A method of ultrasound imaging of a hip joint and a hip imaging system

Abstract

Disclosed are an ultrasound imaging method of a hip joint and a hip joint imaging system for improving the intuitiveness of an image. The ultrasound imaging method of the hip joint comprises: emitting an ultrasound wave to a target hip joint; receiving an ultrasound echo of the target hip joint; determining at least one sectional view of the target hip joint according to the ultrasound echo; analyzing the at least one sectional view to obtain analysis data of the at least one sectional view, wherein the analysis data is used to measure the standard degree of the sectional view; determining a standard sectional view from the at least one sectional view according to the analysis data; and displaying the standard sectional view and the analysis data of the standard sectional view.

Description

[0001] This application is a divisional application of the invention patent application filed on July 30, 2019, with application number 201910695726.4 and invention title "An Ultrasonic Imaging Method and Hip Joint Imaging System for a Hip Joint". Technical Field

[0002] This application relates to the field of medical devices, and more particularly to an ultrasound imaging method and a hip joint imaging system. Background Technology

[0003] The Graf method is the most commonly used ultrasound assessment method for developmental dysplasia of the hip (DDH). It is a static ultrasound method for DDH examination, pioneered by the Austrian scholar Graf. This method has advantages such as standardization, reproducibility, and objective reference indicators, and is therefore widely used worldwide, especially in German-speaking European countries. The Graf method requires obtaining a standard coronal section of the hip joint for measurement. The long axis of the probe must be parallel to the body's axis (probe tilt may lead to overdiagnosis), and a standard coronal image of the hip joint must be obtained at the greater trochanter of the femur. Furthermore, the coronal section image must meet certain structural conditions; otherwise, it cannot be used.

[0004] Therefore, high precision is required for the cross-sectional images during DDH ultrasound examinations using the Graf method; if the cross-section is not standard, measurement deviations will occur. Thus, obtaining more accurate cross-sectional images has become an urgent problem to be solved. Summary of the Invention

[0005] This application provides an ultrasound imaging method and a hip joint imaging system to improve the intuitiveness of ultrasound imaging.

[0006] The first aspect of this application provides an ultrasound imaging method for a hip joint, comprising: emitting ultrasound waves toward a target hip joint via a two-dimensional probe; receiving ultrasound echoes from the target hip joint; determining at least one cross-sectional view of the target hip joint based on the ultrasound echoes; analyzing the at least one cross-sectional view to obtain analytical data for the at least one cross-sectional view, wherein the analytical data is used to measure the standardization of the cross-sectional view; determining a standard cross-sectional view from the at least one cross-sectional view based on the analytical data; and displaying the standard cross-sectional view and the analytical data for the standard cross-sectional view.

[0007] A second aspect of this application provides an ultrasound imaging method for a hip joint, comprising: acquiring at least one cross-sectional image of a target hip joint; analyzing the at least one cross-sectional image to obtain analytical data of the at least one cross-sectional image, wherein the analytical data is used to measure the standardization of the cross-sectional image; determining a standard cross-sectional image from the at least one cross-sectional image based on the analytical data; and displaying the standard cross-sectional image; wherein the standard cross-sectional image includes at least one of the following features of the target hip joint: a hyperechoic area below the target hip joint is the femoral epiphyseal plate; the center of the target hip joint is the femoral head; the lateral aspect of the femoral head of the target hip joint is sequentially surrounded by a hyperechoic synovial fold, a joint capsule, a labrum, and a hypoechoic cartilaginous acetabulum, and gradually extends above the femoral head to a hyperechoic bony acetabular rim.

[0008] A third aspect of this application provides an ultrasound imaging method for a hip joint, comprising: receiving an image acquisition instruction for a target hip joint; acquiring at least one cross-sectional image of the target hip joint from a database according to the image acquisition instruction; analyzing the at least one cross-sectional image to obtain analysis data of the at least one cross-sectional image, wherein the analysis data is used to measure the standardization of the cross-sectional image; determining a standard cross-sectional image from the at least one cross-sectional image based on the analysis data; and displaying the standard cross-sectional image and the analysis data of the standard cross-sectional image.

[0009] A fourth aspect of this application provides an ultrasound imaging method for a hip joint, comprising: acquiring at least one cross-sectional image of a target hip joint; acquiring analysis data of the at least one cross-sectional image, wherein the analysis data is used to measure the standardization of the cross-sectional image; displaying the at least one cross-sectional image in a first display area of ​​an image display interface; and displaying the analysis data in a second display area of ​​the image display interface.

[0010] The fifth aspect of this application provides a hip joint imaging system, including: a two-dimensional probe, a transmit / receive sequence circuit, a processor, and a display;

[0011] Transmit / receive sequence circuitry is used to excite a two-dimensional probe to emit ultrasonic waves toward the target hip joint and to receive ultrasonic echoes from the target hip joint.

[0012] A processor for determining at least one cross-sectional view of a target hip joint based on ultrasound echoes;

[0013] The processor is also configured to analyze at least one cross-section to obtain analysis data for at least one cross-section, wherein the analysis data is used to measure the standardization of the cross-section;

[0014] The processor is also used to determine a standard cross-section from at least one cross-section based on the analysis data;

[0015] A display used to show standard cross-sectional plots and analytical data from those plots.

[0016] The sixth aspect of this application provides a hip joint imaging system, including: a processor and a display;

[0017] The processor is used to acquire at least one cross-sectional view of the target hip joint;

[0018] The processor is further configured to analyze the at least one cross-sectional image to obtain analysis data of the at least one cross-sectional image, wherein the analysis data is used to measure the standardization of the cross-sectional image;

[0019] The processor is further configured to determine a standard cross-section from the at least one cross-section based on the analysis data;

[0020] The display is used to display the standard cross-sectional view;

[0021] The standard cross-sectional view includes at least one of the following features of the target hip joint:

[0022] The strong echo below the target hip joint is the femoral epiphyseal plate;

[0023] The center of the target hip joint is the femoral head;

[0024] The outer side of the femoral head of the target hip joint is successively surrounded by a hyperechoic synovial fold, joint capsule, labrum, and hypoechoic cartilaginous acetabulum, and gradually extends above the femoral head to a hyperechoic bony acetabular rim.

[0025] A seventh aspect of this application provides a hip joint imaging system, including: an input device, a processor, and a display;

[0026] Input device for receiving instructions to acquire images of the target hip joint;

[0027] A processor for retrieving at least one cross-sectional image of a target hip joint from a database according to image acquisition instructions;

[0028] The processor is also configured to analyze at least one cross-section to obtain analysis data for at least one cross-section, wherein the analysis data is used to measure the standardization of the cross-section;

[0029] The processor is also used to determine a standard cross-section from at least one cross-section based on the analysis data;

[0030] A display used to show standard cross-sectional plots and analytical data from those plots.

[0031] The eighth aspect of the application provides a hip joint imaging system, including: a processor and a display;

[0032] A processor for acquiring at least one cross-sectional view of the target hip joint;

[0033] The processor is also configured to acquire analytical data for at least one cross-section, wherein the analytical data is used to measure the standardization of the cross-section;

[0034] A display for displaying at least one cross-sectional view in a first display area of ​​an image display interface;

[0035] The monitor is also used to display analytical data in a second display area of ​​the image display interface.

[0036] The ninth aspect of this application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the ultrasound imaging method of the hip joint provided in the first aspect.

[0037] The tenth aspect of this application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the ultrasound imaging method for the hip joint provided in the second aspect above.

[0038] The eleventh aspect of this application provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the ultrasound imaging method for the hip joint provided in the third aspect above.

[0039] In this application, ultrasound waves can be emitted towards a target hip joint to obtain ultrasound echo signals; then, at least one cross-sectional image of the target hip joint is obtained based on the ultrasound echo signals. Analysis is performed on the at least one cross-sectional image to obtain analytical data for the at least one cross-sectional image, wherein the analytical data can be used to measure the standardization of the at least one cross-sectional image. A standard cross-sectional image is determined from the at least one cross-sectional image based on the analytical data, and the standard cross-sectional image and corresponding analytical data are displayed. Therefore, by analyzing the obtained at least one cross-sectional image to obtain analytical data measuring the standardization of the cross-sectional image, and determining the standard cross-sectional image based on the analytical data, a more standard cross-sectional image can be determined as the standard cross-sectional image. Compared to manually selecting the standard cross-sectional image, this application embodiment, based on analytical data that can measure the standardization of each cross-sectional image, can more directly select a cross-sectional image with a higher degree of standardization as the standard cross-sectional image, and can obtain a standard cross-sectional image with a higher degree of standardization. Attached Figure Description

[0040] Figure 1 A schematic diagram of a possible hip joint imaging system provided in this application embodiment;

[0041] Figure 2 This is a schematic diagram of a possible probe structure provided in an embodiment of this application;

[0042] Figure 3 A possible flowchart of an ultrasound imaging method for the hip joint provided in an embodiment of this application;

[0043] Figure 4 A cross-sectional view schematic diagram of a possible ultrasound imaging method for the hip joint provided in the embodiments of this application;

[0044] Figure 5 Another cross-sectional view schematic diagram of a possible ultrasound imaging method for the hip joint provided in the embodiments of this application;

[0045] Figure 6 Another cross-sectional view schematic diagram of a possible ultrasound imaging method for the hip joint provided in the embodiments of this application;

[0046] Figure 7 Another cross-sectional view schematic diagram of a possible ultrasound imaging method for the hip joint provided in the embodiments of this application;

[0047] Figure 8 A schematic diagram of another possible flow of the ultrasound imaging method for the hip joint provided in the embodiments of this application;

[0048] Figure 9 A schematic diagram of another possible process for the ultrasound imaging method of the hip joint provided in the embodiments of this application;

[0049] Figure 10 Another cross-sectional view schematic diagram of a possible ultrasound imaging method for the hip joint provided in the embodiments of this application;

[0050] Figure 11 Another cross-sectional view schematic diagram of a possible ultrasound imaging method for the hip joint provided in the embodiments of this application;

[0051] Figure 12 This is a schematic diagram of another possible process for the ultrasound imaging method of the hip joint provided in the embodiments of this application. Detailed Implementation

[0052] This application provides an ultrasound imaging method and a hip joint imaging system to improve the intuitiveness of ultrasound imaging.

[0053] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0054] Figure 1 This is a schematic block diagram of the hip joint imaging system 10 according to an embodiment of this application. The hip joint imaging system 10 may include a probe 100, which may be an ultrasound probe, a transmit / receive selection switch 101, a transmit / receive sequence controller 102, a processor 103, a display 104, and a memory 105. The transmit / receive sequence controller 102 can excite the ultrasound probe 100 to emit ultrasound waves towards the target tissue, and can also control the ultrasound probe 100 to receive ultrasound echoes returned from the target tissue, thereby obtaining ultrasound echo signals / data. The processor 103 processes the ultrasound echo signals / data to obtain tissue-related parameters and ultrasound images of the target tissue. The ultrasound images obtained by the processor 103 can be stored in the memory 105, and these ultrasound images can be displayed on the display 104.

[0055] In this embodiment, the display 104 of the aforementioned hip imaging system 10 can be a touch screen, a liquid crystal display, or an independent display device such as a liquid crystal display or a television set, which is separate from the hip imaging system 10. It can also be a display screen on an electronic device such as a mobile phone or a tablet computer.

[0056] In one optional embodiment of this application, the acoustic head portion of the probe 100 can be an array of multiple array elements, wherein there are two or more array elements. The array elements can be used to convert electrical signals into ultrasonic waves, transmit ultrasonic waves, and receive returned ultrasonic echoes, converting the ultrasonic echoes back into electrical signals to obtain ultrasonic echo data / signals. Each array element transmits ultrasonic waves or receives ultrasonic echoes by receiving the transmission signal from the transmitting circuit and the reception signal from the receiving circuit. Specifically, the scenario in which the probe 100 transmits ultrasonic waves can be as follows: Figure 2 As shown, the array elements inside the probe 100 send ultrasonic waves to the target hip joint and receive ultrasonic echoes returning from the target hip joint.

[0057] It should be understood that in the embodiments of this application, the probe 100 is a two-dimensional probe in order to reduce costs.

[0058] In one alternative implementation, probe 100 is a non-volume probe.

[0059] In one alternative implementation, the probe 100 is a linear array probe or a convex array probe, etc.

[0060] In one optional embodiment of this application, the memory 105 of the aforementioned ultrasound imaging device 10 may be a flash memory card, solid-state memory, hard disk, etc.

[0061] In one optional embodiment of this application, a computer-readable storage medium is also provided, which stores a plurality of program instructions. After being called and executed by the processor 103, the plurality of program instructions can execute some or all of the steps or any combination of the steps in the ultrasound imaging method of the hip joint in various embodiments of this application.

[0062] In one optional embodiment of this application, the computer-readable storage medium may be a memory 105, which may be a non-volatile storage medium such as a flash memory card, a solid-state memory, or a hard disk.

[0063] In an optional embodiment of this application, the aforementioned ultrasound imaging device 10 may further include various input devices, such as a mouse, keyboard, touch screen, etc., for inputting instructions so that the processor 103 can execute corresponding steps according to the input instructions.

[0064] In one optional embodiment of this application, the processor 103 of the aforementioned ultrasound imaging device 10 can be implemented by software, hardware, firmware, or a combination thereof. It can use circuits, one or more application-specific integrated circuits (ASICs), one or more general-purpose integrated circuits, one or more microprocessors, one or more programmable logic devices, or a combination of the aforementioned circuits or devices, or other suitable circuits or devices, so that the processor 103 can execute the corresponding steps of the ultrasound imaging method of the hip joint in the various embodiments of this application.

[0065] The following is a detailed description of the ultrasound imaging method for the hip joint in this application. The embodiments of this application provide an ultrasound imaging method for the hip joint, which is applied to a hip joint imaging system 10, and is particularly suitable for a hip joint imaging system 10 that includes a touch screen display, so that touch screen operations can be input by contacting the touch screen display.

[0066] Please see Figure 3 The embodiments of the ultrasound imaging method for the hip joint in this application include:

[0067] 301. Emit ultrasound waves toward the target hip joint.

[0068] Among them, based on the aforementioned Figure 1 The hip imaging system 10 in the middle can send ultrasound waves to the target hip joint through a two-dimensional probe.

[0069] Typically, a two-dimensional probe can be used to emit ultrasound waves towards the target hip joint from a preset angle or distance. For example, a two-dimensional probe can be moved along the surface of the target hip joint to emit ultrasound waves from different positions or angles.

[0070] 302. Receive the ultrasound echo from the target hip joint.

[0071] In this system, after transmitting ultrasound waves to the target hip joint through a two-dimensional probe, the ultrasound echo returning from the target hip joint is also received through the two-dimensional probe.

[0072] For example, if a two-dimensional probe is moved along the surface of the target hip joint and ultrasonic waves are emitted towards the target hip joint from different positions or angles, the two-dimensional probe can also receive the ultrasonic echoes returned by the target hip joint from different positions or angles.

[0073] 303. Determine at least one cross-sectional view of the target hip joint based on the ultrasound echo.

[0074] Specifically, after receiving the ultrasound echo returned from the target hip joint, at least one cross-sectional view of the target hip joint is determined based on the ultrasound echo.

[0075] In one possible implementation, after receiving an ultrasound echo returned from the target hip joint, at least one two-dimensional ultrasound image of the target hip joint is generated based on the ultrasound echo, and then at least one cross-sectional view is determined from the at least one two-dimensional ultrasound image.

[0076] Specifically, after obtaining at least one two-dimensional ultrasound image, the at least one two-dimensional ultrasound image can be filtered, and ultrasound images that do not meet preset conditions can be deleted to obtain at least one cross-sectional image of the target hip joint. For example, ultrasound images that do not include the target hip joint can be deleted, or ultrasound images that include too few features of the target hip joint can be deleted to obtain at least one cross-sectional image of the target hip joint.

[0077] In another possible implementation, after receiving the ultrasound echo returned from the target hip joint, at least one two-dimensional ultrasound image of the target hip joint is generated based on the ultrasound echo. Furthermore, a sensor may be attached to the two-dimensional probe to acquire the position information of the two-dimensional probe. By combining the at least one two-dimensional ultrasound image with the position information, volumetric data of the target hip joint can be obtained. Then, at least one cross-sectional view of the target hip joint is determined from the volumetric data of the target hip joint.

[0078] Specifically, the sensor can be a magnetic field-based sensor, an inertial sensor, or an accelerometer, etc. When ultrasound waves are emitted towards the target hip joint through a two-dimensional probe, the sensor determines the probe's position change. Then, based on the position change of the two-dimensional probe and the returned ultrasound waves, volumetric data of the target hip joint is constructed. For example, if the distance between the sensor and the two-dimensional probe is known, the sensor can return the angle value of the probe's change. Based on the angle change of the two-dimensional probe, the position change of the probe and the sensor can be determined. Then, combined with the ultrasound echoes received by the two-dimensional probe at different positions, the corresponding ultrasound images at different positions are determined, thus constructing the volumetric data of the target hip joint. After obtaining the volumetric data, at least one cross-sectional view can be obtained from it. For example, the volumetric data of the target hip joint can be understood as a three-dimensional image of the target hip joint. The target axis can be determined, and then the target hip joint in the volumetric data can be rotated and cut along a preset direction to obtain the at least one cross-sectional view; or, the volumetric data of the target hip joint can be cut parallel to obtain the at least one cross-sectional view. Therefore, in this embodiment of the application, a sensor can be set on a two-dimensional probe to construct volume data of the target hip joint, thereby obtaining at least one cross-sectional view including the features of the target hip joint. The obtained cross-sectional view is more standardized and reduces the error of manually obtaining cross-sectional views.

[0079] In one alternative implementation, after obtaining at least one cross-sectional view of the target hip joint, the at least one cross-sectional view can also be displayed on a monitor. For example, if an ultrasound wave is emitted to the target hip joint through a two-dimensional probe and the ultrasound echo returned by the target hip joint is received, and an ultrasound image is generated based on the ultrasound echo, the ultrasound image can be displayed on the monitor in real time, allowing the user to visually observe the morphology of the target hip joint.

[0080] 304. Analyze at least one cross-sectional view to obtain analysis data for at least one cross-sectional view.

[0081] Specifically, after obtaining at least one cross-sectional view of the target hip joint, the at least one cross-sectional view is analyzed to obtain analytical data. This analytical data is used to measure the standardization of the cross-sectional view.

[0082] Specifically, the standardization of a cross-sectional image can be assessed by determining whether each feature in the image is a standard feature. For example, features in a standard cross-sectional image of a target hip joint may include: the hyperechoic area below the target hip joint is the junction of cartilage and bone (femoral epiphyseal plate); the center of the target hip joint is the femoral head, which appears as an oval hypoechoic area with scattered punctate moderate echoes; the lateral side of the femoral head is successively surrounded by hyperechoic synovial folds, joint capsule, labrum, and hypoechoic cartilaginous acetabulum, gradually extending above the femoral head to the hyperechoic bony acetabular rim.

[0083] In one optional implementation, at least one standard probability value for a cross-section can be determined using deep learning. This standard probability value is directly proportional to the standardization level of the cross-section. The standard probability value of the at least one cross-section is then used as the analysis data for that at least one cross-section. The deep learning method used in this embodiment can be a classification network, convolutional neural network, recurrent neural network, recurrent neural network, or other deep learning techniques. Specifically, a large number of standard cross-sections can be used to train the model first, obtaining the parameters of each tissue feature of the standard cross-section. Then, after obtaining the at least one cross-section, it is substituted into the model to obtain the analysis data for the at least one cross-section. In practical applications, the specific deep learning method used can be adjusted according to the actual application scenario; this is merely an example and not a limitation.

[0084] Therefore, in this embodiment, the probability of at least one cross-section being a standard cross-section can be determined. This allows for the subsequent determination of at least one cross-section based on the probability of it being a standard cross-section, leading to a more accurate determination of the standardization of the at least one cross-section and making the determined standard cross-section more standardized. Furthermore, by training the model with a large number of standard cross-sections, a pre-defined standard cross-section model can be obtained, and further learning can be performed using subsequent standard images. Thus, the trained model can output the probability of at least one cross-section being a standard cross-section.

[0085] In another optional implementation, tissue features of each of the at least one cross-sectional images are detected; based on the morphology of the tissue features of each cross-sectional image and the preset weight information of each tissue feature, a standard score for each cross-sectional image is determined, the standard score being directly proportional to the standardization degree of each cross-section; the standard score of each cross-sectional image is used as the analysis data for each cross-sectional image. For example, if a cross-sectional image is detected to include only feature 1 of the target hip joint (femoral head at the center of the hip joint) and feature 2 (strong echo below the hip joint being the junction of cartilage and bone), with a weight value of 0.2 for feature 1 and 0.2 for feature 2, then the standardization degree score of that cross-sectional image can be 0.4. Therefore, in this embodiment, the standardization degree of at least one cross-sectional image can be scored to obtain a standard score value that measures the standardization degree of at least one cross-sectional image, allowing for a more accurate determination of the standardization degree of at least one cross-sectional image and making the determined standard cross-sectional image more standard.

[0086] Specifically, when the analysis data includes a standard score for at least one cross-sectional image, the specific analysis process may be as follows: After obtaining at least one cross-sectional image, detect the tissue features included in the at least one cross-sectional image, such as the cartilage-bone junction, femoral head, lower border of the ilium, etc. N features need to be detected, where N is a positive integer; for example, the value of N can be the number of tissue features included in the standard cross-sectional image. Then, based on the location, size, morphology, etc., of each detected tissue feature, determine the score for each tissue feature. i Then, based on the first preset formula, calculate the standard score f of at least one cross-sectional image. view The preset formula can be, Among them, W i These are the weight values ​​for each organizational feature, and can be preset.

[0087] It should be understood that, in the embodiments of this application, in addition to measuring the standard degree of a cross-section by the aforementioned standard score value and the probability of being a standard cross-section, the standard degree of at least one cross-section can also be measured by whether the cross-section includes a preset tissue feature outline, or whether the tissue feature conforms to a preset shape, etc. The specific method can be adjusted according to the actual application scenario, and is not limited here.

[0088] In one optional implementation, after obtaining the analysis data for each cross-sectional view, each cross-sectional view and its corresponding analysis data can be displayed on a monitor. This allows the user to visually observe the cross-sectional views and analysis data of the target hip joint.

[0089] 305. Determine the standard section view from at least one section view based on the analysis data.

[0090] After obtaining analytical data from at least one cross-sectional view, at least one standard cross-sectional view is determined from the at least one cross-sectional view based on the analytical data. The at least one standard cross-sectional view can be one standard cross-sectional view or multiple standard cross-sectional views, where "multiple" refers to two or more. The at least one standard cross-sectional view can be understood as a cross-sectional view with a standardization degree greater than a threshold, and the standardization degree can be measured by the analytical data. In this application, the standard cross-sectional view can also be referred to as a coronal cross-sectional view.

[0091] In one alternative implementation, when a standard cross-section is determined, the cross-section with the highest degree of standardization can be selected as the standard cross-section after obtaining analytical data measuring the standardization of at least one cross-section. For example, if the analytical data includes standard score values ​​for at least one cross-section, the cross-section with the highest standard score value can be selected as the standard cross-section. Alternatively, if the analytical data includes the probability that at least one cross-section is a standard cross-section, the cross-section with the highest probability of being a standard cross-section can be selected as the standard cross-section. Therefore, in this embodiment, the cross-section with the highest degree of standardization among at least one cross-section can be selected as the standard cross-section, resulting in the highest degree of standardization. Compared to manual measurement, this reduces measurement error and determines the most standard cross-section.

[0092] In one alternative implementation, when multiple standard cross-sectional views are determined, after obtaining analytical data measuring the standardization of at least one cross-sectional view, a predetermined number of cross-sectional views with a standardization level higher than a threshold are selected as the multiple standard cross-sectional views. For example, if the analytical data includes standard score values ​​for at least one cross-sectional view, then cross-sectional views with standard score values ​​higher than a threshold can be selected as the standard cross-sectional views. As another example, if the analytical data includes the probability that at least one cross-sectional view is a standard cross-sectional view, then a predetermined number of cross-sectional views with a probability of being a standard cross-sectional view higher than a threshold can be selected as the standard cross-sectional views. Therefore, in this embodiment, multiple standard cross-sectional views can be determined, and multiple standard cross-sectional views can be used simultaneously for more accurate observation of the target hip joint.

[0093] In one optional implementation, the number of standard cross-sectional images can be determined based on user input data. Specifically, before determining the standard cross-sectional images, user input data can be received, and the number of standard cross-sectional images can be determined based on this input data. For example, based on the user input data, the number of standard cross-sections is determined to be M, where M is a positive integer. Then, from the at least one obtained cross-sectional image, M cross-sectional images with a standardization level higher than a threshold are determined as standard cross-sectional images. When M=1, the cross-sectional image with the highest standardization level can be directly determined from the at least one cross-sectional image as the standard cross-sectional image. For another example, this preset number can be determined by user input. When the user sets it to single-output mode, i.e., M=1, only one cross-sectional image with the highest standardization level is determined as the standard cross-section. When the user sets it to multi-output mode, multiple cross-sectional images with high standardization levels can be determined for the user to choose from. Therefore, in this embodiment, the number of output standard cross-sectional images can be controlled by the user, resulting in more standard cross-sectional images for a more comprehensive observation of the target hip joint.

[0094] 306. Display the standard cross-sectional view and the analysis data of the standard cross-sectional view.

[0095] Once the standard cross-section is obtained, the standard cross-section and the corresponding analysis data can be displayed on the monitor.

[0096] For example, such as Figure 4 As shown, when the analyzed data is the standard probability value of a standard cross-section plot, both the standard cross-section plot and the corresponding standard probability value can be displayed simultaneously. The standard probability value can be displayed directly as a numerical value, or it can be indicated by representative colors and / or shapes. For example, green represents a standard level above 80%, and yellow represents a standard level below 80%. Similarly, a square represents a standard level above 80%, and a triangle represents a standard level below 80%, etc. Of course, a reference graph of the standard probability value can also be displayed simultaneously to more clearly understand the standard level represented by each standard probability value. For example, the first range is 80%–100%, the second range is 60%–79%, and the third range is below 60%. Different ranges can be indicated with different colors; no specific limitations are made here. Figure 5As shown, when the analyzed data is a standard score, a standard cross-sectional plot and the corresponding standard score can be displayed simultaneously. Of course, the standard score can also be displayed directly as a numerical value, or it can be indicated by representative colors and / or shapes. For example, green represents a standard level above 80%, and yellow represents a standard level below 80%. Similarly, a square represents a standard level above 80%, and a triangle represents a standard level below 80%, and so on. A reference plot of the standard score can also be displayed simultaneously to more clearly understand the standard level represented by the score. For example, with a maximum score of 10, the first interval (8 to 10) represents the highest standard level; the second interval (6 to 8, excluding 8) represents the next highest standard level; and the third interval (below 6) represents the lowest standard level. Each interval can be indicated by a different color, and the intensity of the color within each interval reflects the degree of standardization as the score increases; that is, the higher the score, the darker the color.

[0097] In one optional implementation, after determining the standard cross-section, a color-coded marker image corresponding to the standard cross-section can be generated based on the correspondence between the analysis data and a preset value. This color-coded marker image is used to identify the analysis data of the standard cross-section. Then, while displaying the standard cross-section, the corresponding color-coded marker image is overlaid on it, or it can be displayed around the perimeter of at least one cross-section. Furthermore, the analysis data can be used to measure the standardization level of the standard cross-section. The standardization level can correspond to a color; for example, a higher standardization level can correspond to a more vibrant color, such as green or red, while a lower standardization level can correspond to a lighter color, such as different shades of gray. The lower the standardization level, the lower the corresponding gray value. For example, as shown... Figure 6 As shown, a color-coded marker image can be displayed around at least one standard cross-sectional view, i.e. Figure 6 As shown in Figure 601. For example, this color-coded plot may also include numerical values ​​of analytical data from standard cross-sectional plots, such as... Figure 7 As shown, the color-coded marker image includes analysis data from a standard cross-sectional view, which is overlaid on the cross-sectional view, i.e., "score: 0.95". The displayed color can be determined based on the analysis data and a preset color correspondence. For example, if the analysis data is the standard probability of the standard cross-sectional view, the higher the standard probability value, the closer the displayed color is to green, indicating a higher degree of standardization of the standard cross-sectional view. Conversely, the lower the standard probability value, the closer the displayed color is to red or other striking colors, indicating a lower degree of standardization of the standard cross-sectional view. Therefore, in this embodiment, the standardization of at least one standard cross-sectional view can be displayed intuitively using a color-coded marker image, allowing operators to observe the target hip joint more directly.

[0098] In an optional embodiment of this application, after multiple standard cross-sectional views are determined, the position or size of at least one standard cross-sectional view displayed on the monitor can be adjusted according to the standardization level of the at least one standard cross-sectional view. For example, the higher the standardization level of a standard cross-sectional view, the larger the size of the standard cross-sectional view displayed. For example, a cross-sectional view with the highest standardization level can be determined and displayed as the standard cross-sectional view, while other determined standard cross-sectional views are displayed as alternative cross-sectional views. Furthermore, analytical data measuring the standardization level of at least one cross-sectional view can be displayed simultaneously. Therefore, in this embodiment of the application, when there are multiple standard cross-sectional views, they can be displayed according to the standardization level of at least one standard cross-sectional view, allowing operators to more intuitively determine the accurate standard cross-sectional view.

[0099] Therefore, in this application, an ultrasonic wave can be emitted towards the target hip joint using a two-dimensional probe to obtain an ultrasonic echo signal; then, at least one cross-sectional image of the target hip joint is obtained based on the ultrasonic echo signal. Analysis is performed on the at least one cross-sectional image to obtain analytical data, which can be used to measure the standardization of the at least one cross-sectional image. A standard cross-sectional image is determined from the at least one cross-sectional image based on the analytical data, and the standard cross-sectional image and corresponding analytical data are displayed. Therefore, in this embodiment, at least one cross-section of the target hip joint can be obtained using a two-dimensional probe, which reduces costs compared to a three-dimensional probe. This embodiment analyzes the obtained at least one cross-sectional image to obtain analytical data measuring the standardization of the cross-sectional image, and determines a standard cross-sectional image based on the analytical data, thus identifying a more standard cross-sectional image as the standard cross-sectional image. Compared to manually selecting a standard cross-sectional image, this embodiment, based on analytical data that can measure the standardization of each cross-sectional image, can more directly select a cross-sectional image with a higher degree of standardization as the standard cross-sectional image, resulting in a standard cross-sectional image with a higher degree of standardization.

[0100] In combination with the above Figure 3 See Figure 8 This application also provides an ultrasound imaging method for the hip joint, as described below.

[0101] 801. Receive the image acquisition instruction for the target hip joint.

[0102] Among them, in combination with the above Figure 1 The provided ultrasound system can receive instructions to acquire images of the target hip joint.

[0103] The command to retrieve the information can be entered by the user through an input device, such as a keyboard or mouse.

[0104] For example, users can use a keyboard to input the identifier, title, or storage location of the target hip joint image to obtain instructions for acquiring the image of the target hip joint.

[0105] 802. Obtain at least one cross-sectional image of the target hip joint from the database according to the image acquisition instruction.

[0106] Specifically, upon receiving an image acquisition instruction for the target hip joint, at least one cross-sectional image of the target hip joint is retrieved from the database according to the image acquisition instruction.

[0107] The at least one cross-sectional view can be stored as an image in a database or as a video in a data block, including a frame of the video and an ultrasound image of the target hip joint.

[0108] If the database stores video data of the target hip joint, after obtaining the video data, each frame of ultrasound image in the video data can be filtered to determine that each frame of ultrasound image in the video data includes an ultrasound image of the target hip joint, thereby obtaining at least one cross-sectional view of the target hip joint.

[0109] In this application embodiment, the database can be understood as a memory or storage medium for storing data, i.e., the aforementioned Figure 1 The memory 105 in the middle.

[0110] 803. Analyze the at least one cross-sectional view to obtain analysis data of the at least one cross-sectional view.

[0111] 804. Determine a standard cross-section from the at least one cross-section based on the analysis data.

[0112] 805. Display the standard cross-sectional view and the analysis data of the standard cross-sectional view.

[0113] Steps 803-805 in this embodiment can be referred to similarly to steps 304-306 above, and will not be repeated here.

[0114] In this embodiment, at least one cross-sectional image can be obtained from a database, enabling offline analysis of the target hip joint. Furthermore, by analyzing the obtained cross-sectional image, analytical data measuring the standardization of the image is acquired. Based on this data, a standard cross-sectional image is determined, resulting in a more standardized image. Compared to manually selecting a standard cross-sectional image, this embodiment, based on analytical data that measures the standardization of each image, can more directly select an image with a higher degree of standardization, thus obtaining a more standardized image.

[0115] Please see Figure 9 This application also provides another method for ultrasound imaging of the hip joint, as described below.

[0116] 901. Obtain at least one cross-sectional view of the target hip joint.

[0117] Among them, based on the aforementioned Figure 1 The hip joint imaging system 10 can send ultrasound waves to the target hip joint through a two-dimensional probe, and then obtain a cross-sectional image of the target hip joint through the ultrasound echo returned by the target hip joint. For specific steps, please refer to the aforementioned steps 301-303.

[0118] Alternatively, at least one cross-sectional image of the target hip joint can be read from the database, as detailed in steps 801-802 above.

[0119] 902. Obtain analysis data for at least one cross-sectional view.

[0120] After obtaining at least one cross-sectional view, the analysis data for that cross-sectional view can be acquired. The specific method for acquiring the analysis data for that cross-sectional view can be found in step 304 above, and will not be repeated here.

[0121] It should be understood that in the embodiments of this application, after obtaining a cross-sectional view of the target hip joint, the cross-sectional view can be analyzed to obtain analysis data of the cross-sectional view, thereby realizing real-time analysis of the cross-sectional view.

[0122] 903. Display at least one cross-sectional view in the first display area of ​​the image display interface.

[0123] After obtaining at least one cross-sectional view, the at least one cross-sectional view can be displayed in the first display area of ​​the display area.

[0124] It should be understood that, in the embodiments of this application, the at least one cross-sectional view is obtained and displayed sequentially in the first display area of ​​the image display interface in the order of acquisition.

[0125] 904. Display the analysis data in the second display area of ​​the image display interface.

[0126] In this process, while displaying at least one cross-sectional view in the first display area of ​​the image display interface, analysis data can also be displayed in the second display area.

[0127] The first display area and the second display area can be independent of each other, or the second display area can be located on top of the first display area. For example, as shown... Figure 10 As shown, a cross-sectional plot can be displayed in the first display area, and the standard probability of that cross-sectional plot can be displayed in the second display area. For example, as... Figure 11 As shown, a cross-sectional view is displayed in a first display area, and a standard score for that cross-sectional view is displayed in a second display area. Of course, in some embodiments, the second display area may also be located on top of the first display area.

[0128] In some possible implementations, assuming the user needs to hide the second display area, the system can receive a hiding command triggered by the user for the second display area. In response to the hiding command, the system automatically hides the second display area, thus clearly displaying only the cross-sectional view.

[0129] In some possible implementations, the system can simultaneously display multiple cross-sectional plots and the corresponding analysis data, thereby allowing users to clearly understand the standardization of each cross-sectional plot and facilitating further filtering.

[0130] In this embodiment, the cross-sectional image and corresponding analysis data can be displayed in real time. For example, a user can emit ultrasound waves to a target hip joint using a two-dimensional ultrasound probe and receive the ultrasound echoes from the target hip joint to obtain the corresponding ultrasound image, i.e., a cross-sectional image. This cross-sectional image is then analyzed to obtain a standard score, and both the cross-sectional image and the standard score are displayed simultaneously. This allows the user to observe the standardization of the currently acquired ultrasound image in real time, enabling them to learn how to acquire cross-sectional images of the target hip joint, or to determine a standard cross-sectional image based on the real-time standardization.

[0131] In one possible implementation, after obtaining the at least one cross-sectional view and the corresponding analysis data, the at least one cross-sectional view and the corresponding analysis data can also be saved.

[0132] In one possible implementation, after obtaining the at least one cross-sectional view and the corresponding analysis data, at least one standard cross-sectional view can be determined based on the analysis data of the at least one cross-sectional view. The method for determining the at least one standard cross-sectional view can be referred to the relevant description in step 305 above, and will not be repeated here.

[0133] In one possible implementation, after acquiring the at least one cross-sectional view and the corresponding analysis data, user input data can also be received, and a standard cross-sectional view can be determined from the at least one cross-sectional view based on the user input data. For example, the cross-sectional view of the target hip joint and the corresponding analysis data can be displayed in real time on the display interface. The user can observe the displayed analysis data, determine the cross-sectional view with the highest degree of standardization as the standard cross-sectional view, and select the cross-sectional view with the highest degree of standardization as the standard cross-sectional view through the input device.

[0134] Therefore, in this embodiment, the ultrasound image of the target hip joint and the corresponding analysis data can be displayed in real time, allowing users to observe the ultrasound image and standardization of the target hip joint more intuitively. This can be used for teaching or learning how to obtain the cross-sectional view of the target hip joint, and allows users to more accurately determine the standard cross-sectional view of the target hip joint.

[0135] In combination with the above Figure 3-11 This application also provides an ultrasound imaging method for the hip joint; please refer to [link to relevant documentation]. Figure 12 As described below.

[0136] 1201. Obtain at least one cross-sectional view of the target hip joint.

[0137] The method for obtaining at least one cross-sectional view of the target hip joint can be referred to in steps 301-303 above, or the method for obtaining it in steps 801-802 above, which will not be repeated here.

[0138] 1202. Analyze at least one cross-sectional view to obtain analysis data for at least one cross-sectional view.

[0139] Specifically, step 1202 in this embodiment can be referred to step 304 above, and will not be repeated here.

[0140] 1203. Determine the standard section view from at least one section view based on the analysis data.

[0141] For details of step 1203, please refer to step 305 above, which will not be repeated here.

[0142] In the embodiments of this application, the standard cross-sectional view must include at least one of the following features: the strong echo below the target hip joint is the femoral epiphyseal plate; the center of the target hip joint is the femoral head; the lateral side of the femoral head of the target hip joint is successively surrounded by the hyperechoic synovial folds, joint capsule, labrum and hypoechoic cartilaginous acetabulum, and gradually extends above the femoral head to the hyperechoic bony acetabular rim.

[0143] 1204. Display standard cross-sectional view.

[0144] In this embodiment, step 1204 can be referred to the aforementioned steps 306 or 903-904, and will not be repeated here.

[0145] Therefore, in this embodiment, by analyzing at least one cross-sectional image, analytical data measuring the standardization of the cross-sectional image is obtained, and a standard cross-sectional image is determined based on the analytical data. This allows for the identification of a more standard cross-sectional image as the standard cross-sectional image. Compared to manually selecting a standard cross-sectional image, this embodiment, based on analytical data that can measure the standardization of each cross-sectional image, can more directly select a cross-sectional image with a higher degree of standardization as the standard cross-sectional image, resulting in a standard cross-sectional image with a higher degree of standardization.

[0146] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0147] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between apparatuses or units through some interfaces, and may be electrical, mechanical, or other forms.

[0148] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0149] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0150] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part 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 application. 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.

[0151] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications 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 this application.

Claims

1. An ultrasound imaging method of a hip joint, characterized by, The method comprises: controlling the probe to emit ultrasonic waves to a target hip joint and receive ultrasonic echoes of the target hip joint; determining at least one cross-sectional view of the target hip joint according to the ultrasonic echoes; analyzing the at least one cross-sectional view to obtain analysis data of the at least one cross-sectional view, wherein the analysis data is used to measure the standard degree of the cross-sectional view; determining a standard cross-sectional view from the at least one cross-sectional view according to the analysis data; displaying the standard cross-sectional view and the analysis data of the standard cross-sectional view; the analyzing the at least one cross-sectional view to obtain the analysis data of the at least one cross-sectional view comprises: determining a standard probability value of the at least one cross-sectional view by deep learning, the standard probability value being in a positive proportional relationship with the standard degree of the cross-sectional view; taking the standard probability value of the at least one cross-sectional view as the analysis data of the at least one cross-sectional view; the determining the standard probability value of the at least one cross-sectional view by deep learning comprises determining, by deep learning, a case where the target hip joint in the at least one cross-sectional view meets a preset condition, and determining the standard probability value of the at least one cross-sectional view based on the case where the preset condition is met, wherein the meeting the preset condition comprises at least one of the following: strong echoes below the target hip joint are femoral metaphyseal plates; the center of the target hip joint is a femoral head; the lateral side of the femoral head of the target hip joint is successively wrapped by high echo synovial folds, joint capsules, labra, and low echo cartilaginous acetabula, and gradually extends above the femoral head as a strong echo bony acetabular rim.

2. The method of claim 1, wherein, The determining at least one cross-sectional view of the target hip joint according to the ultrasonic echoes comprises: determining at least one two-dimensional ultrasonic image according to the ultrasonic echoes; determining the at least one cross-sectional view according to the at least one two-dimensional ultrasonic image.

3. The method of claim 2, wherein, The determining the at least one cross-sectional view according to the at least one two-dimensional ultrasonic image comprises: deleting ultrasonic images in the at least one two-dimensional ultrasonic image that do not meet a preset condition, the preset condition being that the ultrasonic image includes the target hip joint or the number of features included in the ultrasonic image is greater than a threshold value; determining the at least one cross-sectional view according to the at least one two-dimensional ultrasonic image after deletion.

4. The method of claim 2, wherein, The determining the at least one cross-sectional view according to the at least one two-dimensional ultrasonic image comprises: acquiring position information of the probe by a sensor; combining the at least one two-dimensional ultrasonic image and the position information to obtain volume data of the target hip joint; determining the at least one cross-sectional view of the target hip joint from the volume data of the target hip joint.

5. The method of claim 4, wherein, The determining the at least one cross-sectional view of the target hip joint from the volume data of the target hip joint comprises: determining a target axis from the volume data, and performing rotational cutting along a preset direction of the target axis to obtain the at least one cross-sectional view; or performing parallel cutting on the volume data to obtain the at least one cross-sectional view. The method further comprises:

6. The method of claim 1, wherein, ​ According to the analysis data of the standard cross-section view and a preset color mapping relationship, a corresponding color mark view is determined, and the color mark view is superimposed and displayed on the standard cross-section view or on the periphery of the standard cross-section view.

7. The method according to any one of claims 1 to 6, characterized in that, The method comprises: The at least one cross-section view is displayed in a first display area of an image display interface, and the analysis data of the at least one cross-section view is displayed in a second display area of the image display interface.

8. The method of claim 7, wherein, The method further comprises: A hiding instruction for the second display area is received; According to the hiding instruction, the second display area is hidden.

9. The method according to any one of claims 1 to 6, characterized in that, If the standard cross-section view is one, the standard cross-section view is determined from the at least one cross-section view according to the analysis data in at least one of the following manners: The analysis data comprises a standard score, and the cross-section view with the highest standard score is determined as the standard cross-section view; The analysis data comprises a standard probability value, and the cross-section view with the highest standard probability value is determined as the standard cross-section view; If the standard cross-section view is multiple, the standard cross-section view is determined from the at least one cross-section view according to the analysis data in at least one of the following manners: The analysis data comprises a standard score, and the cross-section view with the standard score higher than a threshold value is determined as the standard cross-section view; The analysis data comprises a standard probability value, and the cross-section view with the standard probability value higher than a threshold value is determined as the standard cross-section view.

10. The method of claim 9, wherein, The number of the standard cross-section views is determined by receiving input data input by a user and / or a preset number input by the user.

11. The method according to any one of claims 1 to 6, characterized in that, The analysis data of the standard cross-section view is displayed, comprising: If the analysis data comprises a standard score, the standard score is displayed, or a color and / or shape representing the standard score are displayed; If the analysis data comprises a standard probability value, the standard probability value is displayed, or a color and / or shape representing the standard probability value are displayed.

12. An ultrasound imaging method of a hip joint, characterized by, Comprise: The probe emits ultrasonic waves to a target hip joint and receives ultrasonic echoes of the target hip joint; At least one cross-section view of the target hip joint is determined according to the ultrasonic echoes; The at least one cross-section view is analyzed to obtain analysis data of the at least one cross-section view, wherein the analysis data is used to measure the standard degree of the cross-section view; A standard cross-section view is determined from the at least one cross-section view according to the analysis data; The standard cross-section view and the analysis data of the standard cross-section view are displayed; The at least one cross-section view is analyzed to obtain analysis data of the at least one cross-section view, comprising: The tissue characteristics of each cross-section view in the at least one cross-section view are detected; According to the tissue characteristics of each cross-section view and the preset weight information of each tissue characteristic, a standard score of each cross-section view is determined, and the standard score is in a positive proportional relationship with the standard degree of each cross-section; The standard score of each cross-section view is taken as the analysis data of each cross-section view; The tissue characteristics of each cross-section view in the at least one cross-section view are detected, comprising detecting whether the target hip joint in each cross-section view in the at least one cross-section satisfies at least one of the following: The strong echo below the target hip joint is the femoral metaphyseal plate; The center of the target hip joint is the femoral head; The lateral side of the femoral head of the target hip joint is successively surrounded by the synovial fold, joint capsule, labrum, and cartilaginous acetabulum with high and low echoes, and gradually extends above the femoral head to the bony acetabular rim with strong echo.

13. The method of claim 12, wherein, The method further comprises: determining at least one two-dimensional ultrasound image according to the ultrasound echoes; determining the at least one sectional view according to the at least one two-dimensional ultrasound image.

14. The method of claim 13, wherein, The method further comprises: deleting ultrasound images that do not meet preset conditions from the at least one two-dimensional ultrasound image, wherein the preset conditions are that the ultrasound images include the target hip joint or that the number of features included in the ultrasound images is greater than a threshold value; determining the at least one sectional view according to the at least one two-dimensional ultrasound image after deletion.

15. The method of claim 13, wherein, The method further comprises: acquiring position information of the probe through a sensor; combining the at least one two-dimensional ultrasound image with the position information to obtain volume data of the target hip joint; determining the at least one sectional view of the target hip joint from the volume data of the target hip joint.

16. The method of claim 15, wherein, The method further comprises: determining a target axis from the volume data, and performing rotational cutting along a preset direction of the target axis to obtain the at least one sectional view; or performing parallel cutting on the volume data to obtain the at least one sectional view. The method further comprises:

17. The method of claim 12, wherein, determining a corresponding color marker map according to the analysis data of the standard sectional view and a preset color mapping relationship, and superimposing and displaying the color marker map on the standard sectional view or displaying the color marker map on the periphery of the standard sectional view. The method further comprises:

18. The method according to any one of claims 12 to 17, characterized in that, displaying the at least one sectional view in a first display area of an image display interface and displaying analysis data of the at least one sectional view in a second display area of the image display interface. The method further comprises:

19. The method of claim 18, wherein, receiving a hiding instruction for the second display area; hiding the second display area according to the hiding instruction. If the standard sectional view is one, the method of determining a standard sectional view from the at least one sectional view according to the analysis data comprises at least one of the following modes:

20. The method according to any one of claims 12 to 17, characterized in that, The analysis data includes a standard score, and the sectional view with the highest standard score is determined as the standard sectional view. The analysis data includes a standard probability value, and the sectional view with the highest standard probability value is determined as the standard sectional view. If the standard sectional view is multiple, the method of determining a standard sectional view from the at least one sectional view according to the analysis data comprises at least one of the following modes: The analysis data includes a standard score, and the sectional view with a standard score higher than a threshold value is determined as the standard sectional view. The analysis data includes a standard probability value, and the sectional view with a standard probability value higher than a threshold value is determined as the standard sectional view. ​ 21. The method of claim 20, wherein, The number of the standard cross-sectional images is determined by input data received from a user and / or a preset number inputted by the user.

22. The method according to any one of claims 12 to 17, characterized in that, The display of the analysis data of the standard cross-sectional image comprises: If the analysis data comprises a standard score, the standard score is displayed, or a color and / or shape representing the standard score is displayed; If the analysis data comprises a standard probability value, the standard probability value is displayed, or a color and / or shape representing the standard probability value is displayed.

23. An ultrasound imaging method of a hip joint, characterized by, The method comprises: receiving an image acquisition instruction for a target hip joint; acquiring at least one cross-sectional image of the target hip joint from a database according to the image acquisition instruction; analyzing the at least one cross-sectional image to obtain analysis data of the at least one cross-sectional image, wherein the analysis data is used to measure a standard degree of the cross-sectional image; determining a standard cross-sectional image from the at least one cross-sectional image according to the analysis data; displaying the standard cross-sectional image and the analysis data of the standard cross-sectional image; The analysis of the at least one cross-sectional image to obtain the analysis data of the at least one cross-sectional image comprises: determining a standard probability value of the at least one cross-sectional image by deep learning, the standard probability value being in a positive proportional relationship with the standard degree of the cross-sectional image; taking the standard probability value of the at least one cross-sectional image as the analysis data of the at least one cross-sectional image; The determination of the standard probability value of the at least one cross-sectional image by deep learning comprises determining, by deep learning, a condition in which the target hip joint in the at least one cross-sectional image meets a preset condition, and determining the standard probability value of the at least one cross-sectional image based on the condition in which the target hip joint meets the preset condition, wherein the condition in which the target hip joint meets the preset condition comprises at least one of the following: strong echoes below the target hip joint are femoral metaphyseal plates; a center of the target hip joint is a femoral head; outer sides of the femoral head of the target hip joint are successively wrapped by high-echo synovial folds, joint capsules, labra, and low-echo cartilaginous acetabula, and gradually extend above the femoral head into strong-echo bony acetabular margins.

24. The method of claim 23, wherein, The method further comprises: determining a corresponding color marker image according to the analysis data of the standard cross-sectional image and a preset color mapping relationship, and superimposing the color marker image on the standard cross-sectional image or displaying the color marker image around the standard cross-sectional image.

25. The method of claim 23 or 24, wherein, The database stores picture data and / or video data, and the acquisition of the at least one cross-sectional image of the target hip joint from the database comprises: acquiring the at least one cross-sectional image of the target hip joint from the picture data and / or the video data stored in the database.

26. An ultrasound imaging method of a hip joint, characterized by The method comprises: receiving an image acquisition instruction for a target hip joint; acquiring at least one cross-sectional image of the target hip joint from a database according to the image acquisition instruction; analyzing the at least one cross-sectional image to obtain analysis data of the at least one cross-sectional image, wherein the analysis data is used to measure a standard degree of the cross-sectional image; determining a standard cross-sectional image from the at least one cross-sectional image according to the analysis data; displaying the standard cross-sectional image and the analysis data of the standard cross-sectional image; The analysis on the at least one cross-section view comprises: detecting a tissue feature of each cross-section view in the at least one cross-section view; determining a standard score of each cross-section view according to the tissue feature of each cross-section view and preset weight information of each tissue feature, the standard score being in a positive proportional relationship with a standard degree of each cross-section; taking the standard score of each cross-section view as analysis data of each cross-section view; The detection of the tissue feature of each cross-section view in the at least one cross-section view comprises detection of whether the target hip joint in each cross-section view in the at least one cross-section view satisfies at least one of the following conditions: strong echo below the target hip joint is a femoral condyle plate; the center of the target hip joint is a femoral head; the outside of the femoral head of the target hip joint is successively wrapped by synovial fold, joint capsule, labrum, and cartilaginous acetabulum with high echo and low echo, and gradually extends above the femoral head into a strong echo bone acetabular rim.

27. The method of claim 26, wherein, The method further comprises: determining a corresponding color marking view according to the analysis data of the standard cross-section view and a preset color mapping relationship, and superimposing the color marking view on the standard cross-section view or displaying the color marking view on the periphery of the standard cross-section view.

28. The method of claim 26 or 27, wherein, The database stores picture data and / or video data, and the at least one cross-section view of the target hip joint is obtained from the database by: obtaining the at least one cross-section view of the target hip joint from the picture data and / or the video data stored in the database.

29. An ultrasound imaging method of a hip joint, characterized by, It comprises: controlling the probe to emit ultrasonic waves to the target hip joint and receive ultrasonic echoes of the target hip joint; determining at least one cross-section view of the target hip joint according to the ultrasonic echoes; analyzing the at least one cross-section view to obtain analysis data of the at least one cross-section view, wherein the analysis data is used to measure the standard degree of the cross-section view; determining a standard cross-section view from the at least one cross-section view according to the analysis data; displaying the standard cross-section view; The analysis on the at least one cross-section view comprises: determining a standard probability value of the at least one cross-section view by deep learning, the standard probability value being in a positive proportional relationship with the standard degree of the cross-section view; taking the standard probability value of the at least one cross-section view as the analysis data of the at least one cross-section view; The determination of the standard probability value of the at least one cross-section view by deep learning comprises determination of a condition that the target hip joint in the at least one cross-section view satisfies a preset condition by deep learning, and determination of the standard probability value of the at least one cross-section view based on the condition that the preset condition is satisfied, wherein the condition that the preset condition is satisfied comprises at least one of the following conditions: strong echo below the target hip joint is a femoral condyle plate; the center of the target hip joint is a femoral head; the outside of the femoral head of the target hip joint is successively wrapped by synovial fold, joint capsule, labrum, and cartilaginous acetabulum with high echo and low echo, and gradually extends above the femoral head into a strong echo bone acetabular rim.

30. An ultrasound imaging method of a hip joint, characterized by, It comprises: controlling the probe to emit ultrasonic waves to a target hip joint and receive ultrasonic echoes of the target hip joint; determining at least one cross-sectional view of the target hip joint according to the ultrasonic echoes; analyzing the at least one cross-sectional view to obtain analysis data of the at least one cross-sectional view, wherein the analysis data is used to measure the standard degree of the cross-sectional view; determining a standard cross-sectional view from the at least one cross-sectional view according to the analysis data; displaying the standard cross-sectional view; the analyzing the at least one cross-sectional view to obtain analysis data of the at least one cross-sectional view comprises: detecting tissue features of each cross-sectional view in the at least one cross-sectional view; determining a standard score of each cross-sectional view according to the tissue features of each cross-sectional view and preset weight information of each tissue feature, wherein the standard score is in a positive proportional relationship with the standard degree of each cross-sectional view; taking the standard score of each cross-sectional view as the analysis data of each cross-sectional view; the detecting the tissue features of each cross-sectional view in the at least one cross-sectional view comprises detecting whether the target hip joint in each cross-sectional view in the at least one cross-sectional view satisfies at least one of the following conditions: strong echoes below the target hip joint are femoral metaphyseal plates; the center of the target hip joint is a femoral head; the lateral side of the femoral head of the target hip joint is successively surrounded by high echo synovial folds, joint capsules, labra, and low echo cartilaginous acetabula, and gradually extends above the femoral head as a strong echo bony acetabular rim.

31. A hip imaging system, comprising: comprises: a probe, a transmission / reception sequence circuit, a processor, and a display; the transmission / reception sequence circuit is used to excite the probe to emit ultrasonic waves to a target hip joint and receive ultrasonic echoes of the target hip joint; the processor is used to execute the method of any one of claims 1 to 30 according to the ultrasonic echoes; the display is used to display the results processed by the processor.

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