Hip joint imaging method and hip joint imaging system

Abstract

The present application provides a hip joint imaging method and a hip joint imaging system for quickly determining measurement information of the hip joint. The method includes: obtaining a cross-sectional view of a target hip joint; determining whether the cross-sectional view meets a preset standard; if not, obtaining a first confidence level for the judgment result that the cross-sectional view does not meet the preset standard; if yes, obtaining tissue feature information of the target hip joint in the cross-sectional view; determining measurement information of the target hip joint according to the tissue feature information of the target hip joint, the measurement information including at least one of angle measurement information and distance measurement information between tissue features of the target hip joint; and displaying the cross-sectional view and the measurement information.

Description

Technical Field

[0001] The present application relates to the field of medical devices, and in particular to a hip joint imaging method and a hip joint imaging system. Background Art

[0002] Ultrasound imaging is widely used in the analysis of various diseases. Ultrasound imaging of the hip joint can be performed to analyze the characteristics of the hip joint to determine the health status of the hip joint.

[0003] For example, developmental dysplasia of the hip (DDH) is the most common hip disease in children. It is a general term for a series of hip abnormalities that exist at birth or continue to develop after birth: including stable hip joints with acetabular dysplasia, hip subluxation, complete hip dislocation but can be reduced, and complete hip dislocation that cannot be reduced. The currently recognized principle of DDH treatment is early detection and early treatment. The earlier the treatment, the simpler the treatment method, and the better the treatment effect. Therefore, newborn DDH screening is particularly important. Ultrasound imaging is the most common and most useful imaging diagnostic method for early DDH. Its advantages include: (1) The hip joints of newborns and infants are mainly composed of cartilage, and the femoral head has not yet ossified. It is difficult for X-rays to accurately display the structure and morphology of the hip joint, and there is radiation damage. Ultrasound imaging can well display the anatomical structure of the hip joint and surrounding soft tissues, as well as the relative position of the femoral head and acetabulum. It can visually observe the cartilage and bone structure of the hip joint, and evaluate the development of the acetabulum and the position of the femoral head, especially for infants under 4 months old whose femoral head ossification center has not yet appeared. (2) Ultrasound imaging diagnosis has important diagnostic value for occult or critical lesions such as developmental dysplasia of the hip, especially for infants whose physical examinations indicate hip abnormalities or high-risk factors. (3) Ultrasound examination is non-invasive, safe, easy to perform, low-cost, and can be dynamically observed. It is particularly suitable for screening high-risk groups for this disease and continuous follow-up after treatment.

[0004] The Graf method is the most commonly used ultrasound DDH assessment method. It is a static method of DDH ultrasound examination pioneered by Austrian scholar Graf. This method has the advantages of standardization, standardization, repeatability and objectivity of reference indicators. Therefore, it is widely used all over 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. Whether the coronal section is correct should be determined by the anatomical structure of the sonogram: the strong echo below the hip joint is the junction of cartilage and bone (femoral epiphyseal plate); the center of the hip joint is the femoral head, which is manifested as an oval low-echo area with scattered medium-echo points inside; the lateral 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. The above anatomical structure points should be clearly identified, otherwise the ultrasound image cannot be used.

[0005] In addition to the Graf method, the Morin method can also be used to measure the femoral head percentage of cover (FHC). The ratio of the femoral head bony acetabular coverage to the femoral head diameter reflects the stability of the hip joint and evaluates the status of the hip joint.

[0006] However, in the existing scheme, the measurement of various parameters of the hip joint of the newborn is relatively complicated and prone to measurement errors. Therefore, how to improve the measurement accuracy of the hip joint has become an urgent problem to be solved. Summary of the invention

[0007] The present application provides a hip joint imaging method and a hip joint imaging system for quickly determining measurement information of the hip joint.

[0008] A first aspect of the present application provides a hip joint imaging method, characterized by comprising:

[0009] Obtain a cross-sectional view of a target hip joint; determine whether the cross-sectional view meets a preset standard; if not, obtain a first confidence level for the judgment result that the cross-sectional view does not meet the preset standard; if yes, obtain tissue feature information of the target hip joint in the cross-sectional view. Determine measurement information of the target hip joint based on the tissue feature information of the target hip joint, the measurement information including at least one of angle measurement information and distance measurement information between tissue features of the target hip joint; and display the cross-sectional view and the measurement information.

[0010] A second aspect of the present application provides a method for imaging a hip joint, comprising:

[0011] Acquire a cross-sectional view of a target hip joint; acquire tissue feature information of the target hip joint in the cross-sectional view; determine measurement information of the target hip joint based on the tissue feature information of the target hip joint, wherein the measurement information includes at least one of angle measurement information and distance measurement information between tissue features of the target hip joint; and display the cross-sectional view and the measurement information.

[0012] A third aspect of the present application provides a hip joint imaging system, comprising: a processor and a display;

[0013] The processor is used to obtain a cross-sectional image of a target hip joint;

[0014] The processor is further configured to determine whether the cross-sectional view meets a preset standard;

[0015] The processor is further configured to obtain a first confidence level for a judgment result that the cross-sectional image does not meet the preset standard if the cross-sectional image does not meet the preset standard;

[0016] The processor is further configured to obtain tissue feature information of the target hip joint in the cross-sectional image if the cross-sectional image meets a preset standard.

[0017] The processor is further configured to determine measurement information of the target hip joint according to tissue feature information of the target hip joint, wherein the measurement information includes at least one of angle measurement information and distance measurement information between tissue features of the target hip joint;

[0018] The display is used to display the cross-sectional view and the measurement information.

[0019] A fourth aspect of the present application provides a hip joint imaging system, comprising: a processor and a display;

[0020] The processor is used to obtain a cross-sectional image of a target hip joint;

[0021] The processor is further used to obtain tissue feature information of the target hip joint in the cross-sectional image;

[0022] The processor is further configured to determine measurement information of the target hip joint according to tissue feature information of the target hip joint, wherein the measurement information includes at least one of angle measurement information and distance measurement information between tissue features of the target hip joint;

[0023] The display is used to display the cross-sectional view and the measurement information.

[0024] A fifth 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, the computer executes the hip joint imaging method provided in the first aspect or the second aspect.

[0025] In the present application, the cross-sectional view of the target hip joint is first obtained, and it can be determined whether the cross-sectional view meets the preset standard. Usually, if the target hip joint is dislocated, or the various tissue features in the cross-sectional view are not coplanar due to irregular scanning, the cross-sectional view obtained will not meet the preset standard. It is not necessary to obtain measurement information for the cross-sectional view that does not meet the preset standard, which can avoid inaccurate measurement information and improve accuracy. If the cross-sectional view meets the preset standard, the tissue feature information of the target hip joint in the cross-sectional view can be obtained, and the measurement information of the hip joint can be determined according to the tissue feature information, including information such as the angle and distance of the target hip joint. Therefore, in the present application, the cross-sectional view can be identified to automatically detect the features of the hip joint in the cross-sectional view, and the measurement information of the hip joint can be determined by the tissue feature information. No manual measurement is required, which improves the efficiency of measurement and the accuracy of measurement of the hip joint. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A schematic diagram of a possible hip joint imaging system provided in an embodiment of the present application;

[0027] Figure 2 A schematic diagram of a possible probe structure provided in an embodiment of the present application;

[0028] Figure 3 A schematic flow chart of a possible hip joint imaging method provided in an embodiment of the present application;

[0029] Figure 4 A possible schematic diagram of angle α and angle β provided in an embodiment of the present application;

[0030] Figure 5 A schematic diagram of another possible angle α and angle β provided in an embodiment of the present application;

[0031] Figure 6 A possible schematic diagram of the medial tangent line, lateral tangent line and baseline of the femoral head provided in an embodiment of the present application;

[0032] Figure 7 A possible schematic diagram of the medial tangent line, lateral tangent line and baseline of the femoral head provided in an embodiment of the present application;

[0033] Figure 8 A possible hip joint schematic diagram provided for an embodiment of the present application;

[0034] Fig. 9Another possible hip joint schematic diagram provided for an embodiment of the present application;

[0035] Fig.10 Another possible hip joint schematic diagram provided for an embodiment of the present application;

[0036] Fig.11 A schematic diagram of a possible cross-sectional view and reference typing data display screen provided in an embodiment of the present application;

[0037] Fig.12 A schematic flow chart of another possible hip joint imaging method provided in an embodiment of the present application;

[0038] Fig.13 A possible cross-sectional view and a schematic diagram of a confidence display screen provided in an embodiment of the present application;

[0039] Fig.14 A possible cross-sectional view and a schematic diagram of a prompt information display screen provided in an embodiment of the present application;

[0040] Fig.15 A schematic diagram of a possible cross-sectional view, measurement information and confidence display screen provided in an embodiment of the present application;

[0041] Fig.16 A schematic diagram of another possible cross-sectional view, measurement information and confidence display screen provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] The present application provides a hip joint imaging method and a hip joint imaging system for quickly determining measurement information of the hip joint.

[0043] 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.

[0044] Figure 1It is a 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 processor 103, a memory 105 and a display 104. The memory 105 stores data or programs, and the processor 103 can directly obtain a cross-sectional view of the target hip joint. And according to the cross-sectional view, the tissue feature information of the target hip joint is obtained, and the measurement information of the target hip joint is determined according to the tissue feature information of the target hip joint. The measurement information may include at least one of the angle measurement information and the distance measurement information between the tissue features of the target hip joint. The cross-sectional view and the measurement information of the target hip joint can be displayed in the display 104.

[0045] In an optional embodiment of the present application, the cross-sectional image of the target hip joint may be stored in the memory 105 , and the processor 103 may directly read the cross-sectional image of the target hip joint from the memory 105 .

[0046] In an optional embodiment of the present application, in addition to reading the cross-sectional view of the target hip joint from the memory 105, the processor 103 can also directly send ultrasound to the target hip joint to obtain the cross-sectional view of the target hip joint. Therefore, as an option, the hip joint imaging system 10 can also include a probe 100, wherein the probe 100 can be an ultrasonic probe, a transmit / receive selection switch 101, and a transmit / receive sequence controller 102. The transmit / receive sequence controller 102 can excite the ultrasonic probe 100 to transmit ultrasound to the target hip joint, and can also control the ultrasonic probe 100 to receive the ultrasonic echo returned from the target hip joint, thereby obtaining an ultrasonic echo signal / data, which may also be referred to as an ultrasonic echo signal hereinafter. The processor 103 processes the ultrasonic echo signal / data to obtain a cross-sectional view of the target hip joint.

[0047] 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.

[0048] The number of displays 104 in the embodiment of the present application may be one or more. For example, when there are multiple displays, they may include a first display, a second display, a third display, etc., and the first display, the second display, the third display, etc. may be used to display the same or different pictures. When there is only one display, the pictures to be displayed by the first display, the second display, the third display, etc. may also be displayed.

[0049] 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, which may be two or more. The array element may be used to convert electrical signals into ultrasonic waves, transmit ultrasonic waves, receive returned ultrasonic echoes, and convert ultrasonic echoes into electrical signals to obtain ultrasonic echo data / signals. The shape of the array may be a linear arrangement or a fan-shaped arrangement, etc., which may be adjusted according to the actual application scenario. Each array element transmits ultrasonic waves or receives ultrasonic echoes by receiving the transmit signal of the transmit circuit and the receive signal sent by the receive circuit. Specifically, the scenario in which the probe 100 transmits ultrasonic waves 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.

[0050] In an optional embodiment of the present application, the memory 105 of the aforementioned hip joint imaging system 10 may be a flash memory card, a solid-state memory, a hard disk, etc.

[0051] 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 imaging method of the hip joint in each embodiment of the present application can be executed.

[0052] 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.

[0053] In an optional embodiment of the present application, the processor 103 of the aforementioned hip joint imaging system 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 hip joint imaging method in the various embodiments of the present application.

[0054] Based on the above Figure 1 The present application provides a hip joint imaging method, the steps of which can be performed by the aforementioned Figure 1 The hip joint imaging system in the embodiment is performed, that is, the steps in the following embodiments can be performed by Figure 1 The hip imaging system provided by Figure 3, a schematic flow chart of a hip joint imaging method provided in the present application may include:

[0055] 301. Obtain a cross-sectional image of the target hip joint.

[0056] First, a cross-sectional image of the target hip joint is obtained, where the cross-sectional image includes various tissue features of the target hip joint.

[0057] Typically, the cross-sectional image may be a coronal cross-sectional image of the target hip joint, which may also be referred to as a coronal cross-sectional image hereinafter.

[0058] The cross-sectional view of the target hip joint may be a coronal cross-sectional view of the target hip joint, and the cross-sectional view may include the position and shape of each tissue of the target hip joint, etc. For example, the cross-sectional view may include the junction of cartilage and bone, femoral head, lower edge of ilium, bone edge turning point (point where the acetabulum changes from concave to convex), straight outer edge of ilium, cartilaginous acetabular top, labrum, joint capsule, synovial fold, greater trochanter of femur, etc. The specific manifestation may be that the strong echo 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 is manifested as an oval low-echo area with medium echo in the form of dots; the outer side of the femoral head is surrounded by synovial folds, joint capsule, labrum and low-echo cartilaginous acetabulum with high echo in sequence, and gradually extends to the strong-echo bony acetabular rim above the femoral head.

[0059] In an optional embodiment of the present application, the cross-sectional view of the target hip joint can be read from a memory. It can be understood that after obtaining the cross-sectional view of the target hip joint in advance, the cross-sectional view can be saved in the memory. When the cross-sectional view is used, the cross-sectional view can be extracted from the memory.

[0060] In one embodiment of the present application, the at least one cross-sectional image may be a cross-sectional image with a standard degree greater than a threshold value, and the standard degree may be measured by a variety of parameters, for example, the probability of each cross-sectional image being a cross-sectional image, or the standard degree score value determined for each cross-sectional image in a preset manner, etc. In addition, the at least one cross-sectional image may also include a preset tissue outline, or may be a cross-sectional image determined in other ways, etc., and the present application does not limit this.

[0061] In an optional embodiment of the present application, the cross-sectional view of the target hip joint can also be obtained by sending ultrasound to the target hip joint. Figure 1The transmit / receive sequence controller 102 in the hip joint imaging system excites the ultrasonic probe 100 to transmit ultrasonic waves to the target hip joint, and controls the ultrasonic probe 100 to receive ultrasonic echoes returned from the target hip joint, thereby obtaining an ultrasonic echo signal, and the processor 103 processes the ultrasonic echo signal / data to obtain a cross-sectional view of the target hip joint. Usually, when sending ultrasonic waves to the target hip joint through the probe, the long axis of the probe needs to be parallel to the axis of the body (the tilt of the probe may cause overdiagnosis), and a standard image of the coronal section of the hip joint is obtained at the greater trochanter of the femur. In addition, the volume data of the target hip joint can be obtained by sending ultrasonic waves to the target hip joint, and the cross-sectional view of the target hip joint can be extracted from the volume data, which can avoid inaccurate coronal sections caused by manual measurement.

[0062] Specifically, after obtaining the volume data, the volume data can be cut to obtain multiple cross-sectional images, and then a cross-sectional image with a standard degree higher than a threshold is obtained from the multiple cross-sectional images as the cross-sectional image. Cutting can be performed directly from a preset angle to obtain at least one coronal cross-sectional image of the target hip joint, that is, a cross-sectional image; it can also be that the volume data is cut in parallel along a preset direction to obtain multiple cross-sectional images, and then a cross-sectional image with a standard degree higher than a threshold is determined from the multiple cross-sectional images; it can also be that rotation cutting is performed with the target axis as the axis to obtain multiple cross-sectional images, and then a cross-sectional image with a standard degree higher than a threshold is determined from the multiple cross-sectional images. In addition, if there are multiple cross-sectional images with a standard degree higher than a threshold, the one with the highest standard degree can be selected as the cross-sectional image of the target hip joint in this application, or any one of the cross-sectional images with a standard degree higher than the threshold can be selected as the cross-sectional image of the target hip joint in this application. Among them, the standard degree can be measured by the standard degree score value of each cross-section obtained by deep learning calculation, or it can be directly measured by determining the probability of each cross-section being a standard cross-section through deep learning, and can be adjusted according to actual applications. Deep learning can also include deep learning methods such as convolutional neural networks, recursive neural networks, and recurrent neural networks. The method of obtaining at least one cross-section can be adjusted according to the actual application scenario. The embodiments of the present application are only exemplary and not limiting.

[0063] In an optional embodiment of the present application, after the cross-sectional view of the target hip joint is acquired, the cross-sectional view may be displayed on a display.

[0064] 302. Obtain tissue feature information of the target hip joint in the cross-sectional image.

[0065] After obtaining the cross-sectional view of the target hip joint, tissue feature information of the target hip joint can be obtained from the cross-sectional view of the target hip joint. The tissue feature information may include information such as the morphology, position, size, etc. of each tissue feature of the target hip joint included in the standard image.

[0066] For example, if the Graf method is used to determine the health status of the target hip joint, the tissue feature information that needs to be obtained may include: the straight ilium, the lower edge of the ilium, the labrum, the bone edge turning, etc. of the target hip joint. If the Morin method is used to determine the health status of the target hip joint, the straight ilium and the femoral head of the target hip joint need to be included.

[0067] In an optional embodiment of the present application, the tissue feature information in the cross-sectional view of the target hip joint can be identified by deep learning. Specifically, a large number of cross-sectional views can be used to train the model first, and the tissue feature information in the large number of cross-sectional views can be recorded and analyzed to determine the parameters of each tissue feature of the cross-sectional view, so as to obtain a deep learning model at the training location. Then, after obtaining the cross-sectional view of the target hip joint, the cross-sectional view is substituted into the model to determine the tissue feature information included in the cross-sectional view. The deep learning in the embodiment of the present application can be a deep learning method such as a convolutional neural network, a recursive neural network, a recurrent neural network, etc. 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 here.

[0068] 303. Determine measurement information of the target hip joint according to tissue characteristic information of the target hip joint.

[0069] After obtaining the tissue feature information of the target hip joint, the measurement information of the target hip joint can be determined based on the tissue feature information. The tissue feature information may include the relative position, shape, size, etc. of each tissue feature of the target hip joint. The measurement information may include angle measurement information or distance measurement information of each tissue feature, etc. In addition, the distance measurement information may also be represented by a ratio, for example, the distance measurement information may be the ratio of the distances between the tissue features of the target hip joint.

[0070] In an optional embodiment of the present application, the measurement information may include the bone vertex angle and the cartilage vertex angle. In the following application embodiments, the bone vertex angle may also be referred to as the α angle, and the cartilage vertex angle may also be referred to as the β angle. The specific method of determining the bone vertex angle and the cartilage vertex angle may be: after obtaining the tissue feature information of the target hip joint, the tissue feature information may include the straight ilium, the lower edge of the ilium, the labrum, the bone edge turning point and other tissue features of the target hip joint, and the baseline, the bone vertex line and the cartilage vertex line may be determined based on the tissue feature information. Then determine the angle between the baseline and the bone vertex line, that is, the bone vertex angle, and the angle between the baseline and the cartilage vertex line, that is, the cartilage vertex angle. Among them, the baseline can be the line corresponding to the straight ilium, the bone vertex line can be the tangent line between the lower edge of the ilium and the lateral edge of the bony acetabulum, and the cartilage vertex line can be the line connecting the labrum and the lateral edge of the bony acetabulum. Exemplarily, as Figure 4As shown in FIG. 4 , the baseline 401 is a line corresponding to the straight ilium, the bone top line 402 is a tangent line between the lower edge of the ilium and the lateral edge of the bony acetabulum, and the cartilage top line 403 is a line connecting the labrum and the lateral edge of the bony acetabulum. The α angle is the angle between the baseline 401 and the bone top line 402, and the β angle is the angle between the baseline 401 and the bone top line 403. For example, Figure 5 As shown, in actual application scenarios, the angle α and the angle β can be determined based on the baseline, the bone top line and the cartilage top line. Figure 4 and Figure 5 The positions of the baseline, bone top line and cartilage top line are only marked as examples. In actual applications, the positions of the baseline, bone top line and cartilage top line can be more precise. This is only an example and not a limitation.

[0071] In an optional embodiment of the present application, after obtaining the bone vertex angle and the cartilage vertex angle, the state of the target hip joint can be further analyzed according to the bone vertex angle and the cartilage vertex angle to obtain reference classification data of the target hip joint, i.e., the Graf classification result. For example, after determining the α angle and the β angle, the state of the target hip joint can also be determined in combination with age, etc. Specifically, when the α angle is greater than or equal to 60° and the β angle is less than or equal to 55°, the classification data of the target hip joint can be determined as type Ia; when the α angle is greater than or equal to 60° and the β angle is greater than or equal to 55°, the classification data of the target hip joint can be determined as type Ib; when the α angle is any value between 50° and 59° and the age is between 0 and 12 weeks, the classification data of the target hip joint can be determined as type IIa; when the α angle is any value between 50° and 59° and the age is greater than 12 weeks, the classification data of the target hip joint can be determined as type IIb; when the α angle is any value between 43° and 49° and the β angle is less than or equal to 77°, the classification data of the target hip joint can be determined as type IIc; when the α angle is any value between 43° and 49° and the β angle is greater than 77°, the classification data of the target hip joint can be determined as type D.

[0072] In an optional embodiment of the present application, the measurement information may include FHC. The FHC is the ratio of the distance between the medial tangent of the femoral head and the baseline to the distance between the medial tangent of the femoral head and the lateral tangent of the femoral head. The distance between the medial tangent of the femoral head and the lateral tangent can also be understood as the diameter of the femoral head. The method for determining the distance between the medial tangent of the femoral head and the baseline and the diameter of the femoral head can be: determine the medial tangent of the femoral head, the lateral tangent of the femoral head and the baseline, and then calculate the distance between the medial tangent of the femoral head and the lateral tangent of the femoral head, which can also be recorded as D, and calculate the distance between the medial tangent of the femoral head and the baseline, which can also be recorded as d. Then, according to the ratio of d to D, that is, d / D, the value of FHC is determined. For example, Figure 6As shown, after the straight ilium of the target hip joint is determined, the baseline 601 is determined. After the femoral head is determined, the lateral tangent 602 of the femoral head and the lateral tangent 603 of the femoral head are determined. The distance d between the medial tangent 603 and the baseline 601 is calculated, and the distance D between the medial tangent 603 and the lateral tangent 602 is calculated. Then the ratio d / D of d to D is determined to obtain the value of FHC. For example, in practical applications, Figure 7 As shown, after determining the baseline, the medial tangent and the lateral tangent of the femoral head, the distance d between the baseline and the medial tangent, and the distance D between the medial tangent and the lateral tangent can be calculated. In the embodiment of the present application, the FHC value of the target hip joint can be determined according to the tissue characteristics of the target hip joint, which can reduce the measurement error compared to manual measurement. It should be understood that Figure 6 and Figure 7 The positions of the baseline, the medial tangent of the femoral head and the lateral tangent of the femoral head are only marked for example. In actual applications, the positions of the baseline, the medial tangent of the femoral head and the lateral tangent of the femoral head can be more precise. This is only an example and not a limitation.

[0073] In an optional embodiment of the present application, after determining the value of FHC, the target hip joint can be further analyzed to determine the state of the target hip joint. For example, when the value of FHC is >58%, the target hip joint is in a normal development state; when the value of FHC is <33%, the target hip joint is in an abnormal development state; when the value of FHC is any value between 33% and 58%, the target hip joint is in a partially normal and partially abnormal state.

[0074] In an optional embodiment of the present application, the measurement information may include angle α, angle β, and FHC at the same time, so as to comprehensively analyze the state of the target hip joint in combination with angle α, angle β, and FHC, so that the state of the target hip joint is more accurate.

[0075] 304. Display the cross-sectional view and measurement information.

[0076] After obtaining the standard section and the corresponding measurement information, the section image and the measurement information can be displayed on a display. The measurement information can include angle measurement information or distance measurement information of various tissue features of the target hip joint, etc. In addition, the distance measurement information can also be represented by a ratio, for example, the distance measurement information can be the ratio of the distances between the tissue features of the target hip joint.

[0077] In an optional embodiment of the present application, the measurement information may include angle α and angle β. After obtaining angle α and angle β, the cross-sectional view and the angle α and angle β may be displayed simultaneously. Specifically, the display method may be to display the angle α and angle β superimposed on the cross-sectional view, or to display the angle α and angle β around the cross-sectional view. For example, Figure 8As shown in FIG. 1 , the angle α and the angle β can be superimposed on the cross-sectional view. Fig. 9 As mentioned above, the angle α and the angle β may also be displayed around the section view.

[0078] In an optional embodiment of the present application, after obtaining the value of FHC, the cross-sectional view and the value of FHC can be displayed simultaneously. The value of FHC can be displayed by superimposing it on the cross-sectional view, or the value of FHC can be displayed around the cross-sectional view. For example, Fig.10 As shown, the FHC value can be superimposed on the cross-sectional view, wherein the distance D between the medial tangent line of the femoral head and the lateral tangent line of the femoral head, and the distance d between the medial tangent line of the femoral head and the baseline can also be displayed simultaneously. Fig.11 As shown, the value of the FHC can also be displayed around the slice diagram.

[0079] In an optional embodiment of the present application, the measurement information may also include the angle α, the angle β, and the value of FHC at the same time. Therefore, the cross-sectional view, and the values ​​of the angle α, the angle β, and FHC may also be displayed at the same time.

[0080] In the present application, a cross-sectional view of the target hip joint is first obtained, and then the tissue characteristic information of the target hip joint in the cross-sectional view is detected, and the measurement information of the hip joint is determined based on the tissue characteristic information. Therefore, in the present application, the cross-sectional view can be identified to automatically detect the characteristics of the hip joint in the cross-sectional view, and the measurement information of the hip joint can be determined based on the tissue characteristic information. There is no need for manual measurement, which improves the efficiency of measurement and the accuracy of measurement of the hip joint.

[0081] Furthermore, when the state of the target hip joint is that the various tissue features are not coplanar, it is not necessary to measure the target tissue features. Fig.12 Another schematic flow chart of the imaging method of the hip joint in the embodiment of the present application may include:

[0082] 1201. Obtain a cross-sectional image of the target hip joint.

[0083] Step 1201 in the embodiment of the present application is similar to the aforementioned Figure 3 The process is similar to step 301 in the process, and will not be described in detail here.

[0084] 1202. Determine whether the cross-sectional view meets the preset standard. If so, execute step 1204; if not, execute step 1203.

[0085] After obtaining the cross-sectional image, it is also possible to determine whether the cross-sectional image meets the preset standard. If the cross-sectional image meets the preset standard, step 1204 can be executed to continue the tissue feature information and measurement information of the cross-sectional image. If the cross-sectional image does not meet the preset standard, step 1203 can be executed to directly obtain the first confidence level of the judgment result that the cross-sectional image does not meet the preset standard.

[0086] Specifically, judging whether the cross-sectional view meets the preset standard can be: identifying whether the morphology of the preset tissue feature in the cross-sectional view is the preset morphology, if the preset tissue feature is the preset morphology, then the cross-sectional view meets the preset standard, if the tissue feature is not the preset morphology, then the cross-sectional view does not meet the preset standard. For example, the acetabulum morphology of the target hip joint can be identified, if the acetabulum morphology of the target hip joint is the preset morphology, then step 1204 is executed, i.e., the reference typing data of the target hip joint is determined according to the acetabulum morphology; if the acetabulum morphology of the target hip joint is not the preset morphology, then step 1203 is executed, i.e., the tissue feature information of the target hip joint in the cross-sectional view is obtained. Usually, in actual applications, if the state of the target hip joint is dislocated, the health state of the target hip joint can be determined, and there is no need to continue to obtain the measurement information of the target hip joint.

[0087] Exemplarily, the acetabulum morphology of the target hip joint can be identified by, after obtaining the cross-sectional view of the target hip joint, the acetabulum position of the target hip joint can be determined by deep learning or by comparing pixel value differences, and then the acetabulum morphology of the target hip joint is obtained according to the acetabulum position. It can then be determined whether the acquired acetabulum morphology of the target hip joint is a preset morphology. If the acetabulum morphology of the target hip joint is a preset morphology, the tissue feature information of the target hip joint included in the cross-sectional view can be continued to be obtained; if the acetabulum morphology of the target hip joint is not a preset morphology, the reference typing data of the target hip joint can be determined directly according to the acetabulum morphology of the target hip joint. The preset morphology can be that the cartilage of the target hip joint can cover the femoral head. Specifically, the acetabulum morphology of the target hip joint can be identified by deep learning. The deep learning method can be a deep learning method such as a convolutional neural network, a feature detection network, a recursive neural network, a recurrent neural network, etc. Specifically, a large number of sectional views of preset shapes may be used to perform model training first, and characteristic parameters of the acetabulum shape of the preset shape may be obtained. Then, after obtaining the sectional views, each sectional view may be substituted into the model to identify the acetabulum shape of the target hip joint. The acetabulum shape of the target hip joint may also be determined by pixel value comparison. For example, the pixel value of each pixel point in the sectional view may be determined by a traditional pixel value comparison method, and the acetabulum contour of the target hip joint in the sectional view may be determined based on the difference between the pixel values, and then the acetabulum shape of the target hip joint may be determined based on the acetabulum contour.

[0088] In an optional embodiment of the present application, after the cross-sectional view is displayed, input data of the cross-sectional view can be received, and whether the cross-sectional view meets the preset standard can be determined based on the input data. If so, step 1204 is executed, and if not, step 1203 is executed. For example, after the cross-sectional view is displayed, the user can manually identify whether it is a preset shape based on the cross-sectional view. If the acetabulum shape of the target hip joint is the preset shape, step 604 can be continued, and if the acetabulum shape of the target hip joint is not the preset shape, step 603 can be continued.

[0089] In addition, in an optional embodiment of the present application, in addition to determining the acetabulum morphology of the target hip joint, it is also possible to determine whether the cross-sectional view is a standard cross-sectional view to determine whether the cross-sectional view meets the preset standard. Specifically, it is possible to determine whether the cross-sectional view meets the preset standard by other tissue features. For example, the tissue features may include the ilium, labrum, bone margin turning, lower edge of the ilium, femoral head, etc. of the target hip joint. The identification method of the tissue feature may be similar to the identification method of the acetabulum morphology, which will not be repeated here. It can be determined whether the morphology of the tissue feature meets the following characteristics: the center of the target hip joint is the femoral head, which is manifested as an oval low-echo area with medium echoes scattered in the form of dots; the outer side of the femoral head 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 acetabulum rim above the femoral head, etc. If the tissue features in the cross-sectional image do not meet the above conditions, it can be determined that the cross-sectional image does not meet the preset standard, and step 1203 can be continued to determine the first confidence level for the judgment result that the cross-sectional image does not meet the preset standard, and the first confidence level can be displayed. If the tissue features in the cross-sectional image meet the above conditions, it can be determined that the cross-sectional image meets the preset standard, and step 1204 can be continued to obtain the tissue feature information of the target hip joint in the cross-sectional image.

[0090] Therefore, in the embodiment of the present application, it is possible to first determine whether the cross-sectional image meets the preset standard. Generally, if the target hip joint is dislocated, or the various tissue features in the cross-sectional image are not coplanar due to non-standard scanning, the cross-sectional image obtained will not meet the preset standard. It is not necessary to obtain measurement information for the cross-sectional image that does not meet the preset standard, which can avoid inaccurate measurement information and improve accuracy.

[0091] 1203. Determine a first confidence level and display the confidence level.

[0092] After determining that the cross-sectional image does not meet the preset standard, the confidence level of the judgment result, that is, the first confidence level, may be calculated and displayed.

[0093] The first confidence level can be understood as the confidence level of the judgment result that the cross-sectional view does not meet the preset standard. For example, if the cross-sectional view is not a standard cross-sectional view, the first confidence level can be the probability that the cross-sectional view is not a standard cross-sectional view, or, if multiple tissue features in the cross-sectional view are not coplanar, it can be determined that the target hip joint is in a dislocated state, or a suspected dislocated state, etc., and the first confidence level can be the probability that the target hip joint is in a dislocated state, or a suspected dislocated state, etc.

[0094] For example, if the cross-sectional view of the target hip joint is determined to be a non-standard cross-sectional view, then the specific method of determining the first confidence level may be to determine each tissue feature in the cross-sectional view, calculate the probability that each tissue feature is a standard tissue, and the relative morphology of each tissue feature, combined with the relative position, morphology and other features of each tissue feature, to determine the first confidence level for determining that the cross-sectional view is a non-standard cross-sectional view.

[0095] For example, if it is determined that multiple tissue features of the target hip joint are not coplanar, for example, the target hip joint is in a dislocated state, the probability that each tissue feature in the cross-sectional view of the target hip joint is a standard tissue can be determined, and the relative position, morphology, etc. of each tissue feature can be determined, and then the first confidence level that multiple tissue features of the target hip joint are not coplanar can be determined based on the probability that each tissue feature is a standard tissue and the relative position of each tissue feature.

[0096] Optionally, the confidence level may be calculated before determining whether the cross-sectional view meets the preset standard. When it is determined that the cross-sectional view of the target hip joint does not meet the preset standard, the first confidence level may be directly obtained.

[0097] It can be understood that if the cross-sectional image does not meet the preset standard, one scenario may be that the cross-sectional image is a non-standard cross-sectional image, and another scenario may be that the tissue features in the cross-sectional image are not coplanar, for example, the target hip joint is subluxated or dislocated.

[0098] Specifically, after obtaining the cross-sectional diagram, the probability that each tissue feature in the cross-sectional diagram meets the standard tissue feature can be determined by deep learning, and then the first confidence is calculated in combination with the relative position, morphology, etc. of each tissue feature. Exemplarily, the standards that each tissue feature meets 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 shown as an oval low-echo area with medium echoes scattered in points inside; the outside of the femoral head is surrounded by the synovial folds, joint capsules, labrums, and low-echo cartilaginous acetabulum with high echoes in sequence, and gradually extends to the strong echo bony acetabular rim above the femoral head. Therefore, the tissue features included in the cross-sectional diagram can be detected by deep learning. According to the tissue features included in the cross-sectional diagram, it can be judged whether the tissue features included in the cross-sectional diagram are standard, and the probability that each tissue feature meets the preset standard is obtained, and the relative position, morphology, etc. of each tissue feature are combined for calculation to calculate the first confidence.

[0099] In an optional embodiment of the present application, after obtaining the first confidence level, the cross-sectional view and the first confidence level may be displayed simultaneously. Specifically, the first confidence level may be displayed by superimposing the cross-sectional view, or may be displayed around the cross-sectional view. The specific adjustment may be made according to the actual application scenario and is not limited here. For example, Fig.13 As shown, the first confidence level Q can be superimposed on the cross-sectional view. In the embodiment of the present application, the cross-sectional view and the confidence level can be displayed simultaneously, so that the operator can observe the target hip joint more accurately and determine the state of the target hip joint more accurately according to the confidence level.

[0100] In an optional embodiment of the present application, after determining that the cross-sectional image does not meet the preset standard, prompt information can be generated for the cross-sectional image, for example, prompt information such as "dislocated", "subluxated", or "image is not standard". And, after the prompt information is generated, the cross-sectional image and the prompt information are displayed at the same time. Specifically, the prompt information can be displayed by superimposing it on the cross-sectional image, or it can be displayed around the cross-sectional image. It can be adjusted according to the actual application scenario and is not limited here. For example, Fig.14 As shown, the prompt message "Dislocated!!!" can be superimposed on the dislocated cross-sectional view.

[0101] In an optional embodiment of the present application, after determining that the cross-sectional view does not meet the preset standard, a corresponding curve graph, simulated three-dimensional image, etc. can also be generated based on the cross-sectional view. For example, if multiple tissue features in the cross-sectional view are no longer coplanar and the target hip joint is in a dislocated state, then a simulated three-dimensional image can be generated based on the cross-sectional view to display the dislocated state of the target hip joint in three dimensions. Alternatively, a curve graph of dislocation can be generated based on the cross-sectional view to display the dislocated state of the target hip joint, etc.

[0102] In an optional embodiment of the present application, a first pseudo-color image can be generated according to a first confidence level. Specifically, the first pseudo-color image can be generated according to a preset rule. For example, if the first confidence level is higher than a threshold, it can correspond to a more eye-catching color, such as green, red, etc. If the first confidence level is lower than a threshold, it can correspond to a light color, such as gray, etc. Alternatively, a pseudo-color image of different grayscales can be generated according to the value of the first confidence level. The higher the first confidence level, the higher the grayscale value, the lower the first confidence level, the smaller the grayscale value, and so on.

[0103] 1204. Obtain tissue feature information of the target hip joint in the cross-sectional image.

[0104] After determining that the cross-sectional image does not meet the preset standard, the tissue feature information of the target hip joint in the cross-sectional image can be obtained. The tissue feature information can include the morphology, position, size, etc. of each tissue feature of the target hip joint included in the standard image.

[0105] Furthermore, in an optional embodiment of the present application, when the acetabulum morphology of the target hip joint is obtained from the cross-sectional view, the target hip joint tissue feature information can be obtained, and the tissue feature information can include the morphology, position, size, and other information of each tissue feature in the target hip joint. In addition to obtaining the acetabulum morphology of the target hip joint from the tissue feature information, the tissue position information of the target hip joint can also be obtained, and the measurement information of the target hip joint can be determined by the tissue position information. The specific information can be adjusted according to the actual application scenario, which is not limited here.

[0106] 1205. Determine measurement information of the target hip joint based on tissue characteristic information of the target hip joint.

[0107] 1206. Display the cross-sectional view and measurement information.

[0108] Specifically, steps 1204, 1205, and 1206 in the embodiment of the present application are similar to the aforementioned Figure 3 Steps 302, 303, and 304 are similar and will not be repeated here.

[0109] In an optional embodiment of the present application, after determining the measurement information of the target hip joint, a second confidence level of the measurement information can also be obtained. The specific process of determining the second confidence level can be to combine the probability that each tissue feature in the cross-sectional diagram is a standard tissue, and the relative position, morphology and other geometric features of each tissue feature to calculate the second confidence level. The more specific calculation of the second confidence level is similar to the calculation method of the first confidence level in step 1203, and will not be described in detail here. In addition, after obtaining the second confidence level, the cross-sectional diagram, measurement information, and second confidence level can also be displayed on the display. For example, if Fig.15As shown in , the α angle, β angle and confidence level can be displayed simultaneously in the cross-sectional diagram. Fig.16 As shown, the FHC and the second confidence level can be simultaneously displayed in the cross-sectional view. Therefore, in the embodiment of the present application, after obtaining the measurement information, the second confidence level can be further obtained, so that the operator can simultaneously observe the measurement information and the second confidence level in combination to determine the accuracy of the measurement information.

[0110] In an optional embodiment of the present application, a second pseudo-color image can be generated according to the second confidence level. Specifically, the second pseudo-color image can be generated according to a preset rule. For example, if the second confidence level is higher than a threshold value, it can correspond to a more eye-catching color, such as green, red, etc. If the second confidence level is lower than a threshold value, it can correspond to a light color, such as gray, etc. Alternatively, a pseudo-color image of different grayscales can be generated according to the value of the second confidence level. The higher the second confidence level, the higher the grayscale value, the lower the second confidence level, the smaller the grayscale value, etc. Therefore, in an embodiment of the present application, the result of the second confidence level can be intuitively displayed in the form of a color image, which is more conducive to operator observation.

[0111] In the present application, a cross-sectional view of the target hip joint is first obtained, and it can be determined whether the cross-sectional view meets the preset standard. Usually, if the target hip joint is dislocated, or the various tissue features in the cross-sectional view are not coplanar due to irregular scanning, the cross-sectional view obtained will not meet the preset standard. It is not necessary to obtain measurement information for the cross-sectional view that does not meet the preset standard, which can avoid inaccurate measurement information and improve accuracy. If the cross-sectional view meets the preset standard, the tissue feature information of the target hip joint in the cross-sectional view can be obtained, and the measurement information of the hip joint can be determined based on the tissue feature information. Therefore, in the present application, the cross-sectional view can be identified to automatically detect the features of the hip joint in the cross-sectional view, and the measurement information of the hip joint can be determined through the tissue feature information. No manual measurement is required, which improves the efficiency of measurement and the accuracy of measurement of the hip joint.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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 imaging a hip joint, characterized in that: include: Obtain a cross-sectional image of the target hip joint; Determining whether the cross-sectional view meets a preset standard; If not, then obtaining a first confidence level for the judgment result that the cross-sectional view does not meet the preset standard; if the cross-sectional view is not a standard cross-sectional view, the first confidence level is the probability that the cross-sectional view is not a standard cross-sectional view; if the tissue features in the cross-sectional view are not coplanar, the first confidence level is the probability that the target hip joint is in a dislocated state or a suspected dislocated state; If so, obtaining tissue feature information of the target hip joint in the cross-sectional image; Determining measurement information of the target hip joint according to tissue feature information of the target hip joint, wherein the measurement information includes at least one of angle measurement information and distance measurement information between tissue features of the target hip joint; Displaying the cross-sectional view and the measurement information; The obtaining of a first confidence level of a judgment result that the slice image does not meet the preset standard includes: Determine each tissue feature in the cross-sectional view; Determine the probability that each tissue feature is a standard tissue and tissue feature information of each tissue feature, wherein the tissue feature information includes at least one of morphology, position and size; The first confidence level is determined according to the probability that each tissue feature is a standard tissue and the tissue feature information of each tissue feature.

2. The method according to claim 1, characterized in that include: The measurement information includes at least one of the bone vertex angle and cartilage vertex angle of the target hip joint, or the femoral head coverage rate FHC.

3. The method according to claim 2, characterized in that If the measurement information includes the bone vertex angle and the cartilage vertex angle of the target hip joint, then determining the measurement information of the target hip joint according to the tissue characteristic information of the target hip joint includes: Determining the baseline, bone top line and cartilage top line in the cross-sectional image according to the tissue characteristic information of the target hip joint; The bone apex angle is determined according to the baseline and the bone apex line, and the cartilage apex angle is determined according to the baseline and the cartilage apex line.

4. The method according to claim 2 or 3, characterized in that: If the measurement information includes the FHC, determining the measurement information of the target hip joint according to the tissue characteristic information of the target hip joint includes: Determining the baseline, the lateral tangent line of the femoral head, and the medial tangent line of the femoral head in the cross-sectional view according to the tissue characteristic information of the target hip joint; Determine the distance between the medial tangent line of the femoral head and the baseline, and the distance between the medial tangent line of the femoral head and the lateral tangent line of the femoral head; The FHC is obtained according to the ratio of the distance between the medial tangent of the femoral head and the baseline to the distance between the medial tangent of the femoral head and the lateral tangent of the femoral head.

5. The method according to claim 1, characterized in that The method further comprises: Obtaining a first pseudo-color marking image according to the first confidence level; The first pseudo-color marking image is displayed.

6. The method according to any one of claims 1 to 3, characterized in that If the cross-sectional view meets the preset standard, the method further includes: Acquiring a second confidence level of the measurement information according to tissue characteristic information of the target hip joint; The second confidence level is displayed.

7. The method according to claim 6, characterized in that The method further comprises: Obtaining a second pseudo-color marking image according to the second confidence level; The second pseudo-color labeled image is displayed.

8. The method according to any one of claims 1 to 3, characterized in that The step of obtaining a cross-sectional view of a target hip joint comprises: transmitting ultrasonic waves to the target hip joint to obtain ultrasonic echo signals; A cross-sectional image of the target hip joint is obtained according to the ultrasonic echo signal.

9. The method according to any one of claims 1 to 3, characterized in that: The method further comprises: The first confidence level is displayed.

10. The method according to any one of claims 1 to 3, characterized in that: If the cross-sectional view does not meet the preset standard, the method further includes: Generate prompt information according to the cross-sectional diagram; The prompt information is displayed.

11. An imaging hip joint imaging system, characterized in that: include: Processor and display, The processor is used to obtain a cross-sectional image of a target hip joint; The processor is further configured to determine whether the cross-sectional view meets a preset standard; The processor is further configured to obtain a first confidence level for a judgment result that the cross-sectional view does not meet a preset standard if the cross-sectional view does not meet a preset standard; if the cross-sectional view is not a standard cross-sectional view, the first confidence level is a probability that the cross-sectional view is not a standard cross-sectional view; if the tissue features in the cross-sectional view are not coplanar, the first confidence level is a probability that the target hip joint is in a dislocated state or a suspected dislocated state; The processor is further configured to obtain tissue feature information of the target hip joint in the cross-sectional image if the cross-sectional image meets a preset standard; The processor is further configured to determine measurement information of the target hip joint according to tissue feature information of the target hip joint, wherein the measurement information includes at least one of angle measurement information and distance measurement information between tissue features of the target hip joint; The display is used to display the cross-sectional view and the measurement information; When the processor obtains the first confidence level of the judgment result that the slice image does not meet the preset standard, the processor is specifically used to: Determine each tissue feature in the cross-sectional view; Determine the probability that each tissue feature is a standard tissue and tissue feature information of each tissue feature, wherein the tissue feature information includes at least one of morphology, position and size; The first confidence level is determined according to the probability that each tissue feature is a standard tissue and the tissue feature information of each tissue feature.

12. The hip joint imaging system according to claim 11, characterized in that: include: The measurement information includes at least one of the bone vertex angle and cartilage vertex angle of the target hip joint, or the femoral head coverage rate FHC.

13. The hip joint imaging system according to claim 12, characterized in that: If the measurement information includes the bone vertex angle and cartilage vertex angle of the target hip joint, the processor is further configured to: Determining the baseline, bone top line and cartilage top line in the cross-sectional image according to the tissue characteristic information of the target hip joint; The bone apex angle is determined according to the baseline and the bone apex line, and the cartilage apex angle is determined according to the baseline and the cartilage apex line.

14. The hip joint imaging system according to claim 12 or 13, characterized in that: If the measurement information includes the FHC, the processor is further configured to: Determining the baseline, the lateral tangent line of the femoral head, and the medial tangent line of the femoral head in the cross-sectional view according to the tissue characteristic information of the target hip joint; Determine the distance between the medial tangent line of the femoral head and the baseline, and the distance between the medial tangent line of the femoral head and the lateral tangent line of the femoral head; The FHC is obtained according to the ratio of the distance between the medial tangent of the femoral head and the baseline to the distance between the medial tangent of the femoral head and the lateral tangent of the femoral head.

15. The hip joint imaging system according to claim 11, characterized in that: The processor is further configured to obtain a first pseudo-color marking image according to the first confidence level; The display is also used to display the first pseudo-color marking image.

16. The hip joint imaging system according to any one of claims 11 to 13, characterized in that: If the slice diagram meets the preset criteria, The processor is further used to determine a second confidence level of the cross-sectional image according to tissue feature information of the target hip joint; The display is further configured to display the second confidence level.

17. The hip joint imaging system according to claim 16, characterized in that: The hip joint imaging system also includes: The processor is further configured to obtain a second pseudo-color marking image according to the second confidence level; The display is also used to display the second pseudo-color marking image.

18. The hip joint imaging system according to any one of claims 11 to 13, characterized in that: Also includes: Probe, transmit / receive sequence circuit; The transmitting / receiving sequence circuit is used to stimulate the probe to generate ultrasonic waves; The probe is used to transmit ultrasonic waves to the target hip joint and receive ultrasonic echoes returned from the target hip joint to obtain ultrasonic echo signals; The processor is specifically used to obtain the cross-sectional image according to the ultrasonic echo signal.

19. The hip joint imaging system according to any one of claims 11 to 13, characterized in that: The display is further used to display the first confidence level.

20. The hip joint imaging system according to any one of claims 11 to 13, characterized in that: The processor is further configured to generate prompt information according to the cross-sectional view if the cross-sectional view does not meet a preset standard; The display is also used to display the prompt information.

Images