Method and system for generating orthodontic diagnosis and treatment report

Abstract

The invention relates to the field of orthodontic oral cavity, provides a method and system for generating an orthodontic diagnosis and treatment report, and aims to solve the problem that most of AI systems in the market are limited to recognition and analysis of single image types in the conventional application of orthodontic diagnosis and treatment reports. When face photo data, side films and panoramic films of the same patient are comprehensively recognized and analyzed, switching between a plurality of AI systems and software is needed, respective analysis results are obtained respectively and integrated into an orthodontic face diagnosis report, and the process is tedious in operation and high in efficiency. And data storage and later integration management are not facilitated. Comprising the steps that a case image set of a patient is received, the case image set of the patient is automatically distributed to a pre-constructed processing system, and the processing system is provided with a plurality of image processing modules used for processing different image types; the image processing modules based on different image types correspondingly process different case images in the case image set of the patient to obtain corresponding initial image images.

Description

Technical Field

[0001] The present application relates to the field of orthodontics, and more specifically, to a method for generating an orthodontic diagnosis and treatment report and a system for generating the same. Background Art

[0002] Orthodontic treatment aims to correct problems such as uneven tooth alignment and abnormal bite in order to restore oral function and improve facial aesthetics. Accurate diagnosis and personalized treatment plans are the key to successful orthodontic treatment, and oral image analysis technology plays an indispensable role in this. In the traditional initial diagnosis of the dental department, the doctor makes a diagnosis by observing the actual condition of the patient's oral cavity with the naked eye. This mainly relies on the doctor's experience and subjective judgment, which has certain limitations and may lead to misjudgment and missed diagnosis due to lack of experience. Furthermore, when doctors formulate diagnosis and treatment plans, they need to analyze oral images, while traditional two-dimensional image analysis mainly relies on doctors to manually mark landmarks on the images, and then use measuring tools to measure parameters such as the distance and angle between the landmarks. Although this method is simple and direct, it has the disadvantages of strong subjectivity, large measurement errors, and low efficiency. Different doctors may have differences in the identification and positioning of landmarks, resulting in inconsistent measurement results, which affects the accuracy of diagnosis and treatment plans.

[0003] With the rapid development of artificial intelligence technology, its application in orthodontic facial consultation reports has opened up a new path to improve the accuracy of diagnosis. At present, most AI systems on the market are limited to the recognition and analysis of a single image type. For example, AI systems that focus on frontal photo analysis cannot process lateral films. If you want to recognize and analyze lateral films, you must use a different AI system. Therefore, if you want to perform a comprehensive recognition and analysis of the facial photo data, lateral films, and panoramic films of the same patient, you need to switch between multiple systems and software to obtain their respective analysis results. Subsequently, the required information is extracted from these results and finally integrated into a complete orthodontic diagnosis and treatment report. This process is not only cumbersome to operate, but also not conducive to data preservation and subsequent integration management.

[0004] Therefore, the prior art needs to be improved. Summary of the invention

[0005] The purpose of the present application is to provide a method for generating an orthodontic diagnosis and treatment report and a generating system thereof, so as to solve the problem that in the existing application of orthodontic facial consultation reports, most of the AI ​​systems on the market are limited to the recognition and analysis of a single image type. When performing a comprehensive recognition and analysis of the facial photo data, lateral film and panoramic film of the same patient, it is necessary to switch between multiple AI systems and software, obtain their respective analysis results, and integrate the analysis results into the orthodontic facial consultation report. This process is cumbersome and not conducive to data preservation and subsequent integrated management.

[0006] To achieve the above object, the technical solution adopted in the first aspect of the embodiments of the present application is as follows:

[0007] A method for generating an orthodontic diagnosis and treatment report, comprising:

[0008] Receiving a case atlas of a patient and automatically allocating the case atlas of the patient to a pre-constructed processing system, wherein the processing system has a plurality of image processing modules for processing different types of images;

[0009] Based on the image processing modules corresponding to different types of images, respectively processing different case images in the case atlas of the patient to obtain corresponding initial image maps;

[0010] Receiving a confirmation instruction for the initial image map to obtain corresponding target data;

[0011] Based on a pre-set corresponding relationship, converting the target data into corresponding diagnostic data and inputting the diagnostic data into an initial orthodontic diagnosis and treatment report to generate a target orthodontic diagnosis and treatment report.

[0012] According to the method for generating an orthodontic diagnosis and treatment report described above, in the step of respectively processing different case images in the case atlas of the patient based on the image processing modules corresponding to different types of images to obtain corresponding initial image maps, the case atlas includes a front view, a smile view, a profile view, a lateral cephalogram, and a panoramic radiograph.

[0013] According to the method for generating an orthodontic diagnosis and treatment report described above, the step of respectively processing different case images in the case atlas of the patient based on the image processing modules corresponding to different types of images to obtain corresponding initial image maps specifically includes:

[0014] Receiving a case atlas of a patient and allocating it to a pre-constructed processing system;

[0015] According to the initial information of the case atlas, automatically allocating the case atlas of the patient to the corresponding image processing module to obtain corresponding initial image maps, wherein the initial information is name information or the location information where the case atlas is input into the processing system.

[0016] According to the method for generating an orthodontic diagnosis and treatment report described above, in the step of receiving a confirmation instruction for the initial image map to obtain corresponding target data, the initial image map has a plurality of medical landmark points.

[0017] According to the method for generating an orthodontic diagnosis and treatment report described above, the step of receiving a confirmation instruction for the initial image map to obtain corresponding target data specifically includes:

[0018] Receiving a confirmation instruction for the initial image map to obtain a target image map and corresponding target data.

[0019] In the step of receiving a confirmation instruction for an initial image and obtaining a target image and corresponding target data according to the method for generating an orthodontic diagnosis and treatment report described above, the confirmation instruction is an operation instruction clicked after a medical staff member confirms each medical landmark point on the initial image one by one, and the target data is based on the measurement results between each medical landmark point on the target image.

[0020] The technical solution adopted in the second aspect of the embodiments of the present application is:

[0021] An orthodontic diagnosis and treatment report generation system, which is applied to the method for generating an orthodontic diagnosis and treatment report described above. The generation system includes:

[0022] A first receiving module, configured to receive a case atlas of a patient and automatically allocate the case atlas of the patient to a pre-constructed processing system, where the processing system has multiple image processing modules for processing different image types;

[0023] A processing module, configured to process different case images in the case atlas of the patient corresponding to different image processing modules based on different image types to obtain corresponding initial images;

[0024] A second receiving module, configured to receive a confirmation instruction for the initial image and obtain corresponding target data;

[0025] A conversion and generation module, configured to convert the target data into corresponding diagnostic data based on a pre-set corresponding relationship, and input the diagnostic data into an initial orthodontic diagnosis and treatment report to generate a target orthodontic diagnosis and treatment report.

[0026] According to the orthodontic diagnosis and treatment report generation system described above, the processing module specifically includes:

[0027] A first receiving unit, configured to receive a case atlas of a patient and allocate it to a pre-constructed processing system;

[0028] An allocation unit, configured to automatically allocate the case atlas of the patient to a corresponding image processing module according to the initial information of the case atlas to obtain a corresponding initial image, where the initial information is name information or the position information where the case atlas is input into the processing system.

[0029] According to the orthodontic diagnosis and treatment report generation system described above, the case atlas includes a front view, a smile view, a profile view, a lateral cephalogram, and a panoramic radiograph.

[0030] According to the orthodontic diagnosis and treatment report generation system described above, the second receiving module specifically includes:

[0031] A second receiving unit, configured to receive a confirmation instruction of an initial image map, so as to obtain a target image map and corresponding target data.

[0032] The beneficial effects of a method and a generation system for generating an orthodontic diagnosis and treatment report provided by this application are at least as follows:

[0033] By constructing a processing system with multiple image processing modules for processing different types of images, in this processing system, case images (image maps) of various different types in a case atlas can be accommodated simultaneously, and case images of various different types in the case atlas are assigned to corresponding image processing modules for simultaneous processing to obtain processing results. There is no need to separately obtain the output results of case images of various different types in different systems. This not only has high efficiency, but also saves the operation process of switching and integration, is simple to operate, and is convenient for data storage and subsequent management. Moreover, through the pre-set corresponding relationship, this application saves the process in which a doctor needs to convert target data into corresponding diagnostic data, improves the efficiency of the generation process of the orthodontic diagnosis and treatment report, and during the process, increases the doctor's confirmation of the data generated by the image processing module, effectively ensuring the accuracy of the generated orthodontic diagnosis and treatment report while ensuring efficiency. Description of the Drawings

[0034] In order to more clearly illustrate the technical solutions in the embodiments of this application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of this application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0035] Figure 1 It is a flowchart of a method for generating an orthodontic diagnosis and treatment report provided by an embodiment of this application. Detailed Embodiments

[0036] In order to make the technical problems, technical solutions, and beneficial effects to be solved by this application clearer, the following further details this application in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit this application.

[0037] It should be noted that when a component is referred to as being "fixed on" or "disposed on" another component, it may be directly or indirectly located on the other component. When a component is referred to as being "connected to" another component, it may be directly or indirectly connected to the other component. The directions or positions indicated by the terms "upper", "lower", "left", "right", "front", "back", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. are based on the directions or positions shown in the accompanying drawings and are only for the convenience of description and cannot be understood as limitations on the present technical solution. The terms "first" and "second" are only used for the convenience of description and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features. "Multiple" means two or more, unless otherwise clearly and specifically defined.

[0038] Orthodontic treatment aims to correct problems such as uneven tooth alignment and abnormal bite in order to restore oral function and improve facial aesthetics. Accurate diagnosis and personalized treatment plans are the key to successful orthodontic treatment, and oral image analysis technology plays an indispensable role in this. In the traditional initial diagnosis of the dental department, the doctor makes a diagnosis by observing the actual condition of the patient's oral cavity with the naked eye. This mainly relies on the doctor's experience and subjective judgment, which has certain limitations and may lead to misjudgment and missed diagnosis due to lack of experience. Furthermore, when doctors formulate diagnosis and treatment plans, they need to analyze oral images, while traditional two-dimensional image analysis mainly relies on doctors to manually mark landmarks on the images, and then use measuring tools to measure parameters such as the distance and angle between the landmarks. Although this method is simple and direct, it has the disadvantages of strong subjectivity, large measurement errors, and low efficiency. Different doctors may have differences in the identification and positioning of landmarks, resulting in inconsistent measurement results, which affects the accuracy of diagnosis and treatment plans.

[0039] With the rapid development of artificial intelligence technology, its application in orthodontic facial consultation reports has opened up a new path to improve the accuracy of diagnosis. At present, most AI systems on the market are limited to the recognition and analysis of a single image type. For example, AI systems that focus on frontal photo analysis cannot process lateral films. If you want to recognize and analyze lateral films, you must use a different AI system. Therefore, if you want to perform a comprehensive recognition and analysis of the facial photo data, lateral films, and panoramic films of the same patient, you need to switch between multiple systems and software to obtain their respective analysis results. Subsequently, the required information is extracted from these results and finally integrated into a complete orthodontic diagnosis and treatment report. This process is not only cumbersome to operate, but also not conducive to data preservation and subsequent integration management.

[0040] For this purpose, see Figure 1 The first aspect of the embodiment of the present application provides a method for generating an orthodontic treatment report, comprising:

[0041] S10. Receive the case atlas of the patient and automatically allocate the case atlas of the patient to a pre-constructed processing system, where the processing system has multiple image processing modules for processing different image types.

[0042] Specifically, the image processing module can adopt an object detection artificial neural network trained with the corresponding image type. The processing system in this embodiment abandons the exclusive selection strategy for a single AI module and has multiple image processing modules for processing different types of images. In this way, it is possible to synchronously and efficiently identify and deeply analyze different image types involved in the same patient, such as frontal photos, smiling photos, lateral profiles, lateral radiographs, panoramic radiograph images, etc., and then optimize the generation process of the orthodontic diagnosis and treatment report.

[0043] S20. Based on the image processing modules corresponding to different image types, process different case images in the case atlas of the patient to obtain corresponding initial image maps.

[0044] Specifically, the case atlas includes frontal photos, smiling photos, lateral profiles, lateral radiographs, and panoramic radiographs. The initial image map has marking information and corresponding measurement results. Taking a panoramic radiograph in the case atlas as an example, after the panoramic radiograph is input into the corresponding panoramic radiograph image processing module, the obtained initial panoramic radiograph image has accurate identification and marking of medical landmark points such as anatomical landmark points and tooth contour lines. It should be noted that the initial image maps generated by the image processing modules of different image types are all constructed based on the medical landmark points set by the AI module and the medical significance and assignment types contained in the data such as the distances, angles, and differences between these medical landmark points. Specifically, the AI module standardizes the above various types of data based on the medical knowledge system summarized from a large number of clinical cases, assigns them specific medical meanings and reasonable assignment types, so that the analysis conclusions output from the image processing modules of different image types are scientific and reliable, laying a solid foundation for the accurate generation of the subsequent orthodontic diagnosis and treatment report.

[0045] Optionally, in one embodiment, the step of, based on the image processing modules corresponding to different image types, processing different case images in the case atlas of the patient to obtain corresponding initial image maps specifically includes:

[0046] Receive the case atlas of the patient and allocate it to a pre-constructed processing system;

[0047] According to the initial information of the case atlas, automatically allocate the case atlas of the patient to the corresponding image processing module to obtain the corresponding initial image map.

[0048] Specifically, the initial information may be the respective name information in the case atlas or the location information where the case atlas is input into the processing system. That is to say, the initial information can be name information or location information. Taking the panoramic film in the case atlas as an example, the initial information can be the name information of the panoramic film, or the specific location information of the panoramic film in the processing system. The processing system automatically assigns it to the image processing module for processing the panoramic film according to the name information of the panoramic film or the specific location information of the panoramic film in the processing system.

[0049] S30. Receive the confirmation instruction of the initial image, and obtain the corresponding target data.

[0050] Specifically, the initial image has multiple medical landmark points, and the confirmation instruction is an operation instruction clicked after medical staff confirm each medical landmark point on the initial image one by one.

[0051] Optionally, in one embodiment, the step of receiving the confirmation instruction of the initial image and obtaining the corresponding target data specifically includes:

[0052] Receive the confirmation instruction of the initial image to obtain the target image and the corresponding target data.

[0053] Specifically, the target image is the image obtained after the doctor confirms each medical landmark point on the initial image one by one. The target image also has multiple medical landmark points. The target data is based on the measurement results between each medical landmark point on the target image. Since the quality of the case atlas is extremely vulnerable to interference from many factors. During the acquisition stage of the case atlas, even a slight movement of the patient, such as an inadvertent head shake or limb displacement during the scanning process, may cause deviations in the original image data, thus deviating from the true oral anatomical state. When the image processing module processes these defective data, it may produce incorrect interpretations. Taking the panoramic film as an example, artifacts may occur during the panoramic film scanning, which will affect the accurate judgment of the output result. Metal restorations (such as silver amalgam fillings, metal-ceramic teeth, etc.) are common causes of artifacts. These artifacts appear as high-density shadows or stripes on the image, which may cover the true situation of the surrounding tissues. When the image processing module analyzes the panoramic film, if it is necessary to judge whether there is caries on the adjacent surface of the teeth, the artifacts produced by the metal crown may interfere with the recognition result, resulting in misjudgment of the scope of caries. In view of this, after the output results of the image processing modules for each different image type, the doctor needs to combine his own professional knowledge and the actual oral situation of the patient to confirm the output results (each medical landmark point of the initial image). Through this man-machine collaboration method, the doctor can complete the diagnostic analysis more quickly and accurately, effectively improving the scientificity and authority of the orthodontic oral diagnosis and treatment report, and laying a solid foundation for the smooth development of orthodontic oral treatment.

[0054] S40. Based on the preset corresponding relationship, convert the target data into corresponding diagnostic data, and input the diagnostic data into the initial orthodontic diagnosis and treatment report to generate a target orthodontic diagnosis and treatment report.

[0055] Specifically, the orthodontic diagnosis and treatment reports on the market include the following core contents: basic information of patients, facial type description, skeletal relationship assessment, dental lesion conditions, and subsequent nursing suggestions, etc. In this embodiment, by constructing a stable corresponding framework between various image analysis methods and the content presented in the orthodontic diagnosis and treatment report, the accurately confirmed target data can be converted into effective diagnostic data and automatically adapted to the corresponding areas of the initial orthodontic diagnosis and treatment report. Among them, taking a lateral cephalogram in a case atlas as an example, the angle of the ANB angle is the benchmark for judging the skeletal type. When the lateral cephalogram image recognition and analysis module identifies and analyzes key medical landmark points such as point A (upper alveolar seat point), point N (nasion point), point B (lower alveolar seat point), and measurement items such as the ANB angle (the angle formed by point A, point N, and point B), after the doctor confirms that the positions of point A, point N, and point B are correct, when the processing system generates the target orthodontic diagnosis and treatment report, according to the preset corresponding relationship and based on the size of the ANB angle, the corresponding skeletal type will be displayed in the target orthodontic diagnosis and treatment report. If the angle of the ANB angle is less than the established standard value, the skeletal type presented in the report will be skeletal class III; if it is greater than the standard value, it will be skeletal class I.

[0056] It can be understood that in the front line of oral clinical practice, especially in busy diagnosis and treatment scenarios, a large amount of patient data needs to be processed urgently. To issue a precise and detailed orthodontic diagnosis and treatment report, it is necessary to comprehensively analyze multiple imaging data of patients, such as frontal photos, smiling photos, lateral profiles, lateral cephalograms, panoramic films, etc., and then draw key conclusions about the patient's facial type description, skeletal relationship assessment, dental lesion conditions, etc. In the face of complex oral diseases, this process is often time-consuming and laborious, greatly increasing the doctor's work intensity and time cost. The application of this embodiment is expected to fundamentally improve this dilemma and provide strong support for the efficient promotion of orthodontic diagnosis and treatment work.

[0057] In addition, it is worth noting that outpatient clinics and various oral medical institutions can independently select the module content to be presented in the orthodontic diagnosis and treatment report according to their actual needs, so as to achieve personalized customization of the orthodontic diagnosis and treatment report. This effectively makes up for the problems of misjudgment and missed judgment often caused by the lack of doctor experience in the existing initial oral diagnosis link, as well as the large measurement errors and low work efficiency caused by limited measurement means, and effectively improves the accuracy of diagnosis. It not only significantly improves the quality level of oral diagnosis and treatment reports, but also optimizes the operation process, reduces the time cost, and provides a new way for the precise and efficient development of orthodontic treatment.

[0058] A generation system of an orthodontic diagnosis and treatment report provided in the second aspect of the embodiments of the present application is applied to the method for generating an orthodontic diagnosis and treatment report as described above. The generation system includes:

[0059] A first receiving module, configured to receive a case atlas of a patient and automatically allocate the case atlas of the patient to a pre-constructed processing system, where the processing system has a plurality of image processing modules for processing different types of images;

[0060] A processing module, configured to correspondingly process different case images in the case atlas of the patient based on the image processing modules for different types of images to obtain corresponding initial image maps;

[0061] A second receiving module, configured to receive a confirmation instruction for the initial image map to obtain corresponding target data;

[0062] A conversion and generation module, configured to convert the target data into corresponding diagnosis data based on a preset corresponding relationship, and input the diagnosis data into an initial orthodontic diagnosis and treatment report to generate a target orthodontic diagnosis and treatment report.

[0063] Optionally, in one embodiment, the processing module specifically includes a first receiving unit and an allocation unit. The first receiving unit is configured to receive the case atlas of the patient and allocate it to a pre-constructed processing system. The allocation unit is configured to automatically allocate the case atlas of the patient to a corresponding image processing module according to the initial information of the case atlas to obtain a corresponding initial image map, where the initial information is name information or location information where the case atlas is input into the processing system.

[0064] Wherein, the case atlas includes a front view photo, a smiling photo, a profile photo, a lateral cephalogram, and a panoramic radiograph.

[0065] Optionally, in one embodiment, the second receiving module specifically includes a second receiving unit, and the second receiving unit is configured to receive a confirmation instruction for the initial image map to obtain a target image map and corresponding target data.

[0066] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A method for generating an orthodontic treatment report, characterized in that: include: receiving a patient's case atlas and automatically assigning the patient's case atlas to a pre-built processing system, wherein the processing system has a plurality of image processing modules for processing different image types; The image processing modules based on different image types process different case images in the case image set of the patient to obtain the corresponding initial image images; Receive the confirmation instruction of the initial image and obtain the corresponding target data; Based on the preset corresponding relationship, the target data is converted into corresponding diagnostic data, and the diagnostic data is input into the initial oral orthodontic treatment report to generate a target oral orthodontic treatment report.

2. The method for generating an orthodontic treatment report according to claim 1, characterized in that: In the step of obtaining corresponding initial image images by processing different case images in the patient's case atlas with image processing modules based on different image types, the case atlas includes frontal images, smiling images, profile images, lateral images and panoramic images.

3. The method for generating an orthodontic treatment report according to claim 1, characterized in that: The steps of processing different case images in the case image collection of the patient based on the image processing modules of different image types to obtain the corresponding initial image images specifically include: Receive patient case atlases and distribute them to pre-built processing systems; According to the initial information of the case atlas, the patient's case atlas is automatically assigned to the corresponding image processing module to obtain the corresponding initial image map, wherein the initial information is the name information or the position information of the case atlas input into the processing system.

4. The method for generating an orthodontic treatment report according to claim 1, characterized in that: In the step of receiving a confirmation instruction of an initial image and obtaining corresponding target data, the initial image has a plurality of medical landmarks.

5. The method for generating an orthodontic treatment report according to claim 4, characterized in that: The steps of receiving the confirmation instruction of the initial image and obtaining the corresponding target data specifically include: Receive the confirmation instruction of the initial image map, and obtain the target image map and the corresponding target data.

6. The method for generating an orthodontic treatment report according to claim 5, characterized in that: In the step of receiving a confirmation instruction of an initial image and obtaining a target image and corresponding target data, the confirmation instruction is an operation instruction clicked by a medical staff after confirming each medical landmark point on the initial image one by one, and the target data is based on the measurement results between each medical landmark point on the target image.

7. A system for generating an orthodontic treatment report, characterized in that: It is applied to the method for generating an orthodontic treatment report according to any one of claims 1 to 6, wherein the generating system comprises: A first receiving module is used to receive a patient's case atlas and automatically assign the patient's case atlas to a pre-built processing system, wherein the processing system has a plurality of image processing modules for processing different image types; A processing module, used for processing different case images in the case image set of the patient based on image processing modules of different image types to obtain corresponding initial image images; The second receiving module is used to receive the confirmation instruction of the initial image and obtain the corresponding target data; The conversion generation module is used to convert the target data into corresponding diagnostic data based on a preset corresponding relationship, and input the diagnostic data into an initial oral orthodontic diagnosis and treatment report to generate a target oral orthodontic diagnosis and treatment report.

8. The system for generating an orthodontic treatment report according to claim 7, characterized in that: The processing module specifically includes: A first receiving unit, for receiving a patient's case atlas and distributing it to a pre-built processing system; The allocation unit is used to automatically allocate the patient's case atlas to the corresponding image processing module according to the initial information of the case atlas to obtain the corresponding initial image, wherein the initial information is the name information or the position information of the case atlas input into the processing system.

9. The system for generating an orthodontic treatment report according to claim 8, characterized in that: The case atlas includes frontal photos, smiling photos, profile photos, lateral films and panoramic films.

10. The system for generating an orthodontic treatment report according to claim 7, characterized in that: The second receiving module specifically includes: The second receiving unit is used to receive a confirmation instruction of the initial image map, and obtain a target image map and corresponding target data.

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