Hip joint ultrasonic imaging method and hip joint imaging system

Abstract

The invention discloses an ultrasonic imaging method of a hip joint and a hip joint imaging system, which are used for improving the intuition of an image. The hip joint ultrasonic imaging method comprises the following steps: emitting ultrasonic waves to a target hip joint; receiving ultrasonic echoes of the target hip joint; determining at least one section diagram of the target hip joint according to the ultrasonic echoes; analyzing the at least one section diagram to obtain analysis data of the at least one section diagram, the analysis data being used for measuring the standard degree of the section diagram; determining a standard section drawing from the at least one section drawing according to the analysis data; and displaying the standard section drawing and the analysis data of the standard section drawing.

Description

[0001] This application is a divisional application of the invention patent application with application date of July 30, 2019, application number 201910695726.4, and invention name “A method for ultrasonic imaging of hip joint and a hip joint imaging system”. Technical Field

[0002] The present application relates to the field of medical devices, and in particular to an ultrasonic imaging method of a hip joint and a hip joint imaging system. Background Art

[0003] The Graf method is the most commonly used ultrasound evaluation method for developmental dysplasia of the hip (DDH). It is a static method of DDH ultrasound examination pioneered by Austrian scholar Graf. This method has the advantages of normalization, standardization, repeatability, and objectivity of reference indicators. Therefore, it is widely used throughout the world, especially in German-speaking countries in Europe. The Graf method requires obtaining a standard coronal section of the hip joint for measurement. The long axis of the probe is required to be parallel to the axis of the body (probe tilt may lead to overdiagnosis), and a standard image of the coronal section of the hip joint is obtained at the greater trochanter of the femur. And the coronal section image needs to meet certain structural conditions, otherwise it cannot be used.

[0004] Therefore, when performing DDH ultrasound examination according to the Graf method, high requirements are placed on the section image. If the section is not standard, there will be deviations in the measurement. Therefore, how to obtain more accurate section images has become an urgent problem to be solved. Summary of the invention

[0005] The present application provides a hip joint ultrasonic imaging method and a hip joint imaging system, which are used to improve the intuitiveness of ultrasonic imaging.

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

[0007] A second aspect of the present application provides an ultrasonic imaging method for a hip joint, comprising: acquiring at least one cross-sectional view of a target hip joint; 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 based on the analysis data; and displaying the standard cross-sectional view; wherein the standard cross-sectional view includes at least one of the following features of the target hip joint: 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 outer side of the femoral head of the target hip joint is surrounded by high-echo synovial folds, joint capsule, labrum and low-echo cartilaginous acetabulum in sequence, and gradually extends to a strong-echo bony acetabular rim above the femoral head.

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

[0009] In a fourth aspect, the present application provides an ultrasonic imaging method for a hip joint, comprising: obtaining at least one cross-sectional image of a target hip joint; obtaining analysis data of at least one cross-sectional image, wherein the analysis data is used to measure the standardization degree of the cross-sectional image; displaying 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] A fifth aspect of the present application provides a hip joint imaging system, comprising: a two-dimensional probe, a transmission / reception sequence circuit, a processor, and a display;

[0011] A transmitting / receiving sequence circuit is used to stimulate the two-dimensional probe to transmit ultrasonic waves to the target hip joint and receive ultrasonic echoes of the target hip joint;

[0012] a processor, configured to determine at least one cross-sectional view of a target hip joint based on the ultrasound echo;

[0013] The processor is further used to analyze at least one cross-sectional diagram to obtain analysis data of at least one cross-sectional diagram, wherein the analysis data is used to measure the standard degree of the cross-sectional diagram;

[0014] The processor is further configured to determine a standard slice diagram from at least one slice diagram according to the analysis data;

[0015] The display is used to display the standard cross-sectional diagram and the analysis data of the standard cross-sectional diagram.

[0016] A sixth aspect of the present application provides a hip joint imaging system, comprising: a processor and a display;

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

[0018] The processor is further used to analyze 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;

[0019] The processor is further configured to determine a standard section view from the at least one section view according to the analysis data;

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

[0021] Wherein, 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 epiphysis;

[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 surrounded by the high-echo synovial folds, joint capsule, labrum and low-echo cartilaginous acetabulum in sequence, and gradually extends to the high-echo bony acetabular rim above the femoral head.

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

[0026] An input device for receiving an image acquisition instruction for a target hip joint;

[0027] A processor, configured to obtain at least one cross-sectional image of a target hip joint from a database according to an image acquisition instruction;

[0028] The processor is further used to analyze at least one cross-sectional diagram to obtain analysis data of at least one cross-sectional diagram, wherein the analysis data is used to measure the standard degree of the cross-sectional diagram;

[0029] The processor is further configured to determine a standard slice diagram from at least one slice diagram according to the analysis data;

[0030] The display is used to display the standard cross-sectional diagram and the analysis data of the standard cross-sectional diagram.

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

[0032] a processor, configured to obtain at least one cross-sectional image of a target hip joint;

[0033] The processor is further used to obtain analysis data of at least one slice diagram, wherein the analysis data is used to measure the standard degree of the slice diagram;

[0034] A display, configured to display at least one cross-sectional image in a first display area of ​​an image display interface;

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

[0036] In a ninth aspect, the present application provides a computer-readable storage medium, which stores instructions. When the computer-readable storage medium is run on a computer, the computer executes the ultrasonic imaging method of the hip joint provided in the first aspect.

[0037] In a tenth aspect, the present application provides a computer-readable storage medium, which stores instructions. When the computer-readable storage medium is run on a computer, the computer executes the ultrasonic imaging method of the hip joint provided in the second aspect.

[0038] The eleventh aspect of the present application provides a computer-readable storage medium, which stores instructions. When the computer-readable storage medium is run on a computer, it enables the computer to execute the ultrasonic imaging method of the hip joint provided in the third aspect.

[0039] In the present application, an ultrasonic wave can be emitted to the target hip joint to obtain an ultrasonic echo signal; then at least one cross-sectional view of the target hip joint is obtained according to the ultrasonic echo signal. According to the at least one cross-sectional view, analysis data of the at least one cross-sectional view is obtained, wherein the analysis data can be used to measure the standard degree of at least one cross-sectional view. According to the analysis data, a standard cross-sectional view is determined from the at least one cross-sectional view, and the standard cross-sectional view and the corresponding analysis data are displayed. Therefore, the embodiment of the present application analyzes the at least one cross-sectional view obtained to obtain analysis data for measuring the standard degree of the cross-sectional view, and determines the standard cross-sectional view according to the analysis data, so that a more standard cross-sectional view can be determined as the standard cross-sectional view. Compared with manually selecting a standard cross-sectional view, the embodiment of the present application can more directly select a cross-sectional view with a higher standard degree as the standard cross-sectional view according to the analysis data that can measure the standard degree of each cross-sectional view, and can obtain a standard cross-sectional view with a higher standard degree. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0041] Figure 2 A schematic diagram of a possible probe structure provided in an embodiment of the present application;

[0042] Figure 3 A possible flow chart of a method for ultrasonic imaging of a hip joint provided in an embodiment of the present application;

[0043] Figure 4 A schematic diagram showing a cross-sectional view of a possible ultrasonic imaging method of a hip joint provided in an embodiment of the present application;

[0044] Figure 5 A schematic diagram showing another cross-sectional view in a possible ultrasonic imaging method of a hip joint provided in an embodiment of the present application;

[0045] Figure 6 A schematic diagram showing another cross-sectional view in a possible ultrasonic imaging method of a hip joint provided in an embodiment of the present application;

[0046] Figure 7 A schematic diagram showing another cross-sectional view in a possible ultrasonic imaging method of a hip joint provided in an embodiment of the present application;

[0047] Figure 8 A schematic diagram of another possible flow chart of the method for ultrasonic imaging of a hip joint provided in an embodiment of the present application;

[0048] Fig. 9 A schematic diagram of another possible flow chart of the method for ultrasonic imaging of a hip joint provided in an embodiment of the present application;

[0049] Fig.10 A schematic diagram showing another cross-sectional view in a possible ultrasonic imaging method of a hip joint provided in an embodiment of the present application;

[0050] Fig.11 A schematic diagram showing another cross-sectional view in a possible ultrasonic imaging method of a hip joint provided in an embodiment of the present application;

[0051] Fig.12 Another possible flow chart of the method for ultrasonic imaging of the hip joint provided in an embodiment of the present application. DETAILED DESCRIPTION

[0052] The present application provides a hip joint ultrasonic imaging method and a hip joint imaging system, which are used to improve the intuitiveness of ultrasonic imaging.

[0053] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0054] Figure 1 Schematic diagram of the structural block diagram of the hip joint imaging system 10 in the embodiment of the present application. The hip joint imaging system 10 may include a probe 100, wherein the probe 100 may be an ultrasonic 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 ultrasonic probe 100 to transmit ultrasonic waves to the target tissue, and can also control the ultrasonic probe 100 to receive ultrasonic echoes returned from the target tissue, thereby obtaining ultrasonic echo signals / data. The processor 103 processes the ultrasonic echo signals / data to obtain tissue-related parameters and ultrasonic images of the target tissue. The ultrasonic images obtained by the processor 103 can be stored in the memory 105, and these ultrasonic images can be displayed on the display 104.

[0055] In an embodiment of the present application, the display 104 of the aforementioned hip joint imaging system 10 may be a touch screen, a liquid crystal display, etc., or it may be an independent display device such as a liquid crystal display, a television, etc. that is independent of the hip joint imaging system 10, or it may be a display screen on electronic devices such as mobile phones and tablet computers.

[0056] In an optional embodiment of the present application, the acoustic head portion of the probe 100 may be an array composed of a plurality of array elements, the plurality being two or more. The array element may be used to convert an electrical signal into an ultrasonic wave, transmit the ultrasonic wave, and receive a returned ultrasonic echo, convert the ultrasonic echo into an electrical signal, and obtain ultrasonic echo data / signal. Each array element transmits an ultrasonic wave or receives an ultrasonic echo by receiving a transmit signal from a transmit circuit and a receive signal from a receive circuit. Specifically, the scenario in which the probe 100 transmits an ultrasonic wave may be as follows: Figure 2 As shown, the array elements inside the probe 100 transmit ultrasonic waves to the target hip joint and receive ultrasonic echoes returned from the target hip joint.

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

[0058] In an optional implementation, the probe 100 is a non-volumetric probe.

[0059] In an optional implementation, the probe 100 is a linear array probe or a convex array probe.

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

[0061] In an optional embodiment of the present application, a computer-readable storage medium is also provided, which stores a plurality of program instructions. After the plurality of program instructions are called and executed by the processor 103, part of the steps or all of the steps or any combination of the steps in the ultrasonic imaging method of the hip joint in each embodiment of the present application can be executed.

[0062] In an optional embodiment of the present application, the computer-readable storage medium may be the 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 the present application, the aforementioned ultrasound imaging device 10 may also include various input devices, such as: a mouse, a keyboard, a touch screen, etc., for inputting instructions, so that the processor 103 can execute corresponding steps according to the input instructions.

[0064] In an optional embodiment of the present application, the processor 103 of the aforementioned ultrasound imaging device 10 can be implemented by software, hardware, firmware or a combination thereof, and can use circuits, single or multiple application-specific integrated circuits (ASICs), single or multiple general-purpose integrated circuits, single or multiple microprocessors, single or multiple 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 the present application.

[0065] The ultrasonic imaging method of the hip joint in the present application is described in detail below. An embodiment of the present application provides an ultrasonic imaging method of the hip joint, which is applied to a hip joint imaging system 10, and is particularly suitable for a hip joint imaging system 10 including a touch display screen, for inputting touch screen operations by contacting the touch display screen.

[0066] See also Figure 3 , the ultrasonic imaging method embodiment of the hip joint in the present application includes:

[0067] 301. Transmit ultrasonic waves to the target hip joint.

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

[0069] Generally, ultrasound waves can be transmitted to the target hip joint from a preset angle or distance through a two-dimensional probe. For example, the two-dimensional probe can be passed along the surface of the target hip joint to transmit ultrasound waves to the target hip joint from different positions or angles.

[0070] 302. Receive the ultrasonic echo of the target hip joint.

[0071] After transmitting ultrasonic waves to the target hip joint through the two-dimensional probe, the ultrasonic echoes returned from the target hip joint are also received through the two-dimensional probe.

[0072] For example, if the two-dimensional probe is passed along the surface of the target hip joint and ultrasonic waves are transmitted to the target hip joint from different positions or angles, the two-dimensional probe can also receive 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 ultrasonic echo.

[0074] After receiving the ultrasonic echo returned from the target hip joint, at least one cross-sectional image of the target hip joint is determined according to the ultrasonic echo.

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

[0076] Specifically, after obtaining at least one two-dimensional ultrasound image, the at least one two-dimensional ultrasound image can be screened, and ultrasound images that do not meet the preset conditions can be deleted to obtain at least one cross-sectional view 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 view of the target hip joint.

[0077] In another possible implementation, after receiving the ultrasonic echo returned from the target hip joint, at least one two-dimensional ultrasonic image of the target hip joint is generated according to the ultrasonic echo. In addition, a sensor can be installed on the two-dimensional probe, and the sensor is used to collect the position information of the two-dimensional probe. In combination with at least one two-dimensional ultrasonic image and the position information, the volume 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 volume data of the target hip joint.

[0078] Specifically, the sensor can be a magnetic field-based sensor, an inertial sensor, an acceleration sensor, and the like. When an ultrasonic wave is transmitted to the target hip joint through a two-dimensional probe, the sensor determines the change in the position of the probe, and then constructs the volume data of the target hip joint according to the change in the position of the two-dimensional probe and the returned ultrasonic wave. For example, the distance between the sensor and the two-dimensional probe is known, and the sensor can return the angle value of the change of the two-dimensional probe. The change in the position of the two-dimensional probe and the sensor can be determined according to the change angle of the two-dimensional probe, and then the ultrasonic echo received by the two-dimensional probe at different positions is combined to determine the ultrasonic image corresponding to the two-dimensional probe at different positions, and construct the volume data of the target hip joint. After obtaining the volume data, at least one cross-sectional image can be obtained according to the volume data. For example, the volume 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 volume data is rotated and cut along a preset direction to obtain the at least one cross-sectional image, or the volume data of the target hip joint is parallel cut to obtain the at least one cross-sectional image. Therefore, in the embodiment of the present application, by setting a sensor on a two-dimensional probe, volume data of the target hip joint can be constructed, thereby obtaining at least one cross-sectional image including the characteristics of the target hip joint. The obtained cross-sectional image is more standard, reducing the error of manually obtaining the cross-sectional image.

[0079] In an optional embodiment, after obtaining at least one cross-sectional view of the target hip joint, the at least one cross-sectional view may also be displayed on a display. For example, if an ultrasonic wave is transmitted to the target hip joint through a two-dimensional probe and an ultrasonic echo returned by the target hip joint is received, and an ultrasonic image is generated according to the ultrasonic echo, the ultrasonic image may be displayed in real time on the display, so that the user may intuitively observe the morphology of the target hip joint.

[0080] 304. Analyze at least one cross-sectional diagram to obtain analysis data of the at least one cross-sectional diagram.

[0081] After obtaining at least one cross-sectional view of the target hip joint, the at least one cross-sectional view is analyzed to obtain analysis data of the at least one cross-sectional view. The analysis data is used to measure the standard degree of the cross-sectional view.

[0082] Specifically, the standard degree of the cross-sectional image can be measured by determining whether each feature in the cross-sectional image is a standard feature. For example, the features in the standard cross-sectional image of the target hip joint may include: the strong echo below the target hip joint is the junction of cartilage and bone (femoral epiphysis); the center of the target hip joint is the femoral head, which is an oval low-echo area with scattered medium-echo points inside; the outer side of the femoral head is surrounded by the high-echo synovial folds, joint capsule, labrum and low-echo cartilaginous acetabulum in sequence, and gradually extends to the high-echo bony acetabular rim above the femoral head.

[0083] In an optional embodiment, the standard probability value of at least one cross-sectional view can be determined by deep learning, and the standard probability value is proportional to the standard degree of the cross-sectional view; the standard probability value of at least one cross-sectional view is used as the analysis data of at least one cross-sectional view. Among them, the deep learning in the embodiment of the present application can be a classification network, a convolutional neural network, a recursive neural network, a recurrent neural network and the like deep learning method. Specifically, it can be that a large number of standard cross-sectional views are first used for model training to obtain the parameters of each tissue feature of the standard cross-sectional view, and then after obtaining the at least one cross-sectional view, the at least one cross-sectional view is substituted into the model to obtain the analysis data of at least one cross-sectional view. In actual applications, which specific deep learning method to use can be adjusted according to the actual application scenario. This is only an example and is not limited.

[0084] Therefore, in the embodiment of the present application, the probability that at least one cross-section image is a standard cross-section image can be determined, so that at least one cross-section image can be determined later based on the probability that at least one cross-section image is a standard cross-section image, and the standard degree of at least one cross-section image can be determined more accurately, making the determined standard cross-section image more standard. Moreover, by training the model with a large number of standard cross-section images, a preset standard cross-section model can be obtained, and further learning can be performed through subsequent standard images. Therefore, the probability that at least one cross-section image is a standard cross-section image can be output by the trained model.

[0085] In another optional embodiment, the tissue features of each cross-section in at least one cross-section are detected; the standard score of each cross-section is determined according to the morphology of the tissue features of each cross-section and the preset weight information of each tissue feature, and the standard score is directly proportional to the standard degree of each cross-section; the standard score of each cross-section is used as the analysis data of each cross-section. Exemplarily, if it is detected that the features included in one of the cross-sections are only feature 1 of the target hip joint: the center of the hip joint is the femoral head, and feature 2: the strong echo below the hip joint is the junction of cartilage and bone, the weight value of feature 1 is 0.2, and the weight value of feature 2 is 0.2, then the standard degree score of the cross-section can be obtained as 0.4. Therefore, in the embodiment of the present application, the standard degree of at least one cross-section can be scored to obtain a standard score value for measuring the standard degree of at least one cross-section, so that the standard degree of at least one cross-section can be determined more accurately, making the determined standard cross-section more standard.

[0086] Specifically, when the analysis data includes a score value of the standard degree of at least one cross-sectional image, the specific analysis process may be: after obtaining at least one cross-sectional image, detect the tissue features included in the at least one cross-sectional image, for example, detect the junction of cartilage and bone, femoral head, lower edge of ilium, etc. included in the at least one cross-sectional image. The number of features to be detected is N, where N is a positive integer. For example, the value of N may be the number of tissue features included in the standard cross-sectional image. Then, the score of each tissue feature is determined based on the position, size, shape, etc. of each tissue feature detected. i , and then calculate the standard score value f of at least one slice diagram according to the first preset formula view , the preset formula can be, Among them, W i is the weight value of each tissue feature and can be preset.

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

[0088] In an optional implementation, after obtaining the analysis data of each cross-sectional view, each cross-sectional view and the analysis data corresponding to each cross-sectional view may also be displayed on a display, so that the user can intuitively observe the cross-sectional view and analysis data of the target hip joint.

[0089] 305. Determine a standard slice diagram from at least one slice diagram according to the analysis data.

[0090] After obtaining the analysis data of at least one cross-sectional view, at least one standard cross-sectional view is determined from the at least one cross-sectional view according to the analysis data of the at least one cross-sectional view. 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 standard degree greater than a threshold, and the standard degree can be measured by the analysis data. The standard cross-sectional view may also be referred to as a coronal cross-sectional view in the present application.

[0091] In an optional embodiment, when a standard cross-section is determined, after obtaining analysis data that measures the degree of standardization of at least one cross-section, a cross-section with the highest degree of standardization can be determined as the standard cross-section. For example, if the analysis data includes a standard score value for at least one cross-section, the cross-section with the highest standard score can be determined as the standard cross-section. For another example, if the analysis 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 determined as the standard cross-section. Therefore, in an embodiment of the present application, the cross-section with the highest degree of standardization in at least one cross-section can be determined as the standard cross-section, and a standard cross-section with the highest degree of standardization can be obtained. Compared with manual measurement, the measurement error can be reduced, and the most standard standard cross-section can be determined.

[0092] In an optional embodiment, when multiple standard cross-sectional views are determined, after obtaining analysis data that measures the degree of standardization of at least one cross-sectional view, a preset number of cross-sectional views with a degree of standardization higher than a threshold value can be determined from at least one cross-sectional view as the multiple standard cross-sectional views. For example, if the analysis data includes a standard score value for at least one cross-sectional view, then the cross-sectional view with a standard score value higher than the threshold value can be determined as the standard cross-sectional view. For another example, if the analysis data includes a probability that at least one cross-sectional view is a standard cross-sectional view, then a preset number of cross-sectional views with a probability of being a standard cross-sectional view higher than the threshold value can be determined as the standard cross-sectional view. Therefore, in an embodiment of the present application, multiple standard cross-sectional views can be determined, and multiple standard cross-sectional views can be used simultaneously to more accurately observe the target hip joint.

[0093] In an optional embodiment, the number of determined standard cross-sections can be obtained based on the user's input data. Specifically, before determining the standard cross-sections, the input data input by the user can be received, and the number of standard cross-sections can be determined based on the input data. For example, based on the user's input data, the number of standard cross-sections is determined to be M, where M is a positive integer. Then, from at least one cross-section obtained, M cross-sections with a standard degree higher than a threshold are determined as standard cross-sections. When M=1, the cross-section with the highest standard degree can be directly determined from the at least one cross-section as the standard cross-section. For another example, the preset number can be determined by user input. When the user is set to a single output mode, that is, M=1, only one cross-section with the highest standard degree is determined as the standard cross-section. When the user is set to a multi-output mode, multiple cross-sections with a higher standard degree can be determined for the user to select. Therefore, in an embodiment of the present application, the number of standard cross-sections outputted can be controlled by the user, and more standard cross-sections can be obtained to observe the target hip joint more comprehensively.

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

[0095] After the standard cross-sectional diagram is obtained, the standard cross-sectional diagram and the analysis data corresponding to the standard cross-sectional diagram can be displayed on the display.

[0096] For example, Figure 4 As shown, when the analysis data is the standard probability value of the standard cross-section diagram, the standard cross-section diagram and the corresponding standard probability value can be displayed simultaneously, wherein the standard probability value can be directly displayed by a numerical value, or can be marked by some representative colors and / or shapes, for example, green represents a standard degree above 80%, and yellow represents a standard degree below 80%. For another example, a square represents a standard degree above 80%, a triangle represents a standard degree below 80%, and so on. Of course, a reference graph of the standard probability value can also be displayed at the same time to more clearly know the standard degree represented by the standard probability value. For example, the first range is 80% to 100%, the second range is 60% to 79%, and the third range is below 60%. Of course, different range intervals can be marked with different colors, which are not specifically limited here. As Figure 5As shown, when the analysis data is a standard score, the standard cross-section diagram and the corresponding standard score can be displayed at the same time. Of course, the standard score can also be directly displayed by a numerical value, or it can be marked by some representative colors and / or shapes, for example, green represents a standard degree of more than 80%, and yellow represents a standard degree of less than 80%. For example, a square represents a standard degree of more than 80%, and a triangle represents a standard degree of less than 80%. Of course, the reference diagram of the standard score can also be displayed at the same time to more clearly know the standard degree represented by the standard score. For example, the full score is 10 points, wherein the first interval is 8 points to 10 points, representing the highest standard degree, the second interval is 6 points to 8 points, excluding 8 points, representing the second standard degree, and the third interval is less than 6 points, representing a lower standard degree. Among them, each interval can be marked with different colors, and each interval can represent the change of the standard degree by the depth of the color as the score increases, that is, the larger the score, the darker the color.

[0097] In an optional embodiment, after determining the standard cross-sectional view, a color-coded image corresponding to the standard cross-sectional view can be generated based on the correspondence between the analysis data and a preset relationship, wherein the color-coded image is used to identify the analysis data of the standard cross-sectional view. Then, while displaying the standard cross-sectional view, the corresponding color-coded image is superimposed on the standard cross-sectional view, or the corresponding color-coded image can be displayed around at least one cross-sectional view. In addition, the analysis data can be used to measure the degree of standardization of the standard cross-sectional view, and the degree of standardization can correspond to a color. For example, if the degree of standardization is high, it can correspond to a more eye-catching color, such as green, red, etc. If the degree of standardization is low, it can correspond to a lighter color, such as gray of different grayscales, and the lower the degree of standardization, the lower the corresponding grayscale value. For example, if the standardization degree is high, it can correspond to a more eye-catching color, such as green, red, etc. If the standardization degree is low, it can correspond to a lighter color, such as gray of different grayscales, and the lower the standardization degree, the lower the corresponding grayscale value. For example, Figure 6 As shown, a color-coded image can be displayed around at least one standard slice image, that is, Figure 6 601 shown in FIG. 602. For another example, the color-coded diagram may also include the numerical values ​​of the analysis data of the standard cross-sectional diagram, such as Figure 7 As shown, the color-coded diagram includes the analysis data of the standard cross-sectional diagram, and is displayed superimposed on the cross-sectional diagram, i.e., "score: 0.95", and the displayed color can be determined based on the analysis data and the preset color correspondence. For example, if the analysis data is the standard probability of the standard cross-sectional diagram, when the standard probability value is higher, the displayed color is closer to green, to indicate that the standard degree of the standard cross-sectional diagram is higher; when the standard probability value is lower, the displayed color can be closer to red, or other eye-catching colors, to indicate that the standard degree of the standard cross-sectional diagram is lower. Therefore, in an embodiment of the present application, the standard degree of at least one standard cross-sectional diagram can be intuitively displayed by means of a color-coded diagram, so that the operator can observe the target hip joint more intuitively.

[0098] In an optional embodiment of the present application, after a plurality of standard cross-sections are determined, the position or size of at least one standard cross-section displayed in the display can be adjusted according to the standardization degree of at least one standard cross-section. For example, the higher the standardization degree of a standard cross-section, the larger the size of the standard cross-section displayed. For example, a cross-section with the highest standardization degree can be determined to be displayed as a standard cross-section, and other determined standard cross-sections can be displayed as alternative cross-sections. Moreover, analytical data measuring the standardization degree of at least one cross-section can be displayed simultaneously. Therefore, in an embodiment of the present application, when there are multiple standard cross-sections, they can be displayed according to the standardization degree of at least one standard cross-section, so that the operator can more intuitively determine the accurate standard cross-section.

[0099] Therefore, in the present application, an ultrasonic wave can be emitted to the target hip joint through a two-dimensional probe to obtain an ultrasonic echo signal; then, at least one cross-sectional view of the target hip joint is obtained according to the ultrasonic echo signal. According to the at least one cross-sectional view, analysis data of the at least one cross-sectional view is obtained, wherein the analysis data can be used to measure the standard degree of the at least one cross-sectional view. According to the analysis data, a standard cross-sectional view is determined from the at least one cross-sectional view, and the standard cross-sectional view and the corresponding analysis data are displayed. Therefore, in an embodiment of the present application, at least one cross-sectional view of the target hip joint can be acquired by a two-dimensional probe, which can reduce the cost relative to a three-dimensional probe. The embodiment of the present application analyzes the at least one cross-sectional view obtained to obtain analysis data for measuring the standard degree of the cross-sectional view, and determines the standard cross-sectional view according to the analysis data, so that a more standard cross-sectional view can be determined as the standard cross-sectional view. Compared with manually selecting a standard cross-sectional view, the embodiment of the present application can more directly select a cross-sectional view with a higher standard degree as the standard cross-sectional view according to the analysis data that can measure the standard degree of each cross-sectional view, and can obtain a standard cross-sectional view with a higher standard degree.

[0100] Combined with the above Figure 3 , see Figure 8 , the present application also provides an ultrasonic imaging method for a hip joint, as described below.

[0101] 801. Receive an instruction to acquire an image of a target hip joint.

[0102] Among them, combined with the above Figure 1 An ultrasound programming system is provided to receive instructions for acquiring an image of a target hip joint.

[0103] The acquisition instruction may be input by a user through an input device, such as a keyboard, a mouse, or the like.

[0104] For example, the user may input the identification, title, or storage location of the image of the target hip joint through the keyboard to obtain an instruction for acquiring the image of the target hip joint.

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

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

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

[0108] Among them, 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 also be screened to determine that each frame of ultrasound image in the video data includes an ultrasound image of the target hip joint, and obtain at least one cross-sectional image of the target hip joint.

[0109] The database in the embodiment of the present application can be understood as a memory or storage medium for storing data, that is, the aforementioned Figure 1 The memory 105 in.

[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 slice view from the at least one slice view according to the analysis data.

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

[0113] Steps 803-805 in the embodiment of the present application may refer to the aforementioned steps 304-306 and are similar, and will not be repeated here.

[0114] In an embodiment of the present application, at least one cross-sectional view can be obtained from a database, that is, an offline analysis of the target hip joint can be achieved. Furthermore, by analyzing the at least one cross-sectional view obtained, analytical data for measuring the standardization of the cross-sectional view is obtained, and a standard cross-sectional view is determined based on the analytical data, and a more standard cross-sectional view can be determined as the standard cross-sectional view. Compared with manually selecting a standard cross-sectional view, an embodiment of the present application can more directly select a cross-sectional view with a higher degree of standardization as a standard cross-sectional view based on analytical data that can measure the standardization of each cross-sectional view, and a standard cross-sectional view with a higher degree of standardization can be obtained.

[0115] See also Fig. 9 , the present application also provides another method for ultrasonic imaging of the hip joint, as described below.

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

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

[0118] Alternatively, at least one cross-sectional view of the target hip joint may be read from a database. For specific steps, refer to the aforementioned steps 801-802.

[0119] 902. Obtain analysis data of at least one slice diagram.

[0120] After obtaining at least one cross-sectional view, analysis data of the at least one cross-sectional view may be obtained. The specific method of obtaining the analysis data of the cross-sectional view may refer to the aforementioned step 304, which will not be described in detail here.

[0121] It should be understood that in the embodiment of the present application, after a cross-sectional view of a target hip joint is acquired, the cross-sectional view can be analyzed to obtain analysis data of the cross-sectional view, thereby achieving real-time analysis of the cross-sectional view.

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

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

[0124] It should be understood that in the implementation manner of the present application, the at least one cross-sectional image is acquired in the order in which the at least one cross-sectional image is acquired, and is displayed in sequence in the first display area of ​​the image display interface.

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

[0126] Wherein, while at least one cross-sectional image is displayed 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 may be independent of each other, or the second display area may be located on the first display area. Fig.10 As shown, the cross-sectional view can be displayed in the first display area, and the standard probability of the cross-sectional view can be displayed in the second display area. Fig.11 As shown, the cross-sectional view is displayed in the first display area, and the standard score of the cross-sectional view is displayed in the second display area. Of course, in some embodiments, the second display area may also be located on the first display area.

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

[0129] In some possible implementations, the system may simultaneously display multiple cross-sectional views and the analysis data corresponding to the multiple cross-sectional views, so that the user can clearly know the standardization level of each cross-sectional view, which is convenient for further screening.

[0130] In the embodiment of the present application, the cross-sectional view and the corresponding analysis data can be displayed in real time. For example, the user can transmit ultrasound to the target hip joint through a two-dimensional ultrasound probe, and receive the ultrasound echo of the target hip joint to obtain the corresponding ultrasound image, i.e., the cross-sectional view. The cross-sectional view is then analyzed to obtain a standard score for the cross-sectional view, and the cross-sectional view and the standard score are displayed at the same time, so that the user can observe the standard degree of the currently acquired ultrasound image in real time, so as to learn the method of acquiring the cross-sectional view of the target hip joint, or determine the standard cross-sectional view according to the real-time standard degree.

[0131] In a possible implementation, after the at least one cross-sectional view and the corresponding analysis data are acquired, the at least one cross-sectional view and the corresponding analysis data may 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 refer to the relevant description in the aforementioned step 305 and will not be repeated here.

[0133] In a possible implementation, after acquiring the at least one cross-sectional view and the corresponding analysis data, the user's input data may be received, and a standard cross-sectional view may be determined from the at least one cross-sectional view according to the user's input data. For example, the cross-sectional view of the target hip joint and the corresponding analysis data may be displayed in real time on the display interface, and the user may determine the cross-sectional view with the highest degree of standardization as the standard cross-sectional view by observing the displayed analysis data, 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 the embodiment of the present application, the ultrasound image of the target hip joint and the corresponding analysis data can be displayed in real time, so that the user can observe the ultrasound image of the target hip joint and the standard degree more intuitively, can be used for teaching or learning how to obtain the cross-sectional view of the target hip joint, and can allow the user to more accurately determine the standard cross-sectional view of the target hip joint.

[0135] Combined with the above Figure 3-11 , this application also provides a method for ultrasonic imaging of hip joint, please refer to Fig.12 , as described below.

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

[0137] Among them, the method of obtaining at least one cross-sectional view of the target hip joint can refer to the aforementioned steps 301-303, or the acquisition method of the aforementioned steps 801-802, which will not be repeated here.

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

[0139] Among them, step 1202 in the implementation manner of the present application can specifically refer to the aforementioned step 304, which will not be repeated here.

[0140] 1203. Determine a standard slice diagram from at least one slice diagram according to the analysis data.

[0141] Among them, the details of step 1203 can refer to the aforementioned step 305, which will not be repeated here.

[0142] In the implementation mode of the present 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 epiphysis; the center of the target hip joint is the femoral head; the outer side of the femoral head of the target hip joint is surrounded by high-echo synovial folds, joint capsule, labrum and low-echo cartilaginous acetabulum in sequence, and gradually extends to the strong-echo bony acetabular rim above the femoral head.

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

[0144] Among them, step 1204 in the embodiment of the present application can refer to the display method of the aforementioned step 306, or 903-904, and will not be repeated here.

[0145] Therefore, in the embodiments of the present application, by analyzing at least one cross-sectional view obtained, analytical data for measuring the standard degree of the cross-sectional view is obtained, and the standard cross-sectional view is determined based on the analytical data, a more standard cross-sectional view can be determined as the standard cross-sectional view. Compared with manually selecting a standard cross-sectional view, the embodiments of the present application can more directly select a cross-sectional view with a higher standard degree as the standard cross-sectional view based on the analytical data that can measure the standard degree of each cross-sectional view, and a standard cross-sectional view with a higher standard degree can be obtained.

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

[0147] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

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

[0149] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0150] If the integrated unit is implemented in the form of 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 the present application is essentially 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, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0151] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for ultrasonic imaging of a hip joint, It is characterized in that include: Controlling the probe to transmit ultrasonic waves to a target hip joint and receive ultrasonic echoes of the target hip joint; Determine at least one cross-sectional view of the target hip joint according to the ultrasonic echo; Analyze the at least one cross-sectional diagram to obtain analysis data of the at least one cross-sectional diagram, wherein the analysis data is used to measure the standard degree of the cross-sectional diagram; Determining a standard slice diagram from the at least one slice diagram according to the analysis data; The standard cross-sectional diagram and the analysis data of the standard cross-sectional diagram are displayed.

2. The method according to claim 1, It is characterized in that Determining at least one cross-sectional view of the target hip joint according to the ultrasonic echo comprises: determining at least one two-dimensional ultrasound image based on the ultrasound echo; The at least one slice image is determined based on the at least one two-dimensional ultrasound image.

3. The method according to claim 2, It is characterized in that The determining the at least one slice image according to the at least one two-dimensional ultrasound image comprises: Deleting an ultrasound image that does not meet a preset condition in the at least one two-dimensional ultrasound image, wherein the preset condition is that the ultrasound image includes the target hip joint or the number of features of the target hip joint included in the ultrasound image is greater than a threshold; The at least one cross-sectional image is determined according to the at least one deleted two-dimensional ultrasound image.

4. The method according to claim 2, It is characterized in that The determining the at least one slice image according to the at least one two-dimensional ultrasound image comprises: Collecting the position information of the probe by means of a sensor; combining the at least one two-dimensional ultrasound image with the position information to obtain volume data of the target hip joint; The at least one slice image of the target hip joint is determined from the volume data of the target hip joint.

5. The method according to claim 4, It is characterized in that Determining the at least one cross-sectional view of the target hip joint from the volume data of the target hip joint comprises: Determine a target axis from the volume data, and perform rotational cutting along a preset direction of the target axis to obtain the at least one section image; or, The volume data is cut in parallel to obtain the at least one section image.

6. The method according to any one of claims 1 to 5, It is characterized in that The step of analyzing the at least one cross-sectional view to obtain analysis data of the at least one cross-sectional view comprises: Determine a standard probability value of the at least one slice diagram by deep learning, wherein the standard probability value is directly proportional to the standard degree of the slice diagram; The standard probability value of the at least one slice diagram is used as analysis data of the at least one slice diagram.

7. The method according to any one of claims 1 to 5, It is characterized in that The step of 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 of the at least one cross-sectional image; Determine a standard score for each section image according to the tissue feature of each section image and the preset weight information of each tissue feature, wherein the standard score is in direct proportion to the standard degree of each section image; The standard score of each cross-sectional diagram is used as the analysis data of each cross-sectional diagram.

8. The method according to claim 6 or 7, It is characterized in that The method further comprises: The corresponding color-marked image is determined according to the analysis data of the standard cross-sectional image and a preset color mapping relationship, and the color-marked image is displayed superimposed on the standard cross-sectional image or displayed around the standard cross-sectional image.

9. The method according to claim 6, It is characterized in that The determining of the standard probability value of the at least one section image by deep learning includes determining by deep learning whether the target hip joint in the at least one section meets a preset condition, and determining the standard probability value of the at least one section image based on the condition of meeting the preset condition, wherein the meeting the preset condition includes at least one of the following: The strong echo below the target hip joint is the femoral epiphysis; The center of the target hip joint is the femoral head; The outer side of the femoral head of the target hip joint is surrounded by the high-echo synovial folds, joint capsule, labrum and low-echo cartilaginous acetabulum in sequence, and gradually extends to the high-echo bony acetabular rim above the femoral head.

10. The method according to claim 7, It is characterized in that The detecting of the tissue feature of each of the at least one cross-sectional image comprises detecting whether the target hip joint in each of the at least one cross-sectional image satisfies at least one of the following: The strong echo below the target hip joint is the femoral epiphysis; The center of the target hip joint is the femoral head; The outer side of the femoral head of the target hip joint is surrounded by the high-echo synovial folds, joint capsule, labrum and low-echo cartilaginous acetabulum in sequence, and gradually extends to the high-echo bony acetabular rim above the femoral head.

11. The method according to any one of claims 1 to 10, It is characterized in that The method comprises: The at least one cross-sectional view is displayed in a first display area of ​​the image display interface, and analysis data of the at least one cross-sectional view is displayed in a second display area of ​​the image display interface.

12. The method according to claim 11, It is characterized in that The method further comprises: receiving an instruction to hide the second display area; The second display area is hidden according to the hiding instruction.

13. The method according to any one of claims 1 to 12, It is characterized in that If there is one standard cross-sectional view, determining the standard cross-sectional view from the at least one cross-sectional view according to the analysis data includes at least one of the following methods: The analysis data includes a standard score, and the section diagram with the highest standard score is determined as the standard section diagram; The analysis data includes a standard probability value, and the section view with the highest standard probability value is determined as the standard section view; If there are multiple standard cross-sectional views, determining a standard cross-sectional view from the at least one cross-sectional view according to the analysis data includes at least one of the following methods: The analysis data includes a standard score, and all the section graphs with a standard score higher than a threshold are determined as the standard section graphs; The analysis data includes a standard probability value, and all section views with a standard probability value higher than a threshold are determined as the standard section views.

14. The method according to claim 13, It is characterized in that The number of the standard slice images is determined by receiving input data input by the user and / or a preset number input by the user.

15. The method according to any one of claims 1 to 14, It is characterized in that The analysis data for displaying the standard slice diagram includes: If the analysis data includes a standard score, displaying the standard score, or displaying a color and / or shape representing the standard score; If the analysis data includes a standard probability value, the standard probability value is displayed, or a color and / or shape representing the standard probability value is displayed.

16. A method for ultrasonic imaging of a hip joint, It is characterized in that include: receiving an image acquisition instruction for a target hip joint; Acquire at least one cross-sectional image of the target hip joint from a database according to the image acquisition instruction; Analyze the at least one cross-sectional diagram to obtain analysis data of the at least one cross-sectional diagram, wherein the analysis data is used to measure the standard degree of the cross-sectional diagram; Determining a standard slice diagram from the at least one slice diagram according to the analysis data; The standard cross-sectional diagram and the analysis data of the standard cross-sectional diagram are displayed.

17. The method according to claim 16, It is characterized in that The step of analyzing the at least one cross-sectional view to obtain analysis data of the at least one cross-sectional view comprises: Determine a standard probability value of the at least one slice diagram by deep learning, wherein the standard probability value is directly proportional to the standard degree of the slice diagram; The standard probability value of the at least one slice diagram is used as analysis data of the at least one slice diagram.

18. The method according to claim 17, It is characterized in that The step of 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 of the at least one cross-sectional image; Determine a standard score for each section image according to the tissue feature of each section image and the preset weight information of each tissue feature, wherein the standard score is in direct proportion to the standard degree of each section image; The standard score of each cross-sectional diagram is used as the analysis data of each cross-sectional diagram.

19. The method according to any one of claims 16 to 18, It is characterized in that The method further comprises: The corresponding color-marked image is determined according to the analysis data of the standard cross-sectional image and a preset color mapping relationship, and the color-marked image is displayed superimposed on the standard cross-sectional image or displayed around the standard cross-sectional image.

20. The method according to claim 17, It is characterized in that The determining of the standard probability value of the at least one section image by deep learning includes determining by deep learning whether the target hip joint in the at least one section meets a preset condition, and determining the standard probability value of the at least one section image based on the condition of meeting the preset condition, wherein the meeting the preset condition includes at least one of the following: The strong echo below the target hip joint is the femoral epiphysis; The center of the target hip joint is the femoral head; The outer side of the femoral head of the target hip joint is surrounded by the high-echo synovial folds, joint capsule, labrum and low-echo cartilaginous acetabulum in sequence, and gradually extends to the high-echo bony acetabular rim above the femoral head.

21. The method according to claim 18, It is characterized in that The detecting of the tissue feature of each of the at least one cross-sectional image comprises detecting whether the target hip joint in each of the at least one cross-sectional image satisfies at least one of the following: The strong echo below the target hip joint is the femoral epiphysis; The center of the target hip joint is the femoral head; The outer side of the femoral head of the target hip joint is surrounded by the high-echo synovial folds, joint capsule, labrum and low-echo cartilaginous acetabulum in sequence, and gradually extends to the high-echo bony acetabular rim above the femoral head.

22. The method according to any one of claims 16 to 18, It is characterized in that The database stores image data and / or video data, and acquiring at least one cross-sectional view of the target hip joint from the database includes: At least one cross-sectional view of the target hip joint is acquired from the image data and / or the video data stored in the database.

23. A method for ultrasonic imaging of a hip joint, It is characterized in that include: Controlling the probe to transmit ultrasonic waves to a target hip joint and receive ultrasonic echoes of the target hip joint; Determine at least one cross-sectional view of the target hip joint according to the ultrasonic echo; Analyze the at least one cross-sectional diagram to obtain analysis data of the at least one cross-sectional diagram, wherein the analysis data is used to measure the standard degree of the cross-sectional diagram; Determining a standard slice diagram from the at least one slice diagram according to the analysis data; Displays the standard slice diagram.

24. The method according to claim 23, It is characterized in that The step of analyzing the at least one cross-sectional view to obtain analysis data of the at least one cross-sectional view comprises: Determine a standard probability value of the at least one slice diagram by deep learning, wherein the standard probability value is directly proportional to the standard degree of the slice diagram; The standard probability value of the at least one slice diagram is used as analysis data of the at least one slice diagram.

25. The method according to claim 23, It is characterized in that The step of 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 of the at least one cross-sectional image; Determine a standard score for each section image according to the tissue feature of each section image and the preset weight information of each tissue feature, wherein the standard score is in direct proportion to the standard degree of each section image; The standard score of each cross-sectional diagram is used as the analysis data of each cross-sectional diagram.

26. The method according to claim 24, It is characterized in that The determining of the standard probability value of the at least one section image by deep learning includes determining by deep learning whether the target hip joint in the at least one section meets a preset condition, and determining the standard probability value of the at least one section image based on the condition of meeting the preset condition, wherein the meeting the preset condition includes at least one of the following: The strong echo below the target hip joint is the femoral epiphysis; The center of the target hip joint is the femoral head; The outer side of the femoral head of the target hip joint is surrounded by the high-echo synovial folds, joint capsule, labrum and low-echo cartilaginous acetabulum in sequence, and gradually extends to the high-echo bony acetabular rim above the femoral head.

27. The method according to claim 25, It is characterized in that The detecting of the tissue feature of each of the at least one cross-sectional image comprises detecting whether the target hip joint in each of the at least one cross-sectional image satisfies at least one of the following: The strong echo below the target hip joint is the femoral epiphysis; The center of the target hip joint is the femoral head; The outer side of the femoral head of the target hip joint is surrounded by the high-echo synovial folds, joint capsule, labrum and low-echo cartilaginous acetabulum in sequence, and gradually extends to the high-echo bony acetabular rim above the femoral head.

28. A hip joint imaging system, It is characterized in that include: Probe, transmit / receive sequence circuit, processor and display; The transmitting / receiving sequence circuit is used to stimulate the probe to transmit ultrasonic waves to the target hip joint and receive ultrasonic echoes of the target hip joint; The processor is used to perform the method according to any one of claims 1 to 27 according to the ultrasonic echo; The display is used to display the result processed by the processor.

Images