WO2012141240A1 - 視野計 - Google Patents
視野計 Download PDFInfo
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- WO2012141240A1 WO2012141240A1 PCT/JP2012/059997 JP2012059997W WO2012141240A1 WO 2012141240 A1 WO2012141240 A1 WO 2012141240A1 JP 2012059997 W JP2012059997 W JP 2012059997W WO 2012141240 A1 WO2012141240 A1 WO 2012141240A1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/0016—Operational features thereof
- A61B3/0025—Operational features thereof characterised by electronic signal processing, e.g. eye models
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/024—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for determining the visual field, e.g. perimeter types
Definitions
- the present invention relates to a perimeter capable of storing a visual field measurement result as a data base.
- a device disclosed in Patent Document 1 is known as a device for storing measurement results of ophthalmic devices such as a perimeter, a tonometer, and an optometry device as a database.
- Patent Document 1 what is shown in Patent Document 1 is simply a collection of measurement data for each eye to be examined (patient). Based on the measurement results of a large number of eyes to be examined, normal eyes (normal eyes) and glaucoma eyes ( It is not a statistical summary of the visual field status (including normal) of the subject eye such as glaucomatous eyes. Therefore, it was not possible to evaluate the measurement results using these databases and determine the medical condition of the eye to be examined.
- the present invention generates a database in an appropriate external database device in the apparatus or via a communication line such as the Internet in such a manner that the visual field measurement results of the eye to be examined are accumulated by disease state (including normal), and the eye to be examined
- the purpose is to provide a perimeter that can be used for diagnosis of the patient.
- a first aspect of the present invention is a perimeter (2) having visual field measuring means (13) for measuring a visual field of an eye to be examined and outputting the result as a measurement result (MR).
- the perimeter is A measurement database memory (17) that stores a measurement result related to normal eyes among a plurality of measurement results of past visual field measurements as a database (DB1) related to normal eyes, Normal eye data determination means (16) for determining whether or not the measurement result (MR) of the eye to be examined can be used as the measurement result of the normal eye; When the normal eye data determination means determines that the measurement result can be used as the normal eye measurement result, the measurement result is used as the database search attribute data (for example, the age of the subject of the eye to be examined).
- Database management means for performing additional processing on the normal eye database (DB1) together with data such as sex, race, visual acuity, refractive index, disease name, residential area, examination date and time), It is comprised.
- the perimeter of the present invention can be configured by incorporating a computer function into the perimeter main body, or can be configured by connecting a measuring unit of the perimeter and a commercially available personal computer.
- the measurement database memory (17) stores a database relating to glaucomatous eyes in addition to the database relating to the normal eye, and a plurality of measurement results of past visual field measurements are stored in the normal eye.
- a measurement database Stored as a measurement database (MDB) in a form divided into a database (DB1) and a database (DB2) about glaucoma eyes, It is characterized by this.
- a third aspect of the present invention has a sensitivity distribution memory for storing sensitivity distribution data (DA1) indicating the sensitivity distribution of the eye to be examined at each measurement point in the visual field measurement for the normal eye,
- the normal eye data determination means (16) determines whether or not the measurement result can be used as the measurement result of the normal eye, and the measurement result is the highest in the sensitivity distribution data (DA1) above the lowest sensitivity region. It is determined whether or not included in the intermediate sensitivity region below the sensitivity region, and if included in the intermediate sensitivity region, it is determined that the measurement result can be used as the measurement result of the normal eye, This is a feature.
- a fourth aspect of the present invention has a model memory that stores a viewing angle-sensitivity distribution model (DA2) indicating a sensitivity distribution with respect to a viewing angle in a normal eye
- the normal eye data determination means (16) determines whether or not the measurement result can be used as the measurement result of the normal eye, and the degree of divergence of the measurement result with respect to the viewing angle-sensitivity distribution model is a predetermined value or less. Whether the measurement result is usable as the normal eye measurement result, This is a feature.
- the database (DB1) relating to the normal eye is read from the measurement database memory (17), and sensitivity distribution data (DA1) indicating the sensitivity distribution of the eye to be examined at each measurement point is calculated.
- the database (DB1) relating to the normal eye is read from the measurement database memory (17), the viewing angle-sensitivity distribution model (DA2) is calculated, and stored in the model memory. Having distribution model calculation means (16), This is a feature.
- a seventh aspect of the present invention is a sensitivity distribution memory that stores sensitivity distribution data (DA1) indicating the sensitivity distribution of the eye to be examined at each measurement point in the visual field measurement for the normal eye,
- a model memory for storing a viewing angle-sensitivity distribution model indicating a sensitivity distribution with respect to a viewing angle in a normal eye;
- the normal eye data determination means (16) determines whether the measurement result can be used as the measurement result of the normal eye.
- the measurement result is included in an intermediate sensitivity region of the sensitivity distribution data (DA1) that is greater than or equal to the lowest sensitivity region and less than or equal to the highest sensitivity region; 2) Whether or not the degree of deviation of the measurement result from the viewing angle-sensitivity distribution model (DA2) is a predetermined value or less, And when the measurement result is included in the intermediate sensitivity region and the deviation of the measurement result from the viewing angle-sensitivity distribution model is a predetermined value or less, the measurement result is the measurement of the normal eye. As a result, it is determined to be usable. This is a feature.
- a database relating to the normal eye is read from the measurement database memory, sensitivity distribution data indicating a sensitivity distribution of the eye to be examined at each measurement point is calculated, and stored in the sensitivity distribution memory.
- the determination result is displayed on the display (20).
- a tenth aspect of the present invention is a perimeter having a visual field measuring means for measuring a visual field of an eye to be examined and outputting the result as a measurement result
- the perimeter is Data storage means for storing measurement results relating to normal eyes among a plurality of measurement results of past visual field measurements as a database relating to normal eyes in a measurement database memory provided outside the perimeter, About the measurement result of the eye to be examined, normal eye data determination means for determining whether or not the measurement result can be used as a measurement result of a normal eye, A database that, when the normal eye data determination means determines that the measurement result is usable as the normal eye measurement result, adds the measurement result to the normal eye database together with database search attribute data Management means, It is a point which has.
- the database relating to the normal eye is: A plurality of measurement results of the subject eye to be normal eyes, a default database stored in the measurement database memory in advance as a database before the perimeter is actually used for measurement of the subject eye; By sequentially adding the measurement results measured by the perimeter to the default database, a storage database in which a large number of normal eye measurement results measured by the perimeter are accumulated, Stored separately in the measurement database memory, That is.
- database generating means for searching and extracting the measurement result using the database search attribute data as a parameter for generating and constructing a new database with respect to the default database and the storage database. It is.
- the database management means displays the measurement result as the attribute data for database search (for example, the age and sex of the subject of the eye to be examined) , Race, visual acuity, refractive index, disease name, residence, date of examination, etc.) and additional processing to the normal eye database (DB1). It is accumulated and can be used appropriately when diagnosing the eye to be examined thereafter.
- database search for example, the age and sex of the subject of the eye to be examined
- DB1 additional processing to the normal eye database
- the determination result is displayed on the display (20), and the measurement result (from the input means)
- the measurement result is added to the database (DB2) for glaucomatous eyes together with the attribute data for database search.
- the results of visual field measurement of the eye to be examined are selectively accumulated as a database, and can be appropriately used for subsequent diagnosis of the eye to be examined.
- the measurement result can be used as a normal eye measurement result, sensitivity distribution data (DA1) indicating the sensitivity distribution of the eye to be examined at each measurement point, or the visual field Since the determination is made based on the angle-sensitivity distribution model (DA2), the measurement result can be automatically determined from a statistical or physiological viewpoint, and the determination accuracy can be improved.
- DA1 sensitivity distribution data
- DA2 angle-sensitivity distribution model
- sensitivity distribution data (DA1) or viewing angle-sensitivity distribution model (DA2) is calculated based on a database (DB1) relating to normal eyes stored in a perimeter. Therefore, it is possible to reflect the past measurement data in the perimeter, and to reflect the regional characteristics of the perimeter.
- FIG. 1 is a perspective view showing an example of a perimeter to which the present invention is applied.
- FIG. 2 is a control block diagram showing an example of a control part of the perimeter of FIG.
- FIG. 3 is a diagram illustrating an example of a distribution of sensitivity measurement results of normal eyes at each examination point.
- FIG. 4 is a diagram illustrating an example of a sensitivity distribution with respect to a viewing angle of measurement data.
- the perimeter 2 has a main body 3 formed in a box shape as a whole, and a chin rest 5 and a flat pad 6 are provided on the front surface 3 a of the main body 3.
- the response switch 1 is detachably provided on the right side of the main body 3 in FIG. 1 via a connection cord 9. Further, the front of the chin rest 5 and the chin rest 6, that is, the back of the main body 3 in FIG. Inside, a hemispherical visual field dome 7 on which a visual target is presented is provided.
- the visual field dome 7 is configured such that a visual target for visual field measurement (not shown) can be projected onto an arbitrary position within the visual field dome 7 by a known visual target presenting device built in the main body 3.
- a control unit 10 of the perimeter 2 is provided inside the main body 3, and the control unit 10 has a main control unit 11.
- a visual field measurement unit 13, a measurement data management unit 15, a data collection control unit 16, a measurement database memory 17, an inspection result determination unit 19 and a display 20 are connected to the main control unit 11 via a bus line 12.
- the control unit block diagram shown in FIG. 2 shows only the portions related to the present invention, and does not show other components of the perimeter 1 unrelated to the present invention.
- the perimeter 1 has the above-described configuration, when measuring the field of view of an eye to be examined (not shown), the subject is placed on the chin rest 5 and further, Is placed in pressure contact with the contact pad 6 so that the subject's eye in the anterior eye portion of the subject is placed at a predetermined visual field measurement position.
- the main control unit 11 of the control unit 10 instructs the visual field measurement unit 13 to examine the eye to be examined.
- the visual field measurement unit 13 sequentially presents the target (not shown) at an appropriate position in the visual field dome 7 by a known method.
- the visual field measurement unit 13 measures the visual field of the eye to be inspected by a known method in such a manner that the above-described operation state is associated with the target position in the visual field dome 7 at that time.
- the measurement results MR are output from the visual field measurement unit 13 to the data collection control unit 16.
- the data collection control unit 16 determines in what form the measurement result MR relating to the obtained eye to be examined should be stored in the measurement database MDB stored in the measurement database memory 17.
- the measurement result MR of the subject's eye includes attribute data (attributes for database search) such as age, sex, race, visual acuity, refractive index, disease name, residence, and examination date / time of the subject of the subject's eye. Data) is input and stored by an inspector or the like via an input means (not shown).
- the measurement database memory 17 stores a number of visual field measurement results of the subject's eyes measured in the past by the perimeter 2 as a measurement database MDB.
- a database DB1 related to normal eyes and a database DB2 related to glaucoma eyes are stored.
- the data collection control unit 16 determines whether or not the obtained measurement result MR can be used as a normal eye measurement result from a statistical and physiological aspect. For this purpose, the data collection control unit 16 reads out a database relating to normal eyes from the measurement database MDB in the measurement database memory 17, and determines the sensitivity distribution of the eye to be examined at each visual field measurement point in visual field measurement. Calculated as data DA1, and stored in a memory (not shown) (sensitivity distribution memory). Normally, as shown in FIG.
- the sensitivity of normal eyes shows a tendency in which the number of data (number of specimens of the eye to be inspected in the database) N is a normal distribution with respect to the sensitivity (dB) of the eye to be inspected.
- the data collection control unit 16 determines that the measurement result MR is the minimum sensitivity in the sensitivity distribution data DA1. It is determined whether it is included in the intermediate sensitivity region, which is the region between the highest sensitivity and 100- ⁇ % or less (that is, the maximum sensitivity region or less) from the maximum sensitivity to ⁇ % or more (that is, the minimum sensitivity region or more).
- the measurement result MR is a normal eye measurement result
- the measurement result MR can be used as a normal eye measurement result.
- the sensitivity distribution data DA1 in the normal eye shown in FIG. 3, that is, the graph of sensitivity distribution at each visual field measurement point is obtained by statistically measuring past measurement results using other perimeters. It can also be configured to store in advance in the measurement database memory 17 or the like at the time of manufacture. Thereby, the determination accuracy at the beginning of the introduction of the perimeter 2 with little measurement data of the eye to be examined can be improved.
- the parameter ⁇ for setting the area may be set in advance by an inspector arbitrarily through an input means such as a keyboard, or may be set as appropriate on the data collection control unit 16 side in accordance with a predetermined inspection program. You can also
- the data collection control unit 16 when the data collection control unit 16 statistically determines that the measurement result MR can be used as the measurement result of the normal eye, the data collection control unit 16 then performs the obtained measurement. It is determined whether the result MR is physiologically normal. For this purpose, the data collection control unit 16 reads from the measurement database memory 17 a viewing angle-sensitivity distribution model DA2 indicating a physiological sensitivity distribution with respect to the viewing angle in a normal eye as shown in FIG.
- the viewing angle-sensitivity distribution model in the normal eye is configured such that a model known as a physiological viewing angle-sensitivity distribution is stored as default data in the measurement database memory 17 or the like when the perimeter 2 is manufactured. Good.
- the viewing angle-sensitivity distribution model DA2 for the eye may be calculated and stored in an appropriate memory (model memory).
- the data collection control unit 16 compares the read (or calculated) viewing angle-sensitivity distribution model DA2 with the measurement result MR obtained this time, and compares the measurement result MR with respect to the viewing angle-sensitivity distribution model DA2.
- the divergence degree K is calculated as an area surrounded by the measurement result MR and the viewing angle-sensitivity distribution model DA2, and is obtained when the area is equal to or less than a predetermined value ⁇ . It is determined that the obtained measurement result MR is physiologically normal, that is, the measurement result MR can be used as a measurement result of a normal eye.
- the predetermined value ⁇ may be set in advance by an inspector through an input unit such as a keyboard, or may be set as appropriate on the data collection control unit 16 side according to a predetermined inspection program. You can also.
- the determination result is displayed on the display 20 and the examiner.
- the measurement result MR is output to the measurement data management unit 15.
- the measurement data management unit 15 performs a process of adding the measurement result MR to the database DB1 relating to normal eyes in the measurement database MDB stored in the measurement database memory 17.
- data such as age, sex, race, visual acuity, refractive index, disease name, residential area, and examination date / time regarding the subject of the eye to be examined are simultaneously stored as attribute data for database search.
- the database DB1 regarding normal eyes becomes more statistically reliable by adding the measurement result MR.
- the main control unit 11 passes the test result determination unit 19 via the test result determination unit 19.
- the result is displayed on the display 20.
- the examiner inputs a signal designating that the measurement result MR is glaucoma via the input means.
- the main control unit 11 instructs the measurement data management unit 15 to add the measurement result MR to the database DB2 relating to glaucoma eyes.
- the measurement data management unit 15 immediately performs a process of adding the measurement result MR to the database DB2 relating to glaucoma among the measurement databases MDB stored in the measurement database memory 17.
- data such as age, sex, race, visual acuity, refractive index, disease name, residence, and examination date / time regarding the subject of the eye to be examined are simultaneously stored as attribute data.
- database DB2 regarding glaucoma is also more statistically reliable by adding the measurement result MR.
- the measurement database MDB including the database DB1 related to normal eyes and the database DB2 related to glaucoma eyes stored in the measurement database memory 17 includes the age, sex, race, visual acuity, Since data such as a refractive index, a disease name, a residence, and an examination date / time are simultaneously stored as attribute data, the examiner determines the glaucoma of the measurement result MR by the examiner through the input means.
- searching each database DB1 or DB2 from the databases DB1 and DB2 using parameters such as age, gender, race, visual acuity, refractive index, disease name, residential area, examination date and time, etc. necessary for diagnosis of glaucoma Data can be collected and displayed.
- it is possible to extract a variety of data effective for diagnosis such as a difference in visual field between a normal eye and a myopic eye, and a difference in normal eye data due to a difference in examination date and time.
- the measurement result MR determined by the data collection control unit 16 that the measurement result MR can be used as a normal eye measurement result is also output to the test result determination unit 19 and presented to the examiner via the display 3. .
- the examiner converts the presented measurement result MR into the database DB1 relating to normal eyes among the measurement database MDB stored in the measurement database memory 17, and includes age, sex, race, visual acuity, refractive index, disease name, residence,
- the condition of the eye to be examined can be diagnosed in detail by searching and comparing through various parameters such as the examination date and time.
- the measurement database MDB suitable for the land where the perimeter 1 is installed is obtained. It is constructed, and diagnosis and judgment suitable for the installation site are possible.
- the measurement database MDB from multiple perimeters 1 installed in different geographical locations detailed research such as differences in regional visual field measurement results and glaucoma symptoms Is possible.
- the inspector can set in advance the parameters used for determination and the determination rules for the control unit 10 via an input means such as a keyboard.
- the measurement database memory can be used based on the determination criteria set by the examiner without the examiner or the like determining whether the measurement result MR can be used as the normal eye measurement result by the data collection control unit 16.
- the database DB1 for normal eyes and the database DB2 for glaucoma eyes stored in 17 past measurement results are obtained through various parameters such as age, sex, race, visual acuity, refractive index, disease name, place of residence, examination date and time. It is possible to make a diagnosis of normal eye / glaucoma with respect to the measurement result MR by searching and comparing the measurement result MR.
- the measurement database to be generated and stored in the measurement database memory 17 of the perimeter 2 is only the database DB1 related to normal eyes (basic configuration), and the database DB2 related to glaucoma eyes is selected by software as necessary, such as diagnostic results.
- a configuration may be adopted in which generation and storage are possible by introducing an optional device or the like. This makes it possible to process the measurement result more quickly while ensuring the construction of the database DB1 related to basic normal eyes.
- the measurement result MR is added to the database DB 1 related to normal eyes by the examiner, the doctor, etc., by examining the measurement result MR, and determined by the examiner, the doctor, etc. It may be configured to manually instruct the data collection control unit 16 to additionally process the measurement result MR in the database DB1 relating to normal eyes via the input means.
- a value near the boundary of the value ⁇ is indicated, it is possible to avoid a situation where it is determined that the value cannot be used as a normal eye measurement result.
- the attribute data stored together with the measurement result MR in the database DB2 concerning glaucoma includes the age, sex, race, visual acuity, refractive index, disease name, residence, examination date and time, etc., related to the subject of the above-mentioned eye.
- glaucoma stage determined from the test result MR that is, early stage, middle stage, end stage, etc. can be stored at the same time, so that the database DB2 corresponding to the degree of progression of the disease state can be obtained. It is possible to more appropriately determine the degree of progression of the glaucoma disease state.
- the database DB1 relating to normal eyes is the default database before storing the measurement results MR by the perimeter 2, that is, the data relating to the measurement results of a large number (a plurality of) of the subject's eyes generally regarded as normal eyes.
- the measurement result MR measured by the perimeter 2 is sequentially added to the database stored in the measurement database memory 17 in advance and the default database, thereby the field of view. It is also possible to store in the measurement database memory 17 in a form separated from an accumulated database in which a large number of normal eye measurement results MR measured by the total 2 are accumulated. Thereby, the measurement result MR can be determined by both the default database and the storage database.
- past measurement results MR are retrieved and extracted from both the default database and the storage database using any database search attribute data designated by the inspector via an input means such as a keyboard, and have common parameters. It is also possible to configure so that a new database is generated and constructed in the measurement database memory 17 (database generating means).
- the visual acuity for example, visual acuity determined to be myopia
- the past measurement results MR accumulated in these databases are extracted and used as a new database.
- the measurement database for storing the measurement result MR is stored in the measurement database memory 17 built in the perimeter 2, and the measurement data management unit 15 is connected via a communication line such as the Internet.
- the database device may be stored in a measurement database memory of an external database device so that the database device can be accessed from a plurality of perimeters 2. By doing so, the database device can manage and analyze the measurement results of the perimeter 2 installed in various places, and grasp the local (geographic) characteristics and trends of the measurement results MR. It is also possible. In this case, the measurement result MR of each perimeter 2 is added to the measurement database by the measurement data management unit 15 accessing the external measurement database.
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Abstract
Description
該視野計は、
過去の視野測定の複数の測定結果のうち、正常眼に関する測定結果を正常眼に関するデータベース(DB1)として格納した測定データベースメモリ(17)、
前記被検眼の測定結果(MR)について、当該測定結果が前記正常眼の測定結果として使用可能か否かを判定する正常眼データ判定手段(16)、
前記正常眼データ判定手段により、前記測定結果が前記正常眼の測定結果として使用可能と判定された場合に、該測定結果を、データベース検索用属性データ(例えば、被検眼の被検者についての年齢、性別、人種、視力、屈折率、病名、住居地、検査日時などのデータ)と共に前記正常眼に関するデータベース(DB1)に追加処理する、データベース管理手段(15)、
を有して構成されるものである。
なお本発明の視野計は、視野計本体にコンピュータ機能を組み込んで構成することもできるし、視野計の測定部と市販のパーソナルコンピュータを接続した形で構成することもできる。
ことを特徴とするものである。
前記正常眼データ判定手段(16)は、前記当該測定結果が前記正常眼の測定結果として使用可能か否かを、該測定結果が前記感度分布データ(DA1)の、最低感度領域以上で、最高感度領域以下の中間感度領域に含まれるか否かを判定し、該中間感度領域に含まれる場合には、前記測定結果が前記正常眼の測定結果として使用可能と判定する、
ことを特徴とする点である。
前記正常眼データ判定手段(16)は、前記当該測定結果が前記正常眼の測定結果として使用可能か否かを、該測定結果の前記視野角-感度分布モデルに対する乖離度が所定値以下であるか否かで判定し、該所定値以下の場合には、前記測定結果が前記正常眼の測定結果として使用可能と判定する、
ことを特徴とする点である。
ことを特徴とする点である。
ことを特徴とする点である。
正常眼における視野角に対する感度分布を示す視野角-感度分布モデルを格納するモデルメモリを有し、
前記正常眼データ判定手段(16)は、前記測定結果が前記正常眼の測定結果として使用可能か否かを、
1)前記測定結果が前記感度分布データ(DA1)の、最低感度領域以上で、最高感度領域以下の中間感度領域に含まれるか否か、
2)前記測定結果の前記視野角-感度分布モデル(DA2)に対する乖離度が所定の値以下であるか否か、
で判断し、前記測定結果が、前記中間感度領域に含まれ、かつ前記測定結果の前記視野角-感度分布モデルに対する乖離度が所定値以下の場合には、前記測定結果が前記正常眼の測定結果として使用可能と判定する、
ことを特徴とする点である。
前記測定データベースメモリから前記正常眼に関するデータベースを読み出して前記視野角-感度分布モデルを演算して、前記モデルメモリに格納する、分布モデル演算手段を有する、
ことを特徴とする点である。
前記データベース管理手段(15)は、入力手段から、前記測定結果(MR)が緑内障のものであることを指定する信号が入力された場合に、該測定結果を、データベース検索用属性データと共に前記緑内障眼に関するデータベース(DB2)に追加処理する、
ことを特徴として構成される点である。
該視野計は、
過去の視野測定の複数の測定結果のうち、正常眼に関する測定結果を正常眼に関するデータベースとして前記視野計の外部に設けられた測定データベースメモリに格納するデータ格納手段、
前記被検眼の測定結果について、当該測定結果が正常眼の測定結果として使用可能か否かを判定する正常眼データ判定手段、
前記正常眼データ判定手段により、前記測定結果が前記正常眼の測定結果として使用可能と判定された場合に、該測定結果を、データベース検索用属性データと共に前記正常眼に関するデータベースに追加処理する、データベース管理手段、
を有する点である。
正常眼とされる被検眼の複数の測定結果を、前記視野計が実際に被検眼の測定に使用される前にデータベースとして予め前記測定データベースメモリに格納されたデフォルトデータベースと、
前記デフォルトデータベースに対して、前記視野計で測定した測定結果を順次追加処理することで、当該視野計で測定した正常眼の測定結果が多数蓄積された蓄積データベースとに、
分離した形で前記測定データベースメモリに格納されている、
ことである。
13……視野測定手段(視野測定部)
15……データベース管理手段(測定データ管理部)
16……正常眼データ判定手段、感度分布演算手段、分布モデル演算手段(データ収集制御部)
19……判定結果出力手段(検査結果判定部)
17……測定データベースメモリ
20……ディスプレイ
MR……測定結果
DA1……感度分布データ
DA2……視野角-感度分布モデル
DB1……正視眼に関するデータベース
DB2……緑内障眼に関するデータベース
MDB……測定データベース
Claims (12)
- 被検眼の視野を測定して、その結果を測定結果として出力する視野測定手段を有する視野計であって、
該視野計は、
過去の視野測定の複数の測定結果のうち、正常眼に関する測定結果を正常眼に関するデータベースとして格納した測定データベースメモリ、
前記被検眼の測定結果について、当該測定結果が前記正常眼の測定結果として使用可能か否かを判定する正常眼データ判定手段、
前記正常眼データ判定手段により、前記測定結果が前記正常眼の測定結果として使用可能と判定された場合に、該測定結果を、データベース検索用属性データと共に前記正常眼に関するデータベースに追加処理する、データベース管理手段、
を有して構成される視野計。 - 前記測定データベースメモリは、前記正常眼に関するデータベースに加えて緑内障眼に関するデータベースを格納しており、過去の視野測定の複数の測定結果を、前記正常眼に関するデータベースと緑内障眼に関するデータベースとに区分する形で測定データベースとして格納した、
ことを特徴とする、請求項1記載の視野計。 - 前記正常眼についての視野測定における各測定点の被検眼の感度分布を示す感度分布データを格納する感度分布メモリを有し、
前記正常眼データ判定手段は、前記当該測定結果が前記正常眼の測定結果として使用可能か否かを、該測定結果が前記感度分布データの、最低感度領域以上で、最高感度領域以下の中間感度領域に含まれるか否かを判定し、該中間感度領域に含まれる場合には、前記測定結果が前記正常眼の測定結果として使用可能と判定する、
ことを特徴とする、請求項1又は2記載の視野計。 - 正常眼における視野角に対する感度分布を示す視野角-感度分布モデルを格納するモデルメモリを有し、
前記正常眼データ判定手段は、前記当該測定結果が前記正常眼の測定結果として使用可能か否かを、該測定結果の前記視野角-感度分布モデルに対する乖離度が所定値以下であるか否かで判定し、該所定値以下の場合には、前記測定結果が前記正常眼の測定結果として使用可能と判定する、
ことを特徴とする、請求項1又は2記載の視野計。 - 前記測定データベースメモリから前記正常眼に関するデータベースを読み出して、各測定点の被検眼の感度の分布を示す感度分布データを演算して、前記感度分布メモリに格納する、感度分布演算手段を有する、
ことを特徴とする、請求項3記載の視野計。 - 前記測定データベースメモリから前記正常眼に関するデータベースを読み出して前記視野角-感度分布モデルを演算して、前記モデルメモリに格納する、分布モデル演算手段を有する、
ことを特徴とする、請求項4記載の視野計。 - 前記正常眼についての視野測定における各測定点の被検眼の感度分布を示す感度分布データを格納する感度分布メモリ、
正常眼における視野角に対する感度分布を示す視野角-感度分布モデルを格納するモデルメモリを有し、
前記正常眼データ判定手段は、前記測定結果が前記正常眼の測定結果として使用可能か否かを、
1)前記測定結果が前記感度分布データの、最低感度領域以上で、最高感度領域以下の中間感度領域に含まれるか否か、
2)前記測定結果の前記視野角-感度分布モデルに対する乖離度が所定の値以下であるか否か、
で判断し、前記測定結果が、前記中間感度領域に含まれ。かつ前記測定結果の前記視野角-感度分布モデルに対する乖離度が所定値以下の場合には、前記測定結果が前記正常眼の測定結果として使用可能と判定する、
ことを特徴とする、請求項1又は2記載の視野計。 - 前記測定データベースメモリから前記正常眼に関するデータベースを読み出して、各測定点の被検眼の感度の分布を示す感度分布データを演算して、前記感度分布メモリに格納する、感度分布演算手段及び、
前記測定データベースメモリから前記正常眼に関するデータベースを読み出して前記視野角-感度分布モデルを演算して、前記モデルメモリに格納する、分布モデル演算手段を有する、
ことを特徴とする、請求項7記載の視野計。 - 前記正常眼データ判定手段により、前記測定結果が前記正常眼の測定結果として使用できないものと判定された場合に、当該判定結果をディスプレイに表示する、判定結果出力手段を有し、
前記データベース管理手段は、入力手段から、前記測定結果が緑内障のものであることを指定する信号が入力された場合に、該測定結果を、データベース検索用属性データと共に前記緑内障眼に関するデータベースに追加処理する、
ことを特徴として構成される請求項2記載の視野計。 - 被検眼の視野を測定して、その結果を測定結果として出力する視野測定手段を有する視野計であって、
該視野計は、
過去の視野測定の複数の測定結果のうち、正常眼に関する測定結果を正常眼に関するデータベースとして前記視野計の外部に設けられた測定データベースメモリに格納するデータ格納手段、
前記被検眼の測定結果について、当該測定結果が正常眼の測定結果として使用可能か否かを判定する正常眼データ判定手段、
前記正常眼データ判定手段により、前記測定結果が前記正常眼の測定結果として使用可能と判定された場合に、該測定結果を、データベース検索用属性データと共に前記正常眼に関するデータベースに追加処理する、データベース管理手段、
を有して構成される視野計。 - 前記正常眼に関するデータベースは、
1)正常眼とされる被検眼の複数の測定結果を、前記視野計が実際に被検眼の測定に使用される前にデータベースとして予め前記測定データベースメモリに格納されたデフォルトデータベースと、
2)前記デフォルトデータベースに対して、前記視野計で測定した測定結果を順次追加処理することで、当該視野計で測定した正常眼の測定結果が多数蓄積された蓄積データベースとに、
分離した形で前記測定データベースメモリに格納されている、
ことを特徴とする、請求項1又は2又は10記載の視野計。 - 前記デフォルトデータベース及び蓄積データベースに対して、前記データベース検索用属性データをパラメータとして前記測定結果を検索抽出し、新たなデータベースを生成構築するデータベース生成手段を設けた、
ことを特徴とする請求項11記載の視野計。
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WO2017006750A1 (ja) * | 2015-07-08 | 2017-01-12 | 株式会社クリュートメディカルシステムズ | 標準眼モジュール装置および視野計評価方法 |
WO2018181714A1 (ja) * | 2017-03-31 | 2018-10-04 | 株式会社ニデック | 眼科情報処理システム |
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JPWO2018181714A1 (ja) * | 2017-03-31 | 2020-02-06 | 株式会社ニデック | 眼科情報処理システム |
JP7230800B2 (ja) | 2017-03-31 | 2023-03-01 | 株式会社ニデック | 眼科情報処理システム |
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