Ultrasonic contrast imaging method, ultrasonic imaging device and storage medium

Abstract

The invention discloses an ultrasonic contrast imaging method, an ultrasonic imaging device and a storage medium, and the method comprises the steps: obtaining M rolls of three-dimensional contrast data of a target tissue of a target object, different three-dimensional contrast data corresponding to different moments, and M being an integer greater than or equal to 2; on the basis of N rolls in the M rolls of three-dimensional radiography data, voxel points and / or positions of the voxel points corresponding to tissue areas where radiography signals appear for the first time at corresponding moments of each roll in the N rolls of three-dimensional radiography data are obtained, and N is an integer larger than or equal to 2 and smaller than or equal to M; selecting one roll of three-dimensional radiography data from the M rolls of three-dimensional radiography data as single roll of target three-dimensional radiography data; and based on the corresponding moment of each roll in the N rolls of three-dimensional radiography data, the corresponding relationship between the moment when the radiography signal appears for the first time and the color value, and the voxel points and / or the positions of the voxel points obtained by each roll in the N rolls of three-dimensional radiography data, rendering the single roll of target three-dimensional radiography data to obtain N frames of rendered images, the ith frame of rendered image is rendered based on the first volume to the ith volume in the N volumes of three-dimensional contrast data, and i is an integer greater than or equal to 1 and less than or equal to N; and playing the N frames of rendered images to display the time sequence of different colors appearing in the tissue area of the target tissue in the single volume of target three-dimensional radiography data, thereby dynamically presenting the time sequence of the first appearing of the radiography signals in the tissue area of the target tissue.

Description

Technical Field

[0001] The present application relates to the field of ultrasonic imaging technology, and more particularly to an ultrasonic contrast imaging method, an ultrasonic imaging device and a storage medium. Background Art

[0002] With the development of ultrasonic contrast imaging technology, three-dimensional / four-dimensional ultrasonic contrast has been increasingly widely used in clinical diagnosis scenarios such as tumors in abdominal organs such as the liver, brain tumors, and gynecological tumors. Compared with two-dimensional contrast images, three-dimensional contrast can provide more anatomical morphological information, clearly show the origin, spatial three-dimensional shape, and vascular continuity of the tumor nourishing artery and its main branches, and stereoscopically and vividly display the distribution of intratumoral microvessels in three-dimensional space. In addition, the real-time three-dimensional contrast (i.e., four-dimensional contrast) technology can also supplement the display of the dynamic perfusion process of the contrast agent, providing more dynamic information for clinical diagnosis and helping to judge the benign and malignant nature of tumors.

[0003] Since the perfusion process of the contrast agent is relatively fast, it is usually necessary to repeatedly view the movie to observe the perfusion time difference between the lesion and normal tissues. Although the existing four-dimensional contrast images can present the flow process of the contrast agent, they cannot intuitively reflect the time information of the arrival time of the contrast agent at different locations, resulting in an impact on clinical diagnosis: when observing the perfusion process of the contrast agent, doctors need to repeatedly view the movie to observe the perfusion time difference between the lesion and normal tissues and distinguish the areas of countercurrent and noise, and the repeated viewing process and visual errors may affect the clinical diagnosis efficiency; when attaching contrast images to the clinical report, a single volume image cannot reflect the time information of the contrast perfusion, and multiple images at different perfusion stages may need to be attached. Summary of the Invention

[0004] The present application is proposed to solve at least one of the above problems. According to one aspect of the present application, there is provided an ultrasonic contrast imaging method, the method comprising: acquiring M-volume three-dimensional contrast data of a target tissue of a target object, different said three-dimensional contrast data corresponding to different moments, M being an integer greater than or equal to 2; based on N volumes of the M-volume three-dimensional contrast data, obtaining voxel points and / or their positions corresponding to tissue regions where contrast signals first appear in each of the N volumes of three-dimensional contrast data at their corresponding moments, wherein N is an integer greater than or equal to 2 and less than or equal to M; selecting one volume of the three-dimensional contrast data from the M-volume three-dimensional contrast data as a single-volume target three-dimensional contrast data; rendering the single-volume target three-dimensional contrast data based on the corresponding moments of each of the N volumes of three-dimensional contrast data, at least reflecting the correspondence between the moment when the contrast signal first appears and the color value, and the voxel points and / or their positions obtained from each of the N volumes of three-dimensional contrast data, to obtain N rendered images, wherein the i-th rendered image is rendered based on the first to the i-th volumes of the N volumes of three-dimensional contrast data, i being an integer greater than or equal to 1 and less than or equal to N; playing the N rendered images to display the chronological order of the appearance of different colors in the tissue regions of the target tissue in the single-volume target three-dimensional contrast data, thereby dynamically presenting the chronological order of the appearance of contrast signals in the tissue regions of the target tissue.

[0005] According to another aspect of the present application, there is provided an ultrasonic contrast imaging method, the method comprising: acquiring multiple volumes of three-dimensional contrast data of a target tissue of a target object; selecting one volume of the three-dimensional contrast data from the multiple volumes of three-dimensional contrast data as a single-volume target three-dimensional contrast data; rendering the single-volume target three-dimensional contrast data to obtain multiple rendered images; playing and displaying the multiple rendered images to dynamically present the perfusion effect of the contrast agent with different colors appearing successively in at least a part of the region of the target tissue in the single-volume target three-dimensional contrast data, wherein different color values corresponding to pixel points in the multiple rendered images and the chronological order of the appearance of the different color values characterize the chronological order of the appearance of the contrast signal at the pixel points; wherein, the tissue structures of the target tissue presented in different frames of the multiple rendered images are all the tissue structures corresponding to all the data of the single-volume target three-dimensional contrast data, or the tissue structures of the target tissue presented in the different frames of the multiple rendered images increase with time.

[0006] According to another aspect of the present application, there is provided an ultrasonic contrast imaging method, the method comprising: acquiring M volumes of three-dimensional contrast data of a target tissue of a target object, different said three-dimensional contrast data corresponding to different times, M being an integer greater than or equal to 2; based on N volumes of the M volumes of three-dimensional contrast data, obtaining voxel points corresponding to tissue regions where contrast signals first appear in each of the N volumes of three-dimensional contrast data at their corresponding times, wherein N is an integer greater than or equal to 2 and less than or equal to M; selecting one volume of the three-dimensional contrast data from the M volumes of three-dimensional contrast data as a single-volume target three-dimensional contrast data; rendering the single-volume target three-dimensional contrast data based on the corresponding times of each of the N volumes of three-dimensional contrast data, and the voxel points and / or their positions obtained from each of the N volumes of three-dimensional contrast data, to obtain N rendered images, wherein the i-th rendered image is rendered based on the first volume to the i-th volume of the N volumes of three-dimensional contrast data, i being an integer greater than or equal to 1 and less than or equal to N; playing the N rendered images to display the chronological order in which the rendered colors appear in the tissue regions of the target tissue in the single-volume target three-dimensional contrast data, thereby dynamically presenting the chronological order in which the tissue regions of the target tissue first appear contrast signals.

[0007] According to yet another aspect of the present application, there is provided an ultrasonic contrast imaging method, the method comprising: acquiring M volumes of three-dimensional contrast data of a target tissue of a target object, different said three-dimensional contrast data corresponding to different times, M being an integer greater than or equal to 2; based on N volumes of the M volumes of three-dimensional contrast data, obtaining the voxel points and / or their positions where contrast signals appear in the N volumes of three-dimensional contrast data, and determining the volume of three-dimensional contrast data corresponding to each voxel point when the contrast signal first appears and using the time corresponding to that volume as the time when the contrast signal first appears for that voxel point, wherein N is an integer greater than or equal to 2 and less than or equal to M; selecting one volume of the three-dimensional contrast data from the M volumes of three-dimensional contrast data as a single-volume target three-dimensional contrast data; rendering the single-volume target three-dimensional contrast data based on the voxel points and / or their positions where contrast signals appear in the N volumes of three-dimensional contrast data, the time when each voxel point first appears contrast signal, and at least the correspondence between the time when the contrast signal first appears and the color value, to obtain N rendered images, wherein the i-th rendered image is rendered based on the first volume to the i-th volume of the N volumes of three-dimensional contrast data, i being an integer greater than or equal to 1 and less than or equal to N; playing the N rendered images to display the chronological order in which different colors appear in the tissue regions of the target tissue in the single-volume target three-dimensional contrast data, thereby dynamically presenting the chronological order in which the tissue regions of the target tissue first appear contrast signals.

[0008] According to another aspect of the present application, there is provided an ultrasonic contrast imaging method, the method comprising: acquiring M-volume three-dimensional contrast data of a target tissue of a target object, where different three-dimensional contrast data correspond to different moments, and M is an integer greater than or equal to 2; based on N volumes of the M-volume three-dimensional contrast data, obtaining a plurality of voxel points and / or their positions corresponding to the N-volume three-dimensional contrast data, and determining the three-dimensional contrast data volume corresponding to the moment when each voxel point first appears with a contrast signal and using the moment corresponding to this volume as the moment when the voxel point first appears with a contrast signal, where N is an integer greater than or equal to 2 and less than or equal to M; selecting one volume of the three-dimensional contrast data from the M-volume three-dimensional contrast data as a single-volume target three-dimensional contrast data; based on the plurality of voxel points and / or their positions corresponding to the N-volume three-dimensional contrast data, the moment when each voxel point first appears with a contrast signal, and at least the correspondence between the moment when the contrast signal first appears and the color value, rendering the single-volume target three-dimensional contrast data to obtain N rendered images, where the i-th rendered image is rendered based on the first i volumes of the N-volume three-dimensional contrast data, and i is an integer greater than or equal to 1 and less than or equal to N; playing the N rendered images to display the chronological order of the appearance of different colors in the tissue region of the target tissue in the single-volume target three-dimensional contrast data, thereby dynamically presenting the chronological order of the appearance of the contrast signal in the tissue region of the target tissue for the first time.

[0009] According to yet another aspect of the present application, there is provided an ultrasonic imaging device, the device comprising a transmitting and receiving circuit, an ultrasonic probe, a processor, and a display, wherein: the transmitting and receiving circuit is configured to control the ultrasonic probe to transmit ultrasonic waves to a target object, receive the echoes of the ultrasonic waves, and obtain ultrasonic echo data from the echoes; the processor is configured to control the transmitting and receiving circuit and obtain multi-volume three-dimensional contrast data of a target tissue of the target object based on the ultrasonic echo data to execute the above ultrasonic contrast imaging method to generate a rendered image presenting the dynamic perfusion effect of a contrast agent; the display is configured to display the rendered image.

[0010] According to still another aspect of the present application, there is provided a storage medium, on which a computer program is stored, and when the computer program is run by a processor, the processor is caused to execute the above ultrasonic contrast imaging method.

[0011] The contrast-enhanced ultrasound imaging method and ultrasound imaging device according to the embodiments of the present application can observe the dynamic perfusion process on a single-volume contrast image, and can achieve quantitative display of the arrival time of the contrast agent by using different pseudo-color coding for the arrival time of the contrast agent. In addition, since the dynamic perfusion process is observed on a single-volume contrast image, the doctor does not need to observe multiple volumes of three-dimensional contrast data before and after, nor does he need to select a frame of three-dimensional contrast data with a relatively complete morphology for the output of the diagnostic report. Instead, the single-volume contrast image can be directly used for diagnosis and the output of the diagnostic report, which greatly saves the operation time and improves the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] By describing the embodiments of the present invention in more detail with reference to the accompanying drawings, the above and other objects, features, and advantages of the present invention will become more apparent. 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 to the present invention. In the drawings, the same reference numerals generally represent the same components or steps.

[0013] Figure 1 Schematic diagram showing the effect of four-dimensional contrast conventional imaging.

[0014] Figure 2 Schematic diagram showing the effect of four-dimensional contrast time-sequential imaging.

[0015] Figure 3 Schematic flow chart showing the contrast-enhanced ultrasound imaging method according to an embodiment of the present application.

[0016] Figure 4 Schematic diagram showing the imaging effect of the contrast-enhanced ultrasound imaging method according to the embodiments of the present application.

[0017] Figure 5 Schematic diagram showing the color index table used in the contrast-enhanced ultrasound imaging method according to the embodiments of the present application.

[0018] Figure 6 Schematic diagram showing an example of differential display of positions where contrast agent has not yet appeared and positions where contrast agent has already appeared in the contrast-enhanced ultrasound imaging method according to the embodiments of the present application.

[0019] Figure 7 Schematic diagram showing another example of differential display of positions where contrast agent has not yet appeared and positions where contrast agent has already appeared in the contrast-enhanced ultrasound imaging method according to the embodiments of the present application.

[0020] Figure 8 Schematic diagram showing yet another example of differential display of positions where contrast agent has not yet appeared and positions where contrast agent has already appeared in the contrast-enhanced ultrasound imaging method according to the embodiments of the present application.

[0021] Figure 9 A schematic diagram showing that contrast agents have reached various positions within tissues in an ultrasonic contrast imaging method according to an embodiment of the present application.

[0022] Figure 10 A schematic flowchart showing an ultrasonic contrast imaging method according to another embodiment of the present application.

[0023] Figure 11 A schematic flowchart showing an ultrasonic contrast imaging method according to still another embodiment of the present application.

[0024] Figure 12 A schematic flowchart showing an ultrasonic contrast imaging method according to yet another embodiment of the present application.

[0025] Figure 13 A rendered image corresponding to the starting volume at a moment in an ultrasonic contrast imaging method according to an embodiment of the present application.

[0026] Figure 14 A rendered image showing that contrast agents have reached the left side of the fallopian tube in an ultrasonic contrast imaging method according to an embodiment of the present application.

[0027] Figure 15 A rendered image showing that contrast agents have reached the right side of the fallopian tube in an ultrasonic contrast imaging method according to an embodiment of the present application.

[0028] Figure 16 A rendered image corresponding to the ending volume at a moment in an ultrasonic contrast imaging method according to an embodiment of the present application.

[0029] Figure 17 A schematic flowchart showing an ultrasonic contrast imaging method according to still another embodiment of the present application.

[0030] Figure 18 A schematic structural block diagram showing an ultrasonic imaging device according to an embodiment of the present application. Detailed implementation manners

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

[0032] Currently, four-dimensional contrast conventional imaging is as shown (taking fallopian tube imaging as an example), and four-dimensional contrast time-sequential imaging is as shown Figure 1 shown (taking fallopian tube imaging as an example), and four-dimensional contrast time-sequential imaging is as shown Figure 2As shown (taking fallopian tube imaging as an example), although they can present the flow process of the contrast agent ( Figure 1 and Figure 2 which are actually animated images, but only one static image frame can be seen because PDF cannot present animated images), they cannot intuitively reflect the time information of the arrival time of the contrast agent at different parts. Moreover, since it renders multi-volume three-dimensional contrast data, there is an unstable visual sense of "tissue shaking" when playing the rendered images, which can be clearly shown in the animated image effect. In addition, after four-dimensional contrast conventional imaging and four-dimensional contrast time-sequential imaging, doctors need to observe multiple three-dimensional contrast data frames before and after, and need to observe and confirm repeatedly many times for diagnosis, and finally select a three-dimensional contrast data frame with a relatively complete shape for the output of the diagnostic report. This process takes 20 to 40 minutes for cropping and is time-consuming.

[0033] Based on this, the present application proposes a solution that can observe the contrast agent perfusion situation based on single-frame (i.e., single-volume) three-dimensional contrast data combined with dynamic pseudo-color imaging technology, which can effectively improve the diagnostic efficiency and cropping efficiency. The following will be described in conjunction with Figures 3 to 18 for description.

[0034] Figure 3 FIG. shows a schematic flowchart of an ultrasonic contrast imaging method 300 according to an embodiment of the present application. As Figure 3 shown, the ultrasonic contrast imaging method 300 may include the following steps:

[0035] In step S310, obtain M volumes of three-dimensional contrast data of the target tissue of the target object, where different three-dimensional contrast data correspond to different times, and M is an integer greater than or equal to 2.

[0036] In step S320, based on N volumes of the M volumes of three-dimensional contrast data, obtain the voxel points and / or their positions corresponding to the tissue regions where the contrast signal first appears at the corresponding times of each of the N volumes of three-dimensional contrast data, where N is an integer greater than or equal to 2 and less than or equal to M.

[0037] In step S330, select one volume of three-dimensional contrast data from the M volumes of three-dimensional contrast data as the single-volume target three-dimensional contrast data.

[0038] In step S340, based on the corresponding times of each of the N volumes of three-dimensional contrast data, at least reflecting the correspondence between the time when the contrast signal first appears and the color value, and the voxel points and / or their positions obtained for each of the N volumes of three-dimensional contrast data, render the single-volume target three-dimensional contrast data to obtain N rendered images, where the i-th rendered image is rendered based on the first to the i-th volumes of the N volumes of three-dimensional contrast data, and i is an integer greater than or equal to 1 and less than or equal to N.

[0039] In step S350, N rendered images are played to display the chronological order in which different colors appear in the tissue regions of the target tissue in a single volume of the target three-dimensional contrast data, thereby dynamically presenting the chronological order of the times when the tissue regions of the target tissue first appear with contrast signals.

[0040] In an embodiment of the present application, M volumes (M is an integer greater than or equal to 2) of three-dimensional contrast data of a target tissue of a target object are obtained. One volume of three-dimensional contrast data is selected from them as the single-volume target three-dimensional contrast data to be finally rendered. The rendering of this single-volume target three-dimensional contrast data is based on the corresponding time of each of the N volumes (N is an integer greater than or equal to 2 and less than or equal to M) of three-dimensional contrast data, the voxel point positions in this volume where the contrast signal first appears, and the correspondence between the time when the contrast signal first appears and the color values. The N volumes correspond to N times. Assuming that these N times are the 1st time to the Nth time respectively, then: The 1st time corresponds to the first color. Based on the first voxel point position where the contrast signal first appears in the volume corresponding to the 1st time, the corresponding first voxel point position of the single-volume target three-dimensional contrast data is determined, and the corresponding first voxel point position in this single-volume target three-dimensional contrast data is rendered with this first color, that is, the first frame of the rendered image is obtained, reflecting the position where the contrast agent first appears at the 1st time with the first color; The 2nd time corresponds to the second color. Based on the first voxel point position where the contrast signal first appears in the volume corresponding to the 1st time and the second voxel point position where the contrast signal first appears in the volume corresponding to the 2nd time, the corresponding first voxel point position and the second voxel point position of the single-volume target three-dimensional contrast data are determined. The corresponding first voxel point position in this single-volume target three-dimensional contrast data is rendered with this first color, and the corresponding second voxel point position in this single-volume target three-dimensional contrast data is rendered with this second color, that is, the second frame of the rendered image is obtained, reflecting the positions where the contrast agent first appears at the 1st time and the 2nd time with the first color and the second color respectively; And so on. The Nth time corresponds to the Nth color. Based on the first voxel point position where the contrast signal first appears in the volume corresponding to the 1st time, the second voxel point position where the contrast signal first appears in the volume corresponding to the 2nd time,..., and the Nth voxel point position where the contrast signal first appears in the volume corresponding to the Nth time, the corresponding first voxel point position to the Nth voxel point position of the single-volume target three-dimensional contrast data is determined. The corresponding first voxel point position in this single-volume target three-dimensional contrast data is rendered with this first color, the corresponding second voxel point position in this single-volume target three-dimensional contrast data is rendered with this second color,..., and the corresponding Nth voxel point position in this single-volume target three-dimensional contrast data is rendered with this Nth color, that is, the Nth frame of the rendered image is obtained, reflecting the positions where the contrast agent first appears at the 1st time to the Nth time with the first color to the Nth color respectively. Playing the above N frames of rendered images can display the chronological order of the appearance of different colors in the tissue region of the target tissue in the single-volume target three-dimensional contrast data, so as to dynamically present the chronological order of the appearance of the contrast signal in the tissue region of the target tissue. The effect diagram is as Figure 4 shown (taking the fallopian tube as an example, Figure 4It is actually an animated image, but since PDF cannot display animated images, only one frame of static image can be seen. Since it renders single-volume three-dimensional contrast data, the position of the entire fallopian tube tissue in each frame of the rendered image is exactly the same when playing the rendered images, without the visual sense of "tissue shaking", which can be clearly shown under the animated image effect). In addition, since a scale bar showing the correspondence between "time and color" is presented in Figure 4 it is possible to more intuitively reflect the time information of the arrival time of the contrast agent at different locations.

[0041] Therefore, the contrast-enhanced ultrasound imaging method 300 according to the embodiments of the present application can observe the dynamic perfusion process on a single-volume contrast image, and can achieve quantitative display of the arrival time of the contrast agent by encoding the arrival time of the contrast agent with different pseudo-colors. In addition, since the dynamic perfusion process is observed on a single-volume contrast image, the doctor does not need to observe multiple volumes of three-dimensional contrast data before and after, nor does he need to select a frame of three-dimensional contrast data with a relatively complete shape for the output of the diagnostic report. Instead, the single-volume contrast image can be directly used for diagnosis and the output of the diagnostic report, which greatly saves the operation time and improves the user experience.

[0042] In an embodiment of the present application, obtaining M volumes of three-dimensional contrast data of the target tissue of the target object in step S310 may include: obtaining a video stream of three-dimensional contrast data of the target tissue of the target object, and obtaining at least two volumes of three-dimensional contrast data from the video stream of three-dimensional contrast data as M volumes of three-dimensional contrast data. The N volumes of three-dimensional contrast data are obtained in the following manner: determining the starting volume of three-dimensional contrast data and the ending volume of three-dimensional contrast data in the M volumes of three-dimensional contrast data, and obtaining at least two volumes of three-dimensional contrast data from the starting volume of three-dimensional contrast data to the ending volume of three-dimensional contrast data as N volumes of three-dimensional contrast data. Therefore, the N volumes of three-dimensional contrast data may be all the data of the M volumes of three-dimensional contrast data or part of the data of the M volumes of three-dimensional contrast data.

[0043] In one example, determining the starting volume of three-dimensional contrast data in the M volumes of three-dimensional contrast data may include: using the first volume of three-dimensional contrast data in the M volumes of three-dimensional contrast data as the starting volume of three-dimensional contrast data. In this example, the first volume in the M volumes of three-dimensional contrast data may be used as the starting volume. In another example, determining the starting volume of three-dimensional contrast data in the M volumes of three-dimensional contrast data may include: obtaining the starting volume of three-dimensional contrast data based on the user's first input operation, and the user's first input operation is used to specify one volume of three-dimensional contrast data from the M volumes of three-dimensional contrast data as the starting volume of three-dimensional contrast data. In this example, the user designates one volume from the M volumes of three-dimensional contrast data as the starting volume. Generally, there should already be the appearance of contrast signals in the starting volume of three-dimensional contrast data.

[0044] In one example, determining the terminating volume three-dimensional contrast data in the M-volume three-dimensional contrast data may include: using one volume of three-dimensional contrast data from the m-th volume to the M-th volume in the M-volume three-dimensional contrast data as the terminating volume three-dimensional contrast data, where m is an integer close to 90% * M. Assuming M is equal to 50, that is, the terminating volume in the 50 volumes of three-dimensional contrast data can be one of the 45th volume to the 50th volume. Generally, the volume at this position is close to the last volume, so generally the contrast agent has appeared at various positions of the target tissue. Therefore, selecting the volume at this position as the terminating volume and combining the three-dimensional contrast data from the starting volume to the terminating volume as the data support for subsequent rendering can already better reflect the contrast agent perfusion process. In a simpler example, the last volume of three-dimensional contrast data in the M-volume three-dimensional contrast data can be directly used as the terminating volume three-dimensional contrast data. In another example, determining the terminating volume three-dimensional contrast data in the M-volume three-dimensional contrast data may include: obtaining the terminating volume three-dimensional contrast data based on the user's second input operation, and the user's second input operation is used to specify one volume of three-dimensional contrast data from the M-volume three-dimensional contrast data as the terminating volume three-dimensional contrast data. In this example, the user specifies one volume from the M-volume three-dimensional contrast data as the terminating volume. Generally, the terminating volume three-dimensional contrast data can present that the contrast signal basically covers the entire tissue area of the target tissue.

[0045] In an embodiment of the present application, selecting one volume of three-dimensional contrast data from multiple volumes of three-dimensional contrast data as a single-volume target three-dimensional contrast data may include: using the terminating volume three-dimensional contrast data in the M-volume three-dimensional contrast data as the single-volume target three-dimensional contrast data. Since the terminating volume three-dimensional contrast data generally can present that the contrast signal basically covers the entire tissue area of the target tissue, therefore, selecting the terminating volume three-dimensional contrast data as the single-volume target three-dimensional contrast data for subsequent rendering can relatively completely present the contrast agent perfusion process.

[0046] In an embodiment of the present application, a correspondence between the time when the contrast signal appears and the color value is pre-created, where the color can be a non-hue color model such as RGB, YUV, etc., to reflect the three-dimensional sense and signal strength (hue-based colors only have color differences, without saturation differences and brightness differences). In addition, the correspondence may further include the correspondence between the signal intensity value reflecting the contrast signal and the color value, and this correspondence can be shown as formula (1):

[0047] Color Tc,render = Table(Time,Value) Formula (1)

[0048] where, Color Tc,render is the index color value of non-hue types such as RGB, YUV, etc., and the corresponding table Tc is a two-dimensional index table (such as Figure 5As shown in Figure 2), Value is the signal value of the three-dimensional angiography data, and Time is the time when the angiography signal first appears. Figure 5 As shown, the horizontal direction is related to the moment when the contrast signal first appears, and different moments correspond to different colors. The vertical direction is related to the signal intensity value of the contrast signal. The larger the signal intensity value, the brighter the color, and the smaller the signal intensity value, the darker the color. Since the more and brighter the contrast microbubbles, such a corresponding relationship can make the rendered image more three-dimensional.

[0049] In an embodiment of the present application, based on the corresponding time of each volume in N volumes of three-dimensional angiography data, at least reflecting the corresponding relationship between the time when the angiography signal first appears and the color value, and the voxel points and / or their positions obtained in each volume of the N volumes of three-dimensional angiography data, a single volume of target three-dimensional angiography data is rendered, which can include surface rendering, volume rendering, or a combination thereof. Among them, surface rendering extracts the isosurface (i.e., surface contour) information of the tissue / organ in the volume data - the normal vector and vertex coordinates of the triangular facets, establishes a triangular mesh model, and then combines it with the illumination model (including ambient light, scattered light, highlights, etc., different light source parameters) for stereo rendering, wherein the illumination model includes ambient light, scattered light, highlights, etc. Different light source parameters (type, direction, position, angle) will affect the effect of the illumination model to varying degrees, and a VR (VolumeRender) rendering image can be obtained. Volume rendering emits multiple rays that pass through the three-dimensional imaging data based on the line of sight. Each ray advances at a fixed step size, samples the three-dimensional imaging data on the ray path, calculates the color and transparency of each sampling point, and then accumulates the color and transparency on each ray path. Finally, the accumulated value is mapped to each pixel of the 2D image to obtain a VR (Volume Render) rendering.

[0050] In an embodiment of the present application, during the rendering process, voxel points in a single volume of target three-dimensional angiography data where the angiography signal has not yet appeared for the first time are not rendered or are rendered in a manner different from the color value in the corresponding relationship. This allows the positions where the contrast agent has not yet appeared to be distinguished from the positions where the contrast agent has appeared, thereby highlighting the perfusion status of the contrast agent.

[0051] In one example, rendering in a manner different from the color value in the correspondence between the time when the contrast agent first appears and the color value includes rendering in a manner of outlining the edge. In this example, for the position where the contrast agent has first appeared, the color value in the correspondence is rendered, and for the position where the contrast agent has not yet arrived, the edge outline of the tissue position is outlined, such as Figure 6 As shown, it is easy to distinguish the position where the contrast agent has not appeared from the position where the contrast agent has appeared.

[0052] In another example, rendering is performed in a manner different from the color value in the correspondence relationship reflecting the moment of the first appearance of the contrast signal, including: rendering with a preset color value. In this example, for the positions where the contrast agent has appeared for the first time, rendering is performed with the color value in the correspondence relationship, and for the positions where the contrast agent has not yet arrived, rendering is performed with a preset color value (a color value different from the color value in the correspondence relationship). As Figure 7 shown, the positions where the contrast agent has not yet arrived appear gray, and the positions where the contrast agent has appeared for the first time appear in color, so that it is easy to distinguish the positions where the contrast agent has not yet appeared from the positions where the contrast agent has appeared.

[0053] In yet another example, rendering is performed in a manner different from the color value in the correspondence relationship reflecting the moment of the first appearance of the contrast signal, including: rendering with a preset opacity value. In this example, for the positions where the contrast agent has appeared for the first time, rendering is performed with the color value in the correspondence relationship, and for the positions where the contrast agent has not yet arrived, rendering is performed with the preset opacity. In this way, the positions where the contrast agent has appeared for the first time appear in color, and the positions where the contrast agent has not yet arrived appear with a certain opacity, so that it is easy to distinguish the positions where the contrast agent has not yet appeared from the positions where the contrast agent has appeared.

[0054] In still another example, for the voxel points in the single-volume target three-dimensional contrast data where the contrast signal has not yet appeared for the first time, rendering may not be performed either. As Figure 8 shown, for the positions where the contrast agent has appeared for the first time, rendering is performed with the color value in the correspondence relationship, and for the positions where the contrast agent has not yet arrived, no rendering is presented. In this way, it is easy to distinguish the positions where the contrast agent has not yet appeared from the positions where the contrast agent has appeared. Finally, a schematic diagram of the contrast agent reaching each position in the tissue is shown as Figure 9 shown.

[0055] The above has described the contrast-enhanced ultrasound imaging method 300 according to an embodiment of the present application by way of example. Based on the above description, the contrast-enhanced ultrasound imaging method 300 of the embodiments of the present application can observe the dynamic perfusion process on a single-volume contrast image and can realize the quantitative display of the arrival time of the contrast agent by different pseudo-color coding of the arrival time of the contrast agent. In addition, since the dynamic perfusion process is observed on a single-volume contrast image, the doctor does not need to observe multiple volumes of three-dimensional contrast data before and after, nor does he need to select a frame of three-dimensional contrast data with a relatively complete shape for the output of the diagnostic report. Instead, the single-volume contrast image can be directly used for diagnosis and the output of the diagnostic report, which greatly saves the operation time and improves the user experience.

[0056] Figure 10 FIG. shows a schematic flowchart of a contrast-enhanced ultrasound imaging method 1000 according to another embodiment of the present application. As Figure 10As shown, the contrast-enhanced ultrasound imaging method 1000 may include the following steps:

[0057] In step S1010, obtain multi-volume three-dimensional contrast data of the target tissue of the target object.

[0058] In step S1020, select one volume of three-dimensional contrast data from the multi-volume three-dimensional contrast data as the single-volume target three-dimensional contrast data.

[0059] In step S1030, render the single-volume target three-dimensional contrast data to obtain multiple frames of rendered images.

[0060] In step S1040, play and display the multiple frames of rendered images to dynamically present the perfusion effect of the contrast agent with different colors that appear successively in at least a partial area of the target tissue in the single-volume target three-dimensional contrast data, where the different color values corresponding to the pixel points in the multiple frames of rendered images and the time sequence of the appearance of the different color values characterize the time sequence of the first appearance of the contrast signal at the pixel points. Among them, the tissue structures of the target tissue presented in different frames of the multiple frames of rendered images are either the tissue structures corresponding to all the data of the single-volume target three-dimensional contrast data, or the tissue structures of the target tissue presented in different frames of the rendered images increase with time.

[0061] The contrast-enhanced ultrasound imaging method 1000 according to the embodiment of the present application is similar to the contrast-enhanced ultrasound imaging method 300 described above. Both can observe the dynamic perfusion process on a single-volume volumetric contrast image and can quantitatively display the arrival time of the contrast agent by different pseudo-color coding of the arrival time of the contrast agent. However, the contrast-enhanced ultrasound imaging method 300 details the internal algorithm steps, while the contrast-enhanced ultrasound imaging method 1000 focuses on the content shown and involves less internal algorithms.

[0062] The description here that "the tissue structures of the target tissue presented in different frames of the multiple frames of rendered images are all the tissue structures corresponding to all the data of the single-volume target three-dimensional contrast data" corresponds to the description in the contrast-enhanced ultrasound imaging method 300 above that "during the rendering process, for the voxel points in the single-volume target three-dimensional contrast data where the contrast signal has not yet first appeared, they are rendered in a manner different from the color values in the corresponding relationship", that is, the tissue data corresponding to the single-volume target three-dimensional contrast data can display the whole picture of the tissue at the beginning, because the tissue positions where the contrast signal has not yet first appeared are still rendered and displayed, only in a manner different from the color values in the aforementioned corresponding relationship (the corresponding relationship between the time of the first appearance of the contrast signal and the color value). This is a way to differentially display the positions where the contrast agent has not yet appeared and the positions where the contrast agent has already appeared.

[0063] The "increase in the tissue structure of the target tissue presented by the rendered images of different frames over time" described herein corresponds to the "in the rendering process, for the voxel points in the single-volume target three-dimensional contrast data where the contrast signal has not yet first appeared, no rendering is performed", that is, the tissue data corresponding to the single-volume target three-dimensional contrast data cannot initially display the entire tissue, because the tissue positions where the contrast signal has not yet first appeared are still not rendered and not displayed, and with the appearance of the contrast agent, rendering and display will be performed based on the aforementioned corresponding relationship (the corresponding relationship between the time of the first appearance of the contrast signal and the color value). This is another way to differentially display the positions where the contrast agent has not yet appeared and the positions where the contrast agent has already appeared.

[0064] In an embodiment of the present application, before displaying the rendered image, the method further includes: obtaining a user input, where the user input is used to specify a volume of three-dimensional contrast data from multiple volumes of three-dimensional contrast data as the single-volume target three-dimensional contrast data. In this embodiment, the single-volume target three-dimensional contrast data for rendering can be a volume specified by the user, which was also involved in the previous embodiments and will not be elaborated here.

[0065] In an embodiment of the present application, the single-volume target three-dimensional contrast data can be a volume of three-dimensional contrast data from the m-th volume to the M-th volume among multiple volumes of three-dimensional contrast data, where M is the total number of volumes of the multiple volumes of three-dimensional contrast data, and the value of m is 90% * N. This embodiment provides an exemplary way to select the single-volume target three-dimensional contrast data, which was also involved in the previous embodiments and will not be elaborated here. Generally, the single-volume target three-dimensional contrast data can present that the contrast agent basically covers the entire area of the target tissue.

[0066] In an embodiment of the present application, the perfusion effect of the contrast agent is dynamically presented by different colors that appear successively in at least a partial area of the target tissue in the single-volume target three-dimensional contrast data, including: for the positions in the single-volume target three-dimensional contrast data where the contrast agent has appeared, display based on the color value, and the color value is at least in correspondence with the time of the first appearance of the contrast agent; for the positions in the single-volume target three-dimensional contrast data where the contrast agent has not yet appeared, do not display, or display in a manner other than the color value in the corresponding relationship. This is a specific implementation way to differentially display the positions where the contrast agent has not yet appeared and the positions where the contrast agent has already appeared. For example, the display in a manner other than the color value in the corresponding relationship includes: displaying in the way of outlining the edge contour; and / or, displaying with a preset color value; and / or, displaying with a preset opacity value. This was also involved in the previous embodiments and will not be elaborated here.

[0067] Based on the above description, the contrast-enhanced ultrasound imaging method 1000 according to the embodiments of the present application can observe the dynamic perfusion process on a single-volume contrast-enhanced image, and can achieve quantitative display of the arrival time of the contrast agent by using different pseudo-color coding for the arrival time of the contrast agent. In addition, since the dynamic perfusion process is observed on a single-volume contrast-enhanced image, doctors do not need to observe multiple volumes of three-dimensional contrast data before and after, nor do they need to select a frame of three-dimensional contrast data with a relatively complete morphology for the output of the diagnostic report. Instead, they can directly use this single-volume contrast-enhanced image for diagnosis and the output of the diagnostic report, which greatly saves operation time and improves the user experience.

[0068] Figure 11 FIG. shows a schematic flowchart of a contrast-enhanced ultrasound imaging method 1100 according to another embodiment of the present application. As Figure 11 shown, the contrast-enhanced ultrasound imaging method 1100 may include the following steps:

[0069] In step S1110, obtain M volumes of three-dimensional contrast data of the target tissue of the target object, where different three-dimensional contrast data correspond to different times, and M is an integer greater than or equal to 2.

[0070] In step S1120, based on N volumes of the M volumes of three-dimensional contrast data, obtain the voxel points corresponding to the tissue regions where the contrast signal first appears in each of the N volumes of three-dimensional contrast data at their corresponding times, where N is an integer greater than or equal to 2 and less than or equal to M.

[0071] In step S1130, select one volume of three-dimensional contrast data from the M volumes of three-dimensional contrast data as the single-volume target three-dimensional contrast data.

[0072] In step S1140, based on the corresponding times of each of the N volumes of three-dimensional contrast data, and the voxel points and / or their positions obtained from each of the N volumes of three-dimensional contrast data, render the single-volume target three-dimensional contrast data to obtain N rendered images, where the i-th rendered image is rendered based on the first volume to the i-th volume of the N volumes of three-dimensional contrast data, and i is an integer greater than or equal to 1 and less than or equal to N.

[0073] In step S1150, play the N rendered images to display the chronological order of the appearance of the rendered color in the tissue regions of the target tissue in the single-volume target three-dimensional contrast data, so as to dynamically present the chronological order of the appearance of the contrast signal in the tissue regions of the target tissue for the first time.

[0074] The contrast-enhanced ultrasound imaging method 1100 according to an embodiment of the present application is generally similar to the contrast-enhanced ultrasound imaging method 300 described above. Both can observe the dynamic perfusion process on a single-volume contrast-enhanced image. The difference lies in that the contrast-enhanced ultrasound imaging method 300 encodes the arrival time of the contrast agent through different pseudo-colors, while the contrast-enhanced ultrasound imaging method 1100 reflects the contrast agent perfusion process through the time sequence of the same rendering color in the tissue region of the target tissue. Therefore, the contrast-enhanced ultrasound imaging method 1100 according to an embodiment of the present application can observe the dynamic perfusion process on a single-volume contrast-enhanced image. Since the dynamic perfusion process is observed on a single-volume contrast-enhanced image, the doctor does not need to observe multiple volumes of three-dimensional contrast data before and after, nor does he need to select a frame of three-dimensional contrast data with a relatively complete morphology for the output of the diagnostic report. Instead, the single-volume contrast-enhanced image can be directly used for diagnosis and the output of the diagnostic report, which greatly saves the operation time and improves the user experience.

[0075] Figure 12 FIG. shows a schematic flowchart of a contrast-enhanced ultrasound imaging method 1200 according to another embodiment of the present application. As Figure 12 shown, the contrast-enhanced ultrasound imaging method 1200 may include the following steps:

[0076] In step S1210, M volumes of three-dimensional contrast data of the target tissue of the target object are acquired. Different three-dimensional contrast data correspond to different times, and M is an integer greater than or equal to 2.

[0077] In step S1220, based on N volumes of the M volumes of three-dimensional contrast data, the voxel points where the contrast signal appears and / or their positions in the N volumes of three-dimensional contrast data are obtained, and the three-dimensional contrast data volume corresponding to each voxel point when the contrast signal first appears is determined, and the time corresponding to the volume is used as the time when the contrast signal first appears at the voxel point, where N is an integer greater than or equal to 2 and less than or equal to M.

[0078] In step S1230, one volume of three-dimensional contrast data is selected from the M volumes of three-dimensional contrast data as the single-volume target three-dimensional contrast data.

[0079] In step S1240, based on the voxel points where the contrast signal appears and / or their positions in the N volumes of three-dimensional contrast data, the time when each voxel point first appears the contrast signal, and at least the correspondence between the time when the contrast signal first appears and the color value, the single-volume target three-dimensional contrast data is rendered to obtain N rendered images, where the i-th rendered image is rendered based on the first volume to the i-th volume of the N volumes of three-dimensional contrast data, and i is an integer greater than or equal to 1 and less than or equal to N.

[0080] In step S1250, N frames of rendered images are played to display the chronological order in which different colors appear in the tissue region of the target tissue in a single volume of target three-dimensional contrast data, thereby dynamically presenting the chronological order in which the tissue region of the target tissue first appears with contrast signals.

[0081] The contrast-enhanced ultrasound imaging method 1200 according to an embodiment of the present application is generally similar to the contrast-enhanced ultrasound imaging method 300 described above. Both can observe the dynamic perfusion process on a single volume of contrast-enhanced images. The difference is that: the contrast-enhanced ultrasound imaging method 300 determines the position where the contrast signal first appears at the corresponding moment based on each volume of three-dimensional contrast data, and then renders the corresponding position in the single volume of target three-dimensional contrast data with the corresponding color at the corresponding moment; while the contrast-enhanced ultrasound imaging method 1200 determines the moment when the contrast signal first appears at each position based on the positions where the contrast signals appear in each volume of three-dimensional contrast data, and then renders the corresponding position in the single volume of target three-dimensional contrast data with the corresponding color at the corresponding moment. Therefore, the contrast-enhanced ultrasound imaging method 1200 and the contrast-enhanced ultrasound imaging method 300 are slightly different in the internal algorithm, but ultimately both can observe the dynamic perfusion process on a single volume of contrast-enhanced images, and both can achieve the quantitative display of the arrival time of the contrast agent by encoding the arrival time of the contrast agent with different pseudo-colors. In addition, since the dynamic perfusion process is observed on a single volume of contrast-enhanced images, it enables the doctor to directly use this single volume of contrast-enhanced image for diagnosis and the output of the diagnosis report without observing multiple volumes of three-dimensional contrast data before and after, nor selecting a frame of three-dimensional contrast data with a relatively complete shape for the output of the diagnosis report, greatly saving the operation time and improving the user experience. The effect diagram is as Figure 4 shown.

[0082] In the embodiment of the present application, obtaining M volumes of three-dimensional contrast data of the target tissue of the target object in step S1210 may include: obtaining a video stream of three-dimensional contrast data of the target tissue of the target object, and obtaining at least two volumes of three-dimensional contrast data from the video stream of three-dimensional contrast data as M volumes of three-dimensional contrast data. The N volumes of three-dimensional contrast data are obtained in the following manner: determining the starting volume of three-dimensional contrast data and the ending volume of three-dimensional contrast data in the M volumes of three-dimensional contrast data, and obtaining at least two volumes of three-dimensional contrast data from the starting volume of three-dimensional contrast data to the ending volume of three-dimensional contrast data as N volumes of three-dimensional contrast data. Therefore, the N volumes of three-dimensional contrast data may be all the data of the M volumes of three-dimensional contrast data or part of the data of the M volumes of three-dimensional contrast data.

[0083] In one example, determining the starting volume three-dimensional contrast data in the M-volume three-dimensional contrast data may include: using the first volume three-dimensional contrast data in the M-volume three-dimensional contrast data as the starting volume three-dimensional contrast data. In this example, the first volume in the M-volume three-dimensional contrast data may be used as the starting volume. In another example, determining the starting volume three-dimensional contrast data in the M-volume three-dimensional contrast data may include: obtaining the starting volume three-dimensional contrast data based on the user's first input operation, where the user's first input operation is used to specify one volume of three-dimensional contrast data from the M-volume three-dimensional contrast data as the starting volume three-dimensional contrast data. In this example, the user specifies one volume from the M-volume three-dimensional contrast data as the starting volume. Generally, there should already be the appearance of contrast signals in the starting volume three-dimensional contrast data.

[0084] In one example, determining the ending volume three-dimensional contrast data in the M-volume three-dimensional contrast data may include: using one volume of three-dimensional contrast data from the m-th volume to the M-th volume in the M-volume three-dimensional contrast data as the ending volume three-dimensional contrast data, where m is an integer close to 90% * M. Assume M is equal to 50, that is, the ending volume in the 50 volumes of three-dimensional contrast data may be one of the volumes from the 45th volume to the 50th volume. Generally, the volume at this position is close to the last volume, so generally the contrast agent has appeared at various positions in the target tissue. Therefore, selecting the volume at this position as the ending volume and combining the three-dimensional contrast data from the starting volume to the ending volume as the data support for subsequent rendering can already better reflect the contrast agent perfusion process. In a simpler example, the last volume three-dimensional contrast data in the M-volume three-dimensional contrast data may be directly used as the ending volume three-dimensional contrast data. In another example, determining the ending volume three-dimensional contrast data in the M-volume three-dimensional contrast data may include: obtaining the ending volume three-dimensional contrast data based on the user's second input operation, where the user's second input operation is used to specify one volume of three-dimensional contrast data from the M-volume three-dimensional contrast data as the ending volume three-dimensional contrast data. In this example, the user specifies one volume from the M-volume three-dimensional contrast data as the ending volume. Generally, the ending volume three-dimensional contrast data can present that the contrast signals basically cover the entire tissue area of the target tissue.

[0085] In an embodiment of the present application, selecting one volume of three-dimensional contrast data from multiple volumes of three-dimensional contrast data as a single-volume target three-dimensional contrast data may include: using the ending volume three-dimensional contrast data in the M-volume three-dimensional contrast data as the single-volume target three-dimensional contrast data. Since the ending volume three-dimensional contrast data generally can present that the contrast signals basically cover the entire tissue area of the target tissue, therefore, selecting the ending volume three-dimensional contrast data as the single-volume target three-dimensional contrast data for subsequent rendering can more completely present the contrast agent perfusion process.

[0086] In the embodiments of the present application, a correspondence between the moment when a contrast signal appears and a color value is pre-created. The color can be a non-hue color model such as RGB or YUV to reflect the three-dimensional sense and signal strength (hue-based colors only have color differences, without saturation and brightness differences). In addition, this correspondence can also include the correspondence between the signal intensity value reflecting the contrast signal and the color value, and this correspondence can be shown as in formula (1):

[0087] Color Tc,render = Table(Time,Value) Formula (1)

[0088] Wherein, Color Tc,render is the index color value of non-hue types such as RGB and YUV. The corresponding table Tc is a two-dimensional index table (as shown in Figure 5 ), Value is the signal value of the three-dimensional contrast data, and Time is the moment when the contrast signal first appears. As shown in Figure 5 , the horizontal direction is related to the moment when the contrast signal first appears, and different moments correspond to different colors. The vertical direction is related to the signal intensity value of the contrast signal. The greater the signal intensity value, the brighter the color, and the smaller the signal intensity value, the darker the color. Since more contrast microbubbles mean brighter colors, such a correspondence can make the rendered image more three-dimensional.

[0089] In the embodiments of the present application, based on the voxel points where the contrast signal appears and / or their positions in N volumes of three-dimensional contrast data, the moment when each voxel point first appears the contrast signal, and at least the correspondence between the moment when the contrast signal first appears and the color value, a single volume of target three-dimensional contrast data is rendered to obtain N frames of rendered images, including: establishing a voxel point library to be assigned values based on the voxel points where the contrast signal appears and / or their positions in N volumes of three-dimensional contrast data; traversing N volumes of three-dimensional contrast data and performing the following operations: for each volume of three-dimensional contrast data, determining the voxel points where the contrast signal first appears and / or their positions, and assigning the moment corresponding to this volume of three-dimensional contrast data to the voxel points and / or their positions in the voxel point library; based on the assigned voxel point library and at least the correspondence between the moment when the contrast signal first appears and the color value, rendering a single volume of target three-dimensional contrast data to obtain N frames of rendered images.

[0090] In this embodiment, the voxel point library is equivalent to a volume of temporal data. Since the position of each voxel point therein corresponds to the voxel point position in N volumes of three-dimensional contrast data, the value assigned to the position of each voxel point is a temporal data, that is, the moment when the contrast signal first appears at the voxel point position. Specifically, in the embodiment of the present application, for each volume of three-dimensional contrast data, the voxel points and / or their positions where the contrast signal first appears are determined, and the moment corresponding to the volume of three-dimensional contrast data is assigned to the voxel points and / or their positions in the voxel point library, including: for the position correspondence between each volume of three-dimensional contrast data and the voxel point library, for the positions in a volume of three-dimensional contrast data where the contrast signal is greater than the threshold: when the corresponding position in the voxel point library has not been assigned temporal data, the temporal data corresponding to the moment of the volume of three-dimensional contrast data is assigned to the corresponding position; when the corresponding position in the three-dimensional data to be assigned has already been assigned temporal data, the corresponding position retains the already assigned temporal data. Based on this, a volume of temporal data, that is, the voxel point library, can be obtained. Based on this voxel point library and the correspondence relationship between at least the moment when the contrast signal first appears and the color value, a single volume of target three-dimensional contrast data can be rendered, such as surface rendering or volume rendering. Hereinafter, volume rendering will be used as an example for description.

[0091] In the embodiment of the present application, the volume rendering specifically may include: stepping the time parameter from the start moment corresponding to the start volume of three-dimensional contrast data to the end moment corresponding to the end volume of three-dimensional contrast data; as the time parameter steps, rendering the end volume of three-dimensional contrast data to obtain respective corresponding rendered images at multiple different time parameters, so as to obtain N frames of rendered images; wherein, at one of the multiple different time parameters, multiple rays pass through the end volume of three-dimensional contrast data, and for each ray: mapping the sampling points in the stepping process of the ray to the voxel point library to obtain the corresponding temporal data; when the corresponding temporal data is less than or equal to a time parameter, obtaining the color value of the sampling point from the correspondence relationship between at least the moment when the contrast signal first appears and the color value; when the corresponding temporal data is greater than a time parameter, setting the color value of the sampling point to a preset color value; fusing the color value of each sampling point with its own opacity value to obtain the fusion result of each sampling point, and accumulating the fusion results of all sampling points on the ray to obtain the pixel value of the pixel point corresponding to the ray in the rendered image; after obtaining the pixel values of all pixel points in the rendered image, the rendering of the end volume data at one time parameter is completed. In this way, rendered images at different time parameters can be obtained. Such as Figures 13 to 16 is an image in dynamic rendering (taking the fallopian tube as an example), where Figure 13 is the rendered image corresponding to the start moment of the start volume, and at this time the contrast agent has not been perfused; Figure 14 is the rendered image when the contrast agent reaches the left side of the fallopian tube; Figure 15 is the rendered image when the contrast agent reaches the right side of the fallopian tube;Figure 16 It is the rendered image corresponding to the moment of the termination volume (single-volume target volume).

[0092] In the embodiments of the present application, during the rendering process, for the voxel points in the single-volume target three-dimensional contrast data where the contrast signal has not yet first appeared, they are not rendered or are rendered in a manner different from the color values in the corresponding relationship. In this way, the positions where the contrast agent has not yet appeared can be distinguished from the positions where the contrast agent has appeared, highlighting the perfusion state of the contrast agent. In Figures 13 to 16 the example of , the voxel points where the contrast signal has not yet first appeared are rendered in a manner different from the color values in the corresponding relationship.

[0093] In one example, rendering in a manner different from the color values in the corresponding relationship reflecting the moment of the first appearance of the contrast signal and the color values includes: rendering in a manner of outlining the edge contour. In this example, for the positions where the contrast agent has already first appeared, they are rendered with the color values in the corresponding relationship, and for the positions where the contrast agent has not yet reached, the edge contour of the tissue position is outlined, as Figure 6 shown, so that it is easy to distinguish the positions where the contrast agent has not yet appeared from the positions where the contrast agent has appeared.

[0094] In another example, rendering in a manner different from the color values in the corresponding relationship reflecting the moment of the first appearance of the contrast signal and the color values includes: rendering with a preset color value. In this example, for the positions where the contrast agent has already first appeared, they are rendered with the color values in the corresponding relationship, and for the positions where the contrast agent has not yet reached, they are rendered with a preset color value (a color value different from the color values in the corresponding relationship), as Figure 7 shown, the positions where the contrast agent has not yet reached appear gray, and the positions where the contrast agent has already first appeared appear in color, so that it is easy to distinguish the positions where the contrast agent has not yet appeared from the positions where the contrast agent has appeared.

[0095] In yet another example, rendering in a manner different from the color values in the corresponding relationship reflecting the moment of the first appearance of the contrast signal and the color values includes: rendering with a preset opacity value. In this example, for the positions where the contrast agent has already first appeared, they are rendered with the color values in the corresponding relationship, and for the positions where the contrast agent has not yet reached, they are rendered with a preset opacity. In this way, the positions where the contrast agent has already first appeared appear in color, and the positions where the contrast agent has not yet reached appear with a certain opacity, and it is easy to distinguish the positions where the contrast agent has not yet appeared from the positions where the contrast agent has appeared.

[0096] In yet another example, for the voxel points in the single-volume target three-dimensional contrast data where the contrast signal has not yet first appeared, they can also not be rendered, as Figure 8As shown, for the positions where the contrast agent has first appeared, they are rendered with the color values in the correspondence relationship, and the positions where the contrast agent has not yet arrived are not presented. In this way, it is easy to distinguish the positions where the contrast agent has not yet appeared from the positions where the contrast agent has appeared. Finally, the schematic diagram of the contrast agent reaching each position in the tissue is as Figure 9 shown.

[0097] The above has described by way of example the ultrasonic contrast imaging method 1200 according to an embodiment of the present application. Based on the above description, the ultrasonic contrast imaging method 1200 of the embodiment of the present application can observe the dynamic perfusion process on a single-volume contrast image, and can realize the quantitative display of the arrival time of the contrast agent by encoding the arrival time of the contrast agent with different pseudo-colors. In addition, since the dynamic perfusion process is observed on a single-volume contrast image, it enables the doctor to directly use this single-volume contrast image for diagnosis and the output of the diagnosis report without observing multiple volumes of three-dimensional contrast data before and after, nor selecting a frame of relatively complete three-dimensional contrast data for the output of the diagnosis report, greatly saving the operation time and improving the user experience.

[0098] Figure 17 The schematic flowchart of the ultrasonic contrast imaging method 1700 according to another embodiment of the present application is shown. As Figure 17 shown, the ultrasonic contrast imaging method 1700 may include the following steps:

[0099] In step S1710, obtain M volumes of three-dimensional contrast data of the target tissue of the target object. Different three-dimensional contrast data correspond to different times, and M is an integer greater than or equal to 2.

[0100] In step S1720, based on N volumes of the M volumes of three-dimensional contrast data, obtain a plurality of voxel points and / or their positions corresponding to the N volumes of three-dimensional contrast data, and determine the three-dimensional contrast data volume corresponding to each voxel point when the contrast signal first appears and use the time corresponding to this volume as the time when the contrast signal first appears for this voxel point, where N is an integer greater than or equal to 2 and less than or equal to M.

[0101] In step S1730, select one volume of three-dimensional contrast data from the M volumes of three-dimensional contrast data as the single-volume target three-dimensional contrast data.

[0102] In step S1740, based on the plurality of voxel points and / or their positions corresponding to the N volumes of three-dimensional contrast data, the time when each voxel point first appears the contrast signal, and at least the correspondence relationship between the time when the contrast signal first appears and the color value, render the single-volume target three-dimensional contrast data to obtain N rendered images, where the i-th rendered image is rendered based on the first volume to the i-th volume of the N volumes of three-dimensional contrast data, and i is an integer greater than or equal to 1 and less than or equal to N.

[0103] In step S1750, N rendered images are played to display the chronological order in which different colors appear in the tissue regions of the target tissue in a single-volume target three-dimensional contrast data, so as to dynamically present the chronological order in which the tissue regions of the target tissue first appear contrast signals.

[0104] The contrast-enhanced ultrasound imaging method 1700 according to the embodiments of the present application is generally similar to the contrast-enhanced ultrasound imaging method 1200 described above, and both can observe the dynamic perfusion process on a single-volume contrast image. The difference is that their internal algorithms are slightly different: in the contrast-enhanced ultrasound imaging method 1200, based on the positions where the contrast signals appear in each volume of three-dimensional contrast data, the moment when the contrast signal first appears at each position is determined, and then the corresponding positions in the single-volume target three-dimensional contrast data are rendered with the corresponding colors at the corresponding moments. In the contrast-enhanced ultrasound imaging method 1700, based on the voxel positions of each volume of three-dimensional contrast data (the voxel positions can be all the voxels corresponding to N volumes of three-dimensional contrast data, or the voxels where the contrast signals appear in N volumes of three-dimensional contrast data (this solution is the solution of method 1200)), the moment when the contrast signal first appears at each position is determined, and then the corresponding positions in the single-volume target three-dimensional contrast data are rendered with the corresponding colors at the corresponding moments. Therefore, the contrast-enhanced ultrasound imaging method 1700 can also achieve the same technical effects as the contrast-enhanced ultrasound imaging method 1200. Due to their similarity, the specific details of method 17?? are not described here again, and the specific details can be understood in combination with the description of method 1200 above.

[0105] Based on the above description, the contrast-enhanced ultrasound imaging method 1700 according to the embodiments of the present application can observe the dynamic perfusion process on a single-volume contrast image and can achieve quantitative display of the contrast agent arrival time by encoding the contrast agent arrival time with different pseudo-color codes. In addition, since the dynamic perfusion process is observed on a single-volume contrast image, the doctor does not need to observe multiple volumes of three-dimensional contrast data before and after, nor does he need to select a frame of three-dimensional contrast data with a relatively complete morphology for the output of the diagnostic report. Instead, the single-volume contrast image can be directly used for diagnosis and the output of the diagnostic report, which greatly saves the operation time and improves the user experience.

[0106] Figure 18 FIG. shows a schematic structural block diagram of a contrast-enhanced ultrasound imaging device 1800 according to an embodiment of the present application. As Figure 18As shown, the ultrasonic imaging device 1800 may include a transmitting and receiving circuit 1810, an ultrasonic probe 1820, a processor 1830, and a display 1840. Among them: the transmitting and receiving circuit 1810 is used to control the ultrasonic probe 1820 to emit ultrasonic waves to a target object, receive the echoes of the ultrasonic waves, and obtain ultrasonic echo data from the echoes; the processor 1830 is used to control the transmitting and receiving circuit, and obtain multi-volume three-dimensional contrast data of the target tissue of the target object based on the ultrasonic echo data, so as to execute the ultrasonic contrast imaging methods 300, 1000, 1100, 1200, or 1700 according to the embodiments of the present application to generate a rendered image presenting the dynamic perfusion effect of the contrast agent; the display 1840 is used to display the rendered image. The ultrasonic contrast imaging methods 300, 1000, 1100, 1200, and 1700 according to the embodiments of the present application have been described in detail above. Those skilled in the art can understand the structure and operation of the ultrasonic imaging device 1800 in combination with the foregoing description. For the sake of brevity, it will not be elaborated here.

[0107] In addition, according to an embodiment of the present application, a storage medium is further provided, on which program instructions are stored, and when the program instructions are run by a computer or a processor, they are used to execute the corresponding steps of the ultrasonic contrast imaging method according to the embodiment of the present application. 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 disc 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.

[0108] In addition, according to an embodiment of the present application, a computer program is further provided, and the computer program may be stored on a storage medium in the cloud or locally. When the computer program is run by a computer or a processor, it is used to execute the corresponding steps of the ultrasonic contrast imaging method according to the embodiment of the present application.

[0109] Based on the above description, the ultrasonic contrast imaging method and the ultrasonic imaging device according to the embodiments of the present application can observe the dynamic perfusion process on a single-volume contrast image, and can realize the quantitative display of the contrast agent arrival time by encoding the contrast agent arrival time with different pseudo-colors. In addition, since the dynamic perfusion process is observed on a single-volume contrast image, the doctor does not need to observe multi-volume three-dimensional contrast data before and after, nor does he need to select a frame of three-dimensional contrast data with a relatively complete morphology for the output of the diagnostic report. Instead, the single-volume contrast image can be directly used for diagnosis and the output of the diagnostic report, which greatly saves the operation time and improves the user experience.

[0110] 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. Those of ordinary skill in the art can make various changes and modifications therein 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 claimed in the appended claims.

[0111] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in connection with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0112] In 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 merely illustrative. For example, the division of units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed.

[0113] In the specification provided herein, a large number of specific details are set forth. However, it can be understood that the embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures, and technologies have not been shown in detail so as not to obscure the understanding of this specification.

[0114] Similarly, it should be understood that, in order to streamline the present invention and assist in understanding 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 construed as reflecting the intention that the claimed present invention requires more features than are expressly recited in each claim. Rather, as reflected by the corresponding claims, the inventive point lies in that the corresponding technical problems can be solved with fewer features than all the features of a single disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into the detailed description, where each claim itself serves as a separate embodiment of the present invention.

[0115] Those skilled in the art will appreciate that, except for features that are mutually exclusive, any combination can be used to combine all the features disclosed in this specification (including the accompanying claims, abstract, and drawings), as well as all the processes or units of any method or device so disclosed. Unless otherwise explicitly stated, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) can be replaced by an alternative feature that provides the same, equivalent, or similar purpose.

[0116] In addition, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments rather than other features, the combination of features of different embodiments means that it is within the scope of the present invention and forms different embodiments. For example, in the claims, any one of the claimed embodiments can be used in any combination.

[0117] Each component embodiment of the present invention can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or a digital signal processor (DSP) can be used in practice to implement some or all of the functions of some of the modules in the article analysis device according to the embodiments of the present invention. The present invention can also be implemented as a device program (for example, 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 can be stored on a computer-readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0118] It should be noted that the above embodiments illustrate the present invention rather than limit the present invention, and those skilled in the art can design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention can be implemented by means of hardware including several different elements and by means of a suitably programmed computer. In the unit claims listing several devices, several of these devices can be embodied by the same item of hardware. The use of the words first, second, and third, etc. does not denote any order. These words can be interpreted as names.

[0119] The above is only a specific implementation manner or an illustration of the specific implementation manner of the present invention. The protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. The protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An ultrasonic contrast imaging method, characterized in that, The method includes: Obtaining M volumes of three-dimensional contrast data of a target tissue of a target object, where different three-dimensional contrast data correspond to different moments, and M is an integer greater than or equal to 2; Based on N volumes among the M volumes of three-dimensional contrast data, obtaining voxel points and / or their positions corresponding to tissue regions where contrast signals first appear in each of the N volumes of three-dimensional contrast data at their corresponding moments, where N is an integer greater than or equal to 2 and less than or equal to M; Selecting one volume of the three-dimensional contrast data from the M volumes of three-dimensional contrast data as a single-volume target three-dimensional contrast data; Based on the corresponding moments of each of the N volumes of three-dimensional contrast data, at least reflecting the correspondence between the moment when the contrast signal first appears and the color value, and the voxel points and / or their positions obtained from each of the N volumes of three-dimensional contrast data, rendering the single-volume target three-dimensional contrast data to obtain N rendered images, where the i-th rendered image is rendered based on the first to the i-th volumes among the N volumes of three-dimensional contrast data, and i is an integer greater than or equal to 1 and less than or equal to N; Playing the N rendered images to display the chronological order of the appearance of different colors in the tissue regions of the target tissue in the single-volume target three-dimensional contrast data, thereby dynamically presenting the chronological order of the appearance of contrast signals in the tissue regions of the target tissue.

2. The method according to claim 1, wherein The obtaining of M volumes of three-dimensional contrast data of a target tissue of a target object includes: obtaining a video stream of three-dimensional contrast data of a target tissue of a target object, and obtaining at least two volumes of three-dimensional contrast data from the video stream of three-dimensional contrast data as the M volumes of three-dimensional contrast data; The N volumes of three-dimensional contrast data are obtained by the following method: determining a starting volume of three-dimensional contrast data and an ending volume of three-dimensional contrast data among the M volumes of three-dimensional contrast data, and obtaining at least two volumes of three-dimensional contrast data from the starting volume of three-dimensional contrast data to the ending volume of three-dimensional contrast data as the N volumes of three-dimensional contrast data.

3. The method according to claim 2, characterized in that The determining of the starting volume of three-dimensional contrast data among the M volumes of three-dimensional contrast data includes: Taking the first volume of three-dimensional contrast data among the M volumes of three-dimensional contrast data as the starting volume of three-dimensional contrast data; or, Obtaining the starting volume of three-dimensional contrast data based on a first input operation of a user, where the first input operation of the user is used to specify one volume of three-dimensional contrast data from the M volumes of three-dimensional contrast data as the starting volume of three-dimensional contrast data.

4. The method according to claim 2, wherein The determining of the ending volume of three-dimensional contrast data among the M volumes of three-dimensional contrast data includes: Taking one volume of three-dimensional contrast data from the m-th to the M-th volumes of three-dimensional contrast data among the M volumes of three-dimensional contrast data as the ending volume of three-dimensional contrast data, where m is an integer close to 90%*M; Or, obtaining the ending volume of three-dimensional contrast data based on a second input operation of a user, where the second input operation of the user is used to specify one volume of three-dimensional contrast data from the M volumes of three-dimensional contrast data as the ending volume of three-dimensional contrast data.

5. The method according to claim 4, wherein The ending volume of three-dimensional contrast data can present that the contrast signal basically covers the entire tissue region of the target tissue.

6. The method according to claim 2, wherein The selecting one volume of 3D imaging data from the multiple volumes of 3D imaging data as the single volume of target 3D imaging data includes: using the terminating volume of 3D imaging data in the M volumes of 3D imaging data as the single volume of target 3D imaging data.

7. The method according to claim 1, characterized in that During the rendering process, voxel points in the single volume of target three-dimensional angiography data where an angiography signal has not appeared for the first time are not rendered or are rendered in a manner different from the color value in the corresponding relationship.

8. The method according to claim 7, wherein The rendering in a manner different from the color value in the correspondence between the time when the contrast signal first appears and the color value includes: Rendered in a manner that outlines the edges; and / or Rendering with preset color values; and / or Renders at a preset opacity value.

9. The method according to any one of claims 1-8, characterized in that, The corresponding relationship between the time when the contrast signal first appears and the color value also includes the corresponding relationship between the signal intensity value of the contrast signal and the color value.

10. An ultrasonic contrast imaging method, characterized in that, The method comprises: Acquiring multi-volume three-dimensional angiographic data of a target tissue of a target object; Selecting one volume of three-dimensional imaging data from the multiple volumes of three-dimensional imaging data as a single volume of target three-dimensional imaging data; Rendering the single volume of target three-dimensional angiography data to obtain multiple frames of rendered images; Playing and displaying the multiple frames of rendered images to dynamically present the perfusion effect of the contrast agent by sequentially appearing different colors in at least a portion of the target tissue in the single volume of target three-dimensional angiography data, wherein the different color values corresponding to the pixels in the multiple frames of rendered images and the temporal sequence of appearance of the different color values represent the temporal sequence of first appearance of the contrast signal at the pixels; The tissue structures of the target tissue presented by different frames of rendered images in the multiple frames of rendered images are all tissue structures corresponding to all data of the single volume of target three-dimensional angiography data, or the tissue structures of the target tissue presented by the different frames of rendered images increase over time.

11. The method according to claim 10, wherein Before displaying the rendered image, the method further includes: A user input is obtained, where the user input is used to designate a volume of three-dimensional imaging data from the multiple volumes of three-dimensional imaging data as the single-volume target three-dimensional imaging data.

12. The method according to claim 10, wherein The single-volume target three-dimensional angiography data is a volume of three-dimensional angiography data from the mth to the Mth volumes of the multi-volume three-dimensional angiography data, where M is the total number of volumes of the multi-volume three-dimensional angiography data, and the value of m is 90%*N.

13. The method according to any one of claims 10 - 12, characterized in that, The single volume of target three-dimensional contrast data can show that the contrast agent substantially covers the entire area of the target tissue.

14. The method according to claim 10, wherein The dynamically presenting the perfusion effect of the contrast agent by using different colors that appear successively in at least a partial area of the target tissue in the single volume of target three-dimensional angiography data includes: For the position where the contrast agent has appeared in the single volume of target three-dimensional angiography data, display based on a color value, wherein the color value is at least in correspondence with the time when the contrast agent first appeared; Positions in the single-volume target three-dimensional angiography data where contrast agents have not appeared are not displayed, or are displayed in a manner other than the color value in the corresponding relationship.

15. The method according to claim 14, wherein The displaying in a manner other than based on the color value in the corresponding relationship includes: Display in the way of outlining the edge contour; and / or Display with a preset color value; and / or Display with a preset opacity value.

16. An ultrasonic contrast imaging method, characterized in that, The method includes: Obtain M-volume three-dimensional contrast data of the target tissue of the target object, where different three-dimensional contrast data correspond to different times, and M is an integer greater than or equal to 2; Based on N volumes of the M-volume three-dimensional contrast data, obtain the voxel points corresponding to the tissue regions where the contrast signal first appears in each of the N volumes of three-dimensional contrast data at their corresponding times, where N is an integer greater than or equal to 2 and less than or equal to M; Select one volume of the three-dimensional contrast data from the M-volume three-dimensional contrast data as the single-volume target three-dimensional contrast data; Based on the corresponding times of each of the N volumes of three-dimensional contrast data, and the voxel points and / or their positions obtained from each of the N volumes of three-dimensional contrast data, render the single-volume target three-dimensional contrast data to obtain N rendered images, where the i-th rendered image is rendered based on the first to the i-th volumes of the N volumes of three-dimensional contrast data, and i is an integer greater than or equal to 1 and less than or equal to N; Play the N rendered images to display the chronological order of the appearance of the rendered colors in the tissue regions of the target tissue in the single-volume target three-dimensional contrast data, so as to dynamically present the chronological order of the appearance of the contrast signal in the tissue regions of the target tissue for the first time.

17. An ultrasonic contrast imaging method, characterized in that, The method includes: Obtain M-volume three-dimensional contrast data of the target tissue of the target object, where different three-dimensional contrast data correspond to different times, and M is an integer greater than or equal to 2; Based on N volumes of the M-volume three-dimensional contrast data, obtain the voxel points and / or their positions where the contrast signal appears, and determine the volume of the three-dimensional contrast data corresponding to each voxel point when the contrast signal first appears, and use the time corresponding to that volume as the time when the voxel point first appears the contrast signal, where N is an integer greater than or equal to 2 and less than or equal to M; Select one volume of the three-dimensional contrast data from the M-volume three-dimensional contrast data as the single-volume target three-dimensional contrast data; Based on the voxel points and / or their positions where the contrast signal appears in the N volumes of three-dimensional contrast data, the time when each voxel point first appears the contrast signal, and at least the corresponding relationship between the time when the contrast signal first appears and the color value, render the single-volume target three-dimensional contrast data to obtain N rendered images, where the i-th rendered image is rendered based on the first to the i-th volumes of the N volumes of three-dimensional contrast data, and i is an integer greater than or equal to 1 and less than or equal to N; Play the N rendered images to display the chronological order of the appearance of different colors in the tissue regions of the target tissue in the single-volume target three-dimensional contrast data, so as to dynamically present the chronological order of the appearance of the contrast signal in the tissue regions of the target tissue for the first time.

18. According to the method of claim 17, wherein Obtaining the M - volume three - dimensional contrast data of the target tissue of the target object includes: obtaining the video stream of the three - dimensional contrast data of the target tissue of the target object, and obtaining at least two volumes of three - dimensional contrast data from the video stream of the three - dimensional contrast data as the M - volume three - dimensional contrast data; The N - volume three - dimensional contrast data is obtained by the following method: determining the starting - volume three - dimensional contrast data and the ending - volume three - dimensional contrast data in the M - volume three - dimensional contrast data, and obtaining at least two volumes of three - dimensional contrast data from the starting - volume three - dimensional contrast data to the ending - volume three - dimensional contrast data as the N - volume three - dimensional contrast data.

19. The method according to claim 17, characterized in that, Based on the voxel points and / or their positions where the contrast signal appears in the N - volume three - dimensional contrast data, the moment when each voxel point first appears the contrast signal, and at least the correspondence relationship between the moment when the contrast signal first appears and the color value, rendering the single - volume target three - dimensional contrast data to obtain N rendered images, including: Establishing a voxel - point library to be assigned values based on the voxel points and / or their positions where the contrast signal appears in the N - volume three - dimensional contrast data; Traversing the N - volume three - dimensional contrast data and performing the following operations: for each volume of the three - dimensional contrast data, determining the voxel points and / or their positions where the contrast signal first appears, and assigning the time corresponding to this volume of the three - dimensional contrast data to the voxel points and / or their positions in the voxel - point library; Based on the voxel - point library after assignment and at least the correspondence relationship between the moment when the contrast signal first appears and the color value, rendering the single - volume target three - dimensional contrast data to obtain N rendered images.

20. The method according to claim 19, wherein The step of, for each volume of the three - dimensional contrast data, determining the voxel points and / or their positions where the contrast signal first appears, and assigning the time corresponding to this volume of the three - dimensional contrast data to the voxel points and / or their positions in the voxel - point library includes: Regarding the position correspondence relationship between each volume of the three - dimensional contrast data and the voxel - point library, for the positions where the contrast signal in a volume of the three - dimensional contrast data is greater than the threshold: when the corresponding position in the voxel - point library has not been assigned time data, assigning the time data corresponding to this volume of the three - dimensional contrast data to the corresponding position; when the corresponding position in the three - dimensional data to be assigned has already been assigned time data, the corresponding position maintains the already - assigned time data.

21. The method according to claim 18, wherein The rendering includes volume rendering, and the volume rendering includes: Stepping the time parameter from the starting moment corresponding to the starting - volume three - dimensional contrast data to the ending moment corresponding to the ending - volume three - dimensional contrast data; As the time parameter steps, rendering the ending - volume three - dimensional contrast data to obtain multiple different rendered images corresponding to each of the time parameters respectively, so as to obtain the N rendered images; Wherein, at one of the multiple different time parameters, multiple rays pass through the ending - volume three - dimensional contrast data, and for each ray: Map the sampling points during the step-by-step process of the light ray to the voxel point library to obtain corresponding time data; when the corresponding time data is less than or equal to the one time parameter, obtain the color value of the sampling point from the correspondence relationship between the moment when the contrast signal first appears and the color value; when the corresponding time data is greater than the one time parameter, set the color value of the sampling point to a preset color value; fuse the color value of each sampling point with its own opacity value to obtain the fusion result of each sampling point, and accumulate the fusion results of all sampling points on the light ray to obtain the pixel value of the pixel point corresponding to the light ray in the rendered image; After obtaining the pixel values of all pixel points in the rendered image, the rendering of the rendered image of the termination volume data under the one time parameter is completed.

22. An ultrasonic contrast imaging method, characterized in that, The method includes: Obtain M-volume three-dimensional contrast data of the target tissue of the target object, where different three-dimensional contrast data correspond to different moments, and M is an integer greater than or equal to 2; Based on N volumes of the M-volume three-dimensional contrast data, obtain a plurality of voxel points corresponding to the N-volume three-dimensional contrast data and / or their positions, and determine the three-dimensional contrast data volume corresponding to each voxel point when the contrast signal first appears, and use the moment corresponding to this volume as the moment when the contrast signal first appears for this voxel point, where N is an integer greater than or equal to 2 and less than or equal to M; Select one volume of the three-dimensional contrast data from the M-volume three-dimensional contrast data as the single-volume target three-dimensional contrast data; Render the single-volume target three-dimensional contrast data based on the plurality of voxel points corresponding to the N-volume three-dimensional contrast data and / or their positions, the moment when each voxel point first appears the contrast signal, and at least the correspondence relationship between the moment when the contrast signal first appears and the color value, to obtain N rendered images, where the i-th rendered image is rendered based on the first volume to the i-th volume of the N-volume three-dimensional contrast data, and i is an integer greater than or equal to 1 and less than or equal to N; Play the N rendered images to display the time sequence of different colors appearing in the tissue region of the target tissue in the single-volume target three-dimensional contrast data, so as to dynamically present the time sequence of the contrast signal first appearing in the tissue region of the target tissue.

23. The method according to claim 22, wherein The plurality of voxel points are all voxel points corresponding to the N-volume three-dimensional contrast data.

24. The method according to claim 22 or 23, characterized in that, The rendering of the single-volume target three-dimensional contrast data based on the plurality of voxel points corresponding to the N-volume three-dimensional contrast data and / or their positions, the moment when each voxel point first appears the contrast signal, and at least the correspondence relationship between the moment when the contrast signal first appears and the color value, to obtain N rendered images, includes: Establish a voxel point library to be assigned based on the plurality of voxel points corresponding to the N-volume three-dimensional contrast data and / or their positions; Traverse the N volumes of three-dimensional contrast data and perform the following operations: For each volume of the three-dimensional contrast data, determine the voxel point and / or its position where the contrast signal first appears among the multiple voxel points, and assign the time corresponding to this volume of three-dimensional contrast data to the voxel point and / or its position in the voxel point library; Based on the assigned voxel point library and at least the correspondence between the time when the contrast signal first appears and the color value, render the single-volume target three-dimensional contrast data to obtain N frames of rendered images.

25. An ultrasonic imaging device, characterized in that, The device includes a transmitting and receiving circuit, an ultrasonic probe, a processor, and a display, where: The transmitting and receiving circuit is used to control the ultrasonic probe to emit ultrasonic waves to the target object, receive the echoes of the ultrasonic waves, and obtain ultrasonic echo data from the echoes; The processor is used to control the transmitting and receiving circuit, and obtain multiple volumes of three-dimensional contrast data of the target tissue of the target object based on the ultrasonic echo data, so as to execute the ultrasonic contrast imaging method according to any one of claims 1-24 to generate a rendered image presenting the dynamic perfusion effect of the contrast agent; The display is used to display the rendered image.

26. A storage medium, characterized in that, A computer program is stored on the storage medium. When the computer program is run by the processor, the processor is caused to execute the ultrasonic contrast imaging method according to any one of claims 1-24.

Images