JP7409793B2 - Optical coherence tomography (OCT) device operating method, OCT data processing device operating method, OCT device, OCT data processing device - Google Patents

Description

The present invention relates to an operating method of an OCT device , an operating method of an OCT data processing device , an OCT device, and an OCT data processing device.

OCT is a technology that can image a light scattering medium at a resolution of micrometer level or lower, and is used for medical imaging, non-destructive testing, and the like. OCT is a technique based on low coherence interferometry and typically utilizes near-infrared light to ensure deep penetration of the light scattering medium into the sample.

Patent Document 1 discloses that in order to efficiently collect OCT data and to collect OCT data from a specific region of a sample accurately and in a short time, optical depth is measured by backscattering or backreflection measurements. A method for processing an obtained OCT data set as a function of the area, the method comprising: analyzing the OCT data set to identify at least a first subset of landmark region data; and arranging the OCT data set based on the landmark region data. However, a method is disclosed for processing at least a second subset of the OCT data set based on a correspondence between the OCT data set and landmark region data.

Patent Document 2 also discloses that in order to monitor disease progression, an OCT survey scan data set is obtained as a function of optical depth by backscatter or backreflection measurements, and this survey scan data set is analyzed. of a survey scan dataset representing at least a portion of a region of diseased tissue associated with the landmark region by identifying the landmark region and assigning a location within the sample or a location relative to a fixed location to an element of the survey scan dataset; A method of registering a region and monitoring changes in a region of diseased tissue at different time points is disclosed.

US Patent No. 7,884,945 US Patent No. 8405834

An object of the present invention is to further improve the efficiency of OCT scanning and OCT data processing.

Some example aspects are an imaging method using optical coherence tomography (OCT), the method comprising: applying an OCT scan targeting a first three-dimensional region of a sample to generate a first three-dimensional data set; and create a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set, and specifying a second three-dimensional region, applying an OCT scan targeting the second three-dimensional region to collect a second three-dimensional data set, and at least a portion of the second three-dimensional data set. Generate image data from.

The OCT imaging method of some example aspects may be combined with any of the following optional aspects: Based on the first two-dimensional map, the three-dimensional image contained in the first three-dimensional region specifying a target area that is a dimensional area, and specifying the second three-dimensional area to include the target area; specifying the second three-dimensional area to include the target area and be included in the first three-dimensional area; designate a second three-dimensional region; create a second two-dimensional map based on each representative intensity value of a plurality of A-scan data included in the second three-dimensional data set; specifying a partial dataset of the second three-dimensional dataset by comparing the map with the second two-dimensional map, and generating the image data from the partial dataset; the comparison includes an image correlation operation; ; the amount of displacement between the first two-dimensional map and the second two-dimensional map is determined by the comparison; the amount of displacement includes at least one of the amount of translational movement and the amount of rotational movement; A target area that is a three-dimensional area included in the first three-dimensional area is specified based on the two-dimensional map of specifying a second three-dimensional region; and, based on the result of the comparison, specifying a portion of the second three-dimensional data set corresponding to the target region as the partial data set; based on the result of the comparison; , determine whether the second three-dimensional data set includes a target data set corresponding to the target area; if it is determined that the second three-dimensional data set includes the target data set, the target data set as the partial dataset; if it is determined that the second 3D dataset does not include the target dataset, reapplying an OCT scan targeting a second 3D region of the sample; collecting a new second three-dimensional data set, and generating image data from at least a portion of the new second three-dimensional data set; the second three-dimensional data set including the target data set; If it is determined that there is not, a new second three-dimensional region of the sample is specified, and an OCT scan is applied targeting the new second three-dimensional region to create the new second three-dimensional data set. if it is determined that the second three-dimensional dataset does not include the target dataset, specifying a new target area that is a three-dimensional area included in the first three-dimensional area, and , specifying the new second three-dimensional area so as to include the new target area; specifying the new second three-dimensional area so as to include the new target area and be included in the first three-dimensional area; specifying a dimensional area; specifying the new second three-dimensional area based on the result of the comparison; specifying the new second three-dimensional area by changing the position of the second three-dimensional area based on the result of the comparison; specifying a second three-dimensional region; the dimensions of the new second three-dimensional region are larger than the dimensions of the second three-dimensional region;

Some example aspects are a method of processing data collected using optical coherence tomography (OCT), the method comprising: 1 3D data set is received, a 1st 2D map is created based on each representative intensity value of a plurality of A-scan data included in the 1st 3D data set, and the 1st 2D map is specifying a second three-dimensional region of the sample based on a map, receiving a second three-dimensional data set collected by an OCT scan targeting the second three-dimensional region; Generating image data from at least a portion of the dataset.

Some example aspects include an optical coherence tomography (OCT) scanner that applies an optical coherence tomography (OCT) scan to a sample and applies the OCT scan targeting a first three-dimensional region of the sample to generate a first three-dimensional data set. a first control unit that controls the OCT scanner to collect a first two-dimensional map, and a first two-dimensional map is created based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set. a map creation section that specifies a second three-dimensional region of the sample based on the first two-dimensional map; and a region specifying section that specifies a second three-dimensional region of the sample based on the first two-dimensional map; an OCT scanner, the OCT scanner comprising: a second controller that controls the OCT scanner to collect two three-dimensional data sets; and an image data generator that generates image data from at least a portion of the second three-dimensional data set. It is a device.

Any of the following optional aspects may be combined with the OCT apparatus of some exemplary aspects: specifying a target area that is a three-dimensional area included in the area, and specifying the second three-dimensional area so as to include the target area; the second three-dimensional region is specified to be included in the three-dimensional region of to create a second two-dimensional map, and the image data generation unit generates a partial data set of the second three-dimensional data set by comparing the first two-dimensional map and the second two-dimensional map. the image data generation unit generates the image data from the partial data set; the comparison includes an image correlation calculation; The area specifying unit determines the amount of displacement between the two-dimensional map; the amount of displacement includes at least one of the amount of translational movement and the amount of rotational movement; specifying a target area that is a three-dimensional area included in the dimensional area; specifying the second three-dimensional area so as to include the target area and included in the first three-dimensional area; The generation unit specifies a portion of the second three-dimensional data set corresponding to the target area as the partial data set based on the result of the comparison; and determine whether the second three-dimensional data set includes a target data set corresponding to the target area; if it is determined that the second three-dimensional data set includes the target data set, the image data The generation unit specifies the target data set as the partial data set; if it is determined that the second three-dimensional data set does not include the target data set, the second control unit specifies the target data set as the partial data set; controlling the OCT scanner to collect a new second three-dimensional data set by reapplying the OCT scan targeting the second three-dimensional region; Generate image data from at least a part of the three-dimensional dataset; if it is determined that the second three-dimensional dataset does not include the target dataset, the area specifying unit generates image data from at least a part of the three-dimensional dataset; specifying a three-dimensional region of controlling a scanner; if it is determined that the second three-dimensional data set does not include the target data set, the area specifying unit selects a new three-dimensional area that is included in the first three-dimensional area; specifying a target area, and specifying the new second three-dimensional area to include the new target area; specifying the new second three-dimensional area to be included in the area; the area specifying unit specifying the new second three-dimensional area based on the result of the comparison; the area specifying unit , specifying the new second three-dimensional area by changing the position of the second three-dimensional area based on the result of the comparison; is larger than the size of the three-dimensional region.

Some example aspects are a method of controlling an optical coherence tomography (OCT) apparatus including an OCT scanner and a processor that applies an optical coherence tomography (OCT) scan to a sample, the method comprising: targeting a first three-dimensional region of the sample; controlling the OCT scanner to apply an OCT scan to collect a first three-dimensional data set, based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set; controlling the processor to create a first two-dimensional map; controlling the processor to specify a second three-dimensional region of the sample based on the first two-dimensional map; controlling the OCT scanner to collect a second three-dimensional data set by applying an OCT scan targeting a three-dimensional region of the object, and generating image data from at least a portion of the second three-dimensional data set. The processor is controlled as follows.

Some example aspects are an apparatus for processing data collected using optical coherence tomography (OCT), the apparatus comprising: a first reception unit that receives one three-dimensional data set; and map creation that creates a first two-dimensional map based on representative intensity values of each of a plurality of A-scan data included in the first three-dimensional data set. a region specifying section for specifying a second three-dimensional region of the sample based on the first two-dimensional map; and a second region specifying section for specifying a second three-dimensional region of the sample based on the first two-dimensional map; It includes a second reception unit that receives a three-dimensional data set, and an image data generation unit that generates image data from at least a portion of the second three-dimensional data set.

Some example aspects are a method of controlling an optical coherence tomography (OCT) data processing device that includes a processor, the method comprises: a first OCT scan collected by a first three-dimensional region of a sample; controlling the processor to accept a three-dimensional data set, and creating a first two-dimensional map based on representative intensity values of each of a plurality of A-scan data included in the first three-dimensional data set. controlling the processor to specify a second three-dimensional region of the sample based on the first two-dimensional map, and targeting the second three-dimensional region for an OCT scan; controlling the processor to accept a second three-dimensional data set collected by the processor, and controlling the processor to generate image data from at least a portion of the second three-dimensional data set.

Some example embodiments are programs that cause a computer to perform the methods of any embodiment.

Some example embodiments are computer readable non-transitory storage media having a program of any embodiment recorded thereon.

According to exemplary embodiments, it is possible to further improve the efficiency of OCT scanning and OCT data processing.

FIG. 1 is a schematic diagram showing the configuration of an ophthalmological device (OCT device) according to an exemplary embodiment. FIG. 1 is a schematic diagram illustrating the configuration of an ophthalmological device according to an exemplary embodiment. It is a schematic diagram for explaining processing performed by an ophthalmologic apparatus according to an exemplary embodiment. It is a schematic diagram for explaining processing performed by an ophthalmologic apparatus according to an exemplary embodiment. It is a schematic diagram for explaining processing performed by an ophthalmologic apparatus according to an exemplary embodiment. It is a schematic diagram for explaining processing performed by an ophthalmologic apparatus according to an exemplary embodiment. 1 is a flowchart depicting operation of an ophthalmological device according to an exemplary embodiment. 1 is a flowchart depicting operation of an ophthalmological device according to an exemplary embodiment. It is a schematic diagram for explaining processing performed by an ophthalmologic apparatus according to an exemplary embodiment. 1 is a flowchart depicting operation of an ophthalmological device according to an exemplary embodiment. It is a schematic diagram for explaining processing performed by an ophthalmologic apparatus according to an exemplary embodiment.

Some example aspects of embodiments are described below. Note that matters disclosed in the documents cited in this specification and matters related to any known technology may be incorporated into the exemplary embodiments.

Some example aspects relate to techniques for processing three-dimensional data sets collected by applying an OCT scan to a three-dimensional region of a sample. Some exemplary aspects may be applied to various processes, including setting an OCT scan application area, registration between OCT images, analysis/measurement/segmentation of OCT images, etc. Contributes to more efficient data processing.

In some exemplary aspects, a "processor" is, for example, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an ASIC (Application Specific Integrated Circuit), a programmable Logical devices (for example, SPLD (Simple Programmable Logic Device) ), CPLD (Complex Programmable Logic Device), and FPGA (Field Programmable Gate Array). A processor provides several examples of realizing a desired function, for example, by reading out and executing a program stored in a storage circuit or storage device.

The type of OCT applicable to some example embodiments is arbitrary, typically swept source OCT or spectral domain OCT, but may be other types. .

Swept source OCT splits light from a wavelength tunable light source into measurement light and reference light, superimposes the return light of the measurement light from the sample on the reference light to generate interference light, and transmits this interference light to the photodetector. This is a method of constructing an image by performing Fourier transformation on the detection data collected according to the wavelength sweep and measurement light scan.

Spectral domain OCT splits light from a low-coherence light source (broadband light source) into a measurement light and a reference light, and superimposes the return light of the measurement light from the sample on the reference light to generate interference light. This is a method of detecting the spectral distribution of spectral distribution using a spectrometer, and constructing an image by performing Fourier transform, etc. on the detected spectral distribution.

That is, swept source OCT is an OCT technique that acquires the spectral distribution of interference light in a time-division manner, and spectral domain OCT is an OCT technique that acquires the spectral distribution of interference light in a space-division manner.

Types other than Fourier domain OCT include time domain OCT, which mechanically and sequentially scans in the axial direction (Z direction), and two-dimensional imaging in the XY plane perpendicular to the Z direction. There are en-face OCT and full field OCT.

The exemplary embodiments described below are used for eye imaging, analysis, measurement, evaluation, etc. in the ophthalmology field. Note that some example aspects may be used in other fields. Examples of other fields include medical departments other than ophthalmology (dermatology, dentistry, surgery, etc.) and industrial fields (non-destructive testing, etc.).

1 and 2 depict the configuration of an OCT device (ophthalmological device) 100 according to one exemplary embodiment. The ophthalmological apparatus 100 provides an imaging method using OCT.

More specifically, the ophthalmological device 100 is configured to apply an OCT scan targeting a first three-dimensional region of the sample (eye) to collect a first three-dimensional data set. Here, the first three-dimensional region is typically set to a sufficiently wide range, for example, the maximum scan range of the ophthalmological apparatus 100 is adopted. Furthermore, considering eye movements, etc., the area to which OCT scanning targeting the first 3D area is actually applied does not have to match the first 3D area, but fixation, tracking, etc. By using this, it is possible to scan an area that substantially matches the first three-dimensional area.

Further, the ophthalmological apparatus 100 is configured to create a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set. Here, the first three-dimensional data set is data before being subjected to imaging processing (for example, Fourier transformation). The first three-dimensional data set typically consists of a plurality of A-scan data arranged two-dimensionally in the XY plane, where each A-scan data is a spectral intensity distribution (e.g., wave number and intensity (distribution data representing the relationship with). Note that by applying Fourier transform or the like to the A-scan data, A-scan image data representing a reflection intensity distribution (backscattered intensity distribution) along the Z direction is generated. The process of creating a two-dimensional map from a three-dimensional data set may include, for example, the process disclosed in Patent No. 6,230,023 (US Patent Application Publication No. 2014/0293289).

Furthermore, the ophthalmological apparatus 100 is configured to specify a second three-dimensional region of the sample based on the first two-dimensional map. Note that the data that can be used for specifying the second three-dimensional area is the first three-dimensional area, the first three-dimensional data set, the first two-dimensional map, or any one of these. It may be generated data or a combination of any two or more of these. Furthermore, the dimensions of the second three-dimensional region may be the same as or different from the dimensions of the first three-dimensional region. In the latter case, the dimensions of the second three-dimensional region are typically set larger than the dimensions of the first three-dimensional region. Furthermore, the orientation of the second three-dimensional area may be the same as or different from the orientation of the first three-dimensional area. Further, the shape of the second three-dimensional region may be the same as or different from the shape of the first three-dimensional region.

Furthermore, the ophthalmological apparatus 100 collects a second three-dimensional data set by applying an OCT scan targeting a second three-dimensional region, and generates image data from at least a portion of the second three-dimensional data set. configured to do so. As in the case of the OCT scan targeting the first three-dimensional region, the region to which the OCT scan targeting the first three-dimensional region is actually applied must match the second three-dimensional region. However, by using fixation, tracking, etc., it is possible to scan an area that almost matches the second three-dimensional area. Hereinafter, such an ophthalmologic apparatus 100 will be described in more detail.

As shown in FIG. 1, ophthalmic device 100 includes a light source 102 (eg, a broadband light source or a wavelength tunable light source) for generating a beam of light. A beam splitter (BS) 104 splits the light beam from the light source 102 into a sample light beam (measurement light) and a reference light beam (reference light). In other words, beam splitter 104 directs a portion of the light beam from light source 102 to sample arm 106 and another portion to reference arm 108 .

Reference arm 108 includes a polarization controller 110 for adjusting the reference light beam (eg, to maximize interference efficiency) and a collimator 112 for outputting the reference light beam as a parallel light beam. The reference light beam output from the collimator 112 is converted into a convergent light beam by a lens 114 and projected onto a reflecting mirror 115 . The reference light beam reflected by reflector 115 returns to beam splitter 104 through reference arm 108. Lens 114 and reflector 115 are movable together, so that the distance from collimator 112 is changed (in other words, the length of the path of the reference light beam is changed).

Sample arm 106 projects a sample light beam onto sample eye 120 via collimator 117, two-dimensional scanner 116, and one or more objective lenses 118. The two-dimensional scanner 116 is, for example, a galvanometer mirror scanner or a MEMS scanner. Return light of the sample light beam projected onto the eye 120 returns to the beam splitter 104 through the sample arm 106. The two-dimensional scanner 116 enables OCT scanning of a three-dimensional region of the eye 120.

The beam splitter 104 superimposes the returned light of the reference light beam and the returned light of the sample light beam to generate an interference light beam. The interference light beam is guided to the detection section 122 and detected. Thereby, the echo time delay of light is measured from the interference spectrum.

The detection unit 122 generates a plurality of output sets based on the combination of the return light of the sample light beam supplied from the sample arm 106 and the return light of the reference light beam supplied from the reference arm 108 (that is, interferogram data). generate. For example, each of the plurality of output sets generated by detector 122 may correspond to light intensities received at different wavelengths output from light source 102. When the two-dimensional scanner 116 sequentially projects a sample light beam at a plurality of XY positions, the detected light intensity is determined by the reflection intensity distribution (backscattering) inside the eye 120 in the depth direction (Z direction) at each XY position. intensity distribution).

In this way a three-dimensional data set is obtained. The three-dimensional data set includes a plurality of A-scan data corresponding to a plurality of XY positions, respectively. Each A-scan data represents the spectral intensity distribution at the corresponding XY position. The three-dimensional data set collected by the detection unit 122 is sent to the processing device 124.

The processing device 124, for example, creates a two-dimensional map based on a three-dimensional data set, specifies an OCT scan application area based on the two-dimensional map, and generates an image from the three-dimensional data set collected from this specified area by OCT scan. and generating data. Processing device 124 includes a processor that operates according to a processing program. A specific example of the processing device 124 will be described later.

The control device 126 controls each part of the ophthalmological apparatus 100. For example, the control device 126 performs various controls for applying the OCT scan to preset regions of the eye 120. Control device 126 includes a processor that operates according to a control program. A specific example of the control device 126 will be described later.

Although not shown, the ophthalmologic apparatus 100 may further include a display device, an operation device, a communication device, and the like.

The processing device 124 and the control device 126 will be further described with reference to FIG. 2. The processing device 124 includes a map creation section 202, an area specification section 204, and an image data generation section 206. Control device 126 includes a scan control section 210.

OCT scanner 220 shown in FIG. 2 applies an OCT scan to a sample (eye 120). The OCT scanner 220 of this embodiment includes, for example, the optical element group shown in FIG. (a collimator 112, a lens 114, a reflecting mirror 115, etc.), and a detection unit 122. In some embodiments, the OCT scanner may have other configurations.

The control device 126 controls each part of the ophthalmological apparatus 100. Among various controls, control related to OCT scanning is executed by the scan control unit 210. The scan control unit 210 of this embodiment is configured to control the OCT scanner 220, for example, control the light source 102, control the two-dimensional scanner 116, control the movement of the lens 114 and the reflecting mirror 115, etc. . Scan control unit 210 includes a processor that operates according to a scan control program.

The processing device 124 performs various data processing (calculation, analysis, measurement, image processing, etc.). The three processes described above, namely, creation of a 2D map based on a 3D data set, designation of an OCT scan application area based on the 2D map, and images from the 3D data set collected from the specified area by OCT scan. Data generation is executed by the map creation unit 202, area specification unit 204, and image data generation unit 206, respectively.

Map creation unit 202 includes a processor that operates according to a map creation program. The area specifying unit 204 includes a processor that operates according to an area specifying program. Image data generation section 206 includes a processor that operates according to an image data generation program.

Three-dimensional data collected from the eye 120 by OCT scanning is input to the map creation unit 202 from the OCT scanner 220 . This OCT scan is performed by the OCT scanner 220 under the control of the scan controller 210, targeting a preset first three-dimensional region of the eye 120. Thereby, a first three-dimensional data set is collected and supplied to the map creation unit 202.

The map creation unit 202 creates a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set. The first three-dimensional data set is data before being subjected to imaging processing (Fourier transform, etc.) by the image data generation unit 206. A-scan data is a spectral intensity distribution.

The process executed by the map creation unit 202 may be based on the method disclosed in the aforementioned Japanese Patent No. 6,230,023. Briefly, this method consists of the steps of applying a high-pass filter to A-scan data representing the spectral intensity distribution corresponding to a specific XY position to extract an amplitude component, and calculating an inverse cumulative distribution function ( determining a single estimated intensity value (representative intensity value) based on the inverse CDF).

More specifically, as described in FIG. 5 and the description thereof of Patent No. 6,230,023, in some aspects the map generator 202 includes the steps of applying high-pass filtering to the A-scan data; A step of downsampling (or truncating) the filtered A-scan data, a step of squaring the downsampled A-scan data (or a step of taking the absolute value), and a step of sorting (or dividing) the results. The method may be configured to perform a step of selecting a place point), a step of performing calculation by the inverse CDF method, and a step of determining a single estimated intensity value (representative intensity value) from the result.

In some other aspects, the map creation unit 202 includes the steps of applying high-pass filtering to the A-scan data, downsampling (or truncating) the filtered A-scan data, and A step of squaring the A-scan data (or taking the absolute value), selecting the maximum percentile value in the result, and determining a single estimated intensity value (representative intensity value) from the selected maximum percentile value. The method may be configured to perform the steps of:

In still some other aspects, the map creation unit 202 includes the steps of applying high-pass filtering to the A-scan data, downsampling (or truncating) the filtered A-scan data, and downsampling the filtered A-scan data. selecting the minimum and maximum percentile values from the A-scan data, squaring the selected minimum and maximum percentile values (or taking the absolute value), and combining them (e.g., calculating an average value or selecting a predetermined percentile value using an inverse CDF method.

For details of the map creation method exemplified above, please refer to the specification of Japanese Patent No. 6230023. Further, the applicable map creation method is not limited to the above example, and any method within the scope of the invention described in Japanese Patent No. 6,230,023 or any variation thereof can be applied.

By applying such a series of steps to each of the plurality of A-scan data included in the first three-dimensional data set, a plurality of representative intensity values corresponding to a plurality of XY positions can be obtained. By mapping the correspondence between the obtained plurality of XY positions and the plurality of representative intensity values, a first two-dimensional map expressing the distribution of the representative intensity values in the XY plane is obtained.

Although we have described the case where the first 2D map is created from the first 3D dataset, similar processing is applied when creating other 2D maps from other 3D datasets. .

The first two-dimensional map created by the map creation unit 202 is input to the area designation unit 204. The area specifying unit 204 specifies a second three-dimensional area of the eye 120 based on the first two-dimensional map.

For example, the area specifying unit 204 analyzes the first two-dimensional map to detect an image at a predetermined location of the eye 120, and then converts the second three-dimensional map so that the detected image is placed at a predetermined position within the scan range. Configured to specify a region. The predetermined locations include, for example, the lesion area, blood vessels, optic disc, macular area, subtissues of the fundus (internal limiting membrane, nerve fiber layer, ganglion cell layer, inner plexiform layer, inner nuclear layer, outer plexiform layer, outer nuclear layer). , external limiting membrane, photoreceptor layer, retinal pigment epithelium layer, Bruch's membrane, choroid, sclera, etc.), corneal subtissues (corneal epithelium, Bowman's membrane, lamina propria, Duhr's layer, Descemet's membrane, corneal endothelium, etc.), iris , the lens, the zonules of Chin, the ciliary body, the vitreous, and other ocular tissues. Any image processing technique can be applied to detect an image at a predetermined location, such as an image classification method, an image detection method, an image recognition method, an image segmentation method, and deep learning. As an example, the region specifying unit 204 analyzes a first two-dimensional map based on a first three-dimensional data set collected by applying an OCT scan to the fundus, detects an image of the optic disc, and detects an image of the optic disc. A second three-dimensional region can be designated such that the optic disc image is centered within the scan range.

In another example, the control device 126 causes a display device (not shown) to display the first two-dimensional map. The user uses an operation device (not shown) to specify a desired area within the displayed first two-dimensional map. The area specifying unit 204 can specify a second three-dimensional area based on the area specified on the displayed first two-dimensional map. For example, the area specifying unit 204 can specify an area specified by the user as the second three-dimensional area. Alternatively, the area specifying unit 204 can specify an area specified by the user as a target area, which will be described later, and can also specify a second three-dimensional area based on this target area.

Note that the data that can be used to specify the second three-dimensional area is not limited to the first two-dimensional map. For example, data generated from the first two-dimensional map, data used in the process preceding the creation of the first two-dimensional map (first three-dimensional region, first three-dimensional data set, etc.), and/or Alternatively, data generated from this data may be referred to for specifying the second three-dimensional area.

Furthermore, the dimensions of the second three-dimensional region may be the same as or different from the dimensions of the first three-dimensional region. For example, the dimensions of the second three-dimensional region may be set larger than the dimensions of the first three-dimensional region. Further, the shape of the second three-dimensional region may be the same as or different from the shape of the first three-dimensional region. Furthermore, the orientation of the second three-dimensional area may be the same as or different from the orientation of the first three-dimensional area.

An example of the process of specifying the second three-dimensional area will be explained. In this example, the first three-dimensional region is typically set to a sufficiently wide range, for example, the maximum scan range by the two-dimensional scanner 116 of the ophthalmological apparatus 100. This allows a wide area of the eye 120 to be referenced in subsequent processing. Hereinafter, the first three-dimensional area (typically, the corresponding XY area) may be referred to as a "base area".

FIG. 3A represents the fundus 300 (image seen from the front). FIG. 3B represents an exemplary base area (first three-dimensional region) 310 set for the fundus 300. The ophthalmological apparatus 100 applies an OCT scan to the fundus 300 targeting the base area 310 to collect a first three-dimensional data set. The map creation unit 202 creates a first two-dimensional map from this first three-dimensional data set.

In this example, the area specifying unit 204 first uses the first two-dimensional map corresponding to the base area 310 to be referred to in subsequent processing and treatment (archiving, analysis, diagnosis, evaluation, research, etc.). A region of the fundus 300 (target region) is specified. The target area is a desired area of the fundus 300 and is a three-dimensional area included in the base area 310. The target area 320 shown in FIG. 3C is set within the base area 310.

As described above, the target area is specified automatically or based on the user's operation. In the latter case, automatic processing (for example, detecting a predetermined region of the fundus 300 and displaying its image or range) may be optionally performed to support the user's operation.

Furthermore, the area specifying unit 204 in this example specifies a second three-dimensional area so as to include the specified target area. For example, a second three-dimensional region is designated to include the target area and be included in the base area. Such a second three-dimensional area may be referred to as an "extended target area." The extended target area 330 shown in FIG. 3D includes the target area 320 and is designated to be included in the base area 310.

The dimensions of the extended target area are any one of a default dimension, a dimension determined based on the target area, a dimension determined based on the base area, and a dimension determined based on the target area and the base area. good. The dimensions of the extended target area are calculated, for example, by multiplying the dimensions of the target area by a predetermined magnification (a magnification greater than 1), or by adding a margin of a predetermined dimension to the dimensions of the target area.

The shape of the expanded target area is any one of a predetermined shape, a shape determined based on the target area, a shape determined based on the base area, and a shape determined based on the target area and the base area. good. For example, the shape of the extended target area is the same as the shape of the target area.

The image data generation unit 206 refines image data based on the data collected by the OCT scanner 220. For example, the image data generation unit 206 forms image data of a tomographic image of the eye 120 based on the output (sampling data, interference signal data) from the OCT scanner 220. This image data generation process includes filter processing, fast Fourier transform (FFT), etc., similar to conventional (swept source or spectral domain) OCT. Through such processing, a reflection intensity profile (reflection intensity profile along the Z direction) in the A line (scanning path of the measurement light beam in the eye 120) corresponding to each XY position is acquired, and this reflection intensity profile is converted into an image. This A-line image data (A-scan image data) is formed by converting the image data into A-line image data.

Furthermore, the image data generation unit 206 forms a plurality of A-scan image data according to the mode of OCT scan (deflection of the measurement light beam, movement of the A-scan position), and arranges these A-scan image data to create a two-dimensional image. Image data and three-dimensional image data can be constructed.

When a plurality of tomographic image data are obtained by raster scanning or the like, the image data generation unit 206 embeds these tomographic image data into a single three-dimensional coordinate system to construct stack data, and performs voxelization processing on this stack data. can be applied to construct voxel data (volume data).

The image data generation unit 206 can render stack data or volume data. The rendering method is arbitrary, and may be, for example, volume rendering, multi-planar reconstruction (MPR), surface rendering, or the like. Furthermore, the image data generation unit 206 can construct a planar image (for example, a front image, an unfazed image) from stack data or volume data. For example, the image data generation unit 206 can construct a projection image by integrating stack data or volume data along each A-line.

In this example, the ophthalmological apparatus 100 collects a second three-dimensional data set by applying an OCT scan targeting a second three-dimensional region (for example, an extended target area) designated by the region specifying unit 204. The image data generation unit 206 generates image data from at least a portion of this second three-dimensional data set. For example, when the second three-dimensional data set corresponding to the extended target area 330 is acquired, the image data generation unit 206 converts the portion corresponding to the target area 320, which is a part of the extended target area 330, into the second three-dimensional data set. Image data can be extracted from the dimensional data set and generated from the extracted partial data set.

The processing device 124 may be capable of performing various data processes in addition to the data processing described above. The processing device 124 can process data acquired using an OCT scan (OCT data). The OCT data is, for example, interference signal data (eg, at least part of a three-dimensional data set), a reflection intensity profile, or image data.

The processing device 124 may be capable of processing data other than OCT data. For example, if the ophthalmological apparatus 100 has a data acquisition device other than the OCT scanner 220, the processing device 124 can process the data acquired by this data acquisition unit. The ophthalmological device employed as the data acquisition unit may be, for example, an ophthalmological imaging device (ophthalmological imaging device) such as a fundus camera, a scanning laser ophthalmoscope (SLO), a surgical microscope, or a slit lamp microscope. Other examples include ophthalmological measurement devices such as refractometers, keratometers, tonometers, axial length measurement devices, specular microscopes, wavefront analyzers, and perimetry. Furthermore, if the OCT device is any medical device (that is, if the OCT device is a device used in any medical department), the medical device employed as the data acquisition unit may be, for example, any medical imaging device. and/or any medical testing device. Furthermore, for OCT apparatuses used in fields other than medical care, a data acquisition unit suitable for the field can be adopted.

Several examples of the operation of the ophthalmologic apparatus 100 will be described.

A first example of operation will be described with reference to FIG. 4. In this example, first, the scan control unit 210 controls the OCT scanner 220 to collect a first three-dimensional data set by applying an OCT scan to the eye 120 targeting a first three-dimensional region specified in advance. control (S1). For example, the scan controller 210 controls the OCT scanner 220 to apply an OCT scan to the fundus 300 targeting a pre-designated base area 310 to collect a first three-dimensional data set.

Next, the map creation unit 202 creates a first two-dimensional map based on the representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set collected in step S1 (S2 ). For example, the map creation unit 202 creates a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set corresponding to the base area 310.

Next, the area specifying unit 204 specifies a second three-dimensional area of the eye 120 based at least on the first two-dimensional map created in step S2 (S3). For example, the region specifying unit 204 specifies the target area 320 and extended target area 330 of the fundus oculi 300 based at least on the first two-dimensional map corresponding to the base area 310.

Next, the scan control unit 210 controls the OCT scanner 220 to collect a second three-dimensional data set by applying an OCT scan targeting the second three-dimensional region specified in step S3 (S4 ). For example, the scan controller 210 controls the OCT scanner 220 to apply an OCT scan targeting the extended target area 330 to collect the second three-dimensional data set.

Next, the image data generation unit 206 generates image data from at least a portion of the second three-dimensional data set collected in step S4 (S5). For example, the image data generation unit 206 generates image data from a partial data set corresponding to the target area 320 of the second three-dimensional data set corresponding to the extended target area 330.

Next, the control device 126 can display the image data generated in step S5 on a display device (not shown) (S6). This display device may be, for example, an element of the ophthalmological apparatus 100, a peripheral device of the ophthalmological apparatus 100, or a device (such as a telemedicine device) that can be connected to the ophthalmic apparatus 100 via a communication line.

Further, the control device 126 can store the image data generated in step S5 in a storage device (not shown) (S6). This storage device may be, for example, an element of the ophthalmologic apparatus 100, a peripheral device of the ophthalmologic apparatus 100, a device connectable to the ophthalmologic apparatus 100 via a communication line, or a portable recording medium.

A second example of operation will be described with reference to FIG. Description will be given below using examples shown in FIGS. 3A to 3D.

First, the scan control unit 210 controls the OCT scanner 220 to collect a three-dimensional data set (base data set) by applying an OCT scan to the fundus 300 targeting a prespecified base area 310 (S11). .

Next, the map creation unit 202 creates a two-dimensional map (base map) based on the respective representative intensity values of the plurality of A-scan data included in the base data set collected in step S11 (S12).

Next, the region specifying unit 204 specifies the target area 320 of the fundus 300 based at least on the base map created in step S12 (S13).

Next, the area specifying unit 204 specifies an extended target area 330 based at least on the target area 320 specified in step S13 (S14).

Next, the scan control unit 210 controls the OCT scanner 220 to collect a three-dimensional data set (extended target data set) by applying an OCT scan targeting the extended target area 330 specified in step S14 ( S15).

Next, the map creation unit 202 creates a two-dimensional map (extended target map) based on the representative intensity values of each of the plurality of A-scan data included in the expanded target data set collected in step S15 (S16). .

Next, the image data generation unit 206 compares the base map created in step S12 and the extended target map created in step S16 (S17).

Comparing two two-dimensional maps may include an image correlation operation. One method that can be adopted for this image correlation calculation is described in, for example, Japanese Patent No. 6276943 (International Publication No. 2015/029675). When using this method, the image data generation unit 206 applies phase only correlation (POC) to the set of the base map (or a portion corresponding to the extended target map) and the extended target map. Accordingly, the amount of displacement between the base map and the extended target map can be determined. This amount of displacement includes, for example, either or both of the amount of translational movement and the amount of rotational movement.

For details of the two-dimensional map comparison method using phase-only correlation, please refer to the specification of Japanese Patent No. 6276943. Further, the applicable two-dimensional map comparison method is not limited to the above example, and any method within the scope of the invention described in Japanese Patent No. 6276943 or any variation thereof can be applied. Further, in order to compare two two-dimensional maps, it is also possible to use any image correlation method other than phase-only correlation, or to use any image comparison method other than the image correlation method.

An example of the two-dimensional map comparison executed in step S17 will be described with reference to FIG. 6. As described above, the position and orientation of the fundus 300 (eye 120) differ between when performing the OCT scan in step S11 and when performing the OCT scan in step S15. Changes in the two-dimensional map (changes in the area to be scanned) due to this influence are detected by comparing the two-dimensional maps in step S17.

In this example, the base map created in step S12 and the expanded target map created in step S16 are compared. In other words, the base area 610 (310) and the area (scan application area) 630 to which the OCT scan was applied in step S15 are compared. In other words, the extended target area 330 and the scan application area 630 to which the OCT scan based on the expanded target area 330 has been applied are compared.

As can be seen from a comparison between FIG. 3D and FIG. 6, the scan application area 630 has moved in parallel to the upper left direction and rotated in the clockwise direction with respect to the extended target area 330. In this example, the amount of translational movement and rotational movement of the scan application area 630 with respect to the extended target area 330 is calculated by comparing the base map and the extended target map.

Next, the image data generation unit 206 specifies a partial data set corresponding to the target area 320 in the expanded target data set acquired in step S15, based on the result of the two-dimensional map comparison performed in step S17 ( S18). This partial data set is a portion of the three-dimensional data set corresponding to the scan application area 630, and is a data set corresponding to the target area 620 (320).

Next, the image data generation unit 206 generates image data from the partial data set specified in step S18 (S19). Thereby, image data corresponding to the target area 620 (320) is obtained. In other words, as described above, image data corresponding to the area of the fundus 300 that will be referred to in subsequent processing and treatment is obtained.

Next, the control device 126 can display the image data generated in step S19 on a display device (not shown) (S20). Furthermore, the control device 126 can store the image data generated in step S19 in a storage device (not shown) (S20).

A third example of operation will be explained. In the second operation example, it is assumed that the scan application area 630 includes the target area 620. However, it is possible that the scan application area 630 does not include the target area 620. In this example, an operation that takes into consideration the case where the scan application area 630 does not include the target area 620 will be described with reference to FIG. 7. Hereinafter, FIGS. 3A to 3D and FIG. 6 will also be referred to.

Steps S31 to S37 in the flowchart shown in FIG. 7 are similar to steps S11 to S17 in the flowchart shown in FIG. 5, respectively.

In step S38 of this example, the image data generation unit 206 combines the base map executed in step S37 (the two-dimensional map created in step S32) and the extended target map (the two-dimensional map created in step S36). Based on (at least) the comparison result, it is determined whether the area to which the OCT scan was applied (scan application area) in step S35 includes the target area specified in step S33.

In other words, the image data generation unit 206 determines whether the three-dimensional data set (extended target data set) collected by the OCT scan in step S35 corresponds to the target area based on (at least) the result of the comparison in step S37. Determine whether the dimensional data set (target data set) is included.

An example of processing applicable to the determination in step S38 will be described. As described above, the comparison in step S37 may include an image correlation calculation, and the result may include the amount of displacement (translational and/or rotational) between the base map and the extended target map. .

Since the target area is designated with respect to the base map in step S33, the positional relationship between the base area and the target area is known.

Furthermore, in step S37, the base map (base area) and extended target map (scan application area) are compared to determine the amount of displacement between both maps.

By combining these, the positional relationship between the scan application area and the target area can be obtained. That is, the positional relationship (in image space) between the extended target data set and the target data set is obtained.

The image data generation unit 206 can determine whether the scan application area includes the target area based on the positional relationship obtained in this way. That is, it is possible to determine whether the expanded target data set includes the target data set. Note that the process applicable to the determination in step S38 is not limited to this example.

An example of a case where the scan application area includes the target area is illustrated in FIG. If it is determined that the scan application area includes the target area (S38: Yes), the image data generation unit 206 generates a partial data set (target data set) corresponding to the target area 320 in the extended target data set acquired in step S35. ) (S39), and image data is generated from this target data set (S40). The control device 126 can display the generated image data on a display device (not shown) or store it in a storage device (not shown) (S41).

On the other hand, FIG. 8 shows an example of a case where the scan application area does not include the target area. In the example shown in FIG. 8, a part of the target area 820 set within the base area 810 (310) is located outside the scan application area 830.

If it is determined that the scan application area does not include the target area, the scan controller 210 causes the OCT scanner 220 to reapply the OCT scan targeting the extended target area to collect a new extended target data set. Control. The expanded target area applied in this OCT scan may be the same as the expanded target area applied in the previous (or previous) OCT scan, or may have one or more of the following: position, size, shape, and orientation. may be different from that. This series of processing is repeated until it is determined that the scan application area includes the target area. When it is determined that the scan application area includes the target area, the image data generation unit 206 generates image data from at least a part of the new expanded target data set (typically, a partial data set corresponding to the target data set). generate.

In this example, if it is determined that the scan application area does not include the target area (S38: No), the process returns to step S34. The area specifying unit 204 specifies a new expanded target area based on at least the target area specified in step S33 (and the base map created in step S32) (S34).

Note that if it is determined that the scan application area does not include the target area (S38: No), the process may be returned to step S33. In this case, a new target area is designated (S33), and a new extended target area is designated to include this new target area (and to be included in the base area) (S34).

Several examples of processes for specifying new expansion target areas will be described. The area specifying unit 204 can specify a new expansion target area based on the comparison result in step S37. For example, if the comparison result includes a displacement amount (translational displacement amount and/or rotational displacement amount), the area specifying unit 204 can specify a new expanded target area to cancel this displacement amount. Typically, when the amount of displacement obtained by comparison is the amount of displacement of the previous extended target area with respect to the target area, the area specifying unit 204 moves the previous extended target area by an amount opposite to this amount of displacement. By doing this, you can specify a new expansion target area. This new extended target area includes the target area (and is included in the base area).

As another example, the area specifying unit 204 expands the dimensions of the expanded target area based on the amount of displacement obtained by comparison, so that the area is newly expanded to include the target area (and included in the base area). You can specify an extended target area.

In addition, as another example, the area specifying unit 204 changes the shape of the extended target area based on the amount of displacement obtained by the comparison so that it includes the target area (and is included in the base area). ) New expansion target areas can be specified.

Furthermore, as another example, the area specifying unit 204 changes the orientation of the extended target area based on the displacement amount obtained by comparison so that it includes the target area (and is included in the base area). ) New expansion target areas can be specified.

As a combination of these examples, the area specifying unit 204 changes any one or more of the position, size, shape, and orientation of the expanded target area based on the amount of displacement obtained by comparison, so as to include the target area. A new extended target area can be specified (and included in the base area).

When a new extended target area is specified, the scan control unit 210 controls the OCT scanner 220 to collect a new extended target data set by applying an OCT scan to this new target area (S35). . Next, the map creation unit 202 creates a new expanded target map corresponding to the new expanded target area specified in step 34, based on this new expanded target data set (S36). Next, the image data generation unit 206 compares the base map created in step S32 and the new expanded target map created in step S36 (S37). Then, the image data generation unit 206 determines that the scan application area corresponding to the new expanded target map (that is, the area to which the OCT scan performed with the new target area as the target in step S35 was applied) includes the target area. It is determined whether or not (S38).

Such a series of processes is repeatedly executed until the determination is "Yes" in step S38. Note that error determination may be performed by setting an upper limit on the number of repetitions or setting an upper limit on repetition time.

When it is determined that the scan application area includes the target area (S38: Yes), the image data generation unit 206 creates a partial data set (target data set) (S39), and image data is generated from this target data set (S40). The control device 126 can display the generated image data on a display device (not shown) or store it in a storage device (not shown) (S41).

Note that in the above example, it is determined whether the scan application area includes the entire target area, but the manner of determination in step S38 is not limited to this. For example, it may be determined whether a predetermined percentage of partial areas of the target area are included in the target area.

Alternatively, an area of interest corresponding to the region of interest may be specified within the target area, and it may be determined whether at least the area of interest is included in the scan application area. Here, the designation of the area of interest is performed manually or automatically. The automatic designation includes, for example, a process of analyzing a base map to detect an image of a region of interest, and a process of designating an area of interest based on this detected image. Another example of automatic designation involves a process of analyzing a separately acquired image of the eye 120 to detect an image of the region of interest, and comparing the image with a base map to correspond to the detected image in the image. It includes a process of specifying an area in the base map, and a process of specifying an area of interest based on the specific area.

Some effects of the ophthalmologic apparatus (OCT apparatus) 100 of this embodiment will be explained.

The ophthalmological apparatus 100 of this embodiment includes an OCT scanner 220, a scan control section 210 (a first control section, a second control section), a map creation section 202, an area specification section 204, and an image data generation section 206. . OCT scanner 220 applies an OCT scan to the sample (eye 120). The scan control unit 210 controls the OCT scanner 200 to collect a first three-dimensional data set by applying an OCT scan targeting a first three-dimensional region of the eye 120. The map creation unit 202 creates a first two-dimensional map based on the representative intensity values of each of the plurality of A-scan data included in this first three-dimensional data set. The area specifying unit 204 specifies a second three-dimensional area of the eye 120 based on this first two-dimensional map. The scan control unit 210 controls the OCT scanner 220 to collect a second three-dimensional data set by applying an OCT scan to the second three-dimensional region. The image data generation unit 206 generates image data from at least a portion of this second three-dimensional data set.

According to such an ophthalmological apparatus 100, it is possible to construct an image of at least a portion of a designated area based on a two-dimensional map created from a three-dimensional data set collected by OCT scanning, so as described in Patent Document 1 (U.S. Pat. No. 7,884,945) and Patent Document 2 (U.S. Pat. No. 8,405,834) to obtain an image of a desired area without constructing a three-dimensional image or using landmarks. Is possible. Therefore, it is possible to improve the efficiency of resources necessary for processing and shorten processing time, and it is possible to further improve the efficiency of OCT scanning and OCT data processing. Thereby, for example, it is also possible to suitably perform real-time processing. Note that at least one of the hardware and software of the first control unit and the second control unit may be separate, or both may be the same.

In the ophthalmological apparatus 100 of this aspect, the area specifying unit 204 determines, based on the first two-dimensional map created by the map creating unit 202, the areas included in the corresponding area of the eye 120 (first three-dimensional area). The target area may be specified as a three-dimensional area, and a second three-dimensional area may be specified to include the target area. Further, the region specifying unit 204 may be configured to specify a second three-dimensional region so as to include the target region and be included in the first three-dimensional region.

According to such a configuration, it becomes possible to efficiently and more reliably acquire an image of a desired area (target area) that is referred to in processing/work such as diagnosis, analysis, and evaluation.

In the ophthalmological apparatus 100 of this embodiment, the map creation unit 202 is configured to create a second two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the second three-dimensional data set. It's good that it has been done. Furthermore, the image data generation unit 206 specifies a partial data set of the second three-dimensional data set by comparing the first two-dimensional map and the second two-dimensional map, and generates image data from this partial data set. It may be configured to do so.

According to such a configuration, it is possible to use the comparison of two two-dimensional maps to provide images without going through processes that require many resources such as constructing a three-dimensional image and comparing the two images obtained thereby. It is possible to specify a partial data set to be used.

In the ophthalmologic apparatus 100 of this aspect, the comparison between the first two-dimensional map and the second two-dimensional map may include an image correlation calculation. Furthermore, by this comparison, the amount of displacement between the first two-dimensional map and the second two-dimensional map may be determined. The amount of displacement may include at least one of the amount of translational movement and the amount of rotational movement.

According to such a configuration, the relationship between two two-dimensional maps can be efficiently determined by image correlation (typically, phase-only correlation) without going through processing that requires many resources such as landmark detection. is possible.

In the ophthalmological apparatus 100 of this embodiment, the region specifying unit 204 performs a process of specifying a target region, which is a three-dimensional region included in the first three-dimensional region, based on the first two-dimensional map, and a process of specifying a target region that is a three-dimensional region included in the first three-dimensional region. and specifying the second three-dimensional area to be included in the first three-dimensional area. Furthermore, the image data generation unit 206 converts the portion of the second three-dimensional data set corresponding to the target area into a partial data set based on the comparison result between the first two-dimensional map and the second two-dimensional map. It may be configured to specify as .

According to such a configuration, diagnosis, analysis, evaluation, etc. can be performed by comparing two 2D maps without going through processes that require many resources such as 3D image construction and comparison of two images obtained thereby. It becomes possible to efficiently and more reliably acquire an image of a desired area (target area) that is referred to in processing and work.

In the ophthalmological apparatus 100 of this aspect, the image data generation unit 206 determines whether the second three-dimensional data set corresponds to the target area based on the result of the comparison between the first two-dimensional map and the second two-dimensional map. The data set may be configured to determine whether the target data set is included.

According to such a configuration, diagnosis, analysis, evaluation, etc. can be performed by comparing two 2D maps without going through processes that require many resources such as 3D image construction and comparison of two images obtained thereby. It becomes possible to determine whether an image of a desired area (target area) referred to in the processing/work can be obtained from the second three-dimensional data set.

In the ophthalmological apparatus 100 of this embodiment, the image data generation unit 206 performs imaging when it is determined that the second three-dimensional data set includes the target data set by the above determination based on the comparison of the two two-dimensional maps. The target data set may be designated as the partial data set to be provided.

According to such a configuration, when it is determined that the second three-dimensional data set includes the target data set, an image of the target area can be obtained from this target data set. This makes it possible to acquire an image of the target area efficiently and more reliably.

In the ophthalmological apparatus 100 of this embodiment, the scan control unit 210 controls the scan control unit 210 of the eye 120 when it is determined that the second three-dimensional data set does not include the target data set by the above determination based on the comparison of the two two-dimensional maps. controlling the OCT scanner to reapply an OCT scan targeting a second three-dimensional region (previous, previous, or new) to collect a new second three-dimensional data set; It may be configured as follows. Furthermore, the image data generation unit 206 may be configured to generate image data from at least a portion of this new second three-dimensional data set.

According to such a configuration, if it is determined that the second three-dimensional data set does not include the target data set, OCT scanning may be applied to the eye 120 again to obtain an image of the target area. I can do it. This makes it possible to acquire an image of the target area efficiently and more reliably.

In the ophthalmological apparatus 100 of this embodiment, the region specifying unit 204 specifies a new second three-dimensional region of the eye 120 when it is determined that the second three-dimensional data set does not include the target data set. It may be configured as follows. Furthermore, the scan control unit 210 is configured to control the OCT scanner to collect a new second three-dimensional data set by applying an OCT scan targeting this new second three-dimensional region. It's okay to stay. In addition, the image data generation unit 206 may be configured to generate image data from at least a portion of this new second three-dimensional data set.

According to such a configuration, when it is determined that the second three-dimensional data set does not include the target data set, a second three-dimensional region for obtaining an image of the target region is newly specified. The OCT scan for eye 120 can be reapplied. This makes it possible to acquire an image of the target area efficiently and more reliably.

In the ophthalmological apparatus 100 of this aspect, when it is determined that the second three-dimensional data set does not include the target data set, the region specifying unit 204 selects a new three-dimensional region that is a three-dimensional region included in the first three-dimensional region. The target area may be specified, and a new second three-dimensional area may be specified to include the new target area.

Here, when it is determined that the second three-dimensional dataset does not include the target dataset and a new target area is specified, the area specifying unit 204 specifies that the second three-dimensional dataset includes the new target area and the first three-dimensional dataset does not include the target dataset. It may be configured to specify a new second three-dimensional area to be included in the dimensional area. Further, the area specifying unit 204 may be configured to specify a new second three-dimensional area based on the result of comparison between the first two-dimensional map and the second two-dimensional map. Further, the area specifying unit 204 may be configured to specify a new second three-dimensional area by changing the position of the second three-dimensional area based on the result of this comparison. Further, the dimensions of the new second three-dimensional region may be larger than the dimensions of the second three-dimensional region applied last time (or before).

Furthermore, the scan control unit 210 is configured to control the OCT scanner to collect a new second three-dimensional data set by applying an OCT scan targeting this new second three-dimensional region. It's okay to stay. In addition, the image data generation unit 206 may be configured to generate image data from at least a portion of this new second three-dimensional data set.

According to such a configuration, when it is determined that the second three-dimensional data set does not include the target data set, the target area and the second three-dimensional area are newly designated and the OCT scan is performed on the eye 120. An image of this new target area can be obtained by applying it again. This makes it possible to efficiently and more reliably acquire an image of a desired region of the eye 120.

As described above, although the sample in this embodiment is a living eye, similar functions and configurations can be applied to an OCT apparatus that targets samples other than living eyes. That is, it is possible to combine arbitrary matters regarding the ophthalmologic apparatus 100 (functions, hardware configuration, software configuration, etc.) into an OCT apparatus of any type. At this time, actions and effects are produced depending on the combined items.

Some aspects relate to a method of controlling an OCT device that includes an OCT scanner and a processor that applies an OCT scan to a sample. The control method may include at least the following steps: controlling an OCT scanner to target a first three-dimensional region of the sample and apply an OCT scan to collect a first three-dimensional data set. ; controlling the processor to create a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set; based on the first two-dimensional map; controlling the processor to specify a second three-dimensional region of the sample using the OCT scanner; controlling; controlling the processor to generate image data from at least a portion of the second three-dimensional data set;

It is possible to combine arbitrary matters regarding the ophthalmologic apparatus 100 (functions, hardware configuration, software configuration, etc.) with the control method of this embodiment. At this time, actions and effects are produced depending on the combined items.

Some aspects relate to a program that causes a computer to execute such an OCT apparatus control method. It is possible to combine any of the items described with respect to the ophthalmological device 100 to this program. Additionally, some aspects relate to a computer-readable non-transitory storage medium having such a program recorded thereon. It is possible to combine any of the matters described with respect to the ophthalmological device 100 to this recording medium.

Some aspects relate to an apparatus for processing data collected using OCT (OCT data processing apparatus). The OCT data processing device may include at least the following elements: a first receiving unit for receiving a first three-dimensional data set collected by an OCT scan targeting a first three-dimensional region of the sample; A map creation unit that creates a first two-dimensional map based on the representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set; an area specifying unit that specifies a three-dimensional area; a second reception unit that receives a second three-dimensional data set collected by OCT scanning targeting the second three-dimensional area; at least one of the second three-dimensional data sets; an image data generation section that generates image data from the section;

That is, instead of (or in addition to) the OCT scanner 220 of the above-mentioned OCT device (ophthalmological device) 100, this OCT data processing device externally (for example, OCT It includes elements (a first reception unit, a second reception unit) that receive data from devices (device, image archiving system, recording medium). At least one of the hardware and software of the first reception section and the second reception section may be separate, or both may be the same. The first reception unit (second reception unit) may include, for example, a communication device or a drive device.

It is possible to combine any items related to the ophthalmologic apparatus 100 (functions, hardware configuration, software configuration, etc.) with the OCT data processing apparatus of this embodiment. At this time, actions and effects are produced depending on the combined items.

Some aspects relate to a method of controlling an OCT data processing device that includes a processor. The control method may include at least the following steps: controlling the processor to accept a first three-dimensional data set collected by an OCT scan targeted at a first three-dimensional region of the sample; controlling the processor to create a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set; controlling the processor to specify a second three-dimensional region of the sample; controlling the processor to accept a second three-dimensional data set collected by an OCT scan targeted to the second three-dimensional region; Controlling the processor to generate image data from at least a portion of the second three-dimensional data set.

It is possible to combine arbitrary matters regarding the ophthalmologic apparatus 100 (functions, hardware configuration, software configuration, etc.) with the control method of this embodiment. At this time, actions and effects are produced depending on the combined items.

Some aspects relate to a program that causes a computer to execute such a method of controlling an OCT data processing device. It is possible to combine any of the items described with respect to the ophthalmological device 100 to this program. Additionally, some aspects relate to a computer-readable non-transitory storage medium having such a program recorded thereon. It is possible to combine any of the matters described with respect to the ophthalmological device 100 to this recording medium.

Some aspects of the OCT device (for example, the ophthalmological device 100), some aspects of the OCT device control method, some aspects of the OCT data processing device, or some aspects of the OCT data processing device control method provides an imaging method using OCT. The OCT imaging method may include at least the following steps: applying an OCT scan targeting a first three-dimensional region of the sample to collect a first three-dimensional data set; creating a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the dataset; specifying a second three-dimensional region of the sample based on the first two-dimensional map; Steps: applying an OCT scan targeting a second three-dimensional region to collect a second three-dimensional data set; generating image data from at least a portion of the second three-dimensional data set.

It is possible to combine arbitrary matters regarding the ophthalmologic apparatus 100 (functions, hardware configuration, software configuration, etc.) with the OCT imaging method of this embodiment. At this time, actions and effects are produced depending on the combined items.

Some aspects relate to a program that causes a computer to perform such an OCT imaging method. It is possible to combine any of the items described with respect to the ophthalmological device 100 to this program. Additionally, some aspects relate to a computer-readable non-transitory storage medium having such a program recorded thereon. It is possible to combine any of the matters described with respect to the ophthalmological device 100 to this recording medium.

Some aspects provide methods of processing data collected using OCT. The OCT data processing method may include at least the following steps: receiving a first three-dimensional data set collected by an OCT scan targeted at a first three-dimensional region of the sample; creating a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the dimensional data set; specifying a second three-dimensional region of the sample based on the first two-dimensional map; receiving a second three-dimensional data set collected by an OCT scan targeted at a second three-dimensional region; generating image data from at least a portion of the second three-dimensional data set.

It is possible to combine arbitrary matters regarding the ophthalmologic apparatus 100 (functions, hardware configuration, software configuration, etc.) with the OCT data processing method of this embodiment. At this time, actions and effects are produced depending on the combined items.

Some aspects relate to a program that causes a computer to execute such an OCT data processing method. It is possible to combine any of the items described with respect to the ophthalmological device 100 to this program. Additionally, some aspects relate to a computer-readable non-transitory storage medium having such a program recorded thereon. It is possible to combine any of the matters described with respect to the ophthalmological device 100 to this recording medium.

The non-transitory recording medium may be in any form, examples of which include magnetic disks, optical disks, magneto-optical disks, semiconductor memory, and the like.

The several aspects described above are merely examples of embodiments of the invention. Therefore, any modification (omission, substitution, addition, etc.) can be made within the scope of the gist of the invention.

100 Ophthalmological equipment (OCT equipment)
124 Processing device 126 Control device 202 Map creation section 204 Area specification section 206 Image data generation section 210 Scan control section 220 OCT scanner

Claims (36)

1. A method of operating an OCT device for applying optical coherence tomography (OCT) to a sample , the method comprising:
The OCT device includes an OCT scanner and a processor;
a first scanning step in which the OCT scanner applies an OCT scan targeting a first three-dimensional region of the sample to collect a first three-dimensional data set;
a map creation step in which the processor creates a first two-dimensional map based on representative intensity values of each of a plurality of A-scan data included in the first three-dimensional data set;
The processor specifies a target area that is a three-dimensional area included in the first three-dimensional area based on the first two-dimensional map, and specifies a second one of the samples to include the target area. a region specifying step of specifying a three-dimensional region of
a second scanning step in which the OCT scanner applies an OCT scan targeting the second three-dimensional region to collect a second three-dimensional data set;
an image data generation step in which the processor generates image data from at least a portion of the second three-dimensional data set;
method including . In the area specifying step, the processor specifies the second three-dimensional area to include the target area and to be included in the first three-dimensional area.
The method of claim 1. 1. A method of operating an OCT device for applying optical coherence tomography (OCT) to a sample , the method comprising:
The OCT device includes an OCT scanner and a processor;
a first scanning step in which the OCT scanner applies an OCT scan targeting a first three-dimensional region of the sample to collect a first three-dimensional data set;
a first map creation step in which the processor creates a first two-dimensional map based on representative intensity values of each of a plurality of A-scan data included in the first three-dimensional data set;
a first area specifying step in which the processor specifies a second three-dimensional area of the sample based on the first two-dimensional map;
a second scanning step in which the OCT scanner applies an OCT scan targeting the second three-dimensional region to collect a second three-dimensional data set;
a second map creation step in which the processor creates a second two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the second three-dimensional data set;
The processor specifies a partial data set of the second three-dimensional data set by comparing the first two-dimensional map and the second two-dimensional map, and generates image data from the partial data set . 1 image data generation step and
method including . The comparison of the first image data generation step includes an image correlation operation;
The method of claim 3. In the first image data generation step, the processor determines the amount of displacement between the first two-dimensional map and the second two-dimensional map by the comparison.
The method according to claim 3 or 4. The displacement amount includes at least one of a parallel displacement amount and a rotational displacement amount,
The method of claim 5. In the first area specifying step, the processor specifies a target area that is a three-dimensional area included in the first three-dimensional area based on the first two-dimensional map , and includes the target area. and specifying the second three-dimensional area to be included in the first three-dimensional area,
In the first image data generation step, the processor designates a portion of the second three-dimensional data set corresponding to the target area as the partial data set based on the comparison result.
The method according to claims 3 to 6. In the first image data generation step, the processor determines whether the second three-dimensional data set includes a target data set corresponding to the target area, based on the comparison result.
The method of claim 7. In the first image data generation step, if it is determined that the second three-dimensional data set includes the target data set, the processor designates the target data set as the partial data set.
9. The method of claim 8. In the first image data generation step, if it is determined that the second three-dimensional data set does not include the target data set,
a third scanning step in which the OCT scanner reapplies an OCT scan targeted at a second three-dimensional region of the sample to collect a new second three-dimensional data set;
a second image data generation step in which the processor generates image data from at least a portion of the new second three-dimensional data set;
10. The method of claim 8 or 9 , further comprising : In the first image data generation step, if it is determined that the second three-dimensional data set does not include the target data set,
The processor further includes a second region specifying step of specifying a new second three-dimensional region of the sample,
In the third scanning step, the OCT scanner applies an OCT scan targeting the new second three-dimensional region to collect the new second three-dimensional data set.
The method of claim 10. In the first image data generation step, if it is determined that the second three-dimensional data set does not include the target data set,
In the second region designation step, the processor designates a new target region that is a three-dimensional region included in the first three-dimensional region, and configures the new target region to include the new target region. Specify the 3D area of 2.
12. The method of claim 11. In the second region designation step, the processor designates the new second three-dimensional region to include the new target region and to be included in the first three-dimensional region.
13. The method of claim 12. In the second region designation step, the processor designates the new second three-dimensional region based on the comparison result.
The method according to claim 11 or 12. In the second area specifying step, the processor specifies the new second three-dimensional area by changing the position of the second three-dimensional area based on the comparison result.
15. The method of claim 14. The dimensions of the new second three-dimensional area are larger than the dimensions of the second three-dimensional area,
The method according to any one of claims 11 to 15. A method of operating an OCT data processing device for processing data collected using optical coherence tomography (OCT), the method comprising:
The OCT data processing device includes a processor;
the processor receiving a first three-dimensional data set collected by an OCT scan targeted at a first three-dimensional region of the sample;
the processor creating a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set;
The processor specifies a target area that is a three-dimensional area included in the first three-dimensional area based on the first two-dimensional map, and specifies a second one of the samples to include the target area. a step of specifying a three-dimensional area of
the processor receiving a second three-dimensional data set collected by an OCT scan targeted at the second three-dimensional region;
the processor generating image data from at least a portion of the second three-dimensional data set ;
method including . A method of operating an OCT data processing device for processing data collected using optical coherence tomography (OCT), the method comprising:
The OCT data processing device includes a processor;
the processor receiving a first three-dimensional data set collected by an OCT scan targeted at a first three-dimensional region of the sample;
the processor creating a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set;
the processor specifying a second three-dimensional region of the sample based on the first two-dimensional map;
the processor receiving a second three-dimensional data set collected by an OCT scan targeted at the second three-dimensional region;
the processor creating a second two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the second three-dimensional data set;
the processor designating a partial data set of the second three-dimensional data set by comparing the first two-dimensional map and the second two-dimensional map;
the processor generating image data from the partial dataset ;
method including . an optical coherence tomography (OCT) scanner that applies an optical coherence tomography (OCT) scan to the sample;
a first controller controlling the OCT scanner to target a first three-dimensional region of the sample and apply an OCT scan to collect a first three-dimensional data set;
a map creation unit that creates a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set;
an area specifying unit that specifies a second three-dimensional area of the sample based on the first two-dimensional map;
a second controller that controls the OCT scanner to collect a second three-dimensional data set by applying an OCT scan targeting the second three-dimensional region;
an image data generation unit that generates image data from at least a portion of the second three-dimensional data set;
The area specifying unit specifies a target area that is a three-dimensional area included in the first three-dimensional area based on the first two-dimensional map, and specifies the second area so as to include the target area. Specify the 3D area of
OCT device. The area specifying unit specifies the second three-dimensional area to include the target area and to be included in the first three-dimensional area.
The OCT apparatus according to claim 19. an optical coherence tomography (OCT) scanner that applies an optical coherence tomography (OCT) scan to the sample;
a first controller controlling the OCT scanner to target a first three-dimensional region of the sample and apply an OCT scan to collect a first three-dimensional data set;
a map creation unit that creates a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set;
an area specifying unit that specifies a second three-dimensional area of the sample based on the first two-dimensional map;
a second controller that controls the OCT scanner to collect a second three-dimensional data set by applying an OCT scan targeting the second three-dimensional region;
an image data generation unit that generates image data from at least a portion of the second three-dimensional data set;
The map creation unit creates a second two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the second three-dimensional data set,
The image data generation unit specifies a partial data set of the second three-dimensional data set by comparing the first two-dimensional map and the second two-dimensional map, and extracts the image data from the partial data set. generate,
OCT device. the comparison includes an image correlation operation;
The OCT apparatus according to claim 21. The image data generation unit determines an amount of displacement between the first two-dimensional map and the second two-dimensional map by the comparison.
The OCT apparatus according to claim 21 or 22. The displacement amount includes at least one of a parallel displacement amount and a rotational displacement amount,
The OCT apparatus according to claim 23. The area specifying unit specifies a target area that is a three-dimensional area included in the first three-dimensional area based on the first two-dimensional map, and includes the target area and the first three-dimensional area. specifying the second three-dimensional area to be included in the three-dimensional area;
The image data generation unit specifies a portion of the second three-dimensional data set corresponding to the target area as the partial data set based on the comparison result.
The OCT apparatus according to any one of claims 21 to 24. The image data generation unit determines whether the second three-dimensional data set includes a target data set corresponding to the target area, based on the comparison result.
The OCT apparatus according to claim 25. If it is determined that the second three-dimensional data set includes the target data set, the image data generation unit specifies the target data set as the partial data set.
The OCT apparatus of claim 26. If it is determined that the second three-dimensional data set does not include the target data set, the second control unit reapplies an OCT scan targeting the second three-dimensional region of the sample to perform a new OCT scan. controlling the OCT scanner to collect a second three-dimensional data set;
The image data generation unit generates image data from at least a portion of the new second three-dimensional data set.
The OCT apparatus according to claim 26 or 27. If it is determined that the second three-dimensional data set does not include the target data set, the area specifying unit specifies a new second three-dimensional area of the sample;
The second control unit controls the OCT scanner to collect the new second three-dimensional data set by applying an OCT scan targeting the new second three-dimensional region.
The OCT apparatus of claim 28. If it is determined that the second three-dimensional data set does not include the target data set, the area specifying unit specifies a new target area that is a three-dimensional area included in the first three-dimensional area. , and specifying the new second three-dimensional area to include the new target area;
The OCT apparatus according to claim 29. The area specifying unit specifies the new second three-dimensional area to include the new target area and to be included in the first three-dimensional area.
31. The OCT apparatus of claim 30. The area specifying unit specifies the new second three-dimensional area based on the comparison result.
The OCT apparatus according to claim 29 or 30. The area specifying unit specifies the new second three-dimensional area by changing the position of the second three-dimensional area based on the comparison result.
33. The OCT apparatus of claim 32. The dimensions of the new second three-dimensional area are larger than the dimensions of the second three-dimensional area,
The OCT apparatus according to any one of claims 29 to 33. An apparatus for processing data collected using optical coherence tomography (OCT), the apparatus comprising:
a first reception unit that receives a first three-dimensional data set collected by an OCT scan targeting a first three-dimensional region of the sample;
a map creation unit that creates a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set;
an area specifying unit that specifies a second three-dimensional area of the sample based on the first two-dimensional map;
a second reception unit that receives a second three-dimensional data set collected by an OCT scan targeting the second three-dimensional region;
an image data generation unit that generates image data from at least a portion of the second three-dimensional data set;
The area specifying unit specifies a target area that is a three-dimensional area included in the first three-dimensional area based on the first two-dimensional map, and specifies the second area so as to include the target area. Specify the 3D area of
OCT data processing device. An apparatus for processing data collected using optical coherence tomography (OCT), the apparatus comprising:
a first reception unit that receives a first three-dimensional data set collected by an OCT scan targeting a first three-dimensional region of the sample;
a map creation unit that creates a first two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the first three-dimensional data set;
an area specifying unit that specifies a second three-dimensional area of the sample based on the first two-dimensional map;
a second reception unit that receives a second three-dimensional data set collected by OCT scanning targeting the second three-dimensional region;
an image data generation unit that generates image data from at least a portion of the second three-dimensional data set;
The map creation unit creates a second two-dimensional map based on representative intensity values of each of the plurality of A-scan data included in the second three-dimensional data set,
The image data generation unit specifies a partial data set of the second three-dimensional data set by comparing the first two-dimensional map and the second two-dimensional map, and extracts the image data from the partial data set. generate,
OCT data processing device.

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