Spine osteotomy planning method and system and computer readable storage medium

Abstract

The invention is suitable for the technical field of data processing, and relates to a spine osteotomy planning method and system and a computer readable storage medium, and the spine osteotomy planning method comprises the steps: obtaining an original CT image and an X-ray film image of a target object; correcting the original CT image according to the X-ray film image to obtain a target CT image; and performing osteotomy planning according to the target CT image, and obtaining an osteotomy CT image. The CT image and the X-ray film image of the spine are acquired, and the CT image is corrected by the X-ray film image, so that the corrected CT image corresponds to the posture of the spine of the target object in the standing state, and the problem that the posture of the spine of the target object in the standing state cannot be correctly reflected by the horizontally shot CT image is solved; the problem that the CT image cannot be directly or more accurately used for spine osteotomy planning is solved, and the osteotomy planning method which is more efficient, more accurate and wider in applicability is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of computer-assisted surgery, and in particular to a spinal osteotomy planning method, system, and computer-readable storage medium. Background Art

[0002] Spinal deformity is a disease in which the spine deviates from its normal position in the coronal, sagittal, or axial planes, resulting in abnormal morphology. It can manifest as a variety of complex deformities such as scoliosis, kyphosis, lordosis, and rotation. Spinal osteotomy is one of the most effective treatments for spinal deformity, but it is also a very difficult type of surgery, and usually requires very thorough preoperative planning before the operation. Before the operation, clinicians take upright full-spine anteroposterior and lateral X-rays of the patient, and the clinician reads the film and measures the Cobb angle to assess the degree of the patient's spinal deformity, thereby formulating a personalized surgical plan for the patient. Currently, most hospital clinicians still use manual measurement when reading films, using pencils and rulers to measure parameters on printed X-ray films. At the same time, they rely on clinical experience to simulate the patient's postoperative physiological curvature changes in their minds to complete the surgical plan. This traditional method is cumbersome and inconvenient, taking up much of the doctor's time and reducing clinical efficiency. It has poor accuracy and stability, and different doctors may measure and plan different results. It is highly dependent on clinical experience and can easily cause large errors, thereby creating greater risks and uncertainties in the actual operation stage during the operation. In addition, X-rays are two-dimensional images with limited information. Using two-dimensional images cannot cover scenarios where some special patients require asymmetric osteotomy. Summary of the Invention

[0003] Based on this, it is necessary to provide a spinal osteotomy planning method, system and computer-readable storage medium to address the problems of cumbersome and poor accuracy of preoperative spinal osteotomy planning.

[0004] In a first aspect, the present application proposes a spinal osteotomy planning method, comprising:

[0005] Acquire original CT images and X-ray images of the target object;

[0006] Correcting the original CT image according to the X-ray image to obtain the target CT image;

[0007] Osteotomy planning was performed based on the target CT image, and the osteotomy CT image was obtained.

[0008] In one embodiment, the method further includes: acquiring first parameter information based on the X-ray image.

[0009] In one embodiment, after osteotomy planning is performed according to the target CT image and the osteotomy CT image is obtained, the method further includes: obtaining a two-dimensional projection image of the osteotomy CT image, and obtaining second parameter information based on the two-dimensional projection image.

[0010] In one embodiment, the X-ray image includes an anteroposterior X-ray image and a lateral X-ray image.

[0011] In one embodiment, correcting the original CT image according to the X-ray image to obtain the target CT image includes: adjusting the original CT image with reference to the anteroposterior X-ray image and the lateral X-ray image, thereby obtaining the target CT image.

[0012] In one embodiment, adjusting the original CT image using the anteroposterior X-ray image and the lateral X-ray image as references includes:

[0013] Extracting a first correction feature point of each spinal vertebra in the original CT image, a second correction feature point of each spinal vertebra in the anteroposterior X-ray image, and a third correction feature point of each spinal vertebra in the lateral X-ray image;

[0014] Determining the anteroposterior feature points in the first correction feature points corresponding to each spinal vertebra, and adjusting the posture of the figure formed by the anteroposterior feature points of the corresponding spinal vertebra in the original CT image according to the posture of the figure formed by the second correction feature points of each spinal vertebra in the anteroposterior X-ray image, thereby completing the first posture adjustment of each spinal vertebra;

[0015] Determine the lateral feature points among the first correction feature points corresponding to each spinal vertebra, and adjust the posture of the figure formed by the lateral feature points of the corresponding spinal vertebra in the original CT image according to the posture of the figure formed by the third correction feature points of each spinal vertebra in the lateral X-ray image, thereby completing the second posture adjustment of each spinal vertebra.

[0016] In one embodiment, performing osteotomy planning based on the target CT image and obtaining the osteotomy CT image includes: displaying the target CT image and the osteotomy CT image in different views of the interface.

[0017] In one embodiment, the parameter information is information of preset parameters, and / or the parameter information is information of custom parameters.

[0018] In a second aspect, the present application proposes a spinal osteotomy planning system, the system comprising:

[0019] An acquisition module, the acquisition module is used to acquire CT images and X-ray images of the target object;

[0020] The correction module is used to correct the original CT image according to the X-ray image to obtain the target CT image;

[0021] The planning module is used to plan osteotomy according to the target CT image and obtain the osteotomy CT image.

[0022] In one embodiment, the system further includes a measurement module configured to measure physiological parameters of the spine based on the image.

[0023] In a third aspect, the present application proposes a computer-readable storage medium having a computer program stored thereon, which implements the steps of any of the above methods when the computer program is executed by a processor.

[0024] The above-mentioned spinal osteotomy planning method, system and computer-readable storage medium obtain CT images and X-ray images of the spine, and use the X-ray images to correct the CT images so that the corrected CT images correspond to the spinal posture of the target object in a standing state, thereby solving the problem that CT images taken in a horizontal position cannot correctly reflect the spinal posture of the target object when standing, and solve the problem that CT images cannot be used directly or more accurately for spinal osteotomy planning. The use of CT images can make the design of osteotomy planning schemes more intuitive and visual, and realize a more efficient, more accurate and more widely applicable osteotomy planning method. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0026] Figure 1 A schematic flow chart of a spinal osteotomy planning method according to an embodiment;

[0027] Figure 2a 、 2b FIG1 is a schematic diagram showing a method for correcting an original CT image based on an X-ray image in one embodiment;

[0028] Figure 3a 、 3b This is a rendering of osteotomy planning in one embodiment;

[0029] Figure 4 This is a diagram showing the effect of measuring physiological parameters based on images in one embodiment;

[0030] Figure 5 A schematic diagram of a spinal osteotomy planning system according to an embodiment;

[0031] Figure 6 FIG. 1 is a schematic diagram of a spinal osteotomy planning system according to another embodiment. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0033] It should be noted that the terms "first," "second," and the like in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the numbers used in this manner are interchangeable where appropriate so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure as detailed in the appended claims.

[0034] In one embodiment, the first aspect Figure 1 As shown, a flowchart of a spinal osteotomy planning method is provided. In this embodiment, the method includes the following steps:

[0035] Step S210, obtaining the original CT image and X-ray image of the target object;

[0036] The target object is the entire spine or part of the spine of the corresponding patient; the original CT image is a three-dimensional image captured and reconstructed by a CT imaging device, and the shooting method of the CT device limits the original CT image to an image of the corresponding patient in a lying state; the X-ray image is an image of the corresponding patient in a standing state obtained by a digital X-ray photography (Digital Radiography, DR) device.

[0037] Step S220, correcting the original CT image according to the X-ray image to obtain a target CT image;

[0038] Among them, because the original CT image is an image taken when the patient is lying down, there will be a significant difference between the state of the target object presented by the original CT image and the original state of the target object when the patient is standing up, that is, the original CT image cannot accurately reflect the state of the target object when the patient is standing normally. However, X-ray images are two-dimensional images and cannot be used for multi-angle visualization of osteotomy planning and its effect display. Therefore, the present application combines the advantages of the two images and uses X-ray images to correct the original CT image. The basis of the correction here is that the characteristic of the spine is that when the CT image and the X-ray image of the same patient are taken in the supine position, there are only differences in the relative positions of the vertebrae of the spine and the spatial posture of the vertebrae themselves. The vertebrae themselves are hard bone structures and their structural morphology will not change, so it is feasible and easy to adjust the relative positions and vertebral postures of the vertebrae according to the X-ray images. After correcting the original CT image with the X-ray image, a CT image in the standing state can be obtained, that is, the target CT image. The target CT image can accurately and more intuitively reflect the state of the target object, and the target CT image can be used for osteotomy planning at any angle, making osteotomy planning simple, intuitive and efficient.

[0039] Step S230: Perform osteotomy planning according to the target CT image and obtain an osteotomy CT image.

[0040] Among them, osteotomy planning is performed on the target CT image. First, a suitable viewing angle is selected according to the needs. The viewing angle is an arbitrary three-dimensional viewing angle of the target CT image. Then, under the viewing angle, the osteotomy tool is selected to perform osteotomy planning design such as osteotomy position and osteotomy angle. Figure 3a Finally, after confirming the osteotomy planning design, the computer calculates and visualizes the osteotomy effect diagram according to the osteotomy planning design, thereby obtaining the osteotomy CT image, and the screenshot CT image is as follows Figure 3b As shown, the user can adjust any angle in the osteotomy CT image to observe the osteotomy effect at any viewing angle.

[0041] Furthermore, the osteotomy CT image can be displayed on the target CT image, for example, by overlapping the osteotomy CT image with the target CT image below the osteotomy position, while the portion above the osteotomy position is displayed using the same or different colors and the same or different perspective effects, thereby showing the differences between before and after osteotomy in a single image. Alternatively, the osteotomy CT image can be displayed independently, for example, by overlaying the target CT image in the same view, allowing the user to undo or return to the previous step to redisplay the target CT image; for another example, the osteotomy CT image and the target CT image can be displayed in different views, thereby facilitating comparison of the differences between before and after osteotomy.

[0042] In an embodiment of the present application, two different images, the original CT image and the X-ray image of the target object, are respectively obtained, and the original CT image is cleverly used to correct the X-ray image, thereby obtaining a target CT image in a standing state, so that the target CT image can accurately and more intuitively reflect the state of the target object, thereby making the use of CT images for osteotomy planning more feasible and accurate.

[0043] In one embodiment, after performing osteotomy planning according to the target CT image and obtaining the osteotomy CT image, the method further includes: obtaining a two-dimensional projection image of the osteotomy CT image, and obtaining second parameter information according to the two-dimensional projection image.

[0044] Among them, after completing the osteotomy planning, the user needs to know some physiological parameters of the target object as a reference for the doctor to evaluate the patient's condition and confirm the surgical plan. Physiological parameters include scoliosis, Cobb angle of anteroposterior kyphosis, etc. Figure 4 As shown, Figure 4 Figure 1 shows the effects of measuring physiological parameters based on images in one embodiment. The method of this embodiment projects the osteotomy CT image to obtain a two-dimensional projection image. The corresponding projection plane can be selected based on the characteristics of the physiological parameters to obtain the two-dimensional projection image containing the desired physiological parameters. After obtaining the two-dimensional projection image, the computer automatically measures and visualizes the physiological parameter type selected by the user, or displays and outputs parameter values based on user-defined parameters, thereby obtaining second parameter information.

[0045] In another embodiment, the user may need to understand the original physiological parameters of the target object before osteotomy planning, and may need to compare at least one original physiological parameter with a physiological parameter corresponding to the original physiological parameter after osteotomy to evaluate the planning scheme. Therefore, the original physiological parameters of the target object before osteotomy planning need to be measured. The measurement of the original physiological parameters can be directly obtained by measuring an X-ray image, or by performing a two-dimensional projection of a target CT image and obtaining the original physiological parameters from the two-dimensional projection image, thereby obtaining first parameter information. This first parameter information can be selectively called to flexibly compare and display with the corresponding second parameter information after osteotomy, facilitating intuitive comparison by the user.

[0046] It should be noted that the first parameter information and the second parameter information are both preset parameter information, and / or the first parameter information and the second parameter information are both custom parameter information. The preset parameters can be determined according to actual needs and are not limited here.

[0047] In one embodiment, the X-ray image includes an anteroposterior X-ray image and a lateral X-ray image.

[0048] Among them, the anteroposterior and lateral positions are two mutually perpendicular orientations. The anteroposterior X-ray image is an image taken from the front of the patient, and the lateral X-ray image is an image taken from the side of the patient. Because the original CT image is a three-dimensional image, to correct the position between the vertebrae in the original CT image and the posture of each vertebra itself, it is necessary to know the state of each vertebra in at least two different directions in order to adjust the three-dimensional spatial posture of each vertebra; by using X-ray images taken in two directions, the state of each vertebra in two directions can be obtained, so that the correction of the original CT image can be achieved better and more accurately. Generally, when selecting different directions, two perpendicular directions are preferred. Of course, in some special embodiments, two directions with non-perpendicular angles can also be selected, but in this case, the reference base is more difficult to find during correction, the correction difficulty increases, and the accuracy decreases.

[0049] Furthermore, correcting the original CT image according to the X-ray image to obtain the target CT image includes:

[0050] In step S301 , the original CT image is adjusted with reference to the anteroposterior X-ray image and the lateral X-ray image, thereby obtaining the target CT image.

[0051] Among them, because each vertebra of the spine has a standard number in medicine, such as Figure 3a 、 3b As shown; when correcting the original CT image, you can select the first vertebra in order from the beginning to the end or select any one of the vertebrae as the first vertebra, such as Figure 3aAs shown, one end T4 can be selected as the first vertebra, or any one in the middle such as T8 can be selected as the first vertebra, so as to determine the three-dimensional first vertebra image corresponding to the first vertebra in the original CT image, as well as the two-dimensional first vertebra images corresponding to the first vertebra in the anteroposterior X-ray image and the lateral X-ray image; the three-dimensional first vertebra image is corrected for the first time according to the two-dimensional first vertebra image of the anteroposterior X-ray image, so that the posture of the first anteroposterior projection shape of the three-dimensional first vertebra image in the same direction as the anteroposterior position is the same as that of the two-dimensional first vertebra image of the anteroposterior X-ray image; the three-dimensional first vertebra image is corrected for the second time according to the two-dimensional first vertebra image of the lateral X-ray image, so that the posture of the first lateral projection shape of the three-dimensional first vertebra image in the same direction as the lateral position is the same as that of the two-dimensional first vertebra image of the lateral X-ray image, so that the posture of the three-dimensional first vertebra image is adjusted to the posture in the standing state through the two corrections. Then, a vertebra adjacent to the first vertebra is selected as the second vertebra, and the three-dimensional second vertebra image corresponding to the second vertebra in the original CT image, as well as the two-dimensional second vertebra images corresponding to the second vertebra in the anteroposterior X-ray image and the lateral X-ray image are similarly determined; the three-dimensional second vertebra image is first corrected based on the two-dimensional second vertebra image in the anteroposterior X-ray image, so that the posture of the anteroposterior second projection shape of the three-dimensional second vertebra image in the same direction as the anteroposterior position is the same as that of the two-dimensional second vertebra image in the anteroposterior X-ray image, and the anteroposterior second projection shape is relative to the anteroposterior first projection shape. The position is the same as the position of the two-dimensional second vertebra image in the frontal X-ray image relative to the two-dimensional first vertebra image, including the distance, angle, etc. Then, the three-dimensional second vertebra image is corrected for the second time based on the two-dimensional second vertebra image in the lateral X-ray image, so that the position of the three-dimensional second vertebra image in the lateral second projection shape in the same direction as the lateral position is the same as the two-dimensional second vertebra image in the lateral X-ray image, and the position of the second lateral projection shape relative to the first lateral projection shape is the same as the position of the two-dimensional second vertebra image in the lateral X-ray image relative to the two-dimensional first vertebra image. Similarly, the vertebrae adjacent to the second vertebra are corrected one by one until all vertebrae in the target object are corrected, thereby obtaining the target CT image.

[0052] For example, each vertebra in the original CT image is corrected one by one in order from the beginning to the end, for example Figure 3a As shown, the first vertebra is T4, the second vertebra is T5, the third vertebra is T6, and so on; if any vertebra is selected as the first vertebra, for example, T8 is selected as the first vertebra, then subsequent corrections will be performed in both the upper and lower directions of the T8 vertebra. For example, correction can be performed downward first, with T9 as the second vertebra, and then all the vertebrae below can be corrected in this way, and then correction can be performed upward, with T7 as the second vertebra, and all the vertebrae above can be corrected in this way; of course, correction can also be performed in two directions at the same time.

[0053] In one embodiment, adjusting the original CT image using the anteroposterior X-ray image and the lateral X-ray image as references includes:

[0054] Step S401, extracting the first correction feature point of each spinal vertebra in the original CT image, the second correction feature point of each spinal vertebra in the anteroposterior X-ray image, and the third correction feature point of each spinal vertebra in the lateral X-ray image;

[0055] The purpose of extracting feature points is to simplify the correction algorithm. The first correction feature points of the spinal vertebrae are a set of multiple representative feature points selected from the 3D image of the vertebrae or that can better correlate with the X-ray image, such as a set of at least four feature points consisting of at least two feature points selected from the vertebral projection contour when the vertebrae is projected from the anteroposterior direction and at least two feature points selected from the vertebral projection contour when the vertebrae is projected from the lateral direction. The second correction feature points are a set of feature points selected from the 2D image of the vertebrae in the anteroposterior X-ray image that can correspond to feature points related to the 3D CT image, such as feature points of each vertebra in the anteroposterior X-ray image selected at the same locations as feature points selected from the anteroposterior projection of the vertebrae. The third correction feature points are a set of feature points selected from the 2D image of the vertebrae in the lateral X-ray image that can correspond to feature points related to the 3D CT image, such as feature points of each vertebra in the anteroposterior X-ray image selected at the same locations as feature points selected from the anteroposterior projection of the vertebrae. All selected feature points are assigned different identifiers to facilitate subsequent correction.

[0056] For example, Figure 2a As shown in , the first calibration feature points of a vertebra include 8, which can be identified by numbers such as a, b, c, d, e, f, g, h. Figure 2b As shown, the second correction feature points corresponding to the vertebra in the anteroposterior X-ray image include 4, and the 4 feature points are at the same characteristic positions on the vertebra as the feature points a, b, c, and d in the first correction feature points. Therefore, in order to conveniently reflect the association relationship, the 4 feature points are labeled a', b', c', and d'; the third correction feature points corresponding to the vertebra in the lateral X-ray image include 4, and the 4 feature points are at the same characteristic positions on the vertebra as the feature points e, f, g, and h in the first correction feature points. Therefore, in order to conveniently reflect the association relationship, the 4 feature points are labeled e', f', g', and h'.

[0057] Step S402: determining the anteroposterior feature points of the first correction feature points corresponding to each spinal vertebra, and adjusting the posture of the figure formed by the anteroposterior feature points of the corresponding spinal vertebra in the original CT image according to the posture of the figure formed by the second correction feature points of each spinal vertebra in the anteroposterior X-ray image, thereby completing the first posture adjustment of each spinal vertebra;

[0058] Among them, the orthotopic feature points are feature points on the projection contour of the vertebra selected by projecting the vertebra from the orthotopic direction; because the orthotopic feature points and the second correction feature points represent the same position on the vertebra, and the relative positions between the vertebrae and the posture of the vertebrae themselves in the X-ray image are accurate, during correction, the orthotopic feature points are aligned with the second correction feature points to achieve the first position and / or posture adjustment of the vertebrae and complete the first posture adjustment of each vertebra.

[0059] For example, Figure 2a 、 2b As shown, the positive feature points are a, b, c, d, and the second correction feature points are a', b', c', d'. During correction, a is aligned with a', b is aligned with b', c is aligned with c', and d is aligned with d', that is, the posture of the quadrilateral formed by the positive feature points is aligned with the posture of the quadrilateral formed by the second correction feature points. The posture alignment here, if it is the first vertebra, is to adjust the angles between the sides of the quadrilateral formed by the positive feature points and the first horizontal and vertical directions to be equal to the angles between the corresponding sides of the quadrilateral formed by the second correction feature points and the first horizontal and vertical directions; if it is not the first vertebra, it is to adjust the angles between the sides of the quadrilateral formed by the positive feature points and the first horizontal and vertical directions to be equal to the angles between the corresponding sides of the quadrilateral formed by the second correction feature points and the first horizontal and vertical directions. At the same time, the positional relationship between the quadrilateral formed by the positive feature points of the vertebra and the quadrilateral formed by the positive feature points of the adjacent corrected vertebra is the same as the positional relationship between the quadrilateral formed by the second correction feature points of the vertebra and the quadrilateral formed by the second correction feature points of the adjacent corrected vertebra, that is, the posture of the vertebra itself and its position relative to other vertebrae are adjusted, and the position includes distance and angle. The vertical direction is the direction of human body height, the first horizontal direction is the direction perpendicular to the vertical direction and parallel to the front of the human body, and the vertical direction is reflected in the following. Figure 2a The first horizontal direction is parallel to the line connecting the ac feature points. Figure 2a The direction is parallel to the line connecting the feature points ab; the vertical direction is reflected in Figure 2b The height direction of the image in the anteroposterior X-ray image is the first horizontal direction, which is reflected in the following example: Figure 2b The center-center X-ray image is the width direction of the image. Among them, the center-center feature points and the second correction feature points can also be displayed in highlight and color during visualization;

[0060] Step S403, determine the lateral feature points in the first correction feature points corresponding to each spinal vertebra, and adjust the posture of the figure formed by the lateral feature points of the corresponding spinal vertebra in the original CT image according to the posture of the figure formed by the third correction feature points of each spinal vertebra in the lateral X-ray image, thereby completing the second posture adjustment of each spinal vertebra.

[0061] Among them, the lateral feature points are feature points on the vertebral projection contour selected by projecting the vertebra from the lateral direction; the lateral feature points are at the same position on the vertebra represented by the third correction feature points, and the relative positions between the vertebrae and the posture of the vertebrae themselves in the X-ray image are accurate; therefore, during correction, the lateral feature points are aligned with the third correction feature points to achieve a second position and / or posture adjustment of the vertebrae, thereby completing the second posture adjustment of each vertebra. Through the first posture adjustment and the second posture adjustment, the relative positions between the vertebrae and the posture of the vertebrae themselves are finally adjusted to the state when standing, completing the correction of the original CT image and obtaining the target CT image.

[0062] For example, Figure 2a 、 2b As shown, the lateral feature points are e, f, g, and h, and the third correction feature points are e', f', g', and h'. During correction, e is aligned with e', f is aligned with f', g is aligned with g', and h is aligned with h', that is, the posture of the quadrilateral formed by the lateral feature points is aligned with the posture of the quadrilateral formed by the third correction feature points. The posture alignment here, if it is the first vertebra, is to adjust the angles between the sides of the quadrilateral formed by the lateral feature points and the second horizontal and vertical directions to be equal to the angles between the corresponding sides of the quadrilateral formed by the third correction feature points and the second horizontal and vertical directions; if it is not the first vertebra, it is to adjust the angles between the sides of the quadrilateral formed by the lateral feature points and the second horizontal and vertical directions to be equal to the angles between the corresponding sides of the quadrilateral formed by the third correction feature points and the second horizontal and vertical directions. At the same time, the positional relationship between the quadrilateral formed by the lateral feature points of the vertebra and the quadrilateral formed by the lateral feature points of the adjacent corrected vertebra is the same as the positional relationship between the quadrilateral formed by the third correction feature points of the vertebra and the quadrilateral formed by the third correction feature points of the adjacent corrected vertebra, that is, the posture of the vertebra itself and its position relative to other vertebrae are adjusted, and the position includes distance and angle. The second horizontal direction is a direction perpendicular to the vertical direction and perpendicular to the front of the human body. The second horizontal direction is reflected in the following example. Figure 2a The vertical direction is reflected in the direction parallel to the line connecting the ef feature points. Figure 2b The height direction of the image in the mediolateral X-ray image is the second horizontal direction, which is reflected in the following example: Figure 2b The center of the anteroposterior X-ray image is the width direction of the image.

[0063] The osteotomy planning method of any of the above-mentioned embodiments corrects the original CT image by using at least an anteroposterior X-ray image and a lateral X-ray image, so that the CT image can accurately reflect the state of the target object in a standing state, making the use of CT images for osteotomy planning more accurate and intuitive, and providing a spinal physiological parameter measurement function and a visualization function, and this function can measure the spinal physiological parameters before and / or after osteotomy, which is convenient for evaluating the osteotomy plan from a parameter perspective.

[0064] In a second aspect, in one embodiment, Figure 5 As shown, the present application proposes a spinal osteotomy planning system, the system comprising:

[0065] The acquisition module 20 is used to acquire the original CT image and X-ray image of the target object; wherein the acquisition module acquires the CT image and / or X-ray image of the corresponding patient from the user input terminal or from the image database,

[0066] Correction module 30, correction module 30 is used to correct the original CT image according to the X-ray image to obtain the target CT image; wherein, the correction module 30 receives the original CT image and the X-ray image acquired by the acquisition module, and performs analysis, comparison and other processing to correct the original CT image using the X-ray image to obtain the target CT image.

[0067] The planning module 40 is used to plan osteotomy according to the target CT image and obtain the osteotomy CT image; wherein the planning module 40 receives the target CT image corrected by the correction module, and completes the osteotomy planning and osteotomy calculation on the target CT image according to the user's operations such as osteotomy position and osteotomy angle, and obtains the osteotomy CT image.

[0068] In one embodiment, see Figure 6 ,like Figure 6 As shown, the system further includes a measurement module 50 for measuring spinal physiological parameters based on images. The measurement module 50 can be invoked after the acquisition module 20 to measure the user's desired spinal physiological parameters from the original CT image or X-ray image. It can also be invoked after the planning module 40 to measure the desired spinal physiological parameters from the osteotomy CT image. The measurement module 50 can measure CT images to obtain relevant physiological parameters, or process X-ray images to obtain the corresponding physiological parameters contained in the X-ray.

[0069] In one embodiment, the above system also includes: a display module, which is used to display various information that needs to be presented visually; such as receiving the visual display of original CT images, X-ray images, target CT images, osteotomy CT images, physiological parameters, functional modules, etc.

[0070] In one embodiment, the correction module includes: a feature extraction unit, a feature registration unit;

[0071] The feature extraction unit extracts required feature points from the original CT image and the X-ray image. The required feature points are extracted according to preset rules.

[0072] The feature registration unit is used to perform feature matching and alignment based on the features extracted from the original CT image and the X-ray image, so as to adjust the position and posture of the corresponding feature points in the original CT image according to the feature points in the X-ray image, thereby achieving the purpose of adjusting the vertebral posture.

[0073] In a third aspect, the present application proposes a computer-readable storage medium having a computer program stored thereon, which implements the steps of any of the above methods when the computer program is executed by a processor.

[0074] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0075] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0076] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0077] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A spinal osteotomy planning method, characterized in that: The planning method includes: Acquire original CT images and X-ray images of the target object; Correcting the original CT image according to the X-ray image to obtain a target CT image; Osteotomy planning is performed according to the target CT image, and an osteotomy CT image is obtained.

2. The spinal osteotomy planning method according to claim 1, wherein: The planning method further includes: acquiring first parameter information according to the X-ray image.

3. The spinal osteotomy planning method according to claim 1, wherein: After performing osteotomy planning according to the target CT image and obtaining the osteotomy CT image, the method further includes: obtaining a two-dimensional projection image of the osteotomy CT image, and obtaining second parameter information according to the two-dimensional projection image.

4. The spinal osteotomy planning method according to claim 1, wherein: The X-ray images include an anteroposterior X-ray image and a lateral X-ray image.

5. The spinal osteotomy planning method according to claim 4, wherein: Correcting the original CT image according to the X-ray image to obtain a target CT image includes: adjusting the original CT image with reference to the anteroposterior X-ray image and the lateral X-ray image, thereby obtaining the target CT image.

6. The spinal osteotomy planning method according to claim 5, wherein: The adjusting the original CT image with reference to the anteroposterior X-ray image and the lateral X-ray image respectively includes: Extracting a first correction feature point of each spinal vertebra in the original CT image, a second correction feature point of each spinal vertebra in the anteroposterior X-ray image, and a third correction feature point of each spinal vertebra in the lateral X-ray image; Determining an anteroposterior feature point among the first correction feature points corresponding to each spinal vertebra, and adjusting the posture of the figure formed by the anteroposterior feature points of the corresponding spinal vertebra in the original CT image according to the posture of the figure formed by the second correction feature points of each spinal vertebra in the anteroposterior X-ray image, thereby completing the first posture adjustment of each spinal vertebra; Determine the lateral feature points among the first correction feature points corresponding to each of the spinal vertebrae, and adjust the posture of the figure formed by the lateral feature points of the corresponding spinal vertebrae in the original CT image according to the posture of the figure formed by the third correction feature points of each of the spinal vertebrae in the lateral X-ray image, thereby completing the second posture adjustment of each of the spinal vertebrae.

7. The spinal osteotomy planning method according to claim 2 or 3, wherein: The parameter information is information of preset parameters, and / or the parameter information is information of custom parameters.

8. A spinal osteotomy planning system, characterized in that: The system comprises: An acquisition module, configured to acquire a CT image and an X-ray image of a target object; a correction module, configured to correct the CT image according to the X-ray image to obtain a target CT image; A planning module is used to perform osteotomy planning according to the target CT image and obtain an osteotomy CT image.

9. The osteotomy planning system according to claim 8, wherein: The system further comprises: A measurement module is used to measure physiological parameters of the spine based on the image.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the spinal osteotomy planning method according to any one of claims 1 to 7 is implemented.

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