Information processing device and program
Patent Information
- Application Number
- JP2025029560
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-02-26
- Publication Date
- 2026-09-07
AI Technical Summary
【0011】 本発明によると、視野検査の結果に基づいて、指定された日時における被験者の視野の情報を配列して表示可能となる。
Smart Images

Figure 2026142444000001_ABST
Abstract
Description
[Technical Field]
[0001] The present invention relates to an information processing apparatus and a program for processing information related to the visual field of a subject to be examined. [Background Art]
[0002] Visual field testing is important for determining treatment methods for conditions such as glaucoma. Currently, the test results are displayed by presenting the measurement results related to the visibility at a plurality of measurement points within the visual field of either the left or right eye, and the mean deviation (MD) which represents the weighted average deviation from the visibility of a normal person of the same age as the subject.
[0003] Here, the value of the measurement result for each measurement point (such as the value of visible brightness) generally has large variations even when compared with adjacent measurement points. Therefore, when visual field information is displayed as a grayscale image, the measurement result values are quantized before being converted into a grayscale image. For this reason, in the current situation, although an outline can be understood, detailed information cannot be obtained. Accordingly, the current practice is to also display the numerical values of the measurement results together. [Prior Art Documents] [Non-Patent Literature]
[0004] [Non-Patent Literature 1] inet:Surabhi Ruia, Koushik Tripathy, "Humphrey Visual Field", [online], August 25, 2023, National Library of Medicine, [Retrieved on January 31, 2025], Internet <URL: https: / / www.ncbi.nlm.nih.gov / books / NBK585112 / > [Summary of the Invention] [Problem to be Solved by the Invention]
[0005] In order to make a diagnosis based on the results of a visual field test, a doctor needs to, for each of the left and right eyes of the subject, For each of the 24-degree (or 30-degree) and 10-degree fields of view • Grayscale image, Numerical display • p-value of the total deviation • p-value of pattern deviation, There is a demand to refer to a large amount of information, such as the above.
[0006] However, with the conventional information processing devices described above that process the results of visual field tests, the information for each eye's 24-degree (or 30-degree; hereafter referred to as the 24-degree visual field, but can be replaced with the 30-degree visual field) and 10-degree visual field is displayed separately. Therefore, it is necessary to switch between displays many times, and it is not possible to compare and refer to them side by side.
[0007] Furthermore, visual field testing is time-consuming and burdensome for the subjects, so tests to obtain a 24-degree visual field and tests to obtain a 10-degree visual field are usually not performed on the same day. Therefore, even though switching between the results would have sufficed, subjects ended up referring to test results from different days.
[0008] In recent years, there have been attempts to combine the grayscale image and numerical display of the 10-degree visual field test results with the grayscale image and numerical display of the 24-degree visual field test results (the part corresponding to the results of the 10-degree visual field test). However, due to the circumstances described above, the results of tests conducted on different days are combined, so the displayed results are currently only for reference purposes.
[0009] This invention has been made in view of the above circumstances, and one of its objectives is to provide an information processing device and a program that can arrange and display the information necessary for referencing the results of a visual field test. [Means for solving the problem]
[0010] One aspect of the present invention, which solves the problems of the above-mentioned conventional example, is an information processing device comprising: acquisition means for acquiring first estimated field of view information within a 30-degree or 24-degree center of the left and right eyes of a subject at a specified date and time, and second estimated field of view information within a 10-degree center of the left and right eyes at the specified date and time, obtained based on the examination results of the subject; synthesis means for synthesizing the estimated field of view of the subject's left and right eyes at the specified date and time based on the first estimated field of view information and the second estimated field of view information; and display means for generating a pair of field of view images representing the estimated field of view of the subject's left and right eyes at the specified date and time, and displaying the field of view images of the left and right eyes in an arrangement. [Effects of the Invention]
[0011] According to the present invention, it becomes possible to arrange and display information about the subject's visual field at a specified date and time based on the results of a visual field test. [Brief explanation of the drawing]
[0012] [Figure 1] This is a block diagram of the configuration of an information processing device according to an example of an embodiment of the present invention. [Figure 2] This is a functional block diagram of an information processing device according to an example of an embodiment of the present invention. [Figure 3] This is an explanatory diagram illustrating an example of the structure of field-of-view information processed by an information processing device according to an embodiment of the present invention. [Figure 4] This is an explanatory diagram illustrating an example of a display mode by an information processing device according to an embodiment of the present invention. [Figure 5] This flowchart illustrates an example of the operation of an information processing device according to an embodiment of the present invention. [Modes for carrying out the invention]
[0013] Embodiments of the present invention will be described with reference to the drawings. An example of an information processing device 1 according to an embodiment of the present invention can be realized by a general computer device including a control unit 11, a storage unit 12, an operation unit 13, a display unit 14, and an interface unit 15, as illustrated in Figure 1.
[0014] In this embodiment, the control unit 11 is a program control device such as a CPU and operates according to a program stored in the memory unit 12. In this embodiment, the control unit 11 acquires the examination results of the person being examined, for example, via the interface unit 15. Based on these examination results, the control unit 11 acquires first estimated visual field information for the person's left and right eyes within a 30-degree or 24-degree center at a specified date and time, and second estimated visual field information for the person's left and right eyes within a 10-degree center at the same specified date and time, and synthesizes the estimated visual fields of the person's left and right eyes at the specified date and time based on the first estimated visual field information and the second estimated visual field information.
[0015] The control unit 11 then generates a pair of field-of-view images representing the estimated field of view of the subject's left and right eyes at the specified date and time, and displays the field-of-view images of the left and right eyes in an array. An example of the operation of this control unit 11 will be described later.
[0016] The storage unit 12 is a memory device, disk device, etc., and holds programs executed by the control unit 11. This storage unit 12 also functions as the work memory of the control unit 11. Furthermore, in this embodiment, the storage unit 12 pre-stores information on the sensitivity threshold of normal subjects (hereinafter referred to as normal visual field information) for each attribute information of the subject (age, gender, etc.) and for each attribute such as age and gender specified by that attribute information. The sensitivity threshold information in the normal visual field information represents the sensitivity threshold of a normal subject at measurement points (so-called 24-2 and 10-2 measurement points) in the 24-degree (or 30-degree, hereinafter referred to as the 24-degree visual field, but may be replaced with the 30-degree visual field) and 10-degree visual fields, respectively, measured by a Humphrey perimeter or the like.
[0017] The operation unit 13 is constituted by a mouse, a keyboard or the like, accepts an instruction operation performed by a user, and outputs information representing the content of the accepted instruction operation to the control unit 11. The display unit 14 is constituted by a display or the like, and displays various types of information such as visual field images according to instructions input from the control unit 11.
[0018] The interface unit 15 is, for example, a USB (Universal Serial Bus) interface, a network interface or the like, connected to an inspection device C such as an optical coherence tomography (OCT) device, and accepts input of information representing visual field inspection results output by the inspection device C or the like. The interface unit 15 outputs the input information to the control unit 11.
[0019] Next, the operation of the control unit 11 according to the present embodiment will be described. In one example of the present embodiment, the control unit 11 operates according to a program stored in the storage unit 12, and as exemplified in FIG. 2, implements a configuration functionally including an inspection result acquisition unit 21, a condition setting unit 22, a visual field estimation unit 23, a deviation information generation unit 24, a synthesis unit 25, and a display control unit 26.
[0020] The inspection result acquisition unit 21 acquires information of an inspection result of a subject to be examined from the inspection device C. Here, the inspection result information may be information output by an optical coherence tomography (OCT) device, such as image information or three-dimensional structure information of the retinas of the left and right eyes of the subject.
[0021] The condition setting unit 22 sets estimation conditions for the visual field estimation unit 23, and conditions necessary for comparison processing with normal eyes in the deviation information generation unit 24, such as the age of the subject. Specifically, the condition setting unit 22, in accordance with a user's instruction, outputs a date and time setting representing which point in time the visual field is to be estimated for to the visual field estimation unit 23, and outputs information of the age of the subject to the deviation information generation unit 24. In the following description, the date and time output to the visual field estimation unit 23 is referred to as a "set date and time".
[0022] The visual field estimation unit 23 uses a machine learning model that has learned the relationship between retinal image information or three-dimensional structural information, visual field information representing the visual field, and information representing changes in the visual field to estimate the visual field information for the 24-degree visual field at the above-mentioned set date and time for the subject's left and right eyes, and the visual field information for the 10-degree visual field at the above-mentioned set date and time for the subject's left and right eyes, based on the subject's examination results (retinal image information or three-dimensional structural information of the subject's left and right eyes) acquired by the examination result acquisition unit 21. Such a machine learning model may be, for example, a machine learning model that has learned to acquire at least one of retinal image information or three-dimensional structural information at multiple time points for each of multiple eyes examined, and visual field relationship information related to the visual field of the eye examined at the corresponding time point, inputs the retinal image information or three-dimensional structural information for each eye examined as input information, and uses visual field information representing the visual field and visual field change information representing changes in the visual field obtained based on the visual field relationship information at multiple time points for the corresponding eye as training information, and outputs visual field information and visual field change information estimated based on the input information. This machine learning model can be implemented, for example, using the model described in Makoto Koyama, et al., “OCT-based Visual Field Estimation Using Segmentation-free 3D CNN Shows Lower Variability than Subjective Standard Automated Perimetry, medRxiv, doi: https: / / doi.org / 10.1101 / 2024.08.17.24312150”.
[0023] Here, the 24-degree field of view information (corresponding to the first estimated field of view information) is an estimate of the sensitivity threshold (which can be expressed as the minimum brightness value at which the subject's eye can recognize a bright spot when fixating on the fixation point) at the positions corresponding to each of the 54 measurement points (center 24-2) arranged at 6-degree intervals within 24 degrees from the fixation point, as used in Humphrey perimeters, etc. (referred to as estimated points in the following explanation). The 10-degree field of view information (corresponding to the second estimated field of view information) is an estimate of the sensitivity threshold at the positions (estimated points) corresponding to each of the 68 measurement points (center 10-2) arranged at 2-degree intervals within 10 degrees from the fixation point.
[0024] The deviation information generation unit 24 compares the visual field information for the 24-degree visual field at the above-mentioned set date and time for the left and right eyes of the subject, estimated by the visual field estimation unit 23, with the visual field information for the 10-degree visual field at the above-mentioned set date and time for the left and right eyes of the subject, with the corresponding visual field information for a normal eye, and generates information representing the deviation (so-called total deviation and pattern deviation).
[0025] Specifically, the deviation information generation unit 24 acquires the visual field information of the left and right eyes of a normal person that corresponds to the subject's attribute information (for example, the subject's age in this case) output by the condition setting unit 22.
[0026] The deviation information generation unit 24 calculates the difference in sensitivity thresholds between each estimated point and the corresponding measurement point, comparing the visual field information of the subject's left and right eyes estimated by the visual field estimation unit 23 with the acquired visual field information of a normal person's left and right eyes. The deviation information generation unit 24 then generates information representing the difference in sensitivity thresholds between a normal person and the subject for each measurement point, calculates the total deviation and pattern deviation based on the generated information for each measurement point, and also calculates statistical information such as p-values. Note that the calculation methods for the total deviation, pattern deviation, and their statistical information can be the same as widely known methods, so a detailed explanation is omitted.
[0027] One of the distinctive features of this embodiment is that the field of view estimation unit 23 obtains field of view information for each estimated point of the 24-degree field of view at the set date and time, and field of view information for each estimated point of the 10-degree field of view at the same set date and time. Accordingly, the deviation information generation unit 24 generates the total deviation and pattern deviation of the 24-degree field of view at the set date and time, as well as their statistical information, and the total deviation and pattern deviation of the 10-degree field of view at the set date and time, as well as their statistical information.
[0028] The combining unit 25 combines the visual field information estimated for the subject's left eye (information representing the estimated visual field of the subject's left eye at the set date and time) based on the visual field information for the 24-degree visual field of the subject's left eye at the set date and time and the visual field information for the 10-degree visual field of the subject's left eye at the set date and time, obtained by the visual field estimation unit 23. The combining unit 25 also combines the visual field information estimated for the subject's right eye (information representing the estimated visual field of the subject's right eye at the set date and time) based on the visual field information for the 24-degree visual field of the subject's right eye at the set date and time and the visual field information for the 10-degree visual field of the subject's right eye at the set date and time. Hereafter, the visual field information obtained by combining here will be referred to as the combined visual field information.
[0029] Furthermore, the synthesis unit 25 uses the total deviation and pattern deviation information corresponding to the 24-degree field of view and the total deviation and pattern deviation information corresponding to the 10-degree field of view, generated by the deviation information generation unit 24, to synthesize the combined total deviation and combined pattern deviation for each of the left and right eyes. The processing of the combined field of view information, combined total deviation, and combined pattern deviation by the synthesis unit 25 will be described in detail later.
[0030] The display control unit 26 arranges the information representing the estimated field of view of the subject's left eye and the information representing the estimated field of view of the right eye at the set date and time, which have been synthesized by the synthesis unit 25, and outputs it to the display unit 14 for display.
[0031] [Synthesis process by the synthesis unit] Here, we will explain an example of the synthesis process performed by the synthesis unit 25. The synthesis process performed by the synthesis unit 25 is applied to the field of view information and the total deviation and pattern deviation. This synthesis process is performed as shown in the following example. Below, we will explain two examples of the synthesis process. However, the method of synthesis is not limited to these two examples. (Example of synthesis process 1) (1) The composite unit 25 uses the same values for the sensitivity threshold, total deviation, and pattern deviation at measurement points within the 24-degree field of view that are located beyond 10 degrees from the center (fixation point) F (within Q in Figure 3 and outside P). (2) The composite unit 25 uses the same values for the sensitivity threshold, total deviation, and pattern deviation of the measurement points in the 10-degree field of view within 10 degrees from the center (within P in Figure 3).
[0032] Through this process, the synthesis unit 25 determines the sensitivity threshold value, total deviation, and pattern deviation values for measurement points within the 24-degree field of view that are in a range exceeding 10 degrees from the center (within Q but outside P), and the sensitivity threshold value, total deviation, and pattern deviation values for measurement points within 10 degrees from the center (within P) in a 10-degree field of view.
[0033] (Example of synthesis process 2) Furthermore, the synthesis unit 25 may perform the synthesis process as follows: (1) The composite unit 25 uses the same values for the sensitivity threshold, total deviation, and pattern deviation of measurement points that are within the 24-degree field of view and in a range exceeding 10 degrees from the center (within Q in Figure 3 and outside P). (2') The composite unit 25 sequentially selects each of the measurement points within a 10-degree field of view within a 10-degree radius from the center (within P in Figure 3) as a point of interest.
[0034] The sensitivity threshold T(x,y) of the target estimation point is determined by a statistical calculation based on the sensitivity threshold t10(x,y) of the corresponding estimation point in the 10-degree field of view information and the sensitivity threshold t24(xi,yi) (where i=1,2,...n) of the n (n is an integer greater than or equal to 1) estimation points in the 24-degree field of view information that are closest to the target estimation point. This calculation can be performed as a weighted average using weights determined by the distance from the target estimation point, for example.
[0035] For example, in Figure 3, if the estimated point P0 is the point of interest, then for each of the estimated points of the 24-degree field of view information, the nearest (n=1) estimated point to the position of the point of interest P0, or the n nearest estimated points (n estimated points selected in order of proximity to the point of interest P0), the sensitivity threshold t24(xi,yi) (i=1,2,...n) at the said estimated point and the distance (Euclidean distance is acceptable) ri between the position (x,y) of the point of interest P0 are used. T(x,y)=α·t10(x,y)+β·Σt24(xi,yi) / (ri·n) However, both α and β are positive real values, and α + β = 1. Also, Σ is defined as i = 1, 2, ..., n And so on.
[0036] Through these processes, the synthesis unit 25 may determine sensitivity thresholds for estimated points within a 24-degree field of view that are in a range exceeding 10 degrees from the center (within Q but outside P), as illustrated in Figure 3, and for estimated points within a 10-degree field of view that are within 10 degrees from the center (within P).
[0037] Furthermore, in the synthesis process related to total deviation and pattern deviation, the value D(x,y) of the deviation (total deviation or pattern deviation) of the measurement point of interest is calculated using statistical calculations based on the deviation values d10(x,y) of the corresponding measurement point in the 10-degree field of view and the deviation values d24(xi,yi) (where i=1,2,...n) of the n measurement points (n being an integer greater than or equal to 1) closest to the measurement point of interest among the measurement points in the 24-degree field of view. This calculation can be performed, for example, as a weighted average using weights determined by the distance from the measurement point of interest.
[0038] For example, if the measurement point corresponding to the estimated point P0 in Figure 3 is designated as the measurement point of interest, the synthesis unit 25 calculates the deviation values for each of the measurement points in the 24-degree field of view, specifically the measurement point closest to the measurement point of interest (n=1), or the n neighboring measurement points (n measurement points selected in order of proximity to the measurement point of interest), using the deviation value d24(xi,yi) (i=1,2,...n) at the measurement point and the distance (Euclidean distance may be used) ri from the position (x,y) of the measurement point of interest. D(x,y)=α·d10(x,y)+β·Σd24(xi,yi) / (ri·n) However, both α and β are positive real values, and α + β = 1. Also, Σ is defined as i = 1, 2, ..., n And so on.
[0039] [Display processing by the display control unit] The display control unit 26 displays the composite visual field information of the subject's left eye (left eye visual field image: L) and the composite visual field information of the right eye (right eye visual field image: R), which are synthesized by the synthesis unit 25 at a predetermined set date and time, arranged in a single line (side by side) as illustrated in Figure 4(a). In the example in Figure 4, the composite visual field information of the left and right eyes is displayed as an image in which the sensitivity thresholds at the test points (display points) included in each eye are represented by grayscale pixels.
[0040] The display control unit 26 also displays the composite visual field information of the subject's left and right eyes at the set date and time, which has been synthesized by the synthesis unit 25, and may also display at least one of the composite total deviation and the composite pattern deviation in an array. These composite total deviation and composite pattern deviation may also be displayed as images in which the values at the test points (display points) included in each are represented by grayscale pixels.
[0041] For example, as illustrated in Figure 4(b), the display control unit 26 displays the composite pattern deviation of the left eye (left eye deviation image: LP), the composite total deviation of the left eye (left eye deviation image: LT), the composite field of view information of the left eye (left eye field of view image: L), the composite field of view information of the right eye (right eye field of view image: R), the composite total deviation of the right eye (right eye deviation image: RT), and the composite pattern deviation of the right eye (right eye deviation image: RP) in a single row (arranged from left to right) in this order.
[0042] Alternatively, the display control unit 26 may arrange and display the following information in a single line (from left to right): left eye composite field of view information (left eye field of view image: L), left eye composite pattern deviation (left eye deviation image: LP), left eye composite total deviation (left eye deviation image: LT), right eye composite total deviation (right eye deviation image: RT), right eye composite pattern deviation (right eye deviation image: RP), and right eye composite field of view information (right eye field of view image: R) in this order. Furthermore, the composite total deviation and composite pattern deviation may be in reverse order.
[0043] Furthermore, the display control unit 26 may change which information is displayed and in what order, according to the user's instructions.
[0044] [Another example of deviation synthesis] In the synthesis unit 25, as a method for generating information on the composite total deviation and composite pattern deviation, in the example described above, the composite total deviation and composite pattern deviation for the 24-degree field of view and the composite total deviation and composite pattern deviation for the 10-degree field of view are generated. Then, for estimated points outside the 10-degree field of view within the 24-degree field of view, the values of the estimated points for the 24-degree field of view are used as is, and for estimated points within the 10-degree field of view, the values are obtained by statistical calculations based on the estimated points for the 24-degree field of view and the estimated points for the 10-degree field of view. However, this embodiment is not limited to this example.
[0045] The synthesis unit 25 generates synthesized visual field information and also performs synthesis processing on the visual field information of a normal person's 24-degree visual field and the visual field information of a 10-degree visual field to generate synthesized visual field information of a 24-degree visual field (referred to as synthesized normal visual field information).
[0046] The synthesis of normal field of view information can also be performed in the same way as the synthesis method examples already described. In this example, the synthesis unit 25 calculates the synthesized total deviation and the synthesized pattern deviation based on the difference between the synthesized field of view information and the synthesized normal field of view information.
[0047] [Operation] The information processing device 1 of this embodiment basically has the above configuration and operates as shown in the following example. In the following example, it is assumed that the storage unit 12 of the information processing device 1 already stores normal visual field information for each attribute information (age, gender, etc.). In this explanation, it is assumed that this normal visual field information is measured using a Humphrey perimeter or the like.
[0048] The user (physician) of this information processing device 1 uses optical coherence tomography (OCT) or similar equipment to examine the left and right eyes of the patient and obtain image information or three-dimensional structural information (examination results) of the retina of the left and right eyes of the subject.
[0049] The user initiates the process shown in Figure 5 on the information processing device 1 and reads the above test results (S11). The user also inputs a setting date and time, which indicates the point in time at which the visual field information of the subject's eye should be estimated, as condition information into the information processing device 1 (S12).
[0050] The information processing device 1 estimates the visual field information for the 24-degree visual field at the above-mentioned time and date for the subject's left and right eyes, and the visual field information for the 10-degree visual field at the above-mentioned time and date for the subject's left and right eyes, based on the test results read in step S11 and the information for the set date and time entered in step S12 (S13). As already mentioned, this estimation process may be performed using a machine learning model that has acquired the relationship between retinal image information or three-dimensional structural information, visual field information representing the visual field, and information representing changes in the visual field.
[0051] The information processing device 1 also reads normal visual field information (information on 24-degree visual fields and 10-degree visual fields) corresponding to the subject's attribute information from the storage unit 12 (S14). The information processing device 1 then compares the visual field information for the 24-degree visual field and the visual field information for the 10-degree visual field for the left and right eyes of the subject at the set date and time, estimated in step S13, with the normal visual field information read in step S14, and generates information representing the deviation (total deviation and pattern deviation) (S15).
[0052] The information processing device 1 synthesizes composite visual field information for the left and right eyes of the subject based on the visual field information generated in step S15 (S16). Furthermore, the information processing device 1 also generates composite total deviations and composite pattern deviations for the left and right eyes by combining the total deviation and pattern deviation information corresponding to the 24-degree visual field and the total deviation and pattern deviation information corresponding to the 10-degree visual field, which were generated in step S15 (S17).
[0053] The information processing device 1 generates images representing the composite visual field information, composite total deviation, and composite pattern deviation for the left and right eyes of the subject, which were generated in steps S16 and S17 (S18). The device then displays the composite pattern deviation of the left eye (left eye deviation image: LP), the composite total deviation of the left eye (left eye deviation image: LT), the composite visual field information of the left eye (left eye visual field image: L), the composite visual field information of the right eye (right eye visual field image: R), the composite total deviation of the right eye (right eye deviation image: RT), and the composite pattern deviation of the right eye (right eye deviation image: RP) in this order, arranged in a single row (from left to right) (arrangement display: S19). The result of this display is the same as that exemplified in Figure 4(b) which has already been described.
[0054] As described above, according to this embodiment, it is possible to arrange and display the subject's visual field information at a specified date and time based on the results of the visual field test. Furthermore, in this embodiment, since the estimated visual field based on the test results from OCT is used, the variation in the sensitivity threshold is smaller compared to the visual field information measured by a Humphrey perimeter or the like (see the paper by Makoto Koyama, et al. mentioned above). As a result, there is no variation in the sensitivity threshold at adjacent display points, and even if the estimated sensitivity threshold or deviation values are quantized to 256 grayscale values to generate a grayscale image, it does not appear unnatural.
[0055] [Example of displaying other information] Furthermore, the information processing device 1 of this embodiment obtains field of view information and deviation information as described above, as well as statistical quantities obtained from this information and other information estimated from machine learning models, for example, • p-value of the total deviation • p-value of pattern deviation, ·MD value, or • Time-series information (values based on past test results or estimated results, such as MD slope), These values may be calculated and displayed along with field of view information and deviation information.
[0056] Furthermore, as time-series information, the information processing device 1 may calculate the rate of change in the sensitivity threshold for each estimated point (measurement point) (rate of disease progression) and the probability of progression, based on the current estimation result for each estimated point (measurement point) of the visual field information and past estimation results (or test results).
[0057] The information processing device 1 may also display the composite field of view information numerically. Here, the numerical display shows the estimated sensitivity threshold corresponding to the position of each estimated point included in the composite field of view information.
[0058] Furthermore, if the information processing device 1 has actual (not estimated) field of view information measured by a Humphrey perimeter or the like, it may also display that information.
[0059] Furthermore, if actual field of view information is available, the MD value, MD slope, and other information equivalent to the MD slope, such as VFI (Visual Field Index) and TD (Total Deviation), may be calculated and displayed based on this actual field of view information. Since these calculations are widely known, their explanation will be omitted here.
[0060] Thus, the information processing device 1 Regarding each of the subject's left and right eyes, • Image information of composite field of view (grayscale image) • Image information of the composite total deviation (grayscale image) • Image information of composite pattern deviation (grayscale image) • Numerical information of composite field of view information, • Numerical information on the combined total deviation, Numerical information on composite pattern deviation, • p-value of the total deviation • p-value of pattern deviation, MD value, • Time-series information, • Actual visual field information measured with a visual field analyzer, • MD values and time-series information based on actual field of view data, and other similar information. These may be arranged and displayed arbitrarily according to the user's instructions and settings. The user instructs the information processing device 1 to display this information in an arrangement suitable for the examination of the subject and that is easy for the user to see.
[0061] As an example, the information processing device 1 may display an image of the visual field information and deviation information illustrated in Figure 4(b), as well as a graph showing the MD slope, the time-series change in intraocular pressure, the history of eye drop use, and a two-dimensional image of the OCT as the examination result. Examples of time-series change information in this invention include the MD slope, the rate of disease progression at each measurement point, the probability of progression, the time-series change in intraocular pressure, and the history of eye drop use. [Explanation of symbols]
[0062] 1 Information processing device, 11 Control unit, 12 Storage unit, 13 Operation unit, 14 Display unit, 15 Interface unit, 21 Inspection result acquisition unit, 22 Condition setting unit, 23 Field of view estimation unit, 24 Deviation information generation unit, 25 Synthesis unit, 26 Display control unit.
Claims
1. Acquisition means for acquiring first estimated visual field information within a 30-degree or 24-degree central range between the left and right eyes of a subject at a specified date and time, and second estimated visual field information within a 10-degree central range between the left and right eyes at the same specified date and time, based on the examination results of the subject. A synthesis means for synthesizing the estimated field of view of the subject's left eye and right eye at the specified date and time based on the first estimated field of view information and the second estimated field of view information, A display means that generates a pair of field of view images representing the estimated field of view of the left eye and right eye of the subject at the specified date and time, and displays the field of view images of the left eye and right eye arranged in a sequence. An information processing device equipped with the following features.
2. An information processing apparatus according to claim 1, The synthesis means synthesizes information representing the sensitivity threshold for each display point set within a 30-degree or 24-degree center between the left and right eyes of the subject at a specified date and time as an estimated field of view. The display means is an information processing device that generates a field of view image by arranging pixels representing a sensitivity threshold for each display point.
3. The information processing apparatus according to claim 2, The synthesis means synthesizes the estimated field of view by determining information representing a sensitivity threshold for each display point set within 30 degrees or 24 degrees centered between the left and right eyes of the subject at a specified date and time, but outside the center of 10 degrees, based on the first estimated field of view information, and also synthesizes the estimated field of view by determining information representing a sensitivity threshold for each display point set within 10 degrees centered between the left and right eyes of the subject at a specified date and time, based on the first estimated field of view information and the second estimated field of view image.
4. An information processing apparatus according to claim 3, The synthesis means is an information processing device that calculates the sensitivity threshold for each display point set within a 10-degree center between the left and right eyes of the subject at a specified date and time by statistical calculation of at least the information within the center 10 degrees of the first estimated field of view information and the second estimated field of view image, and synthesizes the estimated field of view.
5. An information processing apparatus according to claim 1, The system further comprises an analysis means for generating time-series change information relating to the estimated field of vision of the subject, The display means is an information processing device that displays the time-series change information generated by the analysis means together with the field of view image.
6. An information processing apparatus according to any one of claims 1 to 5, The acquisition means further acquires first normal visual field information within a 30-degree or 24-degree center between the left and right eyes of a normal person, and second normal visual field information within a 10-degree center between the left and right eyes at the specified date and time. An information processing device which, based on the estimated field of view of the subject's left and right eyes at the specified date and time, the first normal field of view information and the second normal field of view information, generates deviation images representing the difference from the normal state for each of the subject's left and right eyes, and displays them arranged together with the field of view images of the left and right eyes.
7. An information processing apparatus according to claim 6, The aforementioned display means is An information processing device that arranges, in a single row, a left-side image, which consists of the left eye deviation image and the left eye field of view image, adjacent to each other, and a right-side image, which consists of the right eye deviation image and the right eye field of view image, adjacent to each other, for the aforementioned subject at the specified date and time.
8. An information processing apparatus according to claim 6, The display means is an information processing device that arranges a left-side image, which consists of a left-eye deviation image and a left-eye field of view image, adjacent to each other, and a right-side image, which consists of a right-eye deviation image and a right-eye field of view image, adjacent to each other, for the specified date and time of the subject, in a row, and displays them in the order of left-eye deviation image, left-eye field of view image, right-eye field of view image, right-eye deviation image, or left-eye field of view image, left-eye deviation image, right-eye deviation image, right-eye field of view image in a row.
9. An information processing apparatus according to claim 1, The acquisition means acquires at least one of retinal image information or three-dimensional structural information for each of a plurality of eyes under examination at multiple time points, and acquires visual field relationship information related to the visual field of the eye under examination at the corresponding time point, inputs the retinal image information or three-dimensional structural information for each of the eyes under examination as input information, and uses a machine learning model that has been trained to output estimated visual field information and visual field change information based on the input information, using visual field information representing the visual field obtained based on the visual field relationship information for the corresponding eye at multiple time points, and visual field change information representing changes in the visual field as training information, to obtain retinal image information or three-dimensional structural information as an examination result of the subject under examination, and acquires first estimated visual field information within a 30-degree or 24-degree center between the left and right eyes of the subject at a specified date and time, and second estimated visual field information within a 10-degree center between the left and right eyes at the specified date and time, based on the three-dimensional structural information.
10. Computers, Acquisition means for acquiring first estimated visual field information within a 30-degree or 24-degree central range between the left and right eyes of a subject at a specified date and time, and second estimated visual field information within a 10-degree central range between the left and right eyes at the same specified date and time, based on the examination results of the subject. A synthesis means for synthesizing the estimated field of view of the subject's left eye and right eye at the specified date and time based on the first estimated field of view information and the second estimated field of view information, and A display means that generates a pair of field of view images representing the estimated field of view of the left eye and right eye of the subject at the specified date and time, and displays the field of view images of the left eye and right eye arranged in a sequence. A program that makes it function as such.