WO2023160311A1

WO2023160311A1 - Flat mucous membrane scanning and optical shaping method and system based on degree-of-motion monitoring

Info

Publication number: WO2023160311A1
Application number: PCT/CN2023/072884
Authority: WO
Inventors: 孙玉春; 陈虎; 柯怡芳; 张耀鹏; 翟文茹; 赵晓波; 江腾飞
Original assignee: 北京大学口腔医学院
Priority date: 2022-02-24
Filing date: 2023-01-18
Publication date: 2023-08-31
Also published as: CN114533325A; CN114533325B

Abstract

A flat mucous membrane scanning and optical shaping method and system based on degree-of-motion monitoring. The flat mucous membrane scanning and optical shaping method based on degree-of-motion monitoring comprises: identifying the microscopic morphologies of flat gums and mucous membrane surfaces by using a high-resolution camera, combining the microscopic morphologies into a splicing feature as a feature mark for scanned image splicing, and on the basis of the feature mark, performing static scanning to obtain a mucous membrane image; and on the basis of static scanning, enabling a patient to simulate physiological movement such as chewing, simultaneously performing mucous membrane dynamic scanning, and performing real-time monitoring on the basis of the degree of motion of mucous membranes and AI to obtain the three-dimensional scanning data of a muscle static region, thereby achieving optical shaping. Dentition and a small amount of gums around the dentition can be scanned, the flat gums and oral mucous membranes of a large-area edentulous region can also be accurately scanned, and the intraoral three-dimensional scanning efficiency and accuracy of the flat gums and the mucous membrane regions are greatly improved.

Description

Method and system for flat mucosa scanning and optical shaping based on motion monitoring

Cross References to Related Applications

This application is based on the application with CN application number 202210177554.3 and the application date is February 24, 2022, and claims its priority. The disclosure content of this CN application is hereby incorporated into this application as a whole.

technical field

The present disclosure relates to the technical field of oral medical devices, and more specifically relates to a method and system for flat mucosa scanning and optical shaping based on motion monitoring.

Background technique

Intraoral 3D scanning technology has developed rapidly and its accuracy has been continuously improved, and has been widely used in the field of stomatology. In terms of single crown restoration, three-unit fixed bridge, and single implant upper restoration, the scanning accuracy of the intraoral 3D scanner can meet the clinical requirements; , its scanning accuracy is still insufficient.

Contents of the invention

In view of this, the present disclosure provides a method and system for flat mucosa scanning and optical shaping based on motion monitoring.

According to the first aspect of the present disclosure, a method for scanning and optical shaping of flat oral mucosa based on motion monitoring is provided, including: statically scanning the gingiva and mucosa in the oral cavity to obtain multiple scanned images; using the gingiva and mucosa Based on the combined characteristics of the microscopic topography of the surface, the multiple scanned images are stitched together to obtain a mucosal image; dynamic scanning is performed on the gums and mucosa in the oral cavity to obtain scanned images under different motion states; according to different motion states Scan the image to determine the three-dimensional scanning data of the muscle static area to achieve optical shaping.

In some embodiments, the microscopic features include at least one of stippling, salivary gland openings, and mucosal textures that are naturally present on the surface of the gums and mucosa.

According to the second aspect of the present disclosure, there is provided a method for flat mucosa scanning and optical shaping based on motion monitoring, including: using a high-resolution camera to identify the microscopic topography of the flat gingiva and mucosal surface, and converting the microscopic topography Combining features into mosaic features, as the feature marks of scanned image mosaic, based on the feature marks, perform static scanning to obtain mucosal images; Dynamic scanning, real-time monitoring based on mucous membrane movement and AI, to obtain three-dimensional scanning data of muscular static area, to achieve optical plastic surgery.

In some embodiments, the microscopic features include stippling, salivary gland openings, mucosal textures that occur naturally on gingival and mucosal surfaces.

In some embodiments, the step of acquiring the three-dimensional scanning data of the muscular static area is as follows: performing multiple consecutive scans on the same mucous membrane area in different motion states to obtain the three-dimensional deviation value of the scanning data; comparing the three-dimensional deviation value in real time with the predicted Threshold comparison is set, the data greater than the preset threshold is the data of the muscular dynamic zone, which is deleted, and the data smaller than the preset threshold is data of the muscular static zone, which is retained.

In some embodiments, the step of acquiring the three-dimensional scanning data of the muscular static area is: scanning the data of the overall gingival mucosa area under multiple motion states; comparing the data of the overall gingival mucosa area with a preset threshold, and according to the comparison The difference, to determine the muscle static area.

In some embodiments, the step of acquiring the three-dimensional scanning data of the muscular static area is: setting the threshold range of mucous membrane activity in the intraoral three-dimensional scanner software, performing machine learning through a deep learning neural network, and the software recognizes the muscular static area after machine learning. The force zone was retained, and the active mucosa that was identified as the muscle force zone and exceeded the threshold range was deleted.

According to a third aspect of the present disclosure, there is provided a flat mucosa scanning and optical shaping system based on motion monitoring, including a feature acquisition module, a static scanning module, a dynamic scanning module, and a real-time monitoring module; wherein the feature acquisition module , for using a high-resolution camera to identify the microscopic topography of flat gums and mucosal surfaces, and combine the microscopic topography into mosaic features as feature marks for scanning image mosaic; the static scanning module is used for based on the The feature marks are statically scanned to obtain a mucosal image; the dynamic scanning module allows the patient to simulate a physiological chewing movement on the basis of the static scanning while performing a dynamic scan; the real-time monitoring module is used to Real-time monitoring with AI to obtain 3D scanning data of the muscular static area to achieve optical shaping.

In some embodiments, the high-resolution camera is a camera with a resolution of 1280*960.

According to a fourth aspect of the present disclosure, a system for scanning and optical shaping of flat oral mucosa based on motion monitoring is provided, including: a static scanning module configured to perform static scanning of the gingiva and mucosa in the oral cavity to obtain multiple The scanned image; the mosaic module is configured to use the combined features of the microscopic topography of the gingiva and mucosal surface to stitch the multiple scanned images to obtain a mucosal image; Dynamic scanning is performed to obtain scanned images in different motion states; the determination module is configured to determine the three-dimensional scanning data of the muscle static area according to the scanned images in different motion states, so as to realize optical shaping.

According to a fifth aspect of the present disclosure, an oral scanner is provided, including: the above-mentioned flat mucosa scanning based on motion monitoring and an optical shaping system.

According to a sixth aspect of the present disclosure, there is provided a system for scanning and optical shaping of flat oral mucosa based on motion monitoring, comprising: a memory; and a processor coupled to the memory, the processor is configured to The instructions stored in the memory implement the motion monitoring based flat oral mucosa scanning and optical shaping method as described above.

According to a seventh aspect of the present disclosure, there is provided a computer-readable storage medium, on which computer program instructions are stored, and when the instructions are executed by a processor, the above-mentioned flat oral mucosa scanning based on motion monitoring and optical Plastic method.

According to an eighth aspect of the present disclosure, there is provided a computer program comprising: instructions which, when executed by a processor, cause the processor to perform the motion monitoring based planar oral mucosa scanning and optical Plastic method.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or related technologies, the following will briefly introduce the drawings that need to be used in the descriptions of the embodiments or related technologies. Obviously, the drawings in the following description are only For the disclosed embodiments, those skilled in the art can also obtain other drawings according to the provided drawings without any creative work.

FIG. 1 is a flowchart of a method for flat mucosa scanning and optical shaping based on motion monitoring in some embodiments of the present disclosure;

Figure 2 is a schematic diagram of myostatic lines in some embodiments of the present disclosure;

Fig. 3 is a structural diagram of a flat mucosa scanning and optical shaping system based on motion monitoring in some embodiments of the present disclosure;

Fig. 4 is a schematic structural diagram of a flat mucosa scanning and optical shaping system based on motion monitoring according to some embodiments of the present disclosure.

FIG. 5 is a schematic structural diagram of a computer system according to some embodiments of the present disclosure.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only some of the embodiments of the present disclosure, not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present disclosure.

In related technologies, the basic principle of the intraoral three-dimensional scanning system is to use small-area single-field scanning data as the smallest scanning unit, and use software to identify the macroscopic curvature change characteristics of the teeth and gum surfaces, and use this feature as a multi-viewpoint when the scanning head moves continuously. Based on the registration stitching between scanned images, the partial images scanned continuously are stitched into an overall image. However, for flat gums and mucous membranes in large edentulous areas, due to the lack of teeth and other macroscopic curvature changes on the surface, problems such as image splicing errors and inability to complete scanning may occur during scanning, and edge plastic scanning cannot be achieved. Due to the limitation of the principle of optical scanning, it is currently difficult to directly obtain the soft tissue morphology after functional shaping through the intraoral 3D scanner, and there is still a technical bottleneck in the intraoral 3D scanning technology.

Therefore, for those skilled in the art, how to accurately scan a large area of flat gums and mucous membranes to achieve optical plastic surgery is an urgent problem to be solved.

In view of this, the present disclosure provides a flat mucosa scanning and optical shaping method and system based on motion monitoring, which makes it possible for an intraoral three-dimensional scanner to be applied to large-area flat gingiva and mucosa scanning and achieve optical shaping.

Some embodiments of the present disclosure disclose a flat mucosa scanning and optical shaping method based on motion monitoring, as shown in FIG. 1 , the specific steps include the following:

Using a high-resolution camera to identify the microscopic topography of flat gingiva and mucosal surfaces, combine the microscopic topography into mosaic features, as the feature marks of scanned image stitching, and perform static scanning based on the feature marks to obtain mucosal images;

On the basis of static scanning, patients are allowed to simulate physiological chewing movements, and dynamic scanning is performed at the same time, real-time monitoring is performed based on mucosal movement and AI, and three-dimensional scanning data of muscular static areas are obtained to achieve optical plastic surgery.

Microscopic features such as stippling, salivary gland openings, and mucosal textures that naturally exist on the surface of the gums and mucous membranes are difficult to distinguish with the naked eye and low-resolution cameras, but by increasing the resolution of the camera, the above microscopic features can be accurately imaged, and these microscopic features A random combination of regions of , can be a good stitching feature for oral scans of flat gingiva and mucosal regions.

In this embodiment, the resolution of the high-resolution camera is 1280*960.

In some other embodiments, the resolution of the high-resolution camera is greater than 1280*960. The resolution of the high-resolution camera can also be other values without affecting the implementation of the present disclosure.

Further, there are three ways to obtain the three-dimensional scanning data of the muscle static area, and the steps of the first way are:

Continuous multiple scans of different motion states of the same mucosal area to obtain the three-dimensional deviation value of the scan data;

The three-dimensional deviation value is compared with the preset threshold in real time, and the data greater than the preset threshold is the data of the muscle dynamic area, which is deleted, and the data smaller than the preset threshold is the data of the muscle static area, which is retained.

Specifically, the threshold range of mucosal activity is set in the intraoral three-dimensional scanner software, and this threshold range is only suitable for The scanners used in this embodiment have different error values for scanning static mucous membranes with different scanners. In this embodiment, the threshold value is set to 200 microns to distinguish the muscle static zone and the muscle dynamic zone, and draw the muscle static line 1, as shown in FIG. 2 .

The threshold value of 200 microns is obtained as follows: conduct a pre-experiment, scan the same mucosal area of the whole dentition twice, and register with the dentition area. After the two scans, the deviation of the active area is about 200 microns; at the same time, according to the movement The difference between the mucous membrane and the threshold value can be selected to retain the data of the dynamic mucous membrane at a distance of 2 mm from the myostatic line (this part of the mucous membrane is closer to the myostatic line, that is, the attachment point of the muscle on the bone surface is closer, and the movement range is smaller). In this way, not only the shape of the muscular static line can be obtained, but also the shape of the neutral zone consistent with the shape of the edge of the denture can be obtained.

The steps of the second method are: scanning the overall gingival mucosa area data in multiple motion states; comparing the overall gingival mucosa area data with a preset threshold value, and determining the muscle static area according to the contrast difference.

In some embodiments, the second method includes: determining the mobility of each mucosal region unit among the multiple mucosal region units according to the overall gingival mucosa region data in multiple motion states; if the mobility of the mucosal region unit exceeds the preset threshold, the mucosal area unit belongs to the muscular dynamic area, otherwise, the mucosal area unit belongs to the muscular static area. Wherein, the mucous membrane area includes multiple mucous membrane area units, and the mobility of each mucous membrane area unit can be determined according to the three-dimensional deviation value of the scanning data of the same mucous membrane area unit in multiple motion states.

The steps of the third method are: using image processing technology to obtain the three-dimensional scanning data of the muscle static area, specifically, machine learning is carried out through the deep learning neural network, and the software recognizes the muscle static area and retains it after machine learning, and recognizes it as muscle power Areas of active mucosa that were outside the threshold range were removed.

During physiological activities such as chewing, swallowing, and pronunciation, the oral mucosa is mainly divided into two parts: the moving part and the static part. The removable denture is mainly covered on the static part, and its edge will fall into a long non-moving part between the two parts. Or the area of small movement, called the muscle static area, needs to be accurately obtained when making an impression for the patient, so as to ensure the stability of the denture during the physiological movement of the oral cavity, and not affect the activities of the lips, cheeks, tongue and other tissues. When the traditional method is used to obtain the impression of this area, it is usually necessary to use a fluid impression material. During the solidification process of the impression material, let the patient repeatedly perform movements such as opening the mouth wide and pouting, so that the impression can be made when the impression material solidifies. Create the shape of the muscle static area, this process is called "muscle function shaping", also known as "edge shaping".

Muscle static area: The area where there is no mucosal activity during physiological activities such as swallowing, opening and closing, speaking, and chewing is called the myostatic area, which is the supporting area of the denture.

Muscle dynamic zone: The area with muscular mucosal activity is called the muscle dynamic zone.

Muscle static line: the junction between the muscle static zone and the muscle dynamic zone.

It should be noted that the principle of the intraoral three-dimensional scanner is: At present, various brands of digital intraoral scanning equipment Most of them are manufactured based on optical principles, such as blue light-emitting diode technology and blue laser technology. Multiple single images are stitched together, and then the image stream is continuously collected. The basic principle of oral scanning is two imaging technologies, one is to take pictures, the other is to take videos, and then synthesize them through computer programs to restore the color and high-precision intraoral conditions. The accuracy of "photographic" will be much higher than that of "video", and the technical requirements are relatively higher. Of course, differentiators among the various devices also include whether or not a shade powder is required to capture the image. The technical level of intraoral scanning includes two steps. First, the three-dimensional data point cloud of the tooth surface is collected at a single position by the three-dimensional imaging method; 3D data model.

The steps to scan with an intraoral 3D scanner are:

To scan partially or completely edentulous patients:

1) Dry the alveolar ridge in the mouth, and obtain the morphology of the alveolar ridge with an intraoral three-dimensional scanner.

2) After obtaining the complete three-dimensional morphology of the alveolar ridge, the intraoral three-dimensional scanner scans the muscular static area from the buccal side down, and at the same time instructs the patient to move the lip and buccal mucosa until the complete muscular static area and line are obtained. The scan is complete.

In the embodiment of the present disclosure, by adopting the above-mentioned technical solution, it has the following beneficial technical effects: the method can greatly improve the efficiency and accuracy of intraoral three-dimensional scanning of flat gums and mucous membrane regions.

It can be seen from the above technical solutions that, compared with the related art, the method and system for flat mucosa scanning and optical shaping based on motion monitoring provided by the present disclosure solves the problems existing in the intraoral three-dimensional scanner in the related art, and not only can It can scan the dentition and a small amount of gums around the dentition, and can also accurately scan large areas of flat gums and oral mucosa in the edentulous area. Intraoral three-dimensional scanning efficiency and accuracy of the mucosal area to achieve optical plastic surgery.

Some embodiments of the present disclosure disclose a flat mucosa scanning and optical shaping system based on motion monitoring, as shown in FIG. 3 , including a feature acquisition module, a static scanning module, a dynamic scanning module, and a real-time monitoring module; wherein,

The feature acquisition module is used to identify the microscopic topography of flat gums and mucosal surfaces using a high-resolution camera, and combine the microscopic topography into stitching features, which are used as feature marks for scanning image stitching;

The static scanning module is used to perform static scanning based on the feature marks to obtain mucosal images;

In some embodiments, the combined features of the microscopic topography are used to register multiple scanned images obtained by static scanning, and the registered images are stitched to obtain a three-dimensional mucosal image.

Dynamic scanning module, on the basis of static scanning, allows patients to simulate physiological chewing movements while performing dynamic scanning;

The real-time monitoring module is used for real-time monitoring based on mucous membrane dynamics and AI (Artificial Intelligence, artificial intelligence), to obtain three-dimensional scanning data of muscular static area, and to realize optical plastic surgery.

In some embodiments, the mucous membrane scanning data in different motion states obtained by dynamic scanning is used to determine the mobility of each mucosal area unit; the mobility of each mucosal area unit is compared with a preset threshold value, and according to the comparison result, the The muscular static area is determined in the overall area of the mucosa, and then the optical shaping is realized according to the three-dimensional mucosal image obtained by static scanning and the muscular static area obtained by dynamic scanning.

In some embodiments, in addition to determining the muscular static zone based on the mucous membrane dynamics, it is also assisted to determine the muscular static zone based on AI technology. For example, the image of the oral mucosa is processed according to the machine learning model obtained in advance to identify the muscular static area in the image of the oral mucosa.

In some embodiments, an oral scanner is also provided, including a flat mucosa scanning based on motion monitoring and an optical shaping system.

FIG. 4 is a block diagram illustrating a motion monitoring based flat mucosa scanning and optical shaping system according to other embodiments of the present disclosure.

As shown in FIG. 4 , the system 400 for flat mucosa scanning and optical shaping based on motion monitoring includes a memory 410 ; and a processor 420 coupled to the memory 410 . The memory 410 is used to store instructions for executing the corresponding embodiments of the method of flat mucosa scanning and optical shaping based on motion monitoring. The processor 420 is configured to, based on the instructions stored in the memory 410, execute the method of flat mucosa scanning and optical shaping based on motion monitoring in some embodiments of the present disclosure.

Figure 5 is a block diagram illustrating a computer system for implementing some embodiments of the present disclosure.

As shown in FIG. 5, computer system 500 may take the form of a general-purpose computing device. Computer system 500 includes memory 510, processor 520, and bus 530 that connects the various system components.

The memory 510 may include, for example, a system memory, a non-volatile storage medium, and the like. The system memory stores, for example, an operating system, an application program, a boot loader (Boot Loader) and other programs. System memory may include volatile storage media such as random access memory (RAM) and/or cache memory. The non-volatile storage medium, for example, stores instructions corresponding to at least one of the methods of scanning flat oral mucosa based on motion monitoring and optical shaping methods. Non-volatile storage media include, but are not limited to, magnetic disk storage, optical storage, flash memory, and the like.

The processor 520 may be implemented by discrete hardware components such as a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gates, or transistors. accomplish. Correspondingly, each module such as the static scanning module and the dynamic scanning module can be realized by executing instructions in the memory of the central processing unit (CPU) to execute corresponding steps, or can also be realized by a dedicated circuit that executes corresponding steps.

Bus 530 may use any of a variety of bus structures. For example, bus structures include, but are not limited to, Industry Standard Architecture (ISA) buses, Micro Channel Architecture (MCA) buses, Peripheral Component Interconnect (PCI) buses.

The computer system 500 may also include an input and output interface 540, a network interface 550, a storage interface 560, and the like. These interfaces 540 , 550 , and 560 , as well as the memory 510 and the processor 520 may be connected through a bus 530 . The input and output interface 540 may provide a connection interface for input and output devices such as a display, a mouse, and a keyboard. The network interface 550 provides a connection interface for various networked devices. The storage interface 560 provides connection interfaces for external storage devices such as floppy disks, U disks, and SD cards.

Aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus and computer program products according to embodiments of the disclosure. It should be understood that each block of the flowchart and/or block diagrams, and combinations of blocks, can be implemented by computer readable program instructions.

These computer-readable program instructions may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable device to produce a machine such that execution of the instructions by the processor produces the processes implemented in one or more blocks of the flow diagrams and/or block diagrams. device for the specified function.

These computer-readable program instructions can also be stored in the computer-readable memory, and these instructions cause the computer to operate in a specific manner, thereby producing an article of manufacture, including implementing the functions specified in one or more blocks in the flowchart and/or block diagram instructions.

The disclosure can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other. As for the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for relevant details, please refer to the description of the method part.

The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

A flat oral mucosa scanning and optical shaping method based on motion monitoring, including:

Static scanning of the gums and mucous membranes in the oral cavity to obtain multiple scanning images;

Stitching the multiple scanned images by using the combined features of the microscopic topography of the gingiva and the mucosal surface to obtain a mucosal image;

Dynamically scan the gums and mucous membranes in the oral cavity to obtain scanned images in different motion states;

According to the scanned images under different motion states, the three-dimensional scanning data of the muscle static area is determined to achieve optical shaping.
The flat mucosa scanning and optical shaping method based on motion monitoring according to claim 1, wherein the microscopic topography includes at least one of stippling, salivary gland openings, and mucosal textures that are naturally present on the surface of the gums and mucosa.
A method of flat mucosa scanning and optical shaping based on motion monitoring, including:

Using a high-resolution camera to identify the microscopic topography of flat gums and mucosal surfaces, combining the microscopic topography into mosaic features as feature marks for scanning image stitching, and performing static scanning based on the feature marks to obtain a mucosal image;

On the basis of the static scan, the patient is allowed to simulate physiological chewing movements, and at the same time, a dynamic scan is performed, and real-time monitoring is performed based on the mucous membrane dynamics and AI, and the three-dimensional scan data of the muscular static area is obtained to realize optical plastic surgery.
The flat mucosa scanning and optical shaping method based on motion monitoring according to claim 3, wherein the microscopic features include stippling, salivary gland openings, and mucosal textures that are naturally present on the surface of the gums and mucosa.
The flat mucosa scanning and optical shaping method based on motion monitoring according to claim 3 or 4, wherein the step of acquiring the three-dimensional scanning data of the muscular static area is:

Continuous multiple scans of different motion states of the same mucosal area to obtain the three-dimensional deviation value of the scan data;

The three-dimensional deviation value is compared with a preset threshold in real time, and the data greater than the preset threshold is the data of the muscular dynamic zone, which is deleted, and the data smaller than the preset threshold is the data of the muscular static zone, which is retained.
The flat mucosa scanning and optical shaping method based on motion monitoring according to any one of claims 3 to 5 method, wherein the step of obtaining the three-dimensional scanning data of the muscle static area is:

Scan the overall gingival mucosa area data under multiple motion states;

Comparing the overall gingival mucosa area data with a preset threshold, and determining the muscular static area according to the contrast difference.
The flat mucosa scanning and optical shaping method based on motion monitoring according to any one of claims 3 to 6, wherein the step of acquiring the three-dimensional scanning data of the muscular static area is:

The threshold range of mucosal activity is set in the intraoral 3D scanner software, and machine learning is performed through the deep learning neural network. After machine learning, the software recognizes the muscle static area and retains it. It identifies the active mucosa as the muscle dynamic area and exceeds the threshold range, and deletes it. .
A flat mucosa scanning and optical shaping system based on motion monitoring, including a feature acquisition module, a static scanning module, a dynamic scanning module, and a real-time monitoring module; wherein,

The feature acquisition module is used to use a high-resolution camera to identify the microscopic topography of flat gums and mucosal surfaces, and combine the microscopic topography into a mosaic feature as a feature mark of scanned image mosaic;

The static scanning module is used to perform static scanning based on the feature marks to obtain mucosal images;

The dynamic scanning module, on the basis of the static scanning, allows the patient to simulate physiological chewing movements while performing dynamic scanning;

The real-time monitoring module is used for real-time monitoring based on the mucous membrane dynamics and AI, to obtain three-dimensional scanning data of the muscular static area, and to realize optical plastic surgery.
A flat oral mucosa scanning and optical shaping system based on motion monitoring, including:

The static scanning module is configured to statically scan the gums and mucous membranes in the oral cavity to obtain multiple scanned images;

The stitching module is configured to stitch the multiple scanned images by using the combined features of the microscopic topography of the gingiva and the mucosal surface to obtain a mucosal image;

The dynamic scanning module is configured to dynamically scan the gums and mucous membranes in the oral cavity to obtain scanned images in different motion states;

The determining module is configured to determine the three-dimensional scanning data of the muscular static area according to the scanning images in different motion states, so as to realize optical shaping.
An oral scanner, comprising: the flat mucosa scanning and optical shaping system based on motion monitoring according to claim 8 or 9.
A flat oral mucosa scanning and optical shaping system based on motion monitoring, including:

storage; and

a processor coupled to the memory, the processor configured to perform the motion monitoring based planar oral mucosa scanning and optical Plastic method.
A computer-readable storage medium, on which computer program instructions are stored, and when the instructions are executed by a processor, the method for flat oral mucosa scanning and optical shaping based on motion monitoring according to any one of claims 1 to 7 is realized .
A computer program comprising:

Instructions, the instructions, when executed by the processor, cause the processor to execute the method for flat oral mucosa scanning and optical shaping based on motion monitoring according to any one of claims 1-7.