the three-dimensional virtual patient model.

[0077] Step Six: In the virtual environment, two professional doctors and the patient jointly select the virtual diagnostic denture position corresponding to the optimal maxillofacial soft tissue morphology, and its overall model serves as a three-dimensional virtual design model.

[0078] In step six, the doctor and patient jointly assess whether the predicted facial shape is satisfactory, and repeat step five until both parties agree.

[0079] Step 7: Import the final selected 3D virtual design model from Step 6 into the implant surgery guide planning software, perform virtual implant placement, export the data and 3D print it to complete the implant guide fabrication, and then the patient undergoes implant surgery.

[0080] The seventh step involves saving the final selected three-dimensional virtual design model from the sixth step as an STL file and importing it into the implant surgery guide planning software. The position of the radiological diagnostic prosthesis in the three-dimensional virtual design model is the position of the future prosthesis. The implantation direction and position of the implant are designed based on the anatomical information and guided by the restoration. After the implantation plan is determined, the information parameters of the implant to be implanted in the edentulous area are saved and exported in STL format for the fabrication of the digital guide.

[0081] Step 8: Based on the virtual diagnostic denture position in the final selected 3D virtual design model in Step 6, export the virtual diagnostic denture data and 3D print it to complete the fabrication of the immediate implant restoration.

[0082] The process in step eight involves saving the virtual diagnostic denture data from the three-dimensional virtual design model finally selected in step six, exporting it in STL format, and using it for the fabrication of immediate implant restorations.

[0083] Example 3

[0084] like Figure 1 As shown, this invention provides a method for predicting postoperative facial features based on a virtual patient, comprising the following steps:

[0085] (1) Step 1: Obtain intraoral scanning data and virtual occlusal relationship data of the patient before the operation, obtain the patient's dental arch relationship and occlusal relationship, and make a radiodiagnostic denture that reflects the ideal position of the restoration. Try it on in the patient's mouth, check the vertical distance and occlusal relationship, and obtain intraoral scanning data of the radiodiagnostic denture.

[0086] In step (1), the patient's intraoral scanning data is in STL format, the virtual occlusal relationship data is in OBJ format, the radiodiagnostic denture is a replica of the future implant restoration with radiation shielding markings, and the intraoral scanning data of the radiodiagnostic denture is in STL format.

[0087] (2) Step Two: Using dual-scan technology, the first CBCT scan involves the patient wearing a radiodiagnostic denture to obtain CBCT data of the maxillofacial region and radiation-shielding marker information; the second CBCT scan only scans the radiodiagnostic denture to obtain its CBCT data. Digital three-dimensional reconstruction is then performed on the patient's maxillofacial CBCT data to create a three-dimensional original model containing information on facial soft and hard tissues and radiation-shielding markers.

[0088] In step (2), a cone-beam computed tomography (CBCT) system was used for scanning. The voltage was 85 kV, the current was 7 mA, the slice thickness was 0.5 mm, and the scanning time was approximately 14 seconds. The patient was positioned standing with the orbitoauricular plane parallel to the ground. Laser positioning was used, with the midline laser beam parallel to the patient's facial midline, the horizontal laser beam aligned with the orbitoauricular plane, and the lateral laser beam aligned with the distal contact point of the patient's maxillary canine. Both the maxillofacial CBCT data and the radiographic prosthesis CBCT data were in DICOM format. The patient's craniofacial CBCT data were digitally reconstructed in three dimensions using ProPlanCMF 3.0 software to obtain a three-dimensional original model of the patient's craniofacial soft and hard tissues, including soft and hard tissue morphology and bone density information. The soft and hard tissue structures were reconstructed in transverse, coronal, sagittal, and even arbitrary axial and curved surfaces.

[0089] (3) Step 3: The patient wears a radiological diagnostic denture and undergoes a three-dimensional facial scan to obtain three-dimensional facial scan data. This data is then registered and fitted with the original three-dimensional model from Step 2 to form a three-dimensional fitted model.

[0090] In step (3), the facial scan uses a 3dMD-faceSystem device with a 3D data accuracy of 0.2mm, a working distance of 95cm, a video frame rate of 60fps, and a data acquisition time of 1.5s. The patient's position is the same as for CBCT: facing the instrument directly, with a natural head position, the orbitoauricular plane parallel to the ground plane, a natural expression, naturally closed lips, and the upper and lower jaws in a position of intercuspal position. A Ply format 3D facial photograph is obtained. This photograph is then imported into Geomagicwrap 2021 software for image processing and trimming, and exported and saved in STL format. The STL format 3D photograph is imported into ProPlanCMF 3.0 software to perform digital 3D reconstruction of the facial 3D scan data, obtaining a 3D stereoscopic image of the patient's facial soft tissue. This image possesses highly realistic skin texture features, allowing the final facial soft tissue alteration effect to be displayed in the software.

[0091] The registration and fitting process involves selecting seven registration points in the 3D image that are identical to those on the 3D soft tissue reconstructed from the CBCT data. Using the software's built-in matching algorithm and overlay function, the 3D image is overlaid onto the surface of the original 3D model to form a precise 3D fitted model. The seven registration points are: bilateral inner canthi points, nasal tip points, bilateral corners of the mouth points, and bilateral nasal alar base points. The patient's 3D fitted model is shown below. Figure 2 As shown.

[0092] (4) Step 4: Fit the scan data inside the dental prosthesis obtained in Step 1 with the CBCT data of the dental prosthesis obtained in Step 2 to form a virtual diagnostic prosthesis. Then fit the virtual diagnostic prosthesis with the three-dimensional fitting model in Step 3 to complete the modeling of the three-dimensional virtual patient model.

[0093] In step (4), since the CBCT data of the radiodiagnostic denture obtained in step two does not have accurate denture features and contours, it is necessary to fit it with the scan data inside the radiodiagnostic denture chamber to obtain an accurate virtual diagnostic denture morphology. The model fitting is done in ProPlanCMF 3.0 software by registering and overlapping the radiometric markers of the radiodiagnostic denture, fitting the virtual diagnostic denture with the three-dimensional fitting model in step three, and obtaining a full information model that combines the diagnostic denture and the patient's soft and hard tissues, namely a three-dimensional virtual patient model.

[0094] (5) Step 5: Perform virtual design on the three-dimensional virtual patient model, and display the predicted corresponding maxillofacial soft tissue morphology by moving the front and back positions of the virtual diagnostic denture.

[0095] In step (5), the virtual design process is as follows:

[0096] In ProPlanCMF 3.0 software, a lateral profile analysis was performed on the 3D virtual patient model, selecting six landmark points: glabella, soft tissue nasal root, soft tissue anterior chin, deepest point of the mentolabial sulcus, anterior edge of the lower lip, and nasal tip. The 3D measurements were automatically generated by the measurement program after the points were identified.

[0097] Define a normal facial shape as follows: the angle formed by connecting the glabella, the soft tissue nasal root point, and the soft tissue anterior chin point and opening backward is 173±4.5°.

[0098] The depth of the mentolabial sulcus is defined as the vertical distance from the deepest point of the mentolabial sulcus to the line connecting the soft tissue anterior point of the chin and the anterior edge of the lower lip, which is generally 3.5±2mm.

[0099] Define the E-line as the line connecting the tip of the nose to the soft tissue anterior point of the chin. Both lips are located behind this line, with the upper lip relatively further back and the lower lip relatively further forward.

[0100] Based on the above normal facial aesthetic ranges, the aesthetic neutral zone for virtual diagnostic denture movement was initially determined. Within this range, by moving the virtual diagnostic denture forward or backward at a rate of 1 mm per movement, the corresponding facial soft tissue changes can be directly displayed on the 3D virtual patient model, including the position of the upper and lower lips, as well as the morphology of the nasolabial folds, mentolabial folds, and nasolabial folds. Figure 3 As shown, the software displays the patient's facial aesthetic predictions when the virtual diagnostic denture is moved forward by 1-6 mm.

[0101] (6) Step Six: In the virtual environment, two professional doctors and the patient jointly select the virtual diagnostic denture position corresponding to the optimal maxillofacial soft tissue morphology, and its overall model serves as a three-dimensional virtual design model.

[0102] In step (6), both the doctor and the patient jointly assess whether the predicted facial shape is satisfactory and whether it achieves symmetry, aesthetics, and harmony. Step five is repeated until both the doctor and the patient reach a consensus. After careful evaluation by both the doctor and the patient, the final choice was to move the virtual diagnostic denture forward by 4mm.

[0103] This step facilitates communication between doctors and patients. The ProPlanCMF 3.0 software visually displays the changes in facial appearance after the denture has moved, until a satisfactory postoperative result is achieved for both parties, thus determining the final denture position.

[0104] (7) Step 7: Import the final selected three-dimensional virtual design model from Step 6 into the implant surgery guide planning software, perform virtual implantation, export the data and 3D print it to complete the production of the implant guide, and the patient undergoes implant surgery.

[0105] In step (7), the three-dimensional virtual design model finally selected in step six is ​​saved as an STL format and imported into GuideMia implant surgery guide planning software. The position of the radiological diagnostic denture in the three-dimensional virtual design model is the position of the future prosthesis. The implantation direction and position of the implant are designed based on the anatomical information and guided by the restoration. After the implantation plan is determined, the information parameters of the implant to be implanted in the edentulous area are saved and exported in STL format. The implant guide is made using a 3D printer.

[0106] (8) Step 8: According to the virtual diagnostic denture position in the three-dimensional virtual design model finally selected in Step 6, export the virtual diagnostic denture data and use the CAD / CAM system to design and manufacture the implant immediate restoration. Use bisacrylic resin to complete the fabrication of the implant immediate restoration.

[0107] In step (8), the virtual diagnostic denture data in the three-dimensional virtual design model finally selected in step six is ​​saved and exported in STL format for use in the fabrication of immediate implant restorations. Figure 4 An intraoral photograph was taken immediately after the restoration. Based on the virtual diagnostic prosthesis design, the final restoration was designed, and the patient was satisfied with the facial aesthetics and the restoration results.

[0108] like Figure 5 As shown, the present invention also provides a post-implantation facial prediction system based on virtual patients, and the post-implantation facial prediction method based on virtual patients includes:

[0109] The scanning data acquisition unit is used to acquire intraoral scanning data and virtual occlusal relationship data of the patient, obtain the patient's dental arch relationship and occlusal relationship, and obtain radiographic diagnostic denture data that reflects the ideal position of the prosthesis, and then obtain intraoral scanning data of the radiographic diagnostic denture.

[0110] The three-dimensional original model is obtained by acquiring CBCT data of the maxillofacial region of the patient wearing radiodiagnostic dentures and radioblocking marker information, obtaining CBCT data of only scanning radiodiagnostic dentures, and performing digital three-dimensional reconstruction of the patient's maxillofacial region using two CBCT data to form a three-dimensional original model with facial soft and hard tissue and radioblocking marker information.

[0111] The three-dimensional fitting model is obtained by acquiring three-dimensional facial scan data of the patient wearing radiodiagnostic dentures, digitally reconstructing it to obtain a three-dimensional stereoscopic image of the patient's facial soft tissue, and registering and fitting it with the original three-dimensional model containing facial soft and hard tissue and radiation blocking marker information to form a three-dimensional fitting model.

[0112] The patient model modeling unit is used to fit the scan data inside the radiodiagnostic denture chamber with the CBCT data of the radiodiagnostic denture to form a virtual diagnostic denture, and then fit the virtual diagnostic denture with the three-dimensional fitting model to complete the three-dimensional virtual patient model modeling.

[0113] The morphological data acquisition unit is used to perform virtual design on the three-dimensional virtual patient model and obtain the predicted corresponding maxillofacial soft tissue morphological data.

[0114] The design model forming unit is used in a virtual environment to form the final selected three-dimensional virtual design model by using the virtual diagnostic denture position corresponding to the optimal maxillofacial soft tissue morphology as the overall model.

[0115] like Figure 6 As shown, a third objective of the present invention is to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the virtual patient-based post-implantation facial prediction method.

[0116] A fourth objective of this invention is to provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the virtual patient-based post-implantation facial prediction method.

[0117] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0118] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0119] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0120] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0121] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for predicting post-implantation facial features based on virtual patients, characterized in that, include: The system acquires intraoral scanning data and virtual occlusal relationship data of the patient, obtains the patient's dental arch relationship and occlusal relationship, and obtains radiographic diagnostic denture data that reflects the ideal position of the prosthesis, thereby obtaining intraoral scanning data of the radiographic diagnostic denture. We acquired CBCT data of the maxillofacial region of the patient wearing radiodiagnostic dentures and radioblocking marker information, as well as CBCT data of the patient only scanning radiodiagnostic dentures. We then performed digital three-dimensional reconstruction of the patient's maxillofacial region using two CBCT data sets to form a three-dimensional original model with information on facial soft and hard tissues and radioblocking markers. Acquire three-dimensional facial scan data of a patient wearing radiodiagnostic dentures, perform digital three-dimensional reconstruction to obtain a three-dimensional stereoscopic image of the patient's facial soft tissue, and register and fit it with the original three-dimensional model containing facial soft and hard tissue and radiation shielding marker information to form a three-dimensional fitted model. The scanning data inside the radiodiagnostic denture chamber is fitted with the CBCT data of the radiodiagnostic denture to form a virtual diagnostic denture. Then, the virtual diagnostic denture is fitted with the three-dimensional fitting model to complete the modeling of the three-dimensional virtual patient model. The three-dimensional virtual patient model is used for virtual design to obtain the predicted corresponding maxillofacial soft tissue morphology data; In the virtual environment, the virtual diagnostic denture position corresponding to the optimal maxillofacial soft tissue morphology is used as the overall model to form the final selected three-dimensional virtual design model. The virtual design of the three-dimensional virtual patient model includes: The software was used to perform a profile analysis on the 3D virtual patient model, and six landmark points were selected: glabella point, soft tissue nasal root point, soft tissue anterior chin point, deepest point of mentolabial sulcus, anterior edge of lower lip point, and nasal tip point. Defining a normal facial shape, the angle formed by connecting the glabella, the soft tissue nasal root point, and the soft tissue anterior chin point, extending posteriorly, is 173±4.

5. ; The depth of the mentolabial sulcus is defined as the vertical distance from the deepest point of the mentolabial sulcus to the line connecting the soft tissue anterior point of the chin and the anterior edge of the lower lip, which is 3.5 ± 2 mm. Define the E-line as the line connecting the tip of the nose to the soft tissue anterior point of the chin. Both lips are located behind this line, with the upper lip relatively further back and the lower lip relatively further forward. Based on the above normal range of facial aesthetics, the aesthetic neutral zone for virtual diagnostic denture movement is preliminarily determined. Within this range, the position of the virtual diagnostic denture is moved forward or backward at a rate of 0.5 mm / time. The corresponding changes in facial soft tissues, including the position of the upper and lower lips, as well as the morphology of the nasolabial fold, mentolabial fold, and nasolabial fold, are directly displayed on the three-dimensional virtual patient model.

2. The method for predicting post-implantation facial features based on a virtual patient according to claim 1, characterized in that, The obtained radiographic diagnostic scan data within the denture chamber includes: Before the operation, intraoral scanning data and virtual occlusal relationship data of the patient are obtained to obtain the patient's dental arch relationship and occlusal relationship. Based on this, a radiological diagnostic prosthesis that reflects the ideal position of the restoration is made. The prosthesis is then tried on in the patient's mouth to check that the vertical distance and occlusal relationship are good. After that, intraoral scanning data of the radiological diagnostic prosthesis is obtained.

3. The method for predicting post-implantation facial features based on a virtual patient according to claim 1, characterized in that, The acquisition of maxillofacial CBCT data and radiation shielding marker information of patients wearing radiodiagnostic dentures, as well as CBCT data of patients only scanning radiodiagnostic dentures, includes: Using dual-scan technology, the first CBCT scan involves the patient wearing a radiodiagnostic denture to obtain CBCT data of the maxillofacial region and radiation shielding information; the second CBCT scan only scans the radiodiagnostic denture to obtain its CBCT data.

4. The method for predicting post-implantation facial features based on a virtual patient according to claim 1, characterized in that, The predicted corresponding maxillofacial soft tissue morphology data includes: The three-dimensional virtual patient model is virtually designed, and the predicted corresponding maxillofacial soft tissue morphology is displayed by moving the front and back positions of the virtual diagnostic denture, thereby obtaining the predicted corresponding maxillofacial soft tissue morphology data.

5. The method for predicting post-implantation facial features based on a virtual patient according to claim 1, characterized in that, The virtual diagnostic denture position corresponding to the optimal maxillofacial soft tissue morphology is selected by two professional doctors and the patient in a virtual environment. The overall model serves as a three-dimensional virtual design model.

6. The method for predicting post-implantation facial features based on a virtual patient according to claim 1, characterized in that, The registration and fitting with the original 3D model containing facial soft and hard tissue and radiation-shielding marker information is performed by fitting seven representative soft tissue markers on the face: bilateral inner canthi points, nasal tip points, bilateral corner points of the mouth, and bilateral nasal alar base points.

7. The method for predicting post-implantation facial features based on a virtual patient according to claim 1, characterized in that, The virtual diagnostic denture is then fitted to the three-dimensional fitting model by registering and overlapping the radiographic markers of the radiographic diagnostic denture.

8. The method for predicting post-implantation facial features based on a virtual patient according to claim 1, characterized in that, The final selected 3D virtual design model is used for the fabrication of the implantation guide plate and the immediate implant restoration, specifically including: The final selected 3D virtual design model is imported into the implant surgery guide planning software for virtual implant placement. The position of the radiological diagnostic prosthesis corresponding to the selected 3D virtual design model is the future position of the prosthesis. The implant placement direction and position are designed based on the anatomical information and guided by the restoration. After the implantation plan is determined, the data is exported and 3D printed to complete the production of the implant guide. Based on the location of the virtual diagnostic prosthesis in the final selected 3D virtual design model, the virtual diagnostic prosthesis data is exported and 3D printed to complete the fabrication of the immediate implant restoration.

9. A post-implantation facial prediction system based on a virtual patient, based on the post-implantation facial prediction method based on a virtual patient according to any one of claims 1 to 8, characterized in that, include: The scanning data acquisition unit is used to acquire intraoral scanning data and virtual occlusal relationship data of the patient, obtain the patient's dental arch relationship and occlusal relationship, and obtain radiographic diagnostic denture data that reflects the ideal position of the prosthesis, and then obtain intraoral scanning data of the radiographic diagnostic denture. The three-dimensional original model is obtained by acquiring CBCT data of the maxillofacial region of the patient wearing radiodiagnostic dentures and radioblocking marker information, as well as CBCT data of scanning only radiodiagnostic dentures. The patient's maxillofacial region is digitally reconstructed in three dimensions using two CBCT data, forming a three-dimensional original model with facial soft and hard tissue and radioblocking marker information. The three-dimensional fitting model is obtained by acquiring three-dimensional facial scan data of the patient wearing radiodiagnostic dentures, digitally reconstructing it to obtain a three-dimensional stereoscopic image of the patient's facial soft tissue, and registering and fitting it with the original three-dimensional model containing facial soft and hard tissue and radiation blocking marker information to form a three-dimensional fitting model. The patient model modeling unit is used to fit the scan data inside the radiodiagnostic denture chamber with the CBCT data of the radiodiagnostic denture to form a virtual diagnostic denture, and then fit the virtual diagnostic denture with the three-dimensional fitting model to complete the three-dimensional virtual patient model modeling. The morphological data acquisition unit is used to perform virtual design on the three-dimensional virtual patient model and obtain the predicted corresponding maxillofacial soft tissue morphological data. The design model forming unit is used in a virtual environment to form the final selected three-dimensional virtual design model by using the virtual diagnostic denture position corresponding to the optimal maxillofacial soft tissue morphology as the overall model.

Images