Edge line generation method and apparatus for teeth, device and medium

Abstract

An edge line generation method and apparatus for teeth, a device, and a medium. The method comprises: acquiring a three-dimensional dental model marked with a plurality of tooth segmentation regions (S102); identifying tooth feature points of the plurality of tooth segmentation regions (S104); and generating an edge line on the three-dimensional dental model on the basis of the plurality of tooth feature points (S106). The method can improve the efficiency of edge line generation.

Description

Method, device, equipment and medium for generating tooth edge line

[0001] This disclosure claims priority to a Chinese patent application filed with the Patent Office of China on June 30, 2023, with application number 202310804019.0 and invention name “A method, device, apparatus and medium for generating edge lines of teeth”, the entire contents of which are incorporated herein by reference. Technical Field

[0002] The present disclosure relates to the field of intelligent oral medicine technology, and in particular to a method, device, equipment and medium for generating a tooth edge line. Background Art

[0003] With the increasing adoption of digitalization in dentistry, 3D printing for products such as night bruxism pads and orthodontic retainers is becoming increasingly popular. When digitally designing products, the quality of margin line shape significantly impacts both the product's form and wearer comfort. Currently, margin line shape is typically generated by manually drawing margins. This process is cumbersome, resulting in low margin generation efficiency, which further impacts product quality and efficiency.

[0004] Summary of the Invention

[0005] (1) Technical issues to be solved

[0006] The technical problem to be solved by the present disclosure is to resolve the problem that the existing process of adjusting the edge line is very cumbersome, resulting in low efficiency in edge line generation.

[0007] (2) Technical solution

[0008] In order to solve the above technical problems, the embodiments of the present disclosure provide a method, device, equipment and medium for generating a tooth edge line.

[0009] According to one aspect of the present disclosure, a method for generating a tooth edge line is provided, comprising:

[0010] obtaining a three-dimensional tooth model with a plurality of tooth segmentation regions marked thereon;

[0011] Identify tooth feature points of multiple tooth segmentation areas;

[0012] Generate margin lines on a 3D tooth model based on multiple tooth feature points.

[0013] According to another aspect of the present disclosure, there is provided a device for generating a tooth edge line, comprising:

[0014] a model acquisition module configured to acquire a three-dimensional tooth model marked with a plurality of tooth segmentation regions;

[0015] a feature point recognition module configured to recognize tooth feature points of a plurality of tooth segmentation regions;

[0016] The margin line generating module is configured to generate a margin line on the three-dimensional tooth model based on a plurality of tooth feature points.

[0017] According to another aspect of the present disclosure, an electronic device is provided, the electronic device including:

[0018] processor;

[0019] a memory for storing processor-executable instructions;

[0020] The processor is configured to read the executable instructions from the memory and execute the instructions to implement the above-mentioned tooth edge line generation method.

[0021] According to another aspect of the present disclosure, a computer-readable storage medium is provided, wherein the storage medium stores a computer program for executing the above-mentioned method for generating a tooth edge line. (3) Beneficial effects

[0022] The above technical solution provided by the embodiments of the present disclosure has the following advantages compared with the prior art:

[0023] The disclosed embodiments provide a method, apparatus, device, and medium for generating tooth margin lines, including: first obtaining a three-dimensional tooth model labeled with multiple tooth segmentation regions; then identifying tooth feature points in the multiple tooth segmentation regions; and finally generating margin lines on the three-dimensional tooth model based on the multiple tooth feature points. This technical solution automatically identifies the tooth feature points in the tooth segmentation regions and utilizes them to quickly and accurately generate margin lines, eliminating the need for manual adjustment of the margin lines and significantly improving margin line generation efficiency.

[0024] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0026] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0027] FIG1 is a schematic diagram of a tooth edge line provided by an embodiment of the present disclosure;

[0028] FIG2 is a flow chart of a method for generating a tooth edge line according to an embodiment of the present disclosure;

[0029] FIG3 is a schematic diagram of a three-dimensional tooth model provided by an embodiment of the present disclosure;

[0030] FIG4 is a schematic diagram of a buccal-lingual target position according to an embodiment of the present disclosure;

[0031] FIG5 is a schematic diagram of a straight-line edge line provided by an embodiment of the present disclosure;

[0032] FIG6 is a schematic diagram of a curved edge line provided by an embodiment of the present disclosure;

[0033] FIG7 is a schematic diagram of a tooth deformity provided by an embodiment of the present disclosure;

[0034] FIG8 is a structural block diagram of a device for generating a tooth edge line according to an embodiment of the present disclosure;

[0035] FIG9 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0036] To make the objectives, technical solutions, and advantages of the embodiments of the present disclosure more clear, the technical solutions in the embodiments of the present disclosure are clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments of the present disclosure, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present disclosure.

[0037] When digitally designing dental products, margin line morphology is currently typically generated by manually drawing margin lines. Common dental products, such as night bruxism pads and orthodontic retainers, are offshoots of bite pads and are commonly manufactured chairside. The margin lines of night bruxism pads and orthodontic retainers have their own unique characteristics. The specific method for manually drawing margin lines, as shown in Figure 1, involves manually adding points on the surface of the digital dental model to connect a closed margin line (see the black curve in Figure 1). The margin line is then fine-tuned to achieve this. This existing manual margin line generation method has the following major drawbacks: First, the manual point connection method is inefficient, and the margin line adjustment process is cumbersome, especially during chairside design. Second, the need to adjust margin lines individually for each unique dental product further exacerbates the complexity of margin adjustment. Third, margin line morphology depends on the software operator, and there is no standardized morphology standard. Consequently, the above results in low and inconsistent margin line generation efficiency, which further impacts product quality and production efficiency.

[0038] To address the above issues, embodiments of the present disclosure provide a method, device, apparatus, and medium for generating a tooth edge line. For ease of understanding, the embodiments of the present disclosure are described below.

[0039] FIG2 is a flowchart of a method for generating a tooth edge line according to an embodiment of the present disclosure. The method can be executed by a tooth edge line generating device configured on a terminal, and the device can be implemented using software and / or hardware. As shown in FIG2 , the tooth edge line generating method can include the following steps.

[0040] S102: Acquire a three-dimensional tooth model marked with multiple tooth segmentation regions.

[0041] Here, a three-dimensional tooth model with multiple tooth segmentation regions marked can be obtained by the following embodiment:

[0042] A three-dimensional tooth model is obtained by scanning. In a specific example, an intraoral scanning device can be used to perform a global scan of the upper or lower teeth of a person's mouth in real time to obtain a global three-dimensional tooth model.

[0043] Each tooth on the three-dimensional tooth model is segmented using a region segmentation algorithm to obtain a plurality of tooth segmentation regions. In this embodiment, a deep learning model such as Mask R-CNN (Region-Convolutional Neural Networks) can be used to segment each individual tooth on the three-dimensional tooth model using the region segmentation algorithm to obtain a tooth segmentation region for each tooth.

[0044] Then, the tooth segmentation areas are marked on the 3D tooth model according to a preset identification method, such as color identification, bounding box identification, etc. Referring to the 3D tooth model shown in FIG3 , each tooth segmentation area is marked on the 3D tooth model with different color identifications.

[0045] After segmenting each tooth segmentation region, this embodiment can number each tooth segmentation region in a predetermined order to obtain a tooth number, and mark the tooth number on the tooth segmentation region of the 3D tooth model. For example, the tooth number can be determined based on standards such as the FDI (Fédération Dentaire Internationale) tooth position notation and different shapes such as molars, deciduous teeth, permanent teeth, incisors, molars, and incisors.

[0046] The distribution of teeth in the oral cavity is generally as follows: the oral dentition is divided into four regions: upper right, upper left, lower left, and lower right. The upper right region is divided into the first region, i.e., the upper right central incisor is tooth 11. Similarly, the upper right second molar is tooth 17, the upper left central incisor is tooth 21, the upper left second molar is tooth 27, the lower left central incisor is tooth 31, the lower left second molar is tooth 37, the lower right central incisor is tooth 41, the lower right second molar is tooth 47, and so on. In this embodiment, the above distribution arrangement can be used as the order of tooth numbering, where the tooth numbering in the upper right and upper left regions can be referred to as shown in FIG3 .

[0047] According to the above embodiment, a three-dimensional tooth model marked with tooth segmentation areas and tooth numbers is obtained.

[0048] S104: Identify tooth feature points of multiple tooth segmentation areas.

[0049] In this embodiment, the buccal and lingual feature points in multiple tooth segmentation areas can be identified through a preset recognition model to obtain the tooth feature points of each tooth segmentation area at the target position; wherein the target position includes, for example: the lowest point of the buccal and lingual teeth and the buccal and lingual gingival papilla point.

[0050] The aforementioned recognition model can employ models with the ability to identify and extract feature points, such as a shared multi-layer perceptron and a support vector regression model. Taking the shared multi-layer perceptron as an example, it can be used to extract global features of the 3D tooth model and local features of each tooth segmentation region. The global and local features are then fused, and buccal and lingual feature points within each tooth segmentation region are identified based on the fused features, yielding the tooth feature points at the target location for each tooth segmentation region.

[0051] The buccal and lingual directions indicate the position within the mouth based on the position of the buccal and lingual surfaces of the posterior tooth crowns. The buccal and lingual tooth lowest points include the buccal and lingual tooth lowest points, while the buccal and lingual gingival papillae include the buccal and lingual gingival papillae.

[0052] In actual product manufacturing, products with straight boundary lines, such as night bruxism pads, generally use the buccal-lingual lowest point of the teeth as a reference. Products with curved boundary lines, such as orthodontic retainers, generally use the buccal-lingual lowest point of the teeth and the buccal-lingual gingival papilla as references. Therefore, in this embodiment, the buccal-lingual target position can include, for example, the buccal-lingual lowest point of the teeth and the buccal-lingual gingival papilla as shown in Figure 4.

[0053] S106: Generate edge lines on the three-dimensional tooth model based on the multiple tooth feature points.

[0054] This embodiment can generate different types of edge lines based on tooth feature points at different target locations. For ease of understanding, several possible embodiments are provided below.

[0055] In one embodiment, generating a margin line on a three-dimensional tooth model based on a plurality of tooth feature points includes:

[0056] The tooth feature point at the lowest point of the tooth from the buccal to the lingual side of the tooth in the tooth segmentation area is used as the first feature point; in the three-dimensional tooth model, the first feature points of each tooth segmentation area are connected in sequence according to the order of the tooth number to generate a first closed line; spline fitting is performed on the first closed line to obtain a straight line-type edge line on the three-dimensional tooth model.

[0057] In the specific implementation process, for example, in the order of tooth numbers from 17 to 11, 11 to 21, and 21 to 27, and in the order from the buccal side to the lingual side of the three-dimensional tooth model, the first feature points of each tooth segmentation area are connected in sequence to form a first closed line.

[0058] Considering the large distance between each two adjacent first feature points, the first closed line formed directly by connecting the first feature points may be very stiff and not smooth. Based on this, in order to improve the fluidity and smoothness of the line, this embodiment may also add at least one node between each two adjacent first feature points.

[0059] Taking adding a node as an example, in one way of adding a node, the up and down direction of tooth growth can be pre-set as the y-axis, and the direction of left and right arrangement of teeth can be pre-set as the x-axis (refer to Figure 4). Then, based on the average value of the position coordinates of the two adjacent first feature points in the y-axis direction, the first position of the node in the y-axis direction is determined. The position of the buccal-lingual gingival papilla point between the two adjacent first feature points in the x-axis direction is used as the second position of the node in the x-axis direction. Based on the above first and second positions, a node is added between the two adjacent first feature points.

[0060] Then, the first feature points of each tooth segmentation area and the added nodes are connected in sequence according to the order of the tooth numbers to generate a first closed line.

[0061] Next, the first closed line is fitted according to a preset spline fitting function to obtain an optimized straight line type edge line. The straight line type edge line can be shown in Figure 5. It can be understood that the straight line type is relative to the curve type and is not a straight line in the geometric sense.

[0062] This embodiment performs spline fitting on the first closed line, thereby generating a smoother and more fluid edge line without additionally considering the high-order continuity between line segments.

[0063] In one embodiment, generating a margin line on a three-dimensional tooth model based on a plurality of tooth feature points includes:

[0064] The tooth feature points at the lowest point of the buccal and lingual teeth and the gingival papilla point in the tooth segmentation area are used as the second feature point and the third feature point respectively.

[0065] In the three-dimensional tooth model, the second characteristic points and the third characteristic points of each tooth segmentation area are connected in sequence according to the order of the tooth numbers and the contour lines of the tooth segmentation areas to generate a second closed line.

[0066] In a specific embodiment, the method may include determining at least one node at a position other than the second and third feature points on the contour line of the segmented tooth region. The second and third feature points, as well as the nodes on the contour line of the segmented tooth region, are shown in Figures 4 and 6 . The at least one node may be randomly determined on the contour line of the segmented tooth region, or may be evenly spaced along the contour line between the second and third feature points.

[0067] In the order of tooth numbers, the second characteristic points, nodes, and third characteristic points of each tooth segmentation area are connected in sequence to generate a second closed line. Spline fitting is performed on the second closed line to obtain a curved edge line on the three-dimensional tooth model.

[0068] The specific method of generating a curve-type edge line in this embodiment can refer to the method of generating a straight-line-type edge line in the above embodiment.

[0069] In the above embodiments, straight-line edge lines and curved-line edge lines can be applied to dental products with different morphological requirements, such as applying straight-line edge lines to night bruxism pads and applying curved-line edge lines to orthodontic retainers.

[0070] In this embodiment, the generation of a straight line type or a curved line type edge line can be manually selected, or the generation of a straight line type or a curved line type edge line can be automatically selected according to pre-set type information.

[0071] Accordingly, this embodiment may include: obtaining preset type information, the type information is used to indicate whether the type of the edge line to be generated is a straight line type or a curve type; based on multiple tooth feature points, generating an edge line matching the type information on the three-dimensional tooth model.

[0072] The type information may be, for example, user medical records. This information generally specifies the type of orthodontic treatment the user requires, and the type of margin line corresponding to each type of orthodontic treatment is fixed. Therefore, the type information of the margin line to be generated can be determined based on the user medical records. Of course, the above is merely an example of type information and should not be construed as limiting.

[0073] In actual users' teeth, there may be deformities such as crowded teeth and missing teeth. To address this situation, when generating edge lines on a three-dimensional tooth model based on multiple tooth feature points, the following embodiment can be used as a reference.

[0074] As shown in Figure 7, in this embodiment, based on each tooth segmentation area, the target teeth that are crowded and misplaced in the three-dimensional tooth model are determined; among the tooth feature points corresponding to each target tooth, the tooth feature point located on the outside is retained and used as the fourth feature point; based on the fourth feature point and the tooth feature points corresponding to other teeth except the target tooth, the edge line is generated on the three-dimensional tooth model.

[0075] In a specific example, the presence of a crowded or misplaced target tooth in a 3D tooth model can be determined based on the image overlap area between the tooth segmentation regions. Alternatively, the presence of a crowded or misplaced target tooth in a 3D tooth model can be determined based on the positional information of the tooth segmentation regions; the positional information may include, but is not limited to, at least one of the following: the center point of the tooth segmentation region, the positions of the boundary points along the mesial and distal directions, and the positions of the boundary points along the buccal and lingual directions.

[0076] When a 3D dental model identifies crowded and misaligned target teeth, each target tooth has its own corresponding tooth feature point, and these feature points are arranged chaotically due to the crowding and misalignment of the target teeth. Therefore, to avoid generating chaotic edge lines, these chaotically arranged tooth feature points require noise reduction. In this case, this embodiment removes the center tooth feature point corresponding to each target tooth based on its positional coordinates, retaining only the outermost tooth feature point as the fourth feature point. See Figure 7 for an example.

[0077] After the previously chaotically arranged tooth feature points at the target tooth are processed as fourth feature points, edge lines can be generated on the 3D tooth model based on the fourth feature points and the tooth feature points corresponding to other teeth other than the target tooth. It is understood that the implementation process of this step can be referred to the previous embodiment and will not be repeated here.

[0078] In this embodiment, a target gap in a three-dimensional tooth model where a tooth is missing is determined based on each tooth segmentation area; the tooth feature points of two tooth segmentation areas adjacent to the target gap are used as fifth feature points, and a gap-filling line with the shortest path is generated between the fifth feature points; and an edge line is generated on the three-dimensional tooth model based on multiple tooth feature points and the gap-filling lines at the target gap.

[0079] Specifically, the presence of target gaps in the 3D dental model for missing teeth can be determined based on the image overlap area between the segmented tooth regions, the tooth numbers, or the positional information of the segmented tooth regions. For example, since tooth numbers are determined based on standards such as the FDI tooth position notation and the different shapes of molars, deciduous teeth, permanent teeth, incisors, molars, and incisors, if there are skipped numbers in the final determined tooth numbers, it can be determined that there are missing teeth in the 3D dental model.

[0080] When it is determined that there is a target gap with missing teeth in the three-dimensional tooth model, since there are no teeth at the target gap, tooth feature points such as the lowest point of the buccal and lingual teeth cannot be accurately identified, which may affect the continuity of the edge line; therefore, in order to generate a coherent and smooth edge line, this embodiment can supplement lines or feature points at the target gap.

[0081] If a curved edge line is desired, the tooth feature points of the two tooth segmentation areas adjacent to the target gap can be used as fifth feature points. These fifth feature points are represented by the two points a and c in Figure 7 . At the target gap, a gap-filling line with the shortest path between the two adjacent fifth feature points is generated, with the two fifth feature points as endpoints. This gap-filling line is the line connecting points a and c in Figure 7 (it should be understood that this line is not shown in the diagram).

[0082] Next, based on the multiple tooth feature points and the gap-filling lines at the target gaps, margin lines are generated on the 3D tooth model. For areas with teeth other than the target gaps, this embodiment follows the same approach as in the previous embodiment, sequentially connecting the tooth feature points in each segmented tooth area. When a target gap is encountered, a gap-filling line is generated at the target gap, and the tooth feature points are then connected again, ultimately generating a linear margin line.

[0083] If a curved edge line needs to be generated (as shown in FIG7 ), a sixth characteristic point can be determined based on the target gap. The sixth characteristic point is the point marked by b in FIG7 . This point can be the gingival papilla point determined by the algorithm based on the judgment rule of a tooth to identify the target gap. Although the gingival papilla point determined in this way is not accurate enough, it still retains the gingival curvature information required for generating a curved edge line, and can thus be used to generate a retainer that conforms to the patient's specific dentition.

[0084] Then, based on the plurality of tooth feature points and the sixth feature point, a curved edge line is generated on the three-dimensional tooth model. It is understood that the implementation process of this step can refer to the above embodiment and will not be repeated here.

[0085] According to the above embodiment, another method for generating a tooth edge line is provided, comprising the following steps.

[0086] (1) Obtain a three-dimensional tooth model through scanning.

[0087] (2) Each tooth on the three-dimensional tooth model is segmented according to the region segmentation algorithm to obtain multiple tooth segmentation regions.

[0088] (3) Mark the tooth segmentation area on the three-dimensional tooth model according to the preset identification method.

[0089] (4) Number the tooth segmentation areas and mark the tooth numbers on the 3D tooth model.

[0090] (5) The buccal and lingual feature points in the plurality of tooth segmentation areas are identified by a preset recognition model to obtain the tooth feature points at the target position of each tooth segmentation area; wherein the target position includes: the lowest point of the buccal and lingual teeth and the buccal and lingual gingival papilla point.

[0091] (6) Obtaining preset type information; if the type information is used to indicate that the type of the edge line to be generated is a straight line type, executing the following step (7); if the type information is used to indicate that the type of the edge line to be generated is a curve type, executing the following step (8).

[0092] (7) In the three-dimensional tooth model, the first feature points of each tooth segmentation area are connected in sequence according to the order of tooth numbering to generate a first closed line; the first feature point is the tooth feature point at the lowest point of the buccal-lingual tooth; the first closed line is spline fitted to obtain a straight-line edge line on the three-dimensional tooth model.

[0093] (8) In the three-dimensional tooth model, the second characteristic points and the third characteristic points of each tooth segmentation area are connected in sequence according to the order of tooth numbering and the contour line of the tooth segmentation area to generate a second closed line; the second characteristic point and the third characteristic point are respectively: the tooth characteristic points at the lowest point of the buccal and lingual teeth and the gingival papilla point; the second closed line is spline fitted to obtain a curved edge line on the three-dimensional tooth model.

[0094] In the above steps (7) and (8), the process of treating target teeth that are crowded and misplaced, and target spaces where teeth are missing may be included.

[0095] In summary, the disclosed embodiments provide a method for generating tooth margin lines, comprising: first acquiring a three-dimensional tooth model labeled with multiple tooth segmentation regions; then identifying tooth feature points in the multiple tooth segmentation regions; and finally generating margin lines on the three-dimensional tooth model based on the multiple tooth feature points. This technical solution automatically identifies the tooth feature points in the tooth segmentation regions and utilizes these features to quickly and accurately generate margin lines, eliminating the need for manual adjustment of the margin lines and significantly improving margin line generation efficiency.

[0096] At the same time, in the process of generating edge lines, the accuracy of edge lines can be improved through spline fitting; the tooth features at different target positions can be used to generate straight line and curve type edge lines, meeting the different requirements of different dental products for edge line shapes; therefore, the disclosed method of generating edge lines can ensure that the edge lines have high-quality geometric shapes in terms of accuracy and shape, which is beneficial to improving the wearing comfort of dental products such as tooth pads, and improving product quality and production efficiency.

[0097] FIG8 is a block diagram of a tooth edge line generation device provided by an embodiment of the present disclosure, which is used to implement the above-mentioned tooth edge line generation method. As shown in FIG8 , the tooth edge line generation device includes:

[0098] The model acquisition module 210 is configured to acquire a three-dimensional tooth model marked with a plurality of tooth segmentation regions;

[0099] A feature point recognition module 220 is configured to recognize tooth feature points of a plurality of tooth segmentation regions;

[0100] The margin line generating module 230 is configured to generate a margin line on the three-dimensional tooth model based on a plurality of tooth feature points.

[0101] In one embodiment, the feature point recognition module 220 is further configured to:

[0102] The buccal and lingual feature points in multiple tooth segmentation areas are identified through a preset recognition model to obtain the tooth feature points at the target position of each tooth segmentation area; wherein the target position includes: the lowest point of the buccal and lingual teeth and the buccal and lingual gingival papilla point.

[0103] In one embodiment, the three-dimensional tooth model is marked with tooth numbers; the edge line generation module 230 is further configured to:

[0104] The tooth feature point at the lowest point of the buccal-lingual tooth in the tooth segmentation area is taken as the first feature point;

[0105] In the three-dimensional tooth model, first characteristic points of each tooth segmentation area are connected in sequence according to the order of tooth numbers to generate a first closed line;

[0106] Spline fitting is performed on the first closed line to obtain a straight-line edge line on the three-dimensional tooth model.

[0107] In one embodiment, the three-dimensional tooth model is marked with tooth numbers; the edge line generation module 230 is further configured to:

[0108] The tooth feature points at the lowest point of the buccal and lingual teeth and the gingival papilla point in the tooth segmentation area are used as the second feature point and the third feature point respectively;

[0109] In the three-dimensional tooth model, the second characteristic points and the third characteristic points of each tooth segmentation area are connected in sequence according to the order of the tooth numbers and the contour lines of the tooth segmentation areas to generate a second closed line;

[0110] Spline fitting is performed on the second closed line to obtain a curved edge line on the three-dimensional tooth model.

[0111] In one embodiment, the edge line generation module 230 is further configured to:

[0112] Determine at least one node at a position other than the second feature point and the third feature point on the contour line of the tooth segmentation area;

[0113] According to the order of the tooth numbers, the second characteristic points, the nodes and the third characteristic points of each tooth segmentation area are connected in sequence to generate a second closed line.

[0114] In one embodiment, the model acquisition module 210 is further configured to:

[0115] Obtain a three-dimensional tooth model through scanning;

[0116] Performing regional segmentation on each tooth on the three-dimensional tooth model according to a regional segmentation algorithm to obtain multiple tooth segmentation regions;

[0117] Mark the tooth segmentation area on the 3D tooth model according to the preset identification method.

[0118] In one embodiment, the edge line generation module 230 is further configured to:

[0119] According to the segmented areas of each tooth, target teeth with crowding and dislocation in the three-dimensional tooth model are determined;

[0120] Among the tooth feature points corresponding to each target tooth, retain the tooth feature point located on the outside and use it as the fourth feature point;

[0121] Based on the fourth feature point and the tooth feature points corresponding to other teeth except the target tooth, a margin line is generated on the three-dimensional tooth model.

[0122] In one embodiment, the edge line generation module 230 is further configured to:

[0123] Determine the target gaps where teeth are missing in the three-dimensional tooth model based on the segmented areas of each tooth;

[0124] The tooth feature points of the two tooth segmentation areas adjacent to the target gap are used as the fifth feature points, and the shortest path gap filling line is generated between the fifth feature points;

[0125] Generate margin lines on the 3D tooth model based on multiple tooth feature points and gap filling lines at the target gaps;

[0126] or,

[0127] Determine a sixth feature point according to the target gap;

[0128] A margin line is generated on the three-dimensional tooth model based on the plurality of tooth feature points and the sixth feature point.

[0129] In one embodiment, the edge line generation module 230 is further configured to:

[0130] Obtaining preset type information, where the type information is used to indicate whether the type of the edge line to be generated is a straight line type or a curve type;

[0131] Based on multiple tooth feature points, a margin line matching the type information is generated on the 3D tooth model.

[0132] The device provided in this embodiment has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.

[0133] FIG9 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure. As shown in FIG9 , the electronic device 300 includes one or more processors 301 and a memory 302 .

[0134] The processor 301 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 300 to perform desired functions.

[0135] The memory 302 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Non-volatile memory may include, for example, read-only memory (ROM), a hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 301 may execute the program instructions to implement the tooth edge line generation method of the embodiment of the present disclosure described above and / or other desired functions. Various contents such as input signals, signal components, noise components, etc. may also be stored in the computer-readable storage medium.

[0136] In one example, the electronic device 300 may further include an input device 303 and an output device 304 , and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0137] In addition, the input device 303 may also include, for example, a keyboard, a mouse, and the like.

[0138] The output device 304 can output various information to the outside, including determined distance information, direction information, etc. The output device 304 can include, for example, a display, a speaker, a printer, a communication network and its connected remote output device, etc.

[0139] Of course, for the sake of simplicity, FIG9 only shows some of the components related to the present disclosure in the electronic device 300, omitting components such as buses, input / output interfaces, etc. In addition, the electronic device 300 may further include any other appropriate components according to specific application scenarios.

[0140] Furthermore, this embodiment also provides a computer-readable storage medium, which stores a computer program, and the computer program is used to execute the above-mentioned method for generating a tooth edge line.

[0141] The embodiments of the present disclosure provide a computer program product of a method, device, electronic device, and medium for generating edge lines of teeth, including a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the method in the previous method embodiment. For specific implementation, please refer to the method embodiment and will not be repeated here.

[0142] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0143] The foregoing description is intended only to provide specific embodiments of the present disclosure, which will enable those skilled in the art to understand and implement 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 is not intended to be limited to the embodiments shown herein, but rather to be construed in the broadest manner consistent with the principles and novel features disclosed herein. Industrial Applicability

[0144] The tooth edge line generation method provided by the present disclosure can automatically identify the tooth feature points of the tooth segmentation area, and can quickly and accurately generate edge lines using the tooth feature points without the need for manual adjustment of the edge lines. It can significantly improve the efficiency of edge line generation and has strong industrial applicability.

Claims

1. A method for generating a tooth edge line, comprising: Acquire a three-dimensional tooth model with a plurality of tooth segmentation regions marked; Identifying tooth feature points of a plurality of tooth segmentation regions; A margin line is generated on the three-dimensional tooth model based on the plurality of tooth feature points.

2. The method according to claim 1, wherein the step of identifying a plurality of tooth feature points of the tooth segmentation area comprises: The buccolingual feature points in the plurality of tooth segmentation areas are identified by a preset recognition model to obtain the tooth feature points of each tooth segmentation area at a target position; wherein the target position includes: the lowest point of the buccolingual teeth and the buccolingual gingival papilla point.

3. The method according to claim 2, wherein the three-dimensional tooth model is marked with a tooth number; Generating edge lines on the three-dimensional tooth model based on the plurality of tooth feature points comprises: Taking the tooth feature point at the lowest point of the buccal-lingual tooth in the tooth segmentation area as the first feature point; In the three-dimensional tooth model, the first feature points of each tooth segmentation area are sequentially connected in the order of the tooth numbers to generate a first closed line; Spline fitting is performed on the first closed line to obtain a straight line edge line on the three-dimensional tooth model.

4. The method according to claim 2, wherein the three-dimensional tooth model is marked with a tooth number; Generating edge lines on the three-dimensional tooth model based on the plurality of tooth feature points comprises: The tooth feature points at the lowest point of the buccal and lingual teeth and the gingival papilla point of the tooth segmentation area are respectively used as the second feature point and the third feature point; In the three-dimensional tooth model, in the order of the tooth numbers and according to the contour lines of the tooth segmentation areas, the second characteristic points and the third characteristic points of each tooth segmentation area are sequentially connected to generate a second closed line; Spline fitting is performed on the second closed line to obtain a curve-type edge line on the three-dimensional tooth model.

5. The method according to claim 4, wherein the second characteristic points and the third characteristic points of each tooth segmentation area are sequentially connected in the order of the tooth numbers and according to the contour lines of the tooth segmentation areas to generate a second closed line, comprising: Determine at least one node at a position other than the second feature point and the third feature point on the contour line of the tooth segmentation area; The second characteristic points, the nodes and the third characteristic points of each tooth segmentation area are connected in sequence according to the order of the tooth numbers to generate a second closed line.

6. The method according to claim 1, wherein obtaining a three-dimensional tooth model with a plurality of tooth segmentation regions marked thereon comprises: Obtain a three-dimensional tooth model through scanning; Performing regional segmentation on each tooth on the three-dimensional tooth model according to a regional segmentation algorithm to obtain a plurality of tooth segmentation regions; The tooth segmentation area is marked on the three-dimensional tooth model according to a preset marking method.

7. The method according to claim 1, wherein generating edge lines on the three-dimensional tooth model based on the plurality of tooth feature points comprises: Determining, according to each of the tooth segmentation regions, target teeth that are crowded and misplaced in the three-dimensional tooth model; Among the tooth feature points corresponding to the target teeth, retain the tooth feature point located on the outside as the fourth feature point; Based on the fourth feature point and tooth feature points corresponding to other teeth except the target tooth, a margin line is generated on the three-dimensional tooth model.

8. The method according to claim 1 or 7, wherein generating edge lines on the three-dimensional tooth model based on the plurality of tooth feature points comprises: Determining a target gap where a tooth is missing in the three-dimensional tooth model according to each of the tooth segmentation regions; Taking the tooth feature points of two tooth segmentation areas adjacent to the target gap as fifth feature points, and generating a gap-filling line with the shortest path between the fifth feature points; Generating a margin line on the three-dimensional tooth model based on the plurality of tooth feature points and the gap-filling line at the target gap; or, Determining a sixth feature point according to the target gap; Based on the plurality of tooth feature points and the sixth feature point, a margin line is generated on the three-dimensional tooth model.

9. The method according to claim 1, wherein generating edge lines on the three-dimensional tooth model based on the plurality of tooth feature points comprises: Acquire preset type information, where the type information is used to indicate whether the type of the edge line to be generated is a straight line type or a curve type; Based on the plurality of tooth feature points, a margin line matching the type information is generated on the three-dimensional tooth model.

10. A device for generating a tooth edge line, comprising: A model acquisition module is configured to acquire a three-dimensional tooth model marked with a plurality of tooth segmentation regions; A feature point recognition module, configured to recognize tooth feature points of a plurality of the tooth segmentation areas; The edge line generating module is configured to generate an edge line on the three-dimensional tooth model based on a plurality of the tooth feature points.

11. An electronic device, comprising: processor; a memory for storing instructions executable by the processor; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method described in any one of claims 1 to 9.

12. A computer-readable storage medium, wherein instructions are stored in the computer-readable storage medium. When the instructions are executed on a terminal device, the terminal device implements the method according to any one of claims 1 to 9.

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