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WO2018181714A1 - Ophthalmological information processing system - Google Patents

Ophthalmological information processing system Download PDF

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Publication number
WO2018181714A1
WO2018181714A1 PCT/JP2018/013241 JP2018013241W WO2018181714A1 WO 2018181714 A1 WO2018181714 A1 WO 2018181714A1 JP 2018013241 W JP2018013241 W JP 2018013241W WO 2018181714 A1 WO2018181714 A1 WO 2018181714A1
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WIPO (PCT)
Prior art keywords
database
information
user terminal
ophthalmologic
processing system
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Ceased
Application number
PCT/JP2018/013241
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French (fr)
Japanese (ja)
Inventor
徹哉 加納
寿成 鳥居
涼介 柴
晃太 角川
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Nidek Co Ltd
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Nidek Co Ltd
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Priority to JP2019510127A priority Critical patent/JP7230800B2/en
Publication of WO2018181714A1 publication Critical patent/WO2018181714A1/en
Anticipated expiration legal-status Critical
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00Apparatus for testing the eyes; Instruments for examining the eyes
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00General purpose image data processing
    • 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
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data

Definitions

  • the present invention relates to an ophthalmologic information processing system for processing ophthalmologic information of an eye to be examined.
  • Patent Document 1 ophthalmologic information that transmits examination data obtained by an ophthalmic apparatus at each medical facility to a server via a network, performs data analysis processing at the server, and then transmits a processing result to each medical facility via the network.
  • the present disclosure is to provide an ophthalmologic information processing system that can effectively use ophthalmologic information collected via a network.
  • the present disclosure is characterized by having the following configuration.
  • An ophthalmologic information processing system comprising a user terminal and a server that can communicate with each other via a network, wherein the user terminal includes a designation unit that designates a database creation item created by the server, and the designation unit.
  • First transmission means for transmitting the designated creation item to the server via the network, the server receiving the creation item transmitted from the user terminal; Creating means for creating the database corresponding to the creation item.
  • the ophthalmologic information processing system processes, for example, ophthalmologic information of an eye to be examined obtained by an ophthalmologic apparatus.
  • the ophthalmologic information processing system 1 includes an ophthalmologic information processing server 200 and a user terminal 100 (see FIG. 1).
  • the ophthalmologic information processing server 200 is connected to a plurality of user terminals 100 (user terminal 100A, user terminal 100B, user terminal 100C, etc.) through a network so that they can communicate with each other.
  • the user terminal 100 can acquire patient medical information, for example.
  • the medical information is, for example, examination information acquired by a medical examination apparatus (for example, various ophthalmologic apparatuses, CT, MRI, thermometer, weight scale, blood pressure monitor, etc.), doctor diagnosis information, or patient medication information, medical history, age Includes patient information such as gender, region, and race.
  • a medical examination apparatus for example, various ophthalmologic apparatuses, CT, MRI, thermometer, weight scale, blood pressure monitor, etc.
  • doctor diagnosis information or patient medication information
  • medical history includes patient information such as gender, region, and race.
  • the medical information may include ophthalmic information related to the patient's eye.
  • the ophthalmologic information includes, for example, ophthalmic examination information, ophthalmologic diagnosis information, eye information to be examined, and the like.
  • the ophthalmic examination information includes, for example, image data acquired by the ophthalmologic apparatus, examination results, date and time (or season) when the examination (or photographing) was performed, and the like. Examples of image data include anterior eye image and fundus image data obtained by a slit lamp, fundus image and fluorescence image data obtained by a fundus camera, and an anterior eye portion obtained by an optical coherence tomometer.
  • the ophthalmologic diagnosis information is, for example, a diagnosis result by an ophthalmologist such as a disease name and a medical condition.
  • the eye information is, for example, the axial length, viewing angle, intraocular pressure, left / right information of the eye, and the like.
  • the network is configured to include a wide area network (Wide Area Network: WAN) N such as the Internet.
  • WAN Wide Area Network
  • the user terminal 100A installed in the medical facility A is connected to the wide area network N via the hospital server 150 so as to be able to communicate with each other via a LAN (Local Area Network: LAN).
  • LAN Local Area Network: LAN
  • Part or all of the network may be a wired communication line or a wireless communication line.
  • the network is not limited to such a form, and it is sufficient that bidirectional communication is possible between each user terminal and the ophthalmologic information processing server.
  • the user terminal 100 is, for example, a computer used by a user (such as a doctor) to browse various medical information or edit an electronic medical record.
  • a user such as a doctor
  • the user terminal 100A, the user terminal 100B, and the user terminal 100C are arranged in different facilities and used for different users.
  • the in-hospital server 150 is a computer that manages various information processing in the medical facility A.
  • the in-hospital server 150 functions as various systems such as an electronic medical record system, for example.
  • the ophthalmologic information processing server 200 is installed in the data center D and provides a service provided by the ophthalmologic information processing system 1 to each user terminal.
  • the hospital server 150 can be a general computer, detailed description thereof is omitted. Since the basic configurations of the user terminals 100A, 100B, and 100C may be the same, only the user terminal 100A will be described in detail.
  • the user terminal 100A includes, for example, a control unit 101, a communication unit 102, a storage unit 103, a display unit 104, an operation unit 106, an item designation unit 107, and an analysis processing unit 110 (see FIG. 2). .
  • control unit 101 controls each unit of the user terminal 100A.
  • the control unit 101 includes, for example, a CPU, a ROM, a RAM, and the like.
  • the CPU executes predetermined control processing and arithmetic processing based on a program stored in a storage device such as a ROM and a RAM.
  • the communication unit 102 performs data communication with the hospital server 150. For example, the communication unit 102 performs a process of transmitting data to the hospital server 150 and a process of receiving data transmitted from the hospital server 150.
  • the communication unit 102 has a configuration based on a network constructed in the medical facility A, and includes a communication device such as a LAN adapter, for example. Note that the communication unit 102 may directly communicate with the server 200 via the network N without using the hospital server 150.
  • the storage unit 103 stores various data processed by the user terminal 100. This data includes, for example, image data of the eye to be examined acquired by the ophthalmologic apparatus.
  • the storage unit 103 is, for example, a nonvolatile storage device that can write and read data. For example, data writing and reading processing is executed by the control unit 101.
  • the storage unit 103 may be a storage device connected to a computer that functions as the user terminal 100.
  • the storage unit 103 may be provided in the hospital server 150.
  • the storage unit 103 only needs to be able to read the stored information from the user terminal 100 at an arbitrary timing.
  • the display unit 104 displays various information, for example.
  • the display unit 104 is, for example, a liquid crystal display or an organic EL display.
  • the information displayed on the display unit 104 is, for example, an image of an eye to be examined, an electronic medical record, or various operation screens. Data for displaying these is stored in the storage device of the control unit 101, for example.
  • the operation unit 106 is used for instruction input and information input.
  • the operation unit 106 is an arbitrary operation device such as a keyboard, a mouse, a trackball, a joystick, or an operation panel.
  • the operation unit 106 is used when a user inputs a creation item when the ophthalmologic information processing server 200 creates a database.
  • the database will be described later.
  • the item designation unit 107 designates a database creation item.
  • the created items include, for example, any of disease name, medical condition, age, sex, region, race, and the like.
  • the item designation unit 107 designates a creation item selected by the user, for example.
  • the user uses the operation unit 106 to select a desired one of the creation item options displayed on the display unit 104, for example.
  • the user may input a desired item into the predetermined input field displayed on the display unit 104 using the operation unit 106.
  • the control unit 101 transmits a database creation instruction (DB creation instruction) corresponding to the selected content and input content to the ophthalmologic information processing server 200.
  • DB creation instruction database creation instruction
  • the item specifying unit 107 may automatically specify the created item.
  • the server 200 designates a creation item corresponding to the medical information transmitted from the user terminal 100.
  • the item designation unit 107 may designate the disease name of the eye to be examined as a creation item based on the diagnosis information.
  • creation items such as age, sex, region, and race may be designated based on patient information.
  • the analysis processing unit 110 executes various types of analysis processing on medical information including image data acquired by a medical examination apparatus.
  • the analysis processing unit 110 stores a program for executing each analysis process.
  • the analysis processing executed by the analysis processing unit 110 includes all known image processing performed on image data.
  • the ophthalmologic information processing server 200 includes a control unit 201, a communication unit 202, an information storage unit 210, an analysis processing unit 220, a database storage unit 223, an update processing unit 225, and the like (see FIG. 3).
  • control unit 201 controls each unit of the ophthalmologic information processing server 200.
  • the control unit 201 includes, for example, a CPU, a ROM, a RAM, and the like.
  • the CPU executes predetermined control processing and arithmetic processing based on a program stored in a storage device such as a ROM and a RAM.
  • the communication unit 202 performs data communication with each of the user terminals 100A, 100B, and 100C (including a plurality of user terminals) via the network N. This data communication includes a process for transmitting data to each user terminal 100 and a process for receiving data transmitted from each user terminal.
  • the communication unit 202 has a configuration conforming to the network N and includes a communication device such as a modem.
  • the information storage unit 210 stores a large number of medical information transmitted from each user terminal 100, for example. For example, medical information of a large number of patients with different ages, genders, races, and diseases is stored. A large amount of medical information accumulated in the information storage unit 210 is used to create a database.
  • the analysis processing unit 220 performs various analysis processes on medical information including image data and the like. For example, the analysis processing unit 220 acquires a database related to medical information from the database storage unit 223 and analyzes the medical information based on the database.
  • the database creation unit 226 creates a database based on a DB creation instruction received from a user terminal.
  • the database creation unit 226 collects medical information related to the creation item specified in the DB creation instruction from the information storage unit 210 and creates a database.
  • the database creation unit 226 performs image analysis processing on a plurality of image data obtained for a plurality of eyes to be examined by an ophthalmologic apparatus to obtain a plurality of analysis result data, and statistically processes the analysis result data. Generate a database with The database is used for analysis of medical information.
  • the database storage unit 223 stores a database created by the database creation unit 226.
  • the database includes representative values (average value, median value, etc.) of a plurality of analysis result data, or variation information (standard deviation, variance, etc.).
  • An example of the database is a normal eye database in which the thickness of a predetermined layer of the fundus of a normal eye is converted into a database.
  • the update processing unit 225 updates the database stored in the database storage unit 223 based on analysis information based on new medical information obtained by the ophthalmologic apparatus. New medical information or analysis information is input to the ophthalmologic information processing server 200 via the communication unit 202, for example. When new medical information is input, the analysis processing unit 220 generates analysis information from the medical information.
  • the update processing unit 225 may reflect new analysis information in the current database, or replace the current database with a new database.
  • FIG. 4 is a flowchart for creating a database.
  • ophthalmic information is used as medical information for creating a database.
  • the creation of the database is not limited to ophthalmic information, and other medical information may be used.
  • Step S1 Selection of creation item
  • the user selects a database creation item using the user terminal 100A. Therefore, the control unit 101 causes the display unit 104 to display a predetermined user interface.
  • the user interface is, for example, a list display of created items, a pull-down menu display, an icon display, or the like.
  • the user performs an operation of selecting a database creation item using the user interface and the operation unit 106. For example, the user selects age, sex, region, race, disease name, symptom, imaging region, and the like as creation items of the database.
  • Step S2 Specification of creation item
  • the item designation unit 107 designates a database creation item based on the user selection received by the operation unit 106. For example, when the age and disease name are selected by the user, the item designating unit 107 designates the age and disease name as the creation items.
  • Step S3 Transmission of creation instruction
  • the control unit 101 controls the communication unit 102 to cause the ophthalmologic information processing server 200 to transmit a DB creation instruction including the creation item specified in step S2 and a terminal ID for identifying the user terminal.
  • Step S4 Reception of creation instruction
  • the communication unit 202 of the ophthalmologic information processing server 200 receives the DB creation instruction transmitted from the user terminal 100A.
  • Step S5 Database creation
  • the ophthalmologic information processing server 200 creates a database corresponding to the DB creation instruction received from the user terminal 100A.
  • the database creation unit 226 collects corresponding ophthalmic information from the information storage unit 210 based on the creation item specified in the DB creation instruction, and creates a database.
  • Step S6 Database transmission
  • the control unit 201 acquires the address (IP address or the like) of the user terminal 100 based on the terminal ID received in step S4.
  • the ophthalmologic information processing server 200 for example, the information storage unit 210
  • information in which a terminal ID is associated with an address is stored in advance, and the control unit 201 specifies a target address with reference to this information. To do.
  • the address of the user terminal 100A used in the transmission / reception processing in steps S3 and S4 may be used as a reply destination.
  • the control unit 201 transmits the database to the acquired address.
  • Step S7 Database reception
  • the communication unit 102 of the user terminal 100 receives the database transmitted from the ophthalmologic information processing server 200.
  • Step S8 Analysis using database
  • the control unit 101 of the user terminal 100A causes the storage unit 103 to store the database received by the communication unit 102.
  • the control unit 101 analyzes image data using a database stored in the storage unit 103.
  • control unit 101 can perform analysis using a diseased eye database created based on ophthalmic information classified for each disease.
  • a diseased eye database created based on ophthalmic information classified for each disease.
  • a color map image in which the type of disease at each position and the probability thereof are color-coded may be created (see FIG. 5). From this color map image, the user can easily grasp which disease is likely to occur in each part of the eye to be examined.
  • the control part 101 may graph the probability that each disease has developed based on the image to be analyzed.
  • control unit 101 may display which stage corresponds to the probability based on the image data.
  • Step S9 Analysis result display
  • the display control unit 105 causes the display unit 104 to display the analysis result of step S8.
  • the ophthalmologic information processing system 1 can create a database classified into various items based on a large number of ophthalmologic information collected by the network. For example, it is possible to classify stages of diseases by collecting test results on eyes having the same disease and creating a database. Accordingly, not only whether or not the eye to be examined is a normal eye as in the prior art, but also when diagnosing the disease name or the progression of disease, etc., the ophthalmic information acquired in the past can be used effectively. Further, more effective information can be obtained by classifying the database based on patient information such as age, sex, race, region, etc. in addition to classification by disease name.
  • a database desired by the user can be created in real time from the accumulated ophthalmologic information.
  • the user can make use of it for medical research by creating various databases, or improve the diagnostic accuracy by creating a database suitable for each patient.
  • the item specifying unit 107 may automatically specify a database creation item.
  • the item specifying unit 107 may automatically specify an item that is determined to be relevant based on ophthalmologic information transmitted as an analysis target from the user terminal 100 and instruct the creation of a database.
  • the item designating unit 107 may designate the creation item of the corresponding disease database based on the findings data obtained by analyzing the image data of the eye to be examined.
  • the item designating unit 107 may instruct the creation of a further classified database by designating items such as the age, sex, race, and region of the patient.
  • the item specifying unit 107 may automatically specify a database creation item based on the characteristics of a large number of ophthalmologic information accumulated in the information storage unit 210. As described above, the item designating unit 107 automatically designates a creation item, so that a required database can be automatically used even if the user does not designate the creation item.
  • the database is received (downloaded) from the ophthalmic information processing server 200 and the analysis processing is performed on the user terminal 100.
  • the analysis processing may be performed on the ophthalmic information processing server 200.
  • the user terminal 100 transmits ophthalmologic information to be analyzed to the ophthalmologic information processing server 200, and the ophthalmologic information processing server 200 sends the analysis result obtained by analyzing the received ophthalmic information to the user terminal 100. Send.
  • the ophthalmologic information processing server 200 does not need to create a database when there is little ophthalmologic information regarding the designated creation item in the information storage unit 210.
  • an error signal indicating that the database cannot be created due to insufficient information may be transmitted to the user terminal 100.
  • the user terminal 100 may display the fact on the display unit 104 to notify the user.
  • the user terminal 100 may notify the user of a message that prompts the user to send the missing information to the ophthalmologic information processing server 200.
  • the user who has received the message acquires the missing information by the ophthalmologic apparatus or the like and actively sends it to the ophthalmologic information processing server 200, thereby making it possible to create a database and prompting the utilization of ophthalmologic information.
  • the ophthalmologic information processing server 200 may create a database even when there is little ophthalmologic information regarding the designated creation item. In this case, the user may be warned that the number of data used for database creation is small.
  • the ophthalmologic information processing server 200 may include a normalization processing unit 222 (see FIGS. 3 and 6). For example, it is assumed that ophthalmic devices from different manufacturers are used in the medical facilities A, B, and C, respectively. In this case, the ophthalmologic information processing server 200 normalizes ophthalmologic information received from the user terminals A, B, and C of each medical facility by the normalization processing unit 222, and creates a normalization database DB0 based on the normalized ophthalmologic information. You may create it. This makes it possible to create a database that does not depend on the type of apparatus.
  • ophthalmic information when ophthalmic information is transmitted from the user terminal 100 to the ophthalmologic information processing server 200, device information is added to the ophthalmic information by the user terminal 100.
  • the normalization processing unit 222 normalizes the ophthalmologic information received from the user terminal 100 according to the specifications of each device based on the device information given by the user terminal 100. Further, when transmitting the database to the user terminal 100, for example, the normalized database DB0 is converted into a database corresponding to the specification of each device based on correspondence information in which each user terminal 100 is associated with device information. As a result, even when devices of different manufacturers are used in each facility, ophthalmic information can be shared as a database and effectively utilized between facilities.
  • the control unit 201 sends new ophthalmic information to the update processing unit 255.
  • the update processing unit 255 updates the database stored in the database storage unit 223 based on the new ophthalmologic information.
  • the database storage unit 223 stores a database generated by statistically processing a plurality of pieces of analysis information obtained by performing analysis processing on a plurality of pieces of ophthalmologic information obtained for a plurality of eyes to be examined by the ophthalmologic apparatus. ing.
  • the update processing unit 225 updates the database stored in the database storage unit 223 based on analysis information based on new image data obtained by the ophthalmologic apparatus.
  • the ophthalmologic information processing server 200 may include a determination unit 221 (see FIG. 3). For example, when receiving new ophthalmic information, the determination unit 221 may determine whether the new ophthalmic information is appropriate data as compared with a database stored in the database storage unit 223. For example, when the new ophthalmic information is significantly different from the database stored in the database storage unit 223, the determining unit 221 may determine that the new ophthalmic information is not appropriate and may not use it for updating the database. Thereby, even when erroneous ophthalmologic information due to an inspection error or the like is received, it is possible to prevent the validity of the database from being impaired.
  • the determination unit 221 may determine whether or not the ophthalmic information is appropriate data based on the review information.
  • the ophthalmologic information processing server 200 transmits the ophthalmic information transmitted by the user terminal 100A used in a certain medical facility A to the user terminal 100B used in another medical facility B, and the effectiveness of the ophthalmic information is confirmed.
  • Review information may be acquired.
  • the control unit 201 transmits inspection data and diagnosis results received from the user terminal 100A to the user terminal 100B.
  • the user of the user terminal 100B inputs the suitability of the received examination data and diagnosis result through the operation unit 106.
  • the control unit 101 transmits review information based on the input to the ophthalmologic information processing server 200 through the communication unit 102.
  • the determination unit 221 determines the suitability of ophthalmic information from the user terminal 100A based on the review information received from the user terminal 100B. In this manner, the validity of the database is guaranteed by confirming the validity of the ophthalmologic information in other medical facilities.
  • the analysis processing unit 110 or the analysis processing unit 220 may predict how the retinal structure changes using the feature database.
  • the feature database is, for example, a database of not only retinal thickness information but also disease features.
  • machine learning is used to create the feature database.
  • the machine learning algorithm include a neural network, random forest, boosting, support vector machine (SVM), and the like.
  • DCGAN Deep Convolutional Generative Adversarial Networks
  • the analysis processing units 110 and 220 image the retinal structure with DCGAN based on the analysis information predicted from the past analysis information by machine learning (or simple linear regression).
  • the ophthalmologic information processing system 1 may automatically present the predicted retinal structure to the user from other parameters of the body. For example, it is possible to create a database of associations with other parameters of the body other than the eye, and present the risk of eye diseases based on the other parameters of the body. For example, a predicted retinal structure in the case of diabetic retinopathy may be presented to a patient with high blood pressure.
  • the analysis processing unit 110 or the analysis processing unit 220 may analyze the cause of the disease by statistical analysis (principal component analysis or regression analysis). For example, the analysis processing units 110 and 220 automatically analyze which parameter has a strong correlation with the disease from among many parameters obtained by image analysis, such as information on the age and sex of the patient. The cause of the disease may be analyzed. The analyzed factors may be useful for disease research and the like.

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Abstract

The technical problem addressed by the present invention is to provide an ophthalmological information processing system that makes it possible to effectively use ophthalmological information collected via a network. This ophthalmological information processing system comprises a user terminal and a server that can communicate with each other via a network. The ophthalmological information processing system is characterized in that: the user terminal includes a specification means for specifying a creation item for a database to be created by the server, and a first transmission means for transmitting the creation item specified by the specification means to the server via the network; and the server includes a reception means for receiving the creation item transmitted by the user terminal, and a creation means for creating the database corresponding to the creation item.

Description

眼科情報処理システムOphthalmology information processing system

 被検眼の眼科情報を処理するための眼科情報処理システムに関する。 The present invention relates to an ophthalmologic information processing system for processing ophthalmologic information of an eye to be examined.

 近年、各医療施設の眼科装置で得られた検査データを、ネットワークを介してサーバに送信し、サーバにおいてデータ解析処理を行なった後、ネットワークを介して処理結果を各医療施設に送信する眼科情報システムが提案されている(特許文献1)。 In recent years, ophthalmologic information that transmits examination data obtained by an ophthalmic apparatus at each medical facility to a server via a network, performs data analysis processing at the server, and then transmits a processing result to each medical facility via the network. A system has been proposed (Patent Document 1).

特開2013-081601号公報JP 2013-081601 A

 しかしながら、従来の眼科情報処理システムにおいて、サーバによって各医療施設から収集された検査データを有効に活用できているとは言えなかった。 However, in conventional ophthalmologic information processing systems, it cannot be said that examination data collected from each medical facility by a server can be effectively utilized.

 本開示は、従来の問題点に鑑み、ネットワークを介して収集された眼科情報を有効に活用できる眼科情報処理システムを提供することを技術課題とする。 In view of the conventional problems, the present disclosure is to provide an ophthalmologic information processing system that can effectively use ophthalmologic information collected via a network.

 上記課題を解決するために、本開示は以下のような構成を備えることを特徴とする。 In order to solve the above problems, the present disclosure is characterized by having the following configuration.

 ネットワークを介して、相互に通信可能なユーザ端末とサーバからなる眼科情報処理システムであって、前記ユーザ端末は、前記サーバによって作成されるデータベースの作成項目を指定する指定手段と、前記指定手段によって指定された前記作成項目を、前記ネットワークを介して前記サーバへ送信する第1送信手段と、を有し、前記サーバは、前記ユーザ端末から送信された前記作成項目を受信する受信手段と、前記作成項目に対応する前記データベースを作成する作成手段と、を有することを特徴とする。 An ophthalmologic information processing system comprising a user terminal and a server that can communicate with each other via a network, wherein the user terminal includes a designation unit that designates a database creation item created by the server, and the designation unit. First transmission means for transmitting the designated creation item to the server via the network, the server receiving the creation item transmitted from the user terminal; Creating means for creating the database corresponding to the creation item.

実施例に係る眼科情報処理システムの構成の一例を表す概略ブロック図である。It is a schematic block diagram showing an example of composition of an ophthalmology information processing system concerning an example. 実施例に係る眼科情報処理システムの構成の一例を表す概略ブロック図である。It is a schematic block diagram showing an example of composition of an ophthalmology information processing system concerning an example. 実施例に係る眼科情報処理システムの構成の一例を表す概略ブロック図である。It is a schematic block diagram showing an example of composition of an ophthalmology information processing system concerning an example. 実施例に係る眼科情報処理システムの動作の一例を表すフローチャートである。It is a flowchart showing an example of operation | movement of the ophthalmologic information processing system which concerns on an Example. データベースを用いた画像解析結果の一例を示す図である。It is a figure which shows an example of the image analysis result using a database. 実施例に係る眼科情報処理システムの利用方法の一例を示す模式図である。It is a schematic diagram which shows an example of the utilization method of the ophthalmic information processing system which concerns on an Example.

 本実施例に係る眼科情報処理システムは、例えば、眼科装置によって得られた被検眼の眼科情報を処理する。眼科情報処理システム1は、眼科情報処理サーバ200と、ユーザ端末100を含む(図1参照)。眼科情報処理サーバ200は、複数のユーザ端末100(ユーザ端末100A、ユーザ端末100B、ユーザ端末100Cなど)とネットワークを介して相互に通信可能に接続されている。ユーザ端末100は、例えば、患者の医療情報を取得することができる。医療情報は、例えば、医療検査装置(例えば、各種眼科装置、CT、MRI、体温計、体重計、血圧計など)によって取得される検査情報、医師の診断情報、または患者の投薬情報、病歴、年齢、性別、地域、人種等の患者情報を含む。 The ophthalmologic information processing system according to the present embodiment processes, for example, ophthalmologic information of an eye to be examined obtained by an ophthalmologic apparatus. The ophthalmologic information processing system 1 includes an ophthalmologic information processing server 200 and a user terminal 100 (see FIG. 1). The ophthalmologic information processing server 200 is connected to a plurality of user terminals 100 (user terminal 100A, user terminal 100B, user terminal 100C, etc.) through a network so that they can communicate with each other. The user terminal 100 can acquire patient medical information, for example. The medical information is, for example, examination information acquired by a medical examination apparatus (for example, various ophthalmologic apparatuses, CT, MRI, thermometer, weight scale, blood pressure monitor, etc.), doctor diagnosis information, or patient medication information, medical history, age Includes patient information such as gender, region, and race.

 なお、医療情報には、患者の眼に関する眼科情報が含まれてもよい。眼科情報は、例えば、被検眼の眼科検査情報、眼科診断情報、被検眼情報等を含む。眼科検査情報は、例えば、眼科装置によって取得された画像データ、検査結果、検査(または撮影)が行われた日時(または季節)等である。画像データとしては、例えば、スリットランプにより取得された前眼部像や眼底像の画像データ、眼底カメラにより取得された眼底像や蛍光画像の画像データ、光干渉断層計により取得された前眼部や眼底の断層像や3次元画像の画像データ、スペキュラーマイクロスコープにより取得された角膜内皮画像の画像データ、ケラトメーターにより取得された角膜像の画像データ、超音波診断装置により取得された前眼部像や眼底像の画像データなどがある。眼科診断情報は、例えば、病名、病状などの眼科医による診断結果等である。被検眼情報は、例えば、眼軸長、視野角、眼圧、眼の左右情報等である。 Note that the medical information may include ophthalmic information related to the patient's eye. The ophthalmologic information includes, for example, ophthalmic examination information, ophthalmologic diagnosis information, eye information to be examined, and the like. The ophthalmic examination information includes, for example, image data acquired by the ophthalmologic apparatus, examination results, date and time (or season) when the examination (or photographing) was performed, and the like. Examples of image data include anterior eye image and fundus image data obtained by a slit lamp, fundus image and fluorescence image data obtained by a fundus camera, and an anterior eye portion obtained by an optical coherence tomometer. And tomograms of the fundus, 3D image data, corneal endothelium image data acquired by a specular microscope, corneal image data acquired by a keratometer, anterior eye image acquired by an ultrasound diagnostic apparatus And image data of the fundus image. The ophthalmologic diagnosis information is, for example, a diagnosis result by an ophthalmologist such as a disease name and a medical condition. The eye information is, for example, the axial length, viewing angle, intraocular pressure, left / right information of the eye, and the like.

 ネットワークは、インターネット等の広域ネットワーク(Wide Area Network: WAN)Nを含んで構成される。本実施例においては、医療施設A内に設置されたユーザ端末100Aは、LAN(Local Area Network: LAN)によって相互に通信可能に院内サーバ150を介して、広域ネットワークNに接続されている。ネットワークの一部又は全部は、有線通信回線であっても無線通信回線であってもよい。なお、ネットワークはこのような形態に限定されるものではなく、各ユーザ端末と眼科情報処理サーバとの間における双方向通信が可能であればよい。 The network is configured to include a wide area network (Wide Area Network: WAN) N such as the Internet. In the present embodiment, the user terminal 100A installed in the medical facility A is connected to the wide area network N via the hospital server 150 so as to be able to communicate with each other via a LAN (Local Area Network: LAN). Part or all of the network may be a wired communication line or a wireless communication line. Note that the network is not limited to such a form, and it is sufficient that bidirectional communication is possible between each user terminal and the ophthalmologic information processing server.

 ユーザ端末100は、例えば、ユーザ(医師など)が各種医療情報を閲覧したり電子カルテを編集したりするために使用するコンピュータである。例えば、ユーザ端末100A、ユーザ端末100B、ユーザ端末100Cは、それぞれ異なる施設に配置され、異なるユーザに使用される。 The user terminal 100 is, for example, a computer used by a user (such as a doctor) to browse various medical information or edit an electronic medical record. For example, the user terminal 100A, the user terminal 100B, and the user terminal 100C are arranged in different facilities and used for different users.

 院内サーバ150は、医療施設A内における各種情報処理を司るコンピュータである。院内サーバ150は、例えば、電子カルテシステムなどの各種システムとして機能する。 The in-hospital server 150 is a computer that manages various information processing in the medical facility A. The in-hospital server 150 functions as various systems such as an electronic medical record system, for example.

 眼科情報処理サーバ200は、データセンタDに設置されており、眼科情報処理システム1によるサービスを各ユーザ端末に提供する。 The ophthalmologic information processing server 200 is installed in the data center D and provides a service provided by the ophthalmologic information processing system 1 to each user terminal.

 以下、眼科情報処理システム1の各構成を説明する。なお、院内サーバ150については、一般的なコンピュータを用いることができるので、その詳細な説明は省略する。また、ユーザ端末100A、100B及び100Cについては、その基本的な構成は同様であってよいので、ユーザ端末100Aについてのみ詳細に説明する。 Hereinafter, each configuration of the ophthalmologic information processing system 1 will be described. Since the hospital server 150 can be a general computer, detailed description thereof is omitted. Since the basic configurations of the user terminals 100A, 100B, and 100C may be the same, only the user terminal 100A will be described in detail.

{ユーザ端末}
 ユーザ端末100Aは、例えば、制御部101と、通信部102と、記憶部103と、表示部104と、操作部106と、項目指定部107と、解析処理部110とを有する(図2参照)。
{User terminal}
The user terminal 100A includes, for example, a control unit 101, a communication unit 102, a storage unit 103, a display unit 104, an operation unit 106, an item designation unit 107, and an analysis processing unit 110 (see FIG. 2). .

[制御部]
 制御部101は、例えば、ユーザ端末100Aの各部を制御する。制御部101は、例えば、CPU、ROMおよびRAM等を備える。CPUは、ROMおよびRAM等の記憶装置に格納されているプログラムに基づいて、所定の制御処理や演算処理を実行する。
[Control unit]
For example, the control unit 101 controls each unit of the user terminal 100A. The control unit 101 includes, for example, a CPU, a ROM, a RAM, and the like. The CPU executes predetermined control processing and arithmetic processing based on a program stored in a storage device such as a ROM and a RAM.

[通信部]
 通信部102は、院内サーバ150との間でデータ通信を行う。例えば、通信部102は、院内サーバ150に向けてデータを送信する処理と、院内サーバ150から送信されたデータを受信する処理を行う。通信部102は、医療施設A内に構築されたネットワークに準拠した構成を有し、例えばLANアダプタ等の通信機器を含む。なお、通信部102は、院内サーバ150を介さずに、直接ネットワークNを介してサーバ200と通信を行ってもよい。
[Communication Department]
The communication unit 102 performs data communication with the hospital server 150. For example, the communication unit 102 performs a process of transmitting data to the hospital server 150 and a process of receiving data transmitted from the hospital server 150. The communication unit 102 has a configuration based on a network constructed in the medical facility A, and includes a communication device such as a LAN adapter, for example. Note that the communication unit 102 may directly communicate with the server 200 via the network N without using the hospital server 150.

[記憶部]
 記憶部103は、ユーザ端末100によって処理される各種データが記憶される。このデータには、例えば、眼科装置によって取得された被検眼の画像データが含まれる。記憶部103は、例えば、データの書き込み及び読み出しが可能な不揮発性の記憶装置である。例えば、データの書き込み及び読み出し処理は、制御部101によって実行される。
[Storage unit]
The storage unit 103 stores various data processed by the user terminal 100. This data includes, for example, image data of the eye to be examined acquired by the ophthalmologic apparatus. The storage unit 103 is, for example, a nonvolatile storage device that can write and read data. For example, data writing and reading processing is executed by the control unit 101.

 なお、記憶部103は、ユーザ端末100として機能するコンピュータに接続された記憶装置であってもよい。また、記憶部103は、院内サーバ150に設けるようにしてもよい。記憶部103は、記憶されている情報をユーザ端末100から任意のタイミングで読み出すことが可能であればよい。 Note that the storage unit 103 may be a storage device connected to a computer that functions as the user terminal 100. The storage unit 103 may be provided in the hospital server 150. The storage unit 103 only needs to be able to read the stored information from the user terminal 100 at an arbitrary timing.

[表示部]
 表示部104は、例えば、各種の情報を表示する。表示部104は、例えば、液晶ディスプレイまたは有機ELディスプレイ等である。表示部104に表示される情報としては、例えば、被検眼の画像、電子カルテ、または各種操作画面等である。これらを表示させるためのデータは、例えば制御部101の記憶装置に記憶されている。
[Display section]
The display unit 104 displays various information, for example. The display unit 104 is, for example, a liquid crystal display or an organic EL display. The information displayed on the display unit 104 is, for example, an image of an eye to be examined, an electronic medical record, or various operation screens. Data for displaying these is stored in the storage device of the control unit 101, for example.

[操作部]
 操作部106は、指示入力や情報入力に用いられる。操作部106は、例えばキーボード、マウス、トラックボール、ジョイスティック、操作パネルなどの任意の操作デバイスである。操作部106は、眼科情報処理サーバ200によってデータベースを作成する際に、ユーザが作成項目を入力するために用いられる。データベースについては後述する。
[Operation section]
The operation unit 106 is used for instruction input and information input. The operation unit 106 is an arbitrary operation device such as a keyboard, a mouse, a trackball, a joystick, or an operation panel. The operation unit 106 is used when a user inputs a creation item when the ophthalmologic information processing server 200 creates a database. The database will be described later.

[項目指定部]
 項目指定部107は、データベースの作成項目を指定する。作成項目は、例えば、病名、病状、年齢、性別、地域、人種等のいずれかを含む。項目指定部107は、例えば、ユーザが選択した作成項目を指定する。この場合、ユーザは、例えば表示部104に表示された作成項目の選択肢のうちの所望のものを、操作部106を用いて選択する。また、ユーザは、表示部104に表示された所定の入力欄に、操作部106を用いて所望の項目を入力してもよい。制御部101は、この選択内容や入力内容に対応するデータベース作成指示(DB作成指示)を眼科情報処理サーバ200に送信する。
[Item specification part]
The item designation unit 107 designates a database creation item. The created items include, for example, any of disease name, medical condition, age, sex, region, race, and the like. The item designation unit 107 designates a creation item selected by the user, for example. In this case, the user uses the operation unit 106 to select a desired one of the creation item options displayed on the display unit 104, for example. In addition, the user may input a desired item into the predetermined input field displayed on the display unit 104 using the operation unit 106. The control unit 101 transmits a database creation instruction (DB creation instruction) corresponding to the selected content and input content to the ophthalmologic information processing server 200.

 なお、項目指定部107は作成項目を自動で指定してもよい。この場合、例えば、サーバ200は、ユーザ端末100から送信された医療情報が該当する作成項目を指定する。例えば、項目指定部107は、診断情報に基づいて、被検眼の病名を作成項目として指定してもよい。また、患者情報に基づいて、年齢、性別、地域、人種等の作成項目が指定されてもよい。 Note that the item specifying unit 107 may automatically specify the created item. In this case, for example, the server 200 designates a creation item corresponding to the medical information transmitted from the user terminal 100. For example, the item designation unit 107 may designate the disease name of the eye to be examined as a creation item based on the diagnosis information. In addition, creation items such as age, sex, region, and race may be designated based on patient information.

[解析処理部]
 解析処理部110は、例えば、医療検査装置により取得された画像データ等を含む医療情報に対して各種の解析処理を実行する。解析処理部110には、各解析処理を実行するためのプログラムが記憶されている。解析処理部110が実行する解析処理には、画像データに対して施される公知のあらゆる画像処理が含まれる。
[Analysis processing section]
For example, the analysis processing unit 110 executes various types of analysis processing on medical information including image data acquired by a medical examination apparatus. The analysis processing unit 110 stores a program for executing each analysis process. The analysis processing executed by the analysis processing unit 110 includes all known image processing performed on image data.

{眼科情報処理サーバ}
 眼科情報処理サーバ200は、制御部201と、通信部202と、情報記憶部210と、解析処理部220、データベース記憶部223、更新処理部225等を有する(図3参照)。
{Ophthalmology information processing server}
The ophthalmologic information processing server 200 includes a control unit 201, a communication unit 202, an information storage unit 210, an analysis processing unit 220, a database storage unit 223, an update processing unit 225, and the like (see FIG. 3).

[制御部]
 制御部201は、例えば、眼科情報処理サーバ200の各部を制御する。制御部201は、例えば、CPU、ROMおよびRAM等を備える。CPUは、ROMおよびRAM等の記憶装置に格納されているプログラムに基づいて、所定の制御処理や演算処理を実行する。
[Control unit]
For example, the control unit 201 controls each unit of the ophthalmologic information processing server 200. The control unit 201 includes, for example, a CPU, a ROM, a RAM, and the like. The CPU executes predetermined control processing and arithmetic processing based on a program stored in a storage device such as a ROM and a RAM.

[通信部]
 通信部202は、ネットワークNを介して、ユーザ端末100A、100B及び100C(を含む複数のユーザー端末)のそれぞれとの間でデータ通信を行う。このデータ通信には、各ユーザ端末100に向けてデータを送信する処理と、各ユーザ端末から送信されたデータを受信する処理とが含まれる。通信部202は、ネットワークNに準拠した構成を有し、例えばモデム等の通信機器を含む。
[Communication Department]
The communication unit 202 performs data communication with each of the user terminals 100A, 100B, and 100C (including a plurality of user terminals) via the network N. This data communication includes a process for transmitting data to each user terminal 100 and a process for receiving data transmitted from each user terminal. The communication unit 202 has a configuration conforming to the network N and includes a communication device such as a modem.

[情報記憶部]
 情報記憶部210は、例えば、各ユーザ端末100から送信された多数の医療情報などを記憶する。例えば、年齢、性別、人種、疾病の異なる多数の患者の医療情報が記憶される。情報記憶部210に蓄積された多数の医療情報は、データベースの作成などに利用される。
[Information storage unit]
The information storage unit 210 stores a large number of medical information transmitted from each user terminal 100, for example. For example, medical information of a large number of patients with different ages, genders, races, and diseases is stored. A large amount of medical information accumulated in the information storage unit 210 is used to create a database.

[解析処理部]
 解析処理部220は、画像データ等を含む医療情報に各種の解析処理を施す。解析処理部220は、例えば、医療情報に関連するデータベースをデータベース記憶部223から取得し、そのデータベースに基づいて医療情報の解析を行う。
[Analysis processing section]
The analysis processing unit 220 performs various analysis processes on medical information including image data and the like. For example, the analysis processing unit 220 acquires a database related to medical information from the database storage unit 223 and analyzes the medical information based on the database.

[データベース作成部]
 データベース作成部226は、例えば、ユーザ端末から受信したDB作成指示に基づいてデータベースを作成する。データベース作成部226は、DB作成指示において指定された作成項目に関連する医療情報を情報記憶部210から収集し、データベースを作成する。例えば、データベース作成部226は、眼科装置により複数の被検眼について得られた複数の画像データに画像解析処理を施して複数の解析結果データを取得し、これら解析結果データを統計的に処理することでデータベースを生成する。データベースは、医療情報の解析などに利用される。
[Database creation section]
For example, the database creation unit 226 creates a database based on a DB creation instruction received from a user terminal. The database creation unit 226 collects medical information related to the creation item specified in the DB creation instruction from the information storage unit 210 and creates a database. For example, the database creation unit 226 performs image analysis processing on a plurality of image data obtained for a plurality of eyes to be examined by an ophthalmologic apparatus to obtain a plurality of analysis result data, and statistically processes the analysis result data. Generate a database with The database is used for analysis of medical information.

[データベース記憶部]
 データベース記憶部223には、データベース作成部226によって作成されたデータベースが記憶されている。データベースには、複数の解析結果データの代表値(平均値、中央値等)、または、ばらつき情報(標準偏差、分散等)が含まれる。データベースの例として、正常眼の眼底の所定の層の厚さをデータベース化した正常眼データベース等がある。
[Database storage unit]
The database storage unit 223 stores a database created by the database creation unit 226. The database includes representative values (average value, median value, etc.) of a plurality of analysis result data, or variation information (standard deviation, variance, etc.). An example of the database is a normal eye database in which the thickness of a predetermined layer of the fundus of a normal eye is converted into a database.

[更新処理部]
 更新処理部225は、眼科装置により得られた新たな医療情報に基づく解析情報に基づいて、データベース記憶部223に記憶されているデータベースを更新する。新たな医療情報又は解析情報は、例えば、通信部202を介して眼科情報処理サーバ200に入力される。なお、新たな医療情報が入力される場合、解析処理部220が医療情報から解析情報を生成する。
[Update processing section]
The update processing unit 225 updates the database stored in the database storage unit 223 based on analysis information based on new medical information obtained by the ophthalmologic apparatus. New medical information or analysis information is input to the ophthalmologic information processing server 200 via the communication unit 202, for example. When new medical information is input, the analysis processing unit 220 generates analysis information from the medical information.

 更新処理部225は、現在のデータベースに新たな解析情報を反映させてもよいし、現在のデータベースを新たなデータベースで置換してもよい。 The update processing unit 225 may reflect new analysis information in the current database, or replace the current database with a new database.

{動作}
 眼科情報処理システム1の動作について説明する。以下ではユーザ端末100Aが処理を行う場合について説明しているが、任意のユーザ端末100が同様の処理を行ってもよい。
{Action}
The operation of the ophthalmologic information processing system 1 will be described. Although the case where the user terminal 100A performs processing is described below, any user terminal 100 may perform similar processing.

[データベースのカスタマイズ]
 まず、実施例に係る眼科情報処理システム1において、指定された作成項目に基づいてデータベースを作成する動作について説明する。図4は、データベースを作成するときのフローチャートである。なお、以下の例では、データベースを作成するための医療情報として、眼科情報を用いた場合を説明する。しかしながら、データベースの作成には眼科情報だけに限らず、その他の医療情報が用いられてもよい。
Database customization
First, an operation for creating a database based on a designated creation item in the ophthalmologic information processing system 1 according to the embodiment will be described. FIG. 4 is a flowchart for creating a database. In the following example, a case where ophthalmic information is used as medical information for creating a database will be described. However, the creation of the database is not limited to ophthalmic information, and other medical information may be used.

(ステップS1:作成項目の選択)
 ユーザは、ユーザ端末100Aを用いてデータベースの作成項目を選択する。そのため、制御部101は、所定のユーザーインターフェイスを表示部104に表示させる。ユーザーインターフェイスは、例えば、作成項目のリスト表示、プルダウンメニュー表示、アイコン表示などである。ユーザは、ユーザーインターフェイス及び操作部106などを用いて、データベースの作成項目を選択する操作を行う。ユーザは、例えば、年齢、性別、地域、人種、病名、症状、撮影部位等をデータベースの作成項目として選択する。
(Step S1: Selection of creation item)
The user selects a database creation item using the user terminal 100A. Therefore, the control unit 101 causes the display unit 104 to display a predetermined user interface. The user interface is, for example, a list display of created items, a pull-down menu display, an icon display, or the like. The user performs an operation of selecting a database creation item using the user interface and the operation unit 106. For example, the user selects age, sex, region, race, disease name, symptom, imaging region, and the like as creation items of the database.

(ステップS2:作成項目の指定)
 項目指定部107は、操作部106によって受け付けたユーザの選択に基づき、データベースの作成項目を指定する。例えば、ユーザによって、年齢と病名が選択されると、項目指定部107は、作成項目として年齢と病名を指定する。
(Step S2: Specification of creation item)
The item designation unit 107 designates a database creation item based on the user selection received by the operation unit 106. For example, when the age and disease name are selected by the user, the item designating unit 107 designates the age and disease name as the creation items.

(ステップS3:作成指示の送信)
 制御部101は、通信部102を制御して、ステップS2で指定された作成項目、およびユーザ端末を識別するための端末IDなどを含むDB作成指示を眼科情報処理サーバ200に送信させる。
(Step S3: Transmission of creation instruction)
The control unit 101 controls the communication unit 102 to cause the ophthalmologic information processing server 200 to transmit a DB creation instruction including the creation item specified in step S2 and a terminal ID for identifying the user terminal.

(ステップS4:作成指示の受信)
 眼科情報処理サーバ200の通信部202は、ユーザ端末100Aから送信されたDB作成指示を受信する。
(Step S4: Reception of creation instruction)
The communication unit 202 of the ophthalmologic information processing server 200 receives the DB creation instruction transmitted from the user terminal 100A.

(ステップS5:データベースの作成)
 眼科情報処理サーバ200は、ユーザ端末100Aから受信したDB作成指示に対応するデータベースを作成する。例えば、データベース作成部226は、DB作成指示において指定された作成項目に基づいて、情報記憶部210から該当する眼科情報を収集し、データベースを作成する。
(Step S5: Database creation)
The ophthalmologic information processing server 200 creates a database corresponding to the DB creation instruction received from the user terminal 100A. For example, the database creation unit 226 collects corresponding ophthalmic information from the information storage unit 210 based on the creation item specified in the DB creation instruction, and creates a database.

(ステップS6:データベースの送信)
 制御部201は、ステップS4で受信された端末IDに基づいてユーザ端末100のアドレス(IPアドレス等)を取得する。ここで、眼科情報処理サーバ200(例えば情報記憶部210)には、端末IDとアドレスとを対応付けた情報があらかじめ記憶されており、制御部201はこの情報を参照して目的のアドレスを特定する。なお、端末IDを参照する代わりに、ステップS3、S4の送受信処理で使用されたユーザ端末100Aのアドレスを返信先として用いるようにしてもよい。制御部201は、取得されたアドレスにデータベースを送信する。
(Step S6: Database transmission)
The control unit 201 acquires the address (IP address or the like) of the user terminal 100 based on the terminal ID received in step S4. Here, in the ophthalmologic information processing server 200 (for example, the information storage unit 210), information in which a terminal ID is associated with an address is stored in advance, and the control unit 201 specifies a target address with reference to this information. To do. Instead of referring to the terminal ID, the address of the user terminal 100A used in the transmission / reception processing in steps S3 and S4 may be used as a reply destination. The control unit 201 transmits the database to the acquired address.

(ステップS7:データベースの受信)
 ユーザ端末100の通信部102は、眼科情報処理サーバ200から送信されたデータベースを受信する。
(Step S7: Database reception)
The communication unit 102 of the user terminal 100 receives the database transmitted from the ophthalmologic information processing server 200.

(ステップS8:データベースを用いた解析)
 ユーザ端末100Aの制御部101は、通信部102が受信したデータベースを記憶部103に記憶させる。制御部101は、記憶部103に記憶されたデータベースを用いて、画像データの解析を行う。
(Step S8: Analysis using database)
The control unit 101 of the user terminal 100A causes the storage unit 103 to store the database received by the communication unit 102. The control unit 101 analyzes image data using a database stored in the storage unit 103.

 例えば、制御部101は、疾病ごとに分類された眼科情報によって作成された疾病眼データベースを用いて解析を行うことができる。この場合、例えば、解析対象とする眼底画像において、各位置の疾病の種類とその確率を色分けして表現したカラーマップ画像を作成してもよい(図5参照)。ユーザは、このカラーマップ画像によって、被検眼の各部位においてどの疾病にかかっている可能性があるのかを容易に把握することができる。また、制御部101は、解析対象とする画像に基づいて、各疾病が発症している確率をグラフ化してもよい。 For example, the control unit 101 can perform analysis using a diseased eye database created based on ophthalmic information classified for each disease. In this case, for example, in the fundus image to be analyzed, a color map image in which the type of disease at each position and the probability thereof are color-coded may be created (see FIG. 5). From this color map image, the user can easily grasp which disease is likely to occur in each part of the eye to be examined. Moreover, the control part 101 may graph the probability that each disease has developed based on the image to be analyzed.

 また、別の解析の例として、疾病のステージ(重症度)ごとのデータベースを作成した場合、制御部101は、画像データに基づいて、どのステージに該当するかを確率で表示してもよい。 As another example of analysis, when a database for each disease stage (severity) is created, the control unit 101 may display which stage corresponds to the probability based on the image data.

(ステップS9:解析結果表示)
 表示制御部105は、ステップS8の解析結果を表示部104に表示させる。
(Step S9: Analysis result display)
The display control unit 105 causes the display unit 104 to display the analysis result of step S8.

 以上のように、本実施例の眼科情報処理システム1は、ネットワークによって収集された多数の眼科情報に基づいて、様々な項目に分類されたデータベースを作成できる。例えば、同じ疾病の眼に関する検査結果を収集してデータベースを作成することで病気におけるステージ分類などを行える。したがって、従来のように、被検眼が正常眼か否かだけでなく、病名または病気の進行具合などを診断する場合にも、過去に取得された眼科情報を有効に活用することができる。また、病名での分類だけでなく、年齢、性別、人種、地域等の患者情報に基づいてデータベースを分類することによって、より有効な情報を得ることができる。 As described above, the ophthalmologic information processing system 1 according to the present embodiment can create a database classified into various items based on a large number of ophthalmologic information collected by the network. For example, it is possible to classify stages of diseases by collecting test results on eyes having the same disease and creating a database. Accordingly, not only whether or not the eye to be examined is a normal eye as in the prior art, but also when diagnosing the disease name or the progression of disease, etc., the ophthalmic information acquired in the past can be used effectively. Further, more effective information can be obtained by classifying the database based on patient information such as age, sex, race, region, etc. in addition to classification by disease name.

 また、以上のように、ユーザが操作部106等で入力した指示に応じてデータベースを作成されるため、データベース記憶部223には記憶されていない分類のデータベースであっても、情報記憶部210に蓄積された眼科情報からユーザが所望するデータベースをリアルタイムで作成することができる。例えば、ユーザは、様々なデータベースを作成することで医療の研究に役立てたり、各患者に適したデータベースを作成することで診断精度を向上させたりすることができる。 In addition, as described above, since a database is created in accordance with an instruction input by the user using the operation unit 106 or the like, even if the database is a classification database that is not stored in the database storage unit 223, the information storage unit 210 A database desired by the user can be created in real time from the accumulated ophthalmologic information. For example, the user can make use of it for medical research by creating various databases, or improve the diagnostic accuracy by creating a database suitable for each patient.

 なお、以上の例では、ユーザが操作部106によってデータベースの作成項目を指定したが、これに限らない。例えば、項目指定部107が自動でデータベースの作成項目を指定してもよい。例えば、項目指定部107は、ユーザ端末100から解析対象として送信された眼科情報に基づいて、関連性があると判断される項目を自動で指定し、データベースの作成を指示してもよい。例えば、項目指定部107は、被検眼の画像データを解析して得られた所見データに基づいて、該当する疾病のデータベースの作成項目を指定してもよい。また、項目指定部107は、患者の年齢、性別、人種、地域等の項目を指定することによってさらに分類されたデータベースの作成を指示してもよい。また、項目指定部107は、情報記憶部210に蓄積された多数の眼科情報の特徴に基づいて自動でデータベースの作成項目を指定してもよい。このように、項目指定部107が自動で作成項目を指定することによって、ユーザが作成項目を指定しなくとも、必要とされるデータベースが自動で利用可能となる。 In the above example, the user specifies a database creation item using the operation unit 106, but the present invention is not limited to this. For example, the item specifying unit 107 may automatically specify a database creation item. For example, the item specifying unit 107 may automatically specify an item that is determined to be relevant based on ophthalmologic information transmitted as an analysis target from the user terminal 100 and instruct the creation of a database. For example, the item designating unit 107 may designate the creation item of the corresponding disease database based on the findings data obtained by analyzing the image data of the eye to be examined. The item designating unit 107 may instruct the creation of a further classified database by designating items such as the age, sex, race, and region of the patient. Further, the item specifying unit 107 may automatically specify a database creation item based on the characteristics of a large number of ophthalmologic information accumulated in the information storage unit 210. As described above, the item designating unit 107 automatically designates a creation item, so that a required database can be automatically used even if the user does not designate the creation item.

 なお、以上の実施例では、眼科情報処理サーバ200からデータベースを受信(ダウンロード)して、ユーザ端末100上で解析処理を行うものとしたが、眼科情報処理サーバ200上で解析処理を行ってもよい。この場合、ユーザ端末100は、眼科情報処理サーバ200に解析対象とする眼科情報を送信し、眼科情報処理サーバ200は、受信した眼科情報を解析処理して得られた解析結果をユーザ端末100に送信する。 In the above embodiment, the database is received (downloaded) from the ophthalmic information processing server 200 and the analysis processing is performed on the user terminal 100. However, the analysis processing may be performed on the ophthalmic information processing server 200. Good. In this case, the user terminal 100 transmits ophthalmologic information to be analyzed to the ophthalmologic information processing server 200, and the ophthalmologic information processing server 200 sends the analysis result obtained by analyzing the received ophthalmic information to the user terminal 100. Send.

 なお、眼科情報処理サーバ200は、情報記憶部210において、指定された作成項目に関する眼科情報が少ない場合、データベースの作成をしなくてもよい。この場合、情報不足によりデータベースの作成ができない旨のエラー信号をユーザ端末100に送信してもよい。ユーザ端末100はエラー信号を受け取ると、表示部104にその旨を表示し、ユーザに報知してもよい。また、ユーザ端末100は、足りない情報を眼科情報処理サーバ200に送るように促すメッセージをユーザに通知してもよい。メッセージを受け取ったユーザは、不足している情報を眼科装置等によって取得し、積極的に眼科情報処理サーバ200に送ることで、データベースが作成可能となり、眼科情報の活用が促される。 Note that the ophthalmologic information processing server 200 does not need to create a database when there is little ophthalmologic information regarding the designated creation item in the information storage unit 210. In this case, an error signal indicating that the database cannot be created due to insufficient information may be transmitted to the user terminal 100. When the user terminal 100 receives the error signal, the user terminal 100 may display the fact on the display unit 104 to notify the user. In addition, the user terminal 100 may notify the user of a message that prompts the user to send the missing information to the ophthalmologic information processing server 200. The user who has received the message acquires the missing information by the ophthalmologic apparatus or the like and actively sends it to the ophthalmologic information processing server 200, thereby making it possible to create a database and prompting the utilization of ophthalmologic information.

 もちろん、眼科情報処理サーバ200は、指定された作成項目に関する眼科情報が少ない場合であってもデータベースを作成してもよい。この場合は、データベース作成に用いたデータ数が少ない旨をユーザに警告してもよい。 Of course, the ophthalmologic information processing server 200 may create a database even when there is little ophthalmologic information regarding the designated creation item. In this case, the user may be warned that the number of data used for database creation is small.

[データベースの正規化]
 なお、眼科情報処理サーバ200は、正規化処理部222を備えてもよい(図3および図6参照)。例えば、各医療施設A,B,Cにおいて、それぞれ異なるメーカの眼科装置が用いられているとする。この場合、眼科情報処理サーバ200は、各医療施設のユーザ端末A,B,Cから受信した眼科情報を正規化処理部222によって正規化し、正規化された眼科情報に基づいて正規化データベースDB0を作成してもよい。これによって、装置に種類に依存しないデータベースを作成することができる。
Database normalization
The ophthalmologic information processing server 200 may include a normalization processing unit 222 (see FIGS. 3 and 6). For example, it is assumed that ophthalmic devices from different manufacturers are used in the medical facilities A, B, and C, respectively. In this case, the ophthalmologic information processing server 200 normalizes ophthalmologic information received from the user terminals A, B, and C of each medical facility by the normalization processing unit 222, and creates a normalization database DB0 based on the normalized ophthalmologic information. You may create it. This makes it possible to create a database that does not depend on the type of apparatus.

 例えば、ユーザ端末100から眼科情報処理サーバ200に眼科情報が送信される際に、ユーザ端末100によって眼科情報に装置情報が付与される。正規化処理部222は、ユーザ端末100によって付与された装置情報に基づいて、ユーザ端末100から受信された眼科情報を各装置の仕様に応じて正規化する。また、データベースをユーザ端末100に送信する際は、例えば、各ユーザ端末100と装置情報が対応づけられた対応情報に基づいて、正規化データベースDB0を各装置の仕様に対応するデータベースに変換する。これによって、各施設で異なるメーカの装置が使用されている場合であっても、眼科情報をデータベースとして共有し、施設間で有効に活用することができる。 For example, when ophthalmic information is transmitted from the user terminal 100 to the ophthalmologic information processing server 200, device information is added to the ophthalmic information by the user terminal 100. The normalization processing unit 222 normalizes the ophthalmologic information received from the user terminal 100 according to the specifications of each device based on the device information given by the user terminal 100. Further, when transmitting the database to the user terminal 100, for example, the normalized database DB0 is converted into a database corresponding to the specification of each device based on correspondence information in which each user terminal 100 is associated with device information. As a result, even when devices of different manufacturers are used in each facility, ophthalmic information can be shared as a database and effectively utilized between facilities.

[データベースの更新]
 データベースを更新する処理について説明する。
Update database
Processing for updating the database will be described.

 眼科情報処理サーバ200に新たな眼科情報が入力された場合、制御部201は、新たな眼科情報を更新処理部255に送る。更新処理部255は、新たな眼科情報に基づいて、データベース記憶部223に記憶されているデータベースを更新する。 When new ophthalmic information is input to the ophthalmologic information processing server 200, the control unit 201 sends new ophthalmic information to the update processing unit 255. The update processing unit 255 updates the database stored in the database storage unit 223 based on the new ophthalmologic information.

 データベース記憶部223には、眼科装置によって複数の被検眼について得られた複数の眼科情報に解析処理を施して得られた複数の解析情報を統計的に処理することによって生成されたデータベースが記憶されている。更新処理部225は、眼科装置によって得られた新たな画像データに基づく解析情報に基づいて、データベース記憶部223に記憶されているデータベースを更新する。 The database storage unit 223 stores a database generated by statistically processing a plurality of pieces of analysis information obtained by performing analysis processing on a plurality of pieces of ophthalmologic information obtained for a plurality of eyes to be examined by the ophthalmologic apparatus. ing. The update processing unit 225 updates the database stored in the database storage unit 223 based on analysis information based on new image data obtained by the ophthalmologic apparatus.

 なお、眼科情報処理サーバ200は、判定部221を備えてもよい(図3参照)。例えば、判定部221は、新たな眼科情報を受信した場合、データベース記憶部223に記憶されたデータベースと比較して、新たな眼科情報が適正なデータであるか判定してもよい。例えば、判定部221は、新たな眼科情報がデータベース記憶部223に記憶されたデータベースと著しく異なる場合、新たな眼科情報は適正ではないと判定し、データベースの更新に用いないようにしてもよい。これによって、検査ミス等による誤った眼科情報を受信した場合であっても、データベースの有効性が損なわれることを抑制できる。 The ophthalmologic information processing server 200 may include a determination unit 221 (see FIG. 3). For example, when receiving new ophthalmic information, the determination unit 221 may determine whether the new ophthalmic information is appropriate data as compared with a database stored in the database storage unit 223. For example, when the new ophthalmic information is significantly different from the database stored in the database storage unit 223, the determining unit 221 may determine that the new ophthalmic information is not appropriate and may not use it for updating the database. Thereby, even when erroneous ophthalmologic information due to an inspection error or the like is received, it is possible to prevent the validity of the database from being impaired.

 また、判定部221は、レビュー情報に基づいて、眼科情報が適正なデータであるか否かを判定してもよい。例えば、眼科情報処理サーバ200は、ある医療施設Aで使用されるユーザ端末100Aによって送信された眼科情報を、別の医療施設Bで使用されるユーザ端末100Bに送信し、眼科情報の有効性についてのレビュー情報を取得してもよい。例えば、制御部201は、ユーザ端末100Aから受信した検査データおよび診断結果を、ユーザ端末100Bに送信する。ユーザ端末100Bのユーザは、受信した検査データおよび診断結果についての適否を操作部106によって入力する。制御部101は、入力に基づくレビュー情報を通信部102によって眼科情報処理サーバ200に送信する。判定部221は、ユーザ端末100Bから受信したレビュー情報に基づいて、ユーザ端末100Aからの眼科情報の適否を判定する。このように、他の医療施設において眼科情報の有効性を確認することで、データベースの有効性が保証される。 Also, the determination unit 221 may determine whether or not the ophthalmic information is appropriate data based on the review information. For example, the ophthalmologic information processing server 200 transmits the ophthalmic information transmitted by the user terminal 100A used in a certain medical facility A to the user terminal 100B used in another medical facility B, and the effectiveness of the ophthalmic information is confirmed. Review information may be acquired. For example, the control unit 201 transmits inspection data and diagnosis results received from the user terminal 100A to the user terminal 100B. The user of the user terminal 100B inputs the suitability of the received examination data and diagnosis result through the operation unit 106. The control unit 101 transmits review information based on the input to the ophthalmologic information processing server 200 through the communication unit 102. The determination unit 221 determines the suitability of ophthalmic information from the user terminal 100A based on the review information received from the user terminal 100B. In this manner, the validity of the database is guaranteed by confirming the validity of the ophthalmologic information in other medical facilities.

[網膜構造の予測]
 なお、解析処理部110、または解析処理部220は、特徴データベースを利用して網膜構造がどのように変化するかを予測してもよい。特徴データベースは、例えば、網膜の厚み情報だけでなく、疾患の特徴もデータベース化したものである。特徴データベースの作成には、例えば、機械学習が利用される。機械学習アルゴリズムとしては、例えば、ニューラルネットワーク、ランダムフォレスト、ブースティング、サポートベクターマシン(SVM)等が挙げられる。予測された網膜構造を、ディープラーニングを用いて画像化する方法としては、例えば、DCGAN(Deep Convolutional Generative Adversarial Networks)という手法が利用できる。例えば、解析処理部110,220は、フォローアップにおいて、過去の解析情報から機械学習(または単純な線形回帰)で予測した解析情報をもとにDCGANで網膜構造を画像化する。
[Prediction of retinal structure]
Note that the analysis processing unit 110 or the analysis processing unit 220 may predict how the retinal structure changes using the feature database. The feature database is, for example, a database of not only retinal thickness information but also disease features. For example, machine learning is used to create the feature database. Examples of the machine learning algorithm include a neural network, random forest, boosting, support vector machine (SVM), and the like. As a method for imaging the predicted retinal structure using deep learning, for example, a technique called DCGAN (Deep Convolutional Generative Adversarial Networks) can be used. For example, in the follow-up, the analysis processing units 110 and 220 image the retinal structure with DCGAN based on the analysis information predicted from the past analysis information by machine learning (or simple linear regression).

 また、眼科情報処理システム1は、体の他のパラメータから自動的に予測網膜構造をユーザに提示してもよい。例えば、眼以外の体の他のパラメータとの関連性をデータベース化し、体の他のパラメータに基づいて眼疾患のリスクを提示してもよい。例えば、血圧が高い患者に対して、糖尿病網膜症になった場合の予測網膜構造を提示するようにしてもよい。 Also, the ophthalmologic information processing system 1 may automatically present the predicted retinal structure to the user from other parameters of the body. For example, it is possible to create a database of associations with other parameters of the body other than the eye, and present the risk of eye diseases based on the other parameters of the body. For example, a predicted retinal structure in the case of diabetic retinopathy may be presented to a patient with high blood pressure.

 なお、解析処理部110または解析処理部220は、統計的な解析(主成分分析や回帰分析)によって疾患の要因を解析してもよい。例えば、解析処理部110,220は、患者の年齢,性別等の情報、または画像解析によって得られた多数のパラメータの中から、どのパラメータが疾患との相関が強いかを自動で解析することによって、疾患の要因を解析してもよい。解析された要因は、疾患の研究等に役立つ可能性がある。 Note that the analysis processing unit 110 or the analysis processing unit 220 may analyze the cause of the disease by statistical analysis (principal component analysis or regression analysis). For example, the analysis processing units 110 and 220 automatically analyze which parameter has a strong correlation with the disease from among many parameters obtained by image analysis, such as information on the age and sex of the patient. The cause of the disease may be analyzed. The analyzed factors may be useful for disease research and the like.

 1  眼科情報処理システム
 100 ユーザ端末
 101 制御部
 102 通信部
 103 記憶部
 104 表示部
 106 操作部
 107  項目指定部
 110  解析処理部
 150  院内サーバ
 200  眼科情報処理サーバ
 201  制御部
 202  通信部
 210  情報記憶部
 220  解析処理部
 221  判定部
 222  正規化処理部
 223  データベース記憶部
 225  更新処理部
 226  データベース作成部
 A,B,C 医療施設
 D  データセンタ
 N  ネットワーク
DESCRIPTION OF SYMBOLS 1 Ophthalmic information processing system 100 User terminal 101 Control part 102 Communication part 103 Storage part 104 Display part 106 Operation part 107 Item designation part 110 Analysis processing part 150 Hospital server 200 Ophthalmology information processing server 201 Control part 202 Communication part 210 Information storage part 220 Analysis processing unit 221 Judgment unit 222 Normalization processing unit 223 Database storage unit 225 Update processing unit 226 Database creation unit A, B, C Medical facility D Data center N Network

Claims (13)

 ネットワークを介して、相互に通信可能なユーザ端末とサーバからなる眼科情報処理システムであって、
 前記ユーザ端末は、
 前記サーバによって作成されるデータベースの作成項目を指定する指定手段と、
 前記指定手段によって指定された前記作成項目を、前記ネットワークを介して前記サーバへ送信する第1送信手段と、を有し、
 前記サーバは、
 前記ユーザ端末から送信された前記作成項目を受信する受信手段と、
 前記作成項目に対応する前記データベースを作成する作成手段と、
を有することを特徴とする眼科情報処理システム。
An ophthalmologic information processing system comprising a user terminal and a server that can communicate with each other via a network,
The user terminal is
A designation means for designating a database creation item created by the server;
First creation means for sending the creation item designated by the designation means to the server via the network;
The server
Receiving means for receiving the creation item transmitted from the user terminal;
Creating means for creating the database corresponding to the created item;
An ophthalmologic information processing system characterized by comprising:
 前記サーバは、前記作成手段によって作成された前記データベースを、前記ネットワークを介して前記ユーザ端末へ送信する第2送信手段をさらに備えることを特徴とする請求項1の眼科情報処理システム。 2. The ophthalmologic information processing system according to claim 1, wherein the server further comprises second transmission means for transmitting the database created by the creation means to the user terminal via the network.  前記ユーザ端末は、ユーザの操作を受け付ける操作手段を備え、
 前記指定手段は、前記操作手段によって出力された操作信号に基づいて、前記作成項目を指定することを特徴とする請求項1または2の眼科情報処理システム。
The user terminal includes an operation means for receiving a user operation,
3. The ophthalmologic information processing system according to claim 1, wherein the designation unit designates the creation item based on an operation signal output by the operation unit.
 前記指定手段は、前記ユーザ端末から受信した医療情報に基づいて、自動で前記作成項目を指定することを特徴とする請求項1または2の眼科情報処理システム。 The ophthalmologic information processing system according to claim 1 or 2, wherein the designating unit automatically designates the creation item based on medical information received from the user terminal.  前記ユーザ端末は、
 患者の医療情報を取得する取得手段さらに備え、前記取得手段によって取得された前記医療情報を前記第1送信手段によって前記サーバへ送信し、
 前記サーバは、
 前記ユーザ端末から送信された前記医療情報を前記受信手段によって受信し、
 前記医療情報に基づいて前記データベースを作成することを特徴とする請求項1または2の眼科情報処理システム。
The user terminal is
An acquisition means for acquiring medical information of a patient; and transmitting the medical information acquired by the acquisition means to the server by the first transmission means;
The server
Receiving the medical information transmitted from the user terminal by the receiving means;
3. The ophthalmologic information processing system according to claim 1, wherein the database is created based on the medical information.
 前記サーバは、前記ユーザ端末から受信した前記医療情報の適否を判定する判定手段をさらに備え、
 前記作成手段は、前記判定手段によって前記医療情報が適していると判定された場合、前記医療情報に基づいて前記データベースを更新し、前記判定手段によって前記医療情報が適していないと判定された場合、前記医療情報に基づく前記データベースの更新をしないことを特徴とする請求項4または5の眼科情報処理システム。
The server further comprises determination means for determining the suitability of the medical information received from the user terminal,
The creation unit updates the database based on the medical information when the determination unit determines that the medical information is suitable, and the determination unit determines that the medical information is not suitable The ophthalmologic information processing system according to claim 4 or 5, wherein the database is not updated based on the medical information.
 前記ユーザ端末は、第1および第2の複数のユーザ端末であって、
 前記サーバは、第1ユーザ端末によって取得された前記医療情報に関するレビュー情報を第2ユーザ端末から受信し、
 前記判定手段は、前記レビュー情報に基づいて、前記医療情報の適否を判定することを特徴とする請求項6の眼科情報処理システム。
The user terminals are first and second user terminals,
The server receives review information about the medical information acquired by the first user terminal from the second user terminal,
The ophthalmologic information processing system according to claim 6, wherein the determination unit determines whether or not the medical information is appropriate based on the review information.
 前記ユーザ端末から送信される前記医療情報を正規化する正規化手段をさらに備え、
 前記作成手段は、前記正規化手段によって正規化された前記医療情報に基づいて前記データベースを作成することを特徴とする請求項4~7のいずれかの眼科情報処理システム。
Further comprising normalization means for normalizing the medical information transmitted from the user terminal,
8. The ophthalmologic information processing system according to claim 4, wherein the creating unit creates the database based on the medical information normalized by the normalizing unit.
 前記データベースに基づいて、被検眼の今後の網膜形状を予測する形状予測手段をさらに備えることを特徴とする請求項4~8のいずれかの眼科情報処理システム。 The ophthalmologic information processing system according to any one of claims 4 to 8, further comprising shape prediction means for predicting a future retinal shape of the eye to be examined based on the database.  前記形状予測手段は、機械学習によって訓練されたアルゴリズムを用いて前記網膜形状を予測することを特徴とする請求項9の眼科情報処理システム。 10. The ophthalmologic information processing system according to claim 9, wherein the shape predicting means predicts the retinal shape using an algorithm trained by machine learning.  前記データベースは、正常眼の医療情報に基づく正常眼データベース、および疾病眼の医療情報に基づく疾病眼データベースのうち、少なくともいずれかであることを特徴とする請求項1の眼科情報処理システム。 The ophthalmologic information processing system according to claim 1, wherein the database is at least one of a normal eye database based on normal eye medical information and a disease eye database based on sick eye medical information.  前記医療情報は、被検眼の眼科検査情報、眼科診断情報、および被検眼情報の少なくともいずれかを含む眼科情報であることを特徴とする請求項4~10のいずれかの眼科情報処理システム。 The ophthalmologic information processing system according to any one of claims 4 to 10, wherein the medical information is ophthalmologic information including at least one of ophthalmic examination information, ophthalmic diagnosis information, and eye information to be examined.  前記作成項目は、患者の年齢、性別、人種、地域、検査日時および病名の少なくともいずれかであることを特徴とする請求項1~12のいずれかの眼科情報処理システム。 13. The ophthalmologic information processing system according to claim 1, wherein the created item is at least one of a patient's age, sex, race, region, examination date and disease name.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020250922A1 (en) * 2019-06-10 2020-12-17 株式会社トプコン Ophthalmic device
JP2021079042A (en) * 2019-11-22 2021-05-27 キヤノン株式会社 Image processing device, image processing method, and program
JP2022515378A (en) * 2018-12-21 2022-02-18 エシロール・アンテルナシオナル Methods and equipment for building models to predict the evolution of visual acuity-related parameters over time

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012141240A1 (en) * 2011-04-13 2012-10-18 興和株式会社 Campimeter

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5694199A (en) 1995-09-27 1997-12-02 Rodriguez; Edgar R. Method and apparatus for performing automated vision performance tests
JP2014527434A (en) 2011-08-09 2014-10-16 オプトビュー,インコーポレーテッド Feature motion correction and normalization in optical coherence tomography
JP6594033B2 (en) 2015-05-14 2019-10-23 キヤノン株式会社 Image processing apparatus, image processing method, and program
JP6074455B2 (en) 2015-05-14 2017-02-01 キヤノン株式会社 DIAGNOSIS SUPPORT DEVICE, DIAGNOSIS SUPPORT DEVICE CONTROL METHOD, PROGRAM, AND DIAGNOSIS SUPPORT SYSTEM

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012141240A1 (en) * 2011-04-13 2012-10-18 興和株式会社 Campimeter

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022515378A (en) * 2018-12-21 2022-02-18 エシロール・アンテルナシオナル Methods and equipment for building models to predict the evolution of visual acuity-related parameters over time
WO2020250922A1 (en) * 2019-06-10 2020-12-17 株式会社トプコン Ophthalmic device
JP2021079042A (en) * 2019-11-22 2021-05-27 キヤノン株式会社 Image processing device, image processing method, and program
JP7254682B2 (en) 2019-11-22 2023-04-10 キヤノン株式会社 Image processing device, image processing method, and program

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