WO2020103288A1 - Analysis method and system for feature data change of diabetic retinopathy fundus, and storage device - Google Patents

Analysis method and system for feature data change of diabetic retinopathy fundus, and storage device

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Publication number
WO2020103288A1
WO2020103288A1 PCT/CN2018/124487 CN2018124487W WO2020103288A1 WO 2020103288 A1 WO2020103288 A1 WO 2020103288A1 CN 2018124487 W CN2018124487 W CN 2018124487W WO 2020103288 A1 WO2020103288 A1 WO 2020103288A1
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WIPO (PCT)
Prior art keywords
fundus image
fundus
sugar
feature data
patient
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PCT/CN2018/124487
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French (fr)
Chinese (zh)
Inventor
余轮
曹新容
王丽钠
林嘉雯
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福州依影健康科技有限公司
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Priority to GB2104798.0A priority Critical patent/GB2593824A/en
Publication of WO2020103288A1 publication Critical patent/WO2020103288A1/en

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/20ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • G06T7/0014Biomedical image inspection using an image reference approach
    • G06T7/0016Biomedical image inspection using an image reference approach involving temporal comparison
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/40ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10004Still image; Photographic image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20036Morphological image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30041Eye; Retina; Ophthalmic
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30096Tumor; Lesion
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30101Blood vessel; Artery; Vein; Vascular
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Definitions

  • the invention relates to the field of fundus image processing, in particular to a method and system for analyzing changes in characteristic data of a sugar net fundus, and a storage device.
  • Diabetic retinopathy (sugar reticulum) is one of the main complications of diabetes and the leading cause of irreversible blindness in working-age people. As the course of diabetes grows, the risk of sugar webs continues to increase, which may eventually lead to irreversible blindness.
  • the retinopathy characteristics obtained after annual fundus screening can be compared and analyzed through the comparison and analysis of the annual changes in sugar reticulum data to further evaluate patients with diabetic retinopathy
  • Changes in fundus conditions can be used to obtain evaluation data on the effects of prevention and treatment, including the damage of diabetes to the eyes, the overall level of blood sugar control and the treatment effect over a period of time, in order to enhance the compliance of basic treatments for diabetes patients with lifestyle interventions, Provide a deterrent "incentive" mechanism!
  • the fundus is the only part of the human body where blood vessels and nerves can be directly observed without surgery. Fundus photography allows us to obtain personalized health medical information under precision medicine; if we can screen the data of diabetic patients every time fundus screening By implementing structured feature data processing, storage and follow-up, it is possible to achieve comparison and analysis of changes in fundus images and related body index feature data acquired in different periods, combined with interrogation data, in order to achieve the health of diabetic patients Management or health big data service, provide a new method! .
  • a method for analyzing the changes of the fundus characteristic data of the sugar mesh including the steps of: obtaining the fundus image of the sugar mesh patient; extracting and identifying the feature data of the fundus image; storing the feature data of the fundus image; determining whether the sugar mesh is stored
  • the fundus image feature data of the early stage of the patient if the fundus image feature data of the early stage of the sugar mesh patient is stored, analyze and compare the fundus image feature data of the sugar mesh patient at different periods to obtain the fundus sieve of the sugar mesh patient Check the change of the characteristic data; analyze and process the change of the fundus screening characteristic data.
  • the "then analyze and compare the fundus image feature data of the sugar net patient at different periods to obtain the changes of the fundus screening feature data of the sugar net patient at this time” further includes the step of: establishing a brightness histogram equalization Pre-process the fundus image; establish a morphological filter to determine the position of the macula and optic disc in the pre-processed fundus image; segment the main vessels of the pre-processed fundus image; align the fundus image according to the fundus structure parameters and correct the characteristics of the fundus image
  • the fundus structure parameters include: the position of the macula, the position of the optic disc, and the information of the main blood vessel; and automatically analyze the changes of the feature data of the fundus image.
  • analyzing and processing the changes in the fundus screening characteristic data further includes the steps of: analyzing and calculating the sugar control effect and physical health status of the sugar net patient within a preset time period; and according to the analysis results Corresponding health service recommendations; generate a report of the sugar control effect, physical health status, and health service recommendations, and send the report-related information to the mobile terminal device of the sugar net patient.
  • the "identifying the feature data of the fundus image” further includes the steps of: identifying the microhemangioma and its relative position to the fovea; identifying the size of the bleeding spot and its relative position to the fovea; identifying and analyzing the rigidity The extent of exudation and its minimum distance from the fovea of the macula.
  • a storage device in which an instruction set is stored, the instruction set is used to perform: acquiring a fundus image of a sugar net patient; extracting and identifying feature data of the fundus image; storing the feature data of the fundus image; judging whether to store There is the fundus image feature data of the early stage of the sugar net patient, if the fundus image feature data of the early stage of the sugar net patient is stored, the fundus image feature data of the sugar net patient at different periods are analyzed and compared to obtain the sugar net patient The changes of the fundus screening characteristic data at this time; analyzing and processing the changes of the fundus screening characteristic data.
  • the instruction set is also used to execute: "then analyze and compare the fundus image feature data of the sugar net patient at different periods to obtain the changes of the fundus screening feature data of the sugar net patient at this time", It also includes the steps of: establishing a brightness histogram equalization to preprocess the fundus image; establishing a morphological filter to determine the position of the macula and optic disc in the preprocessed fundus image; segmenting the main blood vessels of the preprocessed fundus image; aligning according to the fundus structure parameters The fundus image corrects the identification of the feature data of the fundus image.
  • the fundus structure parameters include: the position of the macula, the position of the optic disc, and the information of the main blood vessel; and automatically analyze the changes of the feature data of the fundus image.
  • the instruction set is also used to execute: "analyze and analyze the changes in the fundus screening characteristic data", and further includes the steps of: analyzing and calculating the sugar control effect within a preset time period of the sugar net patient and Physical health status; and give corresponding health service recommendations based on the analysis results; generate reports on the sugar control effect, physical health status, and health service recommendations, and send the report-related information to the mobile patients of the sugar net Terminal Equipment.
  • the instruction set is also used to execute: "Identify the characteristic data of the fundus image", further comprising the steps of: identifying microhemangioma and its relative position to the fovea; identifying the size of the bleeding spot and its center The relative position of the fovea; identify and analyze the range of hard exudation and its minimum distance from the fovea of the macula.
  • a sugar net fundus characteristic data change analysis system including: a fundus image acquisition terminal and a fundus image processing terminal, the fundus image processing terminal includes: a data storage module, a fundus image analysis comparison module and a result analysis module;
  • the fundus An image acquisition terminal is connected to the fundus image processing terminal;
  • the fundus image acquisition terminal is used to: acquire a fundus image of a sugar net patient and send the fundus image to the fundus image processing terminal;
  • the fundus image processing terminal is used to: extract and Identify the fundus image feature data;
  • the data storage module is used to store the fundus image feature data, and the fundus image analysis and comparison module is used to determine whether the fundus image feature of the early stage of the sugar net patient is stored Data, if the fundus image feature data of the early stage of the sugar mesh patient is stored, analyze and compare the fundus image feature data of the sugar mesh patient at different periods, and obtain the changes of the fundus image feature data of the sugar mesh patient at this screening Situation;
  • the result analysis module is used to
  • the fundus image analysis and comparison module is also used to: establish a brightness histogram equalization to preprocess the fundus image; establish a morphological filter to determine the position of the macula and optic disc in the preprocessed fundus image; segment the preprocessed The main blood vessel of the fundus image; align the fundus image according to the fundus structure parameters and correct the identification of the feature data of the fundus image.
  • the fundus structure parameters include: the position of the macula, the position of the optic disc and the information of the main blood vessel; automatically analyze the features of the fundus image Data changes; the fundus image processing terminal is also used to: identify microhemangioma and its relative position to the macular fovea; identify the size of the bleeding spot and its relative position to the macular fovea; identify and analyze the range of rigid exudation and its The minimum distance from the fovea.
  • the beneficial effects of the present invention are: by automatically acquiring fundus images of patients in different periods of the sugar net, storing the fundus image and the structured processed fundus image feature data; by automatically analyzing and comparing the fundus image feature data of different periods, Obtain the changes in the characteristics of the fundus image of the patient in the sugar mesh; analyze and process the changes in the characteristics of the fundus image of the patient in the sugar mesh.
  • sugar-net patients can collect their own fundus images at any place where the fundus image acquisition device is installed, and then upload the corresponding fundus images to the fundus image processing terminal, which will store the fundus images , And automatically compare and analyze the changes of fundus image feature data acquired in different periods.
  • diabetic retinopathy is one of the major serious complications of diabetic patients, it is also the leading blinding eye disease in China. If patients do not take basic interventions of lifestyle intervention and other effective blood sugar control measures, their condition must continue to develop, It's getting worse! Therefore, observing the relevant conditions of fundus retinopathy, under certain circumstances, you can get diabetes prevention, treatment effect evaluation data, diabetes damage to the eye and even systemic vascular changes, including the overall level and effect of blood sugar control over time , Combined with the changes in fundus image feature data, professional health managers can also combine sugar net patients' recent sugar control effects and physical health analysis; give relevant health services or suggestions for the prevention of major complications of diabetes, To achieve the effect of curing the disease.
  • the sugar net patient can go to any place where the image acquisition terminal is set, collect and upload his own fundus image at this moment to the fundus image processing terminal, the fundus image processing terminal automatically reads the fundus image of the sugar net patient at different periods before this, and It is analyzed and processed, the whole process is high in efficiency, the cost of charging is low, and the experience of the sugar net patient is good, and the data after analysis and processing can be sent to the sugar net patient himself, so that the sugar net patient has the development of their eyes and fundus retinopathy Understand; the above analysis report and health service suggestions implemented by this system can even continuously improve the net patients' own understanding of their systemic health and the effect of sugar control therapy, enhance the consciousness of lifestyle intervention, and achieve personalized health Big data service!
  • FIG. 1 is a flowchart of a method for analyzing changes in characteristic data of a sugar mesh fundus according to a specific embodiment
  • FIG. 2 is a block diagram of a storage device according to a specific embodiment
  • FIG. 3 is a schematic diagram of an analysis system of the change of characteristic data of a sugar net fundus according to the specific embodiment.
  • Terminal for acquiring fundus image Terminal for acquiring fundus image
  • a method for analyzing changes in characteristic data of a sugar net fundus can be applied to a storage device, which includes but is not limited to: a personal computer, a server, a general-purpose computer, and a dedicated computer , Network equipment, intelligent mobile terminals, etc.
  • a general-purpose computer is taken as an example.
  • the general-purpose computer is installed with a fundus screening feature data change analysis system or a remote fundus image data analysis center, or a browser is provided, which can open a webpage through the browser to log in related Fundus image data analysis center of cloud health service system.
  • a specific implementation method of a method for analyzing changes in the characteristic data of the fundus fundus is as follows:
  • Step S101 Acquire a fundus image of a sugar net patient.
  • the fundus camera of the sugar net patient is obtained through the fundus camera of the grassroots application institution (such as a grassroots medical institution, health examination, health management or grassroots community clinic), and the obtained fundus image is transmitted to the PC through the data line
  • the upper part is processed by the fundus image data analysis workstation software, or sent to the PC through the network, and the PC is sent to the fundus image data analysis center; sugar net patients can also upload the fundus image through the mobile terminal device.
  • the grassroots application institutions may be those remote areas where there is no professional ophthalmologist staff, or where the cost of staffing professional ophthalmologists is very high.
  • step S102 extracting and identifying the fundus image feature data, and storing the fundus image feature data.
  • the following methods can be adopted: through automatic or semi-automatic human-computer interactive methods, the DR microhemangioma, bleeding spot, and rigid exudative fundus image feature data are extracted and stored, wherein the fundus image and fundus image feature data can be stored to
  • the cloud server can also store the fundus image and the fundus image feature data to a specific server, and can also store the fundus image and the fundus image feature data to a local storage device.
  • the purpose of storing the fundus image and the fundus image feature data is to facilitate the same sugar net patient to come over for inspection or screening every time, and compare the currently collected data with the previously collected data, which is better Data analysis.
  • step S103 After storing the fundus image feature data, step S103 is performed: it is judged whether the sugar net patient's previous fundus image feature data is stored, and if the sugar net patient's early fundus image feature data is stored, the analysis and comparison The fundus image feature data of the sugar net patient in different periods is obtained, and the changes of the fundus screening feature data of the sugar net patient at this time are acquired.
  • the following methods can be used: according to the patient's name and ID card to query the database, whether the early stage fundus image and fundus image feature data of the sugar mesh patient are stored, if the early stage fundus image and fundus image feature data of the sugar mesh patient are stored , Then analyze and compare the fundus image and fundus image feature data in different periods of the sugar net patients to obtain the changes of fundus screening feature data. details as follows:
  • the fundus image corrects the identification of the feature data of the fundus image.
  • the fundus structure parameters include: the position of the macula, the position of the optic disc, and the information of the main blood vessel; and automatically analyze the changes of the feature data of the fundus image.
  • the "identifying the fundus image feature data” further includes the steps of: identifying microhemangioma and its relative position to the macular fovea; identifying the size of the bleeding spot and its relative position to the macular fovea; identifying and analyzing hard exudation The range and the minimum distance from the fovea.
  • a fundus image with a clear image and a clear observation of the optic disc, macular, and blood vessels in the image to be analyzed is used as a standard reference image, and the standard image is processed to generate a standard grayscale histogram;
  • the grayscale distribution of the standard grayscale histogram maps the grayscale of the rest of the fundus image to be analyzed to obtain a fundus image with the same grayscale distribution as the standard reference image.
  • a morphological filter is established to determine the position of the macula and optic disc. That is: after preprocessing, the macula has extremely low brightness, the optic disc has extremely high brightness, the shape of the two tends to be round, and the relative distance and position of the two are fixed. In this way, the morphological filter is implemented to detect the The circular area with extremely low brightness and extremely high brightness is used as a candidate area for the macula and the optic disc, and the wrong candidate area is filtered according to the distance and position of the two, and then the central positions of the macula and the optic disc are determined.
  • the preprocessed fundus image, the main vessels of the fundus have similar grayscale information, and have a high contrast with the background, the main vessels can be segmented by the above features.
  • the main blood vessel can be segmented by using a threshold segmentation method. After segmenting the main blood vessel, according to the position of the macula, the position of the optic disc, and the information of the main blood vessel, identify the change area of the fundus image for the fundus image. By changing the area, you can quickly see whether the number of microhemangiomas, bleeding points, or rigid exudation has increased, and whether the range of rigid exudation has expanded or further approached the macular condition.
  • the characteristic data of the fundus image in the fundus image can also be identified by rectangles: microhemangioma area, bleeding area, and hard exudation area (at the same time, the size of these characteristic areas and the macular area are recorded in the database
  • the relative position of the fovea) can represent different DR features and regions, such as white for hard exudation, pink for microhemangioma, and green for bleeding points; then align the fundus image according to fundus parameters, which include: macular The position of the optic disc, the position of the optic disc and the information of the main blood vessel; identify the area of the fundus image change.
  • Step S104 Analyze and process the changes in the fundus screening feature data.
  • the following methods may be used: analysis and calculation of the sugar control effect and physical health status of the sugar net patient within a preset time period; and giving corresponding health service suggestions according to the analysis results; generating the sugar control effect, physical health status and The report of the health service recommendation, and send the report-related information to the mobile terminal device of the sugar net patient.
  • the obtained data can be sent directly to the sugar net patient, so that the sugar net patient can better understand their own health status, and can also be sent to professional medical staff with the consent of the sugar net patient. Institutions, assist medical personnel to quickly have an understanding of the conditions of sugar net patients, and provide follow-up disease control recommendations for sugar net patients.
  • the results of data processing and analysis include: whether the number or size of microhemangioma increases, whether the area of rigid exudation expands, and whether the macular area is involved; if there are conditions, you can refer to the basic application organization to accompany the fundus image.
  • Related physical examination data such as relevant medical consultation data, such as whether there is a significant increase or decrease in weight and waist circumference, diet, exercise, non-smoking and drinking less, etc., to assist in the assessment of basic lifestyle treatment; if there is an increase in the number of microhemangioma, rigid exudation
  • the phenomenon of the expansion of the range indicates that the blood glucose control level is poor during this period, and the condition of retinopathy continues to develop, and further control is needed to ensure a good lifestyle; if there is a significant increase in the number of microhemangioma or bleeding spots, the area of hard exudation Expanding and affecting the macular area, it is recommended to conduct further follow-up visits and treatment; if there is no obvious change in microhemangioma and rigid exudation, it means that the level of control is good, and you should continue to maintain a good lifestyle and continue treatment as directed by your doctor; in particular, when the number of hemangioma Decrease or disappearance of some hemangioma
  • sugar-net patients can collect their own fundus images at any place where the fundus image acquisition device is installed, and then upload the corresponding fundus images to the fundus image processing terminal, which will store the fundus images , And automatically analyze and compare the fundus images of the patients with the sugar mesh in different periods to obtain the changes in the features of the fundus image, and analyze and process the changes in the features of the fundus images of the sugar mesh patient.
  • the processing process has high efficiency, low cost, and a good experience for sugar net patients, and the data after analysis and processing can be sent to the sugar net patients themselves, so that the sugar net patients can understand their own fundus health, or professional medical staff can let medical staff According to the analysis results, give the sugar net patients better treatment suggestions, etc.
  • the method further includes the steps of generating an analysis report and sending information related to the analysis report to the mobile terminal device of the sugar net patient.
  • the analysis report related information includes: one of the analysis report, the analysis report download link, and the recommendation report One or more.
  • a specific implementation of a storage device 200 is as follows:
  • a storage device 200 in which an instruction set is stored, the instruction set is used to perform: acquiring a fundus image of a sugar net patient; extracting and identifying feature data of the fundus image; storing the feature data of the fundus image; judging whether or not Store the fundus image feature data of the early stage of the sugar net patient, and if store the fundus image feature data of the early stage of the sugar net patient, analyze and compare the fundus image feature data of the sugar net patient at different periods to obtain the sugar net
  • the following methods can be used:
  • the fundus image of the sugar net patient through the fundus camera of the basic application institution (such as: primary medical institution, health checkup, health management or basic community clinic), and transfer the obtained fundus image to the PC through the data line to the fundus image data
  • the analysis workstation software is used for processing, or sent to the PC through the network, and the PC sends it to the fundus image data analysis center; sugar net patients can also upload the fundus image through the mobile terminal device.
  • the community application institutions may be those remote areas where there is no professional ophthalmologist staff, or where the cost of staffing professional ophthalmologists is very high.
  • the fundus image data analysis center or the above-mentioned fundus image data analysis workstation software acquires the fundus image of the sugar net patient, the fundus image feature data is extracted and identified, and the fundus image feature data is stored.
  • the following methods can be adopted: through automatic or semi-automatic human-computer interactive methods, the DR microhemangioma, bleeding spot, and rigid exudative fundus image feature data are extracted and stored, wherein the fundus image and fundus image feature data can be stored to
  • the cloud server can also store the fundus image and the fundus image feature data to a specific server, and can also store the fundus image and the fundus image feature data to a local storage device.
  • the purpose of storing the fundus image and the fundus image feature data is to facilitate the same sugar net patient to come over for inspection or screening every time, and compare the currently collected data with the previously collected data, which is better Data analysis.
  • the fundus image feature data After storing the fundus image feature data, determine whether the early stage fundus image feature data of the sugar mesh patient is stored, and if the feature fundus image feature data of the early stage of the sugar mesh patient are stored, analyze and compare the sugar mesh patient The fundus image feature data in different periods, to obtain the changes of the fundus screening feature data of the sugar net patient at this time.
  • the following methods can be used: according to the patient's name and ID card to query the database, whether the early stage fundus image and the fundus image feature data of the sugar net patient are stored, if the early stage fundus image and the fundus image of the sugar net patient are stored
  • For feature data analyze and compare the fundus image and the fundus image feature data of the patients in different periods of the sugar net to obtain the changes of fundus screening feature data. details as follows:
  • the fundus image corrects the identification of the feature data of the fundus image.
  • the fundus structure parameters include: the position of the macula, the position of the optic disc, and the information of the main blood vessel; and automatically analyze the changes of the feature data of the fundus image.
  • the "identifying the fundus image feature data” further includes the steps of: identifying microhemangioma and its relative position to the macular fovea; identifying the size of the bleeding spot and its relative position to the macular fovea; identifying and analyzing hard exudation The range and the minimum distance from the fovea.
  • a fundus image with a clear image and a clear observation of the optic disc, macular, and blood vessels in the image to be analyzed is used as a standard reference image, and the standard image is processed to generate a standard grayscale histogram;
  • the grayscale distribution of the standard grayscale histogram maps the grayscale of the rest of the fundus image to be analyzed to obtain a fundus image with the same grayscale distribution as the standard reference image.
  • a morphological filter is established to determine the position of the macula and optic disc. That is: after preprocessing, the macula has extremely low brightness, the optic disc has extremely high brightness, the shape of the two tends to be round, and the relative distance and position of the two are fixed. In this way, the morphological filter is implemented to detect the The circular area with extremely low brightness and extremely high brightness is used as a candidate area for the macula and the optic disc, and the wrong candidate area is filtered according to the distance and position of the two, and then the central positions of the macula and the optic disc are determined.
  • the preprocessed fundus image, the main vessels of the fundus have similar grayscale information, and have a high contrast with the background, the main vessels can be segmented by the above features.
  • the main blood vessel can be segmented by using a threshold segmentation method. After the main blood vessel is segmented, according to the position of the macula, the position of the optic disc, and the information of the main blood vessel, the change area of the fundus image is identified for the fundus image. By changing the area, you can quickly see whether the number of microhemangiomas, bleeding points, or rigid exudation has increased, and whether the range of rigid exudation has expanded or further approached the macular condition.
  • the characteristic data of the fundus image in the fundus image can also be identified by rectangles: microhemangioma area, bleeding area, and hard exudation area (at the same time, the size of these characteristic areas and the macular area are recorded in the database
  • the relative position of the fovea) can represent different DR features and regions, such as white for hard exudation, pink for microhemangioma, and green for bleeding points; then align the fundus image according to fundus parameters, which include: macular The position of the optic disc, the position of the optic disc and the information of the main blood vessel; identify the area of the fundus image change.
  • Analyze and process the changes in the fundus screening characteristic data The following methods may be used: analysis and calculation of the sugar control effect and physical health status of the sugar net patient within a preset time period; and giving corresponding health service suggestions according to the analysis results; generating the sugar control effect, physical health status and The report of the health service recommendation, and send the report-related information to the mobile terminal device of the sugar net patient.
  • the obtained data can be sent directly to the sugar net patient, so that the sugar net patient can better understand their own health status, and can also be sent to professional medical staff with the consent of the sugar net patient. Institutions, assist medical personnel to quickly have an understanding of the conditions of sugar net patients, and provide follow-up disease control recommendations for sugar net patients.
  • the results of data processing and analysis include: whether the number or size of microhemangioma increases, whether the area of rigid exudation expands, and whether the macular area is involved; if there are conditions, you can refer to the basic application organization to accompany the fundus image.
  • Related physical examination data such as relevant medical consultation data, such as whether there is a significant increase or decrease in weight and waist circumference, diet, exercise, non-smoking and drinking less, etc., to assist in the assessment of basic lifestyle treatment; if there is an increase in the number of microhemangioma, rigid exudation
  • the phenomenon of the expansion of the range indicates that the blood glucose control level is poor during this period, and the condition of retinopathy continues to develop, and further control is needed to ensure a good lifestyle; if there is a significant increase in the number of microhemangioma or bleeding spots, the area of hard exudation Expanding and affecting the macular area, it is recommended to conduct further follow-up visits and treatment; if there is no obvious change in microhemangioma and rigid exudation, it means that the level of control is good, and you should continue to maintain a good lifestyle and continue treatment as directed by your doctor; in particular, when the number of hemangioma Decrease or disappearance of some hemangioma
  • Steps are executed through the instruction set on the storage device 200: by acquiring fundus images of the patients with the sugar net at different periods, storing the fundus images and their structured processed fundus image feature data; by automatically analyzing and comparing the different periods
  • the fundus feature image is used to obtain the changes of the fundus image feature of the sugar net patient; the feature change of the fundus image feature of the sugar net patient is analyzed and processed.
  • sugar-net patients can collect their own fundus images at any place where the fundus image acquisition device is installed, and then upload the corresponding fundus images to the fundus image processing terminal, which will store the fundus images , And automatically analyze and compare the fundus images of the patients with the sugar mesh in different periods to obtain the changes in the features of the fundus image, and analyze and process the changes in the features of the fundus images of the sugar mesh patient.
  • the processing process has high efficiency, low cost, and a good experience for sugar net patients, and the data after analysis and processing can be sent to the sugar net patients themselves, so that the sugar net patients can understand their own fundus health, or professional medical staff can let medical staff According to the analysis results, give the sugar net patients better treatment suggestions, etc.
  • the method further includes the steps of generating an analysis report and sending information related to the analysis report to the mobile terminal device of the sugar net patient.
  • the analysis report related information includes: one of the analysis report, the analysis report download link, and the recommendation report One or more.
  • an analysis system 300 for the change of the characteristic data of the fundus fundus is as follows:
  • a sugar net fundus characteristic data change analysis system 300 includes: a fundus image acquisition terminal 301 and a fundus image processing terminal 302, the fundus image processing terminal 302 includes: a data storage module 3021, a fundus image analysis and comparison module 3022, and a result Analysis module 3023; the fundus image acquisition terminal 301 is connected to the fundus image processing terminal 302; the fundus image acquisition terminal 301 is used to: acquire a fundus image of a sugar net patient and send the fundus image to the fundus image processing terminal 302; The fundus image processing terminal 302 is used to: extract and identify the fundus image feature data; the data storage module 3021 is used to: store the fundus image feature data; the fundus image analysis comparison module 3022 is used to : Determine whether the fundus image feature data of the early stage of the sugar net patient is stored.
  • the fundus image feature data of the early stage of the sugar net patient is stored, analyze and compare the fundus image feature data of the sugar net patient at different periods to obtain The changes of the characteristic data of the fundus image of the sugar net patient during the screening; the result analysis module 3023 is used for analyzing and processing the changes of the characteristic data of the fundus screening.
  • the fundus image acquisition terminal 301 includes: a fundus image acquisition terminal and a PC, the fundus image acquisition terminal is preferably a fundus camera, and the fundus image processing terminal 302 includes but is not limited to: a personal computer, a server, a general-purpose computer, a dedicated Computers, network equipment, smart mobile terminals, smart home equipment, etc.
  • the fundus image of the sugar net patient can be obtained by the fundus camera, and the obtained fundus image can be transmitted to the PC through the data line for processing by the fundus image data analysis workstation software, or sent to the PC through the network, and the PC can send the fundus image Data analysis center; sugar net patients can also upload fundus images through mobile terminal devices.
  • the grassroots application institutions may be those remote areas where there is no professional ophthalmologist staff, or where the cost of staffing professional ophthalmologists is very high.
  • the data storage module 3021 inquires whether the early stage fundus image and the fundus image feature data of the sugar net patient are stored. If the early stage fundus image and the fundus image feature data of the sugar net patient are stored, The fundus image analysis and comparison module 3022 analyzes and compares the fundus image feature data in different periods of the sugar net patient to obtain the changes in the fundus image feature of the sugar net patient.
  • the fundus image analysis and comparison module 3022 is also used to: establish a brightness histogram equalization to preprocess the fundus image; establish a morphological filter to determine the position of the macula and optic disc in the preprocessed fundus image; segmentation The main vessels of the pre-treated fundus image; align the fundus image according to the fundus structure parameters and correct the identification of the feature data of the fundus image.
  • the fundus structure parameters include: the position of the macula, the position of the optic disc and the information of the main vessel; The characteristic data of the fundus image changes. The following methods can be used:
  • a morphological filter is established to determine the position of the macula and optic disc. That is: after preprocessing, the macula has extremely low brightness, the optic disc has extremely high brightness, the shape of the two tends to be round, and the relative distance and position of the two are fixed. In this way, the morphological filter is implemented to detect the The circular area with extremely low brightness and extremely high brightness is used as a candidate area for the macula and the optic disc, and the wrong candidate area is filtered according to the distance and position of the two, and then the central positions of the macula and the optic disc are determined.
  • the main blood vessels of the fundus have similar gray-scale information and a high contrast with the background.
  • the main blood vessels can be segmented by the above features.
  • the main blood vessel can be segmented by using a threshold segmentation method. After the main blood vessel is segmented, according to the position of the macula, the position of the optic disc, and the information of the main blood vessel, the change area of the fundus image is identified for the fundus image. By changing the area, you can quickly see whether the number of microhemangiomas, bleeding points, or rigid exudation has increased, and whether the range of rigid exudation has expanded or further approached the macular condition.
  • the characteristic data of the fundus image in the fundus image can also be identified by rectangles: microhemangioma area, bleeding area, and hard exudation area (at the same time, the size of these characteristic areas and the macular area are recorded in the database
  • the relative position of the fovea) can represent different DR features and regions, such as white for hard exudation, pink for microhemangioma, and green for bleeding points; then align the fundus image according to fundus parameters, which include: macular The position of the optic disc, the position of the optic disc and the information of the main blood vessel; identify the area of the fundus image change.
  • the result analysis module 3023 is also used to:
  • the obtained data can be sent directly to the sugar net patient, so that the sugar net patient can better understand their own health status, and can also be sent to a professional medical institution with the consent of the sugar net patient to assist medical care.
  • the staff quickly had an understanding of the conditions of the patients with sugar reticulum, and provided follow-up disease control recommendations for patients with sugar reticulum.
  • the results of data processing and analysis include: whether the number or size of microhemangioma increases, whether the area of rigid exudation expands, and whether the macular area is involved; if there are conditions, you can refer to the basic application organization to accompany the fundus image.
  • Related physical examination data such as relevant medical consultation data, such as whether there is a significant increase or decrease in weight and waist circumference, diet, exercise, non-smoking and drinking less, etc., to assist in the evaluation of basic lifestyle treatment; if there are increased numbers of microhemangioma, rigid exudation
  • the phenomenon of the expansion of the range indicates that the blood glucose control level is poor during this period, and the condition of retinopathy continues to develop, and further control is needed to ensure a good lifestyle; if there is a significant increase in the number of microhemangioma or bleeding spots, the area of hard exudation Expanding and affecting the macular area, it is recommended to conduct further follow-up visits and treatment; if there is no obvious change in microhemangioma and rigid exudation, it means that the level of control is good, and you should continue to maintain a good lifestyle and continue treatment as directed by your doctor; in particular, when the number of hemangioma Decrease or disappearance of some hemangioma means that the
  • the fundus image acquisition terminal 301 automatically acquires the fundus images of the patients of the sugar net at different periods, and the data storage module 3021 stores the fundus images; the fundus image analysis and comparison module 3022 automatically analyzes and compares the fundus images of different periods to obtain sugar Changes in the characteristics of the fundus image of the net patient; the result analysis module 3023 analyzes and processes the changes in the characteristics of the fundus image of the sugar net patient.
  • sugar-net patients can collect their own fundus images at any place where the fundus image acquisition device is installed, upload them to the fundus image processing terminal 302, and the fundus image processing terminal 302 will store the fundus images and automatically Analyze and compare the fundus images of the patients with the sugar mesh in different periods, obtain the changes of the fundus image features, and analyze and process the changes of the features of the fundus images of the sugar mesh patient.
  • the sugar net patient can go to any place where an image acquisition terminal is provided, collect and upload his own fundus image to the fundus image processing terminal 302, and the fundus image processing terminal 302 automatically reads the fundus image of the sugar net patient at different periods before that, And analyze and process it, the data analysis process is high in efficiency, low in cost, and the sugar net patient has a good experience, and the analyzed data can be sent to the sugar net patient himself, so that the sugar net patient can understand their fundus health, Or send it to a professional medical staff, and let the medical staff give the sugar net patients better treatment suggestions based on the analysis results.
  • the result analysis module 3023 can also be used to generate an analysis report and send the analysis report related information to the mobile terminal device of the sugar net patient.
  • the analysis report related information includes: analysis report, analysis report One or more of the download links and recommendation reports.

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Abstract

An analysis method and system for feature data change of a diabetic retinopathy fundus image, and a storage device, relating to the field of fundus image processing. The analysis method for the feature data change of the diabetic retinopathy fundus comprises the steps: obtaining the fundus image of a diabetic retinopathy patient (S101); extracting and storing the feature data of the fundus image (S102); analyzing and comparing the feature data of the fundus images of different stages of the diabetic retinopathy patient, and obtaining the fundus screening feature data change of the diabetic retinopathy patient for this time (S103); and analyzing and processing the fundus screening feature data change (S104). During a whole process, the diabetic retinopathy patient can go to any place where a fundus image obtaining device is provided so as to collect the fundus image of the patient, and then uploads the corresponding fundus image to a fundus image processing terminal; the fundus image processing terminal stores the fundus image, and automatically compares and analyzes the fundus image feature data change obtained at different stages.

Description

糖网眼底特征数据变化的分析方法与***,及存储设备Analysis method and system of sugar net fundus characteristic data changes, and storage equipment 技术领域Technical field
本发明涉及眼底图像处理领域,特别涉及糖网眼底特征数据变化的分析方法与***,及存储设备。The invention relates to the field of fundus image processing, in particular to a method and system for analyzing changes in characteristic data of a sugar net fundus, and a storage device.
背景技术Background technique
针对糖尿病等慢病,我国有数百个移动医疗APP可以使用,但大都以血糖为中心,不能获得全身性血管与神经等个体化信息,不知道糖尿病得病时间,也很难清楚全身性健康受破坏情况。For chronic diseases such as diabetes, there are hundreds of mobile medical APPs available in China, but most of them are centered on blood sugar, and cannot obtain personalized information such as systemic blood vessels and nerves. Without knowing the time when diabetes is sick, it is difficult to know the general health. Destruction situation.
糖尿病患者的知晓率、知晓并得到治疗的糖尿病患者的比例以及得到治疗患者中血糖得到有效控制的比例均不到35%,究其主要原因,一是人数众多的二型糖尿病患者在其严重并发症出现之前,自身没有感觉,难以实现“治未病”;二是饮食、运动等最为重要或必要的生活方式干预基础治疗迄今缺乏激励手段或方法,难以取得好的治疗效果!这些问题或困难需要去解决或克服。The awareness rate of diabetic patients, the proportion of diabetic patients who are aware of and treated, and the proportion of treated patients whose blood glucose is effectively controlled are less than 35%. The main reason is that the large number of type 2 diabetic patients are seriously complicated Before the onset of symptoms, it is difficult to achieve "treatment without disease"; second, the most important or necessary lifestyle intervention basic treatments such as diet and exercise have so far lacked incentives or methods, and it is difficult to achieve good therapeutic effects! These problems or difficulties need to be solved or overcome.
糖尿病性视网膜病变(糖网)是糖尿病的主要并发症之一,是工作年龄人群不可逆盲的首要原因。随着糖尿病的病程增长,糖网的患病风险不断增大,最终可能导致不可逆的失明。Diabetic retinopathy (sugar reticulum) is one of the main complications of diabetes and the leading cause of irreversible blindness in working-age people. As the course of diabetes grows, the risk of sugar webs continues to increase, which may eventually lead to irreversible blindness.
糖网患者如果不加以适当的生活方式干预基础治疗及药物治疗,其眼底视网膜的病变特征,如微血管瘤、出血点、硬性渗出的数量和大小、分布等病情或病变特征就一定会不断发展;Without proper lifestyle intervention and basic treatment and drug treatment, patients with sugar reticulum will develop disease characteristics such as microhemangioma, bleeding point, number and size of hard exudation, and distribution of disease or disease characteristics. ;
因此,如果能利用糖网患者的病情发展的上述特点,进行每年一次的眼底筛查后,获取的视网膜病变特征,通过逐年糖网特征数据变化情况的比对和分析,进而评估糖尿病视网膜病变患者眼底情况的变化,就能得到相关预防、治疗效果的评估数据,包括糖尿病对眼睛的伤害情况、一段时间以来血糖控制的总体水平和治疗效果,为增强糖尿病患者生活方式干预基础治疗的依从性,提供一种威慑性的“激励”机制!Therefore, if the above-mentioned characteristics of the development of patients with sugar reticulum can be used, the retinopathy characteristics obtained after annual fundus screening can be compared and analyzed through the comparison and analysis of the annual changes in sugar reticulum data to further evaluate patients with diabetic retinopathy Changes in fundus conditions can be used to obtain evaluation data on the effects of prevention and treatment, including the damage of diabetes to the eyes, the overall level of blood sugar control and the treatment effect over a period of time, in order to enhance the compliance of basic treatments for diabetes patients with lifestyle interventions, Provide a deterrent "incentive" mechanism!
眼底是人体中唯一不需要通过手术就能直接观察到血管和神经的部位,眼底照相可以让我们获得精准医学下的个体化健康医学信息;如果我们对糖尿病患者每次的眼底筛查数据都能实现结构化的特征数据处理、存储和随访,就有可能实现对不同时期获取的眼底图像和相关的身体指标特征数据变化情况的比对和分析,结合问诊资料,为实现对糖尿病患者的健康管理或健康大数据服务,提供一种新方法!。The fundus is the only part of the human body where blood vessels and nerves can be directly observed without surgery. Fundus photography allows us to obtain personalized health medical information under precision medicine; if we can screen the data of diabetic patients every time fundus screening By implementing structured feature data processing, storage and follow-up, it is possible to achieve comparison and analysis of changes in fundus images and related body index feature data acquired in different periods, combined with interrogation data, in order to achieve the health of diabetic patients Management or health big data service, provide a new method! .
发明内容Summary of the invention
为此,需要提供一种糖网眼底特征数据变化的分析方法,用以解决上述提到的技术问题。其具体技术方案如下:To this end, it is necessary to provide a method for analyzing the changes of the characteristic data of the fundus of the fundus to solve the technical problems mentioned above. The specific technical solutions are as follows:
一种糖网眼底特征数据变化的分析方法,包括步骤:获取糖网患者的眼底图像;提取并标识所述眼底图像特征数据;对所述眼底图像特征数据进行存储;判断是否存储有该糖网患者前期的眼底图像特征数据,若存储有所述糖网患者前期的眼底图像特征数据,则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次眼底筛查特征数据的变化情况;对所述眼底筛查特征数据变化情况进行分析处理。A method for analyzing the changes of the fundus characteristic data of the sugar mesh, including the steps of: obtaining the fundus image of the sugar mesh patient; extracting and identifying the feature data of the fundus image; storing the feature data of the fundus image; determining whether the sugar mesh is stored The fundus image feature data of the early stage of the patient, if the fundus image feature data of the early stage of the sugar mesh patient is stored, analyze and compare the fundus image feature data of the sugar mesh patient at different periods to obtain the fundus sieve of the sugar mesh patient Check the change of the characteristic data; analyze and process the change of the fundus screening characteristic data.
进一步的,所述“则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次眼底筛查特征数据的变化情况”,还包括步骤:建立亮度直方图均衡对眼底图像进行预处理;建立形态滤波器确定预处理后的眼底图像中黄斑及视盘的位置;分割预处理后的眼底图像的主血管;根据眼底结构参数对齐眼底图像,修正所述眼底图像特征数据的标识,所述眼底结构参数包括:黄斑的位置、视盘的位置和主血管信息;自动分析所述眼底图像特征数据变化。Further, the "then analyze and compare the fundus image feature data of the sugar net patient at different periods to obtain the changes of the fundus screening feature data of the sugar net patient at this time", further includes the step of: establishing a brightness histogram equalization Pre-process the fundus image; establish a morphological filter to determine the position of the macula and optic disc in the pre-processed fundus image; segment the main vessels of the pre-processed fundus image; align the fundus image according to the fundus structure parameters and correct the characteristics of the fundus image Data identification, the fundus structure parameters include: the position of the macula, the position of the optic disc, and the information of the main blood vessel; and automatically analyze the changes of the feature data of the fundus image.
进一步的,“对所述眼底筛查特征数据变化情况进行分析处理”,还包括步骤:分析计算得到所述糖网患者预设时间段内的控糖效果以及身体健康状况;并根据分析结果给出对应的健康服务建议;生成所述控糖效果、身体健康状况以及所述健康服务建议的报告,并发送所述报告相关信息至所述糖网患者的移动终端设备。Further, "analyzing and processing the changes in the fundus screening characteristic data" further includes the steps of: analyzing and calculating the sugar control effect and physical health status of the sugar net patient within a preset time period; and according to the analysis results Corresponding health service recommendations; generate a report of the sugar control effect, physical health status, and health service recommendations, and send the report-related information to the mobile terminal device of the sugar net patient.
进一步的,所述“标识所述眼底图像特征数据”,还包括步骤:标识微血管瘤及其与黄斑中心凹相对位置;标识出血点的大小及其与黄斑中心凹的相对位置;标识并分析硬性渗出的范围及其与黄斑中心凹的最小距离。Further, the "identifying the feature data of the fundus image" further includes the steps of: identifying the microhemangioma and its relative position to the fovea; identifying the size of the bleeding spot and its relative position to the fovea; identifying and analyzing the rigidity The extent of exudation and its minimum distance from the fovea of the macula.
为解决上述技术问题,还提供了一种存储设备,具体技术方案如下:To solve the above technical problems, a storage device is also provided. The specific technical solutions are as follows:
一种存储设备,其中存储有指令集,所述指令集用于执行:获取糖网患者的眼底图像;提取并标识所述眼底图像特征数据;对所述眼底图像特征数据进行存储;判断是否存储有该糖网患者前期的眼底图像特征数据,若存储有所述糖网患者前期的眼底图像特征数据,则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次眼底筛查特征数据的变化情况;对所述眼底筛查特征数据变化情况进行分析处理。A storage device, in which an instruction set is stored, the instruction set is used to perform: acquiring a fundus image of a sugar net patient; extracting and identifying feature data of the fundus image; storing the feature data of the fundus image; judging whether to store There is the fundus image feature data of the early stage of the sugar net patient, if the fundus image feature data of the early stage of the sugar net patient is stored, the fundus image feature data of the sugar net patient at different periods are analyzed and compared to obtain the sugar net patient The changes of the fundus screening characteristic data at this time; analyzing and processing the changes of the fundus screening characteristic data.
进一步的,所述指令集还用于执行:所述“则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次眼底筛查特征数据的变化情况”,还包括步骤:建立亮度直方图均衡对眼底图像进行预处理;建立形态滤波器确定预处理后的眼底图像中黄斑及视盘的位置;分割预处理后的眼底图像的主血管;根据眼底结构参数对齐眼底图像,修正所述眼底图像特征数据的标识,所述眼底结构参数包括:黄斑的位置、视盘的位置和主血管信息;自动分析所述眼底图像特征数据变化。Further, the instruction set is also used to execute: "then analyze and compare the fundus image feature data of the sugar net patient at different periods to obtain the changes of the fundus screening feature data of the sugar net patient at this time", It also includes the steps of: establishing a brightness histogram equalization to preprocess the fundus image; establishing a morphological filter to determine the position of the macula and optic disc in the preprocessed fundus image; segmenting the main blood vessels of the preprocessed fundus image; aligning according to the fundus structure parameters The fundus image corrects the identification of the feature data of the fundus image. The fundus structure parameters include: the position of the macula, the position of the optic disc, and the information of the main blood vessel; and automatically analyze the changes of the feature data of the fundus image.
进一步的,所述指令集还用于执行:“对所述眼底筛查特征数据变化情况进行分析处理”,还包括步骤:分析计算得到所述糖网患者预设时间段内的控糖效果以及身体健康状况;并根据分析结果给出对应的健康服务建议;生成所述控糖效果、身体健康状况以及所述健康服务建议的报告,并发送所述报告相关信息至所述糖网患者的移动终端设备。Further, the instruction set is also used to execute: "analyze and analyze the changes in the fundus screening characteristic data", and further includes the steps of: analyzing and calculating the sugar control effect within a preset time period of the sugar net patient and Physical health status; and give corresponding health service recommendations based on the analysis results; generate reports on the sugar control effect, physical health status, and health service recommendations, and send the report-related information to the mobile patients of the sugar net Terminal Equipment.
进一步的,所述指令集还用于执行:所述“标识所述眼底图像特征数据”,还包括步骤:标识微血管瘤及其与黄斑中心凹相对位置;标识出血点的大小及其与黄斑中心凹的相对位置;标识并分析硬性渗出的范围及其与黄斑中心凹的最小距离。Further, the instruction set is also used to execute: "Identify the characteristic data of the fundus image", further comprising the steps of: identifying microhemangioma and its relative position to the fovea; identifying the size of the bleeding spot and its center The relative position of the fovea; identify and analyze the range of hard exudation and its minimum distance from the fovea of the macula.
为解决上述技术问题,还提供一种糖网眼底特征数据变化的分析***,具体技术方案如下:In order to solve the above technical problems, an analysis system for the change of the characteristic data of the fundus of the sugar net is also provided. The specific technical solutions are as follows:
一种糖网眼底特征数据变化的分析***,包括:眼底图像获取终端和眼底图像处理终端,所述眼底图像处理终端包括:数据存储模块、眼底图像分析比对模块和结果分析模块;所述眼底图像获取终端连接所述眼底图像处理终端;所述眼底图像获取终端用于:获取糖网患者的眼底图像并发送所述眼底图像至眼底图像处理终端;所述眼底图像处理终端用于:提取并标识所述眼底图像特征数据;所述数据存储模块用于:对所述眼底图像特征数据进行存储,所述眼底图像分析比对模块用于:判断是否存储有该糖网患者前期的眼底图像特征数据,若存储有所述糖网患者前期的眼底图像特征数据,则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次筛查眼底图像特征数据的变化情况;所述结果分析模块用于:对所述眼底筛查特征数据变化情况进行分析处理。A sugar net fundus characteristic data change analysis system, including: a fundus image acquisition terminal and a fundus image processing terminal, the fundus image processing terminal includes: a data storage module, a fundus image analysis comparison module and a result analysis module; the fundus An image acquisition terminal is connected to the fundus image processing terminal; the fundus image acquisition terminal is used to: acquire a fundus image of a sugar net patient and send the fundus image to the fundus image processing terminal; the fundus image processing terminal is used to: extract and Identify the fundus image feature data; the data storage module is used to store the fundus image feature data, and the fundus image analysis and comparison module is used to determine whether the fundus image feature of the early stage of the sugar net patient is stored Data, if the fundus image feature data of the early stage of the sugar mesh patient is stored, analyze and compare the fundus image feature data of the sugar mesh patient at different periods, and obtain the changes of the fundus image feature data of the sugar mesh patient at this screening Situation; the result analysis module is used to: analyze and process the changes of the fundus screening characteristic data.
进一步的,所述眼底图像分析比对模块还用于:建立亮度直方图均衡对眼底图像进行预处理;建立形态滤波器确定预处理后的眼底图像中黄斑及视盘的位置;分割预处理后的眼底图像的主血管;根据眼底结构参数对齐眼底图像,修正所述眼底图像特征数据的标识,所述眼底结构参数包括:黄斑的位置、视盘的位置和主血管信息;自动分析所述眼底图像特征数据变化;所述眼底图像处理终端还用于:标识微血管瘤及其与黄斑中心凹相对位置;标识出血点的大小及其与黄斑中心凹的相对位置;标识并分析硬 性渗出的范围及其与黄斑中心凹的最小距离。Further, the fundus image analysis and comparison module is also used to: establish a brightness histogram equalization to preprocess the fundus image; establish a morphological filter to determine the position of the macula and optic disc in the preprocessed fundus image; segment the preprocessed The main blood vessel of the fundus image; align the fundus image according to the fundus structure parameters and correct the identification of the feature data of the fundus image. The fundus structure parameters include: the position of the macula, the position of the optic disc and the information of the main blood vessel; automatically analyze the features of the fundus image Data changes; the fundus image processing terminal is also used to: identify microhemangioma and its relative position to the macular fovea; identify the size of the bleeding spot and its relative position to the macular fovea; identify and analyze the range of rigid exudation and its The minimum distance from the fovea.
本发明的有益效果是:通过自动获取糖网患者不同时期的眼底图像,对所述眼底图像和结构化处理后的眼底图像特征数据进行存储;通过自动分析比对不同时期的眼底图像特征数据,获取糖网患者眼底图像特征变化情况;对所述糖网患者眼底图像特征变化情况进行分析处理。以上整个过程中,糖网患者可到任意设置有眼底图像获取设备的地方采集自己的眼底图像,然后将对应的眼底图像上传至眼底图像处理终端,眼底图像处理终端会对所述眼底图像进行存储,并自动地对不同时期获取的眼底图像特征数据变化情况进行比对和分析。The beneficial effects of the present invention are: by automatically acquiring fundus images of patients in different periods of the sugar net, storing the fundus image and the structured processed fundus image feature data; by automatically analyzing and comparing the fundus image feature data of different periods, Obtain the changes in the characteristics of the fundus image of the patient in the sugar mesh; analyze and process the changes in the characteristics of the fundus image of the patient in the sugar mesh. Throughout the above process, sugar-net patients can collect their own fundus images at any place where the fundus image acquisition device is installed, and then upload the corresponding fundus images to the fundus image processing terminal, which will store the fundus images , And automatically compare and analyze the changes of fundus image feature data acquired in different periods.
由于糖尿病视网膜病变是糖尿病患者的主要严重并发症之一,也是我国首要的致盲眼病,患者如果不加以生活方式干预基础治疗以及其他有效的控制血糖措施,其病情一定是不断的向前发展、愈发严重!因此,观察眼底视网膜病变的相关情况,在一定情况下可以得到糖尿病预防、治疗效果的评估数据、糖尿病对眼睛的伤害情况甚至全身性血管改变的情况,包括一段时间以来血糖控制的总体水平和效果,结合眼底图像特征数据变化的情况,专业的健康管理人员还能结合糖网患者近期一段时间的控糖效果以及身体健康状况的分析;给出相关的健康服务或糖尿病重大并发症预防的建议,达到治未病的效果。Since diabetic retinopathy is one of the major serious complications of diabetic patients, it is also the leading blinding eye disease in China. If patients do not take basic interventions of lifestyle intervention and other effective blood sugar control measures, their condition must continue to develop, It's getting worse! Therefore, observing the relevant conditions of fundus retinopathy, under certain circumstances, you can get diabetes prevention, treatment effect evaluation data, diabetes damage to the eye and even systemic vascular changes, including the overall level and effect of blood sugar control over time , Combined with the changes in fundus image feature data, professional health managers can also combine sugar net patients' recent sugar control effects and physical health analysis; give relevant health services or suggestions for the prevention of major complications of diabetes, To achieve the effect of curing the disease.
糖网患者可到任意设置有图像采集终端的场所,采集并上传自己此刻的眼底图像至眼底图像处理终端,眼底图像处理终端自动读取该糖网患者在此之前不同时期的眼底图像,并对其进行分析处理,整个过程效率高,收费成本低,糖网患者体验佳,且分析处理后的数据可发送给糖网患者本人,让糖网患者对自己的眼睛、眼底视网膜病变的病情发展有所了解;本***实现的上述分析报告和健康服务建议,甚至可以不断提高网患者对自己的全身性健康,控糖治疗效果有进一步的了解,增强生活方式干预的自觉性,实现个性化的健康大数据服务!The sugar net patient can go to any place where the image acquisition terminal is set, collect and upload his own fundus image at this moment to the fundus image processing terminal, the fundus image processing terminal automatically reads the fundus image of the sugar net patient at different periods before this, and It is analyzed and processed, the whole process is high in efficiency, the cost of charging is low, and the experience of the sugar net patient is good, and the data after analysis and processing can be sent to the sugar net patient himself, so that the sugar net patient has the development of their eyes and fundus retinopathy Understand; the above analysis report and health service suggestions implemented by this system can even continuously improve the net patients' own understanding of their systemic health and the effect of sugar control therapy, enhance the consciousness of lifestyle intervention, and achieve personalized health Big data service!
附图说明BRIEF DESCRIPTION
图1为具体实施方式所述一种糖网眼底特征数据变化的分析方法的流程图;FIG. 1 is a flowchart of a method for analyzing changes in characteristic data of a sugar mesh fundus according to a specific embodiment;
图2为具体实施方式所述一种存储设备的模块图;2 is a block diagram of a storage device according to a specific embodiment;
图3为具体实施方式所述一种糖网眼底特征数据变化的分析***的示意图。FIG. 3 is a schematic diagram of an analysis system of the change of characteristic data of a sugar net fundus according to the specific embodiment.
附图标记说明:Description of reference signs:
200、存储设备,200. Storage equipment,
300、糖网眼底图像特征数据变化的分析***,300. Analysis system for the change of the characteristic data of the fundus image of the sugar net,
301、眼底图像获取终端,301. Terminal for acquiring fundus image,
302、眼底图像处理终端,302. Fundus image processing terminal,
3021、数据存储模块,3021, data storage module,
3022、眼底图像分析比对模块,3022. Comparison and analysis module of fundus image,
3023、结果分析模块。3023. Result analysis module.
具体实施方式detailed description
为详细说明技术方案的技术内容、构造特征、所实现目的及效果,以下结合具体实施例并配合附图详予说明。In order to explain in detail the technical content, structural features, achieved goals and effects of the technical solution, the following detailed description will be given in conjunction with specific embodiments and accompanying drawings.
请参阅图1,在本实施方式中,一种糖网眼底特征数据变化的分析方法可应用在一种存储设备上,所述存储设备包括但不限于:个人计算机、服务器、通用计算机、专用计算机、网络设备、智能移动终端等。在本实施方式中,以通用计算机为例,所述通用计算机上安装有眼底筛查特征数据变化分析***或远程眼底图像数据分析中心,或设置有浏览器,可通过浏览器打开网页登录相关的云健康服务***眼底图像数据分析中心。在本实施方式中,一种糖网眼底特征数据变化的分析方法的具体实施方式如下:Please refer to FIG. 1. In this embodiment, a method for analyzing changes in characteristic data of a sugar net fundus can be applied to a storage device, which includes but is not limited to: a personal computer, a server, a general-purpose computer, and a dedicated computer , Network equipment, intelligent mobile terminals, etc. In this embodiment, a general-purpose computer is taken as an example. The general-purpose computer is installed with a fundus screening feature data change analysis system or a remote fundus image data analysis center, or a browser is provided, which can open a webpage through the browser to log in related Fundus image data analysis center of cloud health service system. In this embodiment, a specific implementation method of a method for analyzing changes in the characteristic data of the fundus fundus is as follows:
步骤S101:获取糖网患者的眼底图像。可采用如下方式:通过基层应用机构(如:基层医疗机构、健康体检、健康管理或基层社区诊所)的眼底相机获取糖网患者的眼底图像,并将获取到的眼底图像通过数据线传送至PC上由眼底图像数据分析工作站软件进行处理,或通过网络发送至PC上,由PC发送至眼底图像数据分析中心;糖网患者亦可通过移动终端设备上传眼底图像。需要说明的是,在本实施方式中,基层应用机构可以是那些偏远地区,没有专业眼科医生人员,或者是配备专业眼科医生人员成本非常高的地方。Step S101: Acquire a fundus image of a sugar net patient. The following methods can be adopted: the fundus camera of the sugar net patient is obtained through the fundus camera of the grassroots application institution (such as a grassroots medical institution, health examination, health management or grassroots community clinic), and the obtained fundus image is transmitted to the PC through the data line The upper part is processed by the fundus image data analysis workstation software, or sent to the PC through the network, and the PC is sent to the fundus image data analysis center; sugar net patients can also upload the fundus image through the mobile terminal device. It should be noted that, in this embodiment, the grassroots application institutions may be those remote areas where there is no professional ophthalmologist staff, or where the cost of staffing professional ophthalmologists is very high.
眼底图像数据分析中心或上述眼底图像数据分析工作站软件获取完糖网患者的眼底图像后,执行步骤S102:提取并标识所述眼底图像特征数据,对所述眼底图像特征数据进行存储。可采用如下方式:通过自动或半自动的人机交互式方法,提取DR微血管瘤、出血点、硬性渗出的眼底图像特征数据并进行存储,其中可将所述眼底图像及眼底图像特征数据存放至云端服务器,亦可以将所述眼底图像及眼底 图像特征数据存放至特定服务器,亦可以将所述眼底图像及眼底图像特征数据存放至本地存储设备中。对所述眼底图像及眼底图像特征数据进行存储的目的,是便于同一个糖网患者每次定期过来检查或筛查时,可将当前采集到的数据与之前采集的数据做比对,更好地进行数据分析。After the fundus image data analysis center or the above-mentioned fundus image data analysis workstation software acquires the fundus image of the sugar net patient, step S102 is performed: extracting and identifying the fundus image feature data, and storing the fundus image feature data. The following methods can be adopted: through automatic or semi-automatic human-computer interactive methods, the DR microhemangioma, bleeding spot, and rigid exudative fundus image feature data are extracted and stored, wherein the fundus image and fundus image feature data can be stored to The cloud server can also store the fundus image and the fundus image feature data to a specific server, and can also store the fundus image and the fundus image feature data to a local storage device. The purpose of storing the fundus image and the fundus image feature data is to facilitate the same sugar net patient to come over for inspection or screening every time, and compare the currently collected data with the previously collected data, which is better Data analysis.
对所述眼底图像特征数据进行存储后,执行步骤S103:判断是否存储有该糖网患者前期的眼底图像特征数据,若存储有所述糖网患者前期的眼底图像特征数据,则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次眼底筛查特征数据的变化情况。可采用如下方式:根据患者的姓名和身份证到数据库中查询,是否存储有该糖网患者前期的眼底图像及眼底图像特征数据,若存储有该糖网患者前期的眼底图像及眼底图像特征数据,则分析比对糖网患者不同时期的眼底图像及眼底图像特征数据,获取眼底筛查特征数据变化情况。具体如下:After storing the fundus image feature data, step S103 is performed: it is judged whether the sugar net patient's previous fundus image feature data is stored, and if the sugar net patient's early fundus image feature data is stored, the analysis and comparison The fundus image feature data of the sugar net patient in different periods is obtained, and the changes of the fundus screening feature data of the sugar net patient at this time are acquired. The following methods can be used: according to the patient's name and ID card to query the database, whether the early stage fundus image and fundus image feature data of the sugar mesh patient are stored, if the early stage fundus image and fundus image feature data of the sugar mesh patient are stored , Then analyze and compare the fundus image and fundus image feature data in different periods of the sugar net patients to obtain the changes of fundus screening feature data. details as follows:
建立亮度直方图均衡对眼底图像进行预处理;建立形态滤波器确定预处理后的眼底图像中黄斑及视盘的位置;分割预处理后的眼底图像的主血管;眼底图像特征数据根据眼底结构参数对齐眼底图像,修正所述眼底图像特征数据的标识,所述眼底结构参数包括:黄斑的位置、视盘的位置和主血管信息;自动分析所述眼底图像特征数据变化。Establish brightness histogram equalization to preprocess the fundus image; establish a morphological filter to determine the position of the macula and optic disc in the preprocessed fundus image; segment the main vessels of the preprocessed fundus image; fundus image feature data are aligned according to the fundus structure parameters The fundus image corrects the identification of the feature data of the fundus image. The fundus structure parameters include: the position of the macula, the position of the optic disc, and the information of the main blood vessel; and automatically analyze the changes of the feature data of the fundus image.
其中所述“标识所述眼底图像特征数据”,还包括步骤:标识微血管瘤及其与黄斑中心凹相对位置;标识出血点的大小及其与黄斑中心凹的相对位置;标识并分析硬性渗出的范围及其与黄斑中心凹的最小距离。The "identifying the fundus image feature data" further includes the steps of: identifying microhemangioma and its relative position to the macular fovea; identifying the size of the bleeding spot and its relative position to the macular fovea; identifying and analyzing hard exudation The range and the minimum distance from the fovea.
具体可采用如下方式:在待分析的图像中选择图像清晰、能清楚观察到视盘、黄斑和血管的眼底图像作为标准参考图像,对所述标准图像进行处理生成标准灰度直方图;根据所述标准灰度直方图的灰度分布,对其余待分析的眼底图像的灰度进行映射,获得与标准参考图像具有同样灰度分布的眼底图像。Specifically, the following method may be adopted: a fundus image with a clear image and a clear observation of the optic disc, macular, and blood vessels in the image to be analyzed is used as a standard reference image, and the standard image is processed to generate a standard grayscale histogram; The grayscale distribution of the standard grayscale histogram maps the grayscale of the rest of the fundus image to be analyzed to obtain a fundus image with the same grayscale distribution as the standard reference image.
根据预处理后的眼底图像中黄斑亮度及视盘亮度、黄斑形态与视盘形态、和黄斑与视盘的位置距离,建立形态滤波器,确定黄斑及视盘的位置。即:预处理后的眼底图像,黄斑具有极低亮度、视盘具有极高亮度、两者形状趋于圆形且两者的相对距离和位置固定,以此实现形态滤波器,检测眼底图像中的具有极低亮度和极高亮度的圆形区域,将其作为黄斑和视盘的候选区域,根据两者的距离和位置滤除错误的候选区域,进而确定黄斑和视盘的中心位置。Based on the pre-processed fundus image macular brightness and optic disc brightness, macular morphology and optic disc morphology, and the positional distance between the macula and optic disc, a morphological filter is established to determine the position of the macula and optic disc. That is: after preprocessing, the macula has extremely low brightness, the optic disc has extremely high brightness, the shape of the two tends to be round, and the relative distance and position of the two are fixed. In this way, the morphological filter is implemented to detect the The circular area with extremely low brightness and extremely high brightness is used as a candidate area for the macula and the optic disc, and the wrong candidate area is filtered according to the distance and position of the two, and then the central positions of the macula and the optic disc are determined.
预处理后的眼底图像,眼底主血管有相近的灰度信息,且与背景有较高的对比度,通过以上特征可分割出主血管。在本实施方式中,可通过使用阈值分割方法分割出主血管。分割出主血管后,根据黄斑 的位置、视盘的位置和主血管信息,对其眼底图像,标识出眼底图像的变化区域。通过变化区域,可快速看出微血管瘤、出血点或硬性渗出的数量是否增加,硬性渗出的范围是否扩大或进一步逼近黄斑等状况。The preprocessed fundus image, the main vessels of the fundus have similar grayscale information, and have a high contrast with the background, the main vessels can be segmented by the above features. In this embodiment, the main blood vessel can be segmented by using a threshold segmentation method. After segmenting the main blood vessel, according to the position of the macula, the position of the optic disc, and the information of the main blood vessel, identify the change area of the fundus image for the fundus image. By changing the area, you can quickly see whether the number of microhemangiomas, bleeding points, or rigid exudation has increased, and whether the range of rigid exudation has expanded or further approached the macular condition.
在其它实施方式中,亦可用打矩形的方式分别标识眼底图像中的有关眼底图像特征数据:微血管瘤区域、出血点区域、硬性渗出区域(同时在数据库中记录下这些特征区域大小以及与黄斑中心凹的相对位置),不同颜色可代表不同的DR特征及区域,如白色代表硬性渗出,粉色代表微血管瘤,绿色代表出血点;然后根据眼底参数对齐眼底图像,所述眼底参数包括:黄斑的位置、视盘的位置和主血管信息;标识眼底图像变化区域。In other embodiments, the characteristic data of the fundus image in the fundus image can also be identified by rectangles: microhemangioma area, bleeding area, and hard exudation area (at the same time, the size of these characteristic areas and the macular area are recorded in the database The relative position of the fovea), different colors can represent different DR features and regions, such as white for hard exudation, pink for microhemangioma, and green for bleeding points; then align the fundus image according to fundus parameters, which include: macular The position of the optic disc, the position of the optic disc and the information of the main blood vessel; identify the area of the fundus image change.
步骤S104:对所述眼底筛查特征数据变化情况进行分析处理。可采用如下方式:分析计算得到所述糖网患者预设时间段内的控糖效果以及身体健康状况;并根据分析结果给出对应的健康服务建议;生成所述控糖效果、身体健康状况以及所述健康服务建议的报告,并发送所述报告相关信息至所述糖网患者的移动终端设备。Step S104: Analyze and process the changes in the fundus screening feature data. The following methods may be used: analysis and calculation of the sugar control effect and physical health status of the sugar net patient within a preset time period; and giving corresponding health service suggestions according to the analysis results; generating the sugar control effect, physical health status and The report of the health service recommendation, and send the report-related information to the mobile terminal device of the sugar net patient.
具体可如下:数据处理分析后,可将得到的数据直接发送给糖网患者本人,让糖网患者本人对自己的健康状况更了解,也可以在糖网患者同意的情况下发送给专业的医疗机构,辅助医务人员快速对糖网患者的病情有一个了解,为糖网患者提供后续的疾病控制的建议等。在本实施方式中,数据处理分析的结果包括:微血管瘤的数量或大小是否增加,硬性渗出的面积是否扩大,是否涉及到黄斑区域;如有条件,可以参考基层应用机构伴随眼底图像发来的相关问诊资料等身体指标数据,如体重、腰围有无明显增加或减少,饮食、运动、不吸烟少喝酒等对生活方式基础治疗情况进行辅助评判;如存在微血管瘤数量增加,硬性渗出的范围扩大的现象,说明这段时间血糖控制水平较差,视网膜病变的病情仍在继续发展,需要进一步控制,保证好的生活方式;如出现微血管瘤或出血点数量明显增加,硬性渗出面积扩大并影响到黄斑区域,建议做进一步复诊、治疗;如微血管瘤和硬性渗出无明显变化,说明控制水平良好,应继续保持好的生活方式,遵医嘱继续治疗;特别是,当血管瘤数量减少或某些血管瘤消失时,意味着该区域微血管供血供血严重不足或消失;硬性渗出的范围扩大或逼近黄斑区域时,意味着黄斑水肿症状的严重或即将有失明的危险,应特别引起重视或建议做进一步的复查或到医院检查;可以利用增强现实(AR)技术,将这些眼底特征变化情况及其继续发展有可能影响视力或全身性健康的情况,做成简单的演示动画,叠加在真实的眼底照片上,实现可视化的教育效果,激发患者生活方式干预基础治疗的及时 筛查、及时预防治疗的依从性或自觉性。The details can be as follows: After data processing and analysis, the obtained data can be sent directly to the sugar net patient, so that the sugar net patient can better understand their own health status, and can also be sent to professional medical staff with the consent of the sugar net patient. Institutions, assist medical personnel to quickly have an understanding of the conditions of sugar net patients, and provide follow-up disease control recommendations for sugar net patients. In this embodiment, the results of data processing and analysis include: whether the number or size of microhemangioma increases, whether the area of rigid exudation expands, and whether the macular area is involved; if there are conditions, you can refer to the basic application organization to accompany the fundus image. Related physical examination data such as relevant medical consultation data, such as whether there is a significant increase or decrease in weight and waist circumference, diet, exercise, non-smoking and drinking less, etc., to assist in the assessment of basic lifestyle treatment; if there is an increase in the number of microhemangioma, rigid exudation The phenomenon of the expansion of the range indicates that the blood glucose control level is poor during this period, and the condition of retinopathy continues to develop, and further control is needed to ensure a good lifestyle; if there is a significant increase in the number of microhemangioma or bleeding spots, the area of hard exudation Expanding and affecting the macular area, it is recommended to conduct further follow-up visits and treatment; if there is no obvious change in microhemangioma and rigid exudation, it means that the level of control is good, and you should continue to maintain a good lifestyle and continue treatment as directed by your doctor; in particular, when the number of hemangioma Decrease or disappearance of some hemangioma means that the microvascular blood supply in this area is seriously insufficient or disappears; when the scope of rigid exudation expands or approaches the macular area, it means that the symptoms of macular edema are serious or about to be blind, which should be particularly caused Pay attention to or recommend further review or go to the hospital for inspection; augmented reality (AR) technology can be used to make these simple changes of the fundus characteristics and their continued development that may affect vision or general health. Realize the visual education effect on the real fundus picture, inspire the timely screening of the patients' lifestyle intervention basic treatment, and the compliance or consciousness of the timely preventive treatment.
通过获取糖网患者的不同时期的眼底图像,对所述眼底图像及其结构化处理后的眼底图像特征数据进行存储;通过自动分析比对不同时期的眼底特征图像,获取糖网患者眼底图像特征变化情况;对所述糖网患者眼底图像特征变化情况进行分析处理。以上整个过程中,糖网患者可到任意设置有眼底图像获取设备的地方采集自己的眼底图像,然后将对应的眼底图像上传至眼底图像处理终端,眼底图像处理终端会对所述眼底图像进行存储,并自动地分析比对糖网患者不同时期的眼底图像,获取眼底图像特征变化,对所述糖网患者眼底图像特征变化情况进行分析处理。处理过程效率高,成本低,糖网患者体验佳,且分析处理后的数据可发送给糖网患者本人,让糖网患者对自己的眼底健康有所了解,或者专业的医务人员,让医务人员根据分析结果给糖网患者更好的治疗建议等。Obtain the fundus images of the patients in the sugar mesh at different periods, and store the fundus image and its structured processed fundus image feature data; by automatically analyzing and comparing the fundus feature images in different periods to obtain the features of the sugar mesh patient's fundus image Changes; analyze and process the changes in the characteristics of the fundus image of the patients with the sugar mesh. Throughout the above process, sugar-net patients can collect their own fundus images at any place where the fundus image acquisition device is installed, and then upload the corresponding fundus images to the fundus image processing terminal, which will store the fundus images , And automatically analyze and compare the fundus images of the patients with the sugar mesh in different periods to obtain the changes in the features of the fundus image, and analyze and process the changes in the features of the fundus images of the sugar mesh patient. The processing process has high efficiency, low cost, and a good experience for sugar net patients, and the data after analysis and processing can be sent to the sugar net patients themselves, so that the sugar net patients can understand their own fundus health, or professional medical staff can let medical staff According to the analysis results, give the sugar net patients better treatment suggestions, etc.
在本实施方式中,还包括步骤:生成分析报告,并发送分析报告相关信息至糖网患者的移动终端设备,所述分析报告相关信息包括:分析报告、分析报告下载链接和建议报告中的一种或多种。通过生成分析报告,并发送给糖网患者,使糖网患者第一时间知道结果,方便糖网患者根据评估结果调整自己的生活习惯或根据分析报告给的建议进一步治疗或观察等等,将有效地帮助糖网患者实时且良好地控制自己的糖尿病病情。In this embodiment, the method further includes the steps of generating an analysis report and sending information related to the analysis report to the mobile terminal device of the sugar net patient. The analysis report related information includes: one of the analysis report, the analysis report download link, and the recommendation report One or more. By generating an analysis report and sending it to the sugar net patient, the sugar net patient will know the result in the first time, so that the sugar net patient can adjust their living habits according to the evaluation result or further treatment or observation according to the recommendations given in the analysis report, etc., will be effective To help sugar net patients to control their diabetes in real time and well.
请参阅图2,在本实施方式中,一种存储设备200的具体实施方式如下:Please refer to FIG. 2, in this embodiment, a specific implementation of a storage device 200 is as follows:
一种存储设备200,其中存储有指令集,所述指令集用于执行:获取糖网患者的眼底图像;提取并标识所述眼底图像特征数据;对所述眼底图像特征数据进行存储;判断是否存储有该糖网患者前期的眼底图像特征数据,若存储有所述糖网患者前期的眼底图像特征数据,则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次眼底筛查特征数据的变化情况;对所述眼底筛查特征数据变化情况进行分析处理。可采用如下方式:A storage device 200, in which an instruction set is stored, the instruction set is used to perform: acquiring a fundus image of a sugar net patient; extracting and identifying feature data of the fundus image; storing the feature data of the fundus image; judging whether or not Store the fundus image feature data of the early stage of the sugar net patient, and if store the fundus image feature data of the early stage of the sugar net patient, analyze and compare the fundus image feature data of the sugar net patient at different periods to obtain the sugar net The changes of the fundus screening characteristic data of the patient at this time; analyzing and processing the changes of the fundus screening characteristic data. The following methods can be used:
通过基层应用机构(如:基层医疗机构、健康体检、健康管理或基层社区诊所)的眼底相机获取糖网患者的眼底图像,并将获取到的眼底图像通过数据线传送至PC上由眼底图像数据分析工作站软件进行处理,或通过网络发送至PC上,由PC发送至眼底图像数据分析中心;糖网患者亦可通过移动终端设备上传眼底图像。需要说明的是,在本实施方式中,基层应用机构可以是那些偏远地区,没有专业眼科医生人员,或者是配备专业眼科医生人员成本非常高的地方。Obtain the fundus image of the sugar net patient through the fundus camera of the basic application institution (such as: primary medical institution, health checkup, health management or basic community clinic), and transfer the obtained fundus image to the PC through the data line to the fundus image data The analysis workstation software is used for processing, or sent to the PC through the network, and the PC sends it to the fundus image data analysis center; sugar net patients can also upload the fundus image through the mobile terminal device. It should be noted that, in this embodiment, the grassroots application institutions may be those remote areas where there is no professional ophthalmologist staff, or where the cost of staffing professional ophthalmologists is very high.
眼底图像数据分析中心或上述眼底图像数据分析工作站软件获取完糖网患者的眼底图像后,提取并 标识所述眼底图像特征数据,对所述眼底图像特征数据进行存储。可采用如下方式:通过自动或半自动的人机交互式方法,提取DR微血管瘤、出血点、硬性渗出的眼底图像特征数据并进行存储,其中可将所述眼底图像及眼底图像特征数据存放至云端服务器,亦可以将所述眼底图像及眼底图像特征数据存放至特定服务器,亦可以将所述眼底图像及眼底图像特征数据存放至本地存储设备中。对所述眼底图像及眼底图像特征数据进行存储的目的,是便于同一个糖网患者每次定期过来检查或筛查时,可将当前采集到的数据与之前采集的数据做比对,更好地进行数据分析。After the fundus image data analysis center or the above-mentioned fundus image data analysis workstation software acquires the fundus image of the sugar net patient, the fundus image feature data is extracted and identified, and the fundus image feature data is stored. The following methods can be adopted: through automatic or semi-automatic human-computer interactive methods, the DR microhemangioma, bleeding spot, and rigid exudative fundus image feature data are extracted and stored, wherein the fundus image and fundus image feature data can be stored to The cloud server can also store the fundus image and the fundus image feature data to a specific server, and can also store the fundus image and the fundus image feature data to a local storage device. The purpose of storing the fundus image and the fundus image feature data is to facilitate the same sugar net patient to come over for inspection or screening every time, and compare the currently collected data with the previously collected data, which is better Data analysis.
对所述眼底图像特征数据进行存储后,判断是否存储有该糖网患者前期的眼底图像特征数据,若存储有所述糖网患者前期的眼底图像特征数据,则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次眼底筛查特征数据的变化情况。可采用如下方式:根据患者的姓名和身份证到数据库中查询,是否存储有该糖网患者前期的眼底图像及其眼底图像特征数据,若存储有该糖网患者前期的眼底图像及其眼底图像特征数据,则分析比对糖网患者不同时期的眼底图像及其眼底图像特征数据,获取眼底筛查特征数据变化情况。具体如下:After storing the fundus image feature data, determine whether the early stage fundus image feature data of the sugar mesh patient is stored, and if the feature fundus image feature data of the early stage of the sugar mesh patient are stored, analyze and compare the sugar mesh patient The fundus image feature data in different periods, to obtain the changes of the fundus screening feature data of the sugar net patient at this time. The following methods can be used: according to the patient's name and ID card to query the database, whether the early stage fundus image and the fundus image feature data of the sugar net patient are stored, if the early stage fundus image and the fundus image of the sugar net patient are stored For feature data, analyze and compare the fundus image and the fundus image feature data of the patients in different periods of the sugar net to obtain the changes of fundus screening feature data. details as follows:
建立亮度直方图均衡对眼底图像进行预处理;建立形态滤波器确定预处理后的眼底图像中黄斑及视盘的位置;分割预处理后的眼底图像的主血管;眼底图像特征数据根据眼底结构参数对齐眼底图像,修正所述眼底图像特征数据的标识,所述眼底结构参数包括:黄斑的位置、视盘的位置和主血管信息;自动分析所述眼底图像特征数据变化。Establish brightness histogram equalization to preprocess the fundus image; establish a morphological filter to determine the position of the macula and optic disc in the preprocessed fundus image; segment the main vessels of the preprocessed fundus image; fundus image feature data are aligned according to the fundus structure parameters The fundus image corrects the identification of the feature data of the fundus image. The fundus structure parameters include: the position of the macula, the position of the optic disc, and the information of the main blood vessel; and automatically analyze the changes of the feature data of the fundus image.
其中所述“标识所述眼底图像特征数据”,还包括步骤:标识微血管瘤及其与黄斑中心凹相对位置;标识出血点的大小及其与黄斑中心凹的相对位置;标识并分析硬性渗出的范围及其与黄斑中心凹的最小距离。The "identifying the fundus image feature data" further includes the steps of: identifying microhemangioma and its relative position to the macular fovea; identifying the size of the bleeding spot and its relative position to the macular fovea; identifying and analyzing hard exudation The range and the minimum distance from the fovea.
具体可采用如下方式:在待分析的图像中选择图像清晰、能清楚观察到视盘、黄斑和血管的眼底图像作为标准参考图像,对所述标准图像进行处理生成标准灰度直方图;根据所述标准灰度直方图的灰度分布,对其余待分析的眼底图像的灰度进行映射,获得与标准参考图像具有同样灰度分布的眼底图像。Specifically, the following method may be adopted: a fundus image with a clear image and a clear observation of the optic disc, macular, and blood vessels in the image to be analyzed is used as a standard reference image, and the standard image is processed to generate a standard grayscale histogram; The grayscale distribution of the standard grayscale histogram maps the grayscale of the rest of the fundus image to be analyzed to obtain a fundus image with the same grayscale distribution as the standard reference image.
根据预处理后的眼底图像中黄斑亮度及视盘亮度、黄斑形态与视盘形态、和黄斑与视盘的位置距离,建立形态滤波器,确定黄斑及视盘的位置。即:预处理后的眼底图像,黄斑具有极低亮度、视盘具有极高亮度、两者形状趋于圆形且两者的相对距离和位置固定,以此实现形态滤波器,检测眼底图像中的具有极低亮度和极高亮度的圆形区域,将其作为黄斑和视盘的候选区域,根据两者的距离和位置滤除错误 的候选区域,进而确定黄斑和视盘的中心位置。Based on the pre-processed fundus image macular brightness and optic disc brightness, macular morphology and optic disc morphology, and the positional distance between the macula and optic disc, a morphological filter is established to determine the position of the macula and optic disc. That is: after preprocessing, the macula has extremely low brightness, the optic disc has extremely high brightness, the shape of the two tends to be round, and the relative distance and position of the two are fixed. In this way, the morphological filter is implemented to detect the The circular area with extremely low brightness and extremely high brightness is used as a candidate area for the macula and the optic disc, and the wrong candidate area is filtered according to the distance and position of the two, and then the central positions of the macula and the optic disc are determined.
预处理后的眼底图像,眼底主血管有相近的灰度信息,且与背景有较高的对比度,通过以上特征可分割出主血管。在本实施方式中,可通过使用阈值分割方法分割出主血管。分割出主血管后,根据黄斑的位置、视盘的位置和主血管信息,对其眼底图像,标识出眼底图像的变化区域。通过变化区域,可快速看出微血管瘤、出血点或硬性渗出的数量是否增加,硬性渗出的范围是否扩大或进一步逼近黄斑等状况。The preprocessed fundus image, the main vessels of the fundus have similar grayscale information, and have a high contrast with the background, the main vessels can be segmented by the above features. In this embodiment, the main blood vessel can be segmented by using a threshold segmentation method. After the main blood vessel is segmented, according to the position of the macula, the position of the optic disc, and the information of the main blood vessel, the change area of the fundus image is identified for the fundus image. By changing the area, you can quickly see whether the number of microhemangiomas, bleeding points, or rigid exudation has increased, and whether the range of rigid exudation has expanded or further approached the macular condition.
在其它实施方式中,亦可用打矩形的方式分别标识眼底图像中的有关眼底图像特征数据:微血管瘤区域、出血点区域、硬性渗出区域(同时在数据库中记录下这些特征区域大小以及与黄斑中心凹的相对位置),不同颜色可代表不同的DR特征及区域,如白色代表硬性渗出,粉色代表微血管瘤,绿色代表出血点;然后根据眼底参数对齐眼底图像,所述眼底参数包括:黄斑的位置、视盘的位置和主血管信息;标识眼底图像变化区域。In other embodiments, the characteristic data of the fundus image in the fundus image can also be identified by rectangles: microhemangioma area, bleeding area, and hard exudation area (at the same time, the size of these characteristic areas and the macular area are recorded in the database The relative position of the fovea), different colors can represent different DR features and regions, such as white for hard exudation, pink for microhemangioma, and green for bleeding points; then align the fundus image according to fundus parameters, which include: macular The position of the optic disc, the position of the optic disc and the information of the main blood vessel; identify the area of the fundus image change.
对所述眼底筛查特征数据变化情况进行分析处理。可采用如下方式:分析计算得到所述糖网患者预设时间段内的控糖效果以及身体健康状况;并根据分析结果给出对应的健康服务建议;生成所述控糖效果、身体健康状况以及所述健康服务建议的报告,并发送所述报告相关信息至所述糖网患者的移动终端设备。Analyze and process the changes in the fundus screening characteristic data. The following methods may be used: analysis and calculation of the sugar control effect and physical health status of the sugar net patient within a preset time period; and giving corresponding health service suggestions according to the analysis results; generating the sugar control effect, physical health status and The report of the health service recommendation, and send the report-related information to the mobile terminal device of the sugar net patient.
具体可如下:数据处理分析后,可将得到的数据直接发送给糖网患者本人,让糖网患者本人对自己的健康状况更了解,也可以在糖网患者同意的情况下发送给专业的医疗机构,辅助医务人员快速对糖网患者的病情有一个了解,为糖网患者提供后续的疾病控制的建议等。在本实施方式中,数据处理分析的结果包括:微血管瘤的数量或大小是否增加,硬性渗出的面积是否扩大,是否涉及到黄斑区域;如有条件,可以参考基层应用机构伴随眼底图像发来的相关问诊资料等身体指标数据,如体重、腰围有无明显增加或减少,饮食、运动、不吸烟少喝酒等对生活方式基础治疗情况进行辅助评判;如存在微血管瘤数量增加,硬性渗出的范围扩大的现象,说明这段时间血糖控制水平较差,视网膜病变的病情仍在继续发展,需要进一步控制,保证好的生活方式;如出现微血管瘤或出血点数量明显增加,硬性渗出面积扩大并影响到黄斑区域,建议做进一步复诊、治疗;如微血管瘤和硬性渗出无明显变化,说明控制水平良好,应继续保持好的生活方式,遵医嘱继续治疗;特别是,当血管瘤数量减少或某些血管瘤消失时,意味着该区域微血管供血供血严重不足或消失;硬性渗出的范围扩大或逼近黄斑区域时,意味着黄斑水肿症状 的严重或即将有失明的危险,应特别引起重视或建议做进一步的复查或到医院检查;可以利用增强现实(AR)技术,将这些眼底特征变化情况及其继续发展有可能影响视力或全身性健康的情况,做成简单的演示动画,叠加在真实的眼底照片上,实现可视化的教育效果,激发患者生活方式干预基础治疗的及时筛查、及时预防治疗的依从性或自觉性。The details can be as follows: After data processing and analysis, the obtained data can be sent directly to the sugar net patient, so that the sugar net patient can better understand their own health status, and can also be sent to professional medical staff with the consent of the sugar net patient. Institutions, assist medical personnel to quickly have an understanding of the conditions of sugar net patients, and provide follow-up disease control recommendations for sugar net patients. In this embodiment, the results of data processing and analysis include: whether the number or size of microhemangioma increases, whether the area of rigid exudation expands, and whether the macular area is involved; if there are conditions, you can refer to the basic application organization to accompany the fundus image. Related physical examination data such as relevant medical consultation data, such as whether there is a significant increase or decrease in weight and waist circumference, diet, exercise, non-smoking and drinking less, etc., to assist in the assessment of basic lifestyle treatment; if there is an increase in the number of microhemangioma, rigid exudation The phenomenon of the expansion of the range indicates that the blood glucose control level is poor during this period, and the condition of retinopathy continues to develop, and further control is needed to ensure a good lifestyle; if there is a significant increase in the number of microhemangioma or bleeding spots, the area of hard exudation Expanding and affecting the macular area, it is recommended to conduct further follow-up visits and treatment; if there is no obvious change in microhemangioma and rigid exudation, it means that the level of control is good, and you should continue to maintain a good lifestyle and continue treatment as directed by your doctor; in particular, when the number of hemangioma Decrease or disappearance of some hemangioma means that the microvascular blood supply in this area is seriously insufficient or disappears; when the scope of rigid exudation expands or approaches the macular area, it means that the symptoms of macular edema are serious or about to be blind, which should be particularly caused Pay attention to or recommend further review or go to the hospital for inspection; augmented reality (AR) technology can be used to make these simple changes of the fundus characteristics and their continued development that may affect vision or general health. Realize the visual education effect on the real fundus picture, inspire the timely screening of the patients' lifestyle intervention basic treatment, and the compliance or consciousness of the timely preventive treatment.
通过存储设备200上的指令集执行步骤:通过获取糖网患者的不同时期的眼底图像,对所述眼底图像及其结构化处理后的眼底图像特征数据进行存储;通过自动分析比对不同时期的眼底特征图像,获取糖网患者眼底图像特征变化情况;对所述糖网患者眼底图像特征变化情况进行分析处理。以上整个过程中,糖网患者可到任意设置有眼底图像获取设备的地方采集自己的眼底图像,然后将对应的眼底图像上传至眼底图像处理终端,眼底图像处理终端会对所述眼底图像进行存储,并自动地分析比对糖网患者不同时期的眼底图像,获取眼底图像特征变化,对所述糖网患者眼底图像特征变化情况进行分析处理。处理过程效率高,成本低,糖网患者体验佳,且分析处理后的数据可发送给糖网患者本人,让糖网患者对自己的眼底健康有所了解,或者专业的医务人员,让医务人员根据分析结果给糖网患者更好的治疗建议等。Steps are executed through the instruction set on the storage device 200: by acquiring fundus images of the patients with the sugar net at different periods, storing the fundus images and their structured processed fundus image feature data; by automatically analyzing and comparing the different periods The fundus feature image is used to obtain the changes of the fundus image feature of the sugar net patient; the feature change of the fundus image feature of the sugar net patient is analyzed and processed. Throughout the above process, sugar-net patients can collect their own fundus images at any place where the fundus image acquisition device is installed, and then upload the corresponding fundus images to the fundus image processing terminal, which will store the fundus images , And automatically analyze and compare the fundus images of the patients with the sugar mesh in different periods to obtain the changes in the features of the fundus image, and analyze and process the changes in the features of the fundus images of the sugar mesh patient. The processing process has high efficiency, low cost, and a good experience for sugar net patients, and the data after analysis and processing can be sent to the sugar net patients themselves, so that the sugar net patients can understand their own fundus health, or professional medical staff can let medical staff According to the analysis results, give the sugar net patients better treatment suggestions, etc.
在本实施方式中,还包括步骤:生成分析报告,并发送分析报告相关信息至糖网患者的移动终端设备,所述分析报告相关信息包括:分析报告、分析报告下载链接和建议报告中的一种或多种。通过生成分析报告,并发送给糖网患者,使糖网患者第一时间知道结果,方便糖网患者根据评估结果调整自己的生活习惯或根据分析报告给的建议进一步治疗或观察等等,将有效地帮助糖网患者实时且良好地控制自己的糖尿病病情。In this embodiment, the method further includes the steps of generating an analysis report and sending information related to the analysis report to the mobile terminal device of the sugar net patient. The analysis report related information includes: one of the analysis report, the analysis report download link, and the recommendation report One or more. By generating an analysis report and sending it to the sugar net patient, the sugar net patient will know the result in the first time, so that the sugar net patient can adjust their living habits according to the evaluation result or further treatment or observation according to the recommendations given in the analysis report, etc., will be effective To help sugar net patients to control their diabetes in real time and well.
请参阅图3,在本实施方式中,一种糖网眼底特征数据变化的分析***300的具体实施方式如下:Please refer to FIG. 3, in this embodiment, a specific implementation of an analysis system 300 for the change of the characteristic data of the fundus fundus is as follows:
一种糖网眼底特征数据变化的分析***300,包括:眼底图像获取终端301和眼底图像处理终端302,所述眼底图像处理终端302包括:数据存储模块3021、眼底图像分析比对模块3022和结果分析模块3023;所述眼底图像获取终端301连接所述眼底图像处理终端302;所述眼底图像获取终端301用于:获取糖网患者的眼底图像并发送所述眼底图像至眼底图像处理终端302;所述眼底图像处理终端302用于:提取并标识所述眼底图像特征数据;所述数据存储模块3021用于:对所述眼底图像特征数据进行存储;所述眼底图像分析比对模块3022用于:判断是否存储有该糖网患者前期的眼底图像特征数据,若存储有所述糖网患者前期的眼底图像特征数据,则分析比对所述糖网患者不同时期的眼底图像特征数 据,获取所述糖网患者该次筛查眼底图像特征数据的变化情况;所述结果分析模块3023用于:对所述眼底筛查特征数据变化情况进行分析处理。A sugar net fundus characteristic data change analysis system 300 includes: a fundus image acquisition terminal 301 and a fundus image processing terminal 302, the fundus image processing terminal 302 includes: a data storage module 3021, a fundus image analysis and comparison module 3022, and a result Analysis module 3023; the fundus image acquisition terminal 301 is connected to the fundus image processing terminal 302; the fundus image acquisition terminal 301 is used to: acquire a fundus image of a sugar net patient and send the fundus image to the fundus image processing terminal 302; The fundus image processing terminal 302 is used to: extract and identify the fundus image feature data; the data storage module 3021 is used to: store the fundus image feature data; the fundus image analysis comparison module 3022 is used to : Determine whether the fundus image feature data of the early stage of the sugar net patient is stored. If the fundus image feature data of the early stage of the sugar net patient is stored, analyze and compare the fundus image feature data of the sugar net patient at different periods to obtain The changes of the characteristic data of the fundus image of the sugar net patient during the screening; the result analysis module 3023 is used for analyzing and processing the changes of the characteristic data of the fundus screening.
在本实施方式中,眼底图像获取终端301包括:眼底图像采集终端和PC,所述眼底图像采集终端优选为眼底相机,眼底图像处理终端302包括但不限于:个人计算机、服务器、通用计算机、专用计算机、网络设备、智能移动终端、智能家居设备等。In this embodiment, the fundus image acquisition terminal 301 includes: a fundus image acquisition terminal and a PC, the fundus image acquisition terminal is preferably a fundus camera, and the fundus image processing terminal 302 includes but is not limited to: a personal computer, a server, a general-purpose computer, a dedicated Computers, network equipment, smart mobile terminals, smart home equipment, etc.
以上具体可采用如下方式:The above can be used as follows:
可通过眼底相机获取糖网患者的眼底图像,并将获取到的眼底图像通过数据线传送至PC上由眼底图像数据分析工作站软件进行处理,或通过网络发送至PC上,由PC发送至眼底图像数据分析中心;糖网患者亦可通过移动终端设备上传眼底图像。需要说明的是,在本实施方式中,基层应用机构可以是那些偏远地区,没有专业眼科医生人员,或者是配备专业眼科医生人员成本非常高的地方。The fundus image of the sugar net patient can be obtained by the fundus camera, and the obtained fundus image can be transmitted to the PC through the data line for processing by the fundus image data analysis workstation software, or sent to the PC through the network, and the PC can send the fundus image Data analysis center; sugar net patients can also upload fundus images through mobile terminal devices. It should be noted that, in this embodiment, the grassroots application institutions may be those remote areas where there is no professional ophthalmologist staff, or where the cost of staffing professional ophthalmologists is very high.
根据患者的姓名和身份证到数据存储模块3021中查询是否存储有该糖网患者前期的眼底图像及其眼底图像特征数据,若存储有该糖网患者前期的眼底图像及其眼底图像特征数据,眼底图像分析比对模块3022则分析比对糖网患者不同时期的眼底图像特征数据,获取糖网患者眼底图像特征变化情况。According to the patient's name and ID card, the data storage module 3021 inquires whether the early stage fundus image and the fundus image feature data of the sugar net patient are stored. If the early stage fundus image and the fundus image feature data of the sugar net patient are stored, The fundus image analysis and comparison module 3022 analyzes and compares the fundus image feature data in different periods of the sugar net patient to obtain the changes in the fundus image feature of the sugar net patient.
在本实施方式中,所述眼底图像分析比对模块3022还用于:建立亮度直方图均衡对眼底图像进行预处理;建立形态滤波器确定预处理后的眼底图像中黄斑及视盘的位置;分割预处理后的眼底图像的主血管;根据眼底结构参数对齐眼底图像,修正所述眼底图像特征数据的标识,所述眼底结构参数包括:黄斑的位置、视盘的位置和主血管信息;自动分析所述眼底图像特征数据变化。可采用如下方式:In this embodiment, the fundus image analysis and comparison module 3022 is also used to: establish a brightness histogram equalization to preprocess the fundus image; establish a morphological filter to determine the position of the macula and optic disc in the preprocessed fundus image; segmentation The main vessels of the pre-treated fundus image; align the fundus image according to the fundus structure parameters and correct the identification of the feature data of the fundus image. The fundus structure parameters include: the position of the macula, the position of the optic disc and the information of the main vessel; The characteristic data of the fundus image changes. The following methods can be used:
在待分析的图像中选择图像清晰、能清楚观察到视盘、黄斑和血管的眼底图像作为标准参考图像,对所述标准图像进行处理生成标准灰度直方图;根据所述标准灰度直方图的灰度分布,对其余待分析的眼底图像的灰度进行映射,获得与标准参考图像具有同样灰度分布的眼底图像。Select the fundus image with clear image, which can clearly observe the optic disc, macular and blood vessel as the standard reference image from the image to be analyzed, and process the standard image to generate a standard grayscale histogram; according to the standard grayscale histogram Grayscale distribution, mapping the grayscale of the rest of the fundus images to be analyzed to obtain a fundus image with the same grayscale distribution as the standard reference image.
根据预处理后的眼底图像中黄斑亮度及视盘亮度、黄斑形态与视盘形态、和黄斑与视盘的位置距离,建立形态滤波器,确定黄斑及视盘的位置。即:预处理后的眼底图像,黄斑具有极低亮度、视盘具有极高亮度、两者形状趋于圆形且两者的相对距离和位置固定,以此实现形态滤波器,检测眼底图像中的具有极低亮度和极高亮度的圆形区域,将其作为黄斑和视盘的候选区域,根据两者的距离和位置滤除错误的候选区域,进而确定黄斑和视盘的中心位置。Based on the pre-processed fundus image macular brightness and optic disc brightness, macular morphology and optic disc morphology, and the positional distance between the macula and optic disc, a morphological filter is established to determine the position of the macula and optic disc. That is: after preprocessing, the macula has extremely low brightness, the optic disc has extremely high brightness, the shape of the two tends to be round, and the relative distance and position of the two are fixed. In this way, the morphological filter is implemented to detect the The circular area with extremely low brightness and extremely high brightness is used as a candidate area for the macula and the optic disc, and the wrong candidate area is filtered according to the distance and position of the two, and then the central positions of the macula and the optic disc are determined.
预处理后的眼底图像,眼底主血管有相近的灰度信息,且与背景有较高的对比度,通过以上特征可 分割出主血管。在本实施方式中,可通过使用阈值分割方法分割出主血管。分割出主血管后,根据黄斑的位置、视盘的位置和主血管信息,对其眼底图像,标识出眼底图像的变化区域。通过变化区域,可快速看出微血管瘤、出血点或硬性渗出的数量是否增加,硬性渗出的范围是否扩大或进一步逼近黄斑等状况。In the preprocessed fundus image, the main blood vessels of the fundus have similar gray-scale information and a high contrast with the background. The main blood vessels can be segmented by the above features. In this embodiment, the main blood vessel can be segmented by using a threshold segmentation method. After the main blood vessel is segmented, according to the position of the macula, the position of the optic disc, and the information of the main blood vessel, the change area of the fundus image is identified for the fundus image. By changing the area, you can quickly see whether the number of microhemangiomas, bleeding points, or rigid exudation has increased, and whether the range of rigid exudation has expanded or further approached the macular condition.
在其它实施方式中,亦可用打矩形的方式分别标识眼底图像中的有关眼底图像特征数据:微血管瘤区域、出血点区域、硬性渗出区域(同时在数据库中记录下这些特征区域大小以及与黄斑中心凹的相对位置),不同颜色可代表不同的DR特征及区域,如白色代表硬性渗出,粉色代表微血管瘤,绿色代表出血点;然后根据眼底参数对齐眼底图像,所述眼底参数包括:黄斑的位置、视盘的位置和主血管信息;标识眼底图像变化区域。In other embodiments, the characteristic data of the fundus image in the fundus image can also be identified by rectangles: microhemangioma area, bleeding area, and hard exudation area (at the same time, the size of these characteristic areas and the macular area are recorded in the database The relative position of the fovea), different colors can represent different DR features and regions, such as white for hard exudation, pink for microhemangioma, and green for bleeding points; then align the fundus image according to fundus parameters, which include: macular The position of the optic disc, the position of the optic disc and the information of the main blood vessel; identify the area of the fundus image change.
在本身实施方式中,所述结果分析模块3023还用于:In its own embodiment, the result analysis module 3023 is also used to:
分析计算得到所述糖网患者预设时间段内的控糖效果以及身体健康状况;并根据分析结果给出对应的健康服务建议;生成所述控糖效果、身体健康状况以及所述健康服务建议的报告,并发送所述报告相关信息至所述糖网患者的移动终端设备。Analyze and calculate the sugar control effect and physical health status of the sugar net patient within a preset time period; and give corresponding health service recommendations according to the analysis results; generate the sugar control effect, physical health status and health service recommendations And send the report-related information to the mobile terminal device of the sugar net patient.
具体可如下:The details can be as follows:
数据处理分析后,可将得到的数据直接发送给糖网患者本人,让糖网患者本人对自己的健康状况更了解,也可以在糖网患者同意的情况下发送给专业的医疗机构,辅助医务人员快速对糖网患者的病情有一个了解,为糖网患者提供后续的疾病控制的建议等。在本实施方式中,数据处理分析的结果包括:微血管瘤的数量或大小是否增加,硬性渗出的面积是否扩大,是否涉及到黄斑区域;如有条件,可以参考基层应用机构伴随眼底图像发来的相关问诊资料等身体指标数据,如体重、腰围有无明显增加或减少,饮食、运动、不吸烟少喝酒等对生活方式基础治疗情况进行辅助评判;如存在微血管瘤数量增加,硬性渗出的范围扩大的现象,说明这段时间血糖控制水平较差,视网膜病变的病情仍在继续发展,需要进一步控制,保证好的生活方式;如出现微血管瘤或出血点数量明显增加,硬性渗出面积扩大并影响到黄斑区域,建议做进一步复诊、治疗;如微血管瘤和硬性渗出无明显变化,说明控制水平良好,应继续保持好的生活方式,遵医嘱继续治疗;特别是,当血管瘤数量减少或某些血管瘤消失时,意味着该区域微血管供血供血严重不足或消失;硬性渗出的范围扩大或逼近黄斑区域时,意味着黄斑水肿症状的严重或即将有失明的危险,应特别引起重视或建议做进一步的复查或到医院检查;可以利用增强现实(AR)技术, 将这些眼底特征变化情况及其继续发展有可能影响视力或全身性健康的情况,做成简单的演示动画,叠加在真实的眼底照片上,实现可视化的教育效果,激发患者生活方式干预基础治疗的及时筛查、及时预防治疗的依从性或自觉性。After data processing and analysis, the obtained data can be sent directly to the sugar net patient, so that the sugar net patient can better understand their own health status, and can also be sent to a professional medical institution with the consent of the sugar net patient to assist medical care. The staff quickly had an understanding of the conditions of the patients with sugar reticulum, and provided follow-up disease control recommendations for patients with sugar reticulum. In this embodiment, the results of data processing and analysis include: whether the number or size of microhemangioma increases, whether the area of rigid exudation expands, and whether the macular area is involved; if there are conditions, you can refer to the basic application organization to accompany the fundus image. Related physical examination data such as relevant medical consultation data, such as whether there is a significant increase or decrease in weight and waist circumference, diet, exercise, non-smoking and drinking less, etc., to assist in the evaluation of basic lifestyle treatment; if there are increased numbers of microhemangioma, rigid exudation The phenomenon of the expansion of the range indicates that the blood glucose control level is poor during this period, and the condition of retinopathy continues to develop, and further control is needed to ensure a good lifestyle; if there is a significant increase in the number of microhemangioma or bleeding spots, the area of hard exudation Expanding and affecting the macular area, it is recommended to conduct further follow-up visits and treatment; if there is no obvious change in microhemangioma and rigid exudation, it means that the level of control is good, and you should continue to maintain a good lifestyle and continue treatment as directed by your doctor; in particular, when the number of hemangioma Decrease or disappearance of some hemangioma means that the microvascular blood supply in this area is seriously insufficient or disappears; when the scope of rigid exudation expands or approaches the macular area, it means that the symptoms of macular edema are serious or about to be blind, which should be particularly caused Pay attention to or recommend further review or go to the hospital for examination; you can use augmented reality (AR) technology to make these simple changes in the fundus characteristics and their continued development that may affect vision or general health. Realize the visual education effect on the real fundus picture, inspire the timely screening of the patients' lifestyle intervention basic treatment, and the compliance or consciousness of the timely preventive treatment.
通过眼底图像获取终端301自动获取糖网患者的不同时期的眼底图像,数据存储模块3021对所述眼底图像进行存储;眼底图像分析比对模块3022通过自动分析比对不同时期的眼底图像,获取糖网患者眼底图像特征变化情况;结果分析模块3023对所述糖网患者眼底图像特征变化情况进行分析处理。以上整个过程中,糖网患者可到任意设置有眼底图像获取设备的地方采集自己的眼底图像,上传至眼底图像处理终端302,眼底图像处理终端302会对所述眼底图像进行存储,并自动地分析比对糖网患者不同时期的眼底图像,获取眼底图像特征变化,对所述糖网患者眼底图像特征变化情况进行分析处理。糖网患者可到任意设置有图像采集终端的场所,采集并上传自己此刻的眼底图像至眼底图像处理终端302,眼底图像处理终端302自动读取该糖网患者在此之前不同时期的眼底图像,并对其进行分析处理,数据分析处理过程效率高,成本低,糖网患者体验佳,且分析处理后的数据可发送给糖网患者本人,让糖网患者对自己的眼底健康有所了解,或者发给专业的医务人员,让医务人员根据分析结果给糖网患者更好的治疗建议等。The fundus image acquisition terminal 301 automatically acquires the fundus images of the patients of the sugar net at different periods, and the data storage module 3021 stores the fundus images; the fundus image analysis and comparison module 3022 automatically analyzes and compares the fundus images of different periods to obtain sugar Changes in the characteristics of the fundus image of the net patient; the result analysis module 3023 analyzes and processes the changes in the characteristics of the fundus image of the sugar net patient. Throughout the above process, sugar-net patients can collect their own fundus images at any place where the fundus image acquisition device is installed, upload them to the fundus image processing terminal 302, and the fundus image processing terminal 302 will store the fundus images and automatically Analyze and compare the fundus images of the patients with the sugar mesh in different periods, obtain the changes of the fundus image features, and analyze and process the changes of the features of the fundus images of the sugar mesh patient. The sugar net patient can go to any place where an image acquisition terminal is provided, collect and upload his own fundus image to the fundus image processing terminal 302, and the fundus image processing terminal 302 automatically reads the fundus image of the sugar net patient at different periods before that, And analyze and process it, the data analysis process is high in efficiency, low in cost, and the sugar net patient has a good experience, and the analyzed data can be sent to the sugar net patient himself, so that the sugar net patient can understand their fundus health, Or send it to a professional medical staff, and let the medical staff give the sugar net patients better treatment suggestions based on the analysis results.
在本实施方式中,对于评估结果,结果分析模块3023还可用于:生成分析报告,并发送分析报告相关信息至糖网患者的移动终端设备,所述分析报告相关信息包括:分析报告、分析报告下载链接和建议报告中的一种或多种。通过生成分析报告,并发送给糖网患者,使糖网患者第一时间知道结果,方便糖网患者根据评估结果调整自己的生活习惯或根据分析报告给的建议进一步治疗或观察等等,将有效地帮助糖网患者,包括需要进行定时筛查的其它所有糖尿病患者,实时且良好地了解、控制自己的糖尿病病情。In this embodiment, regarding the evaluation result, the result analysis module 3023 can also be used to generate an analysis report and send the analysis report related information to the mobile terminal device of the sugar net patient. The analysis report related information includes: analysis report, analysis report One or more of the download links and recommendation reports. By generating an analysis report and sending it to the sugar net patient, the sugar net patient will know the result in the first time, so that the sugar net patient can adjust their living habits according to the evaluation result or further treatment or observation according to the recommendations given in the analysis report, etc., will be effective To help sugar net patients, including all other diabetic patients who need regular screening, to understand and control their diabetes in real time and well.
需要说明的是,尽管在本文中已经对上述各实施例进行了描述,但并非因此限制本发明的专利保护范围。因此,基于本发明的创新理念,对本文所述实施例进行的变更和修改,或利用本发明说明书及附图内容所作的等效结构或等效流程变换,直接或间接地将以上技术方案运用在其他相关的技术领域,均包括在本发明的专利保护范围之内。It should be noted that although the above embodiments have been described herein, it does not limit the scope of patent protection of the present invention. Therefore, based on the innovative concept of the present invention, the changes and modifications to the embodiments described herein, or the equivalent structure or equivalent process transformation made by the description and drawings of the present invention, directly or indirectly apply the above technical solutions All other related technical fields are included in the patent protection scope of the present invention.

Claims (10)

  1. 一种糖网眼底特征数据变化的分析方法,其特征在于,包括步骤:A method for analyzing the change of the characteristic data of the fundus of the sugar net, which is characterized in that it includes the steps of:
    获取糖网患者的眼底图像;Obtaining the fundus image of patients with sugar net;
    提取并标识所述眼底图像特征数据;Extract and identify the characteristic data of the fundus image;
    对所述眼底图像特征数据进行存储;Storing the feature data of the fundus image;
    判断是否存储有该糖网患者前期的眼底图像特征数据,若存储有所述糖网患者前期的眼底图像特征数据,则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次眼底筛查特征数据的变化情况;Determine whether the fundus image feature data of the early stage of the sugar net patient is stored, and if the fundus image feature data of the early stage of the sugar net patient is stored, analyze and compare the fundus image feature data of the sugar net patient at different periods to obtain Changes in the characteristic data of this fundus screening in sugar net patients;
    对所述眼底筛查特征数据变化情况进行分析处理。Analyze and process the changes in the fundus screening characteristic data.
  2. 根据权利要求1所述的一种糖网眼底特征数据变化的分析方法,其特征在于,The method for analyzing the change of the characteristic data of the fundus eye of a sugar net according to claim 1, wherein:
    所述“则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次眼底筛查特征数据的变化情况”,还包括步骤:The "analysis and comparison of the fundus image feature data of the sugar mesh patient in different periods to obtain the changes of the fundus screening feature data of the sugar mesh patient at this time" also includes steps:
    建立亮度直方图均衡对眼底图像进行预处理;Establish brightness histogram equalization to preprocess the fundus image;
    建立形态滤波器确定预处理后的眼底图像中黄斑及视盘的位置;Establish a morphological filter to determine the position of the macula and optic disc in the pretreated fundus image;
    分割预处理后的眼底图像的主血管;Segment the main vessels of the pretreated fundus image;
    根据眼底结构参数对齐眼底图像,修正所述眼底图像特征数据的标识,所述眼底结构参数包括:黄斑的位置、视盘的位置和主血管信息;Align the fundus image according to the fundus structure parameters and correct the identification of the fundus image feature data. The fundus structure parameters include: the position of the macula, the position of the optic disc, and the information of the main blood vessel;
    自动分析所述眼底图像特征数据变化。Automatically analyze the characteristic data changes of the fundus image.
  3. 根据权利要求1所述一种糖网眼底特征数据变化的分析方法,其特征在于,The method for analyzing the change of the characteristic data of the fundus eye of a sugar net according to claim 1, wherein:
    “对所述眼底筛查特征数据变化情况进行分析处理”,还包括步骤:"Analyze and analyze the changes in the characteristic data of the fundus screening" also includes the steps:
    分析计算得到所述糖网患者预设时间段内的控糖效果以及身体健康状况;Analyzing and calculating the sugar control effect and the health status of the sugar net patient within a preset time period;
    并根据分析结果给出对应的健康服务建议;According to the analysis results, corresponding health service suggestions are given;
    生成所述控糖效果、身体健康状况以及所述健康服务建议的报告,并发送所述报告相关信息至所述糖网患者的移动终端设备。Generate a report of the sugar control effect, physical health status and the health service recommendations, and send the report-related information to the mobile terminal device of the sugar net patient.
  4. 根据权利要求1所述一种糖网眼底特征数据变化的分析方法,其特征在于,The method for analyzing the change of the characteristic data of the fundus eye of a sugar net according to claim 1, wherein:
    所述“标识所述眼底图像特征数据”,还包括步骤:The "identifying the characteristic data of the fundus image" further includes the steps of:
    标识微血管瘤及其与黄斑中心凹相对位置;Mark the microhemangioma and its relative position to the fovea;
    标识出血点的大小及其与黄斑中心凹的相对位置;Mark the size of the bleeding point and its relative position to the fovea of the macula;
    标识并分析硬性渗出的范围及其与黄斑中心凹的最小距离。Identify and analyze the range of hard exudation and its minimum distance from the fovea.
  5. 一种存储设备,其中存储有指令集,其特征在于,所述指令集用于执行:A storage device in which an instruction set is stored, characterized in that the instruction set is used to execute:
    获取糖网患者的眼底图像;Obtaining the fundus image of patients with sugar net;
    提取并标识所述眼底图像特征数据;Extract and identify the characteristic data of the fundus image;
    对所述眼底图像特征数据进行存储;Storing the feature data of the fundus image;
    判断是否存储有该糖网患者前期的眼底图像特征数据,若存储有所述糖网患者前期的眼底图像特征数据,则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次眼底筛查特征数据的变化情况;Determine whether the fundus image feature data of the early stage of the sugar net patient is stored, and if the fundus image feature data of the early stage of the sugar net patient is stored, analyze and compare the fundus image feature data of the sugar net patient at different periods to obtain the Changes in the characteristic data of this fundus screening in sugar net patients;
    对所述眼底筛查特征数据变化情况进行分析处理。Analyze and process the changes in the fundus screening characteristic data.
  6. 根据权利要求5所述的一种存储设备,其特征在于,所述指令集还用于执行:A storage device according to claim 5, wherein the instruction set is further used to execute:
    所述“则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次眼底筛查特征数据的变化情况”,还包括步骤:The "analysis and comparison of the fundus image feature data of the sugar mesh patient in different periods to obtain the changes of the fundus screening feature data of the sugar mesh patient at this time" also includes steps:
    建立亮度直方图均衡对眼底图像进行预处理;Establish brightness histogram equalization to preprocess the fundus image;
    建立形态滤波器确定预处理后的眼底图像中黄斑及视盘的位置;Establish a morphological filter to determine the position of the macula and optic disc in the pretreated fundus image;
    分割预处理后的眼底图像的主血管;Segment the main vessels of the pretreated fundus image;
    根据眼底结构参数对齐眼底图像,修正所述眼底图像特征数据的标识,所述眼底结构参数包括:黄斑的位置、视盘的位置和主血管信息;Align the fundus image according to the fundus structure parameters and correct the identification of the fundus image feature data. The fundus structure parameters include: the position of the macula, the position of the optic disc, and the information of the main blood vessel;
    自动分析所述眼底图像特征数据变化。Automatically analyze the characteristic data changes of the fundus image.
  7. 根据权利要求5所述的一种存储设备,其特征在于,所述指令集还用于执行:A storage device according to claim 5, wherein the instruction set is further used to execute:
    “对所述眼底筛查特征数据变化情况进行分析处理”,还包括步骤:"Analyze and process the changes of the fundus screening characteristic data", which also includes the steps:
    分析计算得到所述糖网患者预设时间段内的控糖效果以及身体健康状况;Analyzing and calculating the sugar control effect and the health status of the sugar net patient within a preset time period;
    并根据分析结果给出对应的健康服务建议;According to the analysis results, corresponding health service suggestions are given;
    生成所述控糖效果、身体健康状况以及所述健康服务建议的报告,并发送所述报告相关信息至所述糖网患者的移动终端设备。Generate a report of the sugar control effect, physical health status and the health service recommendations, and send the report-related information to the mobile terminal device of the sugar net patient.
  8. 根据权利要求5所述的一种存储设备,其特征在于,所述指令集还用于执行:A storage device according to claim 5, wherein the instruction set is further used to execute:
    所述“标识所述眼底图像特征数据”,还包括步骤:The "identifying the characteristic data of the fundus image" further includes the steps of:
    标识微血管瘤及其与黄斑中心凹相对位置;Mark the microhemangioma and its relative position to the fovea;
    标识出血点的大小及其与黄斑中心凹的相对位置;Mark the size of the bleeding point and its relative position to the fovea of the macula;
    标识并分析硬性渗出的范围及其与黄斑中心凹的最小距离。Identify and analyze the range of hard exudation and its minimum distance from the fovea.
  9. 一种糖网眼底特征数据变化的分析***,其特征在于,包括:眼底图像获取终端和眼底图像处理终端,所述眼底图像处理终端包括:数据存储模块、眼底图像分析比对模块和结果分析模块;A sugar net fundus characteristic data change analysis system, which includes: a fundus image acquisition terminal and a fundus image processing terminal, the fundus image processing terminal includes: a data storage module, a fundus image analysis comparison module and a result analysis module ;
    所述眼底图像获取终端连接所述眼底图像处理终端;The fundus image acquisition terminal is connected to the fundus image processing terminal;
    所述眼底图像获取终端用于:获取糖网患者的眼底图像并发送所述眼底图像至眼底图像处理终端;The fundus image acquisition terminal is used to: acquire a fundus image of a sugar net patient and send the fundus image to a fundus image processing terminal;
    所述眼底图像处理终端用于:提取并标识所述眼底图像特征数据;The fundus image processing terminal is used for: extracting and identifying feature data of the fundus image;
    所述数据存储模块用于:对所述眼底图像特征数据进行存储,The data storage module is used to store the characteristic data of the fundus image,
    所述眼底图像分析比对模块用于:判断是否存储有该糖网患者前期的眼底图像特征数据,若存储有所述糖网患者前期的眼底图像特征数据,则分析比对所述糖网患者不同时期的眼底图像特征数据,获取所述糖网患者该次筛查眼底图像特征数据的变化情况;The fundus image analysis and comparison module is used to determine whether the early-stage fundus image feature data of the sugar net patient is stored, and if the early-stage fundus image feature data of the sugar net patient is stored, analyze and compare the sugar net patient Fundus image feature data of different periods, to obtain the changes of the fundus image feature data of the sugar net patient in this screening;
    所述结果分析模块用于:对所述眼底筛查特征数据变化情况进行分析处理。The result analysis module is used for analyzing and processing the changes of the fundus screening characteristic data.
  10. 根据权利要求9所述的一种糖网眼底特征数据变化的分析***,其特征在于,The analysis system for the change of the characteristic data of the fundus eye fundus according to claim 9, wherein
    所述眼底图像分析比对模块还用于:The fundus image analysis and comparison module is also used to:
    建立亮度直方图均衡对眼底图像进行预处理;Establish brightness histogram equalization to preprocess the fundus image;
    建立形态滤波器确定预处理后的眼底图像中黄斑及视盘的位置;Establish a morphological filter to determine the position of the macula and optic disc in the pretreated fundus image;
    分割预处理后的眼底图像的主血管;Segment the main vessels of the pretreated fundus image;
    根据眼底结构参数对齐眼底图像,修正所述眼底图像特征数据的标识,所述眼底结构参数包括:黄斑的位置、视盘的位置和主血管信息;Align the fundus image according to the fundus structure parameters and correct the identification of the fundus image feature data. The fundus structure parameters include: the position of the macula, the position of the optic disc, and the information of the main blood vessel;
    自动分析所述眼底图像特征数据变化;Automatically analyze the changes of the fundus image feature data;
    所述眼底图像处理终端还用于:The fundus image processing terminal is also used to:
    标识微血管瘤及其与黄斑中心凹相对位置;Mark the microhemangioma and its relative position to the fovea;
    标识出血点的大小及其与黄斑中心凹的相对位置;Mark the size of the bleeding point and its relative position to the fovea of the macula;
    标识并分析硬性渗出的范围及其与黄斑中心凹的最小距离。Identify and analyze the range of hard exudation and its minimum distance from the fovea.
PCT/CN2018/124487 2018-11-21 2018-12-27 Analysis method and system for feature data change of diabetic retinopathy fundus, and storage device WO2020103288A1 (en)

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