JP2014083268A - Ophthalmological analysis apparatus and ophthalmological analysis program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To make it possible to observe long-term progress suitably.SOLUTION: An ophthalmological analysis apparatus obtains analysis results of tomograms of a subject eye captured on different examination days by an ophthalmological optical coherence tomography, and outputs statistical information prepared from time series data of the analysis results. The ophthalmological analysis apparatus comprises: instruction acceptance means for accepting a selection instruction from an examiner to select a plurality of two-dimensional images to be output as a plurality of two-dimensional images relating to each examination day in a specified period in the statistical information; and control means for outputting the plurality of two-dimensional images selected by the instruction acceptance means side by side, together with the statistical information.

Description

  The present invention relates to an ophthalmologic analyzer for analyzing an eye to be examined, and a program.

  Ophthalmic optical coherence tomography (OCT: optical coherence tomography) may acquire images of the same part of the subject's eye on different examination dates and perform follow-up observations. For example, in the case of OCT for the fundus, a tomographic image of the fundus is acquired a plurality of times, and the progress of the lesion is observed from the change in the tomographic image (see Patent Document 1).

JP 2010-246904 A

  In the case of a disease in the eye to be examined, the span of follow-up may be very long (eg, fundus macular disease, glaucoma, etc.).

  There is a demand for an analysis device and analysis software that can be easily used by the examiner so that the analysis result in the long-term follow-up can be easily confirmed. For example, in the above-mentioned patent document, several tomographic images are displayed in parallel, which is insufficient for outputting the result of long-term observation.

  This invention makes it a technical subject to provide the ophthalmic analysis apparatus which can perform a long-term follow-up observation suitably.

  In order to solve the above problems, the present invention is characterized by having the following configuration.

(1) An ophthalmologic analyzer for obtaining an analysis result of a tomographic image of an eye to be examined acquired on different examination days by an optical coherence tomography for ophthalmology and outputting statistical information formed from time-series data of the analysis result Because
An instruction receiving means for receiving selection instructions from an examiner for selecting a plurality of two-dimensional images to be output as a plurality of two-dimensional images for each examination date in a specific period on the statistical information;
Control means for arranging and outputting the plurality of two-dimensional images selected by the instruction receiving means together with the statistical information;
An ophthalmologic analyzer comprising:
(2)
The ophthalmic analysis apparatus according to (1), wherein the control unit outputs the specific period in which the two-dimensional image is output so as to be distinguishable on the time-series graph.
(3) The instruction receiving unit receives a change instruction from an examiner for changing the two-dimensional image displayed on the display unit,
The ophthalmic analysis apparatus according to any one of (1) to (2), wherein the control unit changes the two-dimensional image displayed on the display unit in response to a change instruction from the instruction receiving unit.
(4)
The instruction receiving means receives a selection instruction from an examiner for selecting at least one of the two-dimensional images displayed on the display means as a fixed display image,
Whereas the control means fixes the display of the two-dimensional image selected as the fixed display image,
The ophthalmic analysis apparatus according to (3), wherein another two-dimensional image different from the fixed image is changed and displayed in accordance with a change instruction from the instruction receiving unit.
(5) The ophthalmic analysis apparatus according to any one of (1) to (4), wherein the control unit outputs at least one of a captured image and an analysis image as the two-dimensional image.
(6)
The control means outputs at least one of a tomographic image acquired by the ophthalmic optical coherence tomography or a front image acquired on the same day as the tomographic image as the captured image (5). .
(7) The ophthalmic analysis apparatus according to any one of (5) to (6), wherein the control unit outputs at least one of an analysis map, an analysis chart, and an analysis result table as the analysis image.
(8)
Executed in an ophthalmic analyzer for obtaining analysis results of tomographic images of the eye to be examined acquired on different days by an optical coherence tomograph for ophthalmology and outputting statistical information formed from time-series data of the analysis results An ophthalmic analysis program,
By being executed by the processor of the ophthalmologic analyzer,
An instruction receiving step for receiving selection instructions from an examiner for selecting a plurality of two-dimensional images to be output as a plurality of two-dimensional images for each examination date in a specific period on the statistical information;
An output step for arranging and outputting the plurality of two-dimensional images selected in the instruction receiving step together with the statistical information to an output destination;
Is executed by the ophthalmologic analysis apparatus.

  According to the present invention, long-term follow-up can be suitably performed.

It is a block diagram which shows the structure of the ophthalmic analysis apparatus which concerns on an Example. It is a flowchart which shows an example of provision of event information. It is a figure which shows an example in the case of outputting the time series graph regarding the analysis area | region selected by the examiner. It is a figure which shows the display screen which shows an example of provision of event information. It is a figure which shows an example of customization of the data displayed on the display screen of FIG. It is a figure which shows an example of the analysis result display screen which concerns on a nipple analysis. It is a figure which shows an example of customization in the analysis result display screen which concerns on a nipple analysis. It is a figure of the display screen which shows an example in the case of outputting the two-dimensional image regarding each inspection date in a specific period. It is a figure which shows an example of the display screen in case a part of two-dimensional image is fixed. It is a figure which shows an example of the display screen in case another 2D image is changed with respect to a fixed display. It is a figure which shows an example in the case of performing retinal thickness comparison from attention inspection data. It is a figure which shows an example of the display screen which sets the follow-up observation position on a tomographic image. It is a figure which shows an example of the display screen which sets a follow-up observation position using a line display on a tomographic image. It is a figure which shows an example of the display screen which sets a follow-up observation position using a frame display on a tomographic image.

  Embodiments of the present invention will be described with reference to the drawings. 1 to 13 are diagrams according to examples of the present embodiment. In addition, the items classified by <> below can be used independently or in association with each other.

<Overview>
The ophthalmic analysis apparatus obtains the analysis result of the tomographic image of the eye to be examined acquired on different days by the optical coherence tomography (for example, the optical coherence tomography 10), and is formed from the time series data of the obtained analysis result. Output statistical information.

  As an analysis result, for example, either an analysis result of a fundus tomographic image or an analysis result of an anterior ocular segment tomographic image is applied. The analysis result may be, for example, an analysis result of a tomographic image of the entire eye from the cornea to the fundus.

  The analysis results include, for example, the thickness of the eye to be examined (for example, the thickness of the cornea, the thickness of the lens, the thickness of the retinal layer, the choroid), and the curvature of the eye to be examined (for example, the corneal curvature, the front / rear curvature of the lens, the retinal layer) Or the like). The analysis results include, for example, analysis values (for example, numerical data of thickness / curvature, analysis parameter values such as C (cup) / D (disc) ratio of the fundus nipple), and measured values of the anterior segment angle ( For example, ACD, TISA, ANGLE, etc.) and lesion measurement information (for example, at least one of size, area, and volume) are output. Further, the analysis result may be an evaluation value obtained by dividing the analysis value in stages (for example, a six-step evaluation of A to F). For example, regarding the size of the lesion, the lesion area may be detected by image processing, and any one of the size, area, and volume of the lesion may be measured and statisticalized.

  The instruction receiving unit (for example, the CPU 20) has a function of receiving a selection instruction from the examiner. The instruction receiving unit can receive an operation signal from a user interface (operation input unit) such as a touch panel, a mouse, and a keyboard.

  The input receiving unit (for example, the CPU 20) has a function of receiving an input from one configuration of the examiner and the apparatus. For example, the input receiving unit can receive an operation signal from the input unit 4 (for example, a user interface such as a touch panel, a mouse, or a keyboard). For example, the input receiving unit can receive data from a storage unit that stores various types of information.

  A control part (for example, CPU20) outputs a time series graph. Examples of the output destination include a display unit (for example, display unit 1) / an output unit (output device) such as a printer, and a storage unit (storage device) such as a hard disk / USB memory. In the case of the display unit, a time series graph is displayed on the monitor, and in the case of a printer, the time series graph is printed. In the case of the storage unit, the time-series graph stored in the storage unit can be output to the output unit.

  For example, when the control unit stores the image data including the time series graph in the storage unit, it is advantageous because the control unit only has to output the image data from the storage unit to the output device.

  The output device is, for example, at least one of a configuration mounted on the optical coherence tomography, a configuration externally attached to the optical coherence tomography, and a configuration arranged at a position away from the optical coherence tomography. Can be used.

  In addition, as a memory | storage part, the memory | storage part provided in the OCT device apparatus main body, the memory | storage part provided in the external server, the memory | storage part provided in the personal computer etc. may be sufficient, for example. Of course, the storage unit storing the fundus analysis program, the storage unit storing each analysis result, and the storage unit storing the statistical information may have different configurations. Of course, the same structure may be sufficient.

  The control unit (for example, the CPU 20) acquires time series data of the analysis results from a storage unit (for example, the storage unit 30) that stores the analysis results of the tomographic images of the eye to be examined acquired on different days, and the time series data A time series graph consisting of may be output.

  The data output by the control unit is not limited to the time series graph, and may be statistical information (for example, numerical values, charts) formed from the time series data of the analysis result. The statistical information may be a statistical result in which the distribution of analysis results is collected in time series and the characteristics of time series data can be grasped. Further, as the statistical information, it is preferable that the statistical result is expressed by a numerical value or a chart. However, in the following description, a time series graph will be mainly described as one piece of statistical information, but the present invention can also be applied to other statistical information.

<Trend graph (see FIGS. 4 to 8)>
For example, the control unit may obtain a regression line by performing regression analysis on time series data, and may output a trend graph based on the regression line as a time series graph. For example, the control unit may output the slope or p value of the acquired regression line. The control unit may obtain a regression curve by regression analysis and output a trend graph based on the regression curve.

<Addition of event information (see flowchart in FIG. 2, graphs in FIGS. 4, 6, and 8)>
For example, the input receiving unit may receive an input of an event occurrence time and an event name related to the eye disease of the subject. For example, in the time-series graph, the control unit may add information indicating the occurrence of the event to a position corresponding to the generation time received by the input reception unit. For example, the control unit may output image data including a time-series graph to which information indicating the occurrence of an event is added and the name of the event received by the input receiving unit to the output destination.

  As a result, the event information related to the eye disease of the subject is given on the time-series graph, so that the examiner can associate the transition of the analysis result with the event.

  For example, the input receiving unit may obtain the event related information as described above from the manual input of the examiner. For example, the input receiving unit may obtain the event-related information as described above from electronic medical record data.

  For example, the event occurrence time may be information indicating the time when the event occurred. Preferably, the date when the event occurred. If the treatment of an eye disease is long-lasting, years alone may be sufficient. If the treatment of the eye disease is short-term, the date may be sufficient. In addition, the event occurrence time is not limited to these, and includes the elapsed time from the examination date (for example, at the first visit and the revisit) to the event, and the age of the subject at the time of the event (for example, ~ year-old). (Months) is also included.

  The event name may be, for example, a name indicating an event such as medication to the subject, surgery to the subject, or confirmation of the symptom of the subject. Specifically, the specific name (eg, product name) of the administered drug, the specific name of the operation (eg, laser photocoagulation surgery), the specific name of the confirmed symptom (eg, age-related macular degeneration) Such as confirmation). The names of events related to medication include medication disclosure, medication termination, medication change, and the like.

  For example, the control unit may add an event name on the time series graph. For example, the control unit may add information indicating the occurrence of an event on the time-series graph, and output the event name outside the graph.

<Create trend graph based on event occurrence>
For example, the control unit may acquire the first regression line by performing regression analysis on time series data before the occurrence time with the occurrence time received by the input reception unit as a reference. For example, the control unit may obtain the second regression line by performing regression analysis on time-series data after the event occurrence time. For example, the control unit may output a trend graph including at least one of a first trend graph based on the first regression line and a second trend graph based on the second regression line as a time series graph. The control unit may obtain a regression curve by regression analysis and output a trend graph based on the regression curve.

  In addition, when creating each trend graph before and after the occurrence time, the control unit may create a trend graph including the analysis result obtained at the event occurrence time, or the analysis result obtained at the event occurrence time. A trend graph may be created without including.

<Slope comparison based on event occurrence>
Note that the control unit may display the first slope based on the first regression analysis described above and the second slope based on the second regression analysis so that they can be compared (see FIG. 8).

  In addition, when outputting so that comparison is possible, a control part may display the 1st inclination and the 2nd inclination on the same screen, for example, and displays the 1st inclination and the 2nd inclination in parallel. May be.

<Give elapsed time from event occurrence time>
For example, the control unit may add and output the generation time or the elapsed time from the examination date in a region where the time axis in the time series graph is described. For example, by giving the elapsed time from the event occurrence, the examiner can easily confirm the relationship between the change in the analysis result after the event occurrence and the time passage. Moreover, by giving the elapsed time from an arbitrary inspection date (for example, the first inspection day), the examiner can easily confirm the relationship between the change in the analysis result after the arbitrary inspection date and the passage of time.

<Comparison with normal eye graph>
For example, the control unit may output a time series graph (first graph) of the eye to be examined and a normal eye time series graph (second graph) formed from the time series data of the normal eye so as to be comparable. . Thereby, the temporal change in the analysis result of the eye to be examined can be easily compared with the temporal change in the normal eye.

  In addition, when outputting so that comparison is possible, a control part may display a 1st graph and a 2nd graph on the same graph, for example, and may display a 1st graph and a 2nd graph in parallel. .

<Comparison between trend graph inclination and normal eye inclination>
The control unit, for example, the slope of the first regression line obtained by regression analysis of the time series data of the subject eye and the second regression line obtained by regression analysis of the time series data of normal eye data. The inclination may be compared and the comparison result may be output. Thereby, the temporal change in the analysis result of the eye to be examined can be easily compared with the temporal change in the normal eye.

  In addition, when outputting so that comparison is possible, a control part outputs the inclination of a 1st regression line, and the inclination of a 2nd regression line simultaneously, for example. For example, the control unit may output whether the slope of the first regression line is larger or smaller than the slope of the second regression line.

<Output of position information indicating position on fundus of data output on graph (see FIGS. 4, 6, and 8)>
For example, the control unit may output position information indicating the position on the eye to be examined of the analysis result output to the time series graph together with the time series graph. Thereby, the examiner can easily confirm the position on the fundus of the analysis result. The position information may be, for example, information indicating an analysis site in the eye to be examined (for example, somewhere in the cornea, lens, or fundus), or position information on a predetermined site of the eye to be examined (for example, on the fundus). 2D position information).

<Graph output position discrimination display>
For example, the control unit may use a diagram or a table when outputting position information indicating a position on the eye to be examined. Further, for example, the control unit may output the portion output on the time series graph in the figure or the table and the portion not output on the time series graph in a distinguishable manner by outputting in different display modes. Good.

  In the case of outputting in a discriminable manner, the control unit colors, for example, the section output on the graph in a chart divided into sections according to the fundus position. In addition to coloring, the section may be hatched or a frame may be formed. Further, the section output on the time series graph may be highlighted.

  In addition, when the graph regarding a some analysis area | region is output on a graph, you may output so that discrimination | determination is possible by outputting each analysis area | region in a different aspect in a figure or a table | surface.

<Custom graph (see FIGS. 5 and 7)>
For example, the control unit may output another time series graph including time series data of measurement results obtained by another ophthalmologic apparatus different from the fundus imaging optical coherence tomography, together with the time series graph. Measurement results obtained by another ophthalmic device include visual acuity, MD value, VFI (Visual Field Index) value, TD (Total deviation) value, PSD value (Pattern Standard deviation), visual sensitivity (ERG, MP, etc.), Blood flow, lesion size (eg, edema, leakage), volume, etc. are considered. Further, the number of custom graphs is not limited to one.

<Arbitrary follow-up observation position setting (see flowchart in FIG. 3)>
The instruction receiving unit may receive a selection instruction from the examiner for selecting at least one of the analysis areas at a plurality of positions of the eye to be examined as a graph creation area of the time-series graph. The plurality of positions of the eye to be examined may be, for example, a plurality of positions (for example, somewhere in the cornea, the crystalline lens, and the fundus) of the whole eye to be examined, or a plurality of positions (for example, the fundus oculi on a predetermined part of the eye to be examined). (Two-dimensional position information above).

  The control unit acquires the analysis results in the analysis region selected by the selection instruction received by the instruction receiving unit with respect to the tomographic images acquired on different days, and outputs a time series graph to the output destination. The time series graph may be any graph that expresses the change over time of the analysis result for the tomographic image of the eye to be examined. For example, a graph in which each analysis result is plotted in time series, a trend graph by trend analysis of each analysis result, etc. Is output.

  As a result, since a time-series graph in the region selected by the examiner is output, the examiner can easily confirm the change over time in the analysis result regarding the region of interest to the examiner.

  When accepting a selection instruction from an examiner for selecting an analysis region, the control unit may accept a selection instruction from the examiner for a two-dimensional image related to the examination date on which the analysis result is acquired, for example. Examples of the two-dimensional image include a two-dimensional tomographic image, a two-dimensional front image (SLO, a fundus camera image, or a front image generated from an OCT interference signal), a two-dimensional analysis chart, and a two-dimensional image. It may be at least one of analysis maps. Of course, the examiner may receive a selection instruction from the examiner for the three-dimensional image related to the examination date from which the analysis result is acquired.

  For example, the instruction receiving unit may receive a selection instruction from the examiner on the display screen output to the display unit. The tomographic image, front image, analysis chart, and analysis map on the display screen are used for selection of the graph creation region.

  When acquiring the analysis result of the region selected as the graph creation region, for example, the control unit can reduce the processing time by acquiring the analysis result acquired in advance with respect to the selected region. Of course, for example, when a graph creation region is selected, the control unit may analyze a tomographic image and obtain an analysis result regarding the selected region.

<Setting of follow-up observation position on tomographic image (see FIGS. 11 to 13)>
For example, the instruction receiving unit may receive a selection instruction from an examiner for selecting at least a part of the tomographic image as a graph creation region. For example, the control unit may acquire the analysis results in the analysis region selected on the tomographic image with respect to the tomographic images acquired on different days, and output the time series graph to the output destination. As a result, a time-series graph relating to the region selected on the tomographic image is output, so that the examiner can confirm the temporal change in the analysis result relating to the site of interest of the examiner on the tomographic image.

  The control unit acquires, for example, the analysis result in the selected analysis region regarding the tomographic image used for the selection instruction, and the same part as the selected analysis region regarding other tomographic images acquired on different days You may obtain the analysis result in. For example, when obtaining the analysis result of the same part, the control unit obtains the analysis result associated with the coordinate position on the tomographic image selected as the analysis region, to the coordinate position related to the same part in the other tomographic image. You may acquire the analysis result linked | related.

  The coordinate position of the tomographic image and the analysis result at the coordinate position may be associated in advance. When obtaining the analysis result acquired in advance, for example, when the coordinate position of the tomographic image corresponding to the selected analysis region is specified, the control unit may obtain the analysis result corresponding to the specified coordinate position. .

  When obtaining an analysis result regarding the same part on different days, the control unit is preferably a tomographic image in which the OCT scanning patterns match, but the present invention is not limited to this. For example, even if the scanning patterns are different, it suffices if the imaging region is common. The plurality of tomographic images acquired on different days are preferably at least three or more tomographic images.

  As the region selected by the instruction receiving unit, for example, a one-dimensional region (see FIG. 12) or a two-dimensional region (see FIG. 13) on the tomographic image can be selected. As a one-dimensional region, for example, an analysis result related to the depth direction is selected by setting one line in the depth direction. Of course, at least a part of lines in other directions (for example, lines in the transverse direction) may be selected. The line may not be a line extending from one end of the image to the other end, but may be a part thereof.

  As the two-dimensional region, for example, an analysis result regarding the depth direction at a plurality of positions may be selected by setting a region including a plurality of A scan lines in the depth direction. The A scan line may not be an A scan line extending from one end of the image to the other end, and may be a part thereof. The same applies to the region set in the transverse direction.

  When setting the follow-up observation position for a one-dimensional region on the tomographic image, the instruction receiving unit, for example, an examiner for selecting the one-dimensional region on the tomographic image output on the display screen of the display unit as a graph creation region A selection instruction from may be accepted. For example, the control unit may acquire at least one analysis result in the selected one-dimensional region. As a result, a time series graph relating to the one-dimensional region on the tomographic image selected by the examiner is output.

  For example, a movable line (straight line, line segment) is displayed in a superimposed manner on the tomographic image, and a one-dimensional area designated by the line is selected as a graph creation area. Moreover, it is not limited to this, What is necessary is just to be displayed so that discrimination | determination is possible by displaying the selected one-dimensional area | region in a different display mode with respect to another area | region. For example, the selected one-dimensional area may be displayed in different display modes (for example, different colors and different contrasts). Further, it may be configured to accept designation of two arbitrary points on the tomographic image and select a region connecting the two points.

  When setting the follow-up observation position with respect to the two-dimensional region on the tomographic image, the instruction receiving unit, for example, an examiner for selecting the two-dimensional region on the tomographic image output on the display screen of the display unit as the graph creation region A selection instruction from may be accepted. For example, the control unit may acquire at least one analysis result in the selected two-dimensional region. As a result, a time series graph relating to the two-dimensional region on the tomographic image selected by the examiner is output.

  For example, a movable frame is superimposed and displayed on the tomographic image, and a two-dimensional region designated by the frame is selected as the graph creation region. The shape of the frame is not limited to a rectangle, and an arbitrary shape (for example, a round shape) can be used. Further, the present invention is not limited to this, and the selected two-dimensional area may be displayed so as to be distinguishable from other areas. For example, the selected two-dimensional area may be displayed in different display modes (for example, different colors and different contrasts).

  In addition, it is possible to accept designation of two arbitrary points on the tomographic image and select a two-dimensional region having a line segment connecting the two points as a diagonal line as an analysis region.

  When acquiring at least one analysis result in the two-dimensional region, the control unit may obtain an analysis result obtained by integrating a plurality of analysis results, for example. Basic statistics may be used as the integration result. The basic statistic may be a representative value (average value, median value, mode value, maximum value, minimum value, etc.), distribution degree (dispersion, standard deviation, coefficient of variation), or the like.

  Specifically, the control unit may acquire a representative value (for example, an average value) of the analysis results for each A scan signal in the two-dimensional region, or the maximum of the analysis results for each A scan signal in the two-dimensional region. Value / minimum value may be obtained.

<Setting of the follow-up observation position on the analysis chart (see analysis area display 170 in FIGS. 4, 6, and 8)>
For example, the instruction receiving unit may receive a selection instruction from an examiner for selecting at least one section divided by an analysis chart (for example, fundus analysis chart, anterior eye analysis chart) as a graph creation region. . For example, the control unit may acquire the analysis result in the section selected as the graph creation region with respect to the tomographic images acquired on different days, and output the time series graph to the output destination. As a result, a time-series graph showing the change over time of the analysis result regarding the section divided in the analysis chart is output. The examiner can confirm the change over time of the analysis result in the analysis chart.

  In the analysis chart (see the analysis chart 130 in FIG. 4), for example, the control unit indicates an analysis value for each preset section. The control unit may obtain a basic statistic of the analysis result for each preset section as the analysis value. The basic statistic may be a representative value (average value, median value, mode value, maximum value, minimum value, etc.), distribution degree (dispersion, standard deviation, coefficient of variation), or the like.

  More specifically, the analysis chart may be a chart showing a representative value (for example, an average value, a median value) of analysis results for each preset section. The analysis chart may be a chart indicating the maximum value or the minimum value of the analysis result for each preset section. The analysis result for each section includes the analysis result at each position in the section, so that a stable analysis value can be obtained.

  The analysis chart is displayed on the display unit, for example. For example, the instruction receiving unit may be configured to receive a selection instruction from the examiner when at least one section is selected by the examiner from a graphic imitating the analysis chart. The instruction receiving unit may be configured to receive a selection instruction from the examiner when, for example, the section of the analysis chart of the eye to be examined in which the analysis result is displayed in section units is selected by the examiner. According to the above two examples, the examiner can easily select a desired section. The instruction receiving unit is not limited to this, and may be configured to receive a selection instruction from an examiner when at least one section is selected in a display format in which each section is listed, for example.

  There may be one or more sections selected by the instruction receiving unit. The analysis chart used for creating the time series graph may be configured to be selectable from a plurality of analysis charts. Of course, it may be a single analysis chart that cannot be selected.

  When acquiring the analysis result, the control unit may calculate the analysis result when the section is selected, for example. When acquiring the analysis result, the control unit may acquire the analysis result corresponding to the section selected in advance from the analysis chart having the analysis result, for example.

  For example, the control unit may obtain analysis results corresponding to the same section of the same chart based on tomographic images acquired on different days. Of course, it may be a different section depending on the acquisition date.

  Note that the analysis chart is calculated based on, for example, three-dimensional OCT data acquired by two-dimensional scanning (for example, raster scanning) on the eye to be examined. Of course, it may be calculated based on each two-dimensional OCT data acquired by multi-scan such as radial scan.

<Display section selection area>
For example, the instruction receiving unit may output a section selection unit having a selection area formed at a position corresponding to each section of the chart to the display screen of the display unit. For example, the instruction receiving unit may receive a section selection instruction from the examiner according to the selection region selected on the section selection unit. Thereby, since the selection area | region for every section is provided, the examiner can confirm easily the time series graph regarding at least a section of an analysis chart.

  The section selection unit is, for example, a graphic imitating an analysis chart, and the divided selection area may function as a selection button. Selection of the selection area is performed, for example, by clicking a cursor or touch panel operation.

<Output of section discrimination information (see graph 150a in FIGS. 4, 6, and 8)>
For example, the control unit may output a time series graph relating to a plurality of sections in the analysis chart so as to be discriminable on the same graph. For example, the control unit may output section determination information indicating the position of the section output to the time series graph on the analysis chart. Thereby, the examiner can confirm the position on the analysis chart regarding the section displayed on the graph.

  As an output method that can be discriminated, for example, a graph plot or a line connecting the plots may be displayed in different display modes (for example, different colors, different indexes, different line types, etc.).

  The section determination information may be, for example, a graphic having a display area formed at a position corresponding to each section of the analysis chart and indicating the section output on the time series graph. Note that the section discrimination information may be characters, indicators, etc. that identify a plurality of graphs.

  When the time series graph is output to the display screen of the display means, section determination information may be added to the section selection area described above. Thereby, since the section selection and the discrimination information are displayed in the same area, the examiner can easily confirm the section selection and the section displayed on the graph.

<Output of a two-dimensional image for each examination date in a specific period on a time series graph (see FIG. 8)>
The instruction receiving unit (for example, the CPU 20) is a plurality of two-dimensional images related to each examination date in a specific period within a period in which the analysis result is output on the time series graph, and the plurality of the two-dimensional images output to the output unit You may receive the selection instruction | indication from the examiner for selecting a two-dimensional image.

  The control unit (for example, the CPU 20) may arrange a plurality of two-dimensional images selected by the instruction receiving unit in time series together with the time series graph and output the images to the output unit. Thereby, the examiner can confirm the two-dimensional image regarding the period of interest on the time series graph.

  When receiving a selection instruction from an examiner for selecting a plurality of two-dimensional images output to the output unit, the control unit may receive a selection instruction from the examiner via a user interface, for example.

  The instruction receiving unit, for example, receives selection instructions from the examiner for operations on a display area in which two-dimensional images are displayed side by side (for example, scroll operation, movement of a scroll bar, drag operation, slide operation, flick operation, button movement, You may accept via keyboard operation.

  For example, the instruction receiving unit receives a selection instruction from the examiner and performs an operation on the display area where the time series graph is displayed (for example, click operation, scroll operation, scroll bar movement, drag operation, slide operation, flick operation, button It may be accepted via movement, keyboard operation).

  For example, the instruction receiving unit may receive a selection instruction from the examiner via a period input operation (for example, the start and end of the period are input) via the user interface. Further, a selection instruction from the examiner may be received by selecting a list.

  The specific period may be, for example, a part of the entire period in which the analysis result is output. The entire period may be the entire collection period of analysis results or a part of the entire collection period. In the case of the whole collection period, a part of the whole period may be specified, and in the case of a part of the whole collection period, the part of the whole collection period may be specified.

  The control unit may output at least one of a captured image and an analysis image as a two-dimensional image. When outputting a captured image, the control unit may output a tomographic image acquired by an ophthalmic optical coherence tomography. Thereby, the examiner can confirm the tomographic image regarding the period of interest on the time series graph. In this case, the original tomographic image obtained from the analysis result output on the time series graph is preferable, but a certain effect can be obtained even with other tomographic images.

  In addition, the control unit may output a front image (for example, a front image acquired by an SLO or a fundus camera) acquired on the same day as the tomographic image as a captured image. Thereby, the examiner can confirm the front image regarding the period of interest on the time series graph.

  When outputting an analysis image, the control unit may output at least one of an analysis map, an analysis chart, and an analysis result table. Thereby, the examiner can confirm the analysis map or the analysis chart regarding the period of interest on the time series graph. In this case, an analysis map or an analysis chart including the analysis result output on the time series graph is preferable, but a certain effect can be obtained even with other tomographic images.

  For example, the control unit may output a color map that two-dimensionally represents an analysis result on the eye to be examined (for example, thickness of the eye to be examined, curvature, etc.) as the analysis map. Further, the control unit may output, as the analysis chart, for example, a chart indicating a representative value of the analysis result (for example, the thickness of the eye to be examined, the curvature, etc.) for each preset section. Moreover, a control part may output a nipple analysis result, center thickness, and a volume value as a table | surface as an analysis result table | surface.

<Change of period for outputting 2D image>
The instruction receiving unit may receive a change instruction from an examiner for changing a specific period, and the control unit may change the two-dimensional image according to the specific period changed by the instruction receiving unit. Thereby, the examiner can change the period of interest on the time series graph, and can confirm the two-dimensional image in the changed period.

  For example, the control unit may output two-dimensional images relating to a specific period changed by the instruction receiving unit side by side. The instruction receiving unit may receive a change instruction from the examiner by an operation similar to the selection instruction from the examiner described above.

<Fixed display of a part of a two-dimensional image (see FIGS. 9A and 9B)>
The instruction receiving unit may receive a selection instruction from an examiner for selecting at least one of the two-dimensional images displayed on the display unit as a fixed display image. The control unit fixes the display of the two-dimensional image selected as the fixed display image, but changes and displays another two-dimensional image different from the fixed image according to the change instruction from the instruction receiving unit. Also good.

  Thereby, it is possible to easily compare the part focused on by the examiner with other parts beyond the time-series order.

  For example, the instruction receiving unit may receive a selection instruction from the examiner for selecting as a fixed display image in accordance with the selection operation of the examiner with respect to the two-dimensional image displayed on the display unit.

  For example, the instruction receiving unit may receive a selection instruction from the examiner for selecting as a fixed display image in accordance with the selection operation of the examiner with respect to the time series graph.

  For example, the control unit may display the two-dimensional images selected as the fixed display images adjacent to each other and display other two-dimensional images in time series in a display area different from the fixed display image. . Of course, the two-dimensional images selected as the fixed display images may be displayed separately.

  In this case, the fixed display image and other images need not be displayed in time series. Further, the fixed display image and other images may be displayed separately.

<Distinction display of period during which 2D image is output>
The control unit may output the specific period in which the two-dimensional image is output in a different display manner on the time series graph so as to be discriminable. Since the examiner can discriminate the specific period in which the two-dimensional image is output on the time-series graph, the examiner can easily associate the two-dimensional image with the graph.

  For example, when outputting in a discriminable manner, the control unit may output, for example, a graph related to a specific period in which the two-dimensional image is output and a graph related to another period in different display modes. Specifically, the control unit displays different modes (for example, different colors, different line types, presence / absence of painting, different animations (for example, fixed display of one period, The other period may be output in a blinking display)). The control unit may emphasize and display a graph regarding a specific period in which the two-dimensional image is output.

  The control unit may give a display indicating a specific period in which the two-dimensional image is output on the time-series graph.

  When outputting in a discriminable manner, the control unit may divide and output a specific period and another period in the time series graph. Specifically, the control unit may add a division line at a boundary between a specific period and another period as the divided output. As the division line, for example, division by a line may be used, or division by outputting the background of a graph of a specific period and another period in different modes (for example, different colors) may be used. .

  When outputting in a discriminable manner on the display screen on the display unit 1, the control unit displays the analysis result regarding the specific period on the time series graph in the first display mode and the analysis result regarding another period. May be displayed in a second display mode different from the first display mode.

  Further, when the time series graph with the above-described division line added is displayed on the display screen on the display unit 1, the instruction receiving unit makes the division line movable on the time series graph, and responds to the movement of the division line. Then, a change instruction for a specific period from the examiner may be accepted. The control unit may display two-dimensional images relating to a specific period corresponding to the moved divided line side by side.

<Selecting a specific period using a graph>
The control unit may separately display a specific period and another period in the time-series graph displayed on the display screen of the display unit. The instruction receiving unit may receive an operation from the input unit for changing the display position of the divided display as a change instruction from the examiner. The control unit may change the two-dimensional image according to the specific period changed by the instruction receiving unit. Thereby, since the two-dimensional image of the period which an examiner desires can be changed from a time series graph, detailed analysis becomes easy.

<Program>
The analysis device includes a processor (for example, a CPU) that controls various control processes and a storage medium that stores an analysis program. The processor executes processing according to the analysis program.

  Hereinafter, examples of the present embodiment will be specifically described with reference to the drawings. In the following description, a fundus analysis apparatus will be described as an example of the ophthalmologic analysis apparatus.

  Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram illustrating a configuration of the fundus analysis apparatus according to the embodiment. As shown in FIG. 1, the present apparatus includes a CPU (Central Processing Unit) 20 as a processor that performs arithmetic processing of the entire fundus analysis apparatus, a storage unit 30, a display unit 1, and an input unit 4. Composed. Each unit is electrically connected to the CPU 20 via a bus or the like.

  The storage unit 30 stores a fundus analysis program for follow-up observation, and includes, for example, a hard disk, a flash memory, or the like.

  In addition, as the CPU 20, the input unit 4, the storage unit 30, and the display unit 1, a fundus analysis program is installed on a commercially available PC using an arithmetic processing unit, an input unit, a storage unit, and a display unit of a commercially available PC (personal computer). You may make it do. Of course, as the CPU 70, the input unit 4, the storage unit 30, and the display unit 1, an arithmetic processing unit, an input unit, a storage unit, and a display unit included in the optical coherence tomography 10 may be used.

  The display unit 1 displays on a display screen a tomographic image obtained by an ophthalmic optical coherence tomography, a tomographic image analysis result, a time series graph formed from time series data of the obtained analysis result, and the like. The input unit 4 includes a keyboard, a mouse, and the like, and is a configuration for a user (user) of the fundus analysis apparatus to input various information.

  The fundus analysis apparatus according to the present embodiment is, for example, a computer, and the CPU 20 executes the program by performing various arithmetic processes after reading the above-described fundus analysis program on the RAM. For example, the CPU 20 controls the display screen of the display unit 1 according to the fundus analysis program.

  The storage unit 30 in FIG. 1 stores the analysis result of the tomographic image of the eye to be inspected acquired on different days by the optical coherence tomography 10. For example, a formation result for each examination date for each subject to be observed is included.

  In addition to the analysis result, the storage unit 30 stores, for example, a tomographic image as a basis for obtaining the analysis result, a layer thickness map image (for example, a thickness map image) based on the analysis result, a scanning pattern when scanning the tomographic image, a scanning position, and the like It may be stored. This data is appropriately converted into image data by the CPU 20 and presented to the user via the display unit 1.

  For example, information related to the event may be stored in the storage unit 30. As information related to an event, for example, information related to an event related to retinal treatment can be considered. For example, an event occurrence date and an event type (for example, medication, surgery (photocoagulation, TTT, PDT, etc.), etc.) may be stored for each subject. The storage unit 30 may store a scheduled date for the occurrence of a future event and the type of the event.

  For example, a normal eye database may be stored in the storage unit 30. In the normal eye database, for example, a database in which the retinal thickness of the normal eye related to retinal diseases is stored based on the examination results and prescription results of many patient eyes may be stored. The normal eye database is databased in a state where, for example, the disease is not specified and the retinal thickness or the retina inclination is classified as normal or abnormal. Of course, a normal eye database may be formed for each specific disease. In addition, a normal eye database related to myopic eyes may be constructed.

  The optical coherence tomography (OCT) 10 is a device that obtains a tomographic image of the fundus of the eye to be examined, and obtains an analysis result (for example, retinal thickness information) regarding the fundus of the eye to be examined based on the acquired tomographic image. In addition, about the function which analyzes a tomographic image and obtains an analysis result, the structure which controls a tomographic image may be sufficient as the control part which controls the optical coherence tomography (OCT) 10, and another control part is light. A configuration for analyzing a tomographic image obtained by the coherence tomography (OCT) 10 may be used.

  The optical coherence tomometer 10 divides the light emitted from the light source into measurement light and reference light. Then, the optical coherence tomography 10 guides the divided measurement light to the fundus oculi Ef of the eye E, and guides the divided reference light to the reference optical system. Thereafter, the detector (light receiving element) receives the interference light obtained by combining the measurement light reflected by the fundus oculi Ef and the reference light. The detector detects an interference state between the measurement light and the reference light. In the case of Fourier domain OCT, the spectral intensity of the interference light is detected by a detector, and a depth profile in a predetermined range is obtained by Fourier transform on the spectral intensity data. Examples of Fourier domain OCT include Spectral-DomainOCT (SD-OCT) and Swept-sourceOCT (SS-OCT). The optical coherence tomography 10 may be Time-DomainOCT (TD-OCT).

  The optical coherence tomography (OCT) 10 may be provided with a front observation optical system for obtaining a front image of the fundus of the eye to be examined. As the front observation optical system, a scanning confocal optical system and a fundus camera optical system can be considered. Further, a configuration in which a fundus front image is acquired based on an interference signal acquired by the optical coherence tomography 10 may be used.

  The optical coherence tomometer 10 obtains a tomographic image of the fundus oculi Ef based on the output signal from the detector. For example, the acquired tomographic image is subjected to image processing, and the retinal thickness of the fundus oculi Ef is measured. As the retinal thickness, for example, the thickness of each layer of the retina (specifically, the thickness of the optic nerve fiber layer (NFL), the thickness from the nerve fiber layer (NFL) to the retinal pigment epithelium layer (RPE), etc.) is acquired.

  Of course, two-dimensional retinal thickness information (thickness map) may be observed. The acquired retinal thickness information is sent to the CPU 20 and stored in the storage unit 30. In addition, the storage unit 30 stores image information (a tomographic image of the eye E, a front image, etc.) obtained by the optical coherence tomography 10, an analysis chart calculated based on the thickness information, various parameters, and the like.

  Note that the thickness of the choroid may be measured by processing the acquired tomographic image. Of course, two-dimensional choroid information (thickness map) may be observed.

  When inspection is periodically performed by the optical coherence tomography 10, retinal thickness information with different inspection dates as a result of follow-up observation is sent to the CPU 20 and stored in the storage unit 30. The retinal thickness information stored in the storage unit 30 is stored in association with the time axis, for example, for follow-up observation. The retinal thickness information as a function of time indicates a change in the retinal thickness over time.

  The interval between periodic inspections is generally every one to three months. For example, retinal thickness information is stored every month. The temporal change information is output to the display unit 1 as a graph as shown in FIG.

  Event information related to the eye to be examined (for example, the type of treatment performed on the eye to be examined E, the treatment date and time, etc.) is stored in the storage unit 30 via the input unit 4. The event information can be input by pulling down the type / inspection date on the display unit 1 or directly using a keyboard or the like. The event information is output to the display unit 1 as a graph as shown in FIG.

  In the storage unit 30, inspection data from devices other than the optical coherence tomography 10 is stored via the input unit 4. As examination information obtained by other devices, for example, a vision examination result, a visual field examination result, a photographed image with a fundus camera, and the like can be considered. The inspection data input by other devices may be selected by pulling down the type / inspection date on the display unit 1 or by direct input using a keyboard or the like.

  The optical coherence tomography (OCT) 10 and the fundus analysis apparatus are connected in a state where signals can be exchanged, and various data (for example, tomographic image data, front view) acquired by the optical coherence tomography (OCT) 10 are connected. The image data, various photographing conditions at the time of image acquisition (for example, the scanning position of the measurement light, the inspection date, etc.) are stored in the storage unit 30.

  FIG. 4 is a diagram showing a screen for displaying acquired measurement data on one screen and observing changes in the measurement data of the eye to be examined over time in a list.

  At least the follow-up observation display area 100 is formed on the list screen. The follow-up observation display area 100 includes an analysis result display area 101 for displaying analysis results acquired on different days using the optical coherence tomography 10 in time series, and a graph display area 150 for displaying time series graphs.

  In the analysis result display area 101, for example, analysis results are arranged in time series from left to right. Examination date information 102, image evaluation information 103, baseline information 104, retinal thickness map 110, tomographic image 120, analysis A chart 130 is displayed.

  The examination date information 102 displays the examination date and the age of the subject on the examination date. As the image evaluation information 103, a first evaluation value (for example, SSI) for evaluating the image quality of a tomographic image serving as a basis for measurement data calculation, and a second evaluation value for evaluating the image quality of a fundus front image acquired simultaneously with the tomographic image. Etc. are displayed. The baseline information 104 is information indicating a temporal relationship between analysis results output on the display unit 1, for example. In the analysis result output on the display unit 1, the oldest measurement data is set as a baseline as the start of follow-up observation. For other measurement data, an elapsed time (for example, year and month) with the baseline as the starting date is calculated and output on the display unit 1. In the present embodiment, the measurement data other than the analysis result set as the baseline is arranged in the order from the closest to the baseline inspection date.

  The retinal thickness map 110 is a color map showing a two-dimensional distribution of the retinal thickness of the eye to be examined, and is color-coded according to the layer thickness. The retinal thickness map 110 is a thickness map showing the thickness of the retinal layer, a comparison map showing the comparison result between the thickness of the retinal layer of the subject eye and the thickness of the retinal layer of the normal eye stored in the normal eye database, and the retina of the subject eye A deviation map that shows the deviation between the thickness of the normal eye and the thickness of the retinal layer of the normal eye stored in the normal eye database as a standard deviation, an inspection date comparison thickness difference map that shows the difference in thickness from each inspection date, etc. It is done. In addition, instead of the map displayed in the display area of the retinal thickness map 110, a fundus front image acquired by a scanning laser ophthalmoscope (SLO), a fundus camera, or the like may be displayed.

  Note that the two-dimensional image displayed in the display area of the retinal thickness map 110 can be selected by the two-dimensional image selection area 112. In the two-dimensional image selection area 112, for example, the type of the two-dimensional image output to the display unit 1 is displayed in a distinguishable manner. In FIG. 4, the comparison map is selected. The examiner can output a desired two-dimensional image by selecting a desired map or fundus front image on the customization screen as shown in FIG. 5 (see FIG. 5).

  As the tomographic image displayed in the area where the tomographic image 120 is displayed, a tomographic image corresponding to the measurement area of the retinal thickness map 110 is displayed. For example, as an initial setting, a tomographic image corresponding to a line corresponding to the center of the retinal thickness map 110 is displayed. The tomographic image to be output can be arbitrarily selected, and a tomographic image corresponding to a cutting line arbitrarily set on the retinal thickness map 110 is output on the display unit 1.

  The analysis chart 130 is a chart obtained by calculating the average of the two-dimensional distribution of the retinal thickness of the eye to be examined for each region. When the retinal thickness map 110 is a macular map, GCHART, S / I chart, ETDRS chart, etc. are selectively displayed.

  In addition, the analysis chart 130 may be provided with a numerical display area for displaying the layer thickness in the predetermined area with a numerical value. In the numerical display area, for example, the total average retinal thickness, the retinal thickness at the fovea, the average retinal thickness (for example, 1, 2, 3 mm) within a predetermined area centered on the fovea are displayed.

  In addition, regarding the tomographic image 120 and the analysis chart 130, data to be output on the display unit 1 can be arbitrarily selected. When the retinal thickness map 110 is a macular map, for example, the examiner can select GCHART, S / I chart, Two can be selected from ETDRS and tomographic image 120. That is, the data to be output on the display unit 1 can be customized.

  When the retinal thickness map 110 is a nipple map, an entire chart, an upper and lower chart (2 divisions), a TSNIT chart (4 divisions), a ClockHour chart (12 divisions), etc. are selectively displayed as analysis charts. For example, the examiner can select two of these charts and the tomographic image 120, and the selected chart or tomographic image is output on the display unit 1.

<Trend graph display>
CPU20 displays the time series graph 150a on the graph display area 150 using the layer thickness data in each inspection date. The time series graph 150a includes, for example, a time series data graph (for example, a line graph and a plot graph) in which layer thickness data on each inspection date are arranged in time series, and a trend of change over time in the layer thickness data on each inspection date. It has characteristics as a trend graph indicating (trend). Of course, the graph may be either a time series data graph or a trend graph.

  The time series graph 150a is, for example, a graph in which the horizontal axis is the time axis and the vertical axis is the retinal thickness, and shows the temporal change in the retinal thickness at the same fundus position of the same eye to be examined for each examination date. Of course, the relationship between the horizontal axis and the vertical axis may be reversed.

  The time axis formed as the horizontal axis is expressed by, for example, the age (age) of the subject as shown in FIG. 4, the elapsed period (˜Y) from the starting date of follow-up observation as the baseline, and the like. .

  As the vertical axis, a thickness value (for example, μm), a volume value (for example, mm 3) or the like can be considered as a numerical value for indicating the layer thickness of the retinal layer. In addition, as the layer thickness data output as the vertical axis of the trend graph, for example, the layer thickness value on a specific line in the tomographic image, the representative value of the layer thickness value on a specific area in the tomographic image, A layer thickness value (also referred to as analysis value data) in a specific section in the analysis chart can be considered.

  CPU20 displays the point corresponding to the layer thickness data in each inspection date as a graph. When creating the trend graph, the CPU 20 analyzes the trend of the layer thickness data on each inspection date, and displays a time series regression line T based on the layer thickness data on each inspection date. The regression line T shows the tendency of the time series change of the layer thickness data. Further, the CPU 20 displays the slope Tg of the regression line T.

  For example, the CPU 20 obtains a regression line from a series of layer thickness data and obtains the slope thereof. The regression line and the slope are obtained by an equation for calculating the regression line such as the least square method. An example of how to obtain a regression line is shown.

  Regression is a relational expression that can be expressed by x and y. It is linear regression that derives the equation y = ax + b from n points fitted to a plane, and this straight line is called a regression line.

  In order to derive the coefficients a and b, they may be substituted into the following equation. In this embodiment, an elapsed time with the bail line inspection date being 0 is substituted as the value of x. Further, layer thickness data (for example, analysis value data obtained from an analysis chart, retinal thickness data at a certain position, representative values of retinal thickness data at a certain region, etc.) are substituted as the value of y.

上記より求められた直線ｙ＝ａｘ＋ｂが回帰直線である。ａが回帰直線の傾きを示す。

The straight line y = ax + b obtained from the above is a regression line. a indicates the slope of the regression line.

  Besides the slope, the p value used in the statistics may be shown on a graph. The p-value is a measure of the possibility that a difference between groups will occur by chance during an experiment. For example, a p-value of 0.01 means that this result occurs by chance once in 100 times. The smaller the p-value, the more likely the difference between groups is due to treatment. In general, if p <0.05, the data (straight line) is said to be significant.

<Inclination comparison based on trend graph inclination information and normal eye data>
The CPU 20 may display the trend graph of the eye to be examined and the trend graph created using the normal eye data on the same graph. A trend graph based on normal eye data is acquired by calculating a regression line based on a temporal change of age-related layer thickness data in a normal eye without retinal disease, for example, by a clinical test or the like.

  If it carries out as mentioned above, the examiner can grasp | ascertain how much the time-dependent change of the retinal thickness of a to-be-tested eye has a difference compared with a normal eye. Accordingly, normality / abnormality of the eye to be examined can be confirmed from changes over time, and can be used for prediction of future diseases.

  Further, the CPU 20 compares the temporal slope information of the regression line in the trend graph with the temporal slope information of the regression line created using the normal eye data, and displays the comparison result on the graph. May be. The inclination information is expressed by a numerical value or an indicator, for example.

<Trend graph and additional information>
The CPU 20 displays the event information 160 as additional information on the time series graph 150a. The event information 160 is displayed corresponding to the event occurrence date. When setting the event information 160, for example, an event name (for example, “A medicine administration start”) is registered together with the date of occurrence by an operation input at the input unit 4. Thereby, the examiner can understand at a glance "when and what was done" on the time series graph 150a.

  The event information 160 is not limited to one, and a plurality of event information 160 can be input. An elapsed period from the event occurrence date may be added to the horizontal axis of the time series graph 150a. As a result, the elapsed time from the event occurrence date is associated with the temporal change of the layer thickness data.

  The CPU 20 may perform trend analysis separately before and after the event occurrence date in the event information 160. Thereby, the examiner can easily grasp the change in the retinal thickness due to the event.

  The CPU 20 analyzes the trend of the layer thickness data on each inspection date before the event occurrence date with the event occurrence date of the event information 160 as a boundary, and displays a time series regression line T1. Thereby, the examiner can easily grasp the trend of the layer thickness data before the occurrence of the event.

  The CPU 20 analyzes the trend of the layer thickness data of each inspection date after the event occurrence date with the event occurrence date of the event information 160 as a boundary, and displays a time series regression line T2. Thereby, the examiner can easily grasp the trend of the layer thickness data after the occurrence of the event.

  The addition of the event information 160 may be set at a plurality of locations. Every time an event is added, a new trend analysis is performed. When two events are added, for example, a first regression line based on layer thickness data before the first event, a second regression line based on layer thickness data between the first event and the second event, A third regression line based on layer thickness data after the event of 2 is obtained and output on the display unit 1.

<Analysis area display for trend graph>
The CPU 20 may display the analysis region display 170 indicating the analysis region corresponding to the layer thickness data indicated by the time series graph 150a together with the time series graph 150a. The information displayed on the analysis area display 170 is expressed by any one of a figure, a table, and an image, for example. Thereby, the examiner can easily confirm the position of the displayed graph.

  Below, the case of the trend graph by the layer thickness data obtained by the analysis chart is demonstrated as an example. As shown in FIG. 4, the CPU 20 displays a chart in which a section corresponding to the analysis chart is formed as the analysis area display 170. For example, the color of the section set on the chart as the trend graph creation area is associated with at least one of the graph point and the regression line corresponding to the layer thickness data in the section. For example, the point of the layer thickness data corresponding to the pink section and the regression line are expressed in pink on the time series graph 150a. From the relationship between the analysis area display 170 and the time series graph 150a, the examiner can easily grasp the measurement position corresponding to the layer thickness data indicated by the time series graph 150a.

  Note that a plurality of layer thickness data graphs having different sections may be displayed simultaneously on the time-series graph 150a. The CPU 20 may indicate the measurement position corresponding to each graph in the analysis area display 170. For example, in the chart in the analysis area display 170, the section corresponding to each graph is colored.

  The CPU 20 also serves as a selection area for selecting a section to be displayed on the time series graph 150a as the analysis area display 170. For example, when a section in the analysis area display 170 is designated using the cursor Cr displayed on the display unit 1 and a portion to be displayed as a graph is selected and input (for example, clicked), a graph of the selected section is displayed. Is done. Note that the CPU 20 may display a graph of the selected section when a specific section in the analysis chart displayed in the analysis result display area 100 is selected.

<Custom graph>
The CPU 20 may display a custom graph 180 in addition to the time series graph 150a. The custom graph 180 is a graph of inspection data after an inspection date by another device different from the optical coherence tomography (see FIG. 5).

  For example, a time series graph 150a and a custom graph 180 as shown in FIG. 5 are displayed side by side. The custom graph 180 displays, as a graph, changes in inspection data with time in other apparatuses that are desired to be compared with changes over time in the layer thickness data in the time series graph 160.

  Examples of the custom graph displayed include values such as MD values used in perimeters and visual acuity values measured by visual acuity testing devices.

  In FIG. 5, the time series graph 160 and the custom graph 180 are vertically arranged. However, the present invention is not limited to this, and the time series graph 160 and the custom graph 180 are displayed on one graph. It may be a display layout.

<Auxiliary screen>
As auxiliary screens, left and right eye switching button 200, axial length / eye refractive power display area 210, scan pattern setting area 220, disease and period selection area (hereinafter, selection area) 230, examination date selection area 240, display format selection area 250, an analysis layer selection area 260, and a display screen adjustment unit 270 are formed.

  The switching button 200 is a button for selecting an eye for outputting an analysis result between the left and right eyes. The CPU 20 outputs an analysis result and a graph corresponding to the eye selected by the switching button 200 to the analysis result display area.

  In the axial length / eye refractive power display area 210 of the eye to be examined, for example, an eye refractive value, an axial length value, and the like of the eye to be examined are displayed.

  The scan pattern setting area 220 is a display area for setting a scan pattern to be output to the analysis result display area.

  In the scanning pattern selection area 220, a tree is displayed that includes scanning patterns acquired by the optical coherence tomography from the start of examination to the present, and items indicating sites on the fundus acquired by the scanning patterns. The items in the tree in the setting area 220 are classified according to the combination of the imaging region on the fundus and the scanning pattern. For example, the macular map indicates OCT data obtained when a raster scan centered on the macular region on the fundus is performed. The nipple map indicates OCT data obtained when a raster scan centered on the nipple portion on the fundus is performed. The nipple radial indicates OCT data obtained when a radial scan centered on the nipple portion of the fundus is performed. FIG. 6 is a diagram illustrating an example of the follow-up observation display area 100 when a nipple part is selected as an imaging part, and FIG. 7 is a customization screen when the nipple part is selected as an imaging part.

  Accordingly, the examiner selects a desired item from the items selected in the tree format in the setting area 220 (for example, a click operation on the item). The CPU 20 outputs the selected corresponding analysis result on the display unit 1.

  In the selection area 230, the results to be output to the analysis result display area are distinguished according to the disease and the follow-up period, and these can be selected.

  In the selection area 230, for example, a plurality of tabs are displayed, and more specifically, long-term glaucoma, long-term macular disease, long-term custom, short-term glaucoma, short-term macular disease, alone, Items are divided by combinations of retinal diseases including long-term / short-term and custom display. When the examiner selects a desired item, a tree corresponding to the selected item is displayed on the scan pattern setting area.

  Long-term items such as long-term glaucoma, long-term macular disease and long-term custom are items for long-term follow-up. When this item is selected, analysis results acquired on different days are simultaneously displayed in the analysis result display area, and a trend graph created based on these analysis results is displayed on the display unit 1. The

  Short-term items such as short-term glaucoma and short-term macular disease are items for short-term follow-up. When this item is selected, two analysis results acquired on different days are simultaneously displayed in the analysis result display area. A retinal thickness map, an analysis chart, a tomographic image, and the like in the two analysis results are displayed relatively larger than when a long-term item is selected.

  Items related to custom are at least two display items selected by the examiner from a plurality of display items (for example, each retinal thickness map, each analysis chart, OCT image) regarding a plurality of analysis results acquired on different days. Is an item for displaying. Display items to be displayed in the items related to custom are selected in advance through an operation on the input unit 4 by the examiner.

  The examination date selection area 240 is a display area for selecting an examination date to be output to the display area 100.

  In the inspection date selection area 240, the acquisition dates (examination dates) of data acquired from the past to the present regarding the item selected in the setting area 220 are displayed as a list.

  A check box is formed for each inspection date. When an inspection date to be output to the analysis result area is checked, an analysis result corresponding to the checked inspection date is output to the analysis result display area 100. When the check box is unchecked, the analysis result display corresponding to the cleared inspection date is erased from the analysis result display 100.

  The CPU 20 may create the time series graph 150 a based on the analysis result corresponding to the checked examination date, and display the created time series graph 150 a on the display unit 1. A trend graph based on an appropriate analysis result can be created by making it possible to select an analysis result as a basis of the time series graph 150a for each examination date as described above. For example, even when the image quality of an OCT image obtained on a certain inspection date is low (for example, when blinking occurs), it is excluded as basic data of a trend graph by not selecting the corresponding inspection date. .

<Detailed explanation of auxiliary items>
In the auxiliary item display area, a display format selection area 250, an analysis layer selection area 260, and a display screen adjustment unit 270 are formed. The display format selection area 250 is an area for selecting the display format of the analysis chart. For example, either the thickness display mode or the difference display mode is selected. When the thickness display mode is selected, the CPU 20 displays an analysis chart that directly represents the retinal thickness value for each analysis result with different inspection dates. In the difference display mode, the CPU 20 displays an analysis chart that directly represents the retinal thickness value for the analysis result set to the baseline, and the analysis result set to the baseline for the analysis results other than the baseline is displayed. An analysis chart expressed as a difference is displayed.

  The analysis layer selection area 260 is a display area for setting the start and end of the analysis layer output as a retinal thickness map and an analysis chart. When an analysis layer is set in the analysis layer selection area 260, the CPU 20 acquires layer thickness information regarding the set analysis layer, and creates a retinal thickness map and an analysis chart based on the acquired layer thickness information. The created retinal thickness map and analysis chart are output to the display unit 1.

  The display screen adjustment unit 270 is a display area for adjusting the display color of the analysis result and the contrast of the display unit 1, for example.

  Note that when follow-up imaging is performed based on a preset reference imaging pattern (BaseLine), the CPU 20 may correct a positional shift between tomographic images by image processing. As a result, any position set in BaseLine is automatically reflected in the FollowUp data. Therefore, it is not necessary to set an arbitrary position individually.

  In addition, about the said Example, it is also possible to express as follows.

  (1) The control unit displays a time series graph created from a plurality of OCT data acquired on different days together with additional information.

  (2) A time series graph obtained from a plurality of data shows a trend analysis graph.

  (3) The control unit adds event information such as surgery and medication together with the date and time on the graph of (1).

  (4) A new trend analysis is performed from the event position set in (3), and a trend graph before the event and a trend graph after the event are displayed. The elapsed time from the event position is also displayed.

  (5) In (2), the inclination of the trend analysis graph obtained from a plurality of data is compared with the inclination of the graph based on normal eye data, and the comparison result is displayed.

  (6) In (1) or (2), display in a chart together with the graph so that the portion of the data used in the graph can be understood.

  (7) In (6), the chart to be displayed together with the graph is a chart or table in a map or the like, and the part displayed in the graph is distinguished and displayed so as to be understood by color. You can also click the part of the chart that you want to display on the graph to switch the graph display.

  (8) In (1) or (2), apart from the time series graph created from a plurality of data acquired on different days, another time series graph created from data input by the user is displayed together.

  (9) The data input by the user in (8) is at least one of an MD value and visual acuity.

<Output of 2D image for each examination date in a specific period on time series graph>
FIG. 8 is a diagram illustrating an example of outputting a two-dimensional image in a specific period on the time series graph. The CPU 20 displays the time series graph 150a on the display screen, and displays a two-dimensional image (for example, a photographed image and an analysis image) related to the period during which the analysis result is output on the time series graph 150a.

  Here, when the analysis results are collected over a long period, when the analysis results are collected many times, and when a two-dimensional image is output for all periods during which the analysis results are output, It is reduced and it is difficult for the examiner to confirm the analysis result.

  Therefore, the CPU 20 may output the two-dimensional images 105 relating to a specific period in time series. The two-dimensional image 105 is a two-dimensional image related to each examination date in a specific period within the period in which the analysis result is output on the time series graph 150a. The two-dimensional image display area (hereinafter referred to as display area) 101a is used as a display area for displaying a plurality of two-dimensional images 105 related to a specific period.

  For example, the CPU 20 may set the two-dimensional image 105 to be output to the display area 101a based on the operation signal from the input unit 4 for the display area 101a. Specifically, the CPU 20 stores, in the memory 40, image data in which a two-dimensional image related to a period during which the analysis result is output is stored on the time series graph 150a, and according to an operation signal from the input unit 4. A specific part of the image data stored in the memory 40 may be output to the display area 101a as a two-dimensional image 105 relating to a specific period. Of course, the CPU 20 may create a two-dimensional image that is sequentially output to the display area 101a in response to an operation signal from the input unit 4. In this way, the two-dimensional image 105 output to the display area 101a is set / changed through an operation from the input unit 4.

  As an operation for the display area 101a, for example, the CPU 20 may set or change the two-dimensional image 105 to be output to the display area 101a by a scroll operation, a drag operation, a slide operation, a flick operation, or the like on the display area 101a.

  The operation on the display area 101a includes an operation on the operation display area displayed in the vicinity of the two-dimensional image 105 arranged in time series. For example, when an operation signal for scrolling the scroll bar 106 formed between the two-dimensional image 101a and the time series graph 150a is input from the input unit 4, the CPU 20 displays the scroll bar 106 on the display screen. The two-dimensional image 105 output to the display area 101a may be set / changed according to the movement.

  When the two-dimensional image 105 output to the display area 101a is selected, the CPU 20 may display the specific period in which the two-dimensional image 105 is output so as to be discriminable on the time series graph 150a.

  For example, the CPU 20 displays different plots or lines (for example, broken lines, trend lines) on the time-series graph 150a with respect to a specific period and other periods (for example, different colors, different line types, presence / absence of filling, etc.). May be output (see FIG. 8).

  In this way, the two-dimensional image 105 relating to a specific period desired by the examiner can be observed, and the period in which the two-dimensional image 105 is output can be confirmed on the time series graph 150a.

  Note that the CPU 20 may set / change the two-dimensional image 105 to be output to the display area 101a based on the operation signal from the input unit 4 for the display area 150.

  For example, the CPU 20 may display two-dimensional images of a specific period corresponding to the operation position on the display area 150 in time series. For example, when the CPU 20 performs a click operation on the display area in which the time series graph is displayed, the CPU 20 displays a two-dimensional image with the clicked display position as the start point of the period in a time series.

  Further, the position of the line dividing the specific period and the other period is adjusted on the time series graph 150a, and the two-dimensional image related to the period specified by the adjusted line is displayed as a two-dimensional image 105 in the time series in the display area 101a. May be displayed side by side.

  The operation on the display area 150a includes an operation on the operation display area displayed in the vicinity of the time series graph 150a. For example, when an operation signal for scrolling a scroll bar formed at the lower part or the upper part of the time series graph 150a is input from the input unit 4, the CPU 20 displays the display area 101a in accordance with the movement of the scroll bar. The two-dimensional image 105 to be output may be set / changed.

  In addition, when outputting the two-dimensional image 105 regarding a specific period to the display area 101a, there is also a method in which the two-dimensional image 105 regarding a specific period is displayed in a large size and the two-dimensional images regarding other periods are displayed relatively small. included.

<Fixed display of part of 2D image>
FIG. 9 is a diagram illustrating an example in which a part of a two-dimensional image is fixedly displayed.

  For example, when a check box attached to each image of the two-dimensional image 105 is pressed, the CPU 20 sets these as fixed display images (see FIG. 9A). Of course, one of the two-dimensional images 105 may be selected, or a plurality of the two-dimensional images 105 may be selected.

  Then, the CPU 20 displays the two-dimensional images 105a set as the fixed display images adjacent to each other in the display area 101a (see FIG. 9B). Further, the CPU 20 displays the other two-dimensional images 105b in time series in a display area different from the fixed display image on the display area 101a.

  Here, when an instruction to change the two-dimensional image 105b is accepted through the operation of the input unit 4 (for example, a scroll operation, a drag operation, a slide operation, a flick operation, etc. on the two-dimensional image 105b), the CPU 20 The other two-dimensional image 105b to be output to the display area 101a is changed.

  In the description of the above embodiment, the fixed display image is selected on the two-dimensional image 105, but the present invention is not limited to this. For example, a fixed display image may be selected on the time series graph 150a. For example, when a plot on the time series graph 150a is clicked, a two-dimensional image of the examination date corresponding to the plotted analysis result is selected as a fixed display image.

  Further, the CPU 20 may display a two-dimensional image indicating a comparison result between the analysis value corresponding to the fixedly displayed two-dimensional image 105a and the analysis value corresponding to the other two-dimensional image 105b. (See FIG. 10). FIG. 10 is a diagram showing an example of retinal thickness comparison from attention inspection data. The inspection data of the reference 1 is compared with the comparison 1, the inspection data of the reference 2 is compared with the comparison 2, the inspection data of the reference 3 is compared with the comparison 3, and the comparison result is displayed.

<Setting of follow-up observation position on tomographic image>
In the progress output of analysis results acquired on different examination dates, the CPU 20 is an image analysis unit that analyzes a fundus tomographic image stored in the storage unit 30 and obtains an analysis result (for example, retinal thickness), for example. The image analysis means may extract an analysis result of at least a part of the tomographic image selected through the selection instruction from the examiner. Obtaining the retinal thickness as an analysis result is useful in diagnosing fundus lesions, but as described in <Summary>, the analysis result is not limited to the retinal thickness.

  Here's an example. In the following example, an example using a tomographic image obtained by performing line scanning on the macular region on the fundus of the eye to be examined by the optical coherence tomography 10 will be shown. The OCT image shown in FIG. 11 is a macular line image.

  When the scanning pattern is a one-dimensional scan, a fundus front image, a tomographic image TM, a retinal thickness graph 300, and a time series graph 150a are displayed in the follow-up observation display area 100. As one-dimensional scans, in addition to line scans, scans such as multi-line scans (a plurality of line scans spaced apart from each other), cross scans (line scans that cross each other (for example, cross crosses)), circle scans, etc. Patterns.

  In the retinal thickness graph 300, the horizontal axis indicates the distance from the start point, and the vertical axis indicates the thickness of the analysis layer from the start layer to the end layer. The retinal thickness graph 300 displays retinal thickness data obtained on different inspection dates on the same graph. The retinal thickness graph 300 is displayed, for example, in a region adjacent to the time series graph 150a. When three or more inspection dates are selected, three or more retinal thickness data obtained on different inspection dates are displayed on the same graph in the retinal thickness graph 300 (see FIG. 11).

  In the case of multiline scan, cross scan, etc., a plurality of tomographic images are acquired. In this case, a retinal thickness graph corresponding to each tomographic image may be simultaneously displayed on the display unit 1.

<Line setting on tomographic image>
FIG. 12 is an example for one-dimensionally setting a position where the follow-up observation is desired on the tomographic image TM. For example, the CPU 20 electronically displays the line display L on the tomographic image TM displayed in the follow-up observation display area 100. The line display L is displayed on the tomographic image TM by a predetermined operation (for example, a right click operation).

  The CPU 20 receives an operation signal from the input unit 4 and moves the line display L on the tomographic image TM. The line display L is used for setting a line by two arbitrary points on the OCT data. The line display L is displayed, for example, in parallel with the depth direction, and is used to acquire layer thickness data at a specific position in the tomographic image. Note that any two points on the OCT data may be set. For example, a configuration in which a line is designated by a mouse click operation may be used. Further, the display shape of the line display L is not limited to that in FIG. 12, and it is sufficient that the line can be set on the tomographic image.

  The CPU 20 sets a line set via the input unit 4 as a graph creation area. When a line by the line display L is set in at least one of the tomographic images, the line is set at the same position on the other tomographic images and set as a graph creation region. That is, the CPU 20 reflects a line set on a certain tomographic image on another image. Thereby, the position selected by the examiner on the tomographic image is set as the graph creation region. It should be noted that the same position does not have to be completely the same position, and may be a level that can be regarded as the same position so that follow-up observation can be performed.

  CPU20 acquires the layer thickness data on the line set by the line display L in the layer thickness data of the eye to be examined regarding each examination date. In the retinal layer on the line, for the retinal layer that outputs the layer thickness data, the start layer and the end layer are preset in the analysis layer selection region 260. The CPU 20 creates a time series graph 150 a composed of the acquired layer thickness data for each inspection date, and outputs the created time series graph 150 a on the display unit 1.

  As a result, the time series graph 150a corresponding to the line on which the examiner has paid attention on the tomographic image can be output, so that the examiner can easily follow the layer thickness data corresponding to the position of interest.

  In the case of multi-line scan, cross scan, etc., a plurality of tomographic images having different scanning positions (starting point and end point of scanning) are acquired on each inspection date, and a plurality of tomographic images are displayed on the display unit 1. When a line by the line display L is set in at least one of the tomographic images, the line may be set at a position on another tomographic image having a different scanning position, and may be set as a graph creation position. In this case, on other tomographic images having different scanning positions, the line may be set in a region corresponding to the same distance from the position where the line is set by the line display L and the starting point.

<Area setting on tomographic image>
FIG. 13 is a diagram for two-dimensionally setting a position on which a follow-up observation is desired on a tomographic image. For example, the CPU 20 electronically displays the frame K on the tomographic image TM displayed in the follow-up observation display area 100. The frame K is displayed on the tomographic image TM by a predetermined operation. For example, in a state where an arbitrary point on the tomographic image TM is designated, it is displayed by a drag operation in an oblique direction.

  The CPU 20 receives an operation signal from the input unit 4 and adjusts the size and display position of the frame K on the tomographic image TM. The frame K is used, for example, for setting an arbitrary area (two-dimensional region) on the OCT data. The frame K is displayed, for example, so as to surround at least a part of the tomographic image TM, and is used for acquiring layer thickness data in a specific area in the tomographic image TM. Note that any area on the OCT data may be set. For example, the area may be specified by a mouse click operation or a touch operation on the touch panel. Further, the display shape of the frame K is not limited to that in FIG. 13, and it is sufficient that an area can be set on the tomographic image TM.

  The CPU 20 sets the area set via the input unit 4 as a graph creation area. When the area by the frame K is set in at least one of the tomographic images TM, the area is set at the same position on the other tomographic images and set as the graph creation position. That is, the CPU 20 reflects an area set on a certain tomographic image TM on another image. Thereby, the region selected by the examiner on the tomographic image acquired on each examination date is set as the graph creation region. The same position does not have to be completely the same position, and may be a level that can be regarded as the same position so that follow-up observation is possible.

  The CPU 20 acquires a plurality of layer thickness data included in the area set by the frame K in the layer thickness data of the eye to be examined regarding each examination date. In the retinal layer in the area, the start layer and the end layer are set in advance in the analysis layer selection region 260 for the retinal layer that outputs layer thickness data. The CPU 20 creates a time series graph 150 a composed of the acquired layer thickness data for each inspection date, and outputs the created time series graph 150 a on the display unit 1.

  CPU20 calculates the basic statistical value (for example, a representative value, a dispersion degree) of each layer thickness data in an area. The CPU 20 creates a time series graph 150a composed of basic statistical values of the acquired layer thickness data on each inspection date, and outputs the created time series graph 150a on the display unit 1.

  As a result, the time series graph corresponding to the area on which the examiner has paid attention on the tomographic image can be output, so that the examiner can easily follow the layer thickness data corresponding to the position of interest.

  In addition, ROI in a figure means the Region of Interest (region of interest).

  In the case of multi-line scan, cross scan, etc., a plurality of tomographic images having different scanning positions (starting point and end point of scanning) are acquired on each inspection date, and a plurality of tomographic images are displayed on the display unit 1. When an area by the frame K is set in at least one of the tomographic images, the area may be set at a position on another tomographic image having a different scanning position and set as a graph creation position. In this case, on other tomographic images having different scanning positions, the area may be set in an area corresponding to the same distance from the start point as the area set by the frame K.

  The same analysis can be performed on the map data. In this case, the setting of the region is not limited to the OCT image. For example, the analysis value may be obtained by arbitrarily setting the graph creation region on the thickness map.

  In addition, about the said embodiment, it is also possible to express as follows.

  (1) The control unit creates and displays a time-series graph using analysis values at arbitrary positions that can be acquired from a plurality of OCT data photographed on different days.

  (2) In (1), for a plurality of OCT data photographed on different days, image alignment with BaseLine is performed for each of the other data (FollowUp data) based on the first data (BaseLine). As a result of alignment, an arbitrary position set in BaseLine is automatically set in the FollowUp data.

  (3) In (1), two arbitrary points on the OCT data are set, and analysis values obtained between the two points are used.

  (4) In (1), an arbitrary area on the OCT data is set, and an analysis value obtained from the area is used.

  (5) In any one of (1) to (4), regression analysis of time series data is performed using the acquired analysis value, and the slope of the straight line is displayed together with the obtained straight line.

  (6) In any one of (1) to (4), the regression analysis of the time series data is performed using the acquired analysis value, and the p value is obtained from the obtained straight line and displayed.

DESCRIPTION OF SYMBOLS 1 Display part 4 Input part 10 Optical coherence tomography 20 CPU
30 Storage Unit 105 Two-dimensional Image 150a Time Series Graph 170 Measurement Display Area

Claims (8)

An ophthalmic analysis apparatus for obtaining a result of analysis of a tomographic image of an eye to be examined acquired on different examination days by an optical coherence tomography for ophthalmology and outputting statistical information formed from time series data of the analysis result ,
An instruction receiving means for receiving selection instructions from an examiner for selecting a plurality of two-dimensional images to be output as a plurality of two-dimensional images for each examination date in a specific period on the statistical information;
Control means for arranging and outputting the plurality of two-dimensional images selected by the instruction receiving means together with the statistical information;
An ophthalmologic analyzer comprising:   The ophthalmic analysis apparatus according to claim 1, wherein the control unit outputs the specific period in which the two-dimensional image is output on the time series graph so that the specific period can be discriminated. The instruction receiving means receives a change instruction from an examiner for changing the two-dimensional image displayed on the display means,
The ophthalmic analysis apparatus according to claim 1, wherein the control unit changes the two-dimensional image displayed on the display unit in response to a change instruction from the instruction receiving unit. The instruction receiving means receives a selection instruction from an examiner for selecting at least one of the two-dimensional images displayed on the display means as a fixed display image,
Whereas the control means fixes the display of the two-dimensional image selected as the fixed display image,
The ophthalmic analysis apparatus according to claim 3, wherein another two-dimensional image different from the fixed image is changed and displayed in accordance with a change instruction from the instruction receiving unit. The ophthalmic analysis apparatus according to claim 1, wherein the control unit outputs at least one of a captured image and an analysis image as the two-dimensional image.   The ophthalmic analysis apparatus according to claim 5, wherein the control unit outputs at least one of a tomographic image acquired by the ophthalmic optical coherence tomography and a front image acquired on the same day as the tomographic image as the captured image. . The ophthalmic analysis apparatus according to claim 5, wherein the control unit outputs at least one of an analysis map, an analysis chart, and an analysis result table as the analysis image. Executed in an ophthalmic analyzer for obtaining analysis results of tomographic images of the eye to be examined acquired on different days by an optical coherence tomograph for ophthalmology and outputting statistical information formed from time-series data of the analysis results An ophthalmic analysis program,
By being executed by the processor of the ophthalmologic analyzer,
An instruction receiving step for receiving selection instructions from an examiner for selecting a plurality of two-dimensional images to be output as a plurality of two-dimensional images for each examination date in a specific period on the statistical information;
An output step for arranging and outputting the plurality of two-dimensional images selected in the instruction receiving step together with the statistical information to an output destination;
Is executed by the ophthalmologic analysis apparatus.

Images