JP2017153826A - Ophthalmic image processing apparatus and ophthalmic image processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To allow a desired report to be output smoothly.SOLUTION: The invention relates to an ophthalmic image processing apparatus for processing image data of a subject eye acquired by an ophthalmic examination apparatus, the ophthalmic image processing apparatus comprising: image processing means for processing image data of a subject eye acquired by the ophthalmic examination apparatus to create a report containing the image data; and setting means for setting an examination date for image data to be output as the report. The image processing means obtains from a storage unit image data on the examination date set by the setting means or image data in a given period with the examination date as a reference, and creates and outputs a report based on the obtained image data.SELECTED DRAWING: Figure 7

Description

  The present disclosure relates to an ophthalmic image processing apparatus and an ophthalmic image processing program that process image data acquired by an ophthalmic examination apparatus.

  A technique for processing image data of an eye to be examined acquired by an ophthalmic examination apparatus and creating a report including the image data is known (see, for example, Patent Document 1).

JP 2014-018251 A

    However, in the above background art, when the examiner tries to create a report corresponding to the image data of the desired inspection date, the examiner checks the image data of the desired inspection date while checking the inspection date of each image data. Had to be collected and reported.

  It is an object of the present invention to provide an ophthalmic image processing apparatus and an ophthalmic image processing program that can smoothly output a desired report.

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

(1) An ophthalmic image processing apparatus that processes image data of an eye to be examined acquired by an ophthalmic examination apparatus,
Image processing means for processing image data of an eye to be examined acquired by an ophthalmic examination apparatus and creating a report including the image data;
Setting means for setting the inspection date of the image data to be output as the report;
With
The image processing means acquires from the storage unit image data within a fixed period based on the inspection date or inspection date set by the setting means, and creates and outputs a report based on the acquired image data It is characterized by.
(2) An ophthalmic image processing program executed in an ophthalmic image processing apparatus that processes image data of an eye to be examined acquired by an ophthalmic examination apparatus,
By being executed by the processor of the ophthalmic image processing apparatus,
An image processing step of processing the image data of the eye to be examined acquired by the ophthalmic examination apparatus and creating a report including the image data;
A setting step for setting an inspection date of image data to be output as the report;
Is executed by the family image processing device,
In the image processing step, the inspection date set by the setting unit or the image data within a certain period based on the inspection date is acquired from the storage unit, and a report based on the acquired image data is created and output.

  Embodiments of the present invention will be described with reference to the drawings. 1-16 is a figure which concerns on the Example of this embodiment. In addition, the items classified by <> below can be used independently or in association with each other.

<Overview (see Fig. 1)>
The ophthalmic image processing apparatus can process an image acquired by the ophthalmic examination apparatus. The image processing may be performed by an image processing unit (for example, the processor 20). The processor 20 may be, for example, a CPU provided in an ophthalmic examination apparatus in addition to a CPU of a personal computer.

  The instruction receiving unit (for example, the processor 20) has a function of receiving an instruction from the examiner. The instruction receiving unit can receive an operation signal from a user interface (for example, the operation unit 4) such as a touch panel, a mouse, and a keyboard.

  The image processing unit (for example, the processor 20) outputs an image. 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.

  The storage unit (for example, the storage unit 30) may be, for example, a storage unit provided in the main body of the ophthalmic examination apparatus, a storage unit provided in an external server, a storage unit provided in a personal computer, or the like. Good. As the ophthalmic image processing apparatus, a personal computer may be used, or a dedicated apparatus may be used. Note that the ophthalmic examination apparatus may also serve as the ophthalmic image processing apparatus.

  The ophthalmic image processing apparatus and the ophthalmic examination apparatus are connected in a state where signals can be exchanged. For example, an image acquired by the first ophthalmic examination apparatus (for example, the OCT device 10 for ophthalmology), the second The image acquired by the ophthalmic examination apparatus (for example, the visual field examination apparatus 15) is stored in the storage unit.

<Program>
The present apparatus may include a control unit (for example, the processor 20) that controls various control processes and a storage unit that stores an ophthalmic image processing program. The processor 20 can execute processing according to a program. The control unit may also serve as an image processing unit.

<Registration process (see FIG. 2)>
The ophthalmologic image processing apparatus may have a function of superimposing a plurality of image data, and may obtain a registration image that is a superimposed image in which a plurality of image data is superimposed. In the following description, a function for superimposing a plurality of image data is a function for superimposing a plurality of image data, and a registration image that is a superimposed image in which a plurality of image data is superimposed is an image obtained by superimposing a plurality of image data. It can be expressed as a certain registration image.

  In this case, the present apparatus may include an image processing unit (registration function) that displays (superimposes and displays) images acquired by a plurality of ophthalmic examination apparatuses. The image processing unit may create a registration image that is an image obtained by superimposing the first image data and the second image data, and output the created registration image.

  The first image data may be image data acquired by the first ophthalmic examination apparatus. The second image data may be image data acquired by the second ophthalmic examination apparatus. The second ophthalmic examination apparatus may be an ophthalmic examination apparatus different from the first ophthalmic examination apparatus.

  The ophthalmologic image processing apparatus may include a setting unit that sets the image type in the first image data and the second image data constituting the registration image. The image processing unit may create and output a registration image in which the first image data corresponding to the set image type and the second image data are superimposed. The image processing unit may create a registration image based on each setting condition set by the setting unit.

  The setting unit may include an instruction receiving unit that receives an instruction from the examiner, and may perform setting processing based on an instruction signal from the instruction receiving unit. Further, the setting unit may set the image type in accordance with preset setting conditions. In this case, for example, the setting condition may be set according to the specification of each report, and the image type may be set according to the specification of the selected report. The image types that can be set as the image data constituting the registration image may include various image types. According to the image type setting, for example, the registration image desired by the examiner can be obtained. Can be confirmed, and multifaceted confirmation is possible.

<Change registration image settings (see FIG. 3)>
In a state where the registration image is displayed on the display unit, an instruction from the operation unit for changing the setting of the registration image may be received, and the setting of the registration image may be changeable. The image processing unit may create a registration image based on the setting change.

<Set layer order>
In the present apparatus, the order of superimposing the first image data and the second image data may be changeable. For example, the order in which the setting can be changed includes the first registration image in which the second image data is superimposed on the first image data, and the first image data is superimposed on the second image data. Any of the second registration images to be set may be changeable. According to this, the examiner can select the superposition order in consideration of the visibility or the purpose of diagnosis.

  The instruction receiving unit may receive an instruction signal from the operation unit for setting the order of layers on which the first image data and the second image data are superimposed when creating the registration image. The image processing unit may create a registration image based on the order of the selected layers. According to this, the examiner can select a desired overlapping order in consideration of visibility or a diagnostic purpose. Note that when either the first image data or the second image data includes a plurality of image data, an overlapping order of three or more image data may be set.

<Transmission setting>
In this apparatus, when a registration image is created, the transmittance of at least one of the first image data and the second image data may be set and changed. The transmittance may be changeable from 0 to 100%. According to this, in the registration image, an image formed on the back of other image data can be easily confirmed.

  The instruction receiving unit may receive an instruction signal from an operation unit for setting the transmittance of at least one of the first image data and the second image data. The image processing unit may create a registration image based on the selected transmittance. According to this, a registration image set to the transmittance desired by the examiner is obtained. The instruction receiving unit may receive a selection instruction for selecting the transmittance of each image data.

<Setting brightness or contrast>
In this apparatus, when a registration image is created, the brightness or contrast of at least one of the first image data and the second image data may be set and changed. According to this, the visibility of the registration image can be adjusted.

  The instruction receiving unit may receive an instruction signal from the operation unit for setting the brightness or contrast of at least one of the first image data and the second image data. The image processing unit may create a registration image based on the selected brightness or contrast. This makes it possible to set a registration image that is easy for the examiner to see.

<Selection of image data>
In this apparatus, in a state where the registration image is displayed on the display unit, an instruction from the operation unit for selecting image data constituting the registration image is accepted, and the image data constituting the registration image is discarded. It may be selectable. The image processing unit may create a registration image based on a setting condition set by selection.

<Setting of overlapping area (see FIG. 14)>
In this apparatus, when creating a registration image, it may be possible to set a superposition region in which the first image data and the second image data are superimposed. According to this, it is possible to obtain a registration image desired by the examiner, such as improving the visibility regarding the region of interest of the examiner.

  The instruction receiving unit may receive an instruction signal from the operation unit for setting a superposition region where the first image data and the second image data are overlapped. The image processing unit may create a registration image based on the set overlapping region. According to this, a registration image set in the overlap region desired by the examiner is obtained.

  More specifically, an arbitrary area can be set on the registration image, and an image type to be output within the set area can be arbitrarily selected from each image type constituting the registration image. Note that the number of image types output for the set area is not limited to one, and may be plural. In this case, the examiner may set the area, or the overlapping area may be set automatically based on preset setting conditions. In this case, the setting of the overlapping region may be changeable.

  In the above method, as shown in FIG. 14, it may be used for complementing a missing portion in image data, or a collage with a plurality of images may be performed. In the collage in FIG. 14, at least one of a first fundus front image (for example, spontaneous fluorescence image) and a second fundus front image (for example, color fundus image), a map image (for example, an OCT map image), Is displayed in a first display area different from the registration image, and the first fundus front image is displayed alone, and the second display area is different from the registration image. Two fundus front images are displayed alone.

<Creation of feature image (see FIG. 15)>
The image processing unit performs difference processing between the first image data and the second image data in a state where the first image data and the second image data are superimposed (for example, a difference in luminance value or Processing to obtain a ratio) may be performed. The image processing unit may create a difference image based on the difference process and output the difference image. According to this, a characteristic image in which other parts are subtracted is obtained.

  For example, the image processing unit includes a first fundus front image including a new blood vessel (for example, an OCT motion contrast interface image, a fluorescence contrast image using a contrast agent, and the like) and a new blood vessel more than the first fundus front image. A characteristic in which another fundus blood vessel is subtracted from the new blood vessel by performing an image difference with a second fundus front image that is not imaged (for example, an OCT face image, a spontaneous fluorescence image, etc.) An image can be obtained.

  Further, the image processing unit may create a registration image obtained by superimposing the obtained difference image and another image. Thereby, a new registration image desired by the examiner can be obtained. For example, the image processing unit may create a registration image in which a characteristic image obtained by subtracting another fundus blood vessel from the above-described new blood vessel and a color fundus front image are superimposed.

<Report (see Figure 4)>
In the present apparatus, a report including a registration image (for example, a custom report) may be created. The report including the registration image may be a report including only one or a plurality of registration images, or a report including another image acquired by the ophthalmic examination apparatus in addition to the one or more registration images. It may be. By displaying the registration image and other images acquired by the ophthalmic examination apparatus in an integrated manner, an integrated report is created, and the examiner can make an effective diagnosis using the registration image. It becomes possible. In this case, other image types may be settable.

<Overlay of map images (see FIG. 5)>
The image processing unit includes, as first image data, first map image data that is a map image of the eye to be examined acquired by the first ophthalmic examination apparatus, and an eye of the eye to be examined obtained by the first ophthalmic examination apparatus. The first front image data that is the first front image data that is the front image and that is associated with the first map image data may be acquired from the storage unit.

  The image processing unit uses, as second image data, second map image data that is a map image of the eye to be examined acquired by the second ophthalmic examination apparatus, and the eye of the eye to be examined obtained by the second ophthalmic examination apparatus. You may acquire the 2nd front image data which is a front image from a memory | storage part.

  The image processing unit may create a registration image obtained by superimposing the first map image data, the first front image data, the second map image data, and the second front image data ( (See FIG. 5).

  In this case, the setting of the image type in at least one of the first map image data and the second map image data may be changeable. In addition, the image processing unit performs a positioning process between the first front image data and the second front image data, so that a position between the first map image data and the second map image data is obtained. A matching process may be performed.

<OCT map image (or face image) and visual field map image (see FIGS. 5, 10, and 11)>
In the registration according to the present embodiment, the first image data obtained by the first ophthalmic examination apparatus including at least the OCT and the second image obtained by the second ophthalmic examination apparatus including at least the visual field measurement function. This is advantageous when overlaying data.

  The image processing unit includes an OCT two-dimensional image acquired by the first ophthalmic examination apparatus (for example, an analysis map image obtained by analyzing the fundus, an OCT interface image), and an eye to be examined acquired by the second ophthalmic examination apparatus. A registration image in which map images are superimposed may be created.

  For example, the first ophthalmic examination apparatus may be an ophthalmic OCT device including an OCT optical system for capturing a fundus tomographic image and a first imaging optical system for capturing a fundus front image. . The first imaging optical system may be an SLO or a fundus camera. Further, the OCT optical system may be configured to also serve as the first imaging optical system.

  The first image data includes an OCT two-dimensional image (for example, an analysis map image obtained by analyzing the fundus, an OCT interface image), and a first fundus front image acquired by the first imaging optical system. It may be a front image associated with a three-dimensional image.

   For example, the second ophthalmic examination apparatus may be an ophthalmic examination apparatus that includes a visual field measurement optical system for measuring a visual field and a second imaging optical system for imaging a fundus front image. The second image data includes a visual field map image obtained by the visual field measurement optical system, and a second fundus front image acquired by the second imaging optical system, and a fundus front image associated with the map image. There may be.

  In this case, by matching the first fundus front image acquired by the first imaging optical system with the second fundus front image acquired by the second imaging optical system, an OCT two-dimensional image, You may make it perform alignment with a visual field map image. In this case, the magnification shift between the OCT two-dimensional image and the visual field map image is corrected by adjusting the magnification between the first fundus front image and the second fundus front image. Also good.

  Further, inconsistency between images due to a difference in imaging optical system or the like may be corrected by deforming at least one of the fundus front images. In this case, the image processing unit may deform the first fundus front image with respect to the second fundus front image and deform the OCT two-dimensional image with respect to the visual field map image. In this case, since the OCT two-dimensional image is formed continuously, visibility is ensured even if the image is deformed, whereas the visual field map image (for example, the visibility map) is discretely spaced at regular intervals. Is generally displayed, and may be difficult to see due to deformation. Therefore, by deforming the OCT two-dimensional image with respect to the field map image, the visibility of the field map image is maintained, and as a result, the visibility of both map images is ensured.

  Here, the OCT two-dimensional image (analysis map image, OCT interface image, etc.) to be superimposed on the visual field map image can be switched among a plurality of types, so that the relationship between the OCT information of the eye to be examined and the visual field information can be increased. It is possible to confirm from multiple aspects.

<Map image of the fundus front image and visual field (see FIG. 6)>
The registration according to the present embodiment includes at least first image data obtained by a first ophthalmic examination apparatus including a first imaging optical system for capturing a fundus front image, and at least a visual field measurement function. This is advantageous when superimposing the second image data obtained by the ophthalmic examination apparatus.

  The first image data may be a first fundus front image acquired by the first imaging optical system. A plurality of first ophthalmic examination apparatuses may be prepared, and a fundus front image acquired by a different first ophthalmic examination apparatus may be selectable.

  For example, the second ophthalmic examination apparatus may be an ophthalmic examination apparatus that includes a visual field measurement optical system for measuring a visual field and a second imaging optical system for imaging a fundus front image. The second image data includes a visual field map image obtained by the visual field measurement optical system, and a second fundus front image acquired by the second imaging optical system, and a fundus front image associated with the map image. There may be.

  In this case, the first fundus front image acquired by the fundus front imaging optical system is matched with the second fundus front image acquired by the second imaging optical system, thereby aligning the fundus front images. May be performed. In this case, the magnification between the first fundus front image and the second fundus front image may be adjusted.

  Here, a plurality of first fundus front images (for example, a fundus front image acquired by a fundus camera, a fundus front image acquired by an SLO, and a fundus front image acquired by an OCT) to be superimposed on the view map image are plural. By being able to switch by type, it is possible to confirm the relationship between the fundus front image of the eye to be examined and the visual field information in a multifaceted manner.

<Registration image with third image data (see FIG. 6)>
The image processing unit is a third image which is image data of the eye to be examined acquired by a third ophthalmic examination apparatus (for example, fundus imaging apparatus 17) different from the first ophthalmic examination apparatus and the second ophthalmic examination apparatus. A registration image may be created by superimposing data and first image data that is image data of the eye to be examined acquired by the first ophthalmic examination apparatus.

  In this case, the setting of the image type of the image to be superimposed on the first image data may be changeable between the second image data and the third image data. The first ophthalmic examination apparatus is an ophthalmic OCT device, the second ophthalmic examination apparatus is a visual field inspection apparatus, and the third ophthalmic examination apparatus is a fundus for photographing a fundus front image. It may be a photographing device. The third ophthalmic examination apparatus may be either a fundus camera or an SLO.

<Data output based on examination date (see FIGS. 7 and 13)>
The image processing unit may process the image data of the eye to be examined acquired by the ophthalmic examination apparatus and create a report including the image data. Note that the image processing unit may process the image data of the eye to be examined acquired by the plurality of ophthalmic examination apparatuses, and create a custom report including the image data obtained by the plurality of ophthalmic examination apparatuses.

  The ophthalmologic image processing apparatus may have a function of outputting image data on the basis of the set examination date. With this function, it is possible to easily confirm a plurality of image data related to the examination date that the examiner wants to see.

  For example, the apparatus may include a setting unit that sets an examination date of image data output as a report. The setting unit may be capable of manually setting an inspection date of image data to be output as a report, and includes an instruction receiving unit that receives an instruction signal from an operation unit for setting the inspection date, and based on the instruction signal May be set. The setting unit may set the inspection date according to preset setting conditions. The inspection date setting method includes a method for setting a certain period (for example, weekly, monthly, yearly, etc.).

  The image processing unit may acquire the set inspection date or image data within a certain period based on the inspection date from the storage unit. In this case, when a certain period is set as the examination date setting method, the image processing unit may acquire image data included in the set certain period from the storage unit. The image processing unit may create a report based on the acquired image data.

  The setting date of image data to be output as a report may be changeable. The image processing unit may acquire from the storage unit image data within a certain period based on the inspection date or the inspection date whose setting has been changed.

  The image processing unit may create an examination date list that can be set by the setting unit based on examination date data attached to the image data of the eye to be examined stored in the storage unit. The image processing unit may display the created examination date data so as to be selectable on the display unit. As a result, the inspection date can be set smoothly.

  Note that the image type of image data to be output as a report may be settable. The image processing unit stores image data corresponding to the set image type, which is image data within a certain period based on the set test date or the test date, based on the set test date and the image type. May be obtained from the department. The image processing unit may create a report based on the acquired image data.

<Example>
The storage unit 30 of the ophthalmologic image processing apparatus according to the present embodiment has been acquired by a plurality of ophthalmic examination apparatuses (for example, an ophthalmic OCT device 10, a visual field examination apparatus 15, and a fundus imaging apparatus 17) connected to the apparatus. Image data is stored. Note that the image data is classified for each patient and stored so as to be identifiable for each patient. The stored image data can be browsed using image browsing software, and a report including an analysis result for the stored image data can be created. The image data stored in the storage unit 30 may be captured image data acquired by an ophthalmic examination apparatus or map image data acquired by an ophthalmic examination apparatus. The map image data is obtained, for example, by analyzing a captured image or a measurement result.

  The captured image and the map image obtained based on the captured image may be stored in the storage unit 30 in association with each other. In this case, the processor 20 may separate the captured image and the map image and store them in the storage unit 30 as two images. Thus, the captured image and the map image can be used as independent images, which is advantageous when creating a registration image. For example, when the captured image and the map image are stored in an overlaid state, they are integrated, so it is difficult to adjust the transmittance independently or to temporarily cancel one of the overlaid images. . On the other hand, separate storage is advantageous in adjusting the transmittance independently, and temporarily canceling some image types constituting the registration image.

<Template creation screen>
The type of the image that is the basis of the registration image (the image that forms the registration image) may be set in advance as a template. The template data is stored in the storage unit 30, for example. The template may be created by an examiner on software, or may be prepared in advance as a default setting. Furthermore, new template data may be registered via the communication means.

  FIG. 8 is a diagram showing an example of a screen for creating a report template on software. The processor 20 can create a report template that includes a registration image. The report including the registration image may be a report including only one or a plurality of registration images, or a report including another image acquired by the ophthalmic examination apparatus in addition to the one or more registration images. (See FIG. 4). Examples of other images include a two-dimensional image (for example, a map image, an OCT interface image, an analysis chart image, a front image, etc.) acquired by an ophthalmic OCT device, and a two-dimensional image ( For example, a map image, a front image), a front image acquired by an eye photographing device, and the like can be considered.

  On the template creation screen, the processor 20 may display a plurality of image types in a selectable manner on the display unit and accept a selection instruction from the operation unit 4 for selecting the image type. The plurality of image types may be displayed as a list 100, for example.

  A registration image may be selectable as the selectable image type. A plurality of image types of registration images may be provided, and one type may be selected from the plurality of types. Various patterns are conceivable as the image type pattern of the registration image (details will be described later). In this case, the selection method may be a method of selecting one of image types related to a plurality of types of registration images, or a registration image by selecting a plurality of types of each image that is the basis of the registration image. A method of selecting the image type may be used.

  The registration image may be an image obtained by superimposing images acquired by different ophthalmic examination apparatuses. As an image acquired by different ophthalmic examination apparatuses, for example, an ophthalmic OCT device and other ophthalmic examinations may be used. There can be images acquired by the device, images acquired by visual field inspection devices and other ophthalmic inspection devices. The image serving as the basis of registration may be a captured image, a map image, or the like.

  In the template creation screen, the processor 20 may receive an instruction signal for selecting an image type and display an image corresponding to the selected image type on the report display area 200. In this case, at least one of the registration image and other images may be displayed in the report display area 200 according to the selected image type.

  The processor 20 may add or delete an image type based on an operation signal from the operation unit 4 (for example, click, drag operation, etc.). The processor 20 may change the image displayed in the report display area 200 according to the addition or deletion of the image type. The processor 20 may change the layout (for example, display position or display magnification) of each image displayed in the report display area 200 based on an operation signal from the operation unit 4. When a template is created, an image type may be added to or deleted from a template that includes at least one image type in advance, or an image type may be added to or deleted from a new template. It may be broken.

  When the image type corresponding to the registration image is selected, the processor 20 may display the image 210 including at least one of characters and graphics indicating the type of the registration image in the report display area 200. . As a result, the examiner can easily confirm the type of the registration image. In addition, by displaying characters indicating the type of each image that is the basis of the registration image, the examiner can confirm the type of the registration image reliably and smoothly. When a graphic indicating the type of registration image is displayed, the graphic may be an actual captured image or a graphic image imitating an actual image.

  When a report template is created based on the image type displayed in the report display area 200, the created template is stored in the storage unit 30. The created template can be output as a report.

<Template selection screen>
On the template selection screen (see FIG. 4), a selection instruction from the operation unit 4 for selecting one template from a plurality of templates may be received. The processor 20 may display a plurality of templates 220 as graphics on the display unit 1 and accept a selection instruction from the operation unit 4. In this case, as the plurality of templates 220, a newly created template may be displayed in addition to the default template.

  In this case, the processor 20 may accept a selection instruction from the operation unit 4 for selecting one subject from a plurality of subject information stored in the storage unit 30. When the template is selected, the processor 20 acquires an image corresponding to the image type on the selected template that is an image of the selected subject from the storage unit 30, and based on the acquired image You may create a report.

<Registration screen>
When a registration image is included in the selected template, the processor 20 may display a registration screen (see FIG. 2) for executing registration on the display unit 1. Note that if the registration image is not included, the processor 20 may shift to report generation.

  On the registration screen, the processor 20 may perform alignment processing or superimposition processing (superimposition processing) of images acquired by different ophthalmic examination apparatuses. The processor 20 includes a first image (for example, a captured image A) that is an image acquired by the first ophthalmic examination apparatus and a second image (for example, an image acquired by the second ophthalmic examination apparatus). The captured image B) may be aligned and an overlay process may be performed. Here, the type set in the registration image on the template is applied to the first image type that is the image type of the first image and the second image type that is the image type of the second image. .

<Alignment processing>
In the alignment process, when at least one of the first image and the second image is another image that is not a front image (for example, a map image obtained by OCT or a visual field inspection apparatus), the processor 20 Alignment may be performed using a front image set in advance for the image. For example, in the case of a map image obtained by an ophthalmic examination apparatus, a front image associated in advance may be used. The ophthalmic examination apparatus may have a function of storing the map image and the front image in the storage unit 30 in association with each other. Note that the present invention can also be applied to a case where a front image is included together with other images as an image constituting the registration image.

  When both the first image and the second image are front images (for example, a color fundus front image acquired by a fundus camera and a fluorescent fundus front image acquired by an SLO), the front images are directly displayed. You may align.

  In the alignment process, the processor 20 may display front images (refer to the captured image A and the captured image B) used for alignment on the display unit 1 and / or by front images used for alignment. A registration image (see the result image in FIG. 2) may be displayed on the display unit 1. The front image used for alignment may be used for setting feature points for alignment in addition to confirming the alignment image. The registration image may be used as confirmation of alignment.

  The processor 20 may perform alignment (matching processing) of the front images by image processing. As a specific method of alignment by image processing, various image processing methods (a method using various correlation functions, a method using Fourier transform, a method based on feature point matching) can be used. In the alignment process, at least one of parallel movement, rotational movement, and enlargement / reduction may be performed. Further, inconsistencies between images due to differences in photographing optical systems or the like may be corrected by deforming at least one of the front images.

  The alignment may be executed automatically, may be executed by a semi-auto including manual operation, or may be performed manually. In the case of semi-auto, feature points common to each front image (for example, blood vessel branch points, lesions, etc.) are designated on the screen by the examiner, and the processor 20 performs alignment processing using the designated feature points. May be. In the case of manual operation, the processor 20 may perform alignment by operating the other front image on the screen with respect to one of the front images in accordance with the operation of the examiner. Note that after the alignment result, the alignment may be readjusted semi-automatically or manually.

<Process to superimpose>
When the registration process is completed, the processor 20 uses the registration result to display a registration image (see the result image in FIG. 2) in which at least the first image and the second image are superimposed. 1 may be displayed. Completion of the alignment process may be executed automatically or manually.

  When at least one of the front images for alignment is included as an image constituting the registration image in addition to other images that are not front images, the processor 20 superimposes the other images on the front image. A registration image may be displayed.

  For example, the first image type is the first map image 300 that is a map image obtained by the first ophthalmic examination apparatus (for example, the ophthalmic OCT device 10), and the second image type is the second image type. In the case of the second map image 310 that is a map image obtained by an ophthalmic examination apparatus (for example, the visual field inspection apparatus 15), the processor 20 is a first front face that is a front image associated with the first map image. Alignment is performed between the image 320 and a second front image 330 that is a front image associated with the second map image, and the first map image 300 and the second map image 310 are overlaid. In addition to the alignment display, a registration image obtained by superimposing at least one of the first front image 320 and the second front image 330 may be displayed on the display unit 1 (see FIG. 5). The processor 20 may use the first front image 320 and the second front image 330 for alignment, and display an image obtained by superimposing only the first map image 300 and the second map image 310. .

  The processor 20 may display a registration image obtained by superimposing the front images for alignment. In this case, the superimposed image for alignment may also serve as the registration image.

  The first image type is a first front image that is a front image obtained by a first ophthalmic examination apparatus (for example, a fundus camera), and the second image type is a second ophthalmic examination apparatus. In the case of the second front image that is a front image obtained by (for example, SLO), the processor 20 performs alignment between the first front image and the second front image, and also performs the first front image. A registration image obtained by superimposing the image and the second front image may be displayed on the display unit 1.

<Overlay order>
On the registration screen, the processor 20 may create a registration image based on a preset overlapping order and display the created registration image on the display unit 1.

  With respect to a preset overlapping order, an analysis-related image (for example, a map image) is superimposed on the front image, whereby a registration image in which the analysis result is given priority is obtained. As a result, the correspondence of the analysis results on the front image can be easily confirmed.

  For example, when the first image type is the first map image and the second image type is the second map image, the processor 20 is higher than the first front image and the second front image. Alternatively, a registration image obtained by superimposing the first map image and the second map image may be displayed on the display unit 1.

  Furthermore, the order of superimposing the first front image and the second front image is determined by superimposing the front image with the smaller shooting angle of view above the front image with the larger shooting angle of view. The person can confirm the imaging region in a wide range by the front image having the larger imaging angle of view, and can easily confirm the correspondence between the front image and the map image having the smaller imaging angle in the entire imaging region.

  The order of superimposing the first map image and the second map image is discretely displayed above the two-dimensionally comprehensive map image (for example, OCT map image). By superimposing the map images (for example, the map image of the visual field inspection apparatus), the examiner can confirm the analysis result by the comprehensive map image in a wide range, and also by the discrete map image with respect to the comprehensive map image and the front image. The correspondence of analysis results can be easily confirmed. For example, when the map image of the visual field inspection device displayed discretely is superimposed on the map image of OCT displayed comprehensively, the examiner can confirm the analysis result of OCT in a wide range. At the same time, the correspondence relationship between the analysis result of the OCT and the analysis result of the visual field inspection apparatus with respect to the front image can be easily confirmed. This is because an OCT map image is generally a color map that is two-dimensionally colored in a rectangular area, whereas a map image of a visual field inspection apparatus is limited to a visual field measurement point, a fixed viewpoint, or the like. This is because it is common.

<Change registration image settings>
In the registration screen, the processor 20 receives an instruction signal from the operation unit 4 for changing the setting of the registration image, creates a registration image corresponding to the changed setting, and displays the registration image on the display unit 1. (See FIG. 3).

  When a change is made regarding the setting of the registration image, the processor 20 may change the setting of the registration image set on the template and store it in the storage unit 30. Since the setting of the registration image can be changed, the examiner can change the registration image to a desired one. Further, the examiner can confirm the correspondence between the images in a complex manner from the registration images having different settings by appropriately changing the settings of the registration images, which is advantageous in diagnosis.

  Regarding the setting change, for example, the processor 20 may receive an instruction signal from the operation unit 4 for changing the overlapping order, create a registration image corresponding to the changed order, and display the registration image on the display unit 1. Good. Since the examiner can change the order while viewing the registration image, the examiner can easily change to the registration image desired by the examiner. For example, when one of the first front image and the second front image is a color front image and the other is a fluorescent front image, the front image displayed above has improved visibility. By switching the order between the front image and the fluorescence front image, after confirming the lesion etc. in the upper image, when confirming the correspondence with the lower image with respect to the lesion etc., confirm in both images It can be done easily.

  Regarding the setting change, for example, the processor 20 receives an instruction signal from the operation unit 4 for selecting whether or not an image type is applied to the registration image, and creates a registration image corresponding to the changed image type. May be displayed on the display unit 1.

  In this case, for example, each image type applied to the registration image is displayed on the display unit 1, and the processor 20 receives a switching signal for each image type from the operation unit 4 and displays the registration image on the display unit 1. The image type to be applied may be switched (see the check box in FIG. 3). When one of the image types applied to the registration image is set as “not applicable”, the processor 20 deletes the image related to the image type set as “not applicable” from the registration image on the display unit 1. Also good. On the other hand, the processor 20 may display a registration image based on the image type set as applicable on the display unit 1.

  Since the application to the registration image can be switched with respect to each image type, the registration image desired by the examiner can be obtained and the correspondence between the images can be confirmed more reliably. For example, when the map image in the first ophthalmic examination apparatus is deleted, the correspondence between the map image and the front image in the second ophthalmic examination apparatus can be confirmed more directly.

  Regarding the setting change, for example, the processor 20 receives an instruction signal from the operation unit 4 for changing the transmittance of the image applied to the registration image, and creates a registration image corresponding to the changed transmittance. Then, it may be displayed on the display unit 1.

  In this case, for example, the transmittance of each image type applied to the registration image is displayed on the display unit 1 in a changeable manner, and the processor 20 receives a signal for changing the transmittance from the operation unit 4 and displays it. The transmittance of the image applied to the registration image on the unit 1 may be changed (see the slider in FIG. 3).

  Since the transmittance to the registration image can be changed for each image type, a registration image desired by the examiner can be obtained, and the correspondence between the images can be confirmed more reliably. For example, when the transmittance of an image is changed, the display status between images applied to the registration image is changed, and the relationship between the images is changed. The examiner can acquire an image set to the relationship between the images desired by the examiner by changing the transmittance. For example, when a first map image (for example, a map image of a visual field inspection apparatus) is displayed on a second map image (for example, an OCT map image) and a front image is displayed below the map image, By increasing the transmittance of the second map image, the examiner can easily confirm the correspondence relationship with the front image of the first map image.

<Report display>
When the registration image setting is completed on the registration screen, the processor 20 may create a report including the set registration image. When the template does not include a registration image, the processor 20 may omit the registration screen.

  The processor 20 may display the generated report on the display unit 1, store it in the storage unit 30, output it to the outside, or print it (FIG. 4). reference). Here, since the registration image included in the report is a registration image selected by the examiner from a plurality of types of registration images, the examiner uses the registration image and other images to validate. Diagnosis desired by the person can be made.

<Report creation and output on the basis of inspection date>
In creating and outputting a report, the processor 20 receives an instruction for selecting an examination date from the operation unit 4 and creates a report based on the selected examination date or an image within a certain period based on the examination date. You may do (refer FIG. 7). Note that the range of the fixed period may be set by the examiner. The examination date includes a display form expressed as an examination month.

  Here, by managing images on the inspection date, data on the inspection date desired by the examiner can be easily displayed. It is also possible to perform follow-up observation by changing the inspection date. When a plurality of examination dates are specified at the same time, the processor 20 may output a report in which images with different examination dates are output over time as a follow-up observation report.

  In addition, since the examination date can be selected on the same screen as the report output screen, a report on the examination date desired by the examiner can be easily output and the contents of the report can be easily confirmed. Follow-up observation by changing the inspection date can be performed smoothly. In this case, the processor 20 may update the output content of the report according to the selected examination date.

  Note that the examination date may be selected automatically by the examiner or the examination date may be automatically selected. For example, an examination date in which an abnormality is found in the analysis result may be automatically selected and output as a report.

  7 and 13 are diagrams showing specific examples when outputting a report corresponding to the examination date. The processor 20 may receive an instruction for selecting one template from a plurality of displayed report templates, and may select a template. Note that the template may be created in advance by the examiner. For example, a template composed of scanning patterns (for example, “macular cross” and “macular map”) when a specific imaging region is measured may be created. The created template may be displayed on the image list screen on the display unit 1.

  When the template is selected, the processor 20 may acquire an image corresponding to the image type set as the template from the image of the subject stored in the storage unit 30. The processor 20 may create the inspection date list 500 from the acquired inspection data (see FIG. 7). The created examination date list is displayed on the display unit 1. More specifically, a list of inspection dates suitable for the template may be created from the scan pattern included in the template and the captured image corresponding to the scan pattern stored in the storage unit 30.

When an examination date is selected from the examination date list, the processor 20 acquires an image corresponding to the selected examination date (for example, date, time) from the storage unit 30, and uses the acquired image to generate a report 600. You may create it. When the examination date is changed from the created examination date list after the report is displayed, the processor 20 may acquire an image corresponding to the changed examination date and update the report content.
In this case, an image corresponding to the selected examination date is displayed as a report. Note that, at the time of initial activation, data of the last photographed date (most recent data) may be displayed. These processes are performed by the processor 20 based on an operation signal from the operation unit 4.

<Image type pattern of registration image>
Specific examples of various patterns in the registration image will be described below. Each pattern example described below may be selectable as a plurality of image types in the registration image. The following examples are only examples and, of course, are not limited thereto.

  As a first example of a registration image, for example, an OCT two-dimensional image (for example, an OCT map image, an interface OCT image, etc.) acquired by an ophthalmic OCT device, and a map image acquired by a visual field inspection apparatus And a registration image obtained by superimposing (see FIG. 5).

  As a second example of the registration image, for example, a two-dimensional image (for example, a map image, an OCT interface image, etc.) acquired by an ophthalmic OCT device and another ophthalmic examination apparatus different from the visual field examination apparatus are used. It may be a registration image obtained by superimposing the acquired photographed image or map image.

  As a third example of the registration image, for example, a map image acquired by a visual field inspection device and a registration image obtained by superimposing a captured image or a map image acquired by another ophthalmic inspection device different from the visual field inspection device. It may be a relation image (see FIG. 6).

  Note that the ophthalmic OCT device may be a fundus OCT capable of acquiring a two-dimensional image of the fundus. The eye photographing device may be a fundus photographing device. As a result, a registration image related to the fundus image can be acquired. In addition, a registration image with a map image obtained by the visual field inspection device may be created using a two-dimensional fundus image obtained by the fundus OCT or a fundus image obtained by the fundus imaging apparatus. Note that the present embodiment is not limited to the fundus but can be applied to an image related to the anterior segment or an image related to an eyeball including the anterior segment and the fundus.

<OCT map image>
The OCT map image constituting the registration image may be image data of a so-called analysis map, for example, an image obtained by analyzing OCT data obtained by an OCT optical system provided in an ophthalmic OCT device. Data and may be displayed on the display unit 1 as an analysis map image.

  The OCT map image may be, for example, an analysis map image showing a two-dimensional distribution of measurement results relating to the eye to be examined (for example, the fundus). In this case, for example, a color map that is color-coded according to the measurement value may be used. As the analysis map, for example, a thickness map indicating the layer thickness, a comparison map (normal eye DB map) indicating a comparison result between the layer thickness of the eye to be examined and the layer thickness of the normal eye stored in the normal eye database, It may be a deviation map that shows the deviation between the layer thickness and the layer thickness of the normal eye stored in the normal eye database as a standard deviation. In addition, when calculating | requiring layer thickness, the OCT data is divided | segmented for every layer by the image process (for example, segmentation process) with respect to OCT data, for example, and the thickness of each layer is measured based on the space | interval of a layer boundary.

  The analysis map is not limited to the layer thickness, and may be, for example, a map showing a curvature distribution or a map showing a blood vessel density distribution. The map indicating the blood vessel density distribution may be acquired by analyzing OCT motion contrast data, for example. Further, the analysis map may be a map showing a polarization characteristic distribution obtained by polarization sensitive OCT (PS-OCT). The analysis map may be a map showing a blood flow velocity distribution obtained by Doppler-OCT.

  The processor 20 may selectably display a plurality of image types related to the OCT map image as the image types constituting the registration image (see FIG. 12). For example, the processor 20 may display a thickness map, a normal eye DB map, and a deviation map in a selectable manner. In this case, for each map, a map regarding a different layer region may be selectable. Further, a thickness map, a normal eye DB map, and a deviation map may be acquired from the storage unit 30, a registration image may be created for each map, and each registration image may be displayed on the display unit 1. Thereby, each registration image regarding each map image can be confirmed simultaneously.

  For example, the processor 20 creates a registration image in which an OCT map image related to a specific layer region and a map image acquired by the visual field inspection apparatus are superimposed, thereby allowing the examiner to analyze a specific retinal layer. The correspondence between the results and the field of view can be confirmed.

<OCT face image>
The OCT enhanced image that is the basis of the registration image may be an OCT signal front image generated from an OCT signal obtained by an OCT optical system, or a front image generated from three-dimensional OCT data. A front image generated from an interference signal that is the basis of the OCT data may be used. Note that the three-dimensional OCT data may be acquired by raster scanning.

  The OCT enhanced image that is the basis of the registration image is an OCT motion contrast front image (OCT motion contrast interface image generated from an OCT motion contrast signal obtained by the OCT optical system. Hereinafter, the motion contrast is abbreviated as MC. Or an OCTMC front image generated from three-dimensional OCTMC data. The MC data is acquired based on a plurality of OCT data that are temporally different with respect to the same position. As a calculation method of OCT data for obtaining MC data, for example, a method of calculating an intensity difference or an amplitude difference of complex OCT data, a method of calculating an intensity or amplitude variance or standard deviation of complex OCT data (Speckle variance) ), A method of calculating a phase difference or variance of complex OCT data, a method of calculating a vector difference of complex OCT data, and a method of multiplying the phase difference and vector difference of a complex OCT signal. As one of the calculation methods, see, for example, JP-A-2015-131107. The three-dimensional OCTMC data may be acquired by arranging motion contrast data in different scanning lines. As described above, the motion contrast data is not limited to the phase difference, and an intensity difference, a vector difference, or the like may be acquired.

  The front image generated from the three-dimensional OCT data (or three-dimensional OCTMC data) may be acquired by, for example, imaging the three-dimensional OCT data with respect to at least a partial region in the depth direction. More specifically, the OCT enhanced image may be acquired by calculating 3D OCT data (or 3D OCTMC data) for the entire region in the depth direction. The OCT enhanced image is obtained by converting 3D OCT data (or 3D OCTMC data) into 3D OCT data (or 3D OCTMC data) with respect to a partial region (for example, a specific layer region or a specific depth region) in the depth direction. ) May be obtained. The calculation method may be integration processing or another method (for example, histogram calculation).

  The processor 20 may selectably display a plurality of image types related to the OCT face image as the image types constituting the registration image. For example, the interface image may be classified according to different depth regions (for example, different layer regions with respect to the depth direction), and the interface image classified according to the depth region is displayed in a selectable manner. Also good. Further, an interface image having a different depth area may be acquired from the storage unit 30, a registration image may be created for each interface image, and each registration image may be displayed on the display unit 1. Thereby, it is possible to simultaneously confirm the registrations related to the interface images having different depth regions. Further, it may be selectable between an OCT signal front image and an OCT motion contrast front image.

  For example, the processor 20 creates a registration image by superimposing an OCT interface image related to a specific layer region and a map image acquired by the visual field inspection apparatus, so that the examiner can select a specific retinal layer structure and The correspondence with the visual field can be confirmed. In this case, by setting the registration image of the OCT front image in the specific layer region and the map image of the visual field inspection apparatus, the correspondence between the form information and the visual field in the specific layer can be confirmed.

  In this case, a registration image (see FIG. 10) is created by superimposing an OCT interface image (in FIG. 10, an OCT signal front image) 400 on a specific layer region and a map image acquired by the visual field inspection apparatus. Thus, the examiner can confirm the correspondence between the specific retinal layer structure and the visual field. For example, the examiner can easily confirm the relationship between the defect region and the visual field measurement result by confirming the defect region from the front image regarding the RPE layer.

  Further, by creating a registration image (see FIG. 11) in which the OCTMC front image 410 and the map image acquired by the visual field inspection apparatus are superimposed, the examiner confirms the correspondence between the blood vessel information and the visual field. it can. For example, the examiner can easily confirm the running state of the blood vessel with respect to the FAZ region and the visual field measurement result in the FAZ region in association with each other.

<OCT 2D Image Classification Method>
An OCT two-dimensional image (for example, an OCT map image, an OCT interface image, etc.) constituting a registration image may be classified according to an imaging region, or a plurality of OCT two-dimensional images classified according to an imaging region. One of the images may be selectable as an image type constituting the registration image. For example, an OCT two-dimensional image of the macular and an OCT two-dimensional image of the nipple may be selectable as the image type.

  The OCT two-dimensional image may be an XY image with the X axis as the horizontal axis and the Y axis as the vertical axis, or a YX image with the Y axis as the horizontal axis and the X axis as the vertical axis. The axial relationship may be selectable. Here, the X-axis direction is a lateral direction orthogonal to the depth direction, and the Y-axis direction is defined as a vertical direction orthogonal to the depth direction.

  When the OCT two-dimensional image is a map image, the map image may be classified according to the scanning pattern, or one of a plurality of map images classified according to the scanning pattern may be selectable. For example, the map image is acquired based on the OCT data acquired by the raster scan and the OCT data acquired by the radial scan. Therefore, a map image by raster scan and a map image by radial scan may be selectable as image types constituting the registration image.

  Further, the OCT two-dimensional image may be classified according to the model of the ophthalmic OCT device, and one of a plurality of OCT two-dimensional images classified according to the model is selected as the image type constituting the registration image. It may be possible.

  For example, as an OCT device for ophthalmology, there are an OCT / SLO multifunction device, an OCT / fundus camera multifunction device, and a single OCT device. Even if these two devices can be selected as image types, Good (classification by frontal imaging system). Further, for example, since there are SD-OCT, SS-OCT, and TD-OCT as ophthalmic OCT devices, these at least two devices may be selectable as image types (classification based on OCT principle). . In the case of classification according to the model, classification based on the front imaging system and the OCT principle may be a set.

  As described above, the OCT two-dimensional image is classified according to the imaging region, the vertical / horizontal axis relationship, the scanning pattern, and the imaging device, which is convenient when creating a registration image desired by the examiner. .

  In the example of FIG. 8, the types of OCT two-dimensional images constituting the registration image are classified at least in the imaging region unit (see list 100), and when the imaging region is selected, the map is further displayed. An image type or an OCT enhanced image can be selected (see FIG. 12).

<Front image associated with OCT 2D image>
The front image associated with the OCT two-dimensional image may be an image obtained by an OCT optical system provided in the ophthalmic OCT device or another front imaging optical system provided in the ophthalmic OCT device, You may use for position alignment with the front image acquired by the other ophthalmic examination apparatus. The front image associated with the OCT two-dimensional image may constitute a registration image together with the OCT two-dimensional image.

  Note that a front image to be associated may be selectable between an image obtained by the OCT optical system and an image obtained by the front imaging optical system. The image obtained by the OCT optical system may be any of the above-mentioned interface images. That is, when the OCT two-dimensional image is an interface image, it may be used for alignment with a front image acquired by another ophthalmic examination apparatus.

  The front imaging optical system may be, for example, an SLO optical system or a fundus camera optical system. The front image obtained by the front imaging optical system may be a visible front image photographed by visible light, an infrared front image photographed by infrared light, or a fluorescence front image obtained by fluorescence photography. . The front image may be classified according to the imaging wavelength, and one of a plurality of front images classified according to the imaging wavelength may be selectable.

<Map image of visual field inspection device>
The map image of the visual field inspection apparatus constituting the registration image (hereinafter referred to as the visual field map image) may be image data indicating the analysis result obtained by the visual field inspection, and is displayed on the display unit 1 as the visual field analysis map image. May be.

  The visual field map image may be a visual field analysis map image showing a two-dimensional distribution of visual field measurement results regarding the eye to be examined. The visual field analysis map may be a visual sensitivity map in which measured values (for example, visibility) at a plurality of visual field measurement points are displayed two-dimensionally, or measured values (for example, at multiple visual field measurement points) The color map may be color-coded according to the visibility. In this case, the color map may be a visibility (corresponding to the color of the sensitivity scale) color map complemented between the targets. In addition, the visual field analysis map may be a map relating to fixation examination, for example, a map showing fixation stability obtained from a fixation point distribution in the fovea and a map showing the position of the fixation point. May be. Note that the visual field inspection apparatus may be a microperimeter or a Humphrey perimeter.

  The processor 20 may display a plurality of image types related to the map image of the visual field so as to be selectable as the image types constituting the registration image (see FIG. 16). For example, the processor 20 may display a visibility map, a color map, a map related to a fixation test, and the like so as to be selectable. By selecting the type of the map image of the visual field, the examiner can confirm the OCT analysis result and the visual field analysis result from various angles.

  The front image associated with the map image of the visual field may be an image obtained by a fundus front imaging optical system provided in the visual field inspection apparatus. As the front imaging optical system, for example, a fundus camera optical system or an SLO optical system can be considered. The front image obtained by the front imaging optical system may be a visible front image photographed by visible light, an infrared front image photographed by infrared light, or a fluorescence front image obtained by fluorescence photography. . The front image may be classified according to the imaging wavelength, and one of a plurality of front images classified according to the imaging wavelength may be selectable.

  Note that when creating a report including a registration image obtained by superimposing the OCT two-dimensional image and the map image of the visual field inspection apparatus and another image, the processor 20 corresponds to the imaging region output as the registration image. A report including other images may be created. In this case, such a report may be created in advance as a default template.

  Other images may be, for example, a B-scan OCT image, a three-dimensional OCT image, an analysis chart, an analysis graph, or a map image or an interface image different from the OCT two-dimensional image constituting the registration. The processor 20 may create a report including at least one of the original images of the OCT two-dimensional image constituting the registration image and the front image associated with the OCT two-dimensional image as another image.

<Third ophthalmic examination apparatus different from Ophthalmic OCT device and visual field examination apparatus>
The third ophthalmic examination apparatus (another ophthalmic examination apparatus) may be, for example, an ophthalmic imaging apparatus (for example, fundus imaging apparatus 17) for imaging the eye to be examined (for example, the fundus), and a registration image. As an image type constituting the image, a photographed image acquired by an ophthalmologic photographing apparatus may be selectable. The fundus photographing apparatus may be a single fundus photographing apparatus for photographing a front image such as a fundus camera or SLO. The ophthalmologic photographing apparatus may be stationary or handheld.

  The processor 20 includes a third fundus front image 350 acquired by the fundus imaging device 17, a map image 310 acquired by the visual field inspection device 15, a second front image 330 associated with the map image 310, Registration images may be created by superimposing (see FIG. 6).

  The front image obtained by the eye photographing device may be a visible front image photographed by visible light, an infrared front image photographed by infrared light, or a fluorescence front image obtained by fluorescence photography. The front image may be classified according to the imaging wavelength, and one of a plurality of front images classified according to the imaging wavelength may be selectable.

  As another ophthalmic examination apparatus, for example, an ophthalmic blood flow velocity measuring apparatus (for example, a fundus blood flow measuring apparatus) for measuring the blood flow velocity of the eye to be examined may be used. The blood flow map image acquired by the ophthalmic blood flow velocity measuring device may be selectable. The blood flow map image may be, for example, a blood flow map image showing a two-dimensional distribution of measurement results relating to the blood flow velocity of the eye, or may be a color map color-coded according to measurement values. As an ophthalmic blood flow velocity measuring device, for example, a blood flow velocity measuring device (LSFG: laser speckle flow graph) for measuring a blood flow velocity based on a speckle signal reflected from a blood cell of an eye. (For example, JP 2003-180641 A).

  In this case, by setting a registration image between the blood flow map image and the OCT two-dimensional image, the examiner can confirm the correspondence between the OCT and the blood flow velocity. Further, by setting a registration image between the blood flow map image and the map image of the visual field, the correspondence between the visual field measurement result and the blood flow velocity can be confirmed.

<Transformation example>
In the above description, the registration image is provided in the report template. However, the present invention is not limited to this. In the case of creating a registration image based on images obtained by a plurality of different ophthalmic examination apparatuses. The application of this embodiment is possible.

  In the above description, an example in which a registration image is created based on images obtained by a plurality of different ophthalmic examination apparatuses has been described. However, a composite apparatus having a plurality of functions (for example, an OCT and a visual field examination apparatus). The present embodiment may be applied when a registration image is created between images obtained by a multifunction machine.

It is a block diagram which shows an example of the ophthalmic image processing apparatus which concerns on a present Example. It is a figure which shows an example of the registration screen which concerns on a present Example. It is a figure which shows an example of the setting screen in the registration screen which concerns on a present Example. It is a figure which shows an example of the report which concerns on a present Example. It is a figure which shows an example of the registration image which concerns on a present Example. It is a figure which shows an example of the registration image which concerns on a present Example. It is a figure which shows an example of the screen which outputs the report by the inspection date base which concerns on a present Example. It is a figure which shows an example of a template creation screen. It is a figure which shows an example of the selection screen for selecting one of the reports in a present Example. It is a figure which shows an example of the registration image which concerns on a present Example. It is a figure which shows an example of the registration image which concerns on a present Example. It is a figure which shows an example of the selection screen which selects the OCT two-dimensional image which concerns on a present Example. It is a figure which shows an example of the screen which outputs the image data on an examination date base concerning a present Example. It is a figure which shows an example in the case of setting the superposition | polymerization area | region which concerns on a present Example. It is a figure which shows an example in the case of producing the characteristic image which concerns on a present Example. It is a figure which shows an example of the selection screen which selects the map image of the perimeter based on a present Example.

1 Output section (display section)
4 Operation unit 10 OCT device for ophthalmology (first ophthalmic examination apparatus)
15 Visual field inspection device (second ophthalmic inspection device)
17 Fundus photographing device (third fundus examination device)
20 CPU (processor 20)
30 storage unit

Claims (8)

An ophthalmic image processing apparatus that processes image data of an eye to be examined acquired by an ophthalmic examination apparatus,
Image processing means for processing image data of an eye to be examined acquired by an ophthalmic examination apparatus and creating a report including the image data;
Setting means for setting the inspection date of the image data to be output as the report;
With
The image processing means acquires from the storage unit image data within a fixed period based on the inspection date or inspection date set by the setting means, and creates and outputs a report based on the acquired image data An ophthalmic image processing apparatus characterized by the above. The setting means can change the inspection date of the image data output as the report,
The image processing unit acquires from the storage unit image data within a fixed period based on the inspection date or the inspection date changed by the setting unit, and creates and outputs a report based on the acquired image data The ophthalmic image processing apparatus according to claim 1.   The image processing means processes image data of an eye to be examined acquired by a plurality of ophthalmic examination apparatuses, creates a report including the image data by a plurality of ophthalmic examination apparatuses, and outputs the report. The ophthalmic image processing apparatus of any one of 1-2.   The ophthalmic image processing apparatus according to claim 1, wherein the setting unit can manually set an examination date of image data output as the report.   The image processing unit creates an examination date list that can be set by the setting unit based on examination date data attached to the image data of the eye to be examined stored in the storage unit, and is displayed on the display unit so as to be selectable. The ophthalmic image processing apparatus according to any one of claims 1 to 4. The setting means can further set an image type of image data to be output as the report,
The image processing means is set based on the examination date and the image type set by the setting means and is image data within a certain period based on the examination date or examination date set by the setting means. Obtain image data corresponding to the image type from the storage unit,
The ophthalmic image processing apparatus according to claim 1, wherein a report based on the acquired image data is created and output. The setting means can set the inspection date of the image data output as the report as a fixed period,
The ophthalmic image processing apparatus, wherein the image processing unit acquires image data within a predetermined period set by the setting unit from a storage unit, creates a report based on the acquired image data, and outputs the report. An ophthalmic image processing program executed in an ophthalmic image processing apparatus that processes image data of an eye to be examined acquired by an ophthalmic examination apparatus,
By being executed by the processor of the ophthalmic image processing apparatus,
An image processing step of processing the image data of the eye to be examined acquired by the ophthalmic examination apparatus and creating a report including the image data;
A setting step for setting an inspection date of image data to be output as the report;
Is executed by the family image processing device,
The image processing step acquires from the storage unit image data within a predetermined period based on the inspection date or the inspection date set by the setting unit, and creates and outputs a report based on the acquired image data A featured ophthalmic image processing program.