JP2007319407A - Ophthalmologic apparatus and method of converting visual field data - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an ophthalmologic apparatus and a method of converting visual field data, capable of evaluating visual field data based on the same condition regardless of the model of the apparatus which has obtained the visual data. <P>SOLUTION: The ophthalmologic apparatus has a measured value display converting means for converting and displaying a measured value on first visual field data of an eye of a subject obtained by a visibility threshold examination using a first perimeter as the measured value corresponding to a second perimeter considering the interrelation between the background luminance and maximum luminance of the presented visual target of the first perimeter and the background luminance and maximum luminance of the presented visual target of the second perimeter which uses different examination conditions from those of the first perimeter. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to an ophthalmologic apparatus and a visual field data processing method for processing visual field data obtained by a visibility threshold test.

Conventionally, perimeters that measure the visual field of a subject's eye by a visibility threshold test are known. Such a perimeter is known as a static perimeter that presents a test target at each measurement point on the fundus of the subject's eye and measures the visual field state of the subject's eye by its visual response (for example, a patent) Reference 1). Also, out of the field of view data acquired by such a device, the field of view is divided into a certain sector pattern by collecting several adjacent measurement points into a cluster (group), and the average is calculated for each sector. A technique used for diagnosis of a subject and periodic medical examinations is known (for example, see Non-Patent Document 1).
JP-T 6-54804 Yasuyuki Suzuki, Sector analysis of visual field, Vol.15, No.3, Neuro-ophthalmol.Jpn.1998, P258-262

  The unit of the measurement value obtained in such an apparatus is generally displayed in dB (decibel), but inspection conditions such as a plurality of measurement points for obtaining visual field data and luminance used for a presentation target are as follows. In many cases, it differs depending on each manufacturer (model).

  For this reason, even if the measured values of the optotype data obtained by different models are the same, the inspection conditions are different, so it is difficult to generally perform the same evaluation. Therefore, it is difficult to directly compare and examine the visual field data obtained with different models.

  In view of the problems with the above-described conventional apparatus, it is an object of the present invention to provide an ophthalmologic apparatus and a visual field data conversion processing method that can evaluate visual field data under the same conditions regardless of the type of visual field data acquired.

In order to solve the above problems, the present invention is characterized by having the following configuration.
(1) The measurement value on the first visual field data of the subject's eye obtained by the visibility threshold test using the first perimeter, and the maximum luminance of the background luminance of the first perimeter and the presentation target In consideration of the correlation between the background luminance of the second perimeter using the inspection conditions different from those of the first perimeter and the maximum luminance of the presenting target, it is converted and displayed as a measurement value corresponding to the second perimeter. A measurement value display conversion means is provided.
(2) The ophthalmologic apparatus according to (1) collects a plurality of measured values on the first visual field data of the subject's eye obtained by a visibility threshold test using the first perimeter into several clusters. Sector division means for dividing the field of view into a plurality of sectors, wherein the measurement value display conversion means averages a plurality of measurement values existing in each sector divided by the sector division means, It is characterized by being converted and displayed as a measured value corresponding to the total.
(3) In the visual field data conversion processing method in which the first visual field data corresponds to the second visual field data, the measured value on the first visual field data of the subject's eye obtained by the visibility threshold test using the first perimeter , The background luminance of the first perimeter and the maximum luminance of the presentation target, and the background luminance of the second perimeter using the inspection conditions different from the first perimeter and the maximum luminance of the presentation target. In consideration of the correlation, it is converted and displayed as a measured value corresponding to the second perimeter.
(4) In the visual field data conversion processing method of (3), a plurality of measured values on the first visual field data of the subject's eye obtained by a visibility threshold test using the first perimeter are divided into several clusters. A sector dividing step for dividing the field of view into a plurality of sectors by summarizing, averaging a plurality of measured values existing in each sector divided by the step, and measuring values corresponding to the second perimeter It is characterized by being converted and displayed as

  According to the present invention, the visual field data can be evaluated under the same conditions regardless of the model from which the visual field data has been acquired. .

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram showing an ophthalmologic apparatus used in this embodiment. The ophthalmologic apparatus used here is broadly classified into a perimeter 100 that acquires visual field data of a subject's eye and a visual field data processing apparatus 300 that acquires visual field data and performs conversion processing, arithmetic processing, and the like. The perimeter 100 used in the present embodiment presents bright spots having different sizes, brightness, and the like to the subject's eyes at various positions, and obtains the visibility threshold of the subject's eye according to the response to the bright points. It is a static perimeter to measure (inspect).

  A hemispherical dome-shaped screen 1 is arranged in front of the subject's eyes, and a stimulus target is presented from the target projection unit 2 on this screen 1. The target projection unit 2 includes a light source 3, a projection lens 4, a movable mirror 5, and an aperture 6 with a variable aperture diameter. An illumination unit 7 uniformly illuminates the screen 1 and forms background light at the time of inspection. The movable mirror 5 is driven by a driving mechanism (not shown) and changes the position of a spot target (stimulus target) projected on the screen 1 by the light source 3 and the projection lens 4. The movable mirror 5 can be composed of two sets of galvanometer mirrors. By changing the aperture diameter of the aperture 6, the size of the spot target projected on the screen 1 can be changed. A fixation target 10 is provided at the center of the screen 1. The target projection unit 2 is connected to the control unit 30. The control unit 30 drives and controls the movable mirror 5 of the target projection unit 2, and is projected onto the screen 1 to change the position of the stimulus target. Further, the light amount of the light source 3 is adjusted, and the luminance of the stimulus target (presentation target) projected on the screen 1 is changed. Connected to the control unit 30 are a monitor 21, a keyboard 22 serving as an input device, a mouse 23, a response switch 15 for the subject to respond to the stimulus target, and the like. The control unit 30 controls the light source 3, the mirror 5, the aperture 6, the illumination unit 7, etc. (background luminance control), the display control of the monitor 21, etc., and calculates the obtained visual field data of the subject's eye The control unit 31 performs processing or sector division, which will be described later, and a memory 32 serving as storage means for storing a stimulus target presentation position, a processing program, a luminance value conversion table, which will be described later, and the like. The memory 32 also stores the acquired visual field data. The monitor 21, control unit 20, keyboard 22, mouse 23, etc. used in this embodiment are general computers.

  A procedure for acquiring visual field data of the subject's eye with the perimeter 100 having such a configuration will be described. When the measurement of the visual field is started, the screen 1 is illuminated by the illumination unit 7 with a predetermined luminance. The subject is provided with the response switch 15 to fixate the fixation target 10. Then, the target projection unit 2 presents the stimulus target with a predetermined luminance on the screen 1 based on the stimulus target presentation position stored in the memory 32 and the command of the control unit 31. The subject presses the response switch 15 when the presented target is visible. The luminance and measurement point (presentation position) of the visual target are changed using the keyboard 22 and the mouse 23, and a visibility threshold value at which the subject can be visually recognized is obtained at each measurement point (measurement point). The obtained measurement results at each measurement point are stored in the memory 32 in association with the measurement point. By repeating this operation, the visibility threshold value at each measurement point is plotted, and the visual field data of the subject's eye is acquired. The visual field data acquired in this way is stored in the memory 32 together with the subject information (left and right eye information, age, sex, ID number, etc.) acquired in advance.

  The visual field data acquired by such a perimeter 100 is shown in FIG. FIG. 2A schematically shows visual field data 200 (static visual field) of the subject's eye displayed on the monitor 21. The center (intersection) of the coordinates is the fixation center, and corresponds to the visual axis of the subject's eye, that is, the fovea. The numerical value (measured value) shown on the coordinates is the visibility (light sensitivity) at the time of the response of the subject's eye, and indicates the visibility threshold. In this visual field data 200, the visibility threshold is expressed in decibels (dB). The positions of these measured values indicate the position of the visual target presented to the subject's eye by the perimeter 100 described above, and serve as measurement points on the visual field. Further, in such visual field data, a measurement point with an extremely low visibility threshold located at a predetermined distance in the horizontal axis direction from the center of coordinates (intersection of the vertical axis and horizontal axis) Corresponds to the position of the blind spot (optic nerve head). In the visual field data 200 shown in FIG. 2A, it is estimated that the optic nerve head is located in the vicinity of a visibility of 0 dB on the right side from the center of the coordinates.

  As one of the methods for evaluating the visual field data obtained in this way, as shown in the previous Non-Patent Document 1, the visual field is divided into a certain sector pattern by collecting several measurement points into a cluster. There is a technique for performing visual field analysis using this. This method will be described with reference to FIG. As shown in FIG. 2 (b), several adjacent numerical values of the visual field data shown in FIG. 2 (a) are selected according to the retinal nerve fiber strike (running), surrounded by a frame, To do. Each group created here becomes each sector S. After the sector division, the average of the measured values in each sector S is performed. Here, FIG. 2C is a schematic diagram showing an average value for each sector S. FIG. In FIG. 2C, the calculation result is rounded off. For example, the numerical values in the sector S1 shown in FIG. 2B are 28, 19, 26, and 24, and the average of these is 24.25. When rounded, the value of the sector S1 shown in FIG. 24.

Thus, by dividing the field-of-view data into sectors in this way, it becomes easy to grasp the state of the field of view of the subject's eye globally along the direction of the retinal nerve fibers. For example, if the visual field is evaluated only with the visibility threshold value at each measurement point, fine evaluation can be performed, but there is a large variation at each measurement point, and false negatives and false positives are likely to occur. On the other hand, if the average value of the entire field of view or other numerical operations are performed, it is easy to evaluate the entire field, but it is difficult to grasp local visual field abnormalities and their progress. What fills the gap between the two is the evaluation of the field of view using sector division. Here, although the sector S is indicated by a numerical value, it may be configured to display the color change or shading. ,
This series of sector division is performed using a mouse cursor 40 displayed on the monitor 21 together with the visual field data. By using the mouse 23 and dragging the cursor 40 on the field of view data, a plurality of measurement values are enclosed, and the drag state is released, whereby sector division including a plurality of measurement values is performed.

  By repeating such a sector division operation, all the measurement points of the visual field data are divided into several groups and divided into sectors. The obtained division pattern information (sector pattern) of the sector S is stored in the memory 32 by the operation of the keyboard 22 or the mouse 23. Sector division pattern information based on the stored visual field data 200 can be arbitrarily called from the memory 32.

  Note that a sector pattern prepared in advance may be applied to the visual field data to calculate an average value for each sector. For example, at least one sector pattern created by the above-described method or the like is stored in the memory 32 (a plurality of sector patterns may be prepared in advance). When another field-of-view data is read with a read button (not shown), a sector pattern to be applied to the read field data is selected with a sector pattern selection button (not shown). When the sector pattern is selected, calculation for each sector is performed by the control unit 31 as described above. After the calculation, the calculation result may be displayed on the monitor 21. By adopting such a configuration, a sector pattern created in advance can be easily used for other visual field data.

  Note that sector division is not limited to such a method. For example, there are various methods for selecting measurement values to be included in one sector and various sector pattern templates in which sector division for each measurement point is determined in advance. It is also possible to perform sector division of the field-of-view data 200 by preparing and applying a sector division pattern considered to be appropriate from the template.

  Next, a method for performing sector division more suitably will be described below. In general, visual field disorders are said to correlate with the movement of the retinal nerve fibers in the fundus, and the examiner is conscious of the movement of the retinal nerve fibers when performing sector division on each measurement of visual field data. Often to do. Therefore, using a template 50 schematically showing the retinal nerve fiber strike as shown in FIG. The template 50 shown in the figure is composed of an optic nerve head H, a fovea F, and nerve fibers N. Nerve fibers N indicate the direction of retinal nerve fibers and are schematically depicted. Nerve fibers N extend radially from the nipple H. Further, since nerve fibers are densely around the fovea, the state where nerve fibers N are concentrated from the fovea F is depicted. Such a template 50 is stored in the memory 32.

  When superimposing the template 50 on the visual field data 200 displayed on the monitor 21, the template 50 is added to the visual field data 200 from a menu (not shown) displayed on the monitor 21 by operating the keyboard 22 or the cursor 40. Select an item to overlay. When a signal instructing superposition of the templates 50 is sent to the control unit 31, the control unit 31 calls the template shown in FIG. Next, the control unit 31 determines from the subject information stored in the memory 32 in advance whether the visual field data 200 shown in FIG. 2A is left or right eye data, and based on the result, the template 50 display directions (for the left eye and for the right eye) are determined in advance. Next, the control unit 31 superimposes the center (corresponding to the fovea) of the coordinates of the visual field data 200 and the fovea F shown in the template 50, and displays them on the monitor 21 as shown in FIG. Note that the template 50 may be prepared for each of the left eye and the right eye, or various templates may be prepared according to age and the like, based on the subject data corresponding to the acquired visual field data. A preferred template may be selected from the prepared templates. The examiner who performs sector division surrounds several measurement values (measurement points) as one group with the mouse cursor 40 while referring to the orientation of the nerve fiber N of the template 50 displayed superimposed on the visual field data 200. Divide the sector. This operation is repeated as described above, and after all sector divisions are completed, the sector pattern is saved. The stored sector pattern can be used for visual field data of the same subject's eye, and can be used for subsequent observation, diagnosis, etc. of visual field changes. Further, the sector pattern can be applied to visual field data of other patient's eyes and used for diagnosis or the like.

  In this way, the sector division can be easily performed by superimposing and displaying the template simulating the direction of the optic nerve fiber in the visual field data.

  In the embodiment described above, sector division by the mouse cursor 40 is performed in a square shape, but the present invention is not limited to this. A free graphic may be formed by drawing a curve or the like by freely moving the cursor 40 while dragging. Further, a configuration may be added in which the movement of the cursor 40 is snapped to the coordinates of the visual field data when dividing the rectangular sector. In this embodiment, the coordinate center of the visual field data and the fovea of the template are aligned and superimposed. However, the present invention is not limited to this, and both can be superimposed on the basis of the position of the optic disc. . As described above, the position of the optic nerve head on the visual field data is a measurement point with an extremely low visibility threshold located at a predetermined distance in the horizontal axis direction from the coordinate center of the visual field data (the intersection of the vertical and horizontal axes). Corresponds to the blind spot (optic nerve head) position of the subject's eye, and this position can also be matched with the optic nerve head H position of the template 50. Also, if the corresponding positions corresponding to the fovea and the optic disc in the visual field data 200 are known, the controller 31 determines the distance between the central fovea and the optic disc on the visual data 200 and the template 50 when overlaying the template 50. The distance between the upper fovea F and the optic disc H can be obtained, and the template 50 can be enlarged / reduced so that these distances coincide with each other, and the two can be overlapped.

  Also, such perimeters may have different inspection conditions such as the target presentation position, brightness, and background brightness between different perimeter models, and are different from the perimeter data acquired by the perimeter 100. It is not easy to compare with the visual field data acquired by the model perimeter. In addition, it is impossible to see what kind of visual field data is obtained when measured by another inspection device or perimeter. Next, a method for converting the visual field data so that the obtained visual field data can be directly compared and examined with the target data obtained by a perimeter with different inspection conditions will be described.

  FIG. 4 shows the visual field data 200 acquired by the above-described perimeter 100, and the visual field acquired by the perimeter 101 that is different from the perimeter 100 in the inspection conditions such as the measurement point, the maximum luminance, and the background luminance of the presentation target. It is the figure which showed the data 201. FIG. Although the visual field data 201 acquired by the perimeter 101 is different from the visual field data 200 in the inspection conditions, the inspection procedure and the components of the apparatus are the same as those of the perimeter 100 described above, and the description thereof will be omitted.

  FIG. 5A shows the sector pattern used in the previous embodiment superimposed on the field-of-view data 201 of the perimeter 101, and FIG. 5B shows the value obtained by averaging the measurement points in each sector. Is shown. A series of flows for converting the visual field data 201 acquired by the perimeter 101 so that it can be easily compared with the visual field data 200 acquired by the perimeter 100 will be described. In these visual field data, as shown in FIG. 4, the position (measurement point) of the measurement point on the visual field data 201 is different from the measurement point of the visual field data 200. Although details will be described later, the visual field data 200 and 201 do not show the same visibility even if the numerical values are the same. Therefore, it is difficult to directly compare the visual field data 200 and the visual field data 201 in this state.

  Therefore, as shown in FIG. 5A, the sector pattern created (applied) with the field-of-view data 200 described above is also applied to the field-of-view data 201, and the field-of-view data 201 is divided into sector patterns composed of a plurality of sectors S. To do. In the sector division of FIG. 5A, the same sector pattern as that obtained by dividing the visual field data 200 is superimposed and displayed on the visual field data 201 by calling up the sector pattern stored in the memory 32. Although details are omitted, the coordinate data of the sector pattern is matched with the coordinate data of the visual field data 201, and each measurement value is divided into each sector S. At this time, when a measurement value is applied on the line of the sector S, the measurement point is regarded as in the sector S.

  Next, as shown in FIG. 5B, the average of the measurement values included in each sector S is performed in the same manner as described above. For example, taking the sector S1 shown in FIG. 5A as an example, the measured values in the sector S1 are 28, 19, 25, 26, 24, 50, and the average value thereof is 28.7. Rounded to 29. At this time, the measurement value 50 of the fovea at the coordinate center of the visual field data 201 is included. When the control unit 31 repeats such acquisition of the average value, a figure showing the measured value after the addition average shown in FIG. In this way, the measurement points that are different in the visual field data 200 and 201 by the calculation of the control unit 31 are set to the same position with respect to the sector pattern.

  However, since the measurement values of the visual field data 200 and the visual field data 201 are different from each other (inspection conditions), it is difficult to compare them as they are. For this reason, in this embodiment, each measurement value obtained by the visual field data 201 is converted into a measurement value corresponding to the inspection condition of the perimeter 100 so that the comparison can be easily performed. Expression 1 is an expression for calculating a measured value (dB) at each measured value by the perimeter 100 or the perimeter 101.

ここで、各視野計が持つL_maxは最高輝度、L_BGは背景輝度、Ｌは呈示視標の輝度を表す。ここでの輝度の単位はasb（Apostilb）とする。なお、以下の表１に示すように、今回用いた視野計１００の背景輝度は、31.5asb、呈示視標の最高輝度10000asbとし、視野計１０１の背景輝度は31.4asb、最高輝度6000asbとする。

Here, L _max of each perimeter is the maximum luminance, L _BG is the background luminance, and L is the luminance of the presented visual target. The unit of brightness here is asb (Apostilb). As shown in Table 1 below, the background luminance of the perimeter 100 used this time is 31.5 asb, the maximum luminance of the presentation target is 10000 asb, and the background luminance of the perimeter 101 is 31.4 asb, and the maximum luminance is 6000 asb.

測定値の算出の例としては、例えば、視野データ２００（視野計１００）の場合、呈示視標の輝度が１０００asbであったとすると、１０×ｌｏｇ（１００００／９６８．５）でおよそ１０ｄＢとなる。

As an example of calculation of the measured value, for example, in the case of the visual field data 200 (perimeter 100), if the luminance of the presented target is 1000 asb, 10 × log (10000 / 968.5) is approximately 10 dB.

また、上記の式２は、ある視野計にて得られた視野データの測定値を、呈示視標の輝度値に変換する式である。ここでは、L_maxは視野計１０１の最高輝度である6000asb、L_BGは視野計１０１の背景輝度である31.4asbとなる。ＬはあるdB値の時の視野計１０１での呈示視標の輝度を表す。例えば、視野計１０１を用いて視野内のある測定点で得られた視感度閾値の測定値が１０dBであった場合を考えると。式２のdBに１０を代入すると、Ｌは約628asbとなる。このように、式２で求めた視野計１０１における呈示視標の輝度値Ｌを用いて、検査条件（最高輝度、背景輝度）の異なる別の視野計に対応した測定値に変換する。ここでは、一例として、視野計１０１により得た視野データ２０１を視野計１００により得た視野データ２００の測定値に換算する。

Moreover, said Formula 2 is a type | formula which converts the measured value of the visual field data obtained with a certain perimeter into the luminance value of a presentation target. Here, L _max is 6000 asb which is the maximum luminance of the perimeter 101 and L _BG is 31.4 asb which is the background luminance of the perimeter 101. L represents the brightness of the presented visual target on the perimeter 101 at a certain dB value. For example, consider a case where the measured value of the visibility threshold value obtained at a certain measurement point in the visual field using the perimeter 101 is 10 dB. Substituting 10 for dB in Equation 2, L becomes approximately 628 asb. In this way, the luminance value L of the presentation target in the perimeter 101 obtained by Expression 2 is used to convert it into a measurement value corresponding to another perimeter with different inspection conditions (maximum luminance and background luminance). Here, as an example, the visual field data 201 obtained by the perimeter 101 is converted into a measured value of the visual field data 200 obtained by the perimeter 100.

L _max and L _BG in Equation 1 are those of the perimeter 100, that is, 10000 asb and 31.5 asb. L is a luminance value (asb) at a certain measurement value (dB) acquired by the perimeter 101. Here, the measured value 10 dB described above is used. When L (about 628 asb) obtained from Equation 2 is substituted into Equation 1, 10 × log (9968.5 / 596.5) is obtained, and the measured value is 12.2 dB. Therefore, 10 dB in the perimeter 101 is about 12 dB in the perimeter 100. The control unit 31 performs such display conversion of measured values.

  Using the expressions 1, 2 and Table 1 described above, the background luminance and the maximum luminance of the perimeters 100 and 101 are correlated to each measured value of the visual field data 201 (here, the average value for each sector). By performing the conversion process, the measured value in the visual field data 201 obtained from the perimeter 101 can be converted as the measured value in the visual field data 200 obtained from the perimeter 100.

  Note that the inspection conditions (background luminance and maximum luminance) for each model in Table 1 are stored in the memory 32, and read out by the control unit 31 at the time of conversion calculation to convert the measured values, and the visual field data 200, 201. The strength between them is made uniform. Here, the visual field data 201 thus converted is shown in FIG. The field-of-view data 201 in FIG. 6 has the same sector pattern as the field-of-view data 200, and the range of luminance values is the same as a result of the previous conversion. Therefore, it is possible to compare the field-of-view data 201 in FIG. 6 and the field-of-view data 200 in FIG.

  As described above, two field-of-view data having different measurement points and luminance values can be easily compared by using sector division.

  In addition, instead of storing Formula 1, Formula 2, and Table 1 in the memory 32, a conversion table of field-of-view data 200, 201 created in advance based on Formula 1, Formula 2, and Table 1 is stored and used during conversion. You can also Further, in the present embodiment, the luminance values are converted so as to correspond to different inspection conditions after the measurement values in each sector are averaged. However, the present invention is not limited to this, and was obtained with one perimeter. A number of measured values on the visual field data are divided into several clusters and divided into sectors, and the measured values in each sector are combined into one measured value, and this measured value corresponds to the inspection condition of the other perimeter. It may be converted and displayed in the form. For example, the measurement values at each measurement point may be converted before sector division, or the measurement values may be converted after sector division and then averaged. These three conversion procedures will be described with reference to the flowchart of FIG. As shown in FIG. 7, there are three types of steps indicated by S <b> 1 to S <b> 3 during the acquisition of the converted visual field data from the acquisition of the visual field data. Acquisition of visual field data and acquisition of converted visual field data are executed by being stored in the memory 32 as described above. Here, each step S1-S3 is demonstrated. In step S1, as described in detail in the present embodiment, in the first stage, sector division is performed in which a plurality of measured values of visual field data are grouped into several clusters. In the next second stage, the average value of the measured values in each sector is calculated. In the final third stage, each average value is converted into a measurement value corresponding to the visual field data under different inspection conditions. In step S2, sector division is performed in the first stage, all measured values in each sector are converted to correspond to different inspection conditions in the second stage, and an average value for each sector is calculated in the third stage. In step S3, all the measured values of the visual field data are converted to correspond to different inspection conditions in the first stage, the sector is divided in the second stage, and the average value of all the measured values in each sector in the third stage. Is calculated. As described above, the visual field data conversion processing shown in the present embodiment includes a plurality of processing procedures.

  In the present embodiment, the perimeter 100 is controlled by the control unit 31 in the visual field data processing device 300, and the acquired visual field data is stored in the memory 32 in the visual field data processing device 300 and processed. Although the visual field data processing device 300 is integrated, the present invention is not limited to this. The perimeter 100 and the visual field data processing device 300 may function separately. For example, the field-of-view data acquired by the perimeter 100 may be stored in a storage medium, and the field-of-view data may be transferred to the field-of-view data processing apparatus 300 which is a separate device for processing. The perimeter 100 itself can also have the function of the visual field data processing device 300. Furthermore, in this embodiment, the perimeter 100 and the perimeter 101 are assumed to have different measurement points. However, the present invention is not limited to this, and when the measurement points are the same, a plurality of obtained measurement values are obtained. There is no need to divide sectors and perform averaging.

It is a figure which shows the perimeter and visual field data processing apparatus which are the ophthalmologic apparatuses of this embodiment. It is a schematic diagram which shows an example of visual field data. It is a figure explaining the superimposition display of the template 50 and the visual field data 100. FIG. It is a figure which shows the two visual field data acquired on different test conditions. It is a figure which shows the sector division | segmentation of the visual field data 101. FIG. It is the figure which showed the conversion result of the visual field data. It is a flowchart which shows the conversion procedure of visual field data.

Explanation of symbols

2 Target Projection Unit 7 Illumination Unit 21 Monitor 30 Control Unit 31 Control Unit 32 Memory 40 Mouse Cursor 50 Template 100, 101 Perimeter 200, 201 Field Data 300 Field Data Processing Device S Sector N Nerve Fiber F Fovea H Optic nerve head

Claims (4)

The measured value on the first visual field data of the subject's eye obtained by the visibility threshold test using the first perimeter, the background luminance of the first perimeter and the highest luminance of the presentation target, Measured value display converted and displayed as a measured value corresponding to the second perimeter in consideration of the correlation between the background luminance of the second perimeter and the maximum luminance of the presentation target using inspection conditions different from those of the first perimeter An ophthalmologic apparatus comprising a conversion means. The ophthalmologic apparatus according to claim 1 has a plurality of visual fields by collecting a plurality of measured values on the first visual field data of the subject's eye obtained by a visibility threshold test using the first perimeter into several clusters. A sector dividing means for dividing the sector into a plurality of sectors, and the measured value display converting means averages a plurality of measured values present in each sector divided by the sector dividing means and corresponds to the second perimeter An ophthalmologic apparatus characterized by being converted and displayed as a measured value. The measured value on the first visual field data of the subject's eye obtained by the visibility threshold test using the first perimeter, the background luminance of the first perimeter and the highest luminance of the presentation target, In consideration of the correlation between the background luminance of the second perimeter and the maximum luminance of the presentation target using inspection conditions different from those of the first perimeter, it is converted and displayed as a measurement value corresponding to the second perimeter. Field-of-view data conversion processing method. The visual field data conversion processing method according to claim 3 is a method of collecting a plurality of measured values on the first visual field data of the subject's eye obtained by a visibility threshold test using the first perimeter into several clusters. It has a sector division step for dividing the field of view into a plurality of sectors, averages a plurality of measurement values existing in each sector divided by the step, and converts and displays them as measurement values corresponding to the second perimeter And a visual field data conversion processing method.

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