JP2017086182A - Oct data processing device, and oct data processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an OCT data processing device and an OCT data processing program that enable efficient acquisition of information on arteries/veins with regard to a blood vessel in the ocular fundus.SOLUTION: An OCT data processing device for processing OCT data on an eye to be examined includes calculation means for analyzing OCT data acquired by an OCT optical system. The calculation means acquires information on arteries/veins with respect to a blood vessel based on image information in a blood vessel scan area including the blood vessel of the eye to be examined.SELECTED DRAWING: Figure 6

Description

  The present disclosure relates to an OCT data processing device and an OCT data processing program for processing OCT data of an eye to be examined.

  2. Description of the Related Art Conventionally, a technique for calculating a ratio of an arterial blood vessel diameter to a venous blood vessel diameter (hereinafter referred to as an “arteriovenous diameter ratio”) in the fundus by processing a front image of the fundus oculi imaged by a fundus camera. Are known. For example, the fundus image processing apparatus disclosed in Patent Document 1 determines a blood vessel detected from a front image of the fundus as a artery with a high brightness and a blood vessel, and determines a blood vessel with a low brightness as a vein.

JP 2014-139225 A

  However, there are cases where an artery and a vein cannot be determined well from a front image of the fundus taken by a fundus camera as in a conventional apparatus.

  In view of the conventional problems, it is an object of the present disclosure to provide an OCT data processing device and an OCT data processing program that efficiently acquire arteriovenous information about blood vessels in the fundus.

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

(1) An OCT data processing apparatus for processing OCT data of an eye to be examined, comprising an arithmetic means for analyzing OCT data acquired by an OCT optical system, wherein the arithmetic means includes blood vessel scanning including a blood vessel of the eye to be examined. The arteriovenous information related to the blood vessel is acquired based on image information in the region.
(2) An OCT data processing program that is executed in an OCT data processing apparatus that processes OCT data of an eye to be examined, and that is acquired by an OCT optical system by being executed by a processor of the OCT data processing apparatus. And acquiring the arteriovenous information related to the blood vessel based on image information in a blood vessel scanning region including a blood vessel of the eye to be examined.

It is a schematic block diagram explaining the structure of the OCT data processing apparatus which concerns on a present Example. It is a flowchart which shows the control action of a present Example. It is a figure for demonstrating a blood vessel area | region. It is a figure which shows A scan profile. It is a figure for demonstrating blood vessel analysis. It is a figure which shows the artery and vein reflected in OCT data. It is a figure which shows a fundus front image. It is a figure which shows the artery and vein reflected in OCT data. It is a figure which shows an example of the blood vessel analysis screen. It is a figure for demonstrating the center of a blood vessel, an internal diameter, and an outer diameter.

  The OCT data processing apparatus according to the first embodiment will be briefly described below. The OCT data processing apparatus (for example, the OCT data processing apparatus 1) of the first embodiment processes, for example, OCT data. The OCT data is, for example, tomographic image data acquired by an OCT device (for example, the OCT device 10), three-dimensional tomographic image data, Enface image data, or the like. The tomographic image data is, for example, B-scan image data obtained by arranging OCT data in the A-scan direction (also referred to as depth direction or optical axis direction) in the B-scan direction (horizontal direction or direction horizontal to the fundus). . The three-dimensional tomographic image data is, for example, three-dimensional image data obtained by arranging B scan images in the C scan direction. The Enface image data is, for example, image data when at least part of the three-dimensional OCT data formed by arranging the B scan image data in the C scan direction is viewed from the optical axis direction. Enface may be, for example, a plane horizontal to the fundus or a fundus two-dimensional horizontal tomographic plane.

  The OCT data is distinguished from motion contrast data in that it is fundus reflectance data. The motion contrast data is, for example, data generated based on a plurality of OCT signals acquired at different times at the same acquisition position, and is information that captures the motion of an object.

  The OCT data processing apparatus 1 includes, for example, a calculation unit (for example, CPU 71). The arithmetic unit analyzes, for example, OCT data acquired by the OCT device. For example, the calculation unit may analyze the OCT data and acquire the arteriovenous information regarding the blood vessel region in the OCT data. The luminance information of the OCT data may be used for acquiring the arteriovenous information. In this case, for example, the calculation unit may acquire the arteriovenous information related to the blood vessel based on the image information in the blood vessel scanning region including the blood vessel of the eye to be examined. Thereby, the arteriovenous information of the eye to be examined can be acquired efficiently.

  When the OCT data is acquired, the fundus is scanned in the transverse direction by the optical scanner of the OCT device, and OCT data corresponding to the scanning region on the fundus scanned by the optical scanner is acquired. The blood vessel scanning region may be, for example, a region on OCT data and a data region corresponding to a scanning region including a blood vessel in the scanning region on the fundus. Then, by analyzing the image information in the data region, the arteriovenous information regarding the blood vessel region included in the blood vessel scanning region may be acquired.

  The arteriovenous information may be, for example, arteriovenous information that specifies whether each blood vessel is an artery or a vein. The arteriovenous information may be information relating to either an artery or a vein, and may be, for example, information on only an artery or information on only a vein. The arteriovenous information may be blood vessel distribution information regarding at least one of an artery and a vein.

  Note that the calculation unit may detect a blood vessel wall in the blood vessel scanning region. In this case, for example, the calculation unit may acquire the arteriovenous information related to the blood vessel based on the luminance information of the blood vessel wall. The calculation unit can acquire the arteriovenous information more appropriately by using the blood vessel wall information.

  Note that the calculation unit may compare the luminance values of the blood vessel wall and the hollow portion surrounded by the blood vessel wall in the blood vessel scanning region. In this case, when the luminance value of the blood vessel wall is larger than the luminance value of the hollow portion, the calculation unit acquires arteriovenous information that the blood vessel is an artery, and the luminance value of the blood vessel wall is smaller than the luminance value of the hollow portion. In this case, the arteriovenous information that the blood vessel is a vein may be acquired.

  Note that the calculation unit may acquire the arteriovenous information regarding the plurality of blood vessels by comparing the image information of the OCT data in the plurality of blood vessel scanning regions respectively corresponding to the plurality of blood vessels from the OCT data. Thereby, the calculating part can acquire appropriate arteriovenous information from the relative information of a plurality of blood vessels.

  Note that the calculation unit may compare the luminance values of a plurality of blood vessel scanning regions. In this case, the calculation unit acquires the arteriovenous information that the blood vessel in the blood vessel scanning region having a relatively high luminance value among the plurality of blood vessel scanning regions is an artery, and the luminance value in the plurality of blood vessel scanning regions has a relative luminance value. Alternatively, the arteriovenous information indicating that the blood vessel in the low blood vessel scanning region is a vein may be acquired.

  The arithmetic unit separates the fundus in the OCT data into a plurality of layers, and compares the image information in at least one of the plurality of separated layers between the plurality of blood vessel scanning regions, thereby obtaining a plurality of blood vessels. You may acquire the arteriovenous information regarding. Accordingly, the calculation unit can acquire appropriate arteriovenous information using image information in a layer that is easily affected by the arteriovenous.

  The calculation unit compares the luminance value in at least one of the plurality of layers between the plurality of blood vessel scanning regions, and the blood vessels in the blood vessel scanning region having a relatively high luminance value among the plurality of blood vessel scanning regions. Arteriovenous information indicating that the blood vessel is an artery may be obtained, and the arteriovenous information that the blood vessel in the blood vessel scanning region having a relatively low luminance value among the plurality of blood vessel scanning regions is a vein may be obtained.

  Note that the calculation unit may display the arteriovenous information on a display unit (for example, the display unit 75). For example, the calculation unit may display the arteriovenous information on the front image of the fundus of the eye to be examined. The calculation unit may display the arteriovenous information on the three-dimensional motion contrast image acquired by the OCT optical system.

  Note that the calculation unit may change the arteriovenous information based on an operation signal output in response to an operation on the operation unit (for example, the operation unit 76). Thereby, the examiner can reflect his / her experience in the arteriovenous information.

  Note that the arithmetic unit may execute an OCT data processing program stored in a storage unit (for example, ROM 72, RAM 73, storage unit 74, etc.). The OCT data processing program includes, for example, an acquisition step of analyzing OCT data acquired by an OCT optical system and acquiring arteriovenous information related to blood vessels based on image information in a blood vessel scanning region including a blood vessel of an eye to be examined. Good.

  The OCT data processing apparatus according to the second embodiment will be briefly described below. The OCT data processing apparatus (for example, OCT data processing apparatus 1) of 2nd Embodiment processes the OCT data of the eye to be examined acquired by the OCT device (for example, OCT device 10), for example. The OCT data processing apparatus mainly includes, for example, a control unit (for example, CPU 71) that controls display on a display unit (for example, display unit 75). For example, the control unit displays the A scan profile corresponding to the blood vessel scanning region including the blood vessel of the eye to be examined, together with the OCT data, on the display unit. Thereby, the examiner can confirm the relationship between the OCT data and the A scan profile at the position of the blood vessel of the eye to be examined.

  Note that the control unit may display, for example, a first mark indicating the position in the A-scan direction of the center of the blood vessel or the blood vessel wall in the blood vessel scanning region on the OCT data. Thereby, the control unit can easily present the position of the blood vessel in the A-scan direction in the OCT data.

  The control unit may display, for example, a second mark indicating the position of the blood vessel center or blood vessel wall in the blood vessel scanning region in the A scan direction on the A scan profile. Thereby, the control unit can easily present the position of the blood vessel in the A scan direction in the A scan profile.

  For example, the control unit may change the position of the first mark based on an operation signal output in response to an operation on the operation unit (for example, the operation unit 76). Accordingly, the examiner can input the position of the blood vessel in the A-scan direction in the OCT data based on his / her own experience.

  For example, the control unit may change the position of the first mark or the second mark based on an operation signal output in response to an operation on the operation unit. Accordingly, the examiner can input the position of the blood vessel in the A scan direction in the OCT data or the A scan profile based on his / her own experience.

  The control unit may change one position of the first mark and the second mark and change the other position of the first mark and the second mark. Thus, the examiner can confirm the correspondence of the positional relationship between the first mark and the second mark by moving the first mark and the second mark in conjunction with each other.

  The first mark or the second mark may be a mark indicating at least one of the position of the blood vessel outer diameter in the A scan direction, the position of the blood vessel inner diameter in the A scan direction, and the position of the blood vessel center in the A scan direction. Good.

  For example, the control unit may display the OCT data and the A scan profile in an overlay manner. This makes it easy to confirm the correspondence between the OCT data and the A scan profile.

  For example, the control unit may switch the A scan profile between a luminance profile and a gradient profile. Accordingly, the control unit can present a plurality of information related to the A scan profile, for example.

  The control unit may execute an OCT data processing program stored in a storage unit (for example, ROM 72, RAM 73, storage unit 74, etc.). The OCT data processing program may include, for example, a display step of displaying an A scan profile corresponding to a blood vessel scanning region including a blood vessel of the eye to be examined together with OCT data on a display unit.

<Example>
Hereinafter, the OCT data processing apparatus of a present Example is demonstrated based on drawing. The OCT data processing apparatus 1 (see FIG. 1) processes, for example, OCT data of the eye to be examined acquired by the optical coherence tomography device 10. The OCT data processing apparatus includes a control unit 70, for example. The control unit 70 includes, for example, a general CPU (Central Processing Unit) 71, a ROM 72, a RAM 73, and the like. For example, the ROM 72 stores an OCT data processing program for processing OCT data, various programs for controlling the operation of the OCT device 10, initial values, and the like. For example, the RAM 73 temporarily stores various information.

  As shown in FIG. 1, for example, a storage unit (for example, a non-volatile memory) 74, an operation unit 76, a display unit 75, and the like are communicably connected to the control unit 70. The storage unit 74 is, for example, a non-transitory storage medium that can retain stored contents even when power supply is interrupted. For example, the storage unit 74 may be a hard disk drive, a flash ROM, a removable USB memory, or the like.

  Various operation instructions by the examiner are input to the operation unit 76. The operation unit 76 outputs a signal corresponding to the input operation instruction to the CPU 71. For the operation unit 76, for example, at least one of user interfaces such as a mouse, a joystick, a keyboard, and a touch panel may be used.

  The display unit 75 may be a display mounted on the main body of the apparatus 1 or a display connected to the main body. For example, a display of a personal computer (hereinafter referred to as “PC”) may be used. A plurality of displays may be used in combination. The display unit 75 may be a touch panel. When the display unit 75 is a touch panel, the display unit 75 may also be used as the operation unit 76. The display unit 75 displays, for example, OCT data acquired by the OCT device 10.

  For example, an OCT device 10 is connected to the OCT data processing apparatus 1 of the present embodiment. The connection method may be wireless, wired, or both. Note that the OCT signal processing apparatus 1 may have, for example, an integrated configuration housed in the same casing as the OCT device 10 or a separate configuration. The control unit 70 may acquire OCT data and the like from the connected OCT device 10. Of course, the control unit 70 may not be connected to the OCT device 10. In this case, the control unit 70 may acquire OCT data captured by the OCT device 10 via the storage medium.

<OCT device>
Hereinafter, an outline of the OCT device 10 will be described with reference to FIG. For example, the OCT device 10 captures a tomographic image of the fundus oculi Ef of the subject eye E, for example. The OCT device 10 includes an interference optical system (OCT optical system) 100, a front observation optical system 200, and a fixation target projection unit 300.

<OCT optical system>
The OCT optical system 100 has an apparatus configuration of a so-called ophthalmic optical tomography (OCT: Optical coherence tomography), and takes a tomographic image of the eye E and the like. The OCT optical system 100 splits the light emitted from the measurement light source 102 into measurement light (sample light) and reference light by a coupler (light splitter) 104. The OCT optical system 100 guides the measurement light to the fundus oculi Ef of the eye E by the measurement optical system 106 and guides the reference light to the reference optical system 110. Thereafter, the detector (light receiving element) 120 receives the interference light obtained by combining the measurement light reflected by the fundus oculi Ef and the reference light.

  The detector 120 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 the detector 120, and a depth profile (A scan signal) in a predetermined range is obtained by Fourier transform on the spectral intensity data. Examples include Spectral-domain OCT (SD-OCT) and Swept-source OCT (SS-OCT). Moreover, Time-domain OCT (TD-OCT) may be used.

  The scanning unit 108 scans light emitted from the measurement light source on the fundus of the eye to be examined. For example, the scanning unit 108 scans the measurement light two-dimensionally (XY direction (transverse direction)) on the fundus. The scanning unit 108 is disposed at a position substantially conjugate with the pupil. The scanning unit 108 may be, for example, the driving unit 50 and the two galvanometer mirrors 51 and 52. In this case, the reflection angle of the galvanometer mirrors 51 and 52 is adjusted by the drive unit 50.

  Thereby, the reflection (advance) direction of the light beam emitted from the light source 102 is changed and scanned in an arbitrary direction on the fundus. Therefore, the imaging position on the fundus oculi Ef is changed. The scanning unit 108 may be configured to deflect light. For example, in addition to a reflective mirror (galvano mirror, polygon mirror, resonant scanner), an acousto-optic device (AOM) that changes the traveling (deflection) direction of light is used.

  The reference optical system 110 generates reference light that is combined with reflected light acquired by reflection of measurement light at the fundus oculi Ef. The reference optical system 110 may be a Michelson type or a Mach-Zehnder type. The reference optical system 110 is formed by, for example, a reflection optical system (for example, a reference mirror), and reflects light from the coupler 104 back to the coupler 104 by being reflected by the reflection optical system and guides it to the detector 120. As another example, the reference optical system 110 is formed by a transmission optical system (for example, an optical fiber), and guides the light from the coupler 104 to the detector 120 by transmitting the light without returning.

  The reference optical system 110 has a configuration in which the optical path length difference between the measurement light and the reference light is changed by moving an optical member in the reference optical path. For example, the reference mirror is moved in the optical axis direction. The configuration for changing the optical path length difference may be arranged in the measurement optical path of the measurement optical system 106.

<Front observation optical system>
The front observation optical system (front image observation device) 200 is provided to obtain a front image of the fundus oculi Ef. The observation optical system 200, for example, scans measurement light (for example, infrared light) emitted from a light source two-dimensionally on the fundus and reflects the fundus via a confocal aperture disposed at a position substantially conjugate with the fundus. It may be a so-called ophthalmic scanning laser ophthalmoscope (SLO) that receives light.

  Note that the configuration of the observation optical system 200 may be a so-called fundus camera type configuration. The OCT optical system 100 may also serve as the observation optical system 200. That is, the front image may be acquired using data forming a tomographic image obtained two-dimensionally (for example, an integrated image in the depth direction of the three-dimensional tomographic image, at each XY position). Of the spectrum data, luminance data at each XY position in a certain depth direction, retina surface layer image, etc.).

<Fixed target optical system>
For example, the fixation target optical system 300 fixes the eye E to be examined. For example, the fixation target optical system 300 includes a fixation target to be presented to the eye E. For example, the fixation target optical system 300 may include a visible light source that emits visible light. Note that the fixation target optical system 300 may guide the line-of-sight direction of the eye E in an arbitrary direction by moving the position of the fixation target.

<Control action>
The control operation of the apparatus having the above configuration will be described. After instructing the subject to gaze at the fixation target of the fixation target optical system 300, the examiner views the anterior ocular segment observation image captured by the anterior ocular segment observation camera (not shown) on the display unit 75. However, the alignment operation is performed by the operation unit so that the measurement optical axis comes to the center of the pupil of the eye to be examined.

  Then, the CPU 71 controls driving of the scanning unit 108, scans the measurement light on the fundus, acquires a light reception signal corresponding to each scanning region from the detector 120, and acquires OCT data. For example, the CPU 71 acquires OCT data by the OCT optical system 100 and controls the observation optical system 200 to acquire a fundus front image. Then, the control unit 70 acquires OCT data by the OCT optical system 100 and a fundus front image by the observation optical system 200 as needed.

<Image analysis>
Next, the CPU 71 analyzes the OCT data stored in the storage unit 74. Hereinafter, the analysis method of the present embodiment will be described based on the flowchart of FIG. First, the CPU 71 detects a blood vessel region from the OCT data (step S1).

<Vessel region detection: S1>
Hereinafter, a blood vessel region detection method will be described. For example, the CPU 71 detects the blood vessel region Bv based on the luminance value of the OCT data (for example, a tomographic image) 80 (see FIG. 3). The blood vessel region Bv is, for example, a region where blood vessels exist. For example, the CPU 71 may detect a region having a relatively low luminance value as a candidate for the blood vessel scanning region As in which the blood vessel Bv exists in the same portion (same layer) of the OCT data 80. For example, the CPU 71 obtains the average μ and the standard deviation σ of the luminance value sum I _sum of the top 10 pixels of the RPE, and detects an A scan in which the luminance value sum I _sum is expressed by the following equation (1).

  For example, the CPU 71 detects a region having a width of 4 pixels or more among the candidates for the blood vessel scanning region As as the blood vessel scanning region As. This technique is based on the result that OCT data acquired by the OCT device has a lower luminance value under the blood vessel due to signal intensity attenuation. This is because it is difficult for measurement light to reach the region under the blood vessel or to receive reflected light from the lower blood vessel due to the influence of the blood vessel.

  Note that the CPU 71 may divide the OCT data 80 into a plurality of regions with respect to the direction of the fundus surface and perform the calculation of Expression (1) for each of the divided regions. For example, as shown in FIG. 3, the OCT data 80 may be divided into four regions K1 to K4, and the blood vessel scanning region As may be obtained using Equation (1). As a result, the influence on the analysis result caused by the difference in the depth of the fundus can be suppressed.

<Body diameter detection: S2>
Subsequently, the CPU 71 obtains the center, inner diameter, and outer diameter of the blood vessel for each blood vessel scanning region As obtained in step S1. In the blood vessel scanning region As, the blood vessel wall of the blood vessel region Bv has high luminance, and the blood vessel center has low luminance. Therefore, for example, the CPU 71 sets the most convex point J in the A-scan luminance value profile (see FIG. 4A) at the center of the blood vessel as the center of the blood vessel. For example, the CPU 71 obtains the maximum luminance I _u of the upper 20 pixels and the maximum luminance I _d of the lower 20 pixels between the ILM (inner boundary film) and IPL / INL (inner mesh layer / inner granule layer). Then, the following equation (2) is calculated from the luminance value I _x of the attention point, and the point having the largest value is set as the center of the blood vessel.

<Inner and outer diameter>
Next, the CPU 71 obtains an inner diameter and an outer diameter on the upper side and the lower side of the blood vessel center, respectively. In the vicinity of the blood vessel wall bright spot, the luminance value changes drastically, so the change in the differential value in the vertical direction is large. Therefore, the CPU 71 detects a blood vessel wall based on, for example, a change in the differential value. For example, in the vertical differential profile of A scan passing through the blood vessel center (see FIG. 4B), the CPU 71 continues in each of the upper region Af and the lower region Ar indicating the blood vessel center. An upward convex point p and a downward convex point q are obtained. Then, the CPU 71 sets the point having the largest difference between the differential value I ′ _p at the point _p and the differential value I ′ _{q at} the point q (the following expression (3)) as the blood vessel wall bright spot, and sets the point p to the outside of the blood vessel wall. The diameter side, the point q, is the inner diameter side of the blood vessel wall (see FIG. 5). The CPU 71 obtains the inner and outer diameters from the points p and q in the region Af and the positions of the points p and q in the region Ar.

<Determination of arteriovenous: S3>
Subsequently, the CPU 71 determines whether the blood vessel detected in step S1 is an artery or a vein. For example, the CPU 71 determines whether the blood vessel of the eye to be examined is an artery or a vein based on the luminance value of the OCT data. The arterial / vein determination result may be used for, for example, calculation of an arterial vein ratio (hereinafter also referred to as AV ratio) described later.

  For example, as shown in FIG. 6, in the OCT data, the artery is displayed brighter and the vein is displayed darker than the artery. Therefore, the CPU 71 determines an artery and a vein based on the luminance value of the blood vessel. For example, the CPU 71 performs arterial / venous determination using the luminance average of the blood vessel scanning region As in each region of the fundus region TSNIT as shown in FIG. The CPU 71 calculates a luminance average from ILM to IPL / INL of the blood vessel scanning region As in each region of TSNIT, and determines a threshold value that maximizes the interclass variance by the discriminant analysis method. The CPU 71 uses blood vessels with higher luminance than the threshold as arteries and blood vessels with lower luminance as veins.

  As described above, the OCT data processing apparatus according to the present embodiment can determine an artery and a vein based on the OCT data of the eye to be examined. This makes it possible to efficiently determine a blood vessel that is difficult to confirm from a front image taken by a fundus camera or the like. Further, the resolution of the OCT data can be higher than that of the front image in the depth direction (Z direction). Therefore, the blood vessel of the eye to be examined can be detected with higher accuracy. In addition, the center position, inner diameter, outer diameter, and the like of the blood vessel acquired based on the cross-sectional image of the blood vessel are useful for diagnosis of the eye to be examined.

  For example, as shown in FIG. 6, the brightness of the blood vessel wall is detected strongly in the artery on the OCT data. Therefore, the CPU 71 may determine an artery and a vein based on the luminance value of the blood vessel wall. For example, the CPU 71 determines whether or not the luminance value of the blood vessel wall detected in step 2 is greater than or equal to a threshold value. For example, the CPU 71 determines that the blood vessel is a vein when the luminance value of the blood vessel wall is equal to or greater than a threshold value, and if the luminance value of the blood vessel wall in the depth direction is less than the threshold value, the CPU 71 It is determined that

  As shown in FIG. 8, the RPE below the vein on the OCT data appears darker than the RPE below the artery. Therefore, the CPU 71 may determine an artery and a vein based on the luminance value of RPE. For example, the CPU 71 determines that the blood vessel is an artery when the luminance value of the RPE in the blood vessel scanning region As is equal to or greater than a threshold value, and determines that the blood vessel is a vein when the luminance value is less than the threshold value. Good.

<Calculation of OD / ID value and wall thickness>
Subsequently, the CPU 71 calculates a wall thickness (WT: Wall Thickness) using the blood vessel outer diameter (OD) and the blood vessel inner diameter (ID).

Further, the CPU 71 calculates a cross-sectional area (WCSA: Wall Cross Sectional Area) of the blood vessel wall. The WCSA is defined by the following formula, for example.

<Display of blood vessel information>
Next, blood vessel information displayed on the display unit will be described. As shown in FIG. 9, the CPU 71 may display a blood vessel information screen 90 on the display unit 75. The CPU 71 may display, for example, arterial / vein determination results, blood vessel positions, blood vessel analysis results, and the like on the blood vessel information screen 90. In this embodiment, blood vessel information is displayed in the OCT data 80, the fundus front image 85, the A scan profile 91, and the like displayed on the blood vessel information screen 90.

  For example, the CPU 71 may display the blood vessel center, the blood vessel inner diameter, and the blood vessel outer diameter on the blood vessel information screen 90. For example, as shown in FIG. 10, the CPU 71 may display marks indicating the blood vessel center, the blood vessel inner diameter, and the blood vessel outer diameter in the OCT data 80 or the like. For example, FIG. 10 is an enlarged view of a part of the OCT data 80 displayed on the blood vessel information image 90. As shown in FIG. 10, the CPU 71 displays a center mark 81 indicating the center of the blood vessel, an inner diameter line 82 indicating the blood vessel inner diameter ID, and an outer diameter line 83 indicating the outer diameter OD of the blood vessel on the OCT data 80 displayed on the blood vessel information screen 90. It may be displayed. For example, the center mark 81 is displayed at the position of the blood vessel center detected as described above. Further, for example, the blood vessel inner diameter line 82 and the blood vessel outer diameter line 83 are lines extending in the direction (B scan direction) crossing the blood vessel scanning region As, and indicate the position of the inner diameter or outer diameter of the blood vessel in the depth direction. It may be.

  As shown in FIG. 9, the A scan profile 91 may be, for example, a luminance value or luminance gradient profile. Of course, the CPU 71 may switch and display the luminance value and the luminance gradient, or may display them simultaneously. The CPU 71 may display the A-scan profile 91 for the blood vessel on the OCT data selected by the operation unit 76 on the blood vessel information screen 91. Similar to the OCT data 80, the inner diameter line 92 and the outer diameter line 93 of the blood vessel may be displayed on the A scan profile 91 as well. In this case, the inner diameter line 82 and the inner diameter line 92, and the outer diameter line 83 and the outer diameter line 93 are displayed at corresponding positions. Thereby, it is possible to confirm whether the position of the inner diameter or outer diameter of the blood vessel is appropriately set based on the graph of the A scan profile 91. Further, the CPU 71 may display a mark indicating the position of the blood vessel layer on the A scan profile 91. For example, as illustrated in FIG. 9, the CPU 71 may display an ILM line 94 indicating the position of the ILM, an RPE line 95 indicating the position of the RPE, and the like on the A scan profile 91.

  Note that the examiner may be able to manually edit the result automatically analyzed by the CPU 71. For example, the analysis result may be edited by the examiner operating the operation unit 76. For example, the examiner may select a blood vessel to be edited. For example, the CPU 71 may shift to the blood vessel editing mode based on the operation signal output from the operation unit 76. The examiner may reset the blood vessel inner diameter ID and the blood vessel outer diameter OD with the operation unit 76 in the blood vessel editing mode. For example, the examiner may freely move the center mark 81, the inner diameter line 82, and the inner diameter line 83 on the OCT data 80. For example, when the operation unit 76 is a computer mouse, the examiner may move any of the center mark 81, the inner diameter line 82, and the outer diameter line 83 on the OCT data 80 by dragging the mouse. Similarly, the CPU 71 may move the inner diameter line 92 and the outer diameter line 93 of the A scan profile based on an operation signal from the operation unit 76.

  When the CPU 71 changes the position of the inner diameter and outer diameter of the OCT data 80 based on the operation signal from the operation unit 76, the CPU 71 sets the inner diameter line 92 and the outer diameter line 93 displayed in the A scan profile. The position may be changed. Of course, when the position of the inner diameter line 92 or the outer diameter line 93 of the A scan profile 91 is moved, the CPU 71 may also change the positions of the inner diameter line 82 and the outer diameter line 83 of the OCT data 80. Thus, the examiner can correct the position of the inner diameter or the outer diameter while confirming both the OCT data 80 and the A scan profile 91. For example, the examiner can adjust the position of the mark sensuously by using the OCT data 80, and can adjust the position of the mark numerically in the A scan profile 91.

<Addition of blood vessel area>
Note that the blood vessel region Bv may be additionally registered manually by the examiner. For example, the examiner operates the operation unit 76 to select the position of the blood vessel center in the OCT data 80. Thereafter, in the same manner as described above, the inner diameter and outer diameter positions of the blood vessel wall may be set by operating the operation unit 76. For example, the CPU 71 may display a mark on the OCT data 80 based on the positions of the center, the inner diameter, and the outer diameter of the selected blood vessel.

<Display of arteriovenous information>
For example, the CPU 71 may display an arterial / venous determination result. For example, as shown in FIG. 9, the CPU 71 may display on the OCT data 80 a label that can identify an artery / vein for each detected blood vessel. For example, a red label Lr may be displayed on the artery, and a blue label Lb may be displayed on the vein. As shown in FIG. 9, the CPU 71 may display the blood vessel number Nm counted from the ear side on the label.

<Editing arteriovenous information>
The arterial / venous label may be manually changed by the examiner. For example, the examiner operates the operation unit 76 to select the corresponding blood vessel region Bv. Then, after entering the blood vessel editing mode, “artery”, “vein”, “no designation”, etc. may be designated in the context menu. Further, the CPU 71 may delete the blood vessel region Bv when the “delete” button is pressed.

  As shown in FIG. 9, the CPU 71 displays on the fundus front image 85 acquired by the front observation optical system 200 a label that can identify the blood vessel position and the artery / vein determined by the information from the OCT data 80. May be. This facilitates confirmation of the positional relationship between the artery and vein in the fundus front image 85.

  The CPU 71 may display the OCT data 80 and the A scan profile 91 in an overlay display. Thus, the examiner can edit the center, inner diameter, outer diameter position, etc. of the blood vessel region Bv while confirming both the OCT data 80 and the profile 91. Further, the examiner can easily confirm the correspondence between the OCT data 80 and the A scan profile 91.

  Note that the CPU 71 may enlarge and display the detected OCT data 80 of the blood vessel portion. This makes it easier for the examiner to observe the state of the blood vessel shown in the OCT data 80.

  Note that the CPU 71 may calculate the AV ratio. The AV ratio is, for example, an arterial vein ratio. For example, the CPU 71 may obtain the thickness of the blood vessel wall for each of the artery and the vein and obtain the ratio of the thickness of the blood vessel wall between the artery and the vein. Thereby, the CPU 71 can present information useful for diagnosis of the state of the blood vessel. Further, the CPU 71 may obtain the size ratio between the artery and the vein.

  The CPU 71 may calculate the circularity of the eye E from the blood vessel information acquired from the OCT data 80. For example, the ratio of the horizontal width to the vertical width of the blood vessel region Bv may be calculated. Thereby, the CPU 71 can present information for diagnosing whether or not the shape of the blood vessel is normal.

  The CPU 71 may store the blood vessel analysis information and display it side by side with imaging data of another day of the same patient. This makes it easier for the examiner to compare information such as the depth, size, wall thickness, etc. of the subject's blood vessels with past values.

  Note that the CPU 71 may acquire a motion contrast image of the eye to be examined. The motion contrast image is acquired from, for example, an OCT signal obtained by scanning the same position on the fundus multiple times by the OCT optical system 100. The motion contrast is information that captures the movement of an object, for example. For example, the motion contrast of the eye to be examined is information that captures blood flow flowing through the fundus of the eye to be examined. Therefore, the OCT data processing apparatus 1 may use, for example, information on an artery or vein determined by the OCT data 80 in the motion contrast image of the eye to be examined. For example, a label or the like for identifying whether the blood vessel path shown in the motion contrast image is an artery or a vein may be displayed on the display unit 75.

  Note that the CPU 71 may substantially determine whether the blood vessel is an artery or a vein by extracting one of the artery or vein for the blood vessel of the OCT data.

  In the above embodiment, as shown in the flowchart of FIG. 2, the blood vessel diameter is calculated and the artery and vein are determined. However, the determination of the artery and vein may be performed without calculating the blood vessel diameter.

DESCRIPTION OF SYMBOLS 1 OCT data processing apparatus 10 OCT device 100 OCT optical system 70 Control part 71 CPU
72 ROM
73 RAM
74 Storage Unit 75 Display Unit 76 Operation Unit

Claims (12)

An OCT data processing apparatus for processing OCT data of an eye to be examined,
Computation means for analyzing OCT data acquired by the OCT optical system,
The OCT data processing apparatus characterized in that the arithmetic means acquires arteriovenous information related to the blood vessel based on image information in a blood vessel scanning region including a blood vessel of the eye to be examined.   The OCT data processing apparatus according to claim 1, wherein the calculation unit detects a blood vessel wall in the blood vessel scanning region, and acquires arteriovenous information related to the blood vessel based on luminance information of the blood vessel wall.   In the blood vessel scanning region, the calculation means compares the luminance values of the blood vessel wall and the hollow portion surrounded by the blood vessel wall, and when the luminance value of the blood vessel wall is larger than the luminance value of the hollow portion. The arteriovenous information that the blood vessel is an artery is acquired, and the arteriovenous information that the blood vessel is a vein is acquired when the luminance value of the blood vessel wall is smaller than the luminance value of the hollow portion. The OCT data processing apparatus according to claim 2.   The computing means identifies a plurality of blood vessel scanning regions respectively corresponding to a plurality of blood vessels from the OCT data, and compares the image information of the OCT data in the identified plurality of blood vessel scanning regions, thereby relating to the plurality of blood vessels. The OCT data processing apparatus according to claim 1, wherein the arteriovenous information is acquired.   The arithmetic means compares the luminance values of the plurality of blood vessel scanning regions, and acquires the arteriovenous information that a blood vessel in a blood vessel scanning region having a relatively high luminance value among the plurality of blood vessel scanning regions is an artery. 5. The OCT data processing apparatus according to claim 4, wherein the arteriovenous information that a blood vessel in a blood vessel scanning region having a relatively low luminance value among the plurality of blood vessel scanning regions is a vein is acquired.   The computing means separates the fundus in the OCT data into a plurality of layers, and compares the image information in at least one of the separated layers among the plurality of blood vessel scanning regions, thereby The OCT data processing apparatus according to any one of claims 1 to 5, wherein arteriovenous information relating to a plurality of blood vessels is acquired.   The arithmetic means compares a luminance value in at least one of the plurality of layers between the plurality of blood vessel scanning regions, and a blood vessel scanning region having a relatively high luminance value among the plurality of blood vessel scanning regions. The arteriovenous information that the blood vessel in the blood vessel is an artery is acquired, and the arteriovenous information that the blood vessel in the blood vessel scanning region having a relatively low luminance value among the plurality of blood vessel scanning regions is a vein is acquired. The OCT data processing apparatus according to claim 6.   The OCT data processing apparatus according to claim 1, wherein the arithmetic unit displays the arteriovenous information on a display unit.   9. The OCT data processing apparatus according to claim 8, wherein the calculation means displays the arteriovenous information on a front image of the fundus of the eye to be examined.   9. The OCT data processing apparatus according to claim 8, wherein the arithmetic means displays the arteriovenous information on a three-dimensional motion contrast image acquired by the OCT optical system.   The OCT data processing apparatus according to claim 1, wherein the calculation unit changes the arteriovenous information based on an operation signal output in response to an operation on the operation unit. An OCT data processing program executed in an OCT data processing apparatus that processes OCT data of an eye to be examined,
By being executed by the processor of the OCT data processing device,
An analysis step of analyzing OCT data acquired by an OCT optical system, and acquiring arteriovenous information related to the blood vessel based on image information in a blood vessel scanning region including a blood vessel of the eye to be examined;
Is executed by the OCT data processing apparatus.