Oral care system and method based on visual display technology

Abstract

The invention provides an oral care system and method based on a visual display technology, and the system comprises an oral care system based on the visual display technology, which comprises a display control module, a care execution module and a data storage module. The display control module integrates an image acquisition setting unit, a nursing image synthesis unit and a nursing process arrangement unit. The image acquisition setting unit configures oral cavity image acquisition parameters, and the nursing image synthesis unit generates a nursing image and combines an oral cavity anatomical model and a disease image library. The nursing process arrangement unit sets nursing steps according to nursing standards and patient conditions. And the nursing execution module analyzes and processes the acquired parameters and nursing image data. The data storage module is used for storing historical images of the oral cavity of the patient, nursing process records and a disease case library so as to realize efficient and personalized oral cavity nursing.

Description

Technical Field

[0001] The present invention relates to the technical field of automated oral care, and more specifically, the present invention relates to an oral care system and method based on visual display technology. Background Art

[0002] Existing oral care technologies mainly rely on the experience and manual operations of dental professionals, and these methods have certain limitations in the diagnosis and treatment processes. Due to the complex internal structure of the oral cavity, traditional visual inspection methods are difficult to comprehensively capture all details within the oral cavity, especially in the case of insufficient light or limited field of view. In addition, the image acquisition and analysis during the oral care process often lack standardization and automation, resulting in low efficiency of the care process and difficulty in ensuring the consistency of care quality. In the identification of oral diseases and the formulation of care decisions, there is also a lack of sufficient data support and intelligent processing, making the formulation of care plans often rely on the judgment of individual experts and difficult to meet the personalized needs of different patients.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: the configuration of oral image acquisition parameters is not flexible enough to be adjusted according to different oral conditions and care needs; the synthesis and analysis of oral care images lack automated and intelligent support, resulting in low image accuracy and efficiency of care process arrangement; the operation of the care execution module depends on the skills of professionals and lacks a real-time monitoring and feedback adjustment mechanism, making the accuracy and adaptability of care actions limited. These problems limit the development and application of oral care technologies, and there is an urgent need for a new technical solution to improve the overall efficiency of oral care. Summary of the Invention

[0004] The present invention provides an oral care system and method based on visual display technology.

[0005] In the first aspect of the present invention, an oral care system based on visual display technology is provided, including:

[0006] A display control module, a care execution module, and a data storage module;

[0007] The display control module includes an image acquisition setting unit, a care image synthesis unit, and a care process arrangement unit. The care execution module includes an oral condition identification and care instruction analysis unit and a care action execution unit. Among them, the image acquisition setting unit is used to configure the input oral image acquisition parameters;

[0008] The care image synthesis unit is used to generate corresponding oral care images according to the configured oral image acquisition parameters, and in this process, image fusion is performed by combining an oral anatomical model and a common disease image library;

[0009] A nursing process arrangement unit, which is used to arrange the nursing process for the generated oral care images, and set the order of nursing steps, the selection of nursing tools, and the nursing time arrangement according to the standard oral care process and the evaluation results of the patient's oral condition;

[0010] A nursing execution module, which is used to parse and process the configured oral image acquisition parameters and the generated oral care image data according to the process obtained by the nursing process arrangement;

[0011] A data storage module, which is used to store the data of the system, including the patient's oral historical images, nursing process records, and oral disease case libraries.

[0012] Furthermore, an image acquisition setting unit, which is used to configure the input oral image acquisition parameters specifically as follows:

[0013] Create the image acquisition parameters required for oral care through the image acquisition setting unit, and set the parameter range in combination with the characteristics of the oral internal structure and the lighting conditions;

[0014] During the process of creating the image acquisition parameters, set the name and type of the image acquisition parameters, such as setting them as high-definition oral panoramic image acquisition parameters and macro lesion area image acquisition parameters;

[0015] The image acquisition setting unit is also used to configure an image processing formula and an acquisition verification rule for the image acquisition parameters, set a clarity adjustment formula according to the image clarity requirements under different light conditions, and set an image integrity verification rule according to the characteristics of the oral physiological structure.

[0016] Furthermore, a nursing image synthesis unit, which is used to generate corresponding oral care images according to the configured oral image acquisition parameters specifically as follows:

[0017] After completing the configuration of the oral image acquisition parameters, enter the oral care image generation link;

[0018] According to the oral care needs, select the oral image acquisition parameter data that needs to be displayed in the oral care image format. The nursing image synthesis unit automatically generates the default oral care image format according to the selected oral image acquisition parameters, and optimizes the image color in combination with the oral color correction model;

[0019] Adjust the format layout according to the oral disease analysis results to highlight the lesion area;

[0020] Set the default values and visualization attributes of the items during the configuration of the oral care images, such as setting the transparency of normal tissues to be low and the transparency of diseased tissues to be high to enhance the visual contrast;

[0021] The settings are analyzed and processed during the parsing process of the nursing execution module.

[0022] Further, a nursing process choreography unit is used to choreograph the generated oral care images, specifically as follows:

[0023] After generating the oral care images, enter the nursing process choreography link;

[0024] The nursing process choreography unit selects the required nursing steps and nursing tools according to the suggestions of the oral care expert system and the personalized conditions of the patient's oral cavity, and at the same time determines the sequence and time limit of each step according to the oral care operation specifications.

[0025] Further, a nursing execution module is used to parse and process the above-configured oral image acquisition parameters and the generated oral care image data according to the process choreographed by the nursing process, specifically as follows:

[0026] The nursing execution module first loads the oral image acquisition parameters and format content data, forms the oral care images with the oral image acquisition parameters through the image rendering unit, and enhances the image realism by using the oral tissue texture mapping algorithm during this process;

[0027] The oral condition recognition and nursing instruction parsing unit parses the format of the oral image acquisition parameters and extracts the oral condition feature information at the same time;

[0028] After the input data of the oral care images is completed, the process flows. The nursing action execution unit parses the process definition, selects and executes nursing actions according to the process definition, and at the same time monitors the changes in the oral images during the nursing process in real time and feedbacks to adjust the nursing actions.

[0029] In the second aspect of the present invention, an oral care method based on visual display technology is provided, including:

[0030] Step 1: Configure the input oral image acquisition parameters through the image acquisition setting unit, and set the initial parameter values with reference to the oral care historical data and the preliminary results of the current oral examination;

[0031] Step 2: Generate the corresponding oral care images according to the configured oral image acquisition parameters through the nursing image synthesis unit, and call the oral disease image matching algorithm to improve the image accuracy during this process;

[0032] Step 3: Choreograph the generated oral care images through the nursing process choreography unit, and determine the nursing process in combination with the oral care knowledge base and the special oral conditions of the patient;

[0033] Step 4: The nursing execution module parses and processes the configured oral image acquisition parameters and the generated oral care image data according to the process arranged by the nursing process.

[0034] Step 5: Select to end or return to Step 1 for nursing adjustment according to the real-time monitoring results during oral care.

[0035] Further, the configuration of the oral image acquisition parameters in Step 1 is specifically as follows:

[0036] Create the image acquisition parameters required for oral care through the image acquisition setting unit, and set the parameter range according to the characteristics and nursing focuses of different oral parts.

[0037] During the process of creating the image acquisition parameters, set the name and type of the image acquisition parameters. For example, divide the parameter type into dental caries inspection image parameters and periodontal tissue inspection image parameters.

[0038] Configure the image processing formula and acquisition verification rules for the image acquisition parameters through the image acquisition setting unit. Set the brightness adjustment formula according to the light reflection conditions of different oral parts, and set the image rationality verification rules according to the normal morphological range of oral tissues.

[0039] Further, the generation of the corresponding oral care image from the configured oral image acquisition parameters in Step 2 is specifically as follows:

[0040] After completing the configuration of the oral image acquisition parameters, enter the oral care image generation link.

[0041] According to the needs of oral care, select the oral image acquisition parameter data to be displayed in the oral care image format. The nursing image synthesis unit automatically generates the default oral care image format according to the selected oral image acquisition parameters, and performs color balance processing on the image according to the oral hygiene status.

[0042] Adjust the format layout according to the oral disease diagnosis results to highlight the key lesion information.

[0043] Set the default value and visualization attributes of the item during the configuration of the oral care image, display the oral healthy tissues in light colors, and display the suspected lesion tissues in bright colors.

[0044] The above settings are analyzed and processed during the parsing process of the nursing execution module.

[0045] Further, the nursing process arrangement of the generated oral care image by the nursing process arrangement unit in Step 3 is specifically as follows:

[0046] After generating the oral care image, enter the nursing process arrangement link.

[0047] The nursing process scheduling unit selects the required nursing steps and nursing tools according to the oral medicine guidelines and the actual condition of the patient's oral cavity, and determines the operation specifications and time requirements for each step according to the oral care safety standards.

[0048] Further, in step 4, the nursing execution module processes and analyzes the configured oral image acquisition parameters and the generated oral care image data according to the nursing process scheduling, specifically as follows:

[0049] The nursing execution module first loads the oral image acquisition parameters and the format content data, forms an oral care image with the oral image acquisition parameters through the image rendering unit, and enhances the visual effect of the image by using the oral tissue light and shadow simulation algorithm in this process;

[0050] The oral condition recognition and nursing instruction analysis unit analyzes the format of the oral image acquisition parameters, and extracts oral health and lesion information at the same time;

[0051] After the input of the oral care image data is completed, the process flows. The nursing action execution unit analyzes the process definition, implements and adjusts the nursing actions according to the process definition, continuously acquires oral images for real-time evaluation, and optimizes the nursing actions according to the evaluation results.

[0052] According to the above embodiments of the present invention, it has at least the following beneficial effects: The oral care system of the present invention can provide an efficient and accurate oral care solution by integrating a display control module, a nursing execution module, and a data storage module. The image acquisition setting unit in the display control module can configure image acquisition parameters according to the internal oral structure characteristics and lighting conditions. The nursing image synthesis unit generates nursing images by combining an oral anatomical model and a disease image library. The nursing process scheduling unit sets nursing steps according to nursing standards and patient conditions, which can ensure the personalization and standardization of the nursing process and improve the quality and efficiency of nursing.

[0053] In addition, the nursing execution module of the present invention can analyze and process the configured oral image acquisition parameters and the generated nursing image data, extract oral feature information through the oral condition recognition and nursing instruction analysis unit, execute nursing actions according to the process definition, and monitor the changes of oral images in real time to feedback and adjust nursing actions. This integrated processing method can reduce the dependence on professional personnel, reduce operation errors, improve the safety and reliability of nursing, and also provide a more comfortable and convenient nursing experience for patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features, and advantages of the exemplary embodiments of the present invention will become readily understood. In the drawings, several embodiments of the present invention are shown by way of example and not limitation, wherein:

[0055] Figure 1 FIG. 4 is a schematic structural diagram of an oral care system based on visual display technology provided by an embodiment of the present invention;

[0056] Figure 2 FIG. 8 is a schematic flowchart of an oral care method based on visual display technology provided by an embodiment of the present invention;

[0057] Figure 3 FIG. 12 schematically shows a structural diagram of an electronic device according to an embodiment of the present invention. Detailed Embodiments

[0058] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are given only to enable those skilled in the art to better understand and then implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to be able to convey the scope of the present invention fully to those skilled in the art.

[0059] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, apparatus, device, method, or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0060] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0061] Referring to the following Figure 1 , Figure 1 FIG. 30 is a schematic structural diagram of an oral care system based on visual display technology provided by an embodiment of the present invention. As Figure 1 shown, an oral care system 100 based on visual display technology includes:

[0062] a display control module 101, a care execution module 102, and a data storage module 103;

[0063] The display control module includes an image acquisition setting unit, a care image synthesis unit, and a care process arrangement unit. The care execution module includes an oral condition recognition and care instruction analysis unit and a care action execution unit. Among them, the image acquisition setting unit is used to configure the input oral image acquisition parameters;

[0064] A nursing image synthesis unit, which is used to generate corresponding oral care images according to the configured oral image acquisition parameters. In this process, image fusion is performed by combining an oral anatomical model and a common disease image library.

[0065] A nursing process arrangement unit, which is used to arrange the nursing process for the generated oral care images, and set the sequence of nursing steps, the selection of nursing tools, and the arrangement of nursing time according to the standard oral care process and the evaluation result of the patient's oral condition.

[0066] A nursing execution module, which is used to analyze and process the above-configured oral image acquisition parameters and the generated oral care image data according to the process obtained by nursing process arrangement.

[0067] A data storage module, which is used to store the data of the system, including the patient's oral historical images, nursing process records, and oral disease case libraries.

[0068] It should be noted that the core of this oral care system lies in the integrated display control module, which is responsible for image acquisition, synthesis, and arrangement of the entire nursing process. Among them, the display control module is an important part of the system, which includes an image acquisition setting unit, a nursing image synthesis unit, and a nursing process arrangement unit. These units work together to achieve the automation and intelligence of oral care. The data storage module is used to store all data related to the patient's oral health.

[0069] Specifically, the image acquisition setting unit will configure the image acquisition parameters according to the characteristics of the oral internal structure and the lighting conditions. For example, the high-definition oral panoramic image acquisition parameters and the macro-lesion area image acquisition parameters can be set, and these parameters include but are not limited to exposure time, aperture size, and focal length, etc. The nursing image synthesis unit then generates corresponding oral care images according to these parameters, and performs image fusion by combining the oral anatomical model and the disease image library to improve the accuracy and usability of the images.

[0070] Preferably, the nursing process arrangement unit will set the sequence of nursing steps according to the standard oral care process and the evaluation result of the patient's oral condition. For example, the severely diseased area can be processed first, and then routine cleaning can be carried out. The nursing execution module then analyzes and processes the acquisition parameters and the generated nursing image data according to the arranged process to ensure the precise execution of nursing actions. In addition, the system can also adjust the nursing process according to the real-time monitoring results to adapt to the changes in the patient's oral condition.

[0071] In some embodiments, the image acquisition setting unit, which is used to configure the input oral image acquisition parameters, specifically:

[0072] The image acquisition setting unit creates the image acquisition parameters required for oral care, and sets the parameter range in combination with the characteristics of the oral internal structure and the lighting conditions;

[0073] During the process of creating the image acquisition parameters, the name and type of the image acquisition parameters are set, such as setting them as high-definition oral panoramic image acquisition parameters and macro lesion area image acquisition parameters;

[0074] The image acquisition setting unit is also used to configure an image processing formula and an acquisition verification rule for the image acquisition parameters, set a clarity adjustment formula according to the image clarity requirements under different light conditions, and set an image integrity verification rule based on the characteristics of the oral physiological structure.

[0075] It should be noted that this embodiment details the specific functions and operations of the image acquisition setting unit. This unit is responsible for creating and configuring the image acquisition parameters required for oral care, and these parameters will be set in combination with the characteristics of the oral internal structure and the lighting conditions. Here, the characteristics of the oral internal structure refer to different areas of the oral cavity, such as teeth, gums, and oral mucosa, etc., while the lighting conditions involve the light distribution and brightness inside the oral cavity, which are crucial for the clarity and quality of image acquisition.

[0076] Specifically, the image acquisition setting unit will set the parameter range according to different parts of the oral cavity and the key points of care. For example, for the high-definition panoramic image of teeth, specific resolution and exposure parameters may be set; for the macro lesion area image, the focal length and aperture may be adjusted to capture more subtle lesion features.

[0077] More specifically, during the process of creating the image acquisition parameters, the name and type of the image acquisition parameters are also set, such as high-definition oral panoramic image acquisition parameters and macro lesion area image acquisition parameters, and these parameter types help to quickly identify and apply them during the care process.

[0078] Preferably, the image acquisition setting unit also configures an image processing formula and an acquisition verification rule for the image acquisition parameters. These formulas and rules can set a clarity adjustment formula according to the image clarity requirements under different light conditions, and set an image integrity verification rule based on the characteristics of the oral physiological structure. For example, the brightness and contrast of the image can be automatically adjusted according to the light changes inside the oral cavity to ensure the clarity of the image; at the same time, through the image integrity verification rule, it can be checked whether the image contains all the necessary oral structures to ensure that the acquired image data is complete and can be used for subsequent care processes.

[0079] Furthermore, the system can also select and use different image processing algorithms according to the actual application scenario, such as edge enhancement or noise reduction, to further improve the image quality.

[0080] In some embodiments, the nursing image synthesis unit is configured to generate corresponding oral care images according to the configured oral image acquisition parameters, specifically as follows:

[0081] After the configuration of the oral image acquisition parameters is completed, the oral care image generation process is entered;

[0082] According to the oral care needs, select the oral image acquisition parameter data to be displayed in the oral care image format. The nursing image synthesis unit automatically generates the default oral care image format according to the selected oral image acquisition parameters, and at the same time optimizes the image color in combination with the oral color correction model;

[0083] Adjust the format layout according to the oral disease analysis results to highlight the lesion area;

[0084] Set the default values and visualization attributes of the items during the configuration of the oral care images. For example, set the transparency of normal tissues to low and the transparency of diseased tissues to high to enhance the visual contrast;

[0085] The above settings are analyzed and processed during the parsing process of the nursing execution module.

[0086] It should be noted that this embodiment details the functions of the nursing image synthesis unit, which is responsible for generating corresponding oral care images according to the configured oral image acquisition parameters. During this process, image fusion will be performed in combination with the oral anatomical model and the common disease image library to ensure that the generated images are both accurate and clinically relevant. The oral anatomical model refers to a digital model of the oral structure, including accurate representations of teeth, gums, and other oral soft tissues; the common disease image library contains image samples of various oral diseases for comparison and analysis with the actually collected images.

[0087] Specifically, after the configuration of the oral image acquisition parameters is completed, the nursing image synthesis unit will enter the oral care image generation process. In this process, according to the specific needs of oral care, select the oral image acquisition parameter data to be displayed in the oral care image format. For example, if a specific area of a tooth needs to be cared for, the system will select the image data of that area and automatically generate the default oral care image format. At the same time, the system will also optimize the image color in combination with the oral color correction model to improve the visual quality of the image and the accuracy of diagnosis.

[0088] Preferably, the nursing image synthesis unit will adjust the format layout according to the oral disease analysis results to highlight the lesion area. For example, if the analysis results show the presence of gingivitis, the system will increase the contrast of that area or mark it with a different color for special attention during the nursing process.

[0089] Furthermore, during the process of configuring oral care images, default values and visualization attributes of items will also be set. For example, the transparency of normal tissues is set low, and the transparency of diseased tissues is set high to enhance visual contrast. In addition, the system can also provide a user interface that allows caregivers to adjust the display parameters of the images according to clinical experience, or update the algorithms and parameters for image synthesis according to the latest clinical guidelines.

[0090] In some embodiments, the care process choreography unit is used to choreograph the care process for the generated oral care images. Specifically:

[0091] After generating the oral care image, enter the care process choreography link;

[0092] The care process choreography unit selects the required care steps and tools according to the suggestions of the oral care expert system and the personalized conditions of the patient's oral cavity, and at the same time determines the sequence and time limit of each step according to the oral care operation specifications.

[0093] It should be noted that this embodiment describes the specific operations of the care process choreography unit, which is responsible for choreographing the care process of the generated oral care images. This process involves selecting the required care steps and tools according to the suggestions of the oral care expert system and the personalized conditions of the patient's oral cavity, and determining the sequence and time limit of each step according to the oral care operation specifications. Here, the oral care expert system refers to a system that integrates a large amount of oral care knowledge and experience and can provide care suggestions; the personalized conditions refer to the specific oral health conditions of the patient, including the specific conditions of teeth, gums, etc.

[0094] Specifically, after generating the oral care image, the care process choreography unit will enter the care process choreography link. In this link, the unit will select appropriate care steps and tools according to the suggestions of the oral care expert system and the actual conditions of the patient's oral cavity. For example, if the patient's oral image shows dental caries, the system may recommend filling the teeth and select the corresponding filling materials and tools.

[0095] More specifically, the system will also determine the operation specifications and time requirements of each step according to the oral care operation specifications. For example, teeth need to be cleaned before filling, and polishing is required after filling. Each step has clear time limits and operation details.

[0096] Preferably, the operations of the care process choreography unit can also include dynamic adjustment of care steps. For example, if the patient experiences discomfort during the care process, the system can adjust the sequence or time of care steps according to the feedback to ensure the comfort of the patient and the safety of the care.

[0097] Furthermore, the system can also update the nursing process according to the latest research results or clinical guidelines to maintain the advancement and effectiveness of the nursing methods. The system can also provide a user interface that allows nursing staff to manually adjust the arrangement of the nursing process based on clinical experience and the specific conditions of the patient to achieve more personalized nursing services.

[0098] In some embodiments, the nursing execution module is used to parse and process the configured oral image acquisition parameters and the generated oral care image data according to the process arranged by the nursing process. Specifically:

[0099] The nursing execution module first loads the oral image acquisition parameters and the format content data, forms an oral care image with the oral image acquisition parameters through the image rendering unit, and enhances the image realism using the oral tissue texture mapping algorithm during this process.

[0100] The oral condition recognition and nursing instruction parsing unit parses the format of the oral image acquisition parameters and extracts the oral condition feature information at the same time.

[0101] After the input of the oral care image data is completed, the process flows. The nursing action execution unit parses the process definition, selects and executes nursing actions according to the process definition, and simultaneously monitors the changes in the oral image during the nursing process and feedbacks to adjust the nursing actions.

[0102] It should be noted that this embodiment details the functions of the nursing execution module, which is responsible for parsing and processing the configured oral image acquisition parameters and the generated oral care image data according to the process arranged by the nursing process. Here, the nursing execution module refers to the part of the system responsible for implementing nursing operations, which includes the oral condition recognition and nursing instruction parsing unit and the nursing action execution unit, and these two units work together to achieve the automatic execution of the nursing process.

[0103] Specifically, the nursing execution module first loads the oral image acquisition parameters and the format content data, and forms an oral care image through the image rendering unit. During this process, the oral tissue texture mapping algorithm is used to enhance the realism of the image, making the nursing image closer to the actual oral condition and facilitating accurate nursing operations by nursing staff. The oral condition recognition and nursing instruction parsing unit parses the format of the oral image acquisition parameters and extracts the oral condition feature information at the same time, such as the arrangement of teeth, the color and health status of the gums, etc. These information are crucial for the subsequent selection of nursing actions.

[0104] Preferably, after parsing the process definition, the nursing action execution unit selects and executes nursing actions according to the process definition. Meanwhile, this unit also monitors the changes in oral images during the nursing process in real time and adjusts the nursing actions based on these changes. For example, if bleeding gums are detected in a certain area, the system may automatically adjust the pressure of the nursing tool or change the nursing strategy to avoid further damage.

[0105] Furthermore, the system can also automatically learn and optimize future nursing processes based on the data collected during the nursing process, such as patient feedback and nursing effects. Such an adaptive mechanism enables the system to respond more intelligently to different nursing scenarios and patient needs.

[0106] The above-mentioned various embodiments of the present invention have the following beneficial effects: The oral care system described in the present invention can achieve precise configuration of oral image acquisition parameters and efficient synthesis of nursing images through its innovative structure and functions. The image acquisition setting unit can flexibly set parameters according to the internal oral structure and lighting conditions, and the nursing image synthesis unit uses these parameters to generate accurate nursing images. At the same time, image fusion is carried out by combining the oral anatomical model and the disease image library, which can ensure the accuracy and practicality of the nursing images and provide a solid foundation for subsequent nursing processes.

[0107] Furthermore, the nursing process arrangement unit can set the order of nursing steps, select nursing tools, and arrange nursing time according to the generated nursing images and the evaluation results of the patient's oral condition, while the nursing execution module parses and processes the acquisition parameters and nursing image data according to the arranged process. This automated and intelligent processing flow can significantly improve the efficiency and effect of nursing, reduce human errors, and at the same time provide more personalized and accurate nursing services for patients.

[0108] As Figure 2 shown, an oral care method 200 based on visual display technology in some embodiments, the method 200 includes:

[0109] Step 1, configure the input oral image acquisition parameters through the image acquisition setting unit, and set the initial parameter values with reference to the oral care historical data and the preliminary results of the current oral examination;

[0110] Step 2, generate corresponding oral care images through the nursing image synthesis unit according to the configured oral image acquisition parameters, and call the oral disease image matching algorithm during this process to improve the image accuracy;

[0111] Step 3, arrange the nursing process for the generated oral care images through the nursing process arrangement unit, and determine the nursing process by combining the oral care knowledge base and the patient's special oral condition;

[0112] Step 4: The nursing execution module parses and processes the above-configured oral image acquisition parameters and the generated oral care image data according to the process arranged by the nursing process;

[0113] Step 5: Select to end or return to Step 1 for nursing adjustment according to the real-time monitoring results during the oral care process.

[0114] It can be understood that the various steps recorded in the oral care method 200 based on the visual display technology correspond to the respective modules in the oral care system based on the visual display technology described in the reference. Figure 1 Therefore, the modules, features, and beneficial effects described above for the oral care system based on the visual display technology also apply to the oral care method 200 based on the visual display technology and the operations included therein, and will not be elaborated here.

[0115] In some embodiments, the configuration of the oral image acquisition parameters in Step 1 is specifically as follows:

[0116] Create the image acquisition parameters required for oral care through the image acquisition setting unit, and set the parameter range according to the characteristics and nursing key points of different oral parts;

[0117] During the process of creating the image acquisition parameters, set the name and type of the image acquisition parameters. For example, divide the parameter type into dental caries examination image parameters and periodontal tissue examination image parameters;

[0118] Configure the image processing formula and acquisition verification rules for the image acquisition parameters through the image acquisition setting unit. Set the brightness adjustment formula according to the light reflection situation of different oral parts, and set the image rationality verification rules according to the normal morphological range of oral tissues.

[0119] Specifically, the brightness adjustment formula is as follows:

[0120] I new =log(1+I old );

[0121] Among them, I old is the brightness value of the original image, and I new is the brightness value of the original image.

[0122] The acquisition verification rules are the key links to ensure that the image quality meets the requirements of diagnosis and analysis. These rules mainly target the brightness, contrast of the image, as well as the integrity and rationality of the image content.

[0123] Specifically, in order to ensure that the brightness and contrast of the image are appropriate, we use a linear transformation formula to adjust the image. The formula is:

[0124] g(i,j) = af(i,j) + b

[0125] Among them, f(i,j) is the original pixel gray value, and g(i,j) is the adjusted pixel gray value. The coefficient a affects the contrast of the image, and b affects the brightness of the image. By adjusting these parameters, the contrast of the image can be enhanced to make the image look clearer, or the brightness can be adjusted to make the whole image brighter or darker without changing the contrast of the image.

[0126] In oral image acquisition, it is necessary to ensure that the image contains all necessary oral structures. Through edge detection and texture analysis, we can check whether the image contains teeth, gums and other oral tissues. These verification rules ensure that no important oral structures are missed in the image, thus meeting the requirements of subsequent care processes.

[0127] The image rationality verification rules include edge detection and texture analysis to ensure that all necessary oral structures are included in the image and the texture features of oral tissues are within the normal range. Considering the influence of uneven illumination during actual shooting, an adaptive correction algorithm can be used to reduce the influence of illumination on the acquired image. This method can improve the image quality, make the color contrast algorithm more accurate, and thus improve the usability of the image.

[0128] It should be noted that this embodiment details the specific steps of configuring oral image acquisition parameters. This sentence means that before performing oral care, it is necessary to carefully set the parameters of oral image acquisition to ensure that the acquired images can meet the care requirements. Here, oral image acquisition parameters refer to a series of settings used to guide the image acquisition device on how to capture the internal image of the oral cavity, including resolution, exposure, focal length, etc.

[0129] Specifically, when creating oral image acquisition parameters through the image acquisition setting unit, the parameter range will be set according to the characteristics and care focuses of different parts of the oral cavity. For example, for the tooth surface, a high resolution may need to be set to capture fine cracks; while for the periodontal tissue, a specific exposure time may need to be set to ensure that the gum details in the image are clearly visible.

[0130] More specifically, during the process of creating image acquisition parameters, the names and types of image acquisition parameters will also be set. For example, the parameter types are divided into dental caries inspection image parameters, periodontal tissue inspection image parameters, etc., so as to be quickly identified and applied during the care process.

[0131] Preferably, the image acquisition setting unit also configures image processing formulas and acquisition verification rules for the image acquisition parameters. These formulas and rules can set brightness adjustment formulas according to the light reflection conditions of different oral regions, and set image rationality verification rules according to the normal morphological ranges of oral tissues. For example, for tooth images, specific algorithms may be used to enhance the contrast on the tooth surface to make it easier to identify dental caries; while for gum images, algorithms may be used to detect signs of bleeding or inflammation.

[0132] Furthermore, the system can also update these formulas and rules according to the latest clinical research to ensure the accuracy and effectiveness of image acquisition and processing.

[0133] In some embodiments, specifically in step 2, generating the corresponding oral care image from the configured oral image acquisition parameters is as follows:

[0134] After completing the configuration of the oral image acquisition parameters, enter the oral care image generation phase;

[0135] According to the oral care needs, select the oral image acquisition parameter data to be displayed in the oral care image format. The care image synthesis unit automatically generates the default oral care image format according to the selected oral image acquisition parameters, and at the same time performs color balance processing on the image according to the oral hygiene status;

[0136] Adjust the format layout according to the oral disease diagnosis results to highlight the key lesion information;

[0137] Set the default values and visualization attributes of the items during the configuration of the oral care image, display the oral healthy tissues in light colors, and display the suspected lesion tissues in bright colors;

[0138] The above settings are analyzed and processed during the parsing process of the care execution module.

[0139] It should be noted that this embodiment details how to use the configured oral image acquisition parameters to generate the corresponding oral care images. This means that during the oral care process, the system will use the already set image acquisition parameters to create the images required for care. Here, oral care images refer to the images used to guide and implement oral care, which contain detailed views of the oral cavity for identifying oral health conditions and performing corresponding care operations.

[0140] Specifically, after completing the configuration of the oral image acquisition parameters, the system will enter the oral care image generation phase. In this phase, the system will, according to the oral care needs, select the oral image acquisition parameter data to be displayed in the oral care image format. For example, the system may automatically generate the default oral care image format, including panoramic views of teeth, local magnified views, etc.

[0141] For the identified lesion locations, according to the image acquisition parameters configured in step 1, these areas are magnified to obtain a more detailed view. This magnification can be local or a panoramic view, depending on the needs of the care and the location of the lesion. If a cavity is identified on a tooth, the image acquisition parameters, such as exposure time and focal length, are automatically adjusted to obtain a higher-resolution image of the cavity area.

[0142] The identification of lesion areas can be achieved through a color contrast algorithm, which helps identify potential lesions by analyzing the color differences in oral images. Specifically, the implementation of the color contrast algorithm is based on the analysis of the color features of oral images. This process involves converting the acquired oral image from the RGB color space to the HSV or Lab color space because these color spaces are more suitable for color analysis and processing. In the HSV color space, the three channels of H (hue), S (saturation), and V (brightness) can more intuitively represent color information, facilitating subsequent color contrast and lesion identification.

[0143] Next, by extracting color features in the image, such as hue values and saturation values, healthy and diseased tissues in the oral cavity are identified. There are obvious differences in the color features between healthy teeth and gums and diseased tissues. By setting specific thresholds, these differences can be converted into a binary image to identify the lesion areas.

[0144] To improve the accuracy of identification, image segmentation techniques, such as morphological operations, can also be adopted to smooth the image boundaries and fill small holes, which helps improve the accuracy of image segmentation. In addition, considering the influence of uneven illumination during actual shooting, an adaptive correction algorithm can be used to reduce the impact of illumination on the acquired image, improve the image quality, and make the color contrast algorithm more accurate.

[0145] In addition, color balance processing is also performed on the image according to the oral hygiene status to ensure the authenticity and accuracy of the image. This includes adjusting the brightness, contrast, and color saturation of the image to more clearly display different tissues and potential lesions inside the oral cavity. According to the oral disease diagnosis results, the format layout is also adjusted to highlight the key lesion information. During the configuration of oral care images, the default values and visualization attributes of the project need to be set. For example, healthy oral tissues are displayed in light colors, and suspected diseased tissues are displayed in bright colors to enhance the visual contrast.

[0146] Preferably, the system also adjusts the format layout according to the oral disease diagnosis results to highlight the key lesion information. For example, if the diagnosis result shows dental caries, the system will highlight these areas on the image with different colors or marks.

[0147] Furthermore, during the process of configuring oral care images, the system also sets default values and visualization attributes for the items. For example, healthy oral tissues are displayed in light colors, and suspected lesion tissues are displayed in bright colors to enhance visual contrast. Such settings help caregivers quickly identify and focus on important oral health issues.

[0148] Even further, as an alternative, the system can also provide a function to manually adjust the image display settings, allowing caregivers to adjust the display effect of the images according to their personal experience and the specific situation of the patient to achieve the best care effect.

[0149] In some embodiments, the specific operation of the care process choreography unit in choreographing the generated oral care images in step 3 is as follows:

[0150] After generating the oral care images, enter the care process choreography link;

[0151] The care process choreography unit selects the required care steps and care tools according to the oral medicine guidelines and the actual condition of the patient's oral cavity, and at the same time determines the operation specifications and time requirements for each step according to the oral care safety standards.

[0152] The operation of the care process choreography unit is not limited to simply selecting routine care steps and equipping tools based on oral care images. Instead, through in-depth analysis of oral medicine guidelines and the actual condition of the patient's oral cavity, it realizes a more refined and personalized care process choreography. When dental calculus is shown in the patient's oral care image, the system will not only recommend the tooth cleaning step, but also select the most suitable tooth cleaning tools and methods according to the latest oral care standard operating procedures and processes. For example, for the location and degree of dental calculus, the system may recommend using specific tooth cleaning equipment, such as ultrasonic scalers or manual scalers, and specify in detail the technical points and operation specifications during the tooth cleaning process.

[0153] More specifically, the system also determines the operation specifications and time requirements for each step according to the oral care safety standards, such as the pressure magnitude and duration during tooth cleaning, to ensure the safety and effectiveness of the care.

[0154] Preferably, the operation of the care process choreography unit can also include dynamic adjustment of care steps. For example, if the patient experiences discomfort during the care process, the system can adjust the order or time of care steps according to the feedback to ensure the patient's comfort and the safety of the care. In addition, the system can also update the care process according to the latest research results or clinical guidelines to maintain the advancement and effectiveness of the care method.

[0155] Furthermore, the system can also provide a user interface that allows caregivers to manually adjust the arrangement of the care process according to clinical experience and the specific conditions of the patient, in order to achieve more personalized care services. As an alternative, the system can also integrate machine learning algorithms to automatically optimize the care process by analyzing a large number of care cases, improving the accuracy and efficiency of care.

[0156] In some embodiments, in step 4, the care execution module processes and analyzes the configured oral image acquisition parameters and the generated oral care image data according to the care process arrangement, specifically as follows:

[0157] The care execution module first loads the oral image acquisition parameters and the format content data, forms an oral care image through the image rendering unit with the oral image acquisition parameters, and enhances the visual effect of the image by using the oral tissue light and shadow simulation algorithm during this process;

[0158] The oral condition recognition and care instruction analysis unit analyzes the format of the oral image acquisition parameters and extracts oral health and lesion information at the same time;

[0159] After the input of the oral care image data is completed, the process flows. The care action execution unit analyzes the process definition, implements and adjusts the care actions according to the process definition, continuously acquires oral images for real-time evaluation, and optimizes the care actions according to the evaluation results.

[0160] It should be noted that this embodiment details how the care execution module processes and analyzes the configured oral image acquisition parameters and the generated oral care image data according to the care process arrangement. This sentence means that the care execution module will perform specific care operations, which are based on the previously arranged care process and the acquired oral image data. Here, the care execution module refers to the part in the system responsible for implementing care operations, which includes the oral condition recognition and care instruction analysis unit and the care action execution unit.

[0161] Specifically, the care execution module first loads the oral image acquisition parameters and the format content data, and forms an oral care image through the image rendering unit. During this process, the visual effect of the image is enhanced by using the oral tissue light and shadow simulation algorithm, making the care image closer to the actual oral condition and facilitating accurate care operations by caregivers. The oral condition recognition and care instruction analysis unit analyzes the format of the oral image acquisition parameters and extracts oral health and lesion information at the same time, which is crucial for the subsequent selection of care actions.

[0162] Preferably, after parsing the process definition, the nursing action execution unit implements and adjusts nursing actions according to the process definition. Meanwhile, the system continuously collects oral images for real-time evaluation and optimizes nursing actions based on the evaluation results. For example, if the real-time evaluation shows that the cleaning effect in a certain area is not good, the system may automatically adjust the pressure of the cleaning tool or change the cleaning strategy.

[0163] Furthermore, the system can also provide a user interface that allows nursing staff to manually adjust nursing actions according to clinical experience and the specific conditions of the patient to achieve more personalized nursing services. As an alternative, the system can also integrate machine learning algorithms to automatically optimize nursing actions by analyzing a large number of nursing cases, improving the accuracy and efficiency of nursing.

[0164] Next, refer to Figure 3 , which shows a schematic structural diagram of the structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The terminal devices shown are merely examples and should not impose any limitations on the functions and usage scopes of the embodiments of the present invention.

[0165] As Figure 3 shown, the electronic device 300 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage device 308 into the random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other through a bus 304. The input / output (I / O) interface 305 is also connected to the bus 304.

[0166] Generally, the following devices can be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 can allow the electronic device 300 to communicate with other devices wirelessly or wirelesly to exchange data. Although Figure 3An electronic device 300 with various devices is shown, but it should be understood that it is not required to implement or have all the shown devices. Instead, more or fewer devices can be implemented or had. Figure 3 Each box shown in can represent a device or, as needed, multiple devices.

[0167] Furthermore, the storage medium of the embodiments of the present application stores program instructions capable of implementing all the above methods. Among them, the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in the various embodiments of the present application. The foregoing storage medium includes: various media that can store program codes such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc, or a terminal device such as a computer, a server, a mobile phone, or a tablet.

[0168] The above description is only some preferred embodiments of the present invention and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the technical solutions formed by mutually replacing the above features with the (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention.

Claims

1. An oral care system based on visual display technology, characterized in that: include: Display control module, nursing execution module and data storage module; The display control module includes an image acquisition setting unit, a nursing image synthesis unit and a nursing process arrangement unit, and the nursing execution module includes an oral condition recognition and nursing instruction parsing unit and a nursing action execution unit, wherein the image acquisition setting unit is used to configure the input oral image acquisition parameters; A care image synthesis unit is used to generate corresponding oral care images according to the configured oral image acquisition parameters, and in this process, image fusion is performed by combining the oral anatomical model and the common disease image library; A nursing process arrangement unit is used to arrange the nursing process for the generated oral care images, and to set the sequence of nursing steps, nursing tool selection, and nursing time arrangement according to the standard oral care process and the patient's oral condition assessment results; A nursing execution module is used to parse and process the configured oral image acquisition parameters and the generated oral care image data according to the process obtained by the nursing process arrangement; The data storage module is used to store the data of the system, including the patient's oral history images, nursing process records, and oral disease case library.

2. The system according to claim 1, characterized in that The image acquisition setting unit is used to configure the input oral image acquisition parameters as follows: Create image acquisition parameters required for oral care through the image acquisition setting unit, and set the parameter range in combination with the internal structure characteristics of the oral cavity and the lighting conditions; In the process of creating image acquisition parameters, set the name and type of the image acquisition parameters, such as setting them to high-definition oral panoramic image acquisition parameters and macro lesion area image acquisition parameters; The image acquisition setting unit is also used to configure image processing formulas and acquisition verification rules for image acquisition parameters, set clarity adjustment formulas according to image clarity requirements under different lighting conditions, and set image integrity verification rules based on oral physiological structure characteristics.

3. The system according to claim 1, characterized in that The care image synthesis unit is used to generate corresponding oral care images according to the configured oral image acquisition parameters. Specifically: After completing the configuration of oral image acquisition parameters, enter the oral care image generation phase; According to the needs of oral care, oral image acquisition parameter data that needs to be displayed in the oral care image format is selected, and the care image synthesis unit automatically generates a default oral care image format according to the selected oral image acquisition parameters, and optimizes the image color in combination with the oral color correction model; Adjust the format layout according to the oral disease analysis results to highlight the lesion area; Set project defaults and visualization properties when configuring oral care images, such as setting normal tissue transparency to low and diseased tissue transparency to high to enhance visual contrast; The settings are analyzed and processed during the parsing process of the nursing execution module.

4. The system according to any one of claims 1 to 3, characterized in that: The nursing process arrangement unit is used to arrange the nursing process for the generated oral care images. Specifically: After generating the oral care image, the nursing process arrangement phase begins; The nursing process arrangement unit selects the necessary nursing steps and tools according to the recommendations of the oral care expert system and the individual oral condition of the patient, and determines the sequence and time limit of each step according to the oral care operation specifications.

5. The system according to any one of claims 1 to 4, characterized in that: The nursing execution module is used to parse and process the configured oral image acquisition parameters and the generated oral care image data according to the process arranged by the nursing process. Specifically: The nursing execution module first loads the oral image acquisition parameters and format content data, and forms an oral care image through the image rendering unit. In this process, the oral tissue texture mapping algorithm is used to enhance the image realism; The oral condition recognition and care instruction parsing unit parses the format of the oral image acquisition parameters and extracts the oral condition characteristic information; After the oral care image data is input, the process flow is carried out. The nursing action execution unit parses the process definition, selects and executes nursing actions according to the process definition, and monitors the changes in oral images during the nursing process in real time, and provides feedback to adjust the nursing actions.

6. An oral care method based on visual display technology, characterized in that: The steps include: Step 1: configure the input oral image acquisition parameters through the image acquisition setting unit, and set the initial values ​​of the parameters with reference to the oral care history data and the current oral examination preliminary results; Step 2: Generate a corresponding oral care image according to the configured oral image acquisition parameters through a care image synthesis unit, and in this process call an oral disease image matching algorithm to improve image accuracy; Step 3: Performing nursing process arrangement on the generated oral care images through a nursing process arrangement unit, and determining the nursing process in combination with an oral care knowledge base and the patient's special oral condition; Step 4: The nursing execution module analyzes and processes the configured oral image acquisition parameters and the generated oral care image data according to the process obtained by the nursing process arrangement; Step 5: Choose to end the oral care process or return to step 1 to adjust the care according to the real-time monitoring results during the oral care process.

7. The method according to claim 6, characterized in that In step 1, the oral image acquisition parameters are configured as follows: Create the image acquisition parameters required for oral care through the image acquisition setting unit, and set the parameter range according to the characteristics of different parts of the oral cavity and the focus of care; In the process of creating image acquisition parameters, the name and type of the image acquisition parameters are set, such as dividing the parameter types into caries inspection image parameters and periodontal tissue inspection image parameters; The image acquisition setting unit is used to configure image processing formulas and acquisition verification rules for image acquisition parameters, set brightness adjustment formulas according to the light reflection conditions of different oral parts, and set image rationality verification rules according to the normal morphological range of oral tissues.

8. The method according to any one of claims 6 to 7, characterized in that In step 2, the configured oral image acquisition parameters are used to generate corresponding oral care images: After completing the configuration of oral image acquisition parameters, enter the oral care image generation phase; According to the needs of oral care, oral image acquisition parameter data to be displayed in the oral care image format is selected, and the care image synthesis unit automatically generates a default oral care image format according to the selected oral image acquisition parameters, and performs color balance processing on the image according to the oral hygiene status; Adjust the format layout according to the oral disease diagnosis results to highlight key lesion information; When configuring an oral care image, set the default values ​​and visualization properties of the project to display healthy oral tissue in light colors and suspected lesion tissue in bright colors; The settings are analyzed and processed during the parsing process of the nursing execution module.

9. The method according to any one of claims 6 to 8, characterized in that In step 3, the nursing process arrangement unit arranges the generated oral care image through the nursing process arrangement as follows: After generating the oral care image, the nursing process arrangement phase begins; The nursing process arrangement unit selects the necessary nursing steps and tools according to the oral medicine guidelines and the actual condition of the patient's oral cavity, and determines the operating specifications and time requirements for each step according to the oral care safety standards.

10. The method according to any one of claims 6 to 9, characterized in that In step 4, the nursing execution module processes and analyzes the configured oral image acquisition parameters and the generated oral care image data according to the nursing process arrangement as follows: The nursing execution module first loads the oral image acquisition parameters and format content data, and forms an oral care image through the image rendering unit. In this process, the oral tissue light and shadow simulation algorithm is used to enhance the image visual effect; The oral condition recognition and care instruction parsing unit parses the format of oral image acquisition parameters and extracts oral health and lesion information; After the oral care image data is input, the process flow is carried out. The nursing action execution unit parses the process definition, implements and adjusts the nursing actions according to the process definition, and continuously collects oral images for real-time evaluation, and optimizes the nursing actions according to the evaluation results.

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