Method and device for adjusting anterior segment OCT (optical coherence tomography) image and OCT equipment

Abstract

The invention provides an anterior segment OCT image adjusting method and device and OCT equipment, and relates to the technical field of image processing.The method comprises the steps that an anterior segment OCT image shot by the OCT equipment in a scanning mode is obtained, and edge information contained in the anterior segment OCT image is extracted; determining offset information of the anterior segment OCT image based on the edge information; and performing offset adjustment on the anterior segment OCT image by using the offset information to obtain an adjusted image corresponding to the anterior segment OCT image. According to the method and device for adjusting the anterior segment OCT image and the OCT equipment, offset adjustment can be carried out on the anterior segment OCT image, an additional camera does not need to be used in the whole adjusting process, a hardware structure does not need to be adjusted either, the complexity of hardware implementation is reduced, the adjusting effect is improved, meanwhile, the imaging cost is reduced, and the method and device are suitable for popularization and application. And popularization and use are facilitated.

Description

Technical Field

[0001] This invention relates to the field of image processing technology, and in particular to a method, apparatus, and OCT device for adjusting anterior segment OCT images. Background Technology

[0002] Optical coherence tomography (OCT) technology boasts advantages such as high imaging speed and high resolution, and is widely used in ophthalmology. From traditional time-domain OCT to frequency-domain based SD... OCT (Spectral Domain Optical Coherence Tomography), and then SS based on frequency sweep source technology OCT (Swept-Source Optical Coherence Tomography) technology is becoming increasingly faster, enabling scans to be completed in a short time.

[0003] Typically, when using anterior segment OCT images for 3D modeling, the Bscan image data obtained in radiographic scanning mode is often transformed into point cloud data of the actual physical space. Then, surface fitting methods are used to obtain the fitting result for the corneal surface. During the Bscan image acquisition process, eye movement has a significant impact on the accuracy of the surface fitting result; therefore, the influence of eye movement needs to be considered during 3D modeling.

[0004] In related technologies, adjustments are often made on imaging equipment, which not only has high hardware requirements but is also relatively complex to operate, resulting in poor adjustment effects and making it difficult to promote. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a method, apparatus and OCT device for adjusting anterior segment OCT images to alleviate the above-mentioned technical problems.

[0006] In a first aspect, embodiments of the present invention provide a method for adjusting an anterior segment OCT image, the method comprising: acquiring an anterior segment OCT image captured by an OCT device in scanning mode; extracting edge information contained in the anterior segment OCT image; determining offset information of the anterior segment OCT image based on the edge information; and adjusting the anterior segment OCT image using the offset information to obtain an adjusted image corresponding to the anterior segment OCT image.

[0007] In conjunction with the first aspect, the present invention provides a first possible implementation of the first aspect, wherein the aforementioned anterior segment OCT image includes anterior segment OCT images taken from multiple different angles in the scanning mode; the step of extracting edge information contained in the anterior segment OCT image includes: sequentially extracting edge information of the target eye structure contained in each of the anterior segment OCT images taken from different angles.

[0008] In conjunction with the first possible implementation of the first aspect, the present invention provides a second possible implementation of the first aspect, wherein the target eye structure is the anterior surface of the cornea.

[0009] In conjunction with the first possible implementation of the first aspect, this embodiment of the invention provides a third possible implementation of the first aspect, wherein the step of determining the offset information of the anterior segment OCT image based on the edge information includes: extracting feature points from the edge information contained in each anterior segment OCT image to obtain a feature point set containing multiple feature points; determining the changing trend of the multiple feature points; calculating the difference information between the changing trend and a pre-set standardized trend; and obtaining offset information based on the difference information.

[0010] In conjunction with the third possible implementation of the first aspect, this embodiment of the invention provides a fourth possible implementation of the first aspect, wherein the step of determining the changing trend of the plurality of feature points includes: performing fitting processing on the plurality of feature points to obtain the changing trend of the plurality of feature points.

[0011] In conjunction with the third possible implementation of the first aspect, this embodiment of the invention provides a fifth possible implementation of the first aspect, wherein the step of determining the changing trend of the plurality of feature points further includes: performing Fourier transform processing on the plurality of feature points to obtain frequency domain features corresponding to the plurality of feature points; and determining the changing trend of the plurality of feature points based on the frequency domain features.

[0012] In conjunction with the first possible implementation of the first aspect, this embodiment of the invention provides a sixth possible implementation of the first aspect, wherein the step of adjusting the offset of the anterior segment OCT image using the offset information includes: converting the edge point coordinates corresponding to the edge information into two-dimensional point cloud data based on the spatial resolution of the OCT device; determining the rotation angles corresponding to multiple anterior segment OCT images taken from different angles, and generating a rotation matrix based on the rotation angles; converting the two-dimensional point cloud data into three-dimensional point cloud data using the rotation matrix; and adjusting the offset of the three-dimensional point cloud data based on the offset information.

[0013] In conjunction with the sixth possible implementation of the first aspect, this embodiment of the invention provides a seventh possible implementation of the first aspect, wherein the above method further includes: fitting the three-dimensional point cloud data after offset adjustment to obtain a three-dimensional fitting result; calculating the difference between the three-dimensional fitting result and the three-dimensional point cloud data before offset adjustment; if the difference is greater than a preset difference threshold, iteratively adjusting the offset information until the difference satisfies the difference threshold.

[0014] Secondly, embodiments of the present invention also provide an adjustment device for anterior segment OCT images, the device comprising: an acquisition module, configured to acquire an anterior segment OCT image captured by an OCT device in scanning mode, and extract edge information contained in the anterior segment OCT image; a determination module, configured to determine offset information of the anterior segment OCT image based on the edge information; and a registration module, configured to adjust the anterior segment OCT image by offset using the offset information, thereby obtaining an adjusted image corresponding to the anterior segment OCT image.

[0015] Thirdly, embodiments of the present invention also provide an OCT device, wherein the controller of the OCT device is configured with the anterior segment OCT image adjustment device described in the second aspect.

[0016] The embodiments of the present invention bring the following beneficial effects: This invention provides a method, apparatus, and OCT device for adjusting anterior segment OCT images. It can acquire anterior segment OCT images captured by the OCT device in scanning mode, extract edge information contained in the anterior segment OCT images, determine offset information of the anterior segment OCT images based on the edge information, and adjust the anterior segment OCT images using the offset information to obtain an adjusted image corresponding to the anterior segment OCT images. The entire adjustment process is based on offset information obtained from edge information, requiring no additional camera or hardware structure adjustments. This not only reduces the complexity of hardware implementation but also improves the adjustment effect and lowers imaging costs, facilitating its promotion and use.

[0017] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0019] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 A flowchart illustrating a method for adjusting anterior segment OCT images provided in an embodiment of the present invention; Figure 2 A corneal edge distribution map before offset adjustment is provided in an embodiment of the present invention; Figure 3 A corneal edge distribution map after offset adjustment provided in an embodiment of the present invention; Figure 4 A schematic diagram of three-dimensional point cloud data of the corneal edge provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of an anterior segment OCT image adjustment device provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Currently, the registration methods for anterior segment OCT images are mostly effective only when eye movements occur in a specific direction. However, most eye movements involve movement in multiple directions, so this registration method is usually not accurate enough. In addition, some other techniques require an additional pupil camera, which places high demands on hardware and is relatively complex to operate, making them difficult to promote.

[0023] Based on this, the present invention provides a method, apparatus and OCT device for adjusting anterior segment OCT images, which can correct and register OCT images in the presence of eye movement, and finally obtain more accurate corneal morphology results.

[0024] To facilitate understanding of this embodiment, a method for adjusting anterior segment OCT images disclosed in this embodiment of the invention will first be described in detail.

[0025] In one possible implementation, embodiments of the present invention provide a method for adjusting anterior segment OCT images, such as... Figure 1 The flowchart shown illustrates a method for adjusting anterior segment OCT images, which includes the following steps: Step S102: Acquire the anterior segment OCT image captured by the OCT device in scanning mode, and extract the edge information contained in the anterior segment OCT image; Step S104: Determine the offset information of the anterior segment OCT image based on edge information; Step S106: The offset information is used to adjust the offset of the anterior segment OCT image to obtain the adjusted image corresponding to the anterior segment OCT image.

[0026] The aforementioned anterior segment OCT images include anterior segment OCT images taken from multiple different angles in scanning mode; that is, the anterior segment OCT images obtained in step S102 actually consist of multiple images, and when extracting edge information, it is necessary to extract the edge information of the target eye structure contained in each anterior segment OCT image taken from different angles in sequence.

[0027] In practical use, OCT devices can typically capture images of the anterior segment in radiographic scanning mode. These images usually include ocular structures such as the anterior corneal surface, posterior corneal surface, iris, and lens. This invention extracts edge information from the anterior corneal surface. In other words, the target ocular structure in this embodiment is the anterior corneal surface. Since light first reaches the anterior corneal surface when the OCT device scans the eye for imaging, using the anterior corneal surface as the target ocular structure to extract edge information in this embodiment avoids deviations caused by the influence of other ocular structures on the light.

[0028] Furthermore, in this embodiment of the invention, when determining the offset information based on the edge information in step S104, the offset information is initially calculated based on the geometric features of the edge information. Since the anterior segment OCT image is a two-dimensional graphic, the offset information at this time actually includes two-dimensional offsets, such as offset information in the X and Y directions. Then, based on the feature that the corneal surface is smooth and continuous, the offset information is further precisely calculated.

[0029] Furthermore, the anterior segment OCT image adjustment method provided in this embodiment of the invention actually implements an eye-tracking registration process for anterior segment OCT images. This registration process does not rely on external image information, such as image information captured by a pupil camera, nor does it require correction and control of hardware structures such as the device and motor during OCT imaging, thus reducing the complexity of hardware control. Further, in this embodiment of the invention, the OCT device only needs to capture a series of specific OCT images at different angles according to a pre-set shooting angle and a radiographic scanning mode. For example, setting the galvanometer interval rotation angle to α, N anterior segment OCT images can be acquired within a 180-degree angle range, where N = 180 / α, and the rotation angles corresponding to each image are 0 degrees, α degrees, 2*α degrees…(N-1)*α degrees, respectively.

[0030] Furthermore, in step S102 above, when extracting edge information, the edge information of the anterior corneal surface in the anterior segment OCT image at each angle is extracted sequentially. The edge information extraction process is the benchmark process for three-dimensional reconstruction using anterior segment OCT images, and the edge information extraction method is not limited to traditional image processing methods or deep learning-based edge extraction methods, ultimately obtaining the edge information of the anterior corneal surface from N anterior segment OCT images.

[0031] Furthermore, based on the edge information of the anterior corneal surface of each extracted anterior segment OCT image, in step S104 above, when determining the offset information, it is necessary to extract feature points from the edge information contained in each anterior segment OCT image to obtain a feature point set containing multiple feature points; then determine the changing trend of the multiple feature points; calculate the difference information between the changing trend and the pre-set standardized trend; and then obtain the offset information based on the difference information.

[0032] In specific implementation, the aforementioned feature points are not limited to the geometric center point of the edge information, the highest point of the edge, etc. Moreover, in the embodiments of the present invention, the aforementioned change trend can be obtained by fitting, that is, by fitting multiple feature points to obtain the change trend presented by multiple feature points; or it can be transformed to the frequency domain space and characterized by frequency domain features, that is, by performing Fourier transform processing on multiple feature points to obtain the frequency domain features corresponding to multiple feature points; and the change trend presented by multiple feature points is determined based on the frequency domain features.

[0033] For example, assuming there are N anterior segment OCT images, the number of feature points in the aforementioned feature point set will also be N. In this case, these N feature points can be fitted using polynomial fitting or other fitting methods; alternatively, a Fourier transform can be performed on these N feature points. Since the cornea is a regular, smooth surface, when there is no offset during OCT image capture, these feature points conform to specific rules. Specifically, when there is no offset, all feature points have the same positional information. If a fitting method is used, a straight line fitting result is obtained; if a Fourier transform method is used, a frequency domain result without a significant spectral signal is obtained. However, when there is offset, the positional information of all feature points differs. If a fitting method is used, different fitting coefficients can be obtained; if a Fourier transform method is used, different spectral signal results can be obtained. By analyzing the obtained fitting coefficients or Fourier decomposition coefficients and comparing them with the difference information of the normalized trend when there is no offset, approximate offset information during OCT image capture can be obtained. The aforementioned pre-set standardization trend can be an empirical value estimated based on the shooting results without offset. It can be set according to the actual usage, and the embodiments of the present invention do not impose any restrictions on it.

[0034] In addition, variance or mean squared error can be used to analyze the changing trends of multiple feature points. The specific method depends on the actual use case, and this embodiment of the invention does not impose any restrictions on this.

[0035] Furthermore, in step S106 above, when performing offset adjustment, it is necessary to transform the edge points included in the edge information obtained from the OCT image from image coordinates to the physical Cartesian coordinate system. Specifically, based on the spatial resolution of the OCT device, the coordinates of the edge points corresponding to the edge information can be converted into two-dimensional point cloud data. Specifically, the spatial resolution is the resolution in both the X and Y directions. The image coordinates of the edge points are multiplied by the corresponding resolution to obtain two-dimensional point cloud data in the Cartesian coordinate system.

[0036] Then, the rotation angles corresponding to the anterior segment OCT images taken from multiple different angles are determined, and a rotation matrix is ​​generated based on the rotation angles; the two-dimensional point cloud data is converted into three-dimensional point cloud data using the rotation matrix; and the three-dimensional point cloud data is offset and adjusted based on the offset information.

[0037] Specifically, taking the above N anterior segment OCT images as an example, the rotation angle corresponding to each anterior segment OCT image is represented as θ=(N-1)*α. Through matrix transformation, the three-dimensional point cloud data of the image points can be obtained, and the corresponding three-dimensional rotation matrix is ​​H, represented as follows: ; Applying the rotation matrix H to the two-dimensional point cloud data in the Cartesian coordinate system yields three-dimensional point cloud data, also known as corneal point cloud data. This three-dimensional point cloud data is then subjected to offset adjustment. Specifically, based on the offset information, including offsets in the X and Y directions, adjustments are made to the three-dimensional point cloud data. This adjustment process involves moving the data in the direction that eliminates the offset. For example, if the offset information is along the positive X-axis, the adjustment is made in the negative X-axis direction to eliminate the effect of the offset.

[0038] Furthermore, in this embodiment of the invention, the 3D point cloud data after offset adjustment can be fitted to obtain a 3D fitting result; the difference between the 3D fitting result and the 3D point cloud data before offset adjustment can be calculated; if the difference is greater than a preset difference threshold, the offset information is iteratively adjusted until the difference meets the difference threshold. Specifically, for the anterior segment OCT image, the 3D point cloud data intersect at a point on the rotation axis by default. Therefore, a random OCT point cloud data can be selected as a reference. The reference OCT point cloud data can be any one of the 3D point cloud data, preferably the data at the middle angle of the 3D point cloud data. Other 3D point cloud data are adjusted to the intersection point in the Z direction. In this process, the offset adjustment of the Z-axis is realized.

[0039] Furthermore, after the Z-axis adjustment, the 3D point cloud data after offset adjustment is fitted. For example, the Zernike polynomial fitting method is used to fit the 3D point cloud data after offset adjustment, and a set of fitted corresponding point cloud data can be obtained, namely the above 3D fitting result. At this time, the point cloud data has the same X and Y axis coordinates as the original 3D point cloud data before offset adjustment, but the Z axis coordinates are different. By calculating this difference, that is, the difference between the 3D fitting result and the 3D point cloud data before offset adjustment, the accuracy of the offset information can be determined.

[0040] In practical applications, Zernike polynomial fitting is a classic wavefront reconstruction method, which is formed by fitting a set of orthogonal basis functions with a predetermined number of terms. By transforming the above 3D point cloud data into a polar coordinate system, the coefficients of each Zernike basis function can be obtained through Zernike polynomial fitting, thus yielding the Zernike polynomial analytical result of the surface, and consequently the fitted point cloud result, i.e., the 3D fitting result.

[0041] In this embodiment of the invention, the movement range and step size of the offset, as well as the difference threshold, can be preset. If the calculated difference result is greater than the difference threshold, the next step of optimizing the precise offset information needs to be entered. The specific method can be as follows: the calculated offset information is adjusted within the set movement range according to the set movement step size; the adjusted offset information is used to re-adjust the 3D point cloud data to obtain a new set of 3D point cloud data; and the data is refitted to obtain a new 3D fitting result; the difference between the new 3D point cloud data and the data before the offset adjustment is further calculated. This process is iterated until the offset information whose difference between the Zernike fitting result and the data before the offset adjustment meets the difference threshold is found, such as the offset information with the smallest difference. This is the best or relatively most accurate offset information. The 3D point cloud data obtained by offset adjustment based on this offset information can be used for image reconstruction to obtain a relatively accurate anterior segment OCT image, i.e., the adjusted image in this embodiment of the invention.

[0042] Furthermore, for ease of understanding, Figure 2 A corneal margin distribution map before offset adjustment is also shown, corresponding to... Figure 3 An offset-adjusted corneal margin distribution map is shown, and, Figure 4 A schematic diagram of three-dimensional point cloud data of the corneal rim is shown. Figure 2 and Figure 3 It can be seen that the distribution of the corneal edge is more concentrated after the offset adjustment compared to before the adjustment, and based on Figure 4 The distribution of the 3D point cloud data shown indicates that the corneal edge obtained from the 3D point cloud data with a more concentrated distribution at the corneal edge is smoother, that is, a clearer corneal image can be obtained.

[0043] In summary, the method for adjusting anterior segment OCT images provided in this embodiment of the invention has the following beneficial effects: (1) The edge information of the anterior corneal surface can be extracted from N anterior segment OCT images to find the feature points of the anterior corneal surface in each anterior segment OCT image. The feature points are not limited to the geometric center point of the edge, the highest point of the edge, etc. By analyzing the distribution law of eye movement deviation and feature points, the deviation information of each anterior segment OCT image relative to the rotation axis during the shooting process can be obtained.

[0044] (2) Use offset information to adjust and correct the offset of the three-dimensional point cloud data in the X, Y and Z directions to restore more accurate point cloud data; (3) By combining Zernike polynomial fitting and offset information, the difference between the fitting result and the original point cloud is judged to perform a more accurate offset data optimization process in a local range; after multiple iterations, the best point cloud data registration result can be found.

[0045] Furthermore, based on the above embodiments, this invention also provides an adjustment device for anterior segment OCT images, such as... Figure 5 The schematic diagram shown illustrates the structure of an adjustment device for anterior segment OCT images, comprising the following steps: The acquisition module 50 is used to acquire an anterior segment OCT image captured by the OCT device in scanning mode, and extract edge information contained in the anterior segment OCT image; Determining module 52 is used to determine the offset information of the anterior segment OCT image based on the edge information; The registration module 54 is used to adjust the offset of the anterior segment OCT image using the offset information to obtain the adjusted image corresponding to the anterior segment OCT image.

[0046] Furthermore, this embodiment of the invention also provides an OCT device, the controller of which is configured with the aforementioned anterior segment OCT image adjustment device.

[0047] The apparatus and OCT device provided in this embodiment of the invention have the same technical features as the method for adjusting anterior segment OCT images provided in the above embodiments, so they can also solve the same technical problems and achieve the same technical effects.

[0048] Furthermore, embodiments of the present invention also provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above method.

[0049] This invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the above-described method.

[0050] Furthermore, embodiments of the present invention also provide a schematic diagram of the structure of an electronic device, such as... Figure 6 The diagram shows the structure of the electronic device, which includes a processor 61 and a memory 60. The memory 60 stores computer-executable instructions that can be executed by the processor 61, and the processor 61 executes the computer-executable instructions to implement the above-described method.

[0051] exist Figure 6 In the illustrated embodiment, the electronic device further includes a bus 62 and a communication interface 63, wherein the processor 61, the communication interface 63, and the memory 60 are connected via the bus 62.

[0052] The memory 60 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 63 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc. The bus 62 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 62 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0053] Processor 61 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 61 or by instructions in software form. Processor 61 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this invention can be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in the memory, and the processor 61 reads the information in the memory and uses its hardware to complete the aforementioned method.

[0054] The computer program product of the anterior segment OCT image adjustment method, apparatus and OCT device provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the preceding method embodiments. For specific implementation, please refer to the method embodiments, which will not be repeated here.

[0055] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the device and OCT equipment described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0056] Furthermore, in the description of the embodiments of the present invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention based on the specific circumstances.

[0057] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0058] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0059] Finally, it should be noted that the above embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An adjustment method of an ocular anterior segment OCT image, characterized by, The method comprises: obtaining an anterior segment OCT image obtained by an OCT device in a scanning mode, and extracting edge information contained in the anterior segment OCT image; determining offset information of the anterior segment OCT image based on the edge information; adjusting the anterior segment OCT image based on the offset information to obtain an adjusted image corresponding to the anterior segment OCT image.

2. The method of claim 1, wherein, The anterior segment OCT image comprises a plurality of anterior segment OCT images taken at different angles in the scanning mode; The step of extracting the edge information contained in the anterior segment OCT image comprises: extracting edge information of a target eye structure contained in each of the anterior segment OCT images taken at different angles in sequence.

3. The method of claim 2, wherein, The target eye structure is a corneal front surface.

4. The method of claim 2, wherein, The step of determining the offset information of the anterior segment OCT image based on the edge information comprises: extracting feature points from the edge information contained in each of the anterior segment OCT images to obtain a feature point set containing a plurality of feature points; determining a change trend exhibited by the plurality of feature points; calculating difference information between the change trend and a pre-set standardized trend; obtaining offset information based on the difference information.

5. The method of claim 4, wherein, The step of determining the change trend exhibited by the plurality of feature points comprises: performing fitting processing on the plurality of feature points to obtain the change trend exhibited by the plurality of feature points.

6. The method of claim 4, wherein, The step of determining the change trend exhibited by the plurality of feature points further comprises: performing Fourier transform processing on the plurality of feature points to obtain frequency domain features corresponding to the plurality of feature points; determining the change trend exhibited by the plurality of feature points based on the frequency domain features.

7. The method of claim 2, wherein, The step of adjusting the anterior segment OCT image based on the offset information comprises: based on a spatial resolution of the OCT device, converting edge point coordinates corresponding to the edge information into two-dimensional point cloud data; determining a rotation angle corresponding to the plurality of anterior segment OCT images taken at different angles, and generating a rotation matrix based on the rotation angle; converting the two-dimensional point cloud data into three-dimensional point cloud data by using the rotation matrix; adjusting the three-dimensional point cloud data based on the offset information.

8. The method of claim 7, wherein, The method further comprises: performing fitting on the three-dimensional point cloud data after the adjustment to obtain a three-dimensional fitting result; calculating a difference value between the three-dimensional fitting result and the three-dimensional point cloud data before the adjustment; if the difference value is greater than a pre-set difference threshold value, iteratively adjusting the offset information until the difference value meets the difference threshold value.

9. An apparatus for adjusting an ocular anterior segment OCT image, characterized by comprising: The device comprises: an acquisition module configured to obtain an anterior segment OCT image obtained by an OCT device in a scanning mode, and extract edge information contained in the anterior segment OCT image; a determination module configured to determine offset information of the anterior segment OCT image based on the edge information; a registration module configured to adjust the anterior segment OCT image based on the offset information to obtain an adjusted image corresponding to the anterior segment OCT image.

10. An OCT apparatus, characterized by A controller of the OCT device is configured with the anterior segment OCT image adjustment device of claim 9.

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