A method and system for constructing a digital periodontal lesion model

Abstract

The present invention provides a method and system for constructing a digital periodontal lesion model. The method uses an intraoral scanner and a CBCT to scan the oral cavity to be measured respectively, and obtains the first three-dimensional morphological data including the dental crowns and gums in the patient's oral cavity and the second three-dimensional morphological data including the patient's teeth and alveolar bone respectively; the three-dimensional morphological data are fused by the same crown morphology to obtain a three-dimensional visualization model of the oral cavity to be measured including oral soft and hard tissue information; generating a target marking line in the oral cavity model to be measured; obtaining a target area according to the target marking line; automatically measuring the target data of the representative measurement sites of each tooth and outputting the results; rendering the target area and outputting the rendered oral cavity model to be measured with the target area. The present invention shortens the periodontal examination and diagnosis time, reduces the waste of human resources, improves work efficiency, and enables the accurate and intuitive three-dimensional display of the subgingival periodontal lesion areas that are not directly visible.

Description

Technical Field

[0001] The present invention belongs to the field of oral examination, and particularly relates to a method and system for constructing a digital periodontal lesion model. Background Art

[0002] Periodontal disease is one of the common diseases in stomatology, and its diagnosis and treatment are crucial for maintaining oral health. Traditional periodontal probing techniques rely on dentists using periodontal probes to manually measure the depth of periodontal pockets and record the periodontal conditions. Although this method can provide direct clinical information, it has many limitations.

[0003] Firstly, the accuracy of manual measurement is affected by the doctor's experience and skills, and there may be differences in the measurement results among different doctors. Secondly, the whole process takes a long time. Especially in full-mouth periodontal probing, each tooth needs to be measured one by one, which not only increases the discomfort of the patient but also reduces the diagnosis and treatment efficiency. Finally, the cooperation of nurses for recording is required, increasing the labor cost and operation complexity. Summary of the Invention

[0004] In view of the above deficiencies of the prior art, the purpose of the invention is to provide a method and system for constructing a digital periodontal lesion model.

[0005] The first aspect of the present invention provides a method for constructing a digital periodontal lesion model, including:

[0006] S1: Scanning the oral cavity to be measured through an intraoral scanner and a CBCT respectively to obtain first three-dimensional morphological data and second three-dimensional morphological data;

[0007] S2: Fusing the first three-dimensional morphological data and the second three-dimensional morphological data to obtain an oral cavity model to be measured;

[0008] S3: Generating a target landmark line from the oral cavity model to be measured;

[0009] S4: Obtaining a target area according to the annotation of the target landmark line;

[0010] S5: Rendering the target area, and outputting the rendered oral cavity model to be measured with the target area to complete the construction of the digital periodontal lesion model.

[0011] According to the method for constructing a digital periodontal lesion model provided by the present invention, the first three-dimensional morphological data in step S1 corresponds to the teeth and gums of the oral cavity to be measured, and the second three-dimensional morphological data corresponds to the teeth and alveolar bone of the oral cavity to be measured.

[0012] According to the method for constructing a digital periodontal lesion model provided by the present invention, the target landmark line in step S3 specifically includes:

[0013] Gingival margin connection line;

[0014] Enamel-cementum junction connection line;

[0015] Alveolar bone coronal margin connection line;

[0016] A parallel curve at a first preset distance from the coronal side of the alveolar bone margin line.

[0017] According to a method for constructing a digital periodontal lesion model provided by the present invention, the first preset distance is 2 mm.

[0018] According to a method for constructing a digital periodontal lesion model provided by the present invention, step S3 further includes:

[0019] S31: Generating a classification of the molar root furcation lesion through the oral cavity model to be measured.

[0020] According to a method for constructing a digital periodontal lesion model provided by the present invention, the target area in step S4 is an area with the gingival margin line as the coronal boundary and the parallel curve as the root boundary.

[0021] According to a method for constructing a digital periodontal lesion model provided by the present invention, step S5 further includes:

[0022] S51: Rendering the root surface within the target area and the molar root furcation lesion area to obtain a first lesion area;

[0023] S52: Rendering the area in the first lesion area where the damage depth is greater than or equal to a second preset distance to obtain a second lesion area;

[0024] S53: Outputting the oral cavity model to be measured including the rendered first lesion area and the second lesion area to complete the construction of the digital periodontal lesion model.

[0025] According to a method for constructing a digital periodontal lesion model provided by the present invention, the second preset distance in step S52 is 4 mm.

[0026] According to a method for constructing a digital periodontal lesion model provided by the present invention, the rendering color of the second lesion area in step S52 is different from the rendering color of the first lesion area.

[0027] The second aspect of the present invention provides a digital periodontal lesion model construction system for executing a digital periodontal lesion model construction method as described in any one of the above, including:

[0028] Acquisition module: used to collect the first three-dimensional morphological data and the second three-dimensional morphological data obtained by respectively scanning the oral cavity to be measured with an intraoral scanner and a CBCT;

[0029] Fusion module: used to fuse the first three-dimensional morphological data and the second three-dimensional morphological data to obtain an oral cavity model to be measured;

[0030] Marker line annotation module: used to generate target marker lines through the oral cavity model to be measured;

[0031] Region of interest annotation module: used to annotate the target region according to the target marker lines;

[0032] Rendering module: render the target region and output the rendered oral cavity model to be measured with the target region to complete the construction of the digital periodontal lesion model.

[0033] The beneficial effects of the present invention are as follows:

[0034] A method and system for constructing a digital periodontal lesion model provided by the present invention aims to solve the problems of low efficiency, limited accuracy, and inconvenient data management existing in the existing periodontal lesion diagnosis methods. By constructing a digital periodontal lesion model based on the fusion of oral scan and CBCT data, the accurate visualization of the periodontal lesion area is realized, the accuracy of diagnosis and the pertinence of treatment are improved. In addition, the present invention also improves the patient's diagnosis and treatment experience and reduces the patient's discomfort.

[0035] A method and system for constructing a digital periodontal lesion model provided by the present invention can make the diagnosis result more reliable, greatly shorten the diagnosis time, reduce the waste of human resources, improve the work efficiency. In addition, the subgingival periodontal lesion area that is not directly visible can be intuitively and stereoscopically displayed, which is also conducive to the comparison before and after periodontal disease treatment, long-term tracking and management, and improves the efficiency and accuracy of data management. Description of the Drawings

[0036] The drawings are only for the purpose of showing specific embodiments and are not considered to be a limitation of the present invention. Throughout the drawings, the same reference signs represent the same components. Obviously, the drawings in the following description are only some embodiments described in the embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings.

[0037] Figure 1 It is a schematic flowchart of a method for constructing a digital periodontal lesion model provided by an embodiment of the present invention;

[0038] Figure 2 It is a schematic structural diagram of a system for constructing a digital periodontal lesion model provided by an embodiment of the present invention.

[0039] Reference Numerals:

[0040] 100, Acquisition Module; 200, Fusion Module; 300, Marking Line Annotation Module; 400, Region of Interest Annotation Module; 500, Rendering Module. Detailed Embodiments

[0041] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. It should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0042] In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily confusing the concepts disclosed in the present invention.

[0043] In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. The terms "installed", "connected", "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0044] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all the embodiments consistent with the present invention. On the contrary, they are merely examples of methods and systems consistent with some aspects of the present invention as detailed in the appended claims.

[0045] To better understand the present invention, the following explains the nouns that appear in the embodiments of the present invention.

[0046] CBCT: The abbreviation of Cone beam CT, i.e., cone beam CT, which is a commonly used oral imaging examination method.

[0047] The following will Figures 1 to 2 describe the embodiments of the present invention.

[0048] As Figure 1 shown, the first aspect of the present invention provides a method for constructing a digital periodontal lesion model, including:

[0049] S1: Scan the oral cavity to be measured through an intraoral scanner and CBCT respectively, and obtain the first three-dimensional morphological data and the second three-dimensional morphological data respectively.

[0050] Among them, the first three-dimensional morphological data in step S1 corresponds to the teeth and gums of the oral cavity to be measured, and the second three-dimensional morphological data corresponds to the teeth and alveolar bone of the oral cavity to be measured.

[0051] In this stage, first, use a high-precision intraoral scanner to scan the patient's oral cavity to obtain the three-dimensional morphological data of the teeth and gums in the oral cavity; secondly, obtain the three-dimensional morphological data of the teeth and alveolar bone through CBCT scanning, providing basic data for subsequent data fusion and model construction.

[0052] S2: Fuse the first three-dimensional morphological data and the second three-dimensional morphological data to obtain a model of the oral cavity to be measured.

[0053] In step S2, through algorithm development, the intraoral scan data and CBCT data are intelligently fused through the same crown morphology to generate a multi-modal digital oral model.

[0054] Specifically, during data fusion, first, it is necessary to segment the point cloud data of the crown part from the intraoral scan data and CBCT data, and then use a filtering algorithm to remove the noise in the point cloud data to improve the data quality. Subsequently, through the iterative closest point algorithm, that is, by iteratively finding the closest point pairs and minimizing the distance between the point pairs to optimize the transformation matrix, aligning the data from different sources to the same coordinate system. After registration, the crown point clouds of the intraoral scan data and CBCT data are fused into a unified point cloud model, and finally, using the fused point cloud data, a three-dimensional surface model is generated by using a surface reconstruction algorithm.

[0055] S3: Generate target landmark lines from the model of the oral cavity to be measured.

[0056] Among them, the target landmark lines in step S3 specifically include:

[0057] The connecting line of the gingival margin;

[0058] The connecting line of the cementoenamel junction;

[0059] The line connecting the crown edge of the alveolar bone;

[0060] A parallel curve at a first preset distance from the coronal side of the alveolar bone edge line.

[0061] In a specific embodiment, at the positions of six locations, namely, buccal mesial, buccal center, buccal distal, lingual mesial, lingual center, and lingual distal, of each tooth, the distance between the parallel curves from the gingival margin line to the coronal side of the alveolar bone margin line at a first preset distance is automatically measured and rounded to 1 mm as the probing depth of this location.

[0062] At the above 6 sites, the distance between the parallel curves of the enamel-cementum boundary and the alveolar bone edge line coronally at the first preset distance was automatically measured and rounded to 1 mm, which was taken as the attachment loss at this site.

[0063] The distance between the enamel-cementum boundary and the gingival margin line was measured at the above 6 sites and rounded to 2 mm as the gingival recession at this site. If the enamel-cementum boundary line is on the coronal side of the gingival margin line, the value is set as a positive value; if the enamel-cementum boundary line is on the basal side of the gingival margin line, the value is set as a negative value.

[0064] The first preset distance is 1 mm or 2 mm, preferably 2 mm.

[0065] In step S3, the gingival margin line and the alveolar bone margin line are first automatically identified in the digital model obtained in step S2, and a parallel curve 2 mm coronally away from the alveolar bone margin line is intelligently generated. This step is crucial for determining the scope of the periodontal lesion area.

[0066] Wherein, step S3 also includes:

[0067] S31: Generate a classification of molar root bifurcation lesions using the oral model to be tested.

[0068] Furthermore, through the aforementioned target marking line, the measured probing depth, attachment loss, gingival recession values, and the classification of molar root bifurcation lesions can be output in the form of a periodontal examination table. The classification of molar root bifurcation lesions helps doctors understand the severity and clinical manifestations of the lesions, so as to formulate appropriate treatment plans. They are divided into grade I, grade II, grade III, and grade IV lesions. Grade I lesions are characterized by early stage lesions, periodontal pocket depth reaching the root bifurcation, and the root bifurcation can be probed, but the alveolar bone absorption is slight. Grade II lesions are characterized by bone absorption in the bifurcation area of ​​multiple roots, but not connected to the opposite side. Grade III lesions are characterized by complete absorption of the interroot alveolar bone, the probe can pass through, and is covered by the soft tissue of the periodontal pocket, and is not directly exposed to the oral cavity. Grade IV lesions are characterized by complete destruction of the root bone interval, gingival recession, and a completely open root bifurcation area that can be viewed directly.

[0069] S4: Obtain a target area based on the obtained target landmark line annotation.

[0070] Among them, the target area in step S4 is an area with the gingival margin line as the coronal boundary and the parallel curve as the root boundary.

[0071] In step S4, based on the landmark lines identified in step S3, use 3D modeling software to outline the root surface of the area of interest, that is, with the gingival margin line as the coronal boundary and a parallel curve 2 mm coronal to the alveolar bone margin line as the root boundary, and define the root surface within this range as the area to be highlighted for periodontal lesions. This step provides a basis for visualization and makes the periodontal lesion area more intuitive.

[0072] S5: Render the target area and output the tested oral model with the rendered target area to complete the construction of the digital periodontal lesion model.

[0073] Among them, step S5 further includes:

[0074] S51: Render the root surface within the target area and the molar root furcation lesion area to obtain a first lesion area;

[0075] S52: Render the area in the first lesion area where the damage depth is greater than or equal to a second preset distance to obtain a second lesion area;

[0076] Among them, the second preset distance in step S52 is 4 mm.

[0077] Among them, the rendering color of the second lesion area in step S52 is different from the rendering color of the first lesion area.

[0078] S53: Output the tested oral model including the rendered first lesion area and the second lesion area to complete the construction of the digital periodontal lesion model.

[0079] In step S5, through image rendering output, the root surface within the above boundaries and the molar root furcation lesion area are highlighted, creating a three-dimensional image of the periodontal subgingival lesion area with a realistic appearance and texture, and highlighting the area where ≥4 mm is located to achieve the purpose of highlighting the details of the periodontal lesion area and related structures. This step further enhances the visualization effect of the model, enabling doctors to more clearly identify and evaluate the scope and degree of periodontal lesions.

[0080] As Figure 2 shown, the second aspect of the present invention provides a digital periodontal lesion model construction system for executing a digital periodontal lesion model construction method as described in any one of the above, including:

[0081] Acquisition module 100: used to collect first three-dimensional morphological data and second three-dimensional morphological data obtained by scanning the oral cavity to be tested by intraoral scanner and CBCT respectively;

[0082] Fusion module 200: used for fusing the first three-dimensional morphological data and the second three-dimensional morphological data to obtain an oral cavity model to be tested;

[0083] The landmark marking module 300 is used to generate a target landmark through the oral cavity model to be tested;

[0084] The interest area marking module 400 is used to obtain the target area according to the target marking line;

[0085] Rendering module 500: Rendering the target area, and outputting the rendered oral cavity model to be tested with the target area, so as to complete the construction of the digital periodontal lesion model.

[0086] The model obtained by the digital periodontal lesion model construction method and system provided by the present invention can be used for displaying patients in doctor-patient communication, intuitively showing patients the individual periodontal condition, especially the level of periodontal destruction, informing them of the treatment process and possible outcomes, and making the display effect clearer and more intuitive; in addition, by constructing the digital model, the fully automatic artificial intelligence technology is used to automatically identify and three-dimensionally display the periodontal subgingival lesion area, focusing on the anatomical morphology of the root bifurcation area, providing doctors with certain data guidance when performing non-direct subgingival scaling and root planing treatment; and not only can the patient's disease characteristics at different stages be digitally recorded and stored, but also the treatment effects before and after treatment or long-term follow-up of patients can be intelligently compared.

[0087] The present invention provides a method and system for constructing a digital periodontal lesion model. The method and system address the time-consuming and labor-intensive problems in traditional periodontal examination tables, the pain felt by patients during examination, and the errors that may occur during the doctor's examination due to probing angle, force, and subgingival tartar obstruction. Based on artificial intelligence, a three-dimensional visualization model of digital periodontal subgingival lesions is automatically constructed, in order to reduce doctor examination errors, improve efficiency, reduce personnel requirements, avoid patient pain, improve doctor-patient communication, and facilitate long-term storage or analysis of data.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the embodiments of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. Any changes or replacements that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for constructing a digital periodontal lesion model, characterized in that: include: S1: Scan the oral cavity to be tested by an intraoral scanner and CBCT respectively to obtain first three-dimensional morphological data and second three-dimensional morphological data respectively; S2: fusing the first three-dimensional morphological data and the second three-dimensional morphological data to obtain an oral cavity model to be tested; S3: generating a target landmark line from the oral cavity model to be tested; S4: Obtaining a target area according to the target marking line; S5: Rendering the target area, and outputting the rendered oral cavity model to be tested with the target area, so as to complete the construction of the digital periodontal lesion model; Wherein, step S5 further comprises: S51: performing image rendering on the tooth root surface and the molar root bifurcation lesion area in the target area to obtain a first lesion area; S52: performing image rendering on a region in the first lesion region where the damage depth is greater than or equal to a second preset distance to obtain a second lesion region; S53: Outputting the oral cavity model to be tested including the rendered first lesion area and the second lesion area to complete the construction of the digital periodontal lesion model.

2. A method for constructing a digital periodontal lesion model according to claim 1, characterized in that: The first three-dimensional morphological data in step S1 corresponds to the teeth and gums of the oral cavity to be tested, and the second three-dimensional morphological data corresponds to the teeth and alveolar bones of the oral cavity to be tested.

3. A method for constructing a digital periodontal lesion model according to claim 1, characterized in that: The target marking line in step S3 specifically includes: Gingival margin line; The cementoenamel junction line; The line connecting the crown edge of the alveolar bone; A parallel curve at a first preset distance from the coronal side of the alveolar bone edge line.

4. A method for constructing a digital periodontal lesion model according to claim 3, characterized in that: The first preset distance is 2 mm.

5. The method for constructing a digital periodontal lesion model according to claim 1, characterized in that: Step S3 also includes: S31: Generate a classification of molar root bifurcation lesions using the oral model to be tested.

6. A method for constructing a digital periodontal lesion model according to claim 3, characterized in that: The target area in step S4 is an area with the gingival margin connecting line as the coronal boundary and the parallel curve as the root boundary.

7. A method for constructing a digital periodontal lesion model according to claim 1, characterized in that: The second preset distance in step S52 is 4 mm.

8. The method for constructing a digital periodontal lesion model according to claim 1, characterized in that: The rendering color of the second lesion area in step S52 is different from the rendering color of the first lesion area.

9. A digital periodontal lesion model construction system, used to execute a digital periodontal lesion model construction method according to any one of claims 1 to 8, characterized in that: include: Acquisition module: used for collecting the first three-dimensional morphological data and the second three-dimensional morphological data obtained by scanning the oral cavity to be tested by the intraoral scanner and the CBCT respectively; Fusion module: used for fusing the first three-dimensional morphological data and the second three-dimensional morphological data to obtain an oral cavity model to be tested; A landmark marking module: used for generating a target landmark through the oral cavity model to be tested; An interest area marking module: used to obtain a target area according to the target marking line; Rendering module: rendering the target area and outputting the rendered oral model to be tested with the target area to complete the construction of the digital periodontal lesion model; the area of ​​interest annotation module is further used to render the root surface and molar root bifurcation lesion area within the target area to obtain a first lesion area; rendering the area in the first lesion area where the lesion depth is greater than or equal to a second preset distance to obtain a second lesion area; outputting the oral model to be tested including the rendered first lesion area and the second lesion area to complete the construction of the digital periodontal lesion model.

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