JP7459623B2 - Visual field testing method, visual field testing device, and program - Google Patents

Description

The technology disclosed herein relates to a visual field testing method, a visual field testing device, and a program.

Patent Document 1 discloses a visual field testing device that can obtain the sensitivity of the subject's eye to light stimuli.

Patent No. 5048284

A visual field inspection method according to a first aspect of the technology of the present disclosure includes an inspection step of inspecting the sensitivity of a first inspection point selected from a set of inspection points of a plurality of inspection points; and an estimating step of estimating the sensitivity of a second test point different from the first test point and the reliability of the sensitivity of the second test point based on the method.

The visual field examination device according to the second aspect of the disclosed technology includes a memory and a processor connected to the memory, and the processor performs an examination step of examining the sensitivity of a first examination point selected from a set of a plurality of examination points, and an estimation step of estimating the sensitivity of a second examination point different from the first examination point and the reliability of the sensitivity of the second examination point based on the sensitivity of the first examination point.

A program according to a third aspect of the technology of the present disclosure includes a test step of causing a computer to test the sensitivity of a first test point selected from a test point set of a plurality of test points; an estimation step of estimating the sensitivity of a second test point different from the first test point and the reliability of the sensitivity of the second test point based on the above.

FIG. 1 is a block diagram of an ophthalmology system 100. 2 is a block diagram showing the configuration of a perimeter 110. FIG. FIG. 2 is a functional block diagram of the CPU 12 of the perimeter 110. It is a flowchart of the visual field inspection process which CPU12 of the perimeter meter 110 performs. 5 is a flowchart of the thinning inspection process in step 212 of FIG. 4. 5 is a flowchart of additional inspection processing in step 220 of FIG. 4. FIG. 5 is a flowchart of the process of estimating the overall visual field sensitivity in step 216 of FIG. 4. FIG. A set of all inspection points including inspection points to be inspected and inspection points not to be inspected for the optic nerve of the retina of the subject's eye 12 is conceptually shown. FIG. 7 is a diagram illustrating cumulative function update processing. FIG. 13 is another diagram showing the update process of the cumulative function. FIG. 13 is another diagram showing the update process of the cumulative function. FIG. 13 is another diagram showing the update process of the cumulative function. FIG. 7 is another diagram showing the cumulative function update process. FIG. 7 is another diagram showing the cumulative function update process. FIG. 7 is another diagram showing the cumulative function update process. FIG. 7 is another diagram showing the cumulative function update process. FIG. 7 is another diagram showing the cumulative function update process. FIG. 3 is a diagram showing the luminance value (dB) of the index light and the reaction result of the subject (patient) at each test time of the tested points. 1 is a graph showing a luminance value-correct answer rate curve indicating the relationship between a luminance value and the probability fa, b(θ) that an inspection point on the optic nerve of a patient's eye 12 to be examined will recognize the index light of that luminance value. FIG. 13 is a diagram showing estimated luminance values of inspected points. FIG. 3 is a diagram showing the relationship between inspection points and the estimated brightness value and reliability of each inspection point. It is a figure which shows the brightness value (dB) of the index light and reaction result in each test time of an additional test point. It is a figure which shows the estimated brightness value of an additional test point. 11 is a graph showing an estimated luminance value of each inspection point of the entire set of inspection points. 15B is a graph in which confidence levels have been added to the graph of FIG. 15A. FIG. 13 shows visual field sensitivity map 510M. FIG. 7 is a diagram showing the relationship between the number of tests and the difference between the correct value of sensitivity and the estimated sensitivity in the prior art. FIG. 7 is another diagram showing the relationship between the number of tests and the difference between the correct value of sensitivity and the estimated sensitivity in the prior art. FIG. 7 is another diagram showing the relationship between the number of tests and the difference between the correct value of sensitivity and the estimated sensitivity in the prior art. FIG. 13 is a diagram showing the relationship between the number of tests and the difference between the correct sensitivity value and the estimated sensitivity in the present embodiment. FIG. 11 is another diagram showing the relationship between the number of tests and the difference between the correct sensitivity value and the estimated sensitivity in the present embodiment. FIG. 11 is another diagram showing the relationship between the number of tests and the difference between the correct sensitivity value and the estimated sensitivity in the present embodiment. FIG. 3 is a diagram illustrating a method of interpolating estimated brightness values of uninspected points. 10 is a graph showing estimated luminance values and reliability values obtained in the present embodiment.

Below, an embodiment of the technology disclosed herein will be described in detail with reference to the drawings.

The configuration of the ophthalmologic system 100 will be described with reference to FIG. 1. As shown in FIG. 1, the ophthalmological system 100 includes a static visual field testing device (hereinafter referred to as "perimeter") 110, a management server device (hereinafter referred to as "server") 140, and an image display device (hereinafter referred to as " 150 (referred to as "Viewer").
The perimeter 110 is an example of a "perimeter inspection device" according to the technology of the present disclosure.

The perimeter 110 is an instrument that tests the visual field sensitivity (brightness value) of a patient's examined eye, which will be described in detail later, and is used to diagnose glaucoma, retinitis pigmentosa, etc.

Here, the visual field sensitivity is the intensity (luminance value: luminance (dB)) of the index light that reaches the test point of the optic nerve of the retina of the fundus of the eye to be examined and is recognized by the patient. Note that the larger the luminance value expressed in dB is, the lower the intensity of the index light presented to the inspection point is, and the darker the index light is. In other words, the smaller the luminance value expressed in dB, the greater the intensity of the index light presented to the inspection point, and the brighter the index light.

The server 140 stores the results of the visual field sensitivity test (estimated luminance value, etc.) of the patient's examined eye obtained by the perimeter 110 in correspondence with the patient ID. The viewer 150 displays medical information such as the results of the visual field sensitivity test of the examined eye obtained from the server 140.

The perimeter 110, server 140, and viewer 150 are connected to each other via network 130.

Figure 2 shows the configuration of the perimeter 110.

When the perimeter 110 is placed on a horizontal plane, the horizontal direction is the "X direction", the vertical direction to the horizontal plane is the "Y direction", and the direction connecting the center of the pupil of the anterior part of the subject's eye 12 and the center of the eyeball is the "Z direction". Therefore, the X direction, Y direction, and Z direction are perpendicular to each other.

As shown in FIG. 2, the perimeter 110 includes a control device 10, an index presentation unit 30, an external storage device 40, an input/display unit 50, and a response unit 60.

The control device 10 is equipped with a computer having a CPU (Central Processing Unit) 12, a ROM (Read-Only memory) 14, a RAM (Random Access Memory) 16, and an input/output (I/O) port 18, all of which are interconnected by a bus 20. The ROM 14 stores a visual field testing program, which will be described later.

The ROM 14 is an example of a "memory" in the technology of the present disclosure. The CPU 12 is an example of a "processor" in the technology of the present disclosure. The memory stores a visual field examination program. The processor is connected to the memory and executes the visual field examination program.

The I/O port 18 is connected to an index presentation unit 30, an external storage device 40, a communication interface (I/F) 45, an input/display unit 50, and a response unit 60.

The input/display unit 50 has a graphic operator interface that displays images and receives various instructions from an operator. Graphic operator interfaces include touch panel displays.

The response unit 60 includes a switch (not shown) operated by the patient and a transmitter. When the patient recognizes the index light during a visual field test to be described later, the patient turns on the switch. When the transmitter is turned on, the transmitter transmits a recognition signal indicating that the patient has recognized the indicator light to the control device 10.

The communication interface (I/F) 45 is connected to the server 140 and the viewer 150 via the network 130.

The indicator presenting unit 30 presents indicators (specifically, by transmitting light to a dome 30D whose inner surface is a reflective surface and to inspection points dp (see also FIG. 7) at a plurality of positions on the inner surface of the dome 30D). projector) and a projection device (not shown). Under the control of the control device 10 according to a visual field test program for visual field testing that will be described later, the projection device displays the index at a plurality of different position points (index presentation points) dp on the inner surface of the dome 30D at different times. present. The index light from the index presentation point dp reaches the test point corresponding to the index presentation point dp on the retina of the eye 12 to be examined. As described above, the patient who recognizes the indicator light turns on the switch, and the transmitter transmits a recognition signal to the control device 10.
The index presentation unit 30 is an example of a “presentation unit” of the technology of the present disclosure.

In the technology disclosed herein, the configuration of the index presenting unit 30 is not limited to a configuration including a dome 30D and a projection device. In the technology disclosed herein, for example, the index presenting unit 30 can be configured in such a way that a point on the inner surface of the dome 30D is self-luminous, or in such a way that index light is directly irradiated onto an inspection point on the retina of the subject's eye 12.

The server 140 and the viewer 150 are equipped with a computer equipped with a CPU, RAM, ROM, etc., an input device, a display, and an external storage device, etc.

FIG. 3 describes various functions realized by the CPU 12 of the perimeter 110 executing the visual field inspection program. The visual field test program includes a display processing function, an acquisition function, a judgment function, a reading function, a thinning test function, an estimation function, a judgment function, an additional test function, a storage function, a calculation function, and a visualization function. When the CPU 12 executes the visual field inspection program having each of these functions, the CPU 12, as shown in FIG. 82, a determination unit 84, an additional inspection unit 86, a storage unit 88, a calculation unit 90, and a visualization unit 92.
The thinning inspection unit 80 and the additional inspection unit 86 are examples of the “detection unit” of the technology of the present disclosure.

Figure 4 shows a flowchart of the visual field testing process executed by the CPU 12 of the perimeter 110. The visual field testing process shown in the flowchart of Figure 5 is realized by the CPU 12 executing a visual field testing program. The visual field testing process starts when the operator operates a start button (not shown) displayed on the input/display unit 50.

In step 202, the display processing unit 72 displays an input screen for the patient ID on the input/display unit 50. The operator inputs the patient ID into the input/display unit 50. In step 204, the acquisition unit 74 acquires the patient ID.

In step 206, the determining unit 76 inquires of the server 140 whether or not there is past data of visual field sensitivity test results corresponding to the acquired patient ID. That is, it is inquired whether visual field sensitivity test results are stored corresponding to the acquired patient ID. The determining unit 76 acquires the inquiry result from the server 140, and determines whether or not there is past data of visual field sensitivity test results corresponding to the patient ID, based on the acquired inquiry result. The past data is, for example, an estimated brightness value (visual field sensitivity) and a cumulative function of each inspection point, which will be described later. The past data is data for each patient and each test point of each patient. The past data may be acquired data of all tests performed in the past, or may be data updated after the latest test.

If it is determined that there is past data of the visual field sensitivity test results corresponding to the patient ID, in step 208, the reading unit 78 extracts information about the optic nerve of the eye to be examined from the past data corresponding to the inputted patient ID. Read the latest estimated brightness value (visual field sensitivity) of each test point in the entire test point set. On the other hand, if it is determined that there is no past data of visual field sensitivity test results corresponding to the patient ID, in step 210, the reading unit 78 reads a predefined brightness value for each test point in the set of all test points. Load. The predefined brightness value is, for example, a reference value for each test point in a set of all test points in a normal eye.

In step 212, the thinning-out inspection unit 80 executes a thinning-out inspection process to inspect the visual field sensitivity (brightness value) of the inspection points in the visual field of the patient's eye 12 to be inspected and to obtain a cumulative function.
The process of step 212 is an example of an "inspection process" or "inspection step" of the technique of the present disclosure.

In this embodiment, a patient-specific cumulative function is calculated for each of a number of test points selected from a set of test points for the optic nerve of the retina of the test eye 12.

Here, the cumulative function is a function that indicates the relationship between the luminance value of the index light and the number of inspections, and more specifically, the cumulative number of times used in the inspection corresponds to the luminance value of each index light. It is a function.

Figure 5A shows a flowchart of the thinning-out inspection process in step 212 in Figure 4. As shown in Figure 5A, in step 252, the thinning-out inspection unit 80 selects a plurality of inspection points to be actually inspected in the thinning-out inspection from the total inspection point set. The total inspection point set is a set of all inspection points in the visual field of the patient's subject eye 12 that are the subject of visual field sensitivity (luminance value) inspection. The total inspection point set may also be referred to as an inspection point set. The total inspection point set is a set of a plurality of inspection points. The total inspection point set is made up of inspection points that are actually inspected and inspection points that are not inspected. When the thinning-out inspection is performed, the total inspection point set is made up of a first inspection point that is the subject of the thinning-out inspection and is actually inspected, and a second inspection point that is not extracted in the thinning-out inspection and is not inspected. In addition, when an additional inspection is performed, which will be described later, the total inspection point set is made up of a first inspection point that is the subject of the thinning-out inspection, a third inspection point that is the subject of the additional inspection, and a fourth inspection point that is not actually inspected in either the thinning-out inspection or the additional inspection.

Figure 7 conceptually shows the entire set of test points for the optic nerve of the retina of the test eye 12. Each test point in the entire set of test points is arranged over the range that the index light reaches through the pupil of the test eye 12. First, the thinning-out test unit 80 selects, for example, randomly from the entire set of test points. In Figure 7, the multiple test points selected in this way that are actually tested in the thinning-out test are indicated by ●. The set of multiple test points indicated by ● that are actually tested in the thinning-out test is called test point set P. Test points excluding test point set P from the entire set of test points are indicated by ◯. The test points indicated by ◯ are points that are not subjected to visual field testing (thinned-out test points).

In step 252, the thinning inspection unit 80 then determines an initial luminance value to be used for the first inspection for each inspection point in the inspection point set P. Specifically, the thinning inspection unit 80 determines a luminance value that is predefined for each inspection point in the entire inspection point set as the initial luminance value.

In step 252, if the past data does not exist, the thinning inspection unit 80 initializes the cumulative function for each inspection point of the inspection point set P, as shown in FIG. 8A, for example, for each luminance value. Set the corresponding number of tests to zero.

Each inspection point in the inspection point set P is an example of a "first inspection point" in the technology of the present disclosure. The inspection points remaining after excluding inspection point set P from the total inspection point set are an example of a "second inspection point" in the technology of the present disclosure. The total inspection point set consists of inspection point set P, which is a set of multiple "first inspection points", and at least one "second inspection point". The set of "second inspection points" is thinned out from the total inspection point set, and the remaining set of first inspection points is set as inspection point set P.

In step 254, the thinning inspection unit 80 selects one inspection point p from the inspection point set P. Specifically, a variable p that identifies each inspection point in the inspection point set P is initialized to zero, and the variable p is incremented by 1. As a result, one inspection point p is selected from the inspection point set P by the variable p. Thinning inspection is an inspection that is performed after the thinning process.

In step 256, the thinning inspection unit 80 acquires the cumulative number of inspections for inspection point p based on the past data. The cumulative number of inspections is the number of inspections accumulated for each inspection point depending on the inspection. The cumulative number of inspections for inspection point p is, for example, the total number of inspections previously performed at inspection point p. If there is past data corresponding to the patient ID, the cumulative number of inspections for inspection point p is determined to be 1 or more. If there is no past data corresponding to the patient ID and the processing of step 258 is performed for the first time, the cumulative number of inspections for inspection point p is determined to be 0. On the other hand, if there is no past data corresponding to the patient ID but the processing of step 258 is the second or subsequent time, the cumulative number of inspections for inspection point p is determined to be 1 or more.

If it is determined that the cumulative number of tests for the test point p is 0, in step 260 the thinning test unit 80 presents the patient with the index light having the initial brightness value determined for the test point p in step 252. More specifically, the thinning inspection unit 80 controls the projection device so that the index light having the initial luminance value is incident on the inspection point p.

If it is determined that the cumulative number of inspections of the inspection point p is one or more, the cumulative function corresponding to the inspection point p has been obtained. The cumulative function is a function that is accumulated for each inspection point according to the inspection. In step 262, the thinning inspection unit 80 first extracts the luminance value of the index light to be presented based on the cumulative function regarding the inspection point p. More specifically, if it is determined that the cumulative number of inspections of the inspection point p is one or more, the thinning inspection unit 80 extracts a range of brightness values within which the number of inspections is a predetermined value from the cumulative function. do. For example, in this embodiment, a range of brightness values for which the number of inspections is less than 1 is extracted. Note that the range of brightness values in which the number of inspections reaches a predetermined value can be said to be an area that requires searching (inspection), as will be described later. Then, the thinning-out inspection unit 80 sets the brightness value of the index light to be presented from the extracted brightness value range. In the technology of the present disclosure, the brightness value of the index light to be presented may be randomly extracted and set from the extracted brightness value range, or may be set by extracting an arbitrarily determined value. . For example, the thinning inspection unit 80 may extract the brightness value of the index light to be presented from the range, such as the median value or 3/4 value within the range. Next, the thinning inspection unit 80 controls the projection device so that the index light is incident on the inspection point p at the extracted luminance value.

When the patient recognizes the presented indicator light, the patient turns on the response unit 60. As a result, a recognition signal is transmitted to the control device 10. However, if the patient does not recognize the indicator light even if it is presented, the patient does not turn on the response unit 60. Therefore, the recognition signal is not transmitted to the control device 10 even after a predetermined period of time has elapsed since the indicator was presented. At step 264, the thinning test unit 80 obtains the patient's response. More specifically, if the recognition signal is transmitted before a predetermined period of time has elapsed since the indicator was presented, the thinning test unit 80 obtains the patient's response that the indicator has been recognized. On the other hand, if the recognition signal is not transmitted even after the predetermined period of time has elapsed, the thinning test section 80 obtains the patient's response that the index was not recognized.

In step 266, the thinning inspection unit 80 stores in the external storage device 40 the brightness value of the presented index light for the inspection point p and the patient's response result of whether or not the index light was recognized.

At step 268, the thinning inspection unit 80 updates the cumulative function. As will be described later, the processes from step 254 to step 270 are repeated, and the cumulative function update process in step 268 is also repeated. The cumulative number of inspection points is also updated. By repeating the processes from step 254 to step 270, the indicator light with different brightness values is presented to the inspection point p multiple times, the patient's response to each indicator light is obtained, and the patient's response at each presentation is Based on this, the cumulative function corresponding to the inspection point p is updated. This will be explained in detail below.

Note that the response obtained in step 264 by repeating the processes from step 254 to step 270 is an example of the "first response" of the technology of the present disclosure.

When there is no past data as described above and the processing of step 252 is performed, the cumulative number of tests before the test is 0 for each luminance value as shown in FIG. 8A, and there is no cumulative function. By the processing of step 260, for example, an index light with an initial luminance value of 28 dB is presented to the patient. If the patient does not recognize the index light, the thinning-out test unit 80 increases the number of tests for each luminance value in the range determined by 28 dB as the boundary, that is, the range of 28 dB or more, by a predetermined amount as shown in FIG. 8B. The predetermined increase amount is, for example, 1. Therefore, as shown in FIG. 8B, the number of tests for each luminance value in the range of 28 dB or more is 1.

Here, for the test point p, the number of tests for each luminance value in the range of 28 dB or more is set to 1, even though only a luminance value of 28 dB is presented, for the following reason. If the patient does not recognize the 28 dB indicator light, it is presumed that the patient cannot recognize an indicator light with a luminance value greater than 28 dB, i.e., a light darker than the presented indicator light. Therefore, it is presumed that the patient's reaction to the test point p is that he or she could not recognize an indicator with a luminance value greater than 28 dB. Therefore, for luminance values greater than 28 dB, the patient's reaction is expected without actually conducting a test, so the number of tests is increased by 1, assuming that the test was conducted. The predetermined amount of increase may be a different value depending on each luminance value. For example, if the patient does not recognize the 28 dB indicator light, the number of tests for each luminance value in the range of 28 dB or more and less than 32 dB may be increased by 1, the number of tests for each luminance value in the range of 32 dB or more and less than 36 dB may be increased by 2, and the number of tests for each luminance value in the range of 36 dB or more may be increased by 3. This is equivalent to increasing the number of tests for each of the above brightness values by 1 for the three tests, including the pseudo test, on the assumption that the patient would not be able to recognize any of the pseudo 32 dB and 36 dB index lights presented in addition to the 28 dB index light.

When the results shown in FIG. 8B are obtained, as shown in FIG. 8C, it is unclear whether or not the range of brightness values smaller than 28 dB can be recognized for the test point p. It is necessary to search (inspect) to see if it can be recognized.

Therefore, in step 262, as shown in FIG. 8D, for example, 16 dB is extracted from the range of brightness values in which the number of tests is less than 1 from the cumulative function (see FIG. 8B), and an index light with a brightness value of 16 dB is presented. Then, assume that the patient does not recognize the index light with a brightness value of 16 dB. In this case, for the above reason, the thinning-out test unit 80 increases the number of tests for each brightness value in the range determined with 16 dB as the boundary (range of 16 dB or more) by a predetermined amount (for example, 1). Therefore, as shown in FIG. 8D, the cumulative function is updated so that the number of tests for brightness values from 16 dB to less than 28 dB becomes 1, and the number of tests for brightness values in the range of 28 dB or more becomes 2. In this case, as shown in FIG. 8E, it is necessary to search (test) whether or not the range of brightness values smaller than 16 dB can be recognized.

Therefore, in step 262, as shown in FIG. 8F, for example, 4 dB is extracted from the range of brightness values where the number of tests is less than 1 from the cumulative function (see FIG. 8D), and an index light with a brightness value of 4 dB is presented. Then, assume that the patient recognizes the index light with a brightness value of 4 dB. In this case, since the patient should recognize the index light with a brightness value of less than 4 dB, as shown in FIG. 8F, the thinning-out test unit 80 updates the cumulative function so that the number of tests for each brightness value in the range determined with 4 dB as the boundary (range of 4 dB or less) is increased by a predetermined amount (for example, 1). In this case, as shown in FIG. 8G, it is necessary to search (test) whether a range of brightness values greater than 4 dB and less than 16 dB can be recognized.

Therefore, in step 262, as shown in FIG. 8H, for example, 8 dB is extracted from the range of brightness values in which the number of tests is less than 1 from the cumulative function (see FIG. 8F), and an index light with a brightness value of 8 dB is presented. Then, assume that the patient recognizes the index light with a brightness value of 8 dB. In this case, since the patient should recognize the index light with a brightness value of less than 8 dB, as shown in FIG. 8H, the thinning-out test unit 80 updates the cumulative function so that the number of tests for each brightness value in the range determined with 8 dB as the boundary (range of 8 dB or less) is increased by a predetermined amount (for example, 1). Therefore, the number of tests for brightness values in the range of 8 dB or less and greater than 4 dB is 1, and the number of tests for brightness values in the range of 4 dB or less is 2. In this case, as shown in FIG. 8I, it is necessary to search (test) whether or not the range of brightness values greater than 8 dB and less than 16 dB can be recognized.

By repeating the processes from step 254 to step 270 in this manner, the range of luminance values that need to be searched (inspected) is narrowed. Also, by repeating the processes from step 254 to step 270 in this manner, the upper and lower limits of the range of luminance values that need to be searched (inspected) are determined, and a cumulative function with a downward convex shape can be created.

The above example described using Figures 8A to 8I is an example of a case where there is no past data as described above. On the other hand, if it is determined in step 206 of Figure 4 that there is past data, there is a cumulative function and an estimated value of visual field sensitivity for each test point in the test point set P corresponding to the patient ID. In this case, when the processing of step 258 in Figure 5A is executed for the first time, a positive determination is made in step 258, and in step 262, either or both of the cumulative function and the estimated value of visual field sensitivity for each test point in the test point set P in the above past data are used. The method of selecting the luminance value of the index term to be presented is, for example, to present the average value of 30 dB when the luminance value with the smallest cumulative function value is 32 dB and the estimated value of visual field sensitivity is 28 dB.

In step 270, the thinning inspection unit 80 determines whether the thinning inspection end determination condition is met.

Here, the thinning test completion determination condition is that the processes from step 254 to step 270 have been executed a predetermined number of times for each test point in the test point set P. The predetermined number of times may be, for example, any specified number of times, such as 3, 4, 5, 6, 7, 8, 9, or 10 times. Furthermore, when the probability that the patient's test point p recognizes light of each brightness value in the range of brightness values that need to be searched (tested) reaches a predetermined range, the processes from step 254 to step 270 are executed a predetermined number of times. It may be determined that the For example, if the probability that the patient's test point p recognizes light of each brightness value in the range of brightness values that needs to be searched (tested) is within 50%, the processes from step 254 to step 270 are performed a predetermined number of times. It may be determined that it has been executed.

If the processes from step 254 to step 270 have not been performed the predetermined number of times for inspection point p, the thinning inspection process returns to step 254. In this case, in step 254, variable p is incremented by 1, and the above processes are performed for another inspection point in the inspection point set P.

When the processes from step 254 to step 270 are executed a predetermined number of times for each inspection point in the inspection point set P, an affirmative determination is made in step 270, and the thinning inspection process in step 212 of FIG. 4 ends. The visual field test process continues at step 214 .

As described above, the processes from step 254 to step 270 are executed a predetermined number of times for each test point in the test point set P. Thus, in this embodiment, the range of luminance values that need to be searched (tested) is gradually narrowed, and the luminance values that the patient's test points will recognize with a predetermined probability can be identified. This makes it possible to perform a visual field test using light with luminance values that the patient's test points will recognize with a predetermined probability. The range of luminance values that need to be searched (tested) may also be referred to as a priority search area. In the search step, the search may be carried out so as to narrow the range of the priority search area so that the upper and lower limits of the priority search area are determined.

As shown in Figure 7, inspection point set P is a set of inspection points indicated by ●, and have been inspected. Hereinafter, each inspection point in inspection point set P will be referred to as an inspected point. Each inspection point in the total set of inspection points other than inspection point set P is indicated by a circle. Hereinafter, each inspection point in the total set of inspection points other than inspection point set P will be referred to as an uninspected point. As shown in Figure 7, uninspected points may be located around inspected points.

In step 214, the acquisition unit 74 acquires the thinned-out inspection results of each inspected point. The thinned-out inspection results include the cumulative function obtained for each inspection point in the inspection point set P, and the luminance value (dB) and reaction result of the index light in each inspection of the inspected point as shown in FIG. 9. For example, the following luminance value and reaction result are obtained for a certain inspected point (inspection point x ₃ ). That is, in the first inspection, the luminance value is 24 (dB) and the reaction result is No (not recognized). In the second inspection, the luminance value is 20 (dB) and the reaction result is No. In the third inspection, the luminance value is 16 (dB) and the reaction result is Yes (recognized). In addition, the following luminance value and reaction result are obtained for another inspected point (x ₅ ). That is, in the first inspection, the luminance value is 16 (dB) and the reaction result is Yes. In the second inspection, the luminance value is 18 (dB) and the reaction result is Yes. In the third test, the luminance value is 20 (dB) and the response result is Yes. In the fourth test, the luminance value is 24 (dB) and the response result is Yes.

In step 216, the estimation unit 82 calculates the overall visual field sensitivity, that is, the visual field sensitivity (estimated luminance value).
Note that step 216 is an example of the "estimation step" and "estimation step" of the technology of the present disclosure.

Although details will be described later (see FIG. 6), in this embodiment, the estimation unit 82 calculates the visual field sensitivity (estimated luminance value) for each inspection point of the entire inspection point set including the inspection point set P. That is, the estimation unit 82 estimates the estimated luminance value of each inspected point. Furthermore, the estimation unit 82 estimates the estimated luminance value of an uninspected point from the estimated luminance value of each inspected point using a stochastic process. Furthermore, in this embodiment, the estimation unit 82 estimates a reliability indicating the likelihood of the estimated luminance value of an uninspected point using a stochastic process.

By the way, in the present embodiment, the estimation unit 82 numerically obtains the estimated brightness value of the uninspected point. The stochastic process in this case is also called a "random field" (https://kotobank.jp/word/%E7%A2%BA%E7%8E%87%E5%A0%B4 -1153809). Therefore, in the present embodiment, the estimating unit 82 estimates the estimated brightness value of the uninspected point from the estimated brightness value of each inspected point using a stochastic process or a random field. Then, the reliability of the estimated brightness value of the uninspected point is estimated.

In this embodiment, Gaussian Process Regression (GPR) is used as the stochastic process. Note that in the technology disclosed herein, the stochastic process is not limited to Gaussian Process Regression. Other examples of stochastic processes include t-process regression.

As described above, the reliability is numerical data representing the certainty of the estimated brightness value of the uninspected point. Specifically, the reliability is numerical data indicating the possible range of the visual field sensitivity of the uninspected point, centered on the estimated brightness value of the uninspected point.

Note that each inspected point is an example of a "first inspection point" of the technology of the present disclosure. Each uninspected point is an example of a "second inspection point" of the technology of the present disclosure.

Figure 6 shows a flowchart of the process of estimating the overall visual field sensitivity in step 216 in Figure 4. As shown in Figure 6, in step 301, the estimation unit 82 calculates an estimated luminance value of each inspected point. Specifically, to calculate the estimated luminance value (visual field sensitivity) of each inspected point, the estimation unit 82 first uses a luminance value-correct answer rate curve shown in Figure 10, which indicates the relationship between the luminance value and the probability fa, b (θ) that the inspection point on the optic nerve of the patient's eye 12 recognizes the index light of that luminance value. The luminance value-correct answer rate curve is defined by the following formula.

a is a constant greater than 0. b is a value included in R (R is a set of all real numbers). In other words,

It is.

θ is the brightness value used for each test at the test point.

The estimation unit 82 uses the equation showing the above curve to obtain the likelihood L(a, b) of each inspected point from the following equation. More specifically, for example, in the first inspection at a certain inspected point, if the luminance value is 20 dB and the patient's reaction is recognized (Yes), the estimation unit 82 uses the probability fa, b (20). In the second inspection, if the luminance value is 24 dB and the patient's reaction is not recognized (No), the estimation unit 82 uses (1-fa, b (24). In the third inspection, if the luminance value is 16 dB and the patient's reaction is recognized (Yes), the estimation unit 82 uses the probability fa, b (16). For each inspected point, the estimation unit 82 uses the product of the values according to the results of all the inspections as described above to obtain b at which the likelihood (a, b) is maximized.

Using the obtained b, the likelihood L(a, b) of each inspected point is calculated as the estimated luminance value of each inspected point. As a result, for example, as shown in Fig. 11, the estimated luminance value of the inspected point ( _x2 ) is 21 dB, the estimated luminance value of the inspected point ( _x3 ) is 19.6 dB, and the estimated luminance value of the inspected point ( _x5 ) is 31.5 dB.

In step 303, the estimation unit 82 uses Gaussian process regression to calculate an estimated luminance value for each uninspected point. Specifically, the estimation unit 82 uses the estimated luminance values of each inspected point to calculate an estimated luminance value E[X(x*)|D] for each uninspected point from the following formula:

K(x, x') in k* _D in Equation 4 and _KD in Equation 5 is the following Gaussian RBF kernel (Radial Basis Function kernel).

The x in K(x, x') represents each of x ₁ , x ₂ , ..., XN, and each of x ₁ , x ₂ , ..., _XN is the XY coordinate of the location of the inspected point.

x' of K(x, x') is the XY coordinate of each uninspected point x*.

_YD , y1, y2, ...YN are the estimated luminance values of each inspected point.

The estimated brightness value E[X(x*)|D] of each uninspected point obtained as above is the average brightness value estimated from the estimated brightness value of each uninspected point. It is a value.

In step 305, the estimation unit 82 uses Gaussian process regression to calculate the variance V[X(x*)|D] from the following formula as the reliability of the estimated brightness value of each uninspected point that was not inspected.

k** is

It is.

When processing of step 305 is completed, processing of step 216 in FIG. 4 is completed.

Fig. 12 is a diagram showing the relationship between the inspection points (including uninspected points and inspected points) and the estimated luminance value of each inspection point. When the process of step 216 in Fig. 4 is completed, for example, as shown in Fig. 12, the estimated luminance value of each inspected point ( _x2 , _x3 , _x5 , ...) is obtained, and the estimated luminance value and its reliability of the uninspected points ( _x1 , _x4 , _x6 , _x7 , _x8 , ...) are obtained.

12, for example, an uninspected point ( _x4 ) is adjacent to an inspected point ( _x3 , _x5 ) and is relatively close to the inspected point ( _x3 , _x5 ). However, an uninspected point ( _x8 ) is relatively far from the inspected point (x5). Therefore, the reliability value of the estimated brightness value of the uninspected point ( _x4 ) is relatively small, but the reliability value of the estimated brightness value of the uninspected point ( _x8 ) is relatively large.

In step 216, the estimation unit 82 displays the estimated brightness values of each inspected point and each uninspected point, and the reliability of the estimated brightness values of each uninspected point, on the input/display unit 50, as shown in FIG. 12, for example.

In this manner, in this embodiment, it is possible to estimate both the brightness value of the untested point and the reliability of the brightness value using the results of the thinned-out test points. According to this embodiment, an operator performing an inspection can not only obtain estimated brightness value data of uninspected points, but also judge how likely the estimated brightness values of uninspected points are from the obtained reliability. can. Furthermore, in this embodiment, by actually inspecting only some of the inspection points in the set of inspection points, it is possible to estimate the sensitivity and reliability of uninspected points, thereby reducing inspection time. be able to.

When the process of step 216 in FIG. 4 is completed, the visual field test process proceeds to step 218. In step 218, the determination unit 84 determines whether the determination conditions for determining whether it is necessary to add an inspection to the uninspected points are satisfied. If it is determined that the determination condition is satisfied, the visual field test process proceeds to step 220, and if it is determined that the determination condition is not satisfied, the visual field test process proceeds to step 226.

The judgment conditions here include, first, a condition that is determined automatically by the control device 10, and a condition that is determined by the operator when an uninspected point that requires additional inspection is specified.

The conditions automatically determined by the control device 10 include, for example, firstly, the existence of an uninspected point whose reliability is equal to or higher than a predetermined value. If there is an uninspected point whose reliability is equal to or higher than a predetermined value, it is determined that the reliability of the estimated brightness value of the uninspected point is low, and therefore it is determined that the uninspected point needs to be inspected. Thereby, it is determined that the determination condition is satisfied. Second, there are uninspected points where the estimated brightness value is less than a predetermined value (dB), for example, 22 dB. At an uninspected point whose estimated brightness value is less than a predetermined value (dB), unless a relatively bright index light is irradiated, the uninspected point cannot recognize the index light. It is determined that there is an abnormality. Thereby, it is determined that the determination condition is satisfied.

The case where the condition is that the operator has specified an uninspected point that requires additional inspection is as follows. As described above, for example, as shown in FIG. 12, the estimated luminance value of each inspected point and each uninspected point and the reliability of the estimated luminance value of each uninspected point are displayed, and when the operator determines that there is an uninspected point whose reliability is equal to or greater than a predetermined value and an uninspected point whose estimated luminance value is less than a predetermined value (dB), he or she specifies the uninspected point that requires additional inspection on the display screen of the input/display unit 50. This makes it determined that the judgment condition is satisfied.

As described above, an uninspected point that is determined to require additional inspection will be hereinafter referred to as an additional inspection point. The additional inspection point is an example of the "third inspection point" of the technology of the present disclosure.

In step 220, the additional inspection unit 86 executes additional inspection processing for the additional inspection point.
The process of step 220 is an example of the "additional inspection step" of the technique of the present disclosure.

Figure 5B shows a flowchart of the additional inspection process of step 220 in Figure 4. As shown in Figure 5B, in step 282, the additional inspection unit 86 selects a set Q of additional inspection points to be additionally inspected, and determines an initial luminance value to be used for inspection for each additional inspection point in set Q. The initial luminance value is, for example, a value (dB) that is a predetermined value greater than the estimated luminance value of the additional inspection point.

In step 284, the additional inspection unit 86 sets a variable q that identifies each additional inspection point in the set Q of additional inspection points to zero, and increments the variable q by one. As a result, the additional test points identified by the additional test point set Q variable q are selected.

In step 286, the additional inspection unit 86 obtains the number of inspections for each brightness value from the cumulative function of each additional inspection point in the set Q of additional inspection points.

In step 288, the additional inspection unit 86 determines whether the cumulative number of inspections of the additional inspection point q identified by the variable q is 1 or more. Further, it is determined whether the number of times of testing for each brightness value of the additional testing point q identified by the variable q is 1 or more. By repeatedly executing steps 284 to 300, the cumulative function is updated for the additional inspection points, and the number of inspections is determined to be 1 or more.

If step 288 is executed first, a negative determination is made in step 288, and in step 290, the additional testing unit 86 presents the previously determined initial brightness value to the patient. Note that the content of the process in step 290 differs in that it is executed for additional inspection points, but the specific process content is the same as that in step 260 of FIG. 5A, so a description thereof will be omitted.

When steps 284 to 300 are repeatedly executed and step 288 is executed two or more times, step 288 is determined to be positive, and in step 292, the additional examination unit 86 extracts a luminance value to be presented based on the cumulative function. The additional examination unit 86 presents index light of the extracted luminance value to additional examination point q of the patient's test eye. Note that although the processing content of step 292 differs in that it is performed for additional examination points, the specific processing content is similar to that of step 262 in FIG. 5A, and therefore a description thereof will be omitted.

The additional testing unit 86 acquires the patient's response in step 294, saves the test results in step 296, updates the cumulative function in step 298, and determines whether the additional testing end determination condition is met in step 300. Note that the contents of the processing from steps 294 to 300 are similar to the processing from steps 264 to 270 in FIG. 5A, and therefore the description thereof will be omitted.

In this embodiment, the processes from step 284 to step 300 are executed a predetermined number of times (same as the predetermined number of times of step 270 in FIG. 5A) for each additional test point in the set Q of additional test points. Therefore, in this embodiment, the range of brightness values that need to be searched (inspected) is gradually narrowed, and the visual field test is performed using light with a brightness value that the patient's test point recognizes with probability within a predetermined range. can be executed.

When step 300 is judged as positive, the process of step 220 in FIG. 4 is completed, and in step 224, the acquisition unit 74 acquires the additional inspection result. The additional inspection result includes the cumulative function obtained for each additional inspection point in the set Q of additional inspection points, and the luminance value (dB) and reaction result of the index light in each inspection of the additional inspection point as shown in FIG. 13. For example, the following luminance value and reaction result are obtained for a certain additional inspection point (inspection point x ₄ ). That is, in the first inspection, the luminance value is 24 (dB), and the reaction result is No. In the second inspection, the luminance value is 20 (dB), and the reaction result is No. In the third inspection, the luminance value is 18 (dB), and the reaction result is Yes. In addition, the following luminance value and reaction result are obtained for another inspected point (x ₈ ). That is, in the first inspection, the luminance value is 34 (dB), and the reaction result is No. In the second test, the luminance value is 28 (dB) and the response result is Yes. In the third test, the luminance value is 30 (dB) and the response result is Yes. In the fourth test, the luminance value is 32 (dB) and the response result is Yes.

In step 216, the estimation unit 82 estimates the overall visual field sensitivity, i.e., an estimated luminance value for each test point in the entire set of test points, based on the cumulative functions obtained for each test point in the set of additional test points Q and each test point in the set of test points P.

Specifically, the estimation unit 82 estimates an estimated luminance value of each inspected point and each additional inspection point in the set of all inspection points. The estimation unit 82 estimates an estimated luminance value of each uninspected point other than each inspected point and each additional inspection point in the set of all inspection points, and the reliability of the estimated luminance value.

Note that the uninspected points in the set of all inspection points other than each inspected point and each additional inspection point are an example of the "fourth inspection point" of the technology disclosed herein.

When step 216 is performed again after steps 220 and 224, the content of step 216 is substantially the same as the content of step 216 when it is performed for the first time. Therefore, the following description will mainly focus on the differences.
Note that the process of step 216 being carried out again after steps 220 and 224 is an example of an "additional estimation step" of the technique of the present disclosure.

In step 301 of FIG. 6, the estimation unit 82 calculates an estimated luminance value of each inspected point. Specifically, similar to the process described above, the estimation unit 82 calculates the log-likelihood l(a, b) = logL(a, b) of each additional inspection point.

Also, y1, y2, ... YN of YD in step 303 are the estimated brightness values of each inspected point and each additional inspection point.

As a result of the above, for example, as shown in FIG. 14, 22 dB is calculated as the estimated brightness value at the additional test point (x ₄ ), and 30 dB is calculated as the estimated brightness value at the additional test point (x ₈ ). .

The above processing ends the processing of step 216, and in step 218, the judgment unit 84 judges whether or not the judgment conditions are satisfied as described above. If it is judged that the judgment conditions are satisfied, the visual field examination processing proceeds to step 220, and if it is judged that the judgment conditions are not satisfied, the visual field examination processing proceeds to step 226.

In step 226, the storage unit 88 stores the cumulative functions of each inspected point and each additional inspection point, if any, in the external storage device 40, and in step 228, the storage unit 88 stores the estimated luminance value of each inspection point in the entire set of inspection points and the reliability of the estimated luminance value of the uninspected point in the external storage device 40. In step 226, the storage unit 88 transmits the cumulative functions of each inspected point and each additional inspection point, if any, in the entire set of inspection points, the estimated luminance value of each inspection point, and the reliability of the estimated luminance value of the uninspected point, to the server 140 in correspondence with the patient ID. The server 140 stores the cumulative functions of each inspected point and each additional inspection point, if any, in correspondence with the patient ID, the estimated luminance value of each inspection point in the entire set of inspection points, and the reliability of the estimated luminance value of the uninspected point, in the external storage device of the server 140.

In step 230, the visualization unit 92 calculates the cumulative function of each inspected point and each additional inspection point if executed, the estimated luminance value of each inspection point of the entire inspection point set, and the estimated luminance of the uninspected point. Create screen data to visualize the reliability of values.
The process in step 230 is an example of a "generation process" of the technology of the present disclosure.

Specifically, the screen data first includes a graph showing the estimated luminance value of each inspection point in the entire set of inspection points, as shown in Figure 15A.

Secondly, as shown in FIG. 15B, this is a graph showing the estimated luminance value of each inspection point in the entire set of inspection points, to which the reliability of the estimated luminance value at uninspected points is added, centered on the visual field sensitivity.

Thirdly, as shown in FIG. 16, there is a visual field sensitivity map. The visual field sensitivity map is an example of a method of displaying visual field sensitivity distribution. The visual field sensitivity map displays the distribution of visual field sensitivity data of a plurality of test points included in the test point set. The visual field sensitivity map may be generated for the entire test point set or for a part of the test point set. Note that the visual field sensitivity map also includes reliability data. Specifically, as shown in FIG. 16, the visual field sensitivity map 510M includes an image simulating the fundus of the eye 12 to be examined, with test points marked with * where the visual field sensitivity is less than a predetermined value (dB). This is the data on the screen. Further, the visual field sensitivity map 510M is screen data that can display a range 510 of inspection points whose reliability is equal to or higher than a predetermined value as a dotted line. Also, for example, uninspected points among all the inspection points in the set of all inspection points are displayed in a color different from the color of the inspected points and additional inspection points.For example, when the cursor is positioned on an uninspected point, , data on a screen that can display the reliability of estimated brightness values of uninspected points may be used.

As described above, in this embodiment, the process from step 254 to step 270 is executed a predetermined number of times for each test point (see ● in FIG. 7) in the test point set P. Therefore, in this embodiment, the range of luminance values that need to be searched (tested) is gradually narrowed, and the visual field test can be performed using light with luminance values that the patient's test points recognize with a certain probability. Therefore, this embodiment has the effect of being able to perform the visual field test in a short time. The above will be described with reference to FIGS. 17A to 18C. In each of FIGS. 17A to 18C, the horizontal axis represents the number of tests, and the vertical axis represents the difference between the correct sensitivity value and the estimated sensitivity. 0 on the vertical axis means that the estimation can be performed with high accuracy.
In addition, the technique disclosed herein gradually narrows the range of luminance values that need to be searched (tested), but the visual field may be tested by randomly selecting luminance values without using a cumulative function.

Figures 17A to 17C show the number of tests required to ensure sufficient precision in the visual field test results when the light intensity is randomly selected at three different points on the optic nerve of the fundus of the subject's eye. ing. FIGS. 18A to 18C show the number of examinations required to ensure sufficient accuracy when applying the method of this embodiment at three different points on the optic nerve of the fundus of the eye to be examined.

In the case of randomly selecting brightness values (FIGS. 17A to 17C), 70 to 80 tests are required, whereas when the brightness values are selected using the method of this embodiment (FIGS. 18A to 18C), 3 to 15 tests are sufficient. Therefore, it can be seen that the method of this embodiment contributes to reducing the number of inspections.

In the case of a method of linearly interpolating the estimated luminance values of uninspected points as shown in FIG. 19, the reliability of the interpolated value is not taken into consideration. For example, in the case of a method of interpolating by connecting the estimated luminance values of two uninspected points with a straight line or using the spline method (interpolating using a polynomial), the reliability of the interpolated value is not taken into consideration.

In contrast, in this embodiment, the reliability of the estimated brightness value is also estimated along with the estimated brightness value of an uninspected point. Specifically, in FIG. 20, the horizontal axis shows each inspection point, and the vertical axis shows the corresponding estimated brightness value of each inspection point. The dotted line is the line of correct values, and the solid line is the line of estimated brightness values, with the reliability shown as a width centered on the estimated brightness value. As the reliability is shown as shown in FIG. 20, this embodiment allows the operator to recognize the accuracy of the estimated brightness value.

In the embodiment described above, Gaussian process regression is used as the stochastic process, and a Gaussian RBF kernel is used. In the technology disclosed herein, the stochastic process is not limited to Gaussian process regression, and for example, the following polynomial kernel may be used.

The following Matern kernel may also be used.
(x, x') is as above. c is a real number. p is a positive integer.

(x, x') are as described above. Kv is a modified Bessel function of the second kind. v is a real number. Γ(v) is a gamma function.

In step 216 in FIG. 4 of this embodiment, the estimation unit 82 estimates the estimated brightness value of the uninspected point, and estimates the reliability of the estimated brightness value of the uninspected point. The technology of the present disclosure is not limited to this. The estimation unit 82 calculates the range of possible values of the estimated brightness value of each uninspected point from the estimated brightness value of each inspected point, and assigns the value (for example, the central value) within the calculated range to each point. It may be calculated as an estimated brightness value of an uninspected point.

Each of the stochastic processes described above is the same for each test point in the entire test point set, but the technology of the present disclosure is not limited thereto. For example, different stochastic processes may be used for a central region of a predetermined range including the center of the fundus and a peripheral region around the central region.

Further, the unexamined point to which the estimated brightness value is interpolated is located in the range where the index light reaches through the pupil of the eye 12 to be examined, but the unexamined point is located in a range adjacent to the range where the index light reaches, that is, where the index light does not reach. In other words, estimated brightness values may be estimated even for points at positions where visual field inspection is not possible.

In each of the examples described above, the case where the visual field test processing is realized by a software configuration using a computer has been illustrated, but the technology of the present disclosure is not limited to this. For example, instead of using a software configuration using a computer, image processing may be performed only by a hardware configuration such as an FPGA (Field-Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit). Part of the image processing may be executed by a software configuration, and the remaining processes may be executed by a hardware configuration.

As described above, the technology of the present disclosure includes cases in which the visual field test processing is implemented by a software configuration using a computer and cases in which it is not implemented, and therefore includes the following technology.

(First technology)
an inspection unit that inspects the sensitivity of a first inspection point selected from a set of inspection points of a plurality of inspection points;
an estimation unit that estimates the sensitivity of a second test point different from the first test point and the reliability of the sensitivity of the second test point based on the sensitivity of the first test point;
A visual field testing device comprising:

(Second Technology)
an inspection step in which an inspection unit inspects sensitivity of a first inspection point selected from a set of a plurality of inspection points;
an estimation step of estimating, based on the sensitivity of the first inspection point, a sensitivity of a second inspection point different from the first inspection point and a reliability of the sensitivity of the second inspection point, by an estimation unit;
A visual field examination method comprising:

Based on the above disclosure, the following technology is proposed.
(Third technology)
A computer program product for visual field testing,
The computer program product comprises a computer readable storage medium that is not itself a transitory signal;
A program is stored in the computer readable storage medium,
The program is
to the computer,
a test step of testing the sensitivity of a first test point selected from a test point set of a plurality of test points;
an estimation step of estimating the sensitivity of a second test point different from the first test point and the reliability of the sensitivity of the second test point based on the sensitivity of the first test point;
A computer program product that executes.
Note that the control device 10 is an example of a "computer program product" of the technology of the present disclosure.

The visual field testing process described above is merely one example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the order of processing may be changed, without departing from the spirit of the invention. The technology disclosed in this specification is a method for testing an eye to be examined, including the steps of irradiating light at a plurality of light intensities to an examination point set on the retina of the eye to be examined, detecting the sensitivity of the examination point on the retina, estimating the sensitivity at a site other than the examination point based on the detected sensitivity at the examination point, and evaluating the reliability of the estimated sensitivity.

All publications, patent applications, and technical standards described in this specification are incorporated by reference into this specification to the same extent as if each individual publication, patent application, and technical standard was specifically and individually indicated to be incorporated by reference.

110 Visual field meter 10 Control device 12 CPU
14 ROM
72 Display processing unit 74 Acquisition unit 76 Judgment unit 78 Reading unit 80 Inspection unit 82 Estimation unit 84 Determination unit 86 Additional inspection unit 88 Storage unit 90 Calculation unit 92 Visualization unit 510M Visual field sensitivity map

Claims (11)

an inspection step of inspecting the sensitivity of the plurality of first inspection points selected from the inspection point set of the plurality of inspection points;
an estimation step of estimating the sensitivity of a second test point different from the first test point and the reliability of the sensitivity of the second test point from the sensitivity of the first test point using a stochastic process ;
Visual field testing methods including. The visual field testing method according to claim 1, wherein the second test point is a point located around the first test point. The visual field testing method according to claim 1 or 2, further comprising a generating step of generating a visual field sensitivity map using the sensitivity of the first test point and the sensitivity of the second test point. The visual field testing method according to claim 3, characterized in that the visual field sensitivity map also includes data on the reliability. The method of claim 1 , wherein the stochastic process is a Gaussian process. A visual field examination method described in any one of claims 1 to 5, wherein the reliability is numerical data indicating the possible range of sensitivity of the second examination point, centered on the estimated sensitivity value of the second examination point. an additional inspection step of inspecting the sensitivity of a third inspection point, which is an inspection point other than the first inspection point and is selected from the set of inspection points, based on at least one of the sensitivity and the reliability of the second inspection point;
an additional estimation step of calculating a sensitivity of a fourth test point different from the first test point and the third test point and a reliability of the sensitivity of the fourth test point based on the sensitivity of the first test point and the sensitivity of the third test point;
The visual field examination method according to claim 1 , further comprising: memory and
a processor connected to the memory;
The processor includes:
an inspection step of inspecting the sensitivity of the plurality of first inspection points selected from the inspection point set of the plurality of inspection points;
an estimation step of estimating the sensitivity of a second test point different from the first test point and the reliability of the sensitivity of the second test point from the sensitivity of the first test point using a stochastic process ;
A visual field testing device that performs The processor further comprises: selecting the first test point from the set of test points;
The visual field testing device according to claim 8, further comprising: determining the brightness of an indicator to be presented at the first test point. a presentation unit that presents the luminance index for the first inspection point;
a detection unit that obtains the test subject's reaction to the indicator;
The visual field testing device according to claim 9, further comprising:. to the computer,
an inspection step of inspecting the sensitivity of the plurality of first inspection points selected from the inspection point set of the plurality of inspection points;
an estimation step of estimating the sensitivity of a second test point different from the first test point and the reliability of the sensitivity of the second test point from the sensitivity of the first test point using a stochastic process ;
A program to run.

Images