CN114903519A

CN114903519A - Ultrasonic imaging method, ultrasonic imaging apparatus, and image display device

Info

Publication number: CN114903519A
Application number: CN202210409389.XA
Authority: CN
Inventors: 欧阳亚丽; 桑茂栋; 朱磊
Original assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd
Current assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd
Priority date: 2022-04-19
Filing date: 2022-04-19
Publication date: 2022-08-16

Abstract

The embodiment of the application discloses ultrasonic imaging method, ultrasonic imaging equipment and image display device, through adopting the different space-time filtering processing method of two kinds of treatment effect, come to handle the organizational structure signal who acquires, with the static tissue radio-frequency signal among the filtration space radio-frequency signal, extract the microbubble radio-frequency signal, obtain two sets of microbubble signals of first microbubble signal and second microbubble signal, and fuse and handle, can make the image of formation of image have the advantage that two kinds of space-time filtering handled concurrently, can improve the accuracy nature to the formation of image of capillary, promote the imaging effect of capillary.

Description

Ultrasonic imaging method, ultrasonic imaging apparatus, and image display device

Technical Field

The embodiment of the application relates to the field of ultrasonic imaging, in particular to an ultrasonic imaging method, ultrasonic imaging equipment and an image display device.

Background

The medical ultrasonic imaging diagnostic equipment can obtain ultrasonic image information of human tissues and organ structures by using the propagation of ultrasonic waves in a human body. Because the ultrasonic diagnosis has the advantages of safety, wide application range, intuition, capability of repeated examination, strong discrimination on soft tissues, strong flexibility, low price and the like, the ultrasonic diagnosis becomes the first choice technology in the current medical image diagnosis and has a very important position in the modern diagnosis technology. The method has important value for early diagnosis and treatment of various diseases by utilizing ultrasonic imaging diagnostic equipment to inspect and observe the micro-vessels and the blood vessel microcirculation, but has limited capability of displaying the details of the micro-vessel structure by clinical routine ultrasonic contrast due to the limit of diffraction limit of ultrasonic waves in a far field.

In order to solve the problem of displaying details of a microvascular structure, the current method is to use the principle of fluorescence microscopic positioning technology in optical super-resolution imaging, an ultrasonic contrast agent is introduced, and an isolated microbubble of the ultrasonic contrast agent is positioned and tracked to obtain an image with the spatial resolution of tens of microns.

Disclosure of Invention

The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

The embodiment of the application provides an ultrasonic imaging method, ultrasonic imaging equipment and an image display device, which can improve the accuracy of imaging on the capillary and improve the imaging effect of the capillary.

In a first aspect, an embodiment of the present application provides an ultrasound imaging method, including:

transmitting a first ultrasonic wave to a target tissue, and receiving an echo of the first ultrasonic wave returned by the target tissue to obtain a first ultrasonic echo signal;

obtaining a tissue structure signal of the target tissue according to the first ultrasonic echo signal, wherein the tissue structure signal comprises a multi-frame space radio frequency signal;

singular value decomposition filtering processing is carried out on the organization structure signal so as to extract microbubble radio frequency signals in the space radio frequency signals of each frame and obtain first microbubble signals;

carrying out time-domain differential filtering processing on the organization structure signal to extract a microbubble radio frequency signal in each frame of the space radio frequency signal to obtain a second microbubble signal;

obtaining target microvascular image data by performing fusion processing on the first microbubble signal and the second microbubble signal;

and displaying a microvascular image according to the target microvascular image data.

In a second aspect, an embodiment of the present application provides an ultrasound imaging method, including:

performing first microbubble signal processing on the tissue structure signal to extract microbubble radio frequency signals in the space radio frequency signals of each frame to obtain first microbubble signals;

performing second microbubble signal processing on the tissue structure signal to extract microbubble radio-frequency signals in the space radio-frequency signals of each frame to obtain second microbubble signals, wherein the first microbubble signal processing and the second microbubble signal processing have different processing effects, the first microbubble signal processing and the second microbubble signal processing are both space-time filtering processing, and the space-time filtering processing is to filter static tissue radio-frequency signals in the space radio-frequency signals according to comparison of data among a plurality of frames of the space radio-frequency signals to extract the microbubble radio-frequency signals from the space radio-frequency signals;

In a third aspect, an embodiment of the present application provides an ultrasound imaging method, including:

performing multiple types of time-space filtering processing on the tissue structure signals, extracting microbubble radio frequency signals to obtain multiple groups of microbubble signals, wherein the time-space filtering processing is to filter static tissue radio frequency signals in the space radio frequency signals according to comparison of data among multiple frames of the space radio frequency signals, extract the microbubble radio frequency signals in the space radio frequency signals and further obtain the microbubble signals;

performing fusion processing on each group of microbubble signals to obtain target microvascular image data;

In a fourth aspect, an embodiment of the present application provides an ultrasound imaging method, including:

acquiring an organization structure signal, wherein the organization structure signal comprises a multiframe space radio frequency signal;

performing second microbubble signal processing on the tissue structure signal to extract microbubble radio-frequency signals in the space radio-frequency signals of each frame to obtain second microbubble signals, wherein the first microbubble signal processing and the second microbubble signal processing have different processing effects, the first microbubble signal processing and the second microbubble signal processing are both space-time filtering processing, and the space-time filtering processing is to filter static tissue radio-frequency signals in the space radio-frequency signals according to comparison of data among a plurality of frames of the space radio-frequency signals and extract the microbubble radio-frequency signals in the space radio-frequency signals;

In a fifth aspect, an embodiment of the present application provides an ultrasound imaging method, including:

In a sixth aspect, an embodiment of the present application provides an ultrasound imaging method, including:

In a seventh aspect, an embodiment of the present application provides an ultrasound imaging apparatus, including:

an ultrasonic probe;

the transmitting/receiving circuit is used for controlling the ultrasonic probe to transmit ultrasonic waves to a target tissue and receive ultrasonic echoes to obtain ultrasonic echo signals;

the processor is used for processing the ultrasonic echo signals to obtain tissue structure signals of the target tissue, processing the tissue structure signals to obtain microbubble signals and obtaining target microvascular image data according to the microbubble signals;

a display for displaying the microvascular image data;

the processor is further configured to perform the ultrasound imaging method of the first, second or third aspect embodiments described above.

In an eighth aspect, an embodiment of the present application provides an image display apparatus, including:

a processor for acquiring and processing a tissue structure signal, wherein the tissue structure signal comprises a plurality of frames of spatial radio frequency signals;

a display for displaying the microvascular image data;

the processor is further configured to perform the ultrasound imaging method of the fourth, fifth or sixth aspect embodiments described above.

The ultrasonic imaging method, the ultrasonic imaging device and the image display device provided by the embodiment of the application process the acquired tissue structure signals by adopting two space-time filtering processing methods with different processing effects, so as to filter static tissue radio-frequency signals in the space radio-frequency signals, extract micro-bubble radio-frequency signals, obtain two sets of micro-bubble signals of first micro-bubble signals and second micro-bubble signals, and perform fusion processing.

Drawings

The accompanying drawings are included to provide a further understanding of the claimed subject matter and are incorporated in and constitute a part of this specification, illustrate embodiments of the subject matter and together with the description serve to explain the principles of the subject matter and not to limit the subject matter.

Fig. 1 is a schematic structural diagram of an ultrasonic imaging apparatus provided in an embodiment of the present application;

FIG. 2 is a flow chart of an ultrasound imaging method provided by an embodiment of the present application;

FIG. 3 is a flow diagram of a singular value decomposition filtering process provided by one embodiment of the present application;

FIG. 4 is a flow chart of method steps included in step S250 of FIG. 2;

FIG. 5 is a flow chart of method steps included in step S430 of FIG. 4;

FIG. 6 is a flow chart of method steps included in step S520 of FIG. 5;

FIG. 7 is a flowchart of method steps included in step S250 of FIG. 2, provided in accordance with another embodiment;

FIG. 8 is a flowchart of method steps included in step S250 of FIG. 2 provided in yet another embodiment;

FIG. 9 is a flow chart of an ultrasound imaging method provided by another embodiment of the present application;

FIG. 10 is a flow chart of an ultrasound imaging method provided by yet another embodiment of the present application;

fig. 11 is a schematic structural diagram of an image display device according to an embodiment of the present application;

FIG. 12 is a flow chart of an ultrasound imaging method provided by an embodiment of the present application;

FIG. 13 is a flow chart of an ultrasound imaging method provided in another embodiment of the present application;

FIG. 14 is a flow chart of an ultrasound imaging method provided in accordance with yet another embodiment of the present application;

fig. 15 is a schematic diagram illustrating the comparison of the ultrasonic imaging effect with the SVD filtering imaging effect and the DI processing imaging effect provided by an embodiment of the present application.

Detailed Description

The present application is further described with reference to the following figures and specific examples. The described embodiments should not be considered as limiting the present application, and all other embodiments obtained by a person skilled in the art without making any inventive step are within the scope of protection of the present application.

In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the application.

In order to solve the problem of displaying details of a microvascular structure, the current method uses the principle of fluorescence microscopic positioning technology in optical super-resolution imaging for reference, an ultrasonic contrast agent is introduced, and an isolated microbubble of the ultrasonic contrast agent is positioned and tracked to obtain an image with the spatial resolution of tens of microns.

Based on the method, the ultrasonic imaging device and the image processing device of the image display device, the accuracy of imaging on the microvessels can be improved, and the imaging effect of the microvessels is improved.

Fig. 1 is a schematic structural diagram of an ultrasonic imaging apparatus. Wherein the ultrasound imaging apparatus 100 includes an ultrasound probe 110, a transmission/reception circuit 120, a processor 130, and a display 140; the transmitting/receiving circuit 120 is configured to control the ultrasound probe 110 to transmit an ultrasound wave to a target tissue and receive an ultrasound echo, so as to obtain an ultrasound echo signal; the processor 130 is configured to process the ultrasound echo signal, obtain a tissue structure signal of a target tissue, perform microbubble extraction processing on the tissue structure signal, obtain a microbubble signal, and obtain target microvascular image data according to the microbubble signal; the display 140 is used to display the microvascular image data.

The ultrasonic probe 110 includes a transducer (not shown) composed of a plurality of array elements arranged in an array, the plurality of array elements are arranged in a row to form a linear array, or arranged in a two-dimensional matrix to form an area array, and the plurality of array elements may also form a convex array. The array elements are used for emitting ultrasonic beams according to the excitation electric signals or converting the received ultrasonic beams into electric signals. Each array element can thus be used to perform a mutual transformation of the electrical impulse signal and the ultrasound beam, thus performing an emission of ultrasound waves into target tissue of the body tissue (e.g. heart, lungs, uterus, etc.) and also to receive echoes of the ultrasound waves reflected back through the tissue. The array elements participating in ultrasonic wave transmission can be simultaneously excited by the electric signals, so that the ultrasonic waves are transmitted simultaneously; or the array elements participating in the ultrasonic wave transmission can be excited by a plurality of electric signals with certain time intervals, so that the ultrasonic waves with certain time intervals are continuously transmitted.

The transmit circuitry may generate a transmit sequence under control of the processor 130, the transmit sequence being used to control some or all of the plurality of array elements to transmit ultrasound waves to the target tissue, the transmit sequence parameters including the position of the array elements for transmission, the number of array elements, and ultrasound beam transmit parameters (e.g., amplitude, frequency, number of transmissions, transmit interval, transmit angle, wave pattern, focus position, etc.). In some cases, the transmit circuitry may phase delay the transmitted beams so that different transmit elements transmit ultrasound at different times so that each transmitted ultrasound beam can be focused at a predetermined region of interest.

The receive circuitry may receive the electrical signals of the ultrasound echoes from the ultrasound probe 110 and process the electrical signals of the ultrasound echoes. The receive circuitry may include one or more amplifiers, analog-to-digital converters (ADCs), and the like. The amplifier is used for amplifying the electric signal of the received ultrasonic echo after proper gain compensation, the analog-to-digital converter is used for sampling the analog echo signal according to a preset time interval so as to convert the analog echo signal into a digitized signal, and the digitized echo signal still retains amplitude information, frequency information and phase information.

The image processing module of the processor 130 is configured to process the digitized echo signal data, for example, obtain a tissue structure signal of a target tissue and perform microbubble signal processing on the tissue structure signal to obtain a microbubble signal, and obtain target microvascular image data according to the microbubble signal. The image processing module may output the microvascular image data to the display 140 of the human-computer interaction device for display. The human-computer interaction device is used for performing human-computer interaction, namely receiving input and output visual information of a user; the input of the user can be received by a keyboard, an operating button, a mouse, a track ball and the like, and a touch screen integrated with a display can also be adopted; which outputs visual information using the display 140.

It should be understood that the components included in the ultrasound imaging apparatus 100 shown in fig. 1 are merely illustrative and that more or fewer components may be included. The invention is not limited in this regard. The processor 130 in the ultrasound imaging apparatus 100 shown in fig. 1 is also used to perform the ultrasound imaging method in fig. 2 to 10 below or to perform the ultrasound imaging method in fig. 12 to 14 below.

Referring to fig. 2, fig. 2 is a flow chart illustrating an ultrasound imaging method according to an embodiment of the present application. The ultrasound imaging method may include the steps of:

step S210: the method comprises the steps of transmitting a first ultrasonic wave to target tissue, and receiving an echo of the first ultrasonic wave returned by the target tissue to obtain a first ultrasonic echo signal.

It will be appreciated that before transmitting ultrasound waves to the target tissue, it is necessary to inject an ultrasound contrast agent into the target tissue and then send a transmit pulse of a certain amplitude and polarity to the ultrasound probe 110 via, for example, the transmit/receive circuit 120 in fig. 1, to excite the ultrasound probe 110 to transmit ultrasound waves to the target tissue. After a certain delay, the transmission/reception circuit 120 receives the ultrasonic echo, thereby obtaining an ultrasonic echo signal.

Step S220: and obtaining a tissue structure signal of the target tissue according to the first ultrasonic echo signal, wherein the tissue structure signal comprises a multi-frame space radio frequency signal.

It should be noted that, in this embodiment, the tissue structure signal of the target tissue includes multiple frames of spatial radio frequency signals, so that the subsequent step in this embodiment of the present application is to process the multiple frames of spatial radio frequency signals. It is understood that the first ultrasonic echo signal acquired by the transmitting/receiving circuit 120 should also include multiple sets of signals, so that multiple frames of spatial radio frequency signals can be obtained according to the multiple sets of signals.

Step S230: and carrying out singular value decomposition filtering processing on the tissue structure signal so as to extract the microbubble radio frequency signals in the frame space radio frequency signals to obtain first microbubble signals.

The tissue structure signals are processed by a Singular Value Decomposition (SVD) filtering processing method, namely multi-frame space radio-frequency signals are processed in batch, and microbubble radio-frequency signals in each frame of space radio-frequency signals can be extracted according to Singular values of an image matrix, so that the ultramicro vascular structure of a subsequently imaged image is more complete.

Step S240: and performing time-domain differential filtering processing on the tissue structure signal to extract the microbubble radio-frequency signals in each frame of space radio-frequency signals to obtain second microbubble signals.

The tissue structure signals are processed by adopting a time domain difference filtering processing method, and the difference of the two adjacent frame space radio-frequency signals is utilized to extract the microbubble radio-frequency signals in each frame space radio-frequency signal, so that superior microvessels in an imaged image have better continuity.

Step S250: and obtaining target microvascular image data by performing fusion processing on the first microbubble signal and the second microbubble signal.

Step S260: and displaying the microvascular image according to the target microvascular image data.

In this embodiment, the spatial-temporal filtering processing method with different processing effects, including singular value decomposition filtering processing and time domain differential filtering processing, is used to process the tissue structure signals, so as to filter static tissue radio-frequency signals in the spatial radio-frequency signals, extract the microbubble radio-frequency signals, obtain two sets of microbubble signals, namely, the first microbubble signals and the second microbubble signals, and then perform fusion processing, so that the imaged image has the advantages of both spatial-temporal filtering processing, the accuracy of imaging the microvessels can be improved, and the imaging effect of the microvessels is improved.

In an embodiment of the present application, the time-domain differential filtering process mentioned in step S240 includes the following steps:

and filtering the static organization radio frequency signals according to the difference between one frame of space radio frequency signals and the other frame of space radio frequency signals with the preset distance between the two frames to obtain the microbubble radio frequency signals. Wherein the difference comprises at least one of an amplitude difference, a phase difference or a frequency difference.

It can be understood that the information difference between the two frames of spatial radio frequency signal data may include an amplitude difference, a phase difference, or a frequency difference, one frame of spatial radio frequency signal is differentiated from the other frame, differential data of the two frames of spatial radio frequency signals in the tissue structure signal is calculated, and then one frame of spatial radio frequency signal in the two frames of spatial radio frequency signals may be subjected to region division according to the differential data to determine a dynamic region and a static region of the spatial radio frequency signals, wherein the dynamic region represents the microbubble radio frequency signals, and the static region represents the static tissue radio frequency signals; and finally, filtering the radio frequency signals of the static area to obtain the microbubble radio frequency signals. The Differential Imaging (DI) process is a simple time-domain Differential process, and achieves the purpose of eliminating tissue signals and retaining moving microbubble signals by using the state difference that tissues are relatively static and microbubbles have motion at two adjacent moments. The DI processing method can acquire the signal of the moving microbubble, and can also detect the microbubble signal with the behaviors of blasting, dissolving and the like.

Referring to fig. 3, in an embodiment of the present application, the singular value decomposition filtering process mentioned in step S230 includes the following steps:

step S310: and calculating singular values of the multi-frame space radio frequency signals to obtain a singular value set.

Step S320: and determining a target singular value in the singular value set according to the preset statistical parameters.

Step S330: and extracting target characteristic signals in each space radio frequency signal according to each target singular value to obtain the microbubble radio frequency signal.

Singular Value Decomposition (SVD) filtering is a method for batch processing of multi-frame image data, and the Singular values of the image matrix and the feature space thereof reflect different components and features in the image. From a physical point of view, SVD is equivalent to decomposing a matrix into linear combinations of several sub-signal spaces, where singular values are the energy magnitudes corresponding to the respective sub-signal spaces. In the data not extracted for microvesicles, there are three main components: tissue signals, microbubble signals, and noise signals. Wherein, the energy of the tissue signal is strongest and corresponds to a larger singular value; the second order of the microbubble signal, corresponding to the intermediate magnitude singular value; the noise signal is weakest, corresponding to smaller singular values. Therefore, singular values corresponding to the microbubble signals are determined by using preset statistical parameters, and then the microbubble radio-frequency signals are obtained through the singular values and the corresponding eigenvectors.

In one embodiment of the present application, step S320 in fig. 3 includes the following steps:

and comparing each singular value in the singular value set with a preset threshold range, and determining the singular value falling into the threshold range as a target singular value.

In this embodiment, assuming that the frame number of the spatial rf signal is P, singular values obtained after SVD filtering of the spatial rf signal of P frames are respectively recorded as λ ₁ ,λ ₂ ,...,λ _P The P singular values are sorted in descending order. The preset statistical parameters comprise a signal threshold value a and a noise threshold value b, wherein the signal threshold value a is larger than the noise threshold value b. When the singular value is greater than or equal to the signal threshold a, it is considered as the corresponding odd of the tissue signalAbnormal values, should be discarded; when the singular value is less than or equal to the noise threshold b, the singular value is considered as the singular value corresponding to the noise signal and should be abandoned; when the singular value is larger than the noise threshold b and smaller than the signal threshold a, the singular value is regarded as the singular value corresponding to the microbubble signal and is reserved; that is, the preset threshold ranges are (signal threshold a, noise threshold b). At this time, the target singular value which is determined according to the preset threshold range and needs to be reserved is recorded as

And respectively recording a left singular vector and a right singular vector corresponding to the target singular value as

Wherein R is the number of target singular values and R is less than P. Then the target characteristic signals extracted according to each target singular value are respectively

The resulting microbubble RF signal is

Where H is the transposed symbol.

In another embodiment of the present application, step S320 in fig. 3 includes the following steps:

and sorting the singular values in the singular value set according to the sizes, and acquiring the singular values of the middle part of a preset number in a sorting sequence as target singular values.

It can be understood that, different from the method for determining the target singular value by comparing each singular value with the preset threshold range in the above embodiment, in this embodiment, the singular values are sorted according to size, and then a preset number of singular values are selected from the middle portion as the target singular value, so that the problem of insufficient accuracy caused by inappropriate selection of the preset threshold range can be avoided. It is to be understood that the above two ways of determining the target singular value have different emphasis points, and those skilled in the art can arbitrarily select one of them according to actual situations in practical applications.

Referring to fig. 4, in an embodiment of the present application, step S250 in fig. 2 includes the following steps:

step S410: and carrying out microbubble positioning processing on the multiframe microbubble radio frequency signals in the first microbubble signals to obtain multiframe first microbubble positioning data.

Step S420: and carrying out microbubble positioning processing on the multiframe microbubble radio frequency signals in the second microbubble signals to obtain multiframe second microbubble positioning data.

Step S430: and carrying out fusion processing on the multi-frame first microbubble positioning data and the multi-frame second microbubble positioning data to obtain target microvascular image data.

The microbubble positioning processing is to determine the positioning of the microbubbles in the space according to the distribution condition of the microbubble radio-frequency signals in the space so as to obtain microbubble positioning data corresponding to the microbubble radio-frequency signals.

It can be understood that, in this embodiment, the first microbubble signal and the second microbubble signal are respectively subjected to microbubble positioning processing and then fusion processing, so that the obtained target microvascular image data has the advantages of two types of space-time filtering processing, the accuracy of microvascular imaging can be improved, and the imaging effect of the microvascular is improved. The microbubble positioning processing can use the processing method existing in the prior art, and the detailed description is omitted here.

Referring to fig. 5, in an embodiment of the present application, step S430 in fig. 4 includes the following steps:

step S510: and determining the microvascular grade distribution data according to the first microbubble positioning data of each frame and the second microbubble positioning data of each frame corresponding to the frame sequence.

Specifically, step S510 includes: and determining the microvascular grade according to the first microbubble positioning data of each frame and the second microbubble positioning data of each frame corresponding to the frame sequence, thereby obtaining multi-frame microvascular grade distribution data.

Step S520: and carrying out image processing on the microvascular grade distribution data to obtain target microvascular image data.

Specifically, referring to fig. 6, step S520 in fig. 5 includes the steps of:

step S610: and respectively determining display parameters corresponding to the microvessel grade distribution data of each frame to obtain multi-frame spatial display distribution data.

Step S620: and obtaining target microvascular image data according to the multi-frame spatial display distribution data.

It is understood that each frame of spatial display distribution data includes display parameters corresponding to each frame of microvascular hierarchical distribution data. Therefore, multi-frame tracking accumulation can be carried out on the multi-frame spatial display distribution data, and the target microvascular image data can be obtained.

Specifically, in an embodiment, the first microbubble location data and the second microbubble location data are binarized matrix data;

when the value of the target element in the first microbubble positioning data is a first data value, and the value of the element corresponding to the target element in the second microbubble positioning data is the first data value, the level of the capillary is a first-level capillary;

when the value of the target element in the first microbubble positioning data is a second data value, and the value of the element corresponding to the target element in the second microbubble positioning data is a first data value, the level of the microvessels is a second-level microvessel;

when the value of the target element in the first microbubble positioning data is a first data value, and the value of the element corresponding to the target element in the second microbubble positioning data is a second data value, the microvascular grade is a third-level microvascular;

when the value of the target element in the first microbubble positioning data is a second data value, and the value of the element corresponding to the target element in the second microbubble positioning data is a second data value, the microvascular grade is no microvascular;

the first data value represents that the space position corresponding to the target element in the space radio-frequency signal has the microbubble radio-frequency signal, the second data value represents that the space position corresponding to the target element in the space radio-frequency signal does not have the microbubble radio-frequency signal, and the diameter of the blood vessel represented by the second-level micro-blood vessel is larger than that of the blood vessel represented by the third-level micro-blood vessel and smaller than that of the blood vessel represented by the first-level micro-blood vessel.

In this embodiment, the corresponding binarization matrix data of the first microbubble positioning data of each frame is denoted as Location _1, the target element in the first microbubble positioning data is denoted as Location _1(h, w), and an exemplary value of the first data value is 1, that is, when Location _1(h, w) is 1, a microbubble radio frequency signal exists at a spatial position of the corresponding target element in the spatial radio frequency signal; the first data value is exemplarily taken to be 0, that is, when Location _1(h, w) is 0, the spatial position of the corresponding target element in the spatial rf signal does not have the microbubble rf signal; similarly, the corresponding binarization matrix data of the second microbubble positioning data of each frame is denoted as Location _2, the target element in the second microbubble positioning data is denoted as Location _2(h, w), an exemplary value of the first data value is 1, and an exemplary value of the first data value is 0; where h represents the image depth of the target element and w represents the image width of the target element.

Fusing the positioning results of the two groups of microbubble positioning data, wherein the fusion processing comprises the following four conditions:

case 1: if Location _1(h, w) is 1 and Location _2(h, w) is 1, and the level of the corresponding capillary is the coarsest level capillary, then the corresponding display parameter Location (h, w) is 1 × Enhance _ 1;

case 2: if the Location _1(h, w) is 1 and the Location _2(h, w) is 1, and the corresponding level of the capillary is a secondary capillary with poor SVD filtering continuity, the corresponding Location (h, w) is 1 Enhance _ 2;

case 3: if Location _1(h, w) is 1 and Location _2(h, w) is 0, and the corresponding microvascular rank is a tertiary microvascular with DI missing, then the corresponding display parameter Location (h, w) is 1 × Enhance _ 3;

case 4: if Location _1(h, w) ═ 0 and Location _2(h, w) ═ 0, corresponding to microbubble-free regions, and the microvascular level is no microvascular, then the corresponding display parameter Location (h, w) ═ 0;

the enhancement _1, the enhancement _2 and the enhancement _3 can be expressed as display brightness parameters, and different imaging effects can be achieved by optimizing values of the enhancement _1, the enhancement _2 and the enhancement _ 3.

It can be understood that the multi-frame tracking accumulation is performed on the multi-frame spatial display distribution data obtained by the fusion processing, so as to obtain a super-resolution image result. Fig. 15 is a schematic diagram illustrating comparison between an ultrasonic imaging effect and an SVD filtering imaging effect and a DI processing imaging effect according to an embodiment of the present application, and it can be seen that the ultrasonic imaging method provided in this embodiment has advantages of both the SVD filtering processing method and the DI processing method, and improves a hierarchical sense of microvascular imaging.

In another embodiment of the present application, step S430 in fig. 4 includes the following steps:

the method comprises the steps of carrying out weighted summation on multiframe first microbubble positioning data and multiframe second microbubble positioning data corresponding to a frame sequence in space respectively to obtain multiframe target microbubble positioning data, and determining the microvascular distribution condition according to the target microbubble positioning data to obtain target microvascular image data.

Different from the above-mentioned mode that the embodiment in fig. 5 obtained target microvascular image data by determining the microvascular grade, this embodiment carries out the weighted summation respectively in space through the multiframe first microbubble positioning data and the multiframe second microbubble positioning data of corresponding frame order to obtain multiframe target microbubble positioning data, can make target microbubble positioning data more continuous and smooth on spatial distribution, the imaging of the microvascular distribution condition that obtains and target microvascular image data is better.

determining first microvascular image data according to the multi-frame first microbubble positioning data, determining second microvascular image data according to the multi-frame second microbubble positioning data, and obtaining target microvascular image data according to the first microvascular image data and the second microvascular image data.

It can be understood that, in the embodiment of fig. 5 in which the microvascular level is determined first and the embodiment in which the first microbubble positioning data and the second microbubble positioning data are weighted and summed spatially, the two sets of microbubble positioning data are fused first, and then the microvascular image data is formed. Different from the two embodiments, in this embodiment, two sets of microvascular image data are respectively formed according to the first microbubble positioning data and the second microbubble positioning data, and then the two sets of microvascular image data are fused to obtain the target microvascular image data. Wherein, first microvascular image data and second microvascular image data, the luminance display data of generally all being the microvascular carries out the stack fusion with two sets of microvascular image data, can make the image of formation of image have the advantage of two kinds of space-time filtering processing concurrently, can improve the accuracy nature to the microvascular formation of image, promotes the imaging effect of microvascular.

Referring to fig. 7, in an embodiment of the present application, step S250 in fig. 2 includes the following steps:

step S710: and carrying out fusion processing on the first microbubble signal and the second microbubble signal to obtain a target microbubble signal, wherein the target microbubble signal comprises a multi-frame fusion microbubble radio frequency signal.

Step S720: and carrying out microbubble positioning processing on each frame of fused microbubble radio-frequency signals in the target microbubble signals to obtain multi-frame target microbubble positioning data.

Step S730: and determining the distribution condition of the microvessels according to the multi-frame target microbubble positioning data to obtain target microvessel image data.

It can be understood that, in the embodiment of fig. 4, the multi-frame microbubble radio frequency signals in the first microbubble signal and the second microbubble signal are respectively subjected to microbubble positioning processing, and then the two sets of obtained microbubble positioning data are subjected to fusion processing to obtain target microvascular image data. In this embodiment, two sets of microbubble signals, namely the first microbubble signal and the second microbubble signal, are fused and then microbubble-positioned, so as to obtain target microvascular image data. It should be noted that, two different sequential processing methods can both obtain a better imaging effect, and those skilled in the art can select and use the method according to actual situations.

Referring to fig. 8, in an embodiment of the present application, step S250 in fig. 2 includes the following steps:

step S810: first microvascular image data is determined from the first microbubble signal and second microvascular image data is determined from the second microbubble signal.

Step S820: and obtaining target microvascular image data according to the first microvascular image data and the second microvascular image data.

It can be understood that, different from the two fusion processing manners provided by the above-mentioned embodiment of fig. 4 and the above-mentioned embodiment of fig. 7, in this embodiment, the microvascular image data is generated directly according to the two sets of microbubble signals, and then the microvascular image data is fused, for example, the two sets of microvascular image data are spatially superimposed or weighted and summed to obtain the target microvascular image data.

Referring to fig. 9, fig. 9 is a flowchart illustrating an ultrasound imaging method according to another embodiment of the present application. The ultrasound imaging method may include the steps of:

step S910: the method comprises the steps of transmitting a first ultrasonic wave to target tissue, and receiving an echo of the first ultrasonic wave returned by the target tissue to obtain a first ultrasonic echo signal.

Step S920: and obtaining a tissue structure signal of the target tissue according to the first ultrasonic echo signal, wherein the tissue structure signal comprises a multi-frame space radio frequency signal.

Step S930: and carrying out first microbubble signal processing on the tissue structure signal so as to extract microbubble radio frequency signals in the frame space radio frequency signals to obtain first microbubble signals.

Step S940: and performing second microbubble signal processing on the organization structure signal to extract microbubble radio-frequency signals in each frame of space radio-frequency signals to obtain second microbubble signals, wherein the processing effects of the first microbubble signal processing and the second microbubble signal processing are different, the first microbubble signal processing and the second microbubble signal processing are both space-time filtering processing, and the space-time filtering processing is to filter static organization radio-frequency signals in the space radio-frequency signals according to comparison of data among multiple frames of space radio-frequency signals to extract the microbubble radio-frequency signals in the space radio-frequency signals.

Step S950: and obtaining target microvascular image data by performing fusion processing on the first microbubble signal and the second microbubble signal.

Step S960: and displaying a microvessel image according to the target microvessel image data.

In this embodiment, the spatial-temporal filtering processing method with different processing effects is used to process the tissue structure signal, so as to filter the static tissue radio-frequency signal in the spatial radio-frequency signal, extract the microbubble radio-frequency signal, obtain two sets of microbubble signals, namely, the first microbubble signal and the second microbubble signal, and then perform fusion processing.

In some embodiments, the first microbubble signal processing is time-domain differential filtering processing or singular value decomposition filtering processing; the second microbubble signal processing is time-domain differential filtering processing or singular value decomposition filtering processing.

It is to be understood that, when the first microbubble signal processing is the time-domain differential filtering processing and the second microbubble signal processing is the singular value decomposition filtering processing, and when the first microbubble signal processing is the singular value decomposition filtering processing and the second microbubble signal processing is the time-domain differential filtering processing, the first microbubble signal processing and the second microbubble signal processing are different kinds of spatio-temporal filtering processing; when the first microbubble signal processing and the second microbubble signal processing are both time-domain differential filtering processing and when the first microbubble signal processing and the second microbubble signal processing are both singular value decomposition filtering processing, different filtering parameters need to be selected for the first microbubble signal processing and the second microbubble signal processing, and the first microbubble signal processing and the second microbubble signal processing are the same type of time-space filtering processing with different filtering parameters.

It should be noted that, for the specific description of the time-domain differential filtering process in this embodiment, the step S240 may be described in detail with reference to the embodiment shown in fig. 2; for the specific description of the singular value decomposition filtering process in this embodiment, the specific description of step S230 may be described with reference to the embodiment shown in fig. 2, for example, with reference to the specific description of the embodiment shown in fig. 3; for the specific description of step S950 in this embodiment, reference may be made to the specific description of step S250 in the embodiment shown in fig. 2, for example, the related specific descriptions in fig. 4 to fig. 8.

Referring to fig. 10, fig. 10 is a flowchart illustrating an ultrasound imaging method according to another embodiment of the present application. The ultrasound imaging method may include the steps of:

step S1010: the method comprises the steps of transmitting a first ultrasonic wave to target tissue, and receiving an echo of the first ultrasonic wave returned by the target tissue to obtain a first ultrasonic echo signal.

Step S1020: and obtaining a tissue structure signal of the target tissue according to the first ultrasonic echo signal, wherein the tissue structure signal comprises a multi-frame space radio frequency signal.

Step S1030: and performing multiple types of space-time filtering processing on the tissue structure signals, extracting the microbubble radio-frequency signals to obtain multiple groups of microbubble signals, wherein the space-time filtering processing is to filter static tissue radio-frequency signals in the space radio-frequency signals according to comparison of data among multiple frames of space radio-frequency signals, extract the microbubble radio-frequency signals in the space radio-frequency signals and further obtain the microbubble signals.

Step S1040: and performing fusion processing on each group of microbubble signals to obtain target microvascular image data.

Step S1050: and displaying the microvascular image according to the target microvascular image data.

It can be understood that the embodiment shown in fig. 9 performs the spatial-temporal filtering processing with different processing effects on the tissue structure signal, namely, the first microbubble signal processing and the second microbubble signal processing. In this embodiment, a plurality of spatiotemporal filtering processes may be performed, for example, three types of microbubble signal processes are performed on the tissue structure signal, which are respectively a first microbubble signal process, a second microbubble signal process, and a third microbubble signal process, then a first microbubble signal, a second microbubble signal, and a third microbubble signal are obtained, and finally, three groups of microbubble signals are fused to obtain target microvascular image data, and a microvascular image is displayed, so that the imaged image has advantages of three types of spatiotemporal filtering processes, and thus, the accuracy of microvascular imaging can be improved, and the imaging effect of the microvascular is improved. The four microbubble signal processing cases for the tissue structure signals can be analogized, and are not described in detail here.

The plurality of spatio-temporal filtering processes used in this embodiment may be the same type of spatio-temporal filtering processes including different filtering parameters, or may include different types of spatio-temporal filtering processes, for example, including time-domain differential filtering processes or singular value decomposition filtering processes.

In addition, fig. 11 is a schematic structural diagram of an image display device. The image display apparatus 1100 includes a processor 1110 and a display 1120; processor 1110 is configured to acquire and process a tissue structure signal, where the tissue structure signal includes a plurality of frames of spatial radio frequency signals; the display 1120 is used to display microvascular image data.

It should be understood that the components included in the image display apparatus 1100 shown in fig. 11 are merely illustrative, and that more or fewer components may be included. The invention is not limited in this regard. The processor 1110 in the image display apparatus 1100 shown in fig. 11 is also used to execute the ultrasonic imaging method in fig. 12 to 14 below.

Referring to fig. 12, fig. 12 is a flow chart illustrating an ultrasound imaging method according to an embodiment of the present application. The ultrasound imaging method may include the steps of:

step 1210: and acquiring a tissue structure signal, wherein the tissue structure signal comprises a plurality of frames of space radio frequency signals.

Step S1220: and carrying out first microbubble signal processing on the tissue structure signal so as to extract microbubble radio frequency signals in the frame space radio frequency signals to obtain first microbubble signals.

Step S1230: and performing second microbubble signal processing on the tissue structure signal to extract microbubble radio-frequency signals in each frame of space radio-frequency signals to obtain second microbubble signals, wherein the processing effects of the first microbubble signal processing and the second microbubble signal processing are different, the first microbubble signal processing and the second microbubble signal processing are both space-time filtering processing, the space-time filtering processing is to filter static tissue radio-frequency signals in the space radio-frequency signals according to comparison of data among multiple frames of space radio-frequency signals, and the microbubble radio-frequency signals are extracted from the space radio-frequency signals.

Step S1240: and obtaining target microvascular image data by performing fusion processing on the first microbubble signal and the second microbubble signal.

Step S1250: and displaying the microvascular image according to the target microvascular image data.

It is understood that the ultrasound imaging method provided in this embodiment, compared to the ultrasound imaging method provided in the embodiment shown in fig. 9, has no echo step for transmitting and receiving ultrasound, and only has signal processing steps of processing the acquired tissue structure signal, obtaining target microvascular image data, displaying a microvascular image, and the like, and thus is generally applied to an image display device 1100 such as that shown in fig. 11.

Referring to fig. 13, fig. 13 is a flow chart illustrating an ultrasound imaging method according to another embodiment of the present application. The ultrasound imaging method may include the steps of:

step 1310: and acquiring a tissue structure signal, wherein the tissue structure signal comprises a plurality of frames of space radio frequency signals.

Step S1320: and carrying out singular value decomposition filtering processing on the tissue structure signal so as to extract the microbubble radio frequency signals in the frame space radio frequency signals to obtain first microbubble signals.

Step S1330: and carrying out time-domain differential filtering processing on the tissue structure signal to extract the microbubble radio frequency signals in each frame of space radio frequency signals to obtain second microbubble signals.

Step S1340: and obtaining target microvascular image data by performing fusion processing on the first microbubble signal and the second microbubble signal.

Step S1350: and displaying the microvascular image according to the target microvascular image data.

It is understood that the ultrasound imaging method provided in this embodiment, compared to the ultrasound imaging method provided in the embodiment shown in fig. 2, has no echo step for transmitting and receiving ultrasound, and only has signal processing steps of processing the acquired tissue structure signal, obtaining target microvascular image data, displaying a microvascular image, and the like, and thus is generally applied to an image display device 1100 such as that shown in fig. 11.

Referring to fig. 14, fig. 14 is a flow chart illustrating an ultrasound imaging method according to yet another embodiment of the present application. The ultrasound imaging method may include the steps of:

step S1410: acquiring an organization structure signal, wherein the organization structure signal comprises a multi-frame space radio frequency signal;

step S1420: performing multiple types of space-time filtering processing on the tissue structure signals, extracting microbubble radio-frequency signals to obtain multiple groups of microbubble signals, wherein the space-time filtering processing is to filter static tissue radio-frequency signals in the space radio-frequency signals according to comparison of data among multiple frames of space radio-frequency signals, extract the microbubble radio-frequency signals in the space radio-frequency signals and further obtain the microbubble signals;

step S1430: performing fusion processing on each group of microbubble signals to obtain target microvascular image data;

step S1440: and displaying the microvascular image according to the target microvascular image data.

It is understood that the ultrasound imaging method provided in this embodiment, compared to the ultrasound imaging method provided in the embodiment shown in fig. 10, has no echo step for transmitting and receiving ultrasound, and only has signal processing steps of processing the acquired tissue structure signal, obtaining target microvascular image data, displaying a microvascular image, and the like, and thus is generally applied to an image display device 1100 such as that shown in fig. 11.

The embodiment of the present application provides a computer storage medium, on which a computer program is stored, applied to an ultrasound imaging apparatus or an image display apparatus, and when executed by a processor, the computer program implements the ultrasound imaging method according to the above embodiment.

Embodiments of the present application provide a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the ultrasonic imaging method according to the above embodiment.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

It should also be appreciated that the various implementations provided in the embodiments of the present application can be combined arbitrarily to achieve different technical effects.

While the preferred embodiments of the present invention have been described, the present invention is not limited to the above embodiments, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention, and such equivalent modifications or substitutions are included in the scope of the present invention defined by the claims.

Claims

1. An ultrasonic imaging method, comprising:

2. An ultrasonic imaging method, comprising:

performing first microbubble signal processing on the tissue structure signal to extract microbubble radio-frequency signals in the space radio-frequency signals of each frame to obtain first microbubble signals;

3. An ultrasonic imaging method according to claim 2, wherein the first microbubble signal processing and the second microbubble signal processing are the same kind of spatio-temporal filtering processing with different filtering parameters or are different kinds of spatio-temporal filtering processing.

4. An ultrasonic imaging method according to claim 2, wherein the first microbubble signal processing is time-domain differential filtering processing or singular value decomposition filtering processing; and the second microbubble signal processing is time-domain differential filtering processing or singular value decomposition filtering processing.

5. An ultrasound imaging method according to claim 1 or 4, wherein said temporal differential filtering process comprises:

and filtering static organization radio frequency signals according to the difference between one frame of space radio frequency signals and the other frame of space radio frequency signals with two frames of preset intervals to obtain the microbubble radio frequency signals.

6. An ultrasound imaging method according to claim 5, wherein said differencing comprises at least one of an amplitude difference, a phase difference, or a frequency difference.

7. An ultrasound imaging method according to claim 1 or 4, wherein the singular value decomposition filtering process comprises:

calculating singular values of a plurality of frames of the space radio frequency signals to obtain a singular value set;

determining a target singular value in the singular value set according to preset statistical parameters;

and extracting target characteristic signals in the space radio-frequency signals according to the target singular values to obtain the microbubble radio-frequency signals.

8. An ultrasound imaging method according to claim 7, wherein said determining the target singular value of the set of singular values according to the preset statistical parameters comprises one of:

comparing each singular value in the singular value set with a preset threshold range, and determining the singular value falling into the threshold range as the target singular value;

or sorting the singular values in the singular value set according to the size, and acquiring the intermediate singular values of a preset number in a sorting sequence as the target singular value.

9. An ultrasonic imaging method according to claim 1 or 2, wherein the obtaining of the target microvascular image data by performing the fusion processing on the first microbubble signal and the second microbubble signal comprises:

carrying out microbubble positioning processing on the multiframe microbubble radio frequency signals in the first microbubble signals to obtain multiframe first microbubble positioning data;

carrying out microbubble positioning processing on the multiframe microbubble radio-frequency signals in the second microbubble signals to obtain multiframe second microbubble positioning data;

performing fusion processing on the multi-frame first microbubble positioning data and the multi-frame second microbubble positioning data to obtain target microvascular image data;

the microbubble positioning processing is to determine the positioning of microbubbles in the space according to the distribution condition of microbubble radio-frequency signals in the space so as to obtain microbubble positioning data corresponding to the microbubble radio-frequency signals.

10. The ultrasonic imaging method according to claim 9, wherein the fusing the multiple frames of first microbubble location data and the multiple frames of second microbubble location data to obtain the target microvascular image data comprises at least one of:

determining microvascular grade distribution data according to the first microbubble positioning data of each frame and the second microbubble positioning data of each frame corresponding to the frame sequence, and performing image processing on the microvascular grade distribution data to obtain target microvascular image data;

or respectively carrying out weighted summation on the multi-frame first microbubble positioning data and the multi-frame second microbubble positioning data corresponding to the frame sequence in space to obtain multi-frame target microbubble positioning data, and determining the microvascular distribution condition according to the target microbubble positioning data to obtain target microvascular image data;

or determining first microvascular image data according to multiple frames of the first microbubble positioning data, determining second microvascular image data according to multiple frames of the second microbubble positioning data, and obtaining the target microvascular image data according to the first microvascular image data and the second microvascular image data.

11. The method according to claim 10, wherein said determining the data of the microvascular gradient distribution from said first microbubble positioning data for each frame and said second microbubble positioning data for each frame in the corresponding frame sequence comprises:

determining the microvascular grade according to the first microbubble positioning data of each frame and the second microbubble positioning data of each frame corresponding to the frame sequence, and further obtaining multi-frame microvascular grade distribution data;

the image processing of the microvascular hierarchical distribution data to obtain target microvascular image data comprises:

respectively determining display parameters corresponding to each frame of microvascular hierarchical distribution data to obtain multi-frame spatial display distribution data;

and obtaining the target microvascular image data according to the multi-frame spatial display distribution data.

12. An ultrasonic imaging method according to claim 11, wherein the first microbubble location data and the second microbubble location data are binarized matrix data;

when the value of a target element in the first microbubble positioning data is a first data value, and the value of an element corresponding to the target element in the second microbubble positioning data is a first data value, the level of the capillary is a first-level capillary;

when the value of a target element in the first microbubble positioning data is a second data value, and the value of an element corresponding to the target element in the second microbubble positioning data is a first data value, the level of the microvasculature is a second-level microvasculature;

when the value of the target element in the first microbubble positioning data is a first data value, and the value of the element corresponding to the target element in the second microbubble positioning data is a second data value, the microvessel level is a third-level microvessel;

when the value of a target element in the first microbubble positioning data is a second data value, and the value of an element corresponding to the target element in the second microbubble positioning data is a second data value, the microvascular grade is no microvascular;

wherein the first data value is used for representing that the microbubble radio frequency signal exists at the spatial position corresponding to the target element in the spatial radio frequency signal, the second data value is used for representing that the microbubble radio frequency signal does not exist at the spatial position corresponding to the target element in the spatial radio frequency signal, and the blood vessel diameter of the secondary micro-blood vessel representation is larger than the blood vessel diameter of the tertiary micro-blood vessel representation and smaller than the blood vessel diameter of the primary micro-blood vessel representation.

13. An ultrasonic imaging method according to claim 1 or 2, wherein the obtaining of the target microvascular image data by performing the fusion processing on the first microbubble signal and the second microbubble signal includes one of:

performing fusion processing on the first microbubble signal and the second microbubble signal to obtain a target microbubble signal, wherein the target microbubble signal comprises a multi-frame fused microbubble radio-frequency signal, performing microbubble positioning processing on each frame of fused microbubble radio-frequency signal in the target microbubble signal to obtain multi-frame target microbubble positioning data, and determining a microvascular distribution condition according to the multi-frame target microbubble positioning data to obtain target microvascular image data;

or determining first microvascular image data according to the first microbubble signal, determining second microvascular image data according to the second microbubble signal, and obtaining the target microvascular image data according to the first microvascular image data and the second microvascular image data.

14. An ultrasonic imaging method, comprising:

15. An ultrasound imaging method according to claim 14, wherein said plurality of spatio-temporal filtering processes comprise the same kind of spatio-temporal filtering processes of different filtering parameters or comprise different kinds of spatio-temporal filtering processes.

16. An ultrasound imaging method according to claim 14, wherein said spatio-temporal filtering process is a time-domain differential filtering process or a singular value decomposition filtering process.

17. An ultrasonic imaging method, comprising:

18. An ultrasonic imaging method, comprising:

19. An ultrasonic imaging method, comprising:

20. An ultrasound imaging apparatus, comprising:

an ultrasonic probe;

the processor is used for processing the ultrasonic echo signals, obtaining tissue structure signals of the target tissue, carrying out micro-bubble signal processing on the tissue structure signals, obtaining micro-bubble signals and obtaining target micro-blood vessel image data according to the micro-bubble signals;

a display for displaying the microvascular image data;

the processor is further configured to perform the ultrasound imaging method of any of claims 1 to 16 above.

21. An image display apparatus, comprising:

a display for displaying the microvascular image data;

the processor is further configured to perform the ultrasound imaging method of claims 17 to 19 above.