Parameter measurement method based on super-resolution contrast image and ultrasonic imaging device

Abstract

The invention discloses a parameter measurement method based on a super-resolution contrast image and an ultrasonic imaging device, and the method comprises the steps: controlling an ultrasonic probe to emit a first ultrasonic wave to a target tissue which does not contain a contrast agent, receiving an echo of the first ultrasonic wave to obtain a first ultrasonic echo signal, and generating and displaying a first tissue image according to the first ultrasonic echo signal; selecting a super-resolution imaging area on the first tissue image; controlling the ultrasonic probe to emit a second ultrasonic wave to the target tissue injected with the contrast agent, receiving an echo of the second ultrasonic wave to obtain a second ultrasonic echo signal, and generating a super-resolution contrast image corresponding to the super-resolution imaging area according to the second ultrasonic echo signal; displaying the super-resolution contrast image; acquiring and displaying an identifier indicating the blood vessel to be detected on the super-resolution contrast image; generating and displaying a pixel intensity curve graph based on the pixel intensity of the position where the identifier is located; and generating and displaying a parameter measurement result of the to-be-measured blood vessel based on the operation of the user on the curve graph.

Description

Technical Field

[0001] The present application relates to the technical field of ultrasonic imaging, and more specifically to a parameter measurement method and an ultrasonic imaging device based on super-resolution angiography images. Background Art

[0002] As a new technology that can perform real-time dynamic observation of lesions and their tissue blood perfusion, ultrasound contrast imaging plays an increasingly important role in the diagnosis of malignant diseases such as liver cancer, thyroid cancer and breast cancer, and has become a necessary examination method for clinical evaluation of blood circulation and perfusion.

[0003] Blockage, obstruction and pathological changes of microcirculation are precursors of many diseases. Observation of microvascular changes is helpful for early diagnosis of diseases. Capillaries are located in the epidermis and are an important part of blood microcirculation. They have the smallest diameter of about 6 to 9 μm. Arterioles and venules are located in the dermis with a diameter of about 10 to 100 μm, connected to arteries and veins in the lower skin. Microcirculation refers to the blood circulation between arterioles and venules in the vascular network. It is not only the terminal part of the circulatory system, but also an important component of organs. Under normal circumstances, the blood flow of microcirculation is adapted to the metabolic level of human tissues and organs to maintain normal life activities and metabolism of the human body. When the metabolism and function of tissues and organs are abnormal, microcirculation will change to a certain extent. Therefore, microcirculation is closely related to the occurrence and development of diseases, and has important physiological, pathological, pharmacological and clinical significance. It is of great value for the early diagnosis and treatment of various diseases.

[0004] However, due to the diffraction limit of ultrasound in the far field, the ability of conventional clinical ultrasound to display the details of microvascular structures is limited. Although the spatial resolution can be improved by increasing the transmission frequency and near-field imaging, it will inevitably lead to a decrease in imaging depth, and most organs are at a great depth from the probe, making it difficult to apply near-field super-resolution methods. Super-resolution contrast-enhanced ultrasound (SR-CEUS) is a new imaging method with ultra-high spatial resolution. It draws on the principles of fluorescence microscopy positioning technology in optical super-resolution imaging and obtains images with a spatial resolution of tens of microns by locating and tracking isolated microbubbles. Therefore, super-resolution contrast-enhanced ultrasound technology solves the problem of microvascular display and becomes a powerful tool for observing microblood flow. It is currently widely used in preclinical research in the fields of tumors, microblood perfusion of different tissues and organs, and plaque neovascularization.

[0005] Normal microvessels are mainly composed of capillaries, arterioles and venules, with well-formed forked branches and orderly tissue structures. In contrast, tumor blood vessels lack an orderly hierarchical structure and are characterized by expansion, cysticity and uneven diameter in spatial distribution. Therefore, based on the super-resolution angiography vascular morphological structure imaging information, quantifying the vascular distance (vascular diameter or vascular spacing) can not only reflect the information of the local blood supply channel of the tissue, but also can be used to evaluate the resolution of super-resolution imaging.

[0006] However, the traditional distance measurement method calculates the physical distance between two points by manually marking two points. For example, to measure the diameter of a blood vessel, you need to manually mark the starting point on one side of the blood vessel wall, and then mark the end point on the other side of the blood vessel wall. Based on the pixel size, the physical distance between the two sides of the blood vessel wall is calculated. If multiple blood vessels are measured, multiple markings are required. In addition, the measurement results vary from person to person, and it is impossible to accurately obtain microvascular-related distance information. Summary of the invention

[0007] The present application is proposed to solve the above-mentioned problems. According to one aspect of the present application, a parameter measurement method based on a super-resolution angiography image is provided, the method comprising: controlling an ultrasonic probe to transmit a first ultrasonic wave to a target tissue that does not contain a contrast agent, receiving an echo of the first ultrasonic wave to obtain a first ultrasonic echo signal, and generating and displaying a first tissue image according to the first ultrasonic echo signal; selecting a super-resolution imaging area on the first tissue image; controlling the ultrasonic probe to transmit a second ultrasonic wave to the target tissue injected with a contrast agent, receiving an echo of the second ultrasonic wave to obtain a second ultrasonic echo signal, and generating a super-resolution angiography image corresponding to the super-resolution imaging area according to the second ultrasonic echo signal; displaying the super-resolution angiography image; obtaining and displaying an identifier indicating a blood vessel to be measured on the super-resolution angiography image; generating and displaying a pixel intensity curve graph based on the pixel intensity at the location of the identifier; generating and displaying a parameter measurement result of the blood vessel to be measured based on the user's operation on the curve graph.

[0008] According to another aspect of the present application, a parameter measurement method based on a super-resolution angiography image is provided, the method comprising: acquiring and displaying a super-resolution angiography image containing an object to be measured; acquiring and displaying an identification indicating a blood vessel to be measured on the super-resolution angiography image; generating and displaying a pixel intensity curve graph based on the pixel intensity at the location of the identification; and generating and displaying a parameter measurement result of the blood vessel to be measured based on the curve graph.

[0009] According to another aspect of the present application, an ultrasonic imaging device is provided, which includes a transmitting and receiving circuit, an ultrasonic probe, a processor and a display, wherein: the transmitting and receiving circuit is used to control the ultrasonic probe to transmit ultrasonic waves to a target object, receive echoes of the ultrasonic waves, and obtain ultrasonic echo signals from the echoes; the processor is used to control the transmitting and receiving circuit, and execute the above-mentioned parameter measurement method based on super-resolution angiography images to generate super-resolution angiography images, pixel intensity curve graphs and measurement results of blood vessels to be measured; the display is used to display the super-resolution angiography images, marks indicating the blood vessels to be measured on the super-resolution angiography images, the pixel intensity curve graphs and the measurement results of the blood vessels to be measured.

[0010] According to another aspect of the present application, a computing device is provided, comprising a memory, a processor and a display, wherein: a computer program executed by the processor is stored on the memory; when the computer program is executed by the processor, the processor executes the above-mentioned parameter measurement method based on the super-resolution angiography image to obtain a super-resolution angiography image, an identification indicating the blood vessel to be measured on the super-resolution angiography image, and generates a pixel intensity curve graph and a measurement result of the blood vessel to be measured; and the display is used to display the super-resolution angiography image, the identification indicating the blood vessel to be measured on the super-resolution angiography image, the pixel intensity curve graph and the measurement result of the blood vessel to be measured.

[0011] The parameter measurement method, ultrasonic imaging device and computing device based on super-resolution angiography images of the present application enable the user to simply mark the blood vessels to be measured on the super-resolution angiography images, and conveniently obtain the parameter measurement results of the blood vessels to be measured through the generated pixel intensity curve graph, which not only simplifies the user operation, but also improves the accuracy of the measurement results. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The above and other purposes, features and advantages of the present invention will become more apparent by describing the embodiments of the present invention in more detail in conjunction with the accompanying drawings. The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0013] Figure 1 A schematic diagram showing the traditional measurement method for measuring the diameters of two blood vessels.

[0014] Figure 2 A schematic flowchart of a parameter measurement method based on super-resolution angiography images according to an embodiment of the present application is shown.

[0015] Figure 3A schematic diagram showing an example of acquiring and displaying a marker indicating a blood vessel to be measured on a super-resolution angiography image in a parameter measurement method based on a super-resolution angiography image according to an embodiment of the present application.

[0016] Figure 4 A schematic diagram showing an example of a pixel intensity curve graph generated in a parameter measurement method based on a super-resolution angiography image according to an embodiment of the present application.

[0017] Figure 5 A schematic diagram showing an example of generating and displaying parameter measurement results of a blood vessel to be measured based on a user's operation on a curve graph in a parameter measurement method based on a super-resolution angiography image according to an embodiment of the present application.

[0018] Figure 6 A schematic diagram showing another example of generating and displaying parameter measurement results of a blood vessel to be measured based on a user's operation on a curve graph in a parameter measurement method based on super-resolution angiography images according to an embodiment of the present application.

[0019] Figure 7 A schematic diagram showing an example of displaying a super-resolution angiography image in a parameter measurement method based on a super-resolution angiography image according to an embodiment of the present application.

[0020] Figure 8 A schematic diagram showing an example of an interactive interface displayed in a parameter measurement method based on super-resolution angiography images according to an embodiment of the present application.

[0021] Fig. 9 A schematic diagram showing an example of an enlarged image of a super-resolution contrast image in a parameter measurement method based on a super-resolution contrast image according to an embodiment of the present application.

[0022] Fig.10 A schematic diagram showing an example of displaying a pixel intensity curve graph and displaying parameter measurement results in a parameter measurement method based on a super-resolution angiography image according to an embodiment of the present application.

[0023] Fig.11 A schematic diagram showing another example of displaying parameter measurement results in a parameter measurement method based on super-resolution angiography images according to an embodiment of the present application.

[0024] Fig.12 A schematic diagram showing an example of a display interface in a parameter measurement method based on super-resolution angiography images according to an embodiment of the present application.

[0025] Fig.13 A schematic diagram showing a more specific example of a display interface in a parameter measurement method based on super-resolution angiography images according to an embodiment of the present application.

[0026] Fig.14 A schematic diagram showing another example of an interactive interface displayed in a parameter measurement method based on super-resolution angiography images according to an embodiment of the present application.

[0027] Fig.15 A flowchart showing a specific example of a parameter measurement method based on super-resolution angiography images according to an embodiment of the present application.

[0028] Fig.16 A schematic flowchart of a parameter measurement method based on super-resolution angiography images according to another embodiment of the present application is shown.

[0029] Fig.17 A schematic structural block diagram of an ultrasonic imaging device according to an embodiment of the present application is shown.

[0030] Fig.18 A schematic structural block diagram of a computing device according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical scheme and advantages of the present invention more obvious, the exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention, and it should be understood that the present invention is not limited to the exemplary embodiments described herein. Based on the embodiments of the present invention described in the present invention, all other embodiments obtained by those skilled in the art without creative work should fall within the protection scope of the present invention.

[0032] As mentioned above, normal microvessels are mainly composed of capillaries, arterioles, and venules, with well-formed forked branches and orderly organizational structures. In contrast, normal blood vessels lack an orderly hierarchical structure, and are characterized by expansion, cysticity, and uneven diameter in spatial distribution. Therefore, based on the super-resolution angiography vascular morphological imaging information, quantifying the vascular distance (vascular diameter or vascular spacing) can not only reflect the information of the local blood supply channel of the tissue, but can also be used to evaluate the resolution of super-resolution imaging.

[0033] However, the traditional distance measurement method manually marks two points and calculates the physical distance between the two points. For example, to measure the diameter of a blood vessel, you need to manually mark the starting point S on one side of the blood vessel wall, and then mark the end point E on the other side of the blood vessel wall. Based on the pixel size, the physical distance between the two sides of the blood vessel wall is calculated. Figure 1 If multiple blood vessels are measured, multiple markings are required. Moreover, the measurement results vary from person to person, and it is impossible to accurately obtain the distance information related to microvessels.

[0034] Therefore, the present invention proposes a parameter measurement solution based on super-resolution angiography images to solve the above problems, which is described below in conjunction with the accompanying drawings.

[0035] Figure 2 FIG. 2 is a schematic flow chart of a parameter measurement method 200 based on super-resolution angiography images according to an embodiment of the present application. Figure 2 As shown, the parameter measurement method 200 based on super-resolution angiography images may include the following steps:

[0036] In step S210, the ultrasonic probe is controlled to transmit a first ultrasonic wave to a target tissue that does not contain a contrast agent, an echo of the first ultrasonic wave is received to acquire a first ultrasonic echo signal, and a first tissue image is generated and displayed according to the first ultrasonic echo signal.

[0037] In step S220, a super-resolution imaging area is selected on the first tissue image;

[0038] In step S230, the ultrasound probe is controlled to transmit a second ultrasound wave to the target tissue injected with contrast agent, an echo of the second ultrasound wave is received to obtain a second ultrasound echo signal, and a super-resolution contrast image corresponding to the super-resolution imaging area is generated according to the second ultrasound echo signal.

[0039] In step S240, the super-resolution angiography image is displayed.

[0040] In step S250, a marker indicating the blood vessel to be measured is acquired and displayed on the super-resolution angiography image.

[0041] In step S260, a pixel intensity curve graph is generated and displayed based on the pixel intensity at the location of the marker.

[0042] In step S270, based on the user's operation on the graph, the parameter measurement result of the blood vessel to be measured is generated and displayed.

[0043] In an embodiment of the present application, method 200 provides a workflow for super-resolution contrast imaging and parameter measurement based on the generated super-resolution contrast image. Specifically, the ultrasound probe is first controlled to transmit a first ultrasonic wave to the target tissue that does not contain a contrast agent, in order to obtain a tissue image of the target tissue (referred to as a first tissue image) based on the obtained first ultrasonic echo signal, so that the user can select (or obtain by automatically recognizing the first tissue image) a super-resolution imaging area. After the super-resolution imaging area is determined, a contrast agent can be injected into the patient, and after the contrast agent is infused into the target tissue, a second ultrasonic wave is transmitted to the target tissue injected with the contrast agent, and super-resolution imaging processing is performed based on the obtained second ultrasonic echo signal to obtain a super-resolution contrast image corresponding to the selected super-resolution imaging area.

[0044] Specifically, generating a super-resolution contrast image corresponding to the super-resolution imaging area according to the second ultrasonic echo signal may include: performing microbubble detection according to the second ultrasonic echo signal to obtain a microbubble detection result; performing microbubble separation according to the microbubble detection result to obtain a microbubble separation result; performing microbubble positioning according to the microbubble separation result to obtain a microbubble positioning result; performing microbubble tracking according to the microbubble positioning result to obtain a microbubble tracking result; performing image reconstruction according to the microbubble positioning result and the microbubble tracking result to obtain a super-resolution contrast image corresponding to the super-resolution imaging area. Among them, for microbubble detection, it should be noted that different microbubble detection methods correspond to different collected data. For example, for the collected tissue echo data containing microbubble signals, the linearity and high spatiotemporal correlation characteristics of the tissue echo signal can be used to filter out the main linear signals in the image and retain the nonlinear components, thereby realizing tissue filtering and extracting the microbubble signal. Microbubble separation specifically uses bandpass filters of different frequencies to process the microbubble signal, so that the spatially overlapping microbubbles can be distinguished in the frequency domain; or the microbubble data is divided into multiple subsets based on the microbubble velocity to achieve the purpose of reducing the microbubble concentration. Microbubble positioning can be done by centroid method, and the precise positioning of each microbubble can be obtained by point spread function deconvolution. Microbubble tracking means that after obtaining the precise positioning of each microbubble, the movement trajectory of the microbubble signal in multiple frames of data can be further tracked. Based on the inter-frame displacement and image frame rate, the movement speed and direction of the microbubble can be further determined. Image reconstruction means that based on the results of microbubble positioning and tracking, microvascular structure images and microhemodynamic images, i.e., super-resolution angiography images, can be constructed. After data processing is completed, the corresponding super-resolution image results can be output and displayed.

[0045] After obtaining the super-resolution angiography image, it can be displayed for the user to view. Then, the user can select the blood vessel to be measured on the super-resolution angiography image through user interaction. Based on the user interaction (which can be called the first user input), the identification of the blood vessel to be measured on the super-resolution angiography image can be obtained (of course, the identification of the blood vessel to be measured can also be automatically obtained by image recognition of the super-resolution angiography image). Since the pixel intensity at each pixel position on the super-resolution angiography image is known, in the embodiment of the present application, the pixel intensity at the position where the identification of the blood vessel to be measured is located can be obtained, and a pixel intensity curve graph reflecting the position of the blood vessel to be measured is generated based on the obtained pixel intensity. Since the area with smaller pixel intensity (dark area) on the super-resolution angiography image generally has no blood vessels, and the area with larger pixel intensity (bright area) represents blood vessels. Therefore, through the generated pixel intensity curve graph, the blood vessel position can be determined by the size of the pixel intensity. For example, each peak point can correspond to a single blood vessel. In this way, the data between the troughs on the left and right sides of the peak can be considered as the data of the single blood vessel, and the relevant measurement results of the single blood vessel can be obtained based on the data. For example, the distance between two points at the half crest position can be defined as the diameter of the blood vessel, or the distance between two points at the one-third crest position can be defined as the diameter of the blood vessel, etc., and it is not limited to the distance between the half crest position or the one-third crest position as the diameter of the blood vessel, and can also be other positions. Similarly, the measurement method of the parameters of the blood vessels corresponding to other crest points is the same. Therefore, the user can perform interactive operations on the curve chart, and according to the interactive operations, the parameters of the blood vessels that the user wants to measure and / or some parameters between blood vessels (such as the distance between blood vessels, etc.) can be determined.

[0046] Therefore, according to the parameter measurement method 200 based on super-resolution angiography images of the embodiment of the present application, the user only needs to simply mark the blood vessels to be measured on the super-resolution angiography images. As long as the user's mark can cover the position of the blood vessel to be measured, the parameter measurement results of the blood vessel to be measured can be conveniently obtained through the generated pixel intensity curve graph. There is no need to carefully mark the two points on the two blood vessel walls of the blood vessel to be measured as in the existing solution and then directly obtain the measurement results based on the distance between the two points marked by the user. Therefore, it not only simplifies the user operation, but also improves the accuracy of the measurement results, because there will be no difference in the measurement results due to slight differences in the user's mark position. In addition, since the measurement results can be obtained as long as the user's mark can cover the position of the blood vessel to be measured, when the user needs to measure the parameters of multiple blood vessels, it is sufficient to cover multiple parameters at once, and there is no need to separately mark the two points on the two blood vessel walls of each blood vessel to be measured, which further simplifies the user operation.

[0047] The following is an illustrative description of more specific operations of the method 200 in conjunction with the accompanying drawings.

[0048] Figure 3 FIG. 2 is a schematic diagram showing an example of acquiring and displaying a marker indicating a blood vessel to be measured on a super-resolution angiography image in a parameter measurement method 200 based on a super-resolution angiography image according to an embodiment of the present application. Figure 3 As shown in FIG. 3 , the user outlines two blood vessels to be detected on the super-resolution angiography image by a line 310. The linear mark spans across the two blood vessels, covering the positions of the two blood vessels and also including some dark areas at non-blood vessel positions. That is, the user does not have to be as careful as Figure 1 Instead of drawing the positions of the two walls of each blood vessel, the positions of the two blood vessels can be drawn with a simple stroke, which obviously simplifies the user operation. In this example, a linear marker spanning one or more blood vessels to be tested is shown, and the linear marker is a straight line. In other examples, other linear markers (such as curves) or other markers (such as rectangular boxes or any markers that can identify the blood vessels to be tested) can also be used. Among them, an interactive interface can be presented to allow the user to select the type of marker (ROI type) based on the interactive interface, as described later. Figure 8 shown.

[0049] Figure 4 A schematic diagram showing an example of a pixel intensity curve diagram generated in the parameter measurement method 200 based on super-resolution angiography images according to an embodiment of the present application, which corresponds to Figure 3 The pixel intensity curve of the drawn mark is as follows. Figure 4 As shown, the ordinate of the pixel intensity curve graph is pixel intensity, and the abscissa is position. The position of the abscissa refers to the actual physical distance of the straight line 310 drawn by the user. For example, taking the left side of the straight line 310 as the starting point, the abscissa corresponding to the point is 0, and taking the right side of the straight line 310 as the end point, the abscissa corresponding to the point is 1000 (micrometers, um). In addition, the ordinate can specifically be a normalized value of the pixel intensity. Normalizing the pixel intensity can obtain a better display effect and avoid the numerical range of the pixel intensity being too large, resulting in a large gap between the peaks of the final waveform and poor readability. Based on the normalized results of the physical distance of the straight line 310 and its corresponding pixel intensity, the original curve can be generated, such as Figure 4 shown.

[0050] In addition, as required, the original curve can be interpolated and / or smoothed to obtain a smoother curve effect. The processing method can be, for example, spline interpolation and moving average filter. Based on the smoothed curve, a peak search algorithm can be used to locate each single blood vessel contained in the outlined area. Figure 3 The middle straight line 310 identifies two blood vessels, so correspondingly, Figure 4The pixel intensity curve shown in FIG. 1 includes two peak points, corresponding to two blood vessels, and each peak point corresponds to a single blood vessel. Then, the troughs on both sides of the peaks are found, and the data between the two troughs represent the cross section of the current blood vessel.

[0051] In order to enhance the accuracy of blood vessel detection, the relevant fitting method can be used as needed to fit the data between the two troughs, so as to obtain the fitting curve of each blood vessel in the user-delineated area, such as Figure 4 Compared with the original curve, the shape of the curve after fitting processing is more complete, which is more conducive to calculating the parameters of the blood vessels and obtaining more accurate measurement results.

[0052] In an embodiment of the present application, the parameter measurement results of the blood vessels to be measured are generated based on the pixel intensity curve graph, which may include: according to the fitting curve of each blood vessel to be measured, the diameter of each blood vessel to be measured is automatically calculated according to the preset rules. For example, the preset rules define that the full width at half maximum value (full width at half) represents the size of the blood vessel diameter. Among them, assuming that the current maximum peak amplitude of the blood vessel is PksMax, then at the position of PksMax / 2, the current blood vessel cross-sectional distance is the diameter of the blood vessel. The user can also define the measurement ratio relative to the highest peak value as needed. For example, the blood vessel cross-sectional distance at the position of 1 / 3 of PksMax can be obtained as a measure of the blood vessel diameter.

[0053] Figure 5 That is, a schematic diagram showing an example of generating and displaying parameter measurement results of a blood vessel to be measured based on the user's operation on the curve graph in the parameter measurement method 200 based on the super-resolution angiography image according to an embodiment of the present application. Figure 5 As shown, the user also selects the distance between two points at the half wave peak position on the curve graph as the diameter of the blood vessel. Through calculation, it can be measured that the diameters of the two blood vessels are 104um and 94um respectively.

[0054] In addition, generating the parameter measurement result of the blood vessel to be measured based on the pixel intensity curve graph may include: automatically calculating the distance between different blood vessels to be measured according to the fitting curve of each blood vessel to be measured, or obtaining a second user input and calculating the distance between two or more blood vessels to be measured specified by the second user input. Figure 4 As shown, the pixel intensity curve graph only includes data of two blood vessels to be measured, and the distance between the two can be directly calculated automatically; or it can be calculated after receiving a user instruction. When the pixel intensity curve graph includes data of more blood vessels to be measured, the distance between them can be automatically calculated, or the distance between the two blood vessels to be measured specified by the user can be calculated according to a second user input.

[0055] Figure 6That is, a schematic diagram showing another example of generating and displaying parameter measurement results of a blood vessel to be measured based on the user's operation on the curve graph in the parameter measurement method 200 based on the super-resolution angiography image according to an embodiment of the present application. Figure 6 As shown, the user selects two peak points on the curve graph to measure the distance between two blood vessels, that is, blood vessel distance measurement.

[0056] In addition to the diameter of the blood vessel to be measured and the distance between different blood vessels to be measured mentioned above, statistics can also be performed on multiple blood vessels to output the maximum value, minimum value, average value, etc. of the diameter of the blood vessel to be measured. These values ​​can be as follows Figure 5 The graph can be displayed on the curve, or in a display area other than the curve, such as in the form of a chart, and then combined with Fig.11 In addition, the blood vessels to be tested corresponding to the above-mentioned maximum and minimum diameter statistical values ​​can also be marked and displayed on the curve graph and / or super-resolution angiography image, and then combined with Fig.10 to describe.

[0057] Now combine Figures 7 to 14 An example of a display interface presented in method 200 according to an embodiment of the present application is described.

[0058] First, after obtaining a super-resolution contrast image, the super-resolution contrast image can be displayed on a display interface. Generally, the super-resolution contrast image can be displayed superimposed on a tissue image. The tissue image can also be displayed separately, or not displayed. Here, the ultrasonic echo signal for generating the tissue image can generally be an ultrasonic echo signal from an ultrasonic echo signal for super-resolution imaging, such as the second ultrasonic echo signal described above. The tissue image generated based on the second ultrasonic echo signal can be referred to as a second tissue image, which is generated in real time and changes dynamically. In addition, the super-resolution contrast image can also be displayed simultaneously with the first tissue image described above, and they are generally displayed independently of each other. The generation of the first tissue image is to select a super-resolution imaging area. Therefore, after the super-resolution imaging data acquisition is started, the first tissue image is frozen and presents a static state. Generally, the imaging area of ​​the first tissue image is the same or substantially the same as the imaging area of ​​the second tissue image.

[0059] Figure 7 That is, a schematic diagram showing an example of displaying a super-resolution angiography image in the parameter measurement method 200 based on a super-resolution angiography image according to an embodiment of the present application is shown. Figure 7 As shown, the tissue image and the super-resolution contrast image are displayed simultaneously on the display interface, wherein the super-resolution contrast image is superimposed on the tissue image (ie, the tissue image is used as the background and the super-resolution contrast image is used as the foreground).

[0060] After obtaining the super-resolution angiography image, an interactive interface may be presented, and the user may select, based on the interactive interface, the type of identification used to mark the blood vessel to be measured (such as a straight line or a curve, etc.), the method for measuring the parameters of the blood vessel to be measured (such as an automatic method or a manual method), the curve displayed in the curve (such as the original curve and / or the processed curve), and the intensity for smoothing the original curve. Figure 8 That is, a schematic diagram showing an example of an interactive interface displayed in the parameter measurement method 200 based on super-resolution angiography images according to an embodiment of the present application. Figure 8 As shown in the figure, the current user has selected the "automatic" measurement mode in the measurement mode, which means that the measurement results of various parameters can be automatically output after the pixel intensity curve graph is generated; the user has selected "straight line" in the current ROI type to mark the blood vessels to be measured; the user has selected to display the original curve and the fitting curve at the same time in the curve graph, and has selected the intensity "2" as the intensity level for curve smoothing.

[0061] After that, in one example, the display interface may display an enlarged super-resolution angiography image, that is, Figure 7 The enlarged view of the super-resolution angiography image is shown so that the user can see the blood vessel condition more clearly on the enlarged image and can better mark the blood vessel to be tested with the selected mark. Fig. 9 That is, a schematic diagram showing an example of an enlarged image of a super-resolution angiography image in a parameter measurement method based on a super-resolution angiography image according to an embodiment of the present application is shown. Fig. 9 As shown, the user selects several blood vessels to be measured using straight lines as markers on the super-resolution angiography image.

[0062] After the user identifies the blood vessel to be measured, a corresponding pixel intensity curve graph can be generated and displayed, and finally a measurement result of the blood vessel to be measured is generated. Fig.10 That is, a schematic diagram showing an example of displaying a pixel intensity graph and displaying parameter measurement results in a parameter measurement method 200 based on super-resolution angiography images according to an embodiment of the present application is shown. In this example, the pixel intensity graph contains data of four blood vessels to be measured (due to the close distance between the blood vessels, the waveforms overlap slightly), and their respective diameters are 18um, 24um, 68um and 35um, respectively; wherein the maximum diameter is 68um, the minimum diameter is 18um, and the average diameter is about 37um, all of which are displayed in the graph. In addition, the blood vessels to be measured corresponding to the maximum diameter and the blood vessels to be measured corresponding to the minimum diameter are marked in the graph respectively: for example, the first wave crest from left to right is marked as a blue dot, representing the blood vessel to be measured corresponding to the minimum diameter; the third wave crest from left to right is marked as a red dot, representing the blood vessel to be measured corresponding to the maximum diameter.

[0063] As mentioned above, in addition to displaying parameter measurement results in a graph, they can also be displayed in other ways. Fig.11 That is, a schematic diagram showing another example of displaying parameter measurement results in the parameter measurement method 200 based on super-resolution angiography images according to an embodiment of the present application. Fig.11 As shown in this example, some parameter measurement results are shown in table form, corresponding to Fig.10 The measurement results of some parameters are as follows, namely, the maximum diameter is 68um, the minimum diameter is 18um, and the average diameter is 36.5um.

[0064] In an embodiment of the present application, the super-resolution imaging image, interactive interface, pixel intensity graph, and parameter measurement result displayed above can be displayed in different areas on the same display interface, or can be displayed in different display interfaces in a time-sharing or independent manner. Fig.12 FIG. 2 is a schematic diagram showing an example of a display interface in a parameter measurement method 200 based on a super-resolution angiography image according to an embodiment of the present application. Fig.12 As shown, the display interface is divided into several display areas, wherein the first display area can be used as an original image display area to display super-resolution angiography images and tissue images; the second display area can be used as a user interaction area to display a user interaction interface and the user's identification results of the blood vessels to be measured on the super-resolution angiography images; the third display area can be used as a curve display area to display a pixel intensity curve graph; and the fourth display area can be used as a measurement output area to display at least part of the parameter measurement results.

[0065] Fig.13 FIG. 2 is a schematic diagram showing a more specific example of a display interface in a parameter measurement method 200 based on a super-resolution angiography image according to an embodiment of the present application. Fig.13 As shown, in this example, according to Fig.12 The layout of the example shown above Figures 8 to 11 The example layout shown is on a display interface, where Fig.12 The first display area (original image display area) shown in the figure can be further divided into a first sub-area and a second sub-area, which respectively display the tissue image and the super-resolution angiography image. Based on the information displayed on the display interface, the user can clearly know the progress of the entire imaging and parameter measurement process and the final parameter measurement results.

[0066] Furthermore, other information may be displayed on the display interface, such as basic information of the patient, imaging parameter information, etc. Fig.14 That is, a schematic diagram showing another example of a display interface in a parameter measurement method based on super-resolution angiography images according to an embodiment of the present application. Fig.14 and Fig.12 Basically similar, except that Fig.14 In addition to including Fig.12 The area shown in the figure also includes an information display area and an imaging parameter display area, which can be used to display the basic information of the patient and the imaging parameters of the ultrasound imaging respectively.

[0067] In an embodiment of the present application, method 200 may further include: after generating and displaying the parameter measurement results of the blood vessel to be tested, acquiring and displaying the identification indicating other blood vessels to be tested on the super-resolution angiography image; generating and displaying an updated pixel intensity curve graph based on the pixel intensity of the location where the identification of the other blood vessels to be tested is located; generating and displaying the parameter measurement results of other blood vessels to be tested based on the updated pixel intensity curve graph. Wherein, when displaying the updated pixel intensity curve graph, the previously displayed pixel intensity curve graph may no longer be displayed. In this embodiment, it may support multiple outlining of the blood vessel to be tested, multiple calculations of the parameter measurement results of the blood vessel to be tested, and may support hiding previous curve graphs and / or measurement results. Combined with the foregoing Fig.14 In the example shown, when the user draws the mark of another blood vessel to be measured again, the content displayed in the user interaction area, curve display area, and measurement output area will be updated, and the previously displayed content can be hidden, that is, no longer displayed, so as not to affect the viewing of the updated content. The previously displayed content can also be temporarily hidden. After the user completes the measurement, the previous measurement results can be redisplayed so that the user can view all the measurement results.

[0068] The above exemplary shows the parameter measurement method 200 based on super-resolution angiography images according to an embodiment of the present application. Fig.15 A more specific example process of the method is shown, the details of which have been described above and will not be repeated here.

[0069] Based on the above description, according to the parameter measurement method 200 based on super-resolution angiography images of the embodiment of the present application, the user only needs to simply mark the blood vessels to be measured on the super-resolution angiography image, and can conveniently obtain the parameter measurement results of the blood vessels to be measured through the generated pixel intensity curve graph, which not only simplifies the user operation, but also improves the accuracy of the measurement results.

[0070] Combine the following Fig.16 A parameter measurement method 1600 based on super-resolution angiography images according to another embodiment of the present application is described. Fig.16 As shown, method 1600 includes the following steps:

[0071] In step S1610, a super-resolution angiography image including the object to be detected is acquired and displayed.

[0072] In step S1620, a marker indicating the blood vessel to be measured is acquired and displayed on the super-resolution angiography image.

[0073] In step S1630, a pixel intensity curve graph is generated and displayed based on the pixel intensity at the location of the marker.

[0074] In step S1640, the parameter measurement result of the blood vessel to be measured is generated and displayed based on the curve graph.

[0075] The parameter measurement method 1600 based on the super-resolution angiography image according to the embodiment of the present application is substantially similar to the parameter measurement method 200 based on the super-resolution angiography image described above, except that the super-resolution angiography image in the method 1600 may not be generated in real time. Therefore, the parameter measurement method 1600 based on the super-resolution angiography image according to the embodiment of the present application can also achieve a similar effect. Since the method 200 has been described in detail above, those skilled in the art can understand the operation of the method 1600 in combination with the above description. For the sake of brevity, only some main operations of the method 1600 are described here, and the specific details are not repeated.

[0076] In an embodiment of the present application, the mark indicating the blood vessel to be measured in step S1620 is obtained based on the first user input, wherein the first user input includes the mark indicating the blood vessel to be measured drawn by the user on the super-resolution angiography image.

[0077] In an embodiment of the present application, the mark in step S1620 includes a line mark spanning one or more blood vessels to be tested, and the line mark includes a straight line or a curve.

[0078] In an embodiment of the present application, the super-resolution angiography image is displayed in a first display area of ​​the display interface, and method 1600 further includes: displaying an enlarged image of the super-resolution angiography image in a second display area of ​​the display interface to facilitate the user to draw a mark on the enlarged image.

[0079] In an embodiment of the present application, method 1600 also includes: continuing to display the first tissue image while displaying the super-resolution angiography image; wherein the first tissue image is displayed in a first sub-area of ​​the first display area, and the super-resolution angiography image with the first tissue image as the background is displayed in a second sub-area of ​​the first display area; or the super-resolution angiography image with the first tissue image as the background is displayed in the first display area.

[0080] In an embodiment of the present application, method 1600 further includes: displaying a curve graph in a third display area of ​​the display interface; and displaying parameter measurement results on the curve graph and / or in a fourth display area of ​​the display interface.

[0081] In an embodiment of the present application, the parameter measurement results of the blood vessels to be measured include at least one of the following: the diameter of each blood vessel to be measured; the maximum value of the diameters of all blood vessels to be measured; the minimum value of the diameters of all blood vessels to be measured; the average value of the diameters of all blood vessels to be measured; and the distance between different blood vessels to be measured.

[0082] In an embodiment of the present application, method 1600 also includes at least one of the following: identifying the blood vessel to be measured with a maximum diameter on the curve graph and / or the super-resolution angiography image; identifying the blood vessel to be measured with a minimum diameter on the curve graph and / or the super-resolution angiography image.

[0083] In an embodiment of the present application, in step S1630, a pixel intensity curve graph is generated and displayed based on the pixel intensity of the location where the marker is located, including: generating and displaying an original curve of pixel intensity varying with position based on the pixel intensity of the location where the marker is located and / or a curve after processing the original curve, preferably, the processing includes interpolation processing and / or smoothing processing.

[0084] In the embodiment of the present application, the pixel intensity corresponding to the original curve is the pixel intensity after normalization processing.

[0085] In an embodiment of the present application, each peak point in the original curve corresponds to a blood vessel to be measured, and the processing further includes: fitting the data between two troughs in the original curve to obtain a fitting curve for each blood vessel to be measured.

[0086] In an embodiment of the present application, generating the parameter measurement results of the blood vessels to be measured based on the curve graph in step S1640 includes at least one of the following: automatically calculating the diameter of each blood vessel to be measured according to a preset rule based on the fitting curve of each blood vessel to be measured; automatically calculating the distance between different blood vessels to be measured according to the fitting curve of each blood vessel to be measured, or obtaining a second user input and calculating the distance between two or more blood vessels to be measured specified by the second user input.

[0087] In an embodiment of the present application, before acquiring and displaying the identifier indicating the blood vessel to be measured, method 1600 further includes: presenting an interactive interface so that the user can select the type of identifier and / or the measurement method of the parameters of the blood vessel to be measured based on the interactive interface.

[0088] In an embodiment of the present application, before generating and displaying the pixel intensity curve graph, method 1600 also includes: presenting an interactive interface so that the user can select at least one of the following based on the interactive interface: displaying the original curve and / or the processed curve in the curve graph; the intensity of the smoothing processing; the measurement method of the parameters of the blood vessel to be tested.

[0089] In an embodiment of the present application, after generating and displaying the parameter measurement results of the blood vessel to be measured, method 1600 also includes: acquiring and displaying identifications indicating other blood vessels to be measured on the super-resolution angiography image; generating and displaying an updated pixel intensity curve graph based on the pixel intensity of the positions where the identifications of the other blood vessels to be measured are located; generating and displaying the parameter measurement results of the other blood vessels to be measured based on the updated pixel intensity curve graph; wherein, when displaying the updated pixel intensity curve graph, the previously displayed pixel intensity curve graph may no longer be displayed.

[0090] In an embodiment of the present application, method 1600 also includes: acquiring a tissue image corresponding to the super-resolution angiography image; superimposing the super-resolution angiography image on the tissue image; wherein the tissue image and the super-resolution angiography image are obtained by processing the same or different ultrasonic echo signals.

[0091] Based on the above description, according to the parameter measurement method 1600 based on super-resolution angiography images of the embodiment of the present application, the user only needs to simply mark the blood vessels to be measured on the super-resolution angiography image, and can conveniently obtain the parameter measurement results of the blood vessels to be measured through the generated pixel intensity curve graph, which not only simplifies the user operation, but also improves the accuracy of the measurement results.

[0092] Combine the following Fig.17 An ultrasonic imaging device provided according to another aspect of the present application is described. Fig.17 FIG. 1 shows a schematic structural block diagram of an ultrasonic imaging device 1700 according to an embodiment of the present application. Fig.17 As shown, the ultrasonic imaging device 1700 may include a transmitting and receiving circuit 1710, an ultrasonic probe 1720, a processor 1730 and a display 1740. Among them: the transmitting and receiving circuit 1710 is used to control the ultrasonic probe 1720 to transmit ultrasonic waves to the target object, receive the echo of the ultrasonic waves, and obtain the ultrasonic echo signal from the echo; the processor 1730 is used to control the transmitting and receiving circuit, and execute the parameter measurement method 200 or 1700 based on the super-resolution angiography image described above to generate a super-resolution angiography image, a pixel intensity curve diagram and the measurement results of the blood vessel to be measured; the display 1740 is used to display the super-resolution angiography image, the pixel intensity curve diagram and the measurement results of the blood vessel to be measured. The above has described in detail the parameter measurement method 200 and 1600 based on the super-resolution angiography image according to the embodiment of the present application. Those skilled in the art can understand the structure and operation of the ultrasonic imaging device 1700 in combination with the above, and will not be repeated here for the sake of brevity.

[0093] Combine the following Fig.18 A computing device according to another aspect of the present application is described. Fig.18 FIG. 1 shows a schematic structural block diagram of a computing device 1800 according to an embodiment of the present application. Fig.18As shown, the computing device 1800 includes a memory 1810, a processor 1820 and a display 1830, wherein: the memory 1810 stores a computer program executed by the processor 1820; when the computer program is executed by the processor 1820, the processor 1820 executes the parameter measurement method 1700 based on the super-resolution angiography image described above to obtain the super-resolution angiography image, the mark indicating the blood vessel to be measured on the super-resolution angiography image, and generate a pixel intensity curve graph and the measurement result of the blood vessel to be measured; the display 1830 is used to display the super-resolution angiography image, the mark indicating the blood vessel to be measured on the super-resolution angiography image, the pixel intensity curve graph and the measurement result of the blood vessel to be measured. The above has described in detail the parameter measurement method 1600 based on the super-resolution angiography image according to the embodiment of the present application. Those skilled in the art can understand the structure and operation of the computing device 1800 in combination with the above, and will not be repeated here for the sake of brevity.

[0094] In addition, according to an embodiment of the present application, a storage medium is also provided, on which program instructions are stored, and when the program instructions are run by a computer or a processor, the corresponding steps of the parameter measurement method based on super-resolution angiography images of the embodiment of the present application are used. The storage medium may include, for example, a memory card of a smart phone, a storage component of a tablet computer, a hard disk of a personal computer, a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a portable compact disk read-only memory (CD-ROM), a USB memory, or any combination of the above storage media. The computer-readable storage medium may be any combination of one or more computer-readable storage media.

[0095] In addition, according to an embodiment of the present application, a computer program is also provided, which can be stored in a cloud or local storage medium. When the computer program is run by a computer or a processor, it is used to perform the corresponding steps of the parameter measurement method based on super-resolution angiography images of the embodiment of the present application.

[0096] Based on the above description, according to the parameter measurement method based on super-resolution angiography images, the ultrasonic imaging device and the computing device of the embodiments of the present application, the user only needs to simply mark the blood vessels to be measured on the super-resolution angiography image, and can conveniently obtain the parameter measurement results of the blood vessels to be measured through the generated pixel intensity curve graph, which not only simplifies the user operation, but also improves the accuracy of the measurement results.

[0097] Although example embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above example embodiments are merely exemplary and are not intended to limit the scope of the present invention thereto. Various changes and modifications may be made therein by one of ordinary skill in the art without departing from the scope and spirit of the present invention. All such changes and modifications are intended to be included within the scope of the present invention as required by the appended claims.

[0098] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0099] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed.

[0100] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0101] Similarly, it should be understood that in order to streamline the present invention and help understand one or more of the various inventive aspects, in the description of the exemplary embodiments of the present invention, the various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, the method of the present invention should not be interpreted as reflecting the following intention: the claimed invention requires more features than the features explicitly stated in each claim. More specifically, as reflected in the corresponding claims, the inventive point is that the corresponding technical problem can be solved with less than all the features of a single disclosed embodiment. Therefore, the claims following the specific embodiment are hereby expressly incorporated into the specific embodiment, wherein each claim itself serves as a separate embodiment of the present invention.

[0102] It will be understood by those skilled in the art that, except for mutually exclusive features, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this specification may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature that provides the same, equivalent or similar purpose.

[0103] In addition, those skilled in the art will appreciate that, although some embodiments herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, in the claims, any one of the claimed embodiments may be used in any combination.

[0104] The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or digital signal processor (DSP) may be used in practice to implement some or all of the functions of some modules in the article analysis device according to an embodiment of the present invention. The present invention may also be implemented as a device program (e.g., a computer program and a computer program product) for executing part or all of the methods described herein. Such a program implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0105] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc., does not indicate any order. These words may be interpreted as names.

[0106] The above is only a specific embodiment or description of a specific embodiment of the present invention, and the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. The protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A parameter measurement method based on super-resolution angiography images, characterized in that: The method comprises: Controlling the ultrasonic probe to transmit a first ultrasonic wave to a target tissue that does not contain a contrast agent, receiving an echo of the first ultrasonic wave to acquire a first ultrasonic echo signal, and generating and displaying a first tissue image according to the first ultrasonic echo signal; Selecting a super-resolution imaging area on the first tissue image; Controlling the ultrasonic probe to transmit a second ultrasonic wave to the target tissue injected with contrast agent, receiving an echo of the second ultrasonic wave to acquire a second ultrasonic echo signal, and generating a super-resolution contrast image corresponding to the super-resolution imaging area according to the second ultrasonic echo signal; Displaying the super-resolution angiography image; Acquiring and displaying a marker indicating the blood vessel to be measured on the super-resolution angiography image; Based on the pixel intensity at the location of the marker, generate and display a pixel intensity curve graph; Based on the user's operation on the curve graph, the parameter measurement result of the blood vessel to be measured is generated and displayed.

2. The method according to claim 1, characterized in that The mark indicating the blood vessel to be measured is obtained based on a first user input, wherein the first user input includes a mark indicating the blood vessel to be measured drawn by a user on the super-resolution angiography image.

3. The method according to claim 2, characterized in that The mark includes a line mark that spans one or more blood vessels to be tested, and the line mark includes a straight line or a curve.

4. The method according to claim 2, characterized in that: The super-resolution angiography image is displayed in a first display area of ​​a display interface, and the method further comprises: An enlarged image of the super-resolution angiography image is displayed in a second display area of ​​the display interface to facilitate the user to outline the mark on the enlarged image.

5. The method according to claim 4, characterized in that The method further comprises: The first tissue image continues to be displayed while the super-resolution angiography image is displayed; wherein, Display the first tissue image in a first sub-area of ​​the first display area, and display the super-resolution angiography image with the first tissue image as the background in a second sub-area of ​​the first display area; or The super-resolution angiography image is displayed in the first display area with the first tissue image as a background.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: Displaying the curve graph in a third display area of ​​the display interface; The parameter measurement result is displayed on the curve graph and / or in a fourth display area of ​​the display interface.

7. The method according to claim 1, characterized in that The parameter measurement result of the blood vessel to be measured includes at least one of the following: the diameter of each of the blood vessels to be measured; The maximum value of the diameters of all the blood vessels to be measured; The minimum value of the diameters of all the blood vessels to be measured; The average value of the diameters of all the blood vessels to be measured; The distance between different blood vessels to be measured.

8. The method according to claim 7, characterized in that The method further comprises at least one of the following: marking the blood vessel to be measured having a diameter of the maximum value on the curve graph and / or the super-resolution angiography image; The blood vessel to be measured having a diameter of the minimum value is marked on the curve graph and / or the super-resolution angiography image.

9. The method according to claim 1, characterized in that: The step of generating and displaying a pixel intensity curve graph based on the pixel intensity at the position of the marker comprises: An original curve showing the variation of pixel intensity with position and / or a curve after processing the original curve is generated and displayed based on the pixel intensity at the position of the mark. Preferably, the processing includes interpolation processing and / or smoothing processing.

10. The method according to claim 9, characterized in that The pixel intensity corresponding to the original curve is the pixel intensity after normalization.

11. The method according to claim 9, characterized in that Each peak point in the original curve corresponds to a blood vessel to be measured, and the processing further includes: The data between two troughs in the original curve are fitted to obtain a fitting curve for each blood vessel to be tested.

12. The method according to claim 11, characterized in that The generating the parameter measurement result of the blood vessel to be measured based on the curve graph includes at least one of the following: According to the fitting curve of each blood vessel to be measured, the diameter of each blood vessel to be measured is automatically calculated according to a preset rule; The distances between different blood vessels to be measured are automatically calculated according to the fitting curve of each blood vessel to be measured, or a second user input is obtained to calculate the distances between two or more blood vessels to be measured specified by the second user input.

13. The method according to claim 1, characterized in that Before acquiring and displaying the mark indicating the blood vessel to be measured, the method further includes: An interactive interface is presented, so that the user can select the type of the identification and / or the measurement method of the parameter of the blood vessel to be measured based on the interactive interface.

14. The method according to claim 9, characterized in that Before generating and displaying the pixel intensity curve graph, the method further includes: presenting an interactive interface so that the user can select at least one of the following based on the interactive interface: Displaying the original curve and / or the processed curve in the curve graph; the intensity of the smoothing process; A method for measuring the parameters of the blood vessel to be measured.

15. The method according to any one of claims 1 to 14, characterized in that After generating and displaying the parameter measurement result of the blood vessel to be measured, the method further includes: Acquiring and displaying marks indicating other blood vessels to be measured on the super-resolution angiography image; Based on the pixel intensity of the position where the marker of the other blood vessel to be measured is located, generating and displaying an updated pixel intensity curve graph; Generate and display the parameter measurement results of the other blood vessels to be measured based on the updated pixel intensity curve graph.

16. The method according to claim 1, characterized in that The method further comprises: generating a second tissue image according to the second ultrasonic echo signal; displaying the second tissue image while displaying the super-resolution angiography image; The super-resolution angiography image is superimposed on the second tissue image for display.

17. The method according to claim 16, characterized in that The method further comprises: The first tissue image continues to be displayed while the super-resolution contrast image is displayed, wherein the first tissue image and the super-resolution contrast image are displayed independently of each other.

18. The method according to claim 17, characterized in that An imaging region of the second tissue image is the same as or substantially the same as an imaging region of the first tissue image.

19. The method according to any one of claims 1 to 17, characterized in that: The step of generating a super-resolution contrast image corresponding to the super-resolution imaging area according to the second ultrasonic echo signal comprises: performing microbubble detection according to the second ultrasonic echo signal to obtain a microbubble detection result; Performing microbubble separation according to the microbubble detection result to obtain a microbubble separation result; Performing microbubble localization according to the microbubble separation result to obtain a microbubble localization result; Performing microbubble tracking according to the microbubble positioning result to obtain a microbubble tracking result; Image reconstruction is performed according to the microbubble positioning result and the microbubble tracking result to obtain a super-resolution angiography image corresponding to the super-resolution imaging area.

20. A parameter measurement method based on super-resolution angiography images, characterized in that: The method comprises: Acquiring and displaying a super-resolution angiography image containing the object to be measured; Acquiring and displaying a marker indicating the blood vessel to be measured on the super-resolution angiography image; Based on the pixel intensity at the location of the marker, generate and display a pixel intensity curve graph; The parameter measurement results of the blood vessel to be measured are generated and displayed based on the curve graph.

21. The method according to claim 20, characterized in that The method further comprises: Acquiring a tissue image corresponding to the super-resolution angiography image; superimposing the super-resolution angiography image on the tissue image; The tissue image and the super-resolution angiography image are obtained by processing the same or different ultrasonic echo signals.

22. An ultrasonic imaging device, characterized in that: The device comprises a transmitting and receiving circuit, an ultrasound probe, a processor and a display, wherein: The transmitting and receiving circuit is used to control the ultrasonic probe to transmit ultrasonic waves to the target object, receive echoes of the ultrasonic waves, and obtain ultrasonic echo signals from the echoes; The processor is used to control the transmitting and receiving circuit, and execute the parameter measurement method based on the super-resolution angiography image according to any one of claims 1 to 21 to generate a super-resolution angiography image, a pixel intensity curve diagram and a measurement result of the blood vessel to be measured; The display is used to display the super-resolution angiography image, a mark indicating the blood vessel to be measured on the super-resolution angiography image, the pixel intensity curve graph and the measurement result of the blood vessel to be measured.

23. A computing device, characterized in that: The device comprises a memory, a processor and a display, wherein: The memory stores a computer program executed by the processor; When the computer program is executed by the processor, the processor executes the parameter measurement method based on the super-resolution angiography image according to any one of claims 1 to 21 to obtain a super-resolution angiography image, a mark indicating a blood vessel to be measured on the super-resolution angiography image, and generate a pixel intensity curve graph and a measurement result of the blood vessel to be measured; The display is used to display the super-resolution angiography image, a mark indicating the blood vessel to be measured on the super-resolution angiography image, the pixel intensity curve graph and the measurement result of the blood vessel to be measured.

Images