Prone position mammary gland ultrasonic imaging method, device and equipment and storage medium

Abstract

The invention relates to the technical field of medical imaging, and discloses a prone position breast ultrasonic imaging method, device and equipment and a storage medium, and the method comprises the steps: obtaining a target two-dimensional ultrasonic image collected by an ultrasonic probe of prone position ultrasonic equipment; the target two-dimensional ultrasonic image is a multi-frame two-dimensional ultrasonic image acquired by the ultrasonic probe around a target breast tissue for at least one circle; based on the target two-dimensional ultrasonic image, determining a dark area proportion, and adjusting ultrasonic frequency based on the dark area proportion; and based on the adjusted ultrasonic frequency, re-collecting the two-dimensional ultrasonic image of the target breast tissue. According to the invention, the quality of the prone position ultrasonic image can be improved. In addition, the breast volume is verified in a drainage mode, and the accuracy of breast volume calculation is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical imaging, and in particular to a prone breast ultrasound imaging method, device, equipment and storage medium. Background Art

[0002] Currently, breast ultrasound imaging technology is widely used in the screening and diagnosis of breast diseases. However, traditional ultrasound imaging methods have certain limitations, such as the possibility of poor image quality, which can affect the doctor's diagnosis. Summary of the Invention

[0003] In view of this, the present invention provides a prone breast ultrasound imaging method, apparatus, device and storage medium to solve the problem of poor ultrasound imaging quality.

[0004] In a first aspect, the present invention provides a method for prone breast ultrasound imaging, the method comprising:

[0005] Acquire a target two-dimensional ultrasound image acquired by an ultrasound probe of a prone position ultrasound device; the target two-dimensional ultrasound image is a multi-frame two-dimensional ultrasound image acquired by the ultrasound probe around the target breast tissue for at least one circle;

[0006] determining a dark area ratio based on the target two-dimensional ultrasound image, and adjusting the ultrasound frequency based on the dark area ratio;

[0007] Based on the adjusted ultrasound frequency, a two-dimensional ultrasound image of the target breast tissue is reacquired.

[0008] In an optional embodiment, determining the dark area ratio based on the target two-dimensional ultrasound image, and adjusting the ultrasound frequency based on the dark area ratio includes:

[0009] Processing the target two-dimensional ultrasonic image to obtain a first ultrasonic image; the first ultrasonic image is a two-dimensional ultrasonic image or a three-dimensional ultrasonic image, and the first ultrasonic image does not include redundant images and does not have missing images;

[0010] Based on the first ultrasound image, a dark area ratio is determined, and the ultrasound frequency is adjusted based on the dark area ratio.

[0011] In an optional embodiment, determining the dark area ratio based on the first ultrasound image, and adjusting the ultrasound frequency based on the dark area ratio includes:

[0012] Inputting the first ultrasound image into a machine learning model; the machine learning model includes a dark area ratio analysis network and an ultrasound frequency adjustment network;

[0013] Obtaining the dark area ratio output by the dark area ratio analysis network;

[0014] Inputting the dark area ratio into the ultrasonic frequency adjustment network;

[0015] Obtaining a target ultrasonic frequency output by the ultrasonic frequency adjustment network;

[0016] The ultrasonic frequency is adjusted to the target ultrasonic frequency.

[0017] In an optional embodiment, processing the target two-dimensional ultrasound image to obtain a first ultrasound image includes:

[0018] Acquiring target information, where the target information includes probe parameters and / or depth data when acquiring the target two-dimensional ultrasound image, where the probe parameters include an acoustic beam direction and / or a stepping trajectory;

[0019] performing spatial registration on the target two-dimensional ultrasound image according to the target information to generate a three-dimensional ultrasound image;

[0020] The generated three-dimensional ultrasonic image is used as the first ultrasonic image, or a two-dimensional ultrasonic image is obtained based on the three-dimensional ultrasonic image as the first ultrasonic image.

[0021] In an optional embodiment, determining the dark area ratio based on the target two-dimensional ultrasound image, and adjusting the ultrasound frequency based on the dark area ratio includes:

[0022] determining a dark area ratio based on the target two-dimensional ultrasound image;

[0023] Obtaining a correspondence table between preset dark area ratios and ultrasonic frequency adjustment values;

[0024] Obtaining a corresponding target ultrasonic frequency adjustment value by querying the corresponding relationship table;

[0025] The ultrasonic frequency is adjusted according to the target ultrasonic frequency adjustment value.

[0026] In an optional embodiment, after reacquiring the two-dimensional ultrasound image of the target breast tissue based on the adjusted ultrasound frequency, the method further includes:

[0027] acquiring a re-acquired second two-dimensional ultrasound image;

[0028] identifying skin boundaries in the second two-dimensional ultrasound image respectively;

[0029] Performing three-dimensional reconstruction based on the skin boundary to generate a three-dimensional model of the target breast tissue;

[0030] calculating a first volume of the target breast tissue based on the generated three-dimensional model;

[0031] The first volume is output.

[0032] In an optional embodiment, the prone breast ultrasound imaging method further includes:

[0033] obtaining a second volume of the target breast tissue;

[0034] outputting the second volume;

[0035] The second volume is obtained by the following method:

[0036] placing the target breast tissue of the patient into a target container;

[0037] Filling the target container with water so that the target breast tissue is completely immersed in the water, and recording the amount of water filled;

[0038] The volume of the target breast tissue is calculated based on the capacity of the target container and the water injection volume.

[0039] In a second aspect, the present invention provides a prone breast ultrasound imaging device, comprising:

[0040] An ultrasound image acquisition module is configured to acquire a target two-dimensional ultrasound image acquired by an ultrasound probe of a prone position ultrasound device; the target two-dimensional ultrasound image is a multi-frame two-dimensional ultrasound image acquired by the ultrasound probe around the target breast tissue for at least one circle;

[0041] a frequency adjustment module, configured to determine a dark area ratio based on the target two-dimensional ultrasound image, and adjust the ultrasound frequency based on the dark area ratio;

[0042] A re-acquisition module is configured to re-acquire the two-dimensional ultrasound image of the target breast tissue based on the adjusted ultrasound frequency.

[0043] In a third aspect, the present invention provides a computer device comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to thereby execute the prone breast ultrasound imaging method of the first aspect or any corresponding embodiment thereof.

[0044] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the prone breast ultrasound imaging method of the first aspect or any corresponding embodiment thereof.

[0045] In a fifth aspect, the present invention provides a computer program product comprising computer instructions for causing a computer to execute the prone breast ultrasound imaging method of the first aspect or any corresponding embodiment thereof.

[0046] The prone breast ultrasound imaging method, apparatus, device, and storage medium provided by the embodiments of the present invention first pre-scan the patient's target breast tissue to obtain a target two-dimensional ultrasound image, then determine the dark area ratio based on the target two-dimensional ultrasound image, and adjust the ultrasound frequency based on the dark area ratio. Finally, the scanning process is restarted using the adjusted ultrasound frequency, and a new scan is performed on the patient's target breast tissue to obtain a high-quality ultrasound scan image, thereby improving the quality of the ultrasound scan image and thereby improving the doctor's diagnostic accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in related technologies, the following briefly introduces the drawings required for use in the specific embodiments or related technical descriptions. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0048] Figure 1 is a schematic flow chart of a method for prone breast ultrasound imaging according to an embodiment of the present invention;

[0049] Figure 2 is a schematic flow chart of an ultrasonic frequency adjustment method according to an embodiment of the present invention;

[0050] Figure 3 is a schematic diagram of a second two-dimensional ultrasound image according to an embodiment of the present invention;

[0051] Figure 4 According to an embodiment of the present invention, Figure 3 A schematic diagram of the skin boundary obtained after boundary recognition is performed on the second two-dimensional ultrasound image shown;

[0052] Figure 5 is a schematic diagram of a three-dimensional model of target breast tissue according to an embodiment of the present invention;

[0053] Figure 6 is a schematic diagram of a breast tissue container according to an embodiment of the present invention;

[0054] Figure 7 is a structural block diagram of a prone breast ultrasound imaging device according to an embodiment of the present invention;

[0055] Figure 8 Schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0056] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of the present invention.

[0057] According to an embodiment of the present invention, an embodiment of a prone breast ultrasound imaging method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of executable computer instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0058] In this embodiment, a prone breast ultrasound imaging method is provided, which can be used in various computer devices. The computer device can be a prone breast ultrasound imaging device or other computer devices. Figure 1 FIG. 1 is a flow chart of a method for prone breast ultrasound imaging according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0059] Step S101: Acquire a target two-dimensional ultrasound image captured by an ultrasound probe of a prone position ultrasound device. The target two-dimensional ultrasound image is a multi-frame two-dimensional ultrasound image captured by the ultrasound probe at least one time around the target breast tissue. That is, the target two-dimensional ultrasound image includes a full radial ultrasound image of the target breast tissue.

[0060] Step S102 : determining a dark area ratio based on the target two-dimensional ultrasound image, and adjusting the ultrasound frequency based on the dark area ratio.

[0061] In some optional specific implementations, step S102, i.e., determining the dark area ratio based on the target two-dimensional ultrasound image and adjusting the ultrasound frequency based on the dark area ratio, includes:

[0062] Step S1021 : Process the target two-dimensional ultrasound image to obtain a first ultrasound image; the first ultrasound image is a two-dimensional ultrasound image or a three-dimensional ultrasound image, and the first ultrasound image does not include redundant images and does not have missing images.

[0063] In some optional specific implementations, step S1021, i.e., processing the target two-dimensional ultrasound image to obtain a first ultrasound image, includes:

[0064] Step S10211: acquiring target information, where the target information includes probe parameters and / or depth data when acquiring the target two-dimensional ultrasound image, and the probe parameters include the sound beam direction and / or stepping trajectory.

[0065] Specifically, the physical depth information corresponding to the longitudinal axis of the ultrasound image, namely the depth data, can be combined with the probe posture to form a three-dimensional coordinate reference, facilitating the reconstruction of the 3D voxel image. The probe's stepping trajectory is the movement trajectory of the ultrasound probe during image acquisition.

[0066] Step S10212: performing spatial registration on the target two-dimensional ultrasound image according to the target information to generate a three-dimensional ultrasound image.

[0067] That is, in an embodiment of the present invention, based on the target two-dimensional ultrasound image acquired by the ultrasound probe, as well as the spatial trajectory of the probe position, the direction of the sound beam, the depth data of the ultrasound image, etc., a registration algorithm is used to perform voxel interpolation and spatial fusion to generate a continuous and consistent three-dimensional ultrasound image.

[0068] In an embodiment of the present invention, during the three-dimensional ultrasound image generation process, redundant images are processed by direct deletion, while for image loss situations such as frame loss and structure loss, interpolation processing is performed based on surrounding image frames to ensure the integrity of the three-dimensional reconstructed image.

[0069] In addition, each layer of the generated three-dimensional ultrasound image can be traced back to the original two-dimensional image, which is convenient for review, analysis and correction.

[0070] Step S10213: Use the generated three-dimensional ultrasound image as the first ultrasound image, or obtain a two-dimensional ultrasound image based on the three-dimensional ultrasound image as the first ultrasound image.

[0071] In some other optional specific implementations, three-dimensional image reconstruction may not be performed, and redundancy removal and missing image interpolation processing may be directly performed on the target two-dimensional ultrasound image, and the obtained two-dimensional ultrasound image is used as the first ultrasound image.

[0072] Step S1022: Determine the dark area ratio based on the first ultrasound image, and adjust the ultrasound frequency based on the dark area ratio.

[0073] Specifically, dark areas include areas in the ultrasound image where the echo signal intensity is low and the tissue structure is difficult to identify. The dark area ratio refers to the proportion of these areas in the total image.

[0074] In some optional specific implementations, step S1022, i.e., determining the dark area ratio based on the first ultrasound image and adjusting the ultrasound frequency based on the dark area ratio, includes:

[0075] Step S10221: input the first ultrasound image into a machine learning model; the machine learning model includes a dark area ratio analysis network and an ultrasonic frequency adjustment network.

[0076] Specifically, the machine learning model can be a regression-type deep learning model.

[0077] Step S10222: Obtain the dark area ratio output by the dark area ratio analysis network.

[0078] Step S10223: input the dark area ratio into the ultrasonic frequency adjustment network.

[0079] Step S10224: Acquire the target ultrasonic frequency output by the ultrasonic frequency adjustment network.

[0080] Specifically, when the dark area ratio is greater than a preset threshold, the ultrasound frequency adjustment network obtains first information about the target breast tissue based on the first ultrasound image and determines the target ultrasound frequency based on the first information. The first information includes tissue density, echogenicity, and / or structural characteristics. In this embodiment of the present invention, the ultrasound frequency adjustment network obtains the tissue density, echogenicity, and / or structural characteristics of the target breast tissue through image analysis and infers the optimal ultrasound frequency.

[0081] In this embodiment of the present invention, if the dark area ratio exceeds a preset threshold, it indicates that the dark area ratio is too high and the ultrasound frequency needs to be reduced (for example, from a high frequency of 10 MHz to a low frequency of 6 MHz) to increase ultrasound penetration and thereby improve image clarity. The preset threshold can be determined based on the required image quality and may be, for example, 20%.

[0082] Step S10225: adjusting the ultrasonic frequency to the target ultrasonic frequency.

[0083] For example, if Figure 2 As shown, in an embodiment of the present invention, a target two-dimensional ultrasound image 201 is first acquired, and then a two-dimensional first ultrasound image 202 and a volume are obtained based on the target two-dimensional ultrasound image 201. Finally, the first ultrasound image 202, the original ultrasound frequency (the ultrasound frequency used when acquiring the target two-dimensional ultrasound image 201) and the volume are input into a machine learning model to obtain the target ultrasound frequency.

[0084] In other embodiments, the target two-dimensional ultrasound image may not be processed, and the dark area ratio may be determined directly based on the target two-dimensional ultrasound image, and then the ultrasound frequency may be adjusted based on the determined dark area ratio.

[0085] In some other optional embodiments, the ultrasonic frequency may be adjusted by table lookup instead of using a machine learning model. Specifically, step S102, i.e., determining the dark area ratio based on the target two-dimensional ultrasonic image and adjusting the ultrasonic frequency based on the dark area ratio, includes:

[0086] Step 1: determining a dark area ratio based on the target two-dimensional ultrasound image;

[0087] Step 2: Obtain a correspondence table between preset dark area ratios and ultrasonic frequency adjustment values;

[0088] Step 3: Obtain the corresponding target ultrasonic frequency adjustment value by querying the corresponding relationship table; the target ultrasonic frequency adjustment value here can specifically be a frequency value or a proportional value.

[0089] Step 4: Adjust the ultrasonic frequency according to the target ultrasonic frequency adjustment value.

[0090] When adjusting the ultrasonic frequency by looking up a table, the target two-dimensional ultrasonic image may be processed first to obtain a first ultrasonic image, and then the dark area ratio is determined based on the first ultrasonic image.

[0091] Step S103: reacquire the two-dimensional ultrasound image of the target breast tissue based on the adjusted ultrasound frequency.

[0092] The prone breast ultrasound imaging method provided in this embodiment first performs a pre-scan on the patient's target breast tissue to obtain a target two-dimensional ultrasound image, then determines the dark area ratio based on the target two-dimensional ultrasound image, and adjusts the ultrasound frequency based on the dark area ratio. Finally, the scanning process is restarted using the adjusted ultrasound frequency, and a new scan is performed on the patient's target breast tissue to obtain a high-quality ultrasound scan image. This improves the quality of the ultrasound scan image, thereby improving the doctor's diagnostic accuracy.

[0093] In related technologies, breast volume acquisition usually relies on manual measurement or approximate measurement methods, which have large errors and affect doctors' diagnosis.

[0094] In some optional specific implementations, after step S103, reacquiring the two-dimensional ultrasound image of the target breast tissue based on the adjusted ultrasound frequency, the method further includes:

[0095] Step S104: Acquire the re-acquired second two-dimensional ultrasound image.

[0096] Step S105 : identifying skin boundaries in the second two-dimensional ultrasound image to obtain a surface contour of the target breast tissue.

[0097] For example, a second two-dimensional ultrasound image frame is Figure 3 As shown, skin boundary recognition is performed on the second two-dimensional ultrasound image, and the recognized skin boundary is as shown in FIG. Figure 4 shown.

[0098] Step S106: Perform three-dimensional reconstruction based on the skin boundary to generate a three-dimensional model of the target breast tissue (e.g. Figure 5 shown).

[0099] Step S107: Calculate a first volume of the target breast tissue based on the generated three-dimensional model.

[0100] Step S108: output the first volume.

[0101] In the embodiment of the present invention, not only the volume of the target breast tissue can be calculated, but also the accurate surface contour of the target breast tissue can be provided, so that doctors can intuitively obtain the surface morphological characteristics of the breast during diagnosis, thereby improving the accuracy of diagnosis.

[0102] In some other optional specific embodiments, the prone breast ultrasound imaging method further includes:

[0103] Step S109, obtaining a second volume of the target breast tissue;

[0104] Step S110, outputting the second volume;

[0105] The second volume is obtained by the following method:

[0106] Step 1: Place the patient's target breast tissue into a target container (e.g. Figure 6 The target container is a special container with a fixed volume.

[0107] Step 2: Fill the target container with water until the target breast tissue is completely immersed in the water, and record the amount of water filled. Specifically, water can be added to the target container using a water pump. Filling the target container with water here means the water level reaches the nominal line (the nominal capacity mark) of the target container.

[0108] Step 3: Calculate the volume of the target breast tissue based on the capacity of the target container and the water injection volume. Specifically, the volume of the target breast tissue can be obtained by subtracting the water injection volume from the nominal capacity of the target container.

[0109] In an embodiment of the present invention, a patient's breast volume is obtained both through three-dimensional reconstruction of the skin boundary and through the water immersion method. By mutually verifying the breast volumes obtained by these two methods, a patient's breast volume can be accurately calculated, providing more accurate data support for the diagnosis of breast diseases. For example, it can assist doctors in diagnosing breast development status, mass volume, and bilateral differences.

[0110] In summary, the embodiments of the present invention provide a method for breast volume calculation and frequency optimization based on 3D reconstructed images and dark area ratio analysis. This method automatically adjusts the ultrasound frequency based on the dark area ratio during the scan, resolving the issue of unclear imaging of deep areas due to insufficient penetration, improving imaging quality, and enabling accurate breast volume calculation, meeting clinical needs for breast disease diagnosis and preoperative evaluation. Furthermore, automated image optimization and volume calculation simplify the operation process, reduce manual steps, and improve clinical examination efficiency.

[0111] This embodiment also provides a prone breast ultrasound imaging device for implementing the above-mentioned embodiments and preferred embodiments. Details already described will not be repeated. As used below, the term "module" may refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented using software, implementation using hardware, or a combination of software and hardware, is also possible and contemplated.

[0112] This embodiment provides a prone breast ultrasound imaging device, such as Figure 7 As shown, including:

[0113] Ultrasonic image acquisition module 701, configured to acquire a target two-dimensional ultrasonic image acquired by an ultrasonic probe of a prone position ultrasonic device; the target two-dimensional ultrasonic image is a multi-frame two-dimensional ultrasonic image acquired by the ultrasonic probe around the target breast tissue for at least one circle;

[0114] A frequency adjustment module 702 is configured to determine a dark area ratio based on the target two-dimensional ultrasound image, and adjust the ultrasound frequency based on the dark area ratio;

[0115] The re-acquisition module 703 is configured to re-acquire the two-dimensional ultrasound image of the target breast tissue based on the adjusted ultrasound frequency.

[0116] In some optional implementations, the frequency adjustment module 702 includes:

[0117] a processing unit, configured to process the target two-dimensional ultrasonic image to obtain a first ultrasonic image; the first ultrasonic image is a two-dimensional ultrasonic image or a three-dimensional ultrasonic image, and the first ultrasonic image does not include redundant images and does not have missing images;

[0118] An adjustment unit is configured to determine a dark area ratio based on the first ultrasound image, and adjust the ultrasound frequency based on the dark area ratio.

[0119] In some optional embodiments, the adjustment unit is specifically used to input the first ultrasound image into a machine learning model; the machine learning model includes a dark area ratio analysis network and an ultrasonic frequency adjustment network; obtain the dark area ratio output by the dark area ratio analysis network; input the dark area ratio into the ultrasonic frequency adjustment network; obtain the target ultrasonic frequency output by the ultrasonic frequency adjustment network; and adjust the ultrasonic frequency to the target ultrasonic frequency.

[0120] In some optional embodiments, the processing unit is specifically used to obtain target information, the target information including probe parameters and / or depth data when acquiring the target two-dimensional ultrasound image, the probe parameters including the sound beam direction and / or stepping trajectory; according to the target information, the target two-dimensional ultrasound image is spatially aligned to generate a three-dimensional ultrasound image; the generated three-dimensional ultrasound image is used as the first ultrasound image, or a two-dimensional ultrasound image is obtained based on the three-dimensional ultrasound image as the first ultrasound image.

[0121] In some optional implementations, the frequency adjustment module 702 includes:

[0122] a dark area ratio determining unit, configured to determine a dark area ratio based on the target two-dimensional ultrasound image;

[0123] A correspondence table acquisition unit, configured to acquire a correspondence table between preset dark area ratios and ultrasonic frequency adjustment values;

[0124] A table lookup unit, configured to obtain a corresponding target ultrasonic frequency adjustment value by querying the corresponding relationship table;

[0125] An adjustment unit is configured to adjust the ultrasonic frequency according to the target ultrasonic frequency adjustment value.

[0126] In some optional embodiments, the prone breast ultrasound imaging apparatus further comprises:

[0127] A reacquisition module, configured to acquire a reacquired second two-dimensional ultrasound image;

[0128] an identification module, configured to respectively identify skin boundaries in the second two-dimensional ultrasound image;

[0129] a reconstruction module, configured to perform three-dimensional reconstruction based on the skin boundary to generate a three-dimensional model of the target breast tissue;

[0130] a first volume calculation module, configured to calculate a first volume of the target breast tissue based on the generated three-dimensional model;

[0131] A first output module is configured to output the first volume.

[0132] In some optional embodiments, the prone breast ultrasound imaging apparatus further comprises:

[0133] a second volume acquisition module, configured to acquire a second volume of the target breast tissue;

[0134] a second output module, configured to output the second volume;

[0135] The second volume is obtained by the following method:

[0136] placing the target breast tissue of the patient into a target container;

[0137] Filling the target container with water so that the target breast tissue is completely immersed in the water, and recording the amount of water filled;

[0138] The volume of the target breast tissue is calculated based on the capacity of the target container and the water injection volume.

[0139] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0140] The prone breast ultrasound imaging device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0141] The embodiment of the present invention also provides a computer device having the above Figure 7 The prone breast ultrasound imaging device is shown.

[0142] See also Figure 8 , Figure 8 is a structural diagram of a computer device provided by an optional embodiment of the present invention, such as Figure 8As shown, the computer device can be a prone ultrasound imaging device or other computer device, specifically including: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed in the computer device, including instructions stored in or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Figure 8 A processor 10 is taken as an example.

[0143] The processor 10 may be a central processing unit, a network processor, or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.

[0144] The memory 20 stores instructions that can be executed by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0145] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0146] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0147] The computer device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 8 The bus connection is taken as an example.

[0148] The input device 30 can receive input digital or character information and generate key signal input related to user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touch pad, an indicator stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 can include a display device, an auxiliary lighting device (e.g., an LED), and a tactile feedback device (e.g., a vibration motor). The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display, and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0149] The computer device further includes a communication interface for the computer device to communicate with other devices or a communication network.

[0150] If the computer device is a prone ultrasound imaging device, then the computer device may also include some structures necessary for prone imaging.

[0151] The embodiment of the present invention also provides a computer-readable storage medium. The above-mentioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.

[0152] A portion of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the form in which the computer program instruction exists in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc. Accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium that can be accessed by the computer.

[0153] Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention. Such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for prone breast ultrasound imaging, characterized in that: The method comprises: Acquire a target two-dimensional ultrasound image acquired by an ultrasound probe of a prone position ultrasound device; the target two-dimensional ultrasound image is a multi-frame two-dimensional ultrasound image acquired by the ultrasound probe around the target breast tissue for at least one circle; determining a dark area ratio based on the target two-dimensional ultrasound image, and adjusting the ultrasound frequency based on the dark area ratio; Based on the adjusted ultrasound frequency, a two-dimensional ultrasound image of the target breast tissue is reacquired.

2. The method according to claim 1, characterized in that The determining the dark area ratio based on the target two-dimensional ultrasound image, and adjusting the ultrasound frequency based on the dark area ratio, includes: Processing the target two-dimensional ultrasonic image to obtain a first ultrasonic image; the first ultrasonic image is a two-dimensional ultrasonic image or a three-dimensional ultrasonic image, and the first ultrasonic image does not include redundant images and does not have missing images; Based on the first ultrasound image, a dark area ratio is determined, and the ultrasound frequency is adjusted based on the dark area ratio.

3. The method according to claim 2, characterized in that The determining, based on the first ultrasound image, a dark area ratio, and adjusting the ultrasound frequency based on the dark area ratio includes: Inputting the first ultrasound image into a machine learning model; the machine learning model includes a dark area ratio analysis network and an ultrasound frequency adjustment network; Obtaining the dark area ratio output by the dark area ratio analysis network; Inputting the dark area ratio into the ultrasonic frequency adjustment network; Obtaining a target ultrasonic frequency output by the ultrasonic frequency adjustment network; The ultrasonic frequency is adjusted to the target ultrasonic frequency.

4. The method according to claim 2, characterized in that The processing of the target two-dimensional ultrasonic image to obtain a first ultrasonic image includes: Acquiring target information, where the target information includes probe parameters and / or depth data when acquiring the target two-dimensional ultrasound image, where the probe parameters include an acoustic beam direction and / or a stepping trajectory; performing spatial registration on the target two-dimensional ultrasound image according to the target information to generate a three-dimensional ultrasound image; The generated three-dimensional ultrasonic image is used as the first ultrasonic image, or a two-dimensional ultrasonic image is obtained based on the three-dimensional ultrasonic image as the first ultrasonic image.

5. The method according to claim 1 or 2, characterized in that The determining the dark area ratio based on the target two-dimensional ultrasound image, and adjusting the ultrasound frequency based on the dark area ratio, includes: determining a dark area ratio based on the target two-dimensional ultrasound image; Obtaining a correspondence table between preset dark area ratios and ultrasonic frequency adjustment values; Obtaining a corresponding target ultrasonic frequency adjustment value by querying the corresponding relationship table; The ultrasonic frequency is adjusted according to the target ultrasonic frequency adjustment value.

6. The method according to any one of claims 1 to 4, characterized in that After reacquiring the two-dimensional ultrasound image of the target breast tissue based on the adjusted ultrasound frequency, the method further includes: acquiring a re-acquired second two-dimensional ultrasound image; identifying skin boundaries in the second two-dimensional ultrasound image respectively; Performing three-dimensional reconstruction based on the skin boundary to generate a three-dimensional model of the target breast tissue; calculating a first volume of the target breast tissue based on the generated three-dimensional model; The first volume is output.

7. The method according to claim 6, characterized in that Also includes: obtaining a second volume of the target breast tissue; outputting the second volume; The second volume is obtained by the following method: placing the target breast tissue of the patient into a target container; Filling the target container with water so that the target breast tissue is completely immersed in the water, and recording the amount of water filled; The volume of the target breast tissue is calculated based on the capacity of the target container and the water injection volume.

8. A prone breast ultrasound imaging device, characterized in that: The device comprises: An ultrasound image acquisition module is configured to acquire a target two-dimensional ultrasound image acquired by an ultrasound probe of a prone position ultrasound device; the target two-dimensional ultrasound image is a multi-frame two-dimensional ultrasound image acquired by the ultrasound probe around the target breast tissue for at least one circle; a frequency adjustment module, configured to determine a dark area ratio based on the target two-dimensional ultrasound image, and adjust the ultrasound frequency based on the dark area ratio; A re-acquisition module is configured to re-acquire the two-dimensional ultrasound image of the target breast tissue based on the adjusted ultrasound frequency.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the prone breast ultrasound imaging method according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the prone breast ultrasound imaging method according to any one of claims 1 to 7.

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