Ultrasonic imaging system and ultrasonic image optimization method

Abstract

According to the ultrasonic imaging system and the ultrasonic image optimization method, first mode imaging is carried out at least based on a first mode parameter to obtain a first mode image of ultrasonic, and second mode imaging is carried out based on a second mode parameter to obtain a second mode image of ultrasonic; the first mode imaging is different from the second mode imaging; the first imaging mode parameter is updated in real time based on a first optimization rule to optimize the first mode image in real time, and the second imaging mode parameter is updated in real time based on a second optimization rule to optimize the second mode image in real time. According to the method and the device, the first mode image and the second mode image are respectively optimized in the multiplexing mode, and unified optimization of each mode image by using optimization parameters of a single mode is not used, so that the image optimization is more targeted, and the effect is better.

Description

Technical Field

[0001] The present invention relates to the field of ultrasonic imaging, and specifically relates to an ultrasonic imaging system and an optimization method for ultrasonic images. Background Art

[0002] Ultrasonic imaging technology can image many organs in the human body to assist doctors in diagnosis. Ultrasonic imaging technology is a technology that uses ultrasonic waves to scan human tissues and organs, and obtains images of corresponding regions through the reception and processing of reflected signals. Specifically, ultrasonic imaging technology emits ultrasonic waves to a target tissue, receives echo data returned by the target tissue, and generates an ultrasonic image of the target tissue based on the received echo data. Due to its advantages such as non-invasiveness, low cost, and strong real-time performance, ultrasonic imaging has gradually become the most widely used and frequently used examination method in current medical imaging examinations.

[0003] In order to enable doctors to better use ultrasonic images for diagnosis, it is usually necessary to optimize ultrasonic images so that the content that doctors are concerned about can be better displayed on the ultrasonic images. Summary of the Invention

[0004] Regarding the problem of ultrasonic image optimization, the present application provides an ultrasonic imaging system and an optimization method for ultrasonic images, which are specifically described below.

[0005] According to a first aspect, an ultrasonic imaging system is provided, including:

[0006] An ultrasonic probe for emitting ultrasonic waves to a target object and receiving echo signals of the ultrasonic waves;

[0007] A transmitting and receiving control circuit for controlling the ultrasonic probe to perform the emission of ultrasonic waves and the reception of echo signals of ultrasonic waves;

[0008] A multiplex real-time optimization key for a multiplex imaging mode, used to generate a multiplex real-time optimization instruction;

[0009] A processor and a display; wherein:

[0010] In the multiplex imaging mode: the processor performs first-mode imaging based on at least first-mode parameters to obtain a first-mode ultrasonic image, and performs second-mode imaging based on second-mode parameters to obtain a second-mode ultrasonic image; the first-mode imaging is different from the second-mode imaging;

[0011] In response to the multiplex real-time optimization instruction, the processor activates the multiplex real-time optimization function, and in the multiplex real-time optimization function: the processor updates the first-mode parameters in real time to optimize the first-mode image in real time, and updates the second-mode parameters in real time to optimize the second-mode image in real time.

[0012] The display is used to display the first mode image and the second mode image.

[0013] In one embodiment, the processor updates the first mode parameters in real time to optimize the first mode image in real time, including: updating the first mode parameters at least based on the real-time image content of the first mode image.

[0014] In one embodiment, the processor updates the first mode parameters at least based on the real-time image content of the first mode image, including:

[0015] Performing recognition based on the real-time image content of the first mode image to obtain a recognition result, where the recognition result includes at least one of the current inspection mode, the imaging mode of the first mode imaging, the section type of the first mode image, and the detection part of the first mode image;

[0016] Updating the first mode parameters at least based on the recognition result.

[0017] In one embodiment, the processor updates the first mode parameters in real time to optimize the first mode image in real time, including:

[0018] Based on at least one of the current inspection mode, the imaging mode of the first mode imaging, the section type of the first mode image, the detection part of the first mode image, and the image content of the first mode image, updating the first imaging mode parameters in real time.

[0019] In one embodiment, the processor recognizes the imaging mode of the first mode imaging based on the first mode image, or the processor determines the imaging mode of the first mode imaging based on the received user input of the first imaging mode;

[0020] And / or,

[0021] The processor recognizes the section type of the first mode image based on the first mode image, or the processor determines the section type of the first mode image based on the received user input of the first section type;

[0022] And / or,

[0023] The processor recognizes the detection part of the first mode image based on the first mode image.

[0024] In one embodiment, when the inspection mode, the imaging mode of the first-mode imaging, and the section type of the first-mode image remain unchanged: when the image content of the first-mode image changes, the processor updates the first imaging mode parameter based on the changed image content.

[0025] Or,

[0026] When the inspection mode, the imaging mode of the first-mode imaging, the section type of the first-mode image, and the detection part of the first-mode image remain unchanged: when the image content of the first-mode image changes, the processor updates the first imaging mode parameter based on the changed image content.

[0027] In one embodiment, the processor updates the first mode parameter at least based on the real-time image content of the first-mode image, including: calculating a first feature quantity based on the real-time image content of the first-mode image, and updating the first mode parameter at least based on the first feature quantity.

[0028] In one embodiment, the processor updates the second mode parameter in real time to optimize the second-mode image in real time, including: updating the second mode parameter at least based on the real-time image content of the first-mode image; or updating the second mode parameter at least based on the updated first mode parameter.

[0029] In one embodiment, the display superimposes and displays the first-mode image and the second-mode image.

[0030] In one embodiment, the processor updates the second mode parameter in real time to optimize the second-mode image in real time, including: updating the second mode parameter at least based on the real-time image content of the second-mode image.

[0031] In one embodiment, the processor updates the second mode parameter at least based on the real-time image content of the second-mode image, including:

[0032] Performing recognition based on the real-time image content of the second-mode image to obtain a recognition result, where the recognition result includes at least one of the current inspection mode, the imaging mode of the second-mode imaging, the section type of the second-mode image, and the detection part of the second-mode image;

[0033] Updating the second mode parameter at least based on the recognition result.

[0034] In one embodiment, the processor updates the second mode parameter in real time to optimize the second-mode image in real time, including:

[0035] Based on at least one of the current inspection mode, the imaging mode of the second-mode imaging, the section type of the second-mode image, the detection part of the second-mode image, and the image content of the second-mode image, the second imaging mode parameter is updated in real time.

[0036] In one embodiment, when the inspection mode, the imaging mode of the second-mode imaging, and the section type of the second-mode image remain unchanged: when the image content of the second-mode image changes, the processor updates the second imaging mode parameter based on the changed image content;

[0037] Or,

[0038] When the inspection mode, the imaging mode of the second-mode imaging, the section type of the second-mode image, and the detection part of the second-mode image remain unchanged: when the image content of the second-mode image changes, the processor updates the second imaging mode parameter based on the changed image content.

[0039] In one embodiment, the processor updates the second mode parameter at least based on the real-time image content of the second-mode image, including: calculating a second feature quantity based on the real-time image content of the second-mode image, and updating the second mode parameter at least based on the second feature quantity.

[0040] In one embodiment, the imaging mode of the first-mode imaging is any one of B mode, C mode, M mode, PW mode, and CW mode;

[0041] In one embodiment, the first mode parameters corresponding to the B mode include at least one of gain, depth, dynamic range, gray scale map, frame correlation, smoothing, scan density; and / or, the first mode parameters corresponding to the C mode include at least one of frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, color priority; and / or, the first mode parameters corresponding to the PW mode include at least one of frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sampling volume, scan density; and / or, the first mode parameters corresponding to the M mode include at least one of gain, dynamic range.

[0042] In one embodiment, the imaging mode of the second-mode imaging is any one of B mode, C mode, M mode, PW mode, and CW mode;

[0043] In one embodiment, the second mode parameters corresponding to the B mode include at least one of gain, depth, dynamic range, gray scale map, frame correlation, smoothing, and scan density; and / or, the second mode parameters corresponding to the C mode include at least one of frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, and color priority; and / or, the second mode parameters corresponding to the PW mode include at least one of frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sampling volume, and scan density; and / or, the second mode parameters corresponding to the M mode include at least one of gain and dynamic range.

[0044] According to a second aspect, an embodiment provides an ultrasonic imaging system, including:

[0045] An ultrasonic probe for transmitting ultrasonic waves to a target object and receiving echo signals of the ultrasonic waves;

[0046] A transmitting and receiving control circuit for controlling the ultrasonic probe to perform transmission of ultrasonic waves and reception of echo signals of the ultrasonic waves;

[0047] A processor and a display; wherein, the processor is configured to control entry into a multiplex imaging mode, and in the multiplex imaging mode:

[0048] The processor performs first mode imaging based on at least first mode parameters to obtain a first mode image of ultrasound, and performs second mode imaging based on second mode parameters to obtain a second mode image of ultrasound; the first mode imaging is different from the second mode imaging;

[0049] The processor updates the first imaging mode parameters in real time based on a first optimization rule to optimize the first mode image in real time, and updates the second imaging mode parameters in real time based on a second optimization rule to optimize the second mode image in real time;

[0050] The display is configured to display the first mode image and the second mode image.

[0051] In one embodiment, the first optimization rule includes: updating the first mode parameters based at least on the real-time image content of the first mode image.

[0052] In one embodiment, the processor updates the first mode parameters based at least on the real-time image content of the first mode image, including:

[0053] Performing recognition based on the real-time image content of the first mode image to obtain a recognition result, where the recognition result includes at least one of a current examination mode, an imaging mode of the first mode imaging, a section type of the first mode image, and a detection site of the first mode image;

[0054] Update the first mode parameter at least based on the recognition result.

[0055] In one embodiment, the first optimization rule includes: updating the first imaging mode parameter in real time based on at least one of the current inspection mode, the imaging mode of the first mode imaging, the section type of the first mode image, the detection part of the first mode image, and the image content of the first mode image.

[0056] In one embodiment, the processor identifies the imaging mode of the first mode imaging based on the first mode image, or the processor determines the imaging mode of the first mode imaging based on the first imaging mode of the received user input;

[0057] And / or,

[0058] The processor identifies the section type of the first mode image based on the first mode image, or the processor determines the section type of the first mode image based on the first section type of the received user input;

[0059] And / or,

[0060] The processor identifies the detection part of the first mode image based on the first mode image.

[0061] In one embodiment, the first optimization rule includes:

[0062] When the inspection mode, the imaging mode of the first mode imaging, and the section type of the first mode image remain unchanged: when the image content of the first mode image changes, the processor updates the first imaging mode parameter based on the changed image content;

[0063] Or,

[0064] When the inspection mode, the imaging mode of the first mode imaging, the section type of the first mode image, and the detection part of the first mode image remain unchanged: when the image content of the first mode image changes, the processor updates the first imaging mode parameter based on the changed image content.

[0065] In one embodiment, the processor updates the first mode parameter at least based on the real-time image content of the first mode image, including: calculating a first feature quantity based on the real-time image content of the first mode image, and updating the first mode parameter at least based on the first feature quantity.

[0066] In one embodiment, the second optimization rule includes: updating the second mode parameter based at least on the real-time image content of the first mode image; or updating the second mode parameter based at least on the updated first mode parameter.

[0067] In one embodiment, the display superimposes and displays the first mode image and the second mode image.

[0068] In one embodiment, the second optimization rule includes: updating the second mode parameter based at least on the real-time image content of the second mode image.

[0069] In one embodiment, the processor updates the second mode parameter based at least on the real-time image content of the second mode image, including:

[0070] Performing recognition based on the real-time image content of the second mode image to obtain a recognition result, where the recognition result includes at least one of the current inspection mode, the imaging mode of the second mode imaging, the section type of the second mode image, and the detection part of the second mode image;

[0071] Updating the second mode parameter based at least on the recognition result.

[0072] In one embodiment, the second optimization rule includes: updating the second imaging mode parameter in real time based on at least one of the current inspection mode, the imaging mode of the second mode imaging, the section type of the second mode image, the detection part of the second mode image, and the image content of the second mode image.

[0073] In one embodiment, when the inspection mode, the imaging mode of the second mode imaging, and the section type of the second mode image remain unchanged: when the image content of the second mode image changes, the processor updates the second imaging mode parameter based on the changed image content;

[0074] Or,

[0075] When the inspection mode, the imaging mode of the second mode imaging, the section type of the second mode image, and the detection part of the second mode image remain unchanged: when the image content of the second mode image changes, the processor updates the second imaging mode parameter based on the changed image content.

[0076] In one embodiment, the processor updates the second mode parameter based at least on the real-time image content of the second mode image, including: calculating a second feature quantity based on the real-time image content of the second mode image, and updating the second mode parameter based at least on the second feature quantity.

[0077] In one embodiment, the imaging mode of the first-mode imaging is any one of B-mode, C-mode, M-mode, PW-mode, and CW-mode;

[0078] In one embodiment, the first-mode parameters corresponding to the B-mode include at least one of gain, depth, dynamic range, grayscale map, frame correlation, smoothing, and scan density; and / or, the first-mode parameters corresponding to the C-mode include at least one of frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, and color priority; and / or, the first-mode parameters corresponding to the PW-mode include at least one of frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sampling volume, and scan density; and / or, the first-mode parameters corresponding to the M-mode include at least one of gain and dynamic range.

[0079] In one embodiment, the imaging mode of the second-mode imaging is any one of B-mode, C-mode, M-mode, PW-mode, and CW-mode;

[0080] In one embodiment, the second-mode parameters corresponding to the B-mode include at least one of gain, depth, dynamic range, grayscale map, frame correlation, smoothing, and scan density; and / or, the second-mode parameters corresponding to the C-mode include at least one of frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, and color priority; and / or, the second-mode parameters corresponding to the PW-mode include at least one of frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sampling volume, and scan density; and / or, the second-mode parameters corresponding to the M-mode include at least one of gain and dynamic range.

[0081] According to a third aspect, an embodiment provides an ultrasonic imaging system, including:

[0082] An ultrasonic probe, configured to emit ultrasonic waves to a target object and receive echo signals of the ultrasonic waves;

[0083] A transmitting and receiving control circuit, configured to control the ultrasonic probe to perform transmission of ultrasonic waves and reception of echo signals of the ultrasonic waves;

[0084] A processor, configured to perform first-mode imaging based on first-mode parameters to obtain a first-mode image of the ultrasonic waves; the processor updates the first imaging mode parameters in real time based on a first optimization rule to optimize the first-mode image in real time;

[0085] A display, configured to display the first-mode image.

[0086] In one embodiment, the first optimization rule includes: updating the first mode parameter at least based on the real-time image content of the first mode image.

[0087] In one embodiment, the processor updates the first mode parameter at least based on the real-time image content of the first mode image, including:

[0088] Performing recognition based on the real-time image content of the first mode image to obtain a recognition result, where the recognition result includes at least one of the current inspection mode, the imaging mode of the first mode imaging, the section type of the first mode image, and the detection part of the first mode image;

[0089] Updating the first mode parameter at least based on the recognition result.

[0090] In one embodiment, the first optimization rule includes: updating the first imaging mode parameter in real time based on at least one of the current inspection mode, the imaging mode of the first mode imaging, the section type of the first mode image, the detection part of the first mode image, and the image content of the first mode image.

[0091] In one embodiment, the processor recognizes the imaging mode of the first mode imaging based on the first mode image, or the processor determines the imaging mode of the first mode imaging based on the received user input of the first imaging mode;

[0092] And / or,

[0093] The processor recognizes the section type of the first mode image based on the first mode image, or the processor determines the section type of the first mode image based on the received user input of the first section type;

[0094] And / or,

[0095] The processor recognizes the detection part of the first mode image based on the first mode image.

[0096] In one embodiment, the first optimization rule includes:

[0097] When the inspection mode, the imaging mode of the first mode imaging, and the section type of the first mode image remain unchanged: when the image content of the first mode image changes, the processor updates the first imaging mode parameter based on the changed image content;

[0098] Or,

[0099] In the case where the imaging mode of the first mode imaging, the section type of the first mode image, and the detection part of the first mode image remain unchanged in the inspection mode: when the image content of the first mode image changes, the processor updates the first imaging mode parameters based on the changed image content.

[0100] In one embodiment, the processor updates the first mode parameters at least based on the real-time image content of the first mode image, including: calculating a first feature quantity based on the real-time image content of the first mode image, and updating the first mode parameters at least based on the first feature quantity.

[0101] In one embodiment, the imaging mode of the first mode imaging is any one of B mode, C mode, M mode, PW mode, and CW mode;

[0102] In one embodiment, the first mode parameters corresponding to the B mode include at least one of gain, depth, dynamic range, gray scale map, frame correlation, smoothing, scan density; and / or, the first mode parameters corresponding to the C mode include at least one of frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, color priority; and / or, the first mode parameters corresponding to the PW mode include at least one of frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sampling volume, scan density; and / or, the first mode parameters corresponding to the M mode include at least one of gain, dynamic range.

[0103] According to the fourth aspect, an embodiment provides an optimization method for ultrasonic images, including:

[0104] Performing first mode imaging based at least on first mode parameters to obtain a first mode image of ultrasound, and performing second mode imaging based on second mode parameters to obtain a second mode image of ultrasound; the first mode imaging is different from the second mode imaging;

[0105] Updating the first imaging mode parameters in real time based on a first optimization rule to optimize the first mode image in real time, and updating the second imaging mode parameters in real time based on a second optimization rule to optimize the second mode image in real time;

[0106] Displaying the first mode image and the second mode image.

[0107] In one embodiment, the first optimization rule includes: updating the first mode parameters at least based on the real-time image content of the first mode image; and / or, the second optimization rule includes: updating the second mode parameters at least based on the real-time image content of the first mode image; or, updating the second mode parameters at least based on the updated first mode parameters.

[0108] In one embodiment, updating the first mode parameter based on at least the real-time image content of the first mode image includes: calculating a second feature quantity based on the real-time image content of the second mode image, and updating the second mode parameter based on at least the second feature quantity.

[0109] In one embodiment, the second optimization rule includes: updating the second mode parameter based on at least the real-time image content of the first mode image; or updating the second mode parameter based on at least the updated first mode parameter.

[0110] According to the ultrasonic imaging system and the optimization method of ultrasonic images implemented above, a method for real-time optimization of ultrasonic images is proposed, which can make the ultrasonic images be optimized in real time;

[0111] According to the ultrasonic imaging system and the optimization method of ultrasonic images implemented above, in the multi-mode, the first mode image and the second mode image are respectively optimized, rather than using the optimization parameters of a single mode to uniformly optimize each mode image. Therefore, the image optimization of the present application is more targeted and has better effects;

[0112] According to the ultrasonic imaging system and the optimization method of ultrasonic images implemented above, in the multi-mode, by using the first mode image as a reference to optimize the second mode image, a better effect can be achieved for the optimization of the second mode image;

[0113] According to the ultrasonic imaging system and the optimization method of ultrasonic images implemented above, in the multi-mode, by using the first mode image as a reference to optimize the second mode image, the optimized different mode images can be more coordinated and matched with each other. BRIEF DESCRIPTION OF THE DRAWINGS

[0114] Figure 1 is a schematic structural diagram of an ultrasonic imaging system according to an embodiment;

[0115] FIG. 2(a) shows a schematic diagram of an example of data rearrangement;

[0116] FIG. 2(b) shows a schematic diagram of another example of data rearrangement;

[0117] FIG. 2(c) shows a schematic diagram of yet another example of data rearrangement;

[0118] Figure 3 is a schematic diagram showing the display of the first mode image and the second mode image in the multi-mode imaging mode according to an embodiment;

[0119] Figure 4 is a flowchart of an optimization method for ultrasonic images according to an embodiment;

[0120] Figure 5 Flow chart of an optimization method for an ultrasonic image according to an embodiment;

[0121] Figure 6 Flow chart of an optimization method for an ultrasonic image according to an embodiment. Detailed implementation manners

[0122] The present invention will be further described in detail below in conjunction with the accompanying drawings through specific implementation manners. Similar elements in different implementation manners are labeled with related similar element numbers. In the following implementation manners, many detailed descriptions are provided to enable a better understanding of the present application. However, those skilled in the art can easily recognize that some of the features can be omitted in different situations, or can be replaced by other elements, materials, or methods. In some cases, some operations related to the present application are not shown or described in the specification to avoid the core part of the present application being overwhelmed by excessive descriptions. For those skilled in the art, it is not necessary to describe these related operations in detail, and they can fully understand the related operations based on the descriptions in the specification and general technical knowledge in the art.

[0123] In addition, the features, operations, or characteristics described in the specification can be combined in any appropriate manner to form various implementation manners. At the same time, the steps or actions in the method description can also be reordered or adjusted in a manner obvious to those skilled in the art. Therefore, the various sequences in the specification and drawings are only for clearly describing a certain embodiment and do not mean a necessary sequence unless it is stated that a certain sequence must be followed.

[0124] The serial numbers assigned to the components herein, such as "first", "second", etc., are only used to distinguish the described objects and do not have any sequential or technical meaning. The "connection" and "coupling" mentioned in the present application, unless otherwise specified, both include direct and indirect connections (couplings).

[0125] Please refer to Figure 1 , some embodiments disclose an ultrasonic imaging system 100. The ultrasonic imaging system 100 includes an ultrasonic probe 10, a transmitting and receiving control circuit 20, a processor 30, and a display 40, which will be specifically described below.

[0126] The ultrasonic probe 10 is used to emit ultrasonic waves to a target object (such as biological tissues in a human body or an animal body), and receive echo signals of the ultrasonic waves. In some specific embodiments, the ultrasonic probe 10 includes a plurality of array elements, which are used to realize the mutual conversion between electrical pulse signals and ultrasonic waves, so as to emit ultrasonic waves to the target object and receive the ultrasonic echoes reflected by the tissue, in order to obtain the echo signals of the ultrasonic waves. In some embodiments, these plurality of array elements included in the ultrasonic probe 10 can be arranged in a row to form a linear array. In some embodiments, these plurality of array elements included in the ultrasonic probe 10 are arranged in a two-dimensional matrix to form a planar array. The array elements are, for example, piezoelectric crystals, which convert electrical signals into ultrasonic signals according to the transmission sequence transmitted by the transmitting and receiving control circuit 20. According to the use, the emitted ultrasonic waves (ultrasonic signals) may include one or more scanning pulses, one or more reference pulses, one or more push pulses, and / or one or more Doppler pulses. According to the waveform of the wave, the ultrasonic signals include focused waves, plane waves, and divergent waves. The array elements are used to emit ultrasonic waves according to the excitation electrical signals, or convert the received ultrasonic waves into electrical signals. Therefore, each array element can be used to realize the mutual conversion between electrical pulse signals and ultrasonic waves, so as to emit ultrasonic waves to the target object, and can also be used to receive the echo signals of the ultrasonic waves reflected by the tissue. During ultrasonic detection, the transmitting and receiving control circuit 20 can be used to control which array elements are used to emit ultrasonic beams (transmitting array elements), which array elements are used to receive ultrasonic beams (receiving array elements), or control the array elements to be used for emitting ultrasonic waves or receiving the echo signals of ultrasonic waves in time slots. The array elements participating in ultrasonic wave emission can be simultaneously excited by electrical signals, so as to emit ultrasonic waves simultaneously; or the array elements participating in ultrasonic wave emission can also be excited by several electrical signals with a certain time interval, so as to continuously emit ultrasonic waves with a certain time interval. If the smallest processing area that receives and reflects ultrasonic waves in the target object is called the position point in the tissue, then after the ultrasonic waves reach each position point of the target object, different reflections will be generated due to the different tissue acoustic impedances at different position points. The reflected ultrasonic waves are picked up by the receiving array elements, and each receiving array element may receive the ultrasonic echoes (ultrasonic echoes) of multiple position points. The ultrasonic echoes of different position points received by each receiving array element form different channel echo data. For a certain receiving array element, the distances from it to different position points in the target object are different. Therefore, the arrival times of the ultrasonic echoes reflected by each position point at this array element are also different. The corresponding relationship between the ultrasonic echoes and the position points can be identified according to the arrival time of the ultrasonic echoes at this array element.

[0127] In some examples, the target object can be selected by the user. For example, when a conventional ultrasound image is displayed on the display 40, the user can select an area of interest on the conventional ultrasound image to determine the target tissue to be scanned. In some examples, the processor 30 can also automatically determine the position of the area of interest on the basic ultrasound image based on relevant machine recognition algorithms to determine the target tissue to be scanned. In some examples, the target object can also be obtained by semi-automatic detection to determine the target tissue to be scanned. For example, first, the processor 30 automatically detects the position of the target object on the basic ultrasound image based on the machine recognition algorithm, and then the user further modifies or corrects it to obtain a more accurate position of the target object.

[0128] The user selects a suitable position and angle by moving the ultrasound probe 10 to emit ultrasonic waves towards the target object and receive the echoes of the ultrasonic waves returned by the target object, and outputs an ultrasonic echo signal. The ultrasonic echo signal is a channel analog electrical signal formed by the receiving array elements as channels, and it can carry information such as amplitude information, frequency information, and / or time information.

[0129] The transmit and receive control circuit 20 is used to control the ultrasound probe 10 to emit ultrasonic waves and receive the echo signals of the ultrasonic waves. For example, on the one hand, the transmit and receive control circuit 20 is used to control the ultrasound probe 10 to emit ultrasonic waves towards the target object, and on the other hand, it is used to control the ultrasound probe 10 to receive the ultrasonic echoes reflected by the tissue. In some specific embodiments, the transmit and receive control circuit 20 is used to generate a transmit sequence and a receive sequence and output them to the ultrasound probe 10. The transmit sequence is used to control some or all of the multiple array elements in the ultrasound probe 10 to emit ultrasonic waves towards the target object. The parameters of the transmit sequence include the number of array elements used for transmission and the ultrasonic wave transmission parameters (such as amplitude, frequency, number of wave transmissions, transmission interval, transmission angle, waveform, and / or focusing position, etc.). The receive sequence is used to control some or all of the multiple array elements to receive the echoes of the ultrasonic waves after passing through the tissue. The parameters of the receive sequence include the number of array elements used for reception and the echo reception parameters (such as reception angle, depth, etc.). Depending on the different uses of the ultrasonic echoes or the different images generated based on the ultrasonic echoes, the ultrasonic wave parameters in the transmit sequence and the echo parameters in the receive sequence are also different. For example, for different working modes, such as B-mode, C-mode, M-mode, and D-mode (Doppler mode), the transmit sequence parameters may be different. After the echo signal is received by the transmit and receive control circuit 20 controlling the ultrasound probe 10 and processed by subsequent modules and corresponding algorithms, B-images reflecting tissue anatomical structures, C-images reflecting blood flow information, and D-images reflecting Doppler spectral images can be generated.

[0130] The processor 30 is used to process the ultrasonic echo signals received by the ultrasonic probe 10 (i.e., the echo signals of ultrasonic waves), and can perform data processing for one or more links, such as receiving and forming channel data, analog-to-digital conversion, signal demodulation, amplification, filtering, downsampling, beamforming, modulus extraction, logarithmic compression, and gray-scale transformation, etc.; the following is an explanation of each data processing link.

[0131] The array elements of the ultrasonic probe 10 receive the echo signals of ultrasonic waves and convert them into data represented by electrical signals. This data is an analog signal, and after passing through the analog-to-digital conversion link, a digital signal is obtained. The signal demodulation link refers to demodulating the input ultrasonic data, where the input ultrasonic data can be the digital signal obtained after passing through the analog-to-digital conversion link; the demodulation methods can include: simple demodulation, quadrature demodulation, Hilbert transform demodulation, secondary sampling demodulation, multiple sampling demodulation, or baseband sampling demodulation, etc. The commonly used demodulation method is quadrature demodulation. That is, the received echo signal is divided into two paths and multiplied by cos(ωnT s ) and sin(ωnT s ), respectively. The amplification processing link includes: according to the different reception times of the ultrasonic data, different amplification factors are used to amplify the ultrasonic data to compensate for the attenuation of the data signal; or, according to the different positions of the ultrasonic data, different amplification factors are given to compensate for the attenuation of the data signal; the amplification processing link can be after the signal demodulation link.

[0132] The filtering processing link is usually after signal demodulation. By, for example, a low-pass filter, the signal quality is improved. Downsampling is to reduce the sampling rate of the signal and reduce the amount of calculation. Data normalization can include scaling normalization or standard normalization. Data normalization can limit the data within a certain range, thereby eliminating the adverse effects caused by singular (sample) data.

[0133] Principal component analysis includes: centralizing the features of the ultrasonic data to obtain features, solving the covariance matrix of the features, solving the eigenvalues of the covariance matrix, selecting the largest eigenvalue to form an eigenvector, and projecting the ultrasonic data onto the eigenvector; principal component analysis mainly plays the role of reducing the dimensionality of data features.

[0134] Data augmentation includes performing translation and / or adding noise to the ultrasonic data, which is to improve the accuracy of the neural network in processing data. For example, when training a neural network, among the limited training data, operations such as translating and adding noise to the data are performed to expand the size of the data set, thereby enhancing the accuracy of the neural network.

[0135] Data rearrangement includes rearranging the ultrasonic data in at least one of the following ways: arranging the ultrasonic data received by each element of the ultrasonic probe 10 into two columns (one column for I data and one column for Q data after demodulation. Assuming the received data of a certain element is (Npoint*1), it is arranged into two columns as shown in the I1Q1 two columns of data in Figure 2(a)) or arranging it into one column before demodulation; arranging the ultrasonic echo data (Npoint*2n) received by all effective elements of the ultrasonic probe 10 after the same ultrasonic wave emission into a matrix (as shown in the N*2n matrix of I1Q1...InQn in Figure 2(b), where n is the number of effective elements); dividing the ultrasonic echo data (Npoint*1) received by each element of the ultrasonic probe 10 into multiple (for example, m) parts and then arranging them into a matrix (Npoint / m, 2m, as shown in the I1-1Q1-1 and I1-2Q1-2 data in Figure 2(c), where Figure 2(c) is an example with m = 2). It should be noted that if it is the data before demodulation, it is no longer set into two columns, that is Figures 2(a) to 2(c) the number of columns is reduced by half. In addition, in other examples, Figures 2(a) to 2(c) they can also be combined into three-dimensional or even higher-dimensional data inputs. The rearranged data is input into the neural network as the input data of the neural network, which can improve the accuracy of the neural network.

[0136] The beamforming section refers to reconstructing the channel echo data (which can be the radio frequency signal before demodulation or the baseband signal after demodulation) from the channel domain (for example, the data dimension is: time direction * number of channels * number of transmissions) into beam domain data (i.e., beamformed data, for example, the data dimension is: number of longitudinal points * number of horizontal points, which are points in the actual physical space); beamforming can adopt various beamforming methods, including but not limited to the delay-and-sum (DAS) method, the adaptive beamforming method, the coherence factor beamforming method, and so on.

[0137] Modulo operation, logarithmic compression, and grayscale transformation are processing sections performed on the ultrasonic data in the image domain, and these three can also be collectively referred to as scan conversion.

[0138] The processor 30 processes the echo signal of the ultrasonic wave and can finally obtain an ultrasonic image for display on the display 40.

[0139] In some embodiments, the processor 30 includes, but is not limited to, a central processing unit (CPU), a microcontroller unit (MCU), a field-programmable gate array (FPGA), and a digital signal processing (DSP), etc., which are devices for interpreting computer instructions and processing data in computer software.

[0140] In some embodiments, the processor 30 is configured to execute the various computer application programs in the non-transitory computer-readable storage medium, thereby performing corresponding steps and methods. For example, the processor 30 can be implemented by software, hardware, firmware, or a combination thereof, and can use circuitry, one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), central processing units (CPUs), controllers, microcontrollers, microprocessors, such that the processor 20 can execute some steps, all steps, or any combination of steps of the ultrasonic imaging method in the various embodiments of the present application.

[0141] In some embodiments, the processor 30 processes ultrasonic data by executing an ultrasonic imaging method to generate an ultrasonic image.

[0142] The display 40 can be used to display information, such as parameters and images calculated by the processor 30. Those skilled in the art should understand that in some embodiments, the ultrasonic imaging system itself may not integrate a display module, but rather connect to a computer device (such as a computer), and display information through the display module (such as a display screen) of the computer device.

[0143] The above are some descriptions of the ultrasonic imaging system 100.

[0144] In some embodiments, the processor 30 performs first-mode imaging based on first-mode parameters to obtain a first-mode image of the ultrasound; the processor 30 updates the first imaging-mode parameters in real time based on a first optimization rule to optimize the first-mode image in real time; the display 40 is used to display the first-mode image.

[0145] In some embodiments, the first optimization rule includes: updating the first-mode parameters at least based on the real-time image content of the first-mode image. For example, performing recognition based on the real-time image content of the first-mode image to obtain a recognition result, and updating the first-mode parameters at least based on the recognition result; wherein the recognition result includes at least one of the current examination mode, the imaging mode of the first-mode imaging, the section type of the first-mode image, and the detection site of the first-mode image.

[0146] In some embodiments, the first optimization rule includes: real-time updating of the first imaging mode parameters based on at least one of the current inspection mode, the imaging mode of the first-mode imaging, the section type of the first-mode image, the detection site of the first-mode image, and the image content of the first-mode image.

[0147] The above concepts related to the inspection mode, section type, detection site, and imaging mode will be described in detail below.

[0148] The inspection mode refers to the mode of ultrasonic inspection, and the inspection mode may include, but is not limited to, multiple inspection modes such as an obstetric inspection mode, an abdominal inspection mode, and a cardiac inspection mode.

[0149] The inspection mode correspondingly includes multiple section types to be scanned. The multiple section types to be scanned refer to the sections that are desired to be obtained during the ultrasonic scanning process. Among them, the section may be a standard section or a non-standard section. Usually, in clinical and other scenarios, it is expected to obtain ultrasonic images of multiple standard sections of the target object through ultrasonic scanning.

[0150] The detection site is one or more tissues or sites, especially one or more tissues or sites in the current detection mode. For example, in the cardiac inspection mode, the detection site is the heart, and the multiple section types to be scanned may be the apical four-chamber section, the apical three-chamber section, the apical two-chamber section, etc. The sections corresponding to the obstetric inspection mode include at least one of the binocular transverse section, the nasolabial coronal section, and the median sagittal section of the face; the sections corresponding to the abdominal inspection mode include at least one of the right subcostal oblique section, the hepatobiliary section, and the hepatorenal section.

[0151] The imaging mode of the first-mode imaging is any one of the B mode, C mode, M mode, PW mode, and CW mode.

[0152] The inspection mode, section type, detection site, imaging mode, etc. may be selected / specified / set by user input, or may be obtained by recognizing the first-mode image.

[0153] In some embodiments, the processor 30 recognizes the imaging mode of the first-mode imaging based on the first-mode image.

[0154] For example, the processor 30 can determine the imaging mode of the first imaging mode or the first-mode imaging by performing image analysis on the first-mode image; the processor 30 can also input the first-mode image into an imaging mode determination model to obtain the imaging mode of the first imaging mode or the first-mode imaging. Among them, the imaging mode determination model is used to identify the input ultrasonic image and determine the imaging mode of the input ultrasonic image. The imaging mode determination model can be a pre-trained network model, which can be a deep learning or other machine learning model.

[0155] In some embodiments, the processor 30 determines the imaging mode of the first-mode imaging based on the first imaging mode input by the user.

[0156] For example, the imaging mode can be set by the user before or during ultrasonic imaging. The processor 30 determines the first imaging mode of the first-mode image based on the received selection instruction of the imaging mode. The selection instruction of the imaging mode can be generated by triggering through an input device such as a touch screen, a trackball, a button, etc.

[0157] In some embodiments, the imaging mode is the system default. For example, the system default imaging mode is the B mode. The processor 20 can determine the first imaging mode according to the default imaging mode set by the current system.

[0158] In some embodiments, the processor 30 identifies the section type of the first-mode image based on the first-mode image.

[0159] For example, the processor 30 can identify the first-mode image through a pre-trained network model or other image recognition methods to obtain the section type of the first-mode image. In some embodiments, the processor 30 inputs the first-mode image into a section recognition model to obtain the section type of the first-mode image. Among them, the section recognition model is used to identify the section type of the ultrasonic image, and the section recognition model is a trained network model based on deep learning or other machine learning.

[0160] In some embodiments, the processor 30 determines the section type of the first-mode image based on the first section type input by the user.

[0161] For example, the processor 30 determines the section type of the first-mode image based on the received section type input by the user.

[0162] In some embodiments, the processor 30 identifies the detection part of the first-mode image based on the first-mode image.

[0163] For example, the processor 30 can identify the first-mode image through a pre-trained network model, or can identify the first-mode image through other image recognition methods, so as to obtain the detected part of the first-mode image. In some embodiments, the processor 30 inputs the first-mode image into a detected part recognition model to obtain the detected part of the first-mode image. Among them, the detected part recognition model is used to recognize the detected part of the ultrasound image, and the detected part recognition model is a trained network model based on deep learning or other machine learning.

[0164] In some embodiments, the processor 30 determines the scanning mode of the first-mode image based on the received scanning mode input by the user.

[0165] The above is the description of the inspection mode, section type, detected part, imaging mode, etc.

[0166] The first-mode parameters are the imaging parameters used for first-mode imaging to obtain the first-mode image of the ultrasound. It can be understood that the signal processing parameters between transmitting ultrasonic waves and receiving ultrasonic echo data and the image processing parameters during the ultrasound imaging process will all affect the ultrasound imaging. Therefore, the first-mode parameters can include one or more of the transmitting parameters, receiving parameters, signal processing parameters, and image processing parameters.

[0167] In some embodiments, the transmitting parameters include amplitude, frequency, number of transmitted waves, transmission interval, transmission angle, waveform, and / or focusing position, etc.

[0168] In some embodiments, the receiving parameters include receiving angle and / or depth, etc.

[0169] In some embodiments, the signal processing parameters include beamforming algorithms, etc.

[0170] In some embodiments, different imaging modes are associated with different imaging parameters.

[0171] In some embodiments, the first-mode parameters corresponding to the B mode include at least one of gain, depth, dynamic range, grayscale map, frame correlation, smoothing, scan density.

[0172] In some embodiments, the first-mode parameters corresponding to the C mode include at least one of frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, color priority.

[0173] In some embodiments, the first-mode parameters corresponding to the PW mode include at least one of frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sampling volume, scan density.

[0174] In some embodiments, the first mode parameters corresponding to the M mode include at least one of gain and dynamic range.

[0175] In some scenarios, due to the differences between different section types, there are also differences even between different section types of the same detection site. Correspondingly, the imaging parameters corresponding to different section types will also vary. During the scanning process, after the section type changes, the imaging effect using the imaging parameters corresponding to the original section type may not be good. Further, the operator may not be familiar with how to adjust numerous imaging parameters to obtain a better imaging effect. Therefore, the ultrasound imaging system can acquire the section type and automatically adjust the imaging parameters according to the section type.

[0176] For example, liver sections include the right subcostal oblique section, hepatobiliary section, hepatorenal section, etc. These sections are all the sections required for the examination of the liver organ, but there are differences between the ultrasound images of the above sections. Therefore, the imaging parameters need to be adjusted accordingly. For example, for some sections that need to display blood vessels, imaging parameters that can reduce blood vessel noise need to be considered, while for some sections that need to display the internal structure of tissues, imaging parameters such as brightness and contrast need to be adjusted. The mid-frequency point of the imaging parameters of the B-mode ultrasound image of the liver section is at HGen, and the frame correlation is 4, while the mid-frequency point of the imaging parameters of the ultrasound image of the kidney section is at HRes, and the frame correlation is 3.

[0177] In some cases, even with the same examination mode, the same section type, the same detection site, and the same imaging mode, due to the unique tissue structure of each patient, the ultrasound images of the same detection site under the same section type will also be different. Therefore, it may also be necessary to adjust the imaging parameters for the first mode images of different patients in order to obtain high-quality ultrasound images.

[0178] Therefore, in some embodiments, when the examination mode, the imaging mode of the first mode imaging, and the section type of the first mode image remain unchanged: when the image content of the first mode image changes, the processor 30 updates the first imaging mode parameters based on the changed image content.

[0179] In other embodiments, when the examination mode, the imaging mode of the first mode imaging, the section type of the first mode image, and the detection site of the first mode image remain unchanged: when the image content of the first mode image changes, the processor 30 updates the first imaging mode parameters based on the changed image content.

[0180] In some embodiments, the processor 30 updates the first mode parameters at least based on the real-time image content of the first mode image; in some specific embodiments, the processor 30 calculates a first feature quantity based on the real-time image content of the first mode image, and updates the first mode parameters at least based on the first feature quantity.

[0181] In some embodiments, the first feature quantity corresponding to the B mode may be the contrast of the image, the gray level histogram of the image, the position of the brighter region in the image, the position of the darker region in the image, etc. Among them, pixel points with gray values greater than the first threshold may be considered as brighter pixel points, and pixel points with gray values less than the second threshold may be considered as darker pixel points.

[0182] In some embodiments, the first feature quantity corresponding to the C mode may be the blood flow velocity.

[0183] In some embodiments, the first feature quantity corresponding to the PW mode may be the instantaneous blood flow spectrum.

[0184] In some embodiments, the processor 30 performs second mode imaging based on the second mode parameters to obtain a second mode image of the ultrasound; the processor 30 updates the second imaging mode parameters in real time based on the second optimization rule to optimize the second mode image in real time; the display 40 is used to display the second mode image.

[0185] In some embodiments, the second optimization rule includes: updating the second mode parameters at least based on the real-time image content of the second mode image. For example, performing recognition based on the real-time image content of the second mode image to obtain a recognition result, and updating the second mode parameters at least based on the recognition result; wherein, the recognition result includes at least one of the current examination mode, the imaging mode of the second mode imaging, the section type of the second mode image, and the detection part of the second mode image.

[0186] In some embodiments, the second optimization rule includes: updating the second imaging mode parameters in real time based on at least one of the current examination mode, the imaging mode of the second mode imaging, the section type of the second mode image, the detection part of the second mode image, and the image content of the second mode image.

[0187] Concepts such as the examination mode, section type, detection part, and imaging mode involved above will be described in detail below.

[0188] The examination mode refers to the mode of ultrasound examination, and the examination mode may include but is not limited to: various examination modes such as obstetric examination mode, abdominal examination mode, cardiac examination mode, etc.

[0189] The inspection mode corresponds to multiple types of sections to be scanned. The multiple types of sections to be scanned refer to the sections that are desired to be obtained during the ultrasound scan. Among them, the section can be a standard section or a non-standard section. Usually, in clinical and other scenarios, it is expected to obtain ultrasound images of multiple standard sections of the target object through ultrasound scanning.

[0190] The detection site is one or more tissues or parts, especially one or more tissues or parts in the current detection mode. For example, in the cardiac examination mode, the detection site is the heart, and the multiple types of sections to be scanned can be the apical four-chamber section, the apical three-chamber section, the apical two-chamber section, etc. The sections corresponding to the obstetric examination mode include at least one of the transverse section of both eyes, the coronal section of the nose and lip, and the median sagittal section of the face; the sections corresponding to the abdominal examination mode include at least one of the right subcostal oblique section, the hepatobiliary section, and the hepatorenal section.

[0191] The imaging mode of the second-mode imaging is any one of the B mode, C mode, M mode, PW mode, and CW mode.

[0192] The inspection mode, section type, detection site, imaging mode, etc. can be selected / specified / set by user input, or can be obtained based on second-mode image recognition.

[0193] In some embodiments, the processor 30 identifies the imaging mode of the second-mode imaging based on the second-mode image.

[0194] For example, the processor 30 can determine the second imaging mode, that is, the imaging mode of the second-mode imaging, by performing image analysis on the second-mode image; the processor 30 can also input the second-mode image into the imaging mode determination model to obtain the second imaging mode, that is, the imaging mode of the second-mode imaging. Among them, the imaging mode determination model is used to identify the input ultrasound image and determine the imaging mode of the input ultrasound image. The imaging mode determination model can be a pre-trained network model, which can be a deep learning or other machine learning model.

[0195] In some embodiments, the processor 30 determines the imaging mode of the second-mode imaging based on the received user input of the second imaging mode.

[0196] For example, the imaging mode can be set by the user before or during the ultrasound imaging. The processor 30 determines the second imaging mode of the second-mode image based on the received selection instruction of the imaging mode. The selection instruction of the imaging mode can be generated by triggering through an input device, such as a touch screen, a trackball, a button, etc.

[0197] In some embodiments, the imaging mode is the system default. For example, the system default imaging mode is the B mode. The processor 20 may determine the second imaging mode according to the default imaging mode set by the current system.

[0198] In some embodiments, the processor 30 identifies the section type of the second-mode image based on the second-mode image.

[0199] For example, the processor 30 may identify the second-mode image through a pre-trained network model, or may identify the second-mode image through other image recognition methods, so as to obtain the section type of the second-mode image. In some embodiments, the processor 30 inputs the second-mode image into a section recognition model to obtain the section type of the second-mode image. The section recognition model is used to identify the section type of an ultrasound image, and the section recognition model is a trained network model based on deep learning or other machine learning.

[0200] In some embodiments, the processor 30 determines the section type of the second-mode image based on the received user input of the second section type.

[0201] For example, the processor 30 determines the section type of the second-mode image based on the received user input of the section type.

[0202] In some embodiments, the processor 30 identifies the detection site of the second-mode image based on the second-mode image.

[0203] For example, the processor 30 may identify the second-mode image through a pre-trained network model, or may identify the second-mode image through other image recognition methods, so as to obtain the detection site of the second-mode image. In some embodiments, the processor 30 inputs the second-mode image into a detection site recognition model to obtain the detection site of the second-mode image. The detection site recognition model is used to identify the detection site of an ultrasound image, and the detection site recognition model is a trained network model based on deep learning or other machine learning.

[0204] In some embodiments, the processor 30 determines the scanning mode of the second-mode image based on the received user input of the scanning mode.

[0205] The above is the description of the inspection mode, section type, detection site, imaging mode, etc.

[0206] The second mode parameter is the imaging parameter used for second mode imaging to obtain a second mode image of ultrasound. It can be understood that both the signal processing parameters between transmitting ultrasonic waves and receiving ultrasonic echo data and the image processing parameters during the ultrasonic imaging process will affect ultrasonic imaging. Therefore, the second mode parameter may include one or more of the transmitting parameter, receiving parameter, signal processing parameter, and image processing parameter.

[0207] In some embodiments, the transmitting parameter includes amplitude, frequency, number of transmitted waves, transmission interval, transmission angle, waveform, and / or focusing position, etc.

[0208] In some embodiments, the receiving parameter includes receiving angle and / or depth, etc.

[0209] In some embodiments, the signal processing parameter includes beamforming algorithm, etc.

[0210] In some embodiments, different imaging modes are associated with different imaging parameters.

[0211] In some embodiments, the second mode parameter corresponding to the B mode includes at least one of gain, depth, dynamic range, grayscale map, frame correlation, smoothing, scan density.

[0212] In some embodiments, the second mode parameter corresponding to the C mode includes at least one of frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, color priority.

[0213] In some embodiments, the second mode parameter corresponding to the PW mode includes at least one of frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sampling volume, scan density.

[0214] In some embodiments, the second mode parameter corresponding to the M mode includes at least one of gain, dynamic range.

[0215] In some scenarios, due to the differences between different section types, there will also be differences even between different section types of the same detection site. Correspondingly, the imaging parameters corresponding to different section types will also be different. During the scanning process, after the section type changes, it may make the imaging effect using the imaging parameters corresponding to the original section type not good. Further, the operator may not be familiar with how to adjust numerous imaging parameters to obtain a better imaging effect. Therefore, the ultrasonic imaging system can acquire the section type and automatically adjust the imaging parameters according to the section type.

[0216] For example, the liver sections include the right subcostal oblique section, the hepatobiliary section, the hepatorenal section, etc. These sections are all the sections required for the examination of the liver organ. However, there are differences between the ultrasound images of the above sections. Therefore, the imaging parameters need to be adjusted accordingly according to the sections. For example, for some sections that need to display blood vessels, imaging parameters that can reduce blood vessel noise need to be considered, while for some sections that need to display the internal structure of tissues, imaging parameters such as brightness and contrast need to be adjusted. The intermediate frequency point of the imaging parameters of the B-mode ultrasound image of the liver section is at HGen, and the frame correlation is 4, while the intermediate frequency point of the imaging parameters of the ultrasound image of the kidney section is at HRes, and the frame correlation is 3.

[0217] In some cases, even with the same examination mode, the same section type, the same detection site, and the same imaging mode, due to each patient having their own unique tissue structure, the ultrasound images of the same detection site under the same section type will also be different. Therefore, it may also be necessary to adjust the imaging parameters for the second-mode images of different patients in order to obtain high-quality ultrasound images.

[0218] Therefore, in some embodiments, when the examination mode, the imaging mode of the second-mode imaging, and the section type of the second-mode image remain unchanged: when the image content of the second-mode image changes, the processor 30 updates the second imaging mode parameters based on the changed image content.

[0219] In other embodiments, when the examination mode, the imaging mode of the second-mode imaging, the section type of the second-mode image, and the detection site of the second-mode image remain unchanged: when the image content of the second-mode image changes, the processor 30 updates the second imaging mode parameters based on the changed image content.

[0220] In some embodiments, the processor 30 updates the second-mode parameters at least based on the real-time image content of the second-mode image; in some specific embodiments, the processor 30 calculates the second feature quantity based on the real-time image content of the second-mode image and updates the second-mode parameters at least based on the second feature quantity.

[0221] In some embodiments, the second feature quantity corresponding to the B mode may be the contrast of the image, the gray histogram of the image, the position of the brighter region in the image, the position of the darker region in the image, etc. Among them, pixel points with a gray value greater than the second threshold can be considered as brighter pixel points, and pixel points with a gray value less than the second threshold can be considered as darker pixel points.

[0222] In some embodiments, the second feature quantity corresponding to the C mode may be the blood flow velocity.

[0223] In some embodiments, the second feature quantity corresponding to the PW mode may be the instantaneous blood flow spectrum.

[0224] In some embodiments, the first imaging mode and the second imaging mode are different. For example, the first imaging mode is the B mode and the second imaging mode is the C mode, or vice versa; for another example, the first imaging mode is the B mode, the second imaging mode is the PW mode, or vice versa; for still another example, the first imaging mode is the B mode, the second imaging mode is the C mode, and the third imaging mode is the PW mode. The processor 30 performs third-mode imaging based on the third-mode parameters to obtain a third-mode image of the ultrasound, and the processor 30 updates the third-mode imaging parameters in real time based on the third optimization rule to optimize the third-mode image in real time. The third optimization rule may refer to the first or second optimization rule, which will not be elaborated herein.

[0225] In some embodiments, the display 40 superimposes and displays the first-mode image and the second-mode image.

[0226] A process may be as follows: The processor 30 controls to enter the multiplex imaging mode. In the multiplex imaging mode:

[0227] The processor 30 performs first-mode imaging based on at least the first-mode parameters to obtain a first-mode image of the ultrasound, and performs second-mode imaging based on the second-mode parameters to obtain a second-mode image of the ultrasound; the first-mode imaging is different from the second-mode imaging;

[0228] The processor 30 updates the first imaging mode parameters in real time based on the first optimization rule to optimize the first mode image in real time, and updates the second imaging mode parameters in real time based on the second optimization rule to optimize the second mode image in real time;

[0229] The display 40 composites the first-mode image and the second-mode image to obtain an ultrasound image corresponding to the multiplex mode. For example, the display 40 superimposes and displays the first-mode image and the second-mode image to obtain an ultrasound image corresponding to the multiplex mode.

[0230] When optimizing the ultrasound image corresponding to the multiplex mode, the processor 30 optimizes the mode images corresponding to each simplex mode separately. For example, the processor 30 updates the first imaging mode parameters in real time based on the first optimization rule to optimize the first mode image in real time, and updates the second imaging mode parameters in real time based on the second optimization rule to optimize the second mode image in real time.

[0231] In some embodiments, the second optimization rule includes: updating the second-mode parameters based at least on the real-time image content of the first-mode image.

[0232] In some embodiments, the second optimization rule includes: updating the second-mode parameters based at least on the updated first-mode parameters.

[0233] In some scenarios, by optimizing the second-mode image based on the first-mode image, the optimized different-mode images can be more coordinated and matched with each other, especially for the case where different-mode images need to be combined into a multiplex-mode ultrasound image.

[0234] In some scenarios, it is possible that the first-mode image is easier to optimize. Thus, by optimizing the second-mode image based on the first-mode image, a better optimization effect of the second-mode image can be achieved.

[0235] In some embodiments, the ultrasound imaging system 100 may have a multiplex real-time optimization key 01 for the multiplex imaging mode. The multiplex real-time optimization key 01 is used to generate a multiplex real-time optimization instruction. The multiplex real-time optimization key 01 may be a physical button or an interactive control on the interface. For example Figure 3 As an example, Figure 3 For the multiplex imaging mode of B-mode and C-mode, there is a virtual key of the multiplex real-time optimization key 01 in the lower right corner of the interface.

[0236] In some embodiments, in the multiplex imaging mode: The processor 30 performs first-mode imaging based on at least the first-mode parameters to obtain a first-mode image of ultrasound, and performs second-mode imaging based on the second-mode parameters to obtain a second-mode image of ultrasound; the first-mode imaging is different from the second-mode imaging. In response to the multiplex real-time optimization instruction, the processor 30 activates the multiplex real-time optimization function. Under the multiplex real-time optimization function: The processor 30 updates the first-mode parameters in real time to optimize the first-mode image in real time, and updates the second-mode parameters in real time to optimize the second-mode image in real time.

[0237] Regarding how the processor 30 updates the first-mode parameters in real time to optimize the first-mode image in real time, reference can be made to the first optimization rule above, which will not be elaborated here. Similarly, regarding how the processor 30 updates the second-mode parameters in real time to optimize the second-mode image in real time, reference can be made to the second optimization rule above, which will not be elaborated here.

[0238] Some embodiments of the present application also disclose an optimization method for ultrasound images. In some embodiments, the optimization method for ultrasound images can be applied to the ultrasound imaging system 100 in some embodiments herein.

[0239] Please refer to Figure 4 , the optimization method for ultrasound images in some embodiments includes the following steps:

[0240] Step 110: Perform first-mode imaging based on the first-mode parameters to obtain a first-mode image of ultrasound.

[0241] Step 120: Update the first imaging mode parameters in real time based on the first optimization rule to optimize the first-mode image in real time.

[0242] Step 130: Display the first mode image.

[0243] In some embodiments, the first optimization rule includes: updating the first mode parameter at least based on the real-time image content of the first mode image. For example, performing recognition based on the real-time image content of the first mode image to obtain a recognition result, and updating the first mode parameter at least based on the recognition result; wherein the recognition result includes at least one of the current inspection mode, the imaging mode of the first mode imaging, the section type of the first mode image, and the detection part of the first mode image.

[0244] In some embodiments, the first optimization rule includes: real-time updating the first imaging mode parameter based on at least one of the current inspection mode, the imaging mode of the first mode imaging, the section type of the first mode image, the detection part of the first mode image, and the image content of the first mode image.

[0245] For the above-mentioned inspection mode, section type, detection part, imaging mode, etc., reference can be made to the above description, and details will not be elaborated here.

[0246] In some embodiments, the imaging mode of the first mode imaging is any one of B mode, C mode, M mode, PW mode, and CW mode.

[0247] The inspection mode, section type, detection part, imaging mode, etc. can be selected / specified / set by user input, or obtained based on recognition of the first mode image.

[0248] The first mode parameter is the imaging parameter used for the first mode imaging to obtain the first mode image of the ultrasound. It can be understood that both the signal processing parameter between transmitting the ultrasonic wave and receiving the ultrasonic echo data and the image processing parameter in the ultrasonic imaging process will affect the ultrasonic imaging. Therefore, the first mode parameter can include one or more of the transmitting parameter, receiving parameter, signal processing parameter, and image processing parameter.

[0249] In some embodiments, the transmitting parameter includes amplitude, frequency, number of wave transmissions, transmission interval, transmission angle, waveform, and / or focusing position, etc.

[0250] In some embodiments, the receiving parameter includes receiving angle and / or depth, etc.

[0251] In some embodiments, the signal processing parameter includes beamforming algorithm, etc.

[0252] In some embodiments, different imaging modes are associated with different imaging parameters.

[0253] In some embodiments, the first mode parameters corresponding to the B mode include at least one of: gain, depth, dynamic range, gray scale map, frame correlation, smoothing, scan density.

[0254] In some embodiments, the first mode parameters corresponding to the C mode include at least one of: frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, color priority.

[0255] In some embodiments, the first mode parameters corresponding to the PW mode include at least one of: frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sample volume, scan density.

[0256] In some embodiments, the first mode parameters corresponding to the M mode include at least one of: gain, dynamic range.

[0257] Therefore, in some embodiments, when the examination mode, the imaging mode of the first mode imaging, and the section type of the first mode image remain unchanged: in step 120, when the image content of the first mode image changes, the first imaging mode parameters are updated based on the changed image content.

[0258] In other embodiments, when the examination mode, the imaging mode of the first mode imaging, the section type of the first mode image, and the detection site of the first mode image remain unchanged: in step 120, when the image content of the first mode image changes, the first imaging mode parameters are updated based on the changed image content.

[0259] In some embodiments, step 120 updates the first mode parameters at least based on the real-time image content of the first mode image; in some specific embodiments, step 120 calculates a first feature quantity based on the real-time image content of the first mode image, and updates the first mode parameters at least based on the first feature quantity. The first feature quantity can be referred to the above description and will not be elaborated here.

[0260] Please refer to Figure 5 , the optimization method of the ultrasonic image in some embodiments includes the following steps:

[0261] Step 210: Perform first mode imaging based on the first mode parameters to obtain the first mode image of the ultrasound.

[0262] Step 212: Perform second mode imaging based on the second mode parameters to obtain the second mode image of the ultrasound.

[0263] Step 220: Real-time update the first imaging mode parameters based on the first optimization rule to optimize the first mode image in real time.

[0264] The description of step 220 can be referred to the above description of the first optimization rule or step 120 and will not be elaborated here.

[0265] Step 222: Update the second imaging mode parameters in real time based on the second optimization rule to optimize the second mode image in real time.

[0266] Step 230: Display the first mode image and the first mode image. For example, step 230 composites the first mode image and the second mode image to obtain an ultrasonic image corresponding to the multiplexing mode. For example, step 230 superimposes and displays the first mode image and the second mode image to obtain an ultrasonic image corresponding to the multiplexing mode.

[0267] In some embodiments, the second optimization rule includes: updating the second mode parameters at least based on the real-time image content of the second mode image. For example, recognition is performed based on the real-time image content of the second mode image to obtain a recognition result, and the second mode parameters are updated at least based on the recognition result; wherein, the recognition result includes at least one of the current examination mode, the imaging mode of the second mode imaging, the section type of the second mode image, and the detection site of the second mode image.

[0268] In some embodiments, the second optimization rule includes: updating the second imaging mode parameters in real time based on at least one of the current examination mode, the imaging mode of the second mode imaging, the section type of the second mode image, the detection site of the second mode image, and the image content of the second mode image.

[0269] Regarding the above-mentioned examination mode, section type, detection site, imaging mode, etc., reference can be made to the above description and will not be elaborated here.

[0270] In some embodiments, the imaging mode of the second mode imaging is any one of B mode, C mode, M mode, PW mode, and CW mode.

[0271] The examination mode, section type, detection site, imaging mode, etc. can be selected / specified / set by user input, or can be obtained by recognizing the second mode image.

[0272] The second mode parameters are imaging parameters used for the second mode imaging to obtain the second mode image of the ultrasound. It can be understood that the signal processing parameters between transmitting ultrasonic waves and receiving ultrasonic echo data and the image processing parameters in the ultrasonic imaging process will all affect the ultrasonic imaging. Therefore, the second mode parameters can include one or more of transmitting parameters, receiving parameters, signal processing parameters, and image processing parameters.

[0273] In some embodiments, the transmitting parameters include amplitude, frequency, number of wave transmissions, transmission interval, transmission angle, waveform, and / or focusing position, etc.

[0274] In some embodiments, the receiving parameters include receiving angle and / or depth, etc.

[0275] In some embodiments, the signal processing parameters include beamforming algorithms and the like.

[0276] In some embodiments, different imaging parameters are associated with different imaging modes.

[0277] In some embodiments, the second mode parameters corresponding to the B mode include at least one of: gain, depth, dynamic range, grayscale map, frame correlation, smoothing, scan density.

[0278] In some embodiments, the second mode parameters corresponding to the C mode include at least one of: frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, color priority.

[0279] In some embodiments, the second mode parameters corresponding to the PW mode include at least one of: frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sampling volume, scan density.

[0280] In some embodiments, the second mode parameters corresponding to the M mode include at least one of: gain, dynamic range.

[0281] Therefore, in some embodiments, when the examination mode, the imaging mode of the second mode imaging, and the section type of the second mode image remain unchanged: in step 222, when the image content of the second mode image changes, the second imaging mode parameters are updated based on the changed image content.

[0282] In other embodiments, when the examination mode, the imaging mode of the second mode imaging, the section type of the second mode image, and the detection site of the second mode image remain unchanged: in step 222, when the image content of the second mode image changes, the second imaging mode parameters are updated based on the changed image content.

[0283] In some embodiments, step 222 updates the second mode parameters at least based on the real-time image content of the second mode image; in some specific embodiments, step 222 calculates a second feature quantity based on the real-time image content of the second mode image, and updates the second mode parameters at least based on the second feature quantity. The second feature quantity can be referred to the description above and will not be elaborated here.

[0284] In some embodiments, the second optimization rule includes: updating the second mode parameters at least based on the real-time image content of the first mode image.

[0285] In some embodiments, the second optimization rule includes: updating the second mode parameters at least based on the updated first mode parameters.

[0286] In some scenarios, by optimizing the second-mode image based on the first-mode image, the optimized different-mode images can be more coordinated and matched with each other, especially in the case where different-mode images need to be combined into a multiplex-mode ultrasonic image.

[0287] In some scenarios, it is possible that the first-mode image is easier to optimize. Thus, by optimizing the second-mode image based on the first-mode image, a better optimization effect of the second-mode image can be achieved.

[0288] Please refer to Figure 6 , the optimization method of the ultrasonic image in some embodiments further includes step 200: entering the multiplex imaging mode. Steps 210 and 212 etc. are performed in the multiplex imaging mode. In some embodiments, the first imaging mode and the second imaging mode are different. For example, the first imaging mode is the B mode and the second imaging mode is the C mode, or vice versa; for another example, the first imaging mode is the B mode, the second imaging mode is the PW mode, or vice versa.

[0289] This document is described with reference to various exemplary embodiments. However, those skilled in the art will recognize that changes and modifications can be made to the exemplary embodiments without departing from the scope of this document. For example, various operation steps and the components for performing the operation steps can be implemented in different ways according to a specific application or considering any number of cost functions associated with the operation of the system (e.g., one or more steps can be deleted, modified, or combined into other steps).

[0290] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. Additionally, as understood by those skilled in the art, the principles herein can be reflected in a computer program product on a computer-readable storage medium that is preloaded with computer-readable program code. Any tangible, non-transitory computer-readable storage medium can be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROMs, DVDs, Blu-ray discs, etc.), flash memories, and / or the like. These computer program instructions can be loaded onto a general-purpose computer, a special-purpose computer, or other programmable data processing devices to form a machine, such that the instructions executed on the computer or other programmable data processing devices can generate a device for implementing the specified functions. These computer program instructions can also be stored in a computer-readable memory, which can direct the computer or other programmable data processing devices to operate in a specific manner, so that the instructions stored in the computer-readable memory can form a manufactured article, including an implementation device for implementing the specified functions. The computer program instructions can also be loaded onto a computer or other programmable data processing devices, thereby performing a series of operation steps on the computer or other programmable devices to generate a computer-implemented process, such that the instructions executed on the computer or other programmable devices can provide steps for implementing the specified functions.

[0291] Although the principles herein have been shown in various embodiments, many modifications of the structures, arrangements, proportions, elements, materials, and components that are particularly applicable to specific environments and operational requirements can be used without departing from the principles and scope of this disclosure. The above modifications and other changes or revisions will be included within the scope of this disclosure.

[0292] The foregoing detailed description has been described with reference to various embodiments. However, those skilled in the art will recognize that various modifications and changes can be made without departing from the scope of this disclosure. Therefore, the consideration of this disclosure will be in an illustrative rather than a limiting sense, and all such modifications will be included within its scope. Similarly, the advantages, other advantages, and solutions to problems of the various embodiments have been described above. However, the benefits, advantages, solutions to problems, and any elements that can produce these, or solutions that make them more explicit, should not be construed as critical, essential, or necessary. The term "comprising" and any other variants used herein are non-exclusive inclusions, such that a process, method, article, or device that includes a list of elements not only includes these elements but also other elements not explicitly listed or that do not belong to the process, method, system, article, or device. Additionally, the term "coupled" and any other variants used herein refer to physical connection, electrical connection, magnetic connection, optical connection, communication connection, functional connection, and / or any other connection.

[0293] Those skilled in the art will recognize that many changes can be made to the details of the above embodiments without departing from the basic principles of the present invention. Therefore, the scope of the present invention should be determined solely by the claims.

Claims

1. An ultrasonic imaging system, characterized in that, Comprising: An ultrasonic probe for emitting ultrasonic waves to a target object and receiving echo signals of the ultrasonic waves; A transmitting and receiving control circuit for controlling the ultrasonic probe to perform transmission of ultrasonic waves and reception of echo signals of the ultrasonic waves; A multiplex real-time optimization key for a multiplex imaging mode, for generating a multiplex real-time optimization instruction; A processor and a display; wherein: In the multiplex imaging mode: the processor performs first-mode imaging based on at least first-mode parameters to obtain a first-mode ultrasonic image, and performs second-mode imaging based on second-mode parameters to obtain a second-mode ultrasonic image; the first-mode imaging is different from the second-mode imaging; In response to the multiplex real-time optimization instruction, the processor activates the multiplex real-time optimization function, and in the multiplex real-time optimization function: the processor updates the first-mode parameters in real time to optimize the first-mode image in real time, and updates the second-mode parameters in real time to optimize the second-mode image in real time. The display is used for displaying the first-mode image and the second-mode image.

2. The ultrasonic imaging system according to claim 1, characterized in that, The processor updates the first-mode parameters in real time to optimize the first-mode image, including: updating the first-mode parameters based at least on the real-time image content of the first-mode image.

3. The ultrasonic imaging system according to claim 2, characterized in that, The processor updates the first-mode parameters based at least on the real-time image content of the first-mode image, including: Performing recognition based on the real-time image content of the first-mode image to obtain a recognition result, the recognition result including at least one of a current examination mode, an imaging mode of the first-mode imaging, a section type of the first-mode image, and a detection part of the first-mode image; Updating the first-mode parameters based at least on the recognition result.

4. The ultrasonic imaging system according to claim 1, characterized in that, The processor updates the first-mode parameters in real time to optimize the first-mode image, including: Based on at least one of the current examination mode, the imaging mode of the first-mode imaging, the section type of the first-mode image, the detection part of the first-mode image, and the image content of the first-mode image, updating the first imaging mode parameters in real time.

5. The ultrasonic imaging system according to claim 4, wherein The processor recognizes the imaging mode of the first-mode imaging based on the first-mode image, or the processor determines the imaging mode of the first-mode imaging based on a received user input of a first imaging mode; And / or, The processor recognizes the section type of the first-mode image based on the first-mode image, or the processor determines the section type of the first-mode image based on a received user input of a first section type; And / or, The processor recognizes the detection part of the first-mode image based on the first-mode image.

6. The ultrasonic imaging system according to any one of claims 1 to 5, characterized in that, When the examination mode, the imaging mode of the first-mode imaging, and the section type of the first-mode image remain unchanged: when the image content of the first-mode image changes, the processor updates the first imaging mode parameters based on the changed image content; Or, When the inspection mode, the imaging mode of the first-mode imaging, the section type of the first-mode image, and the detected part of the first-mode image remain unchanged: when the image content of the first-mode image changes, the processor updates the first imaging mode parameters based on the changed image content.

7. The ultrasonic imaging system according to claim 2 or 6, characterized in that, The processor updates the first mode parameters at least based on the real-time image content of the first-mode image, including: calculating a first feature quantity based on the real-time image content of the first-mode image, and updating the first mode parameters at least based on the first feature quantity.

8. The ultrasonic imaging system according to any one of claims 1 to 7, characterized in that, The processor updates the second mode parameters in real time to optimize the second-mode image in real time, including: updating the second mode parameters at least based on the real-time image content of the first-mode image; or updating the second mode parameters at least based on the updated first mode parameters.

9. The ultrasonic imaging system according to claim 8, wherein The display superimposes and displays the first-mode image and the second-mode image.

10. The ultrasonic imaging system according to any one of claims 1 to 7, characterized in that, The processor updates the second mode parameters in real time to optimize the second-mode image in real time, including: updating the second mode parameters at least based on the real-time image content of the second-mode image.

11. The ultrasonic imaging system according to claim 10, characterized in that, The processor updates the second mode parameters at least based on the real-time image content of the second-mode image, including: performing recognition based on the real-time image content of the second-mode image to obtain a recognition result, where the recognition result includes at least one of the current inspection mode, the imaging mode of the second-mode imaging, the section type of the second-mode image, and the detected part of the second-mode image; updating the second mode parameters at least based on the recognition result.

12. The ultrasonic imaging system according to claim 1, wherein, The processor updates the second mode parameters in real time to optimize the second-mode image in real time, including: real-time updating of the second imaging mode parameters based on at least one of the current inspection mode, the imaging mode of the second-mode imaging, the section type of the second-mode image, the detected part of the second-mode image, and the image content of the second-mode image.

13. The ultrasonic imaging system according to any one of claims 10 to 12, characterized in that, When the inspection mode, the imaging mode of the second-mode imaging, and the section type of the second-mode image remain unchanged: when the image content of the second-mode image changes, the processor updates the second imaging mode parameters based on the changed image content. Or, When the inspection mode, the imaging mode of the second-mode imaging, the section type of the second-mode image, and the detected part of the second-mode image remain unchanged: when the image content of the second-mode image changes, the processor updates the second imaging mode parameters based on the changed image content.

14. The ultrasonic imaging system according to any one of claims 10 to 13, characterized in that, The processor updates the second mode parameters at least based on the real-time image content of the second-mode image, including: calculating a second feature quantity based on the real-time image content of the second-mode image, and updating the second mode parameters at least based on the second feature quantity.

15. The ultrasonic imaging system according to claim 1, wherein The imaging mode of the first-mode imaging is any one of B mode, C mode, M mode, PW mode, and CW mode; Preferably, the first mode parameters corresponding to the B mode include at least one of gain, depth, dynamic range, grayscale map, frame correlation, smoothing, and scan density; and / or, the first mode parameters corresponding to the C mode include at least one of frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, and color priority; and / or, the first mode parameters corresponding to the PW mode include at least one of frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sampling volume, and scan density; and / or, the first mode parameters corresponding to the M mode include at least one of gain and dynamic range.

16. The ultrasonic imaging system according to claim 1, wherein, The imaging mode of the second mode imaging is any one of B mode, C mode, M mode, PW mode, and CW mode; Preferably, the second mode parameters corresponding to the B mode include at least one of gain, depth, dynamic range, grayscale map, frame correlation, smoothing, and scan density; and / or, the second mode parameters corresponding to the C mode include at least one of frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, and color priority; and / or, the second mode parameters corresponding to the PW mode include at least one of frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sampling volume, and scan density; and / or, the second mode parameters corresponding to the M mode include at least one of gain and dynamic range.

17. An ultrasonic imaging system, characterized in that, Comprising: An ultrasonic probe for transmitting ultrasonic waves to a target object and receiving echo signals of the ultrasonic waves; A transmitting and receiving control circuit for controlling the ultrasonic probe to perform transmission of ultrasonic waves and reception of echo signals of the ultrasonic waves; A processor and a display; wherein, the processor is configured to control entry into a multiplex imaging mode, and in the multiplex imaging mode: The processor performs first mode imaging based on at least first mode parameters to obtain a first mode image of ultrasound, and performs second mode imaging based on second mode parameters to obtain a second mode image of ultrasound; the first mode imaging is different from the second mode imaging; The processor updates the first imaging mode parameters in real time based on a first optimization rule to optimize the first mode image in real time, and updates the second imaging mode parameters in real time based on a second optimization rule to optimize the second mode image in real time; The display is configured to display the first mode image and the second mode image.

18. An ultrasonic imaging system, characterized in that, Comprising: An ultrasonic probe for transmitting ultrasonic waves to a target object and receiving echo signals of the ultrasonic waves; A transmitting and receiving control circuit for controlling the ultrasonic probe to perform transmission of ultrasonic waves and reception of echo signals of the ultrasonic waves; A processor for performing first mode imaging based on first mode parameters to obtain a first mode image of ultrasound; The processor updates the first imaging mode parameters in real time based on a first optimization rule to optimize the first mode image in real time; A display for displaying the first mode image.

19. The ultrasonic imaging system according to claim 17 or 18, characterized in that, The first optimization rule includes: updating the first mode parameter based at least on the real-time image content of the first mode image.

20. The ultrasonic imaging system according to claim 19, characterized in that, The processor updates the first mode parameter based at least on the real-time image content of the first mode image, including: Performing recognition based on the real-time image content of the first mode image to obtain a recognition result, where the recognition result includes at least one of the current inspection mode, the imaging mode of the first mode imaging, the section type of the first mode image, and the detection part of the first mode image; Updating the first mode parameter based at least on the recognition result.

21. The ultrasonic imaging system according to claim 17 or 18, characterized in that, The first optimization rule includes: updating the first imaging mode parameter in real time based on at least one of the current inspection mode, the imaging mode of the first mode imaging, the section type of the first mode image, the detection part of the first mode image, and the image content of the first mode image.

22. The ultrasonic imaging system according to claim 21, wherein, The processor recognizes the imaging mode of the first mode imaging based on the first mode image, or the processor determines the imaging mode of the first mode imaging based on the first imaging mode input by the user; and / or The processor recognizes the section type of the first mode image based on the first mode image, or the processor determines the section type of the first mode image based on the first section type input by the user; and / or The processor recognizes the detection part of the first mode image based on the first mode image.

23. The ultrasonic imaging system according to any one of claims 17 to 22, characterized in that, The first optimization rule includes: When the inspection mode, the imaging mode of the first mode imaging, and the section type of the first mode image remain unchanged: when the image content of the first mode image changes, the processor updates the first imaging mode parameter based on the changed image content; or When the inspection mode, the imaging mode of the first mode imaging, the section type of the first mode image, and the detection part of the first mode image remain unchanged: when the image content of the first mode image changes, the processor updates the first imaging mode parameter based on the changed image content.

24. The ultrasonic imaging system according to claim 19 or 23, characterized in that, The processor updates the first mode parameter based at least on the real-time image content of the first mode image, including: calculating a first feature quantity based on the real-time image content of the first mode image, and updating the first mode parameter based at least on the first feature quantity.

25. The ultrasonic imaging system according to claim 17, characterized in that, The second optimization rule includes: updating the second mode parameter based at least on the real-time image content of the first mode image; or updating the second mode parameter based at least on the updated first mode parameter.

26. The ultrasonic imaging system according to claim 25, wherein The display superimposes and displays the first mode image and the second mode image.

27. The ultrasonic imaging system according to claim 17, wherein, The second optimization rule includes: updating the second mode parameter based at least on the real-time image content of the second mode image.

28. The ultrasonic imaging system according to claim 27, wherein, The processor updates the second mode parameter based at least on the real-time image content of the second mode image, including: Performing recognition on the real-time image content of the second-mode image to obtain a recognition result, where the recognition result includes at least one of the current examination mode, the imaging mode of the second-mode imaging, the section type of the second-mode image, and the detection site of the second-mode image; Updating the second-mode parameters based at least on the recognition result.

29. The ultrasonic imaging system according to claim 17, wherein The second optimization rule includes: updating the second imaging-mode parameters in real time based on at least one of the current examination mode, the imaging mode of the second-mode imaging, the section type of the second-mode image, the detection site of the second-mode image, and the image content of the second-mode image.

30. The ultrasonic imaging system according to claim 17, wherein, When the examination mode, the imaging mode of the second-mode imaging, and the section type of the second-mode image remain unchanged: when the image content of the second-mode image changes, the processor updates the second imaging-mode parameters based on the changed image content; Or, When the examination mode, the imaging mode of the second-mode imaging, the section type of the second-mode image, and the detection site of the second-mode image remain unchanged: when the image content of the second-mode image changes, the processor updates the second imaging-mode parameters based on the changed image content.

31. The ultrasonic imaging system according to any one of claims 27 to 30, characterized in that, The processor updates the second-mode parameters based at least on the real-time image content of the second-mode image, including: calculating a second feature quantity based on the real-time image content of the second-mode image, and updating the second-mode parameters based at least on the second feature quantity.

32. The ultrasonic imaging system according to claim 17 or 18, characterized in that, The imaging mode of the first-mode imaging is any one of B mode, C mode, M mode, PW mode, and CW mode; Preferably, the first-mode parameters corresponding to the B mode include at least one of gain, depth, dynamic range, gray-scale map, frame correlation, smoothing, scan density; and / or, the first-mode parameters corresponding to the C mode include at least one of frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, color priority; and / or, the first-mode parameters corresponding to the PW mode include at least one of frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sampling volume, scan density; and / or, the first-mode parameters corresponding to the M mode include at least one of gain, dynamic range.

33. The ultrasonic imaging system according to claim 17, wherein, The imaging mode of the second-mode imaging is any one of B mode, C mode, M mode, PW mode, and CW mode; Preferably, the second mode parameters corresponding to the B mode include at least one of gain, depth, dynamic range, gray scale map, frame correlation, smoothing, and scan density; and / or, the second mode parameters corresponding to the C mode include at least one of frequency point, gain, afterglow, sensitivity, smoothing, color map, wall filter, scale, deflection angle, blood flow state, and color priority; and / or, the second mode parameters corresponding to the PW mode include at least one of frequency point, gain, baseline, deflection angle, wall filter, dynamic range, scale, sampling volume, and scan density; and / or, the second mode parameters corresponding to the M mode include at least one of gain and dynamic range.

34. An optimization method for ultrasonic images, characterized in that, comprising: performing first mode imaging based at least on first mode parameters to obtain a first mode image of ultrasound, and performing second mode imaging based on second mode parameters to obtain a second mode image of ultrasound; the first mode imaging is different from the second mode imaging; real-time updating the first imaging mode parameters based on a first optimization rule to optimize the first mode image in real time, and real-time updating the second imaging mode parameters based on a second optimization rule to optimize the second mode image in real time; displaying the first mode image and the second mode image.

35. The optimization method according to claim 34, wherein The first optimization rule includes: updating the first mode parameters based at least on the real-time image content of the first mode image; and / or, the second optimization rule includes: updating the second mode parameters based at least on the real-time image content of the first mode image; or, updating the second mode parameters based at least on the updated first mode parameters.

36. The optimization method according to claim 34 or 35, characterized in that, The updating the first mode parameters based at least on the real-time image content of the first mode image includes: calculating a second feature quantity based on the real-time image content of the second mode image, and updating the second mode parameters based at least on the second feature quantity.

37. The optimization method according to claim 34, wherein The second optimization rule includes: updating the second mode parameters based at least on the real-time image content of the first mode image; or, updating the second mode parameters based at least on the updated first mode parameters.

Images