Method for acquisition of an ultrasound image at birth, ultrasound imaging device and readable storage medium

Abstract

The application relates to the technical field of ultrasound images, and discloses an acquisition method of an ultrasound image during childbirth, an ultrasound imaging device and a readable storage medium. The method comprises the following steps: emitting an ultrasound signal to target tissue, collecting an ultrasound echo signal reflected by the target tissue, forming an ultrasound image corresponding to the target tissue based on the ultrasound echo signal, screening the ultrasound image to screen out a target ultrasound image meeting preset requirements, and displaying the target ultrasound image, wherein the target ultrasound image contains a tissue region of a pubic symphysis and a fetal head contour. In the manner, the accuracy of the ultrasound image can be improved, the dependence on the professionalism of medical staff is reduced, and the method is suitable for more operation scenes.

Description

Technical Field

[0001] This application relates to the field of ultrasound imaging technology, and in particular to methods for acquiring ultrasound images during labor, ultrasound imaging equipment, and readable storage media. Background Technology

[0002] During childbirth, the progress of labor needs to be monitored and the delivery method clinically assessed before the pregnant woman enters the delivery room and during labor. Traditional monitoring methods involve internal examination to check the degree of cervical dilation, the position of the presenting head, and the fetal position. This process relies on the midwife's experience and judgment, which is highly subjective. Furthermore, frequent digital examinations can increase the risk of infection and discomfort for the pregnant woman, and reduce her compliance.

[0003] Currently, medical staff need to adjust the probe to obtain a good ultrasound image, and then perform various diagnostic measurements based on the ultrasound image; however, in practice, this method relies on the doctor's imaging skills and knowledge and experience, thus requiring a high level of competence from the doctor. Summary of the Invention

[0004] The main technical problem addressed by this application is to provide a method for acquiring intrapartum ultrasound images, an ultrasound imaging device, and a readable storage medium, which can improve the accuracy of ultrasound images and reduce reliance on the expertise of medical personnel.

[0005] To address the aforementioned issues, this application provides a method for acquiring intrapartum ultrasound images. The method includes: transmitting an ultrasound signal to a target tissue and acquiring ultrasound echo signals reflected from the target tissue; forming an ultrasound image corresponding to the target tissue based on the ultrasound echo signals; filtering the ultrasound images to select target ultrasound images that meet preset requirements; and displaying the target ultrasound image, wherein the target ultrasound image includes tissue regions of the pubic symphysis and the fetal head contour.

[0006] The process of transmitting ultrasound signals to the target tissue and collecting ultrasound echo signals reflected by the target tissue includes: during fetal delivery, transmitting ultrasound signals to the perineal tissue and collecting ultrasound echo signals reflected by the perineal tissue.

[0007] The process of filtering ultrasound images to select target ultrasound images that meet preset requirements includes: performing edge detection on the ultrasound images; determining the edge area based on the edge detection results; and filtering the ultrasound images based on the edge area to select target ultrasound images that meet preset requirements.

[0008] The process of filtering ultrasound images based on edge area to select target ultrasound images that meet preset requirements includes: selecting at least one frame of target ultrasound image with an edge area greater than a set area; and filtering based on the pubic symphysis contour and fetal head contour in each frame of target ultrasound image to select target ultrasound images that meet preset requirements.

[0009] The method further includes: displaying multiple selectable display parameters on a human-computer interaction interface; the display parameters include at least one of the following: the number of frames corresponding to the ultrasound image, a set area, and the maximum diameter of the fetal head; receiving a selection instruction and determining at least one target display parameter from the multiple selectable display parameters.

[0010] The process of displaying the target ultrasound image includes: acquiring target display parameters; and displaying the target ultrasound image and the target display parameters.

[0011] The process of displaying the target ultrasound image and target display parameters includes: in response to a modification command for the target display parameters, displaying a parameter modification area on the human-computer interaction interface, wherein the parameter modification area displays multiple display parameters to be selected; and using the selected display parameter in the parameter modification area as the target display parameter.

[0012] The process of screening ultrasound images to select target ultrasound images that meet preset requirements includes: classifying the screened ultrasound images to obtain transverse and longitudinal images of the perineum; and displaying the target ultrasound images, including: displaying the transverse and longitudinal images.

[0013] To address the aforementioned problems, another technical solution adopted in this application is to provide an ultrasound imaging device, which includes: an ultrasound probe; a transmitting circuit connected to the ultrasound probe for transmitting ultrasound signals to a target tissue through the ultrasound probe; a receiving circuit connected to the ultrasound probe for acquiring ultrasound echo signals reflected by the ultrasound through the target tissue; a display; and a processor connected to the receiving circuit and the display for implementing the method provided by the above technical solution.

[0014] To address the aforementioned problems, another technical solution adopted in this application is to provide a computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the method provided by the above technical solution.

[0015] The beneficial effects of this application are as follows: Unlike existing technologies, the method for acquiring intrapartum ultrasound images provided in this application includes: transmitting an ultrasound signal to a target tissue and acquiring the ultrasound echo signal reflected by the target tissue; forming an ultrasound image corresponding to the target tissue based on the ultrasound echo signal; filtering the ultrasound images to select target ultrasound images that meet preset requirements; and displaying the target ultrasound image, wherein the target ultrasound image includes tissue regions containing the pubic symphysis and the outline of the fetal head. By filtering the ultrasound images in this way and selecting target ultrasound images that meet preset requirements, the accuracy of the ultrasound images can be improved, reducing reliance on the expertise of medical personnel and making it applicable to more operational scenarios. Attached Figure Description

[0016] Figure 1 This is a schematic flowchart of an embodiment of the method for acquiring intrapartum ultrasound images provided in this application;

[0017] Figure 2 This is a schematic diagram of the structure of an embodiment of the ultrasound imaging device provided in this application;

[0018] Figure 3 This is a schematic flowchart of another embodiment of the method for acquiring intrapartum ultrasound images provided in this application;

[0019] Figure 4 This is a schematic flowchart of another embodiment of the method for acquiring intrapartum ultrasound images provided in this application;

[0020] Figure 5 This is a flowchart illustrating an embodiment of steps 43 to 44 provided in this application;

[0021] Figure 6 This is a flowchart illustrating an embodiment of step 51 provided in this application;

[0022] Figure 7 This is a flowchart illustrating an embodiment of step 52 provided in this application;

[0023] Figure 8 This is a flowchart illustrating an embodiment of step 522 provided in this application;

[0024] Figure 9 This is a flowchart illustrating an embodiment of step 54 provided in this application;

[0025] Figure 10 This is a schematic flowchart of another embodiment of the method for acquiring intrapartum ultrasound images provided in this application;

[0026] Figure 11 This is a schematic diagram of an application scenario for the method of acquiring intrapartum ultrasound images provided in this application;

[0027] Figure 12 This is a schematic flowchart of another embodiment of the method for acquiring intrapartum ultrasound images provided in this application;

[0028] Figure 13 This is a schematic diagram of another application scenario of the method for acquiring intrapartum ultrasound images provided in this application;

[0029] Figure 14 This is a schematic flowchart of another embodiment of the method for acquiring intrapartum ultrasound images provided in this application;

[0030] Figure 15 This is a schematic flowchart of another embodiment of the method for acquiring intrapartum ultrasound images provided in this application;

[0031] Figures 16-22 This is a schematic diagram of an application scenario for the ultrasound image provided in this application;

[0032] Figure 23 This is a schematic diagram of the structure of an embodiment of the ultrasound imaging device provided in this application;

[0033] Figure 24 This is a schematic diagram of an embodiment of the computer-readable storage medium provided in this application. Detailed Implementation

[0034] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It is understood that the specific embodiments described herein are only for explaining this application and not for limiting it. Furthermore, it should be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all structures. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0035] The terms "first," "second," etc., used in this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0036] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0037] See Figure 1 , Figure 1 This is a schematic flowchart of an embodiment of the method for acquiring intrapartum ultrasound images provided in this application. The method includes:

[0038] Step 11: Emit an ultrasonic signal to the target tissue and collect the ultrasonic echo signal reflected by the target tissue.

[0039] Step 12: Generate an ultrasound image of the target tissue based on the ultrasound echo signal.

[0040] In some embodiments, an ultrasound imaging device may be used to acquire ultrasound images. See also Figure 2 The ultrasound imaging device 100 includes an ultrasound probe 101, a transmitting circuit 102, a receiving circuit 103, a transmit / receive selection switch 104, a processor 105, a display 106, and a memory 107. The transmitting circuit 102 and the receiving circuit 103 can be connected to the ultrasound probe 101 via the transmit / receive selection switch 104. In some embodiments, the transmitting circuit 102, the receiving circuit 103, and the transmit / receive selection switch 104 can be integrated with the ultrasound probe 101.

[0041] During ultrasound imaging, the transmitting circuit 102 sends a delayed-focused transmission pulse with a certain amplitude and polarity to the ultrasound probe 101 via the transmit / receive selection switch 104 to excite the ultrasound probe 101 to emit ultrasonic waves. After a certain delay, the receiving circuit 103 receives the echo of the ultrasonic wave via the transmit / receive selection switch 104, obtains the ultrasonic echo signal, and performs amplification, analog-to-digital conversion, and beamforming on the echo signal. Then, the processed ultrasonic echo signal is sent to the processor 105 for further processing. The processor 105 processes the ultrasonic echo signal to obtain the corresponding ultrasound image.

[0042] The display 106 is connected to the processor 105. For example, the processor 105 can be connected to the display 106 via an external input / output port. The display 106 can detect user input information, which may include, for example, control commands for ultrasonic wave transmission and reception timing, operation input commands for initiating still image capture, dynamic video capture, and / or dynamic image storage, or other command types. The display 106 may include one or more of the following: keyboard, mouse, scroll wheel, trackball, mobile input device (such as a mobile device with a touch screen, a mobile phone, etc.), multi-function knob, buttons, etc. Therefore, the corresponding external input / output port can be a wireless communication module, a wired communication module, or a combination of both. The external input / output port can also be implemented based on USB, bus protocols such as CAN, and / or wired network protocols.

[0043] The display 106 also includes a screen that can display ultrasound images acquired by the processor 105. Furthermore, while displaying ultrasound images, the screen can also provide a graphical user interface for human-computer interaction. One or more controlled objects can be set on the graphical interface, allowing the user to input operation commands through the display 106 to control these controlled objects and perform corresponding control operations. For example, icons can be displayed on the graphical interface, and the user can operate these icons using a human-computer interaction device to perform specific functions, such as the function of storing dynamic images while simultaneously capturing still images / movie clips. In practical applications, the screen can be a touchscreen display. Furthermore, the display in this embodiment may include one screen or multiple screens.

[0044] In other embodiments of this application, the processor 105 is also configured to receive an instruction to store the ultrasound image, and in response to the instruction to store a dynamic image, a static image, or a short video of the ultrasound image, thereby facilitating a user (e.g., a doctor) to browse and review it for diagnosis.

[0045] The ultrasound imaging device 100 can be of the amplitude modulation type, the spot scanning type, or the grayscale modulation type.

[0046] Step 13: Screen the ultrasound images to select target ultrasound images that meet the preset requirements.

[0047] In some embodiments, monitoring of labor progress and clinical assessment of delivery methods are primarily performed using two-dimensional ultrasound images. The procedure involves the pregnant woman lying in a semi-recumbent position with her legs at a 45-degree angle to her hips and her knees at a 90-degree angle. A curved ultrasound probe is placed below the pubic symphysis in a sagittal plane, and the probe is gently moved until the anatomical structures of the pubic symphysis and the fetal head are clearly visible on the ultrasound image. Due to variations in the operator's image processing techniques, ultrasound images may differ; therefore, image screening is necessary to select target images that meet predefined requirements.

[0048] For example, ultrasound images can be filtered based on their clarity, retaining those that meet a threshold and deleting those that do not.

[0049] For example, ultrasound images can be filtered based on their characteristic information, retaining those images whose characteristic information meets preset requirements. For instance, the characteristic information could be the tissue regions of the pubic symphysis and the fetal head contour.

[0050] Step 14: Display the target ultrasound image, which contains tissue regions of the pubic symphysis and the outline of the fetal head.

[0051] In some embodiments, when displaying a target ultrasound image, at least one of the following can be displayed: the frame number corresponding to the target ultrasound image, the set area corresponding to the tissue region, and the maximum diameter of the fetal head in the fetal head contour.

[0052] In some embodiments, after selecting the target ultrasound image, corresponding detection parameters can be determined based on the target ultrasound image. These parameters include, for example, the angle of fetal head progression (AOP), the distance between the pubic symphysis and the fetal head (HSD), the distance of fetal head progression (PD), and the distance between the fetal head and the perineum (HPD).

[0053] In this embodiment, by transmitting an ultrasonic signal to the target tissue and acquiring the ultrasonic echo signal reflected by the target tissue, an ultrasonic image corresponding to the target tissue is formed based on the ultrasonic echo signal. The ultrasonic images are then filtered to select target ultrasonic images that meet preset requirements. The target ultrasonic images are then displayed. The ultrasonic images include tissue regions of the pubic symphysis and the outline of the fetal head. Filtering the ultrasonic images and selecting target ultrasonic images that meet preset requirements can improve the accuracy of the ultrasonic images, reduce reliance on the professionalism of medical personnel, and make them suitable for more operational scenarios.

[0054] See Figure 3 , Figure 3 This is a schematic flowchart of another embodiment of the method for acquiring intrapartum ultrasound images provided in this application. The method includes:

[0055] Step 31: During the delivery process, an ultrasound signal is emitted into the perineal tissue, and the ultrasound echo signal reflected by the perineal tissue is collected.

[0056] Step 32: Generate an ultrasound image of the target tissue based on the ultrasound echo signal.

[0057] Steps 31 and 32 have the same or similar technical solutions as any of the above embodiments, and will not be described in detail here.

[0058] Step 33: Perform edge detection on the ultrasound image.

[0059] In some embodiments, edge detection can be performed on ultrasound images using Sobel edge detection, Laplacian edge detection, or Canny edge detection to obtain the contour information of corresponding objects in the ultrasound image. Examples include the contour of the fetal head and the pubic symphysis in an ultrasound image.

[0060] Step 34: Determine the edge area based on the edge detection results.

[0061] After obtaining the edge detection results, the edge area can be determined based on the determined edge contours. For example, the area occupied by the fetal head contour and the area occupied by the pubic symphysis contour in the acoustic image can be determined.

[0062] Step 35: Filter ultrasound images based on edge area to select target ultrasound images that meet preset requirements.

[0063] In some embodiments, if the edge area is greater than or equal to an area threshold, the ultrasound image is retained. If the edge area is less than a set area threshold, the ultrasound image is removed.

[0064] The ultrasound image can be filtered based on the area occupied by the fetal head contour and the area occupied by the pubic symphysis contour. For example, if the areas occupied by both the fetal head contour and the pubic symphysis contour are greater than or equal to the area threshold, the ultrasound image is retained. If the area of ​​either one is less than the set area threshold, the ultrasound image is removed.

[0065] Step 36: Display the target ultrasound image, which contains tissue regions of the pubic symphysis and the outline of the fetal head.

[0066] In this embodiment, the edge area of ​​the ultrasound image is determined by edge detection. Based on the edge area, the ultrasound images are filtered to select target ultrasound images that meet the preset requirements. This can improve the accuracy of ultrasound images, reduce the reliance on the professionalism of medical staff, and is applicable to more operating scenarios.

[0067] See Figure 4 , Figure 4This is a schematic flowchart of another embodiment of the method for acquiring intrapartum ultrasound images provided in this application. The method includes:

[0068] Step 41: During the delivery of the fetus, an ultrasound signal is emitted into the perineal tissue, and the ultrasound echo signal reflected by the perineal tissue is collected.

[0069] Step 42: Generate an ultrasound image of the target tissue based on the ultrasound echo signal.

[0070] Steps 41 and 42 have the same or similar technical solutions as any of the above embodiments, and will not be described in detail here.

[0071] Step 43: Perform edge detection on the ultrasound image.

[0072] Step 44: Determine the edge area based on the edge detection results.

[0073] Steps 41-44 have the same or similar technical solutions as any of the above embodiments, and will not be described in detail here.

[0074] In some embodiments, see Figure 5 Steps 43 and 44 above can be implemented using the following process:

[0075] Step 51: Perform linear detection on the ultrasound image.

[0076] In ultrasound images, the region containing an object is roughly fan-shaped, defined by two straight lines and an arc. Therefore, to determine the edges of an ultrasound image, it is necessary to identify the corresponding straight lines and arcs. Thus, straight line detection is required in ultrasound images.

[0077] For example, the ultrasound image is first subjected to edge detection, then binarized, then mapped to Hough space, local maxima are taken, thresholds are set, interfering lines are filtered out, and then lines are drawn and corner points are calibrated based on these maxima.

[0078] In some embodiments, see Figure 6 Step 51 can be the following process:

[0079] Step 511: Identify the intersection points between multiple curves corresponding to multiple points on the ultrasound image.

[0080] Step 512: In response to the number of curves intersecting at the same intersection point being greater than a set threshold, a straight line is confirmed based on the parameters of the intersection point.

[0081] A straight line can be represented by the number of curves that intersect at a single point in a plane. The more curves that intersect at a single point, the more points constitute the straight line. A threshold is set to define how many curves intersect at a single point, thus indicating the detection of a straight line. Therefore, the Hough line transform is used to track the intersections of curves corresponding to each point in an ultrasound image. When the number of curves intersecting at a single point exceeds the threshold, the parameters represented by that intersection point constitute a straight line.

[0082] Step 52: Perform arc detection on the ultrasound image.

[0083] In some embodiments, see Figure 7 Step 52 can be the following process:

[0084] Step 521: Select a target arc.

[0085] After edge detection, a series of coordinate points are obtained. These coordinate points can be fitted into an arc, but the arc is inaccurate at this time.

[0086] Step 522: Based on the distance from the point on the target arc to the center and the error between the distance and the radius of the target arc, confirm the center position and radius of the target arc.

[0087] In some embodiments, see Figure 8 Step 522 can be the following process:

[0088] Step 5221: Determine the difference between the square of the distance from a point on the target arc to the center and the square of the radius of the target arc.

[0089] Since the arc is determined, the center can be determined accordingly, and the square of the distance from a point on the arc to the center can be calculated. Once the center is determined, the radius of the target arc can be determined, and the square of the radius can be calculated.

[0090] Therefore, the difference between the square of the distance from a point on the target arc to the center and the square of the radius of the target arc can be determined.

[0091] For example, if M represents the square of the distance from a point on the target arc to the center of the arc, and N represents the square of the radius of the target arc, then the difference in squares P = MN.

[0092] Step 5222: Determine the sum of squared errors of the squared differences corresponding to multiple points on the target arc.

[0093] Therefore, the corresponding squared difference can be obtained for each point on the target arc, and these squared differences can be added together to calculate the sum of squared errors.

[0094] Step 5223: Minimize the sum of squared errors to determine the center position and radius of the target arc.

[0095] When the sum of squared errors is minimized, the center position and radius of the target arc can be determined. This target arc is the best-fit arc.

[0096] Step 523: Determine an arc based on the center position and the radius of the arc.

[0097] Once the center position and the radius of the arc are determined, an optimal arc can be determined.

[0098] There are two arcs in the ultrasound image, and the above method can be used to obtain the two optimal arcs.

[0099] Step 53: Determine the edge detection results of the ultrasound image based on the results of line detection and arc detection.

[0100] At this point, the detected straight lines and arcs can be used as edge detection results.

[0101] Step 54: Determine the edge area based on the edge detection results.

[0102] In some embodiments, see Figure 9 Step 54 can be the following process:

[0103] Step 541: Based on line detection and arc detection, determine the edge region formed by the first arc, the first line, the second arc, and the second line.

[0104] An ultrasound image contains two arcs, which can be used to obtain the first and second arcs using the method described above. Similarly, an ultrasound image contains two straight lines, which can be used to obtain the first and second straight lines using the method described above.

[0105] Step 542: Determine the area of ​​the first sector between the ultrasonic probe and the first arc; and determine the area of ​​the second sector between the ultrasonic probe and the second arc.

[0106] The ultrasound probe can be used as the center of the first and second circular arcs. Therefore, the area of ​​the first sector formed between the first circular arc and the ultrasound probe can be obtained based on the first circular arc. The area of ​​the second sector formed between the second circular arc and the ultrasound probe can be obtained based on the second circular arc.

[0107] Step 543: Determine the edge area of ​​the edge region based on the difference between the area of ​​the first sector and the area of ​​the second sector.

[0108] That is, the area formed by the first arc, the first straight line, the second arc, and the second straight line is the difference between the area of ​​the first sector and the area of ​​the second sector.

[0109] Before performing edge detection on the ultrasound images, it is necessary to perform noise reduction processing and / or binarization processing on the ultrasound images to filter out noise effects.

[0110] By using the above method to determine the optimal ultrasound image by utilizing the edge area in the ultrasound image, the accuracy of the ultrasound image can be improved, reducing the reliance on the professionalism of medical staff and making it applicable to more operational scenarios.

[0111] Step 45: Select at least one target ultrasound image with an edge area greater than the set area.

[0112] Specifically, if the edge area is greater than or equal to a set area threshold, the ultrasound image is retained; otherwise, if the edge area is less than the set area threshold, the ultrasound image is removed.

[0113] Step 46: Filter based on the pubic symphysis contour and fetal head contour in each frame of the target ultrasound image to select target ultrasound images that meet the preset requirements.

[0114] The selection can be based on the area occupied by the fetal head contour and the area occupied by the pubic symphysis contour. If the areas occupied by both the fetal head contour and the pubic symphysis contour are greater than or equal to the area threshold, the ultrasound image is considered to meet the preset requirements and is retained. If the area of ​​either one is less than the set area threshold, the ultrasound image is removed.

[0115] Step 47: Display the target ultrasound image, which contains tissue regions of the pubic symphysis and the outline of the fetal head.

[0116] In this embodiment, by screening ultrasound images in the above manner, target ultrasound images that meet the preset requirements can be selected, which can improve the accuracy of ultrasound images, reduce the reliance on the professionalism of medical staff, and be applicable to more operating scenarios.

[0117] See Figure 10 , Figure 10 This is a schematic flowchart of another embodiment of the method for acquiring intrapartum ultrasound images provided in this application. The method includes:

[0118] Step 101: Display multiple selectable display parameters on the human-computer interaction interface; the display parameters include at least one of the following: the number of frames corresponding to the ultrasound image, the set area, and the maximum diameter of the fetal head.

[0119] In some embodiments, display parameters that will be displayed along with the target ultrasound image can be preset in advance. For example, the display parameters to be selected can be displayed on the human-computer interaction interface. The display parameters include at least one of the following: the number of frames corresponding to the ultrasound, the set area, and the maximum diameter of the fetal head.

[0120] Step 102: Receive a selection instruction and determine at least one target display parameter from a plurality of display parameters to be selected.

[0121] After determining the target display parameters, and after determining the target ultrasound image according to any of the above embodiments, the corresponding target display parameters are determined according to the target ultrasound image, and then the target ultrasound image and target display parameters are displayed on the human-computer interaction interface.

[0122] Combination Figure 11 Explanation:

[0123] like Figure 11 As shown, a parameter setting area is displayed on the human-computer interaction interface. This area includes settings for frame count, set area, maximum tire head diameter, and other parameters that the user can select. Corresponding confirmation and cancellation controls are also provided.

[0124] After the user selects any parameter and confirms the selection, the selected parameter will be displayed synchronously when the target ultrasound image is displayed.

[0125] like Figure 11 If the frame count is selected, the corresponding frame count of the target ultrasound image will be synchronized when displaying the target ultrasound image later.

[0126] In this embodiment, the parameter setting function is provided in the above manner so that when filtering target ultrasound images that meet the preset requirements, the parameters corresponding to the target ultrasound image are displayed. This increases the diversity of the displayed data, enabling medical staff to more accurately understand the information corresponding to the ultrasound image. Furthermore, the automatic ultrasound image filtering can improve the accuracy of the ultrasound image, thereby reducing the reliance on the professionalism of medical staff and making it suitable for more operating scenarios.

[0127] Furthermore, the parameters set above can be modified. For example, after displaying the target ultrasound image and target display parameters, if the user wants to know other parameters, they can modify them.

[0128] Specifically, see Figure 12 The parameters can be modified through the following process:

[0129] Step 121: In response to the instruction to modify the target display parameters, a parameter modification area is displayed on the human-computer interaction interface, and the parameter modification area displays multiple display parameters to be selected.

[0130] Step 122: Use the selected display parameter in the parameter modification area as the target display parameter.

[0131] Combination Figure 13 Explanation:

[0132] like Figure 13As shown, in response to a command to modify the target display parameters, a parameter modification area is displayed on the human-computer interaction interface. This area includes settings for frame count, set area, maximum tire head diameter, and other parameters that the user can select. Corresponding confirmation and cancellation controls are also provided.

[0133] After the user selects any parameter and confirms the selection, the selected parameter will be displayed synchronously when the target ultrasound image is displayed, thus enabling the parameter display to be switched.

[0134] like Figure 13 If you select "Set Area", the set area corresponding to the target ultrasound image will be displayed synchronously when the target ultrasound image is displayed.

[0135] In some embodiments, see Figure 14 After screening ultrasound images to select target ultrasound images that meet preset requirements, the process can be as follows:

[0136] Step 141: Classify the screened ultrasound images to obtain transverse and longitudinal images of the perineum.

[0137] In some embodiments, a trained classification model can be used to classify the screened ultrasound images to obtain transverse and longitudinal images of the perineum.

[0138] Step 142: Display the cross-sectional image and the longitudinal section image.

[0139] Once the type of each ultrasound image is determined, the corresponding ultrasound image type can be labeled during display. For example, corresponding ultrasound images can be displayed on the same screen according to cross-sections and longitudinal sections.

[0140] In one application scenario, combined Figures 15-22 Explanation:

[0141] Figure 15 This is a flowchart illustrating another embodiment of the method for acquiring intrapartum ultrasound images provided in this application. The method includes:

[0142] Step 151: Obtain intrapartum ultrasound images.

[0143] Three-dimensional volumetric probes or two-dimensional convex array probes are used to acquire transperineal three-dimensional ultrasound image data or two-dimensional ultrasound image videos during childbirth, such as... Figure 16 As shown.

[0144] The difference between intrapartum ultrasound images and prenatal ultrasound images is that prenatal ultrasound images obtained using a 3D volume probe generally show the outline of the fetal head, while intrapartum ultrasound images obtained using a 3D volume probe show the tissue information of the mother's pubic symphysis and the outline of the fetal head. Furthermore, the morphological features of the fetal outline are different between prenatal and intrapartum ultrasound images.

[0145] Step 152: Preprocess the generated ultrasound images.

[0146] The obtained transperineal ultrasound image dataset is processed using a preset algorithm.

[0147] Specifically, since the acquired intrapartum 3D ultrasound image data not only contains feature information such as the pubic symphysis and fetal head contour, but also other noise information, it is necessary to first perform median filtering for denoising, and then normalize the denoised data.

[0148] Median filtering is used to reduce noise interference from other noise information.

[0149] Normalization ensures that the grayscale values ​​of ultrasound images are distributed between 0 and 255, thus avoiding insufficient contrast or uneven brightness distribution in ultrasound images, which could interfere with subsequent processing.

[0150] Step 153: Perform edge detection on the ultrasound image.

[0151] This step consists of two parts: edge line detection and edge arc detection.

[0152] (1) Edge line detection. Edge line detection can be performed in the following ways:

[0153] Typically, a straight line can be represented by the number of curves intersecting at a single point in a plane. The more curves intersecting at a single point, the more points constitute the straight line. A threshold is set to define how many curves intersect at a single point, thus indicating the detection of a straight line. Therefore, we can use the Hough line transform to track the intersections between curves corresponding to each point in the image. When the number of curves intersecting at a single point exceeds a threshold, the parameters represented by that intersection point can be considered to form a straight line. The final detection result is as follows: Figure 17 As shown, Figure 17 The white line in the diagram is a defined straight line.

[0154] (2) Edge arc detection. Edge arc detection can be performed in the following ways:

[0155] 1) A series of arc coordinate points are obtained based on the arc detection.

[0156] 2) Based on the equation of the circular curve, calculate the difference between the square of the distance from the point to the center and the square of the radius to obtain δ. i .

[0157] 3) Find the difference δ between the square of the distance from the point to the center of the circle and the square of the radius. i The sum of squares.

[0158] 4) By calculating δ i The minimum value of the sum of squares can be used to find the undetermined coefficients, thereby finding the optimal solution for the center coordinates and radius of the arc, which minimizes the sum of squares of the function's error.

[0159] Based on Hough line detection, the starting and ending points of an arc can be determined. Furthermore, the arc fitted using the least squares method must pass through these two points. The final detection result is as follows: Figure 18 As shown, Figure 18 The white line in the diagram represents a defined arc.

[0160] Step 154: Calculate the area of ​​the edge region in the ultrasound image.

[0161] like Figure 19 The image shown represents the edge detection result, where the size of the white border represents the area of ​​the edge region. To facilitate understanding of the calculation process, a simplified diagram of the calculation for this region is provided below. Figure 20 As shown. The entire calculation process is as follows:

[0162] (1) Using Hough line detection, the coordinates of four points B(x1,y1), C(x2,y2), D(x3,y3), and E(x4,y4) can be obtained, and then the lengths of DE, BD, and DO can be calculated, which are represented by d, b, and c respectively.

[0163] (2) Given that the field of view (FOV) of the probe's acoustic head is θ, we can deduce that ∠BAC = θ, and then calculate...

[0164] (3) Using the following formulas, calculate the areas of sectors ADE and ABC, denoted by S1 and S2 respectively; where,

[0165] (4) Calculate the area ΔS of the edge region. Where ΔS = S1 - S2.

[0166] Step 155: Filter out ultrasound images containing valid edge regions.

[0167] The calculated area ΔS is compared with a set threshold. If the area ΔS is greater than the set threshold, the ultrasound image is retained; otherwise, the ultrasound image is discarded.

[0168] Step 156: Perform pubic symphysis contour feature detection on the screened ultrasound images.

[0169] Ultrasound images containing the effective region are selected, and image segmentation is performed to obtain the features of the pubic symphysis. Then, the pubic symphysis is detected by fitting these features together. For example... Figure 21 As shown, in Figure 21 The pubic symphysis contour (i.e.) was detected in the middle. Figure 21 (The area enclosed by the white lines).

[0170] Step 157: Select the best images of the pubic symphysis and fetal head contour.

[0171] Based on the effective area of ​​the aforementioned edge region and the detected pubic symphysis features, the optimal cross-sectional image of the pubic symphysis and fetal head contour is selected and displayed. For example... Figure 22 As shown, the image displays the optimal image containing features such as the pubic symphysis and fetal head contour, along with area setting thresholds, maximum head and tail diameters, and the number of frames corresponding to the current image's body data, such as an area setting threshold of 200 cm. 2 The maximum diameter of the head and tail is 17cm, and the number of frames of the volume data corresponding to the current image is 30.

[0172] See Figure 23 , Figure 23 This is a schematic diagram of another embodiment of the ultrasound imaging device provided in this application. The ultrasound imaging device 100 includes: an ultrasound probe 101, a transmitting circuit 102, a receiving circuit 103, a display 106, and a processor 105.

[0173] The transmitting circuit 102 is connected to the ultrasonic probe 101 and is used to transmit ultrasonic signals to the target tissue through the ultrasonic probe 101.

[0174] The receiving circuit 103 is connected to the ultrasonic probe 101 and is used to acquire the ultrasonic echo signal reflected by the target tissue.

[0175] Processor 105 is connected to receiver circuit 103 and display 105 to implement the following methods:

[0176] An ultrasonic signal is emitted to the target tissue, and the ultrasonic echo signal reflected by the target tissue is acquired; an ultrasonic image corresponding to the target tissue is formed based on the ultrasonic echo signal; the ultrasonic images are screened to select target ultrasonic images that meet preset requirements; the target ultrasonic image is displayed, wherein the target ultrasonic image contains tissue regions of the pubic symphysis and the outline of the fetal head.

[0177] It is understood that the processor 105 is also used to implement the methods of any of the above embodiments, and specific details can be found in any of the above embodiments, which will not be repeated here.

[0178] See Figure 24 , Figure 24This is a schematic diagram of an embodiment of the computer-readable storage medium provided in this application. The computer-readable storage medium 240 is used to store a computer program 241, which, when executed by a processor, implements the following methods:

[0179] An ultrasonic signal is emitted to the target tissue, and the ultrasonic echo signal reflected by the target tissue is acquired; an ultrasonic image corresponding to the target tissue is formed based on the ultrasonic echo signal; the ultrasonic images are screened to select target ultrasonic images that meet preset requirements; the target ultrasonic image is displayed, wherein the target ultrasonic image contains tissue regions of the pubic symphysis and the outline of the fetal head.

[0180] It is understood that when the computer program 241 is executed by the processor, it is also used to implement the method of any of the above embodiments. For details, please refer to any of the above embodiments, which will not be repeated here.

[0181] In the several embodiments provided in this application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.

[0182] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0183] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0184] If the integrated units in the other embodiments described above are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0185] The above description is merely an embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for acquiring intrapartum ultrasound images, characterized in that, The method includes: An ultrasonic signal is emitted toward the target tissue, and the ultrasonic echo signal reflected by the target tissue is collected. An ultrasound image corresponding to the target tissue is generated based on the ultrasound echo signal; The ultrasound images are filtered to select target ultrasound images that meet preset requirements; Display the target ultrasound image, wherein the target ultrasound image includes tissue regions of the pubic symphysis and the outline of the fetal head; The step of filtering the ultrasound images to select target ultrasound images that meet preset requirements includes: Edge detection in ultrasound images; The edge area is determined based on the results of the edge detection. The ultrasound images are filtered based on the edge area to select target ultrasound images that meet preset requirements. Determining the edge area based on the edge detection results includes: Based on the results of the edge detection, the area occupied by the fetal head contour and the area occupied by the pubic symphysis contour in the ultrasound image are determined. The step of filtering the ultrasound images based on the edge area to select target ultrasound images that meet preset requirements includes: Filter out at least one frame of target ultrasound image whose edge area is greater than a set area; The target ultrasound images are filtered based on the area occupied by the pubic symphysis contour and the area occupied by the fetal head contour in each frame of the target ultrasound image to select target ultrasound images that meet the preset requirements.

2. The method according to claim 1, characterized in that, The step of emitting ultrasonic signals to the target tissue and acquiring the ultrasonic echo signals reflected by the target tissue includes: During fetal delivery, ultrasound signals are emitted into the perineal tissue, and the ultrasound echo signals reflected by the perineal tissue are collected.

3. The method according to claim 1, characterized in that, The method further includes: The human-computer interaction interface displays multiple display parameters to be selected; the display parameters include at least one of the following: the number of frames corresponding to the ultrasound image, the set area, and the maximum diameter of the fetal head. Receive a selection instruction and determine at least one target display parameter from a plurality of display parameters to be selected.

4. The method according to claim 3, characterized in that, The display of the target ultrasound image includes: Obtain the target display parameters; Display the target ultrasound image and the target display parameters.

5. The method according to claim 4, characterized in that, After displaying the target ultrasound image and the target display parameters, the process includes: In response to a modification instruction for the target display parameter, a parameter modification area is displayed on the human-computer interaction interface, and the parameter modification area displays multiple display parameters to be selected; The selected display parameter in the parameter modification area is used as the target display parameter.

6. The method according to claim 1, characterized in that, After filtering the ultrasound images to select target ultrasound images that meet preset requirements, the process includes: The filtered ultrasound images are classified to obtain transverse and longitudinal images of the perineum; The display of the target ultrasound image includes: Display the cross-sectional image and the longitudinal cross-sectional image.

7. An ultrasonic imaging device, characterized in that, The ultrasound imaging device includes: Ultrasonic probe; A transmitting circuit, connected to the ultrasound probe, is used to transmit ultrasound signals to the target tissue through the ultrasound probe; A receiving circuit, connected to the ultrasound probe, is used to acquire ultrasound echo signals reflected by the target tissue. monitor; A processor, connected to the receiving circuit and the display, is configured to implement the method as described in any one of claims 1-6.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store a computer program, which, when executed by a processor, is used to implement the method as described in any one of claims 1-6.

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