CN111281423A - Ultrasonic image optimization method and ultrasonic imaging equipment - Google Patents
Ultrasonic image optimization method and ultrasonic imaging equipment Download PDFInfo
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Abstract
The invention discloses an ultrasonic image optimization method and ultrasonic imaging equipment, wherein the method comprises the following steps: transmitting ultrasonic waves to the target tissue and receiving ultrasonic echoes returned from the target tissue to obtain ultrasonic echo data; acquiring ultrasonic whole-field image data according to the ultrasonic echo data; positioning a target area from the whole ultrasonic field image data through image recognition; the image quality of the target area is adjusted so that the image quality of the target area satisfies the first condition. Therefore, after the target area is successfully positioned, the image quality of the target area can be adjusted, so that the image display effect of the target area in the ultrasonic whole field image data is improved.
Description
Technical Field
The present invention relates to ultrasound image processing technologies, and in particular, to an ultrasound image optimization method and an ultrasound imaging apparatus.
Background
In clinical diagnosis, real-time ultrasound imaging has been widely used; in the ultrasonic examination, due to the influence of factors such as the body type and the operation technique of a patient, an ultrasonic image obtained under the default condition may not be optimal, and a doctor needs to adjust a series of parameters to optimize the ultrasonic image; specifically, after the ultrasonic whole-field image data is acquired, the ultrasonic whole-field image data is analyzed, and parameters such as image gain and contrast are adjusted according to an analysis result; the ultrasonic image optimization method can only analyze and process the ultrasonic whole field image data, and does not highlight the key focus area of the ultrasonic image.
Disclosure of Invention
In order to solve the above technical problem, an embodiment of the present application provides an ultrasound image optimization method and an ultrasound imaging apparatus.
The embodiment of the application provides an ultrasonic image optimization method, which comprises the following steps:
transmitting ultrasonic waves to the target tissue and receiving ultrasonic echoes returned from the target tissue to obtain ultrasonic echo data;
acquiring ultrasonic whole-field image data according to the ultrasonic echo data;
positioning a target area from the whole ultrasonic field image data through image recognition;
and adjusting the image quality of the target area so that the image quality of the target area meets a first condition.
The embodiment of the present application further provides an ultrasound imaging apparatus, which includes:
a probe;
the transmitting circuit is used for exciting the probe to transmit ultrasonic waves to target tissues;
the receiving circuit is used for controlling the probe to receive the ultrasonic echo returned from the target tissue so as to obtain ultrasonic echo data;
the processor is used for obtaining ultrasonic whole-field image data according to the ultrasonic echo data; positioning a target area from the whole ultrasonic field image data through image recognition; and adjusting the image quality of the target area so that the image quality of the target area meets a first condition.
According to the technical scheme provided by the embodiment of the application, ultrasonic waves are transmitted to the target tissue, and ultrasonic echoes returned from the target tissue are received to obtain ultrasonic echo data; acquiring ultrasonic whole-field image data according to the ultrasonic echo data; positioning a target area from the whole ultrasonic field image data through image recognition; adjusting the image quality of the target area so that the image quality of the target area meets a first condition; therefore, after the target area is successfully positioned, the image quality of the target area can be adjusted, so that the image display effect of the target area in the ultrasonic whole field image data is improved.
Drawings
Fig. 1 is a schematic structural block diagram of an ultrasound imaging apparatus in an embodiment of the present application;
FIG. 2 is a flowchart of an ultrasound image optimization method according to an embodiment of the present application;
FIG. 3 is an ultrasound image without optimization in an embodiment of the present application;
fig. 4 is an ultrasound image of fig. 3 after optimization of the target area according to an embodiment of the present application.
Detailed Description
So that the manner in which the features and elements of the present embodiments can be understood in detail, a more particular description of the embodiments, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings.
Fig. 1 is a schematic structural block diagram of an ultrasound imaging apparatus in an embodiment of the present application. The ultrasound imaging device 10 may include a probe 100, a transmit circuit 101, a transmit/receive select switch 102, a receive circuit 103, a beam forming circuit 104, a processor 105, and a display 106. The transmit circuit 101 may excite the probe 100 to transmit ultrasound waves to the target tissue; the receiving circuit 103 may receive the ultrasonic echo returned from the target tissue through the probe 100, thereby obtaining an ultrasonic echo signal/data; the ultrasonic echo signals/data are subjected to beamforming processing by the beamforming circuit 104, and then sent to the processor 105. The processor 105 processes the ultrasound echo signals/data to obtain an ultrasound image of the target tissue. The ultrasound images obtained by the processor 105 may be stored in the memory 107. These ultrasound images may be displayed on the display 106.
In an embodiment of the present application, the display 106 of the ultrasonic imaging apparatus 10 may be a touch display screen, a liquid crystal display screen, or the like, or may be an independent display apparatus such as a liquid crystal display, a television, or the like, which is independent from the ultrasonic imaging apparatus 10, or may be a display screen on an electronic apparatus such as a mobile phone, a tablet computer, or the like.
In practical applications, the Processor 105 may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller, and a microprocessor, so that the Processor 105 may perform the corresponding steps of the ultrasound image optimization method in the embodiments of the present Application.
The Memory 107 may be a volatile Memory (volatile Memory), such as a Random Access Memory (RAM); or a non-volatile Memory (non-volatile Memory), such as a Read Only Memory (ROM), a flash Memory (flash Memory), a Hard Disk (Hard Disk Drive, HDD) or a Solid-State Drive (SSD); or a combination of the above types of memories and provides instructions and data to the processor.
Based on the ultrasonic imaging apparatus described above, the following embodiments are proposed.
Fig. 2 is a flowchart of an ultrasound image optimization method according to an embodiment of the present application, and as shown in fig. 2, the flowchart may include:
step 201: ultrasonic waves are transmitted to target tissue and ultrasonic echoes returned from the target tissue are received to obtain ultrasonic echo data.
The probe 100 is excited by the transmitting circuit 101 to transmit ultrasonic waves to the target tissue, and the probe 100 is controlled by the receiving circuit 103 to receive ultrasonic echoes returned from the target tissue to obtain ultrasonic echo signals/data.
In one embodiment, the emission waveform of the ultrasonic wave may be a sine wave, a square wave, a triangular wave, or the like, and in addition, since the attenuation of the low-frequency wave is small, the frequency of the ultrasonic wave may be a low frequency, so as to obtain a stronger ultrasonic echo.
Step 202: and obtaining the ultrasonic whole-field image data according to the ultrasonic echo data.
The processor 105 obtains ultrasound whole field image data from the ultrasound echo signals/data.
In specific implementation, the ultrasonic echo signals/data are sent to the processor 105 after being subjected to the beam forming process by the beam forming circuit 104, and the processor 105 processes the ultrasonic echo signals/data to obtain the ultrasonic whole field image data.
Further, the memory 107 may also be used to store the entire field of ultrasound image data.
The ultrasound whole field image data may be understood as one or more frames of ultrasound images obtained by an ultrasound imaging technique, and the ultrasound images may be two-dimensional B-mode ultrasound images.
Step 203: and locating a target area from the ultrasonic whole field image data through image recognition.
The processor 105 locates the target region from the entire field of image data of the ultrasound by image recognition.
In this embodiment, after acquiring the entire ultrasound field image data, the processor 105 may perform image recognition on the entire ultrasound field image data to realize positioning of the target region in the entire ultrasound field image data. The target region may be understood as a region of interest in the entire ultrasound field image data.
In a first implementation of locating the target region, the processor 105 may perform image recognition on the entire ultrasound field image data according to the determined examination mode information, and locate the target region based on the image recognition result.
The examination mode information may be used to indicate the kind of examination items that the patient needs to perform, and the target region for image recognition may be different for different examination items. For example, if the examination mode information is a thyroid examination mode, a thyroid region is identified from the ultrasound whole field image data according to the structural feature of the thyroid, and the thyroid region is located in the ultrasound whole field image data. For example, if the examination mode information is a cardiac examination mode, a cardiac region is identified from the whole ultrasound field image data based on structural features of the heart, enabling localization of the cardiac region in the whole ultrasound field image data.
In a second implementation of locating the target region, the processor 105 may perform image recognition on the entire ultrasound field of image data according to the medical record information, and locate the target region based on the image recognition result.
Here, the medical record information may include at least one of information on diagnosis and treatment of a disease state and a result of historical diagnosis and treatment; the disease diagnosis and treatment information and the historical diagnosis and treatment result may be information previously acquired by an operator, and the disease diagnosis and treatment information may include pathological characteristics of the patient and the like.
The pathological characteristics can be used for reflecting the current physical state of the patient, and the pathological characteristics of the patient can be obtained according to information such as medical history of the patient; the target region to be identified is different for diseases of different organs. For example, a region of a target tissue structure (e.g., thyroid or heart) can be identified based on a medical history of a lesion (e.g., goiter or myocardial infarction) in the medical history information. The mode of identifying the target area based on the medical record information can be combined with the identification mode of the inspection mode information, so that the accuracy of locating the target area can be improved, and the inspection working efficiency can also be improved.
The historical diagnosis and treatment results are used for representing diagnosis and treatment results obtained from the medical history of the patient, and when the diagnosis and treatment results are actually implemented, the target area of image recognition can be set in a targeted mode according to the historical diagnosis and treatment results. For example, a region of a target tissue structure (e.g., thyroid or heart) can be identified based on a historical focal phenomenon (e.g., goiter or myocardial infarction) in the historical diagnostic treatment results. The mode of identifying the target area based on the image identification of the historical diagnosis and treatment result can be combined with the identification mode of the inspection mode information, so that the accuracy of locating the target area can be improved, and the inspection working efficiency can also be improved.
In a third implementation manner of locating the target region, the processor 105 may perform image recognition on the entire ultrasound field image data according to a preset ultrasound image focus point, and locate the target region based on the image recognition result.
The attention point of the ultrasonic image can be preset by an operator, wherein the operator can be a doctor or other staff; in practical implementation, image recognition may be performed near the point of interest to locate the target region. For example, in a display interface of ultrasound whole field data, an operator may start a function of setting a focus point, click a key point or perform tracing on the display interface, perform image recognition based on a trajectory formed by the key point or the tracing, and automatically generate a target region.
In the embodiment of the present application, if the target region is unsuccessfully located, the ultrasound whole field image data may also be optimized, that is, under the condition that the target region is not located, the ultrasound whole field image data may be analyzed, and the gain and the contrast of the ultrasound whole field image data may be adjusted according to the analysis result, or parameters such as the ultrasound wave transmitting sound velocity may be adjusted to optimize the ultrasound whole field image data.
If the target area location is successful, step 204 may be performed.
Step 204: and adjusting the image quality of the target area so that the image quality of the target area meets a first condition.
The processor 105 adjusts the image quality of the target region such that the image quality of the target region satisfies a first condition.
For the implementation of this step, the processor 105 may be utilized to adjust the image parameters of the target region and/or the transmission parameters of the ultrasound probe, for example, so that the image quality of the target region satisfies the first condition. The first condition may include: adjusting the contrast and/or edge parameters of the target region to a first value; and/or adjusting ultrasound emission parameters (e.g., focus position, depth, scan range, speed of sound, etc.) to a second value. The first and second values may be preset or may be generated by intelligent data analysis (e.g., by analyzing a gray scale distribution of image data of the target region and/or a spectrum of image data of the target region).
In practical implementation, the processor 105 may analyze the image data of the target region according to the gray scale distribution of the target region and/or the frequency spectrum of the target region to obtain an analysis result of the image data of the target region, where the analysis result of the image data of the target region includes: at least one of gray-scale distribution information of the target region and a result of spectral analysis of the target region.
The processor 105 may adjust image parameters of the target region and/or ultrasound probe transmit parameters based on the analysis of the image data of the target region.
The adjustment of the gray-scale distribution can be understood with reference to the following manner: for example, if the gray levels of the image data of the target region are mainly distributed in the medium and high gray levels, a part of the low gray levels can be suppressed, and then the image gray levels are expanded, so that the effects of reducing noise and enhancing image contrast can be achieved. The manner of suppressing the low gray scale may be to modify the gray scale value to zero, which is not described in detail herein.
The adjustment to the spectral analysis can be understood with reference to the following: for example, if the spectral signal-to-noise ratio of the image data of the target region is low, the contrast and the smoothing effect of the image can be appropriately increased, and the effect of reducing the noise feeling can be achieved.
Here, the image parameter of the target region may include at least one of a contrast of the target region, an edge enhancement parameter, and an image smoothing parameter; for example, the contrast of the target region may be increased, the edge enhancement effect of the target region may be improved, or the image smoothing effect of the target region may be optimized by optimizing the contrast, the edge enhancement parameter, or the image smoothing parameter of the target region.
The ultrasonic probe emission parameters comprise at least one of focus position, focus number, scanning range, scanning depth, sound velocity and emission frequency; it can be understood that the mode of the ultrasonic probe for transmitting signals can be determined by the transmitting parameters of the ultrasonic probe, and the image data of the target area and the whole field of ultrasonic image data can be optimized by adjusting the transmitting parameters of the ultrasonic probe; in specific implementation, the processor 105 may adjust the focus position to the target area, so as to better achieve focusing on the target area, so as to improve the image resolution of the target area at the focus position; the processor 105 may adjust the number of focal points according to the target area to ensure that focus on the target area is achieved. Where the focus position and the number of focuses can be adjusted in coordination, for example, if the target area is not located at a certain focus position depth, but between two focus position depths, the number of focuses can be increased, focusing at both focus position depths. The processor 105 may adjust the scan range to ensure that the target region remains intact and is displayed in an easily viewable location (e.g., left and right locations in the ultrasound whole field image data), for example, by adjusting the angle of the extended imaging to change the scan range to ensure that the target region is displayed intact. The processor 105 can adjust the scanning depth, so that the scanning depth is matched with the distance from the target area to the probe, the imaging effect of the target area is enhanced, and the display range of the target area meets the ideal observation requirement; the processor 105 may adjust the sound velocity to match the adjusted sound velocity with the sound velocity of the target tissue, enhancing the imaging effect of the target region (e.g., improving the image resolution); processor 105 may also adjust the transmit frequency to enhance the imaging of the target area (e.g., increase image resolution).
The adjustment of the emission parameters of the ultrasound probe and the effects achieved are exemplarily described below.
In example 1, the processor 105 may adjust the focal position or the number of focal points of the ultrasonic probe according to the positioning result of the target region, so that the transmission signal of the ultrasonic probe can be better focused at the target region; the focus position and the focus number of the acoustic wave probe can be adjusted simultaneously, for example, if the target area is not located at the position depth of a certain focus but located between the position depths of two focuses, the focus number can be increased, the target area is focused, and the imaging effect of the target area is enhanced.
In example 2, the processor 105 may adjust a scanning range of the ultrasonic probe according to the positioning result of the target region, so as to improve an imaging effect of the target region; for example, when the target region is located at the edge of the ultrasound whole field image, the scanning range may be increased, or the scanning range may be changed by changing the scanning angle, so that the target region is displayed completely or the target region is located at the center of the ultrasound whole field image.
In example 3, the processor 105 may adjust the scanning depth of the ultrasonic probe according to the positioning result of the target region, so that the scanning depth of the ultrasonic probe matches the depth of the target region (the distance between the target region and the ultrasonic probe), and further, the imaging effect of the target region is improved; for example, when the depth of the target region indicates that the distance from the ultrasonic probe is short and the scanning depth of the ultrasonic probe is deep, the scanning depth of the ultrasonic probe can be reduced, so that the target region can be displayed larger and more completely.
In example 4, the processor 105 may adjust the sound velocity of the ultrasonic probe according to the sound velocity of the target region, so that the emission sound velocity of the ultrasonic probe matches the sound velocity of the target region, and the display effect of the target region may be improved.
In example 5, the processor 105 may adjust the transmitting frequency of the ultrasonic probe after locating the target region, so as to improve the imaging effect of the ultrasonic probe; for example, the transmitting frequency of the ultrasonic probe can be increased, so that an ultrasonic image with richer details can be acquired.
It can be seen that, in the embodiment of the present application, the processor 105 may perform image optimization on the target region after the target region is successfully located, so as to improve the image quality of the target region and improve the effect of ultrasound image optimization; in addition, the image optimization is carried out on the target area, so that the operation steps of a doctor can be reduced, and the diagnosis confidence and the working efficiency of the doctor are improved.
Further, when the target area is successfully located, the processor 105 may further analyze the entire ultrasound field image data according to gray scale distribution of the entire ultrasound field image data and/or a frequency spectrum of the entire ultrasound field image data to obtain an analysis result of the entire ultrasound field image data, and adjust an image parameter of the entire ultrasound field image data and/or an ultrasonic probe transmission parameter according to the analysis result of the entire ultrasound field image data; the analysis result of the ultrasonic whole field image data comprises the following steps: at least one of gray scale distribution information of the ultrasound whole field image data and a spectrum analysis result of the ultrasound whole field image data. The adjustment of the gray-scale distribution can be understood with reference to the following manner: for example, if the gray levels of the ultrasound whole field image data are mainly distributed in the medium and high gray levels, a part of the low gray levels can be suppressed, and then the image gray levels are expanded, so that the effects of reducing noise and enhancing image contrast are achieved. The manner of suppressing the low gray scale may be to modify the gray scale value to zero, which is not described in detail herein.
The adjustment to the spectral analysis can be understood with reference to the following: for example, if the spectral signal-to-noise ratio of the ultrasound whole field image data is low, the contrast and the smoothing effect of the image can be properly increased, and the effect of reducing the noise feeling can be achieved.
After the target area is located, the execution sequence of adjusting the image parameters of the target area, the emission parameters of the ultrasonic probe and the image parameters of the whole field of ultrasonic image data is not limited, and the execution sequence can be arbitrarily adjusted and combined according to specific situations.
The effects of the present application will be described below with reference to a specific application example. Fig. 3 is an ultrasound image without optimization in the embodiment of the present application, and fig. 4 is an ultrasound image after the target area of fig. 3 is optimized according to the scheme of the embodiment of the present application, for the ultrasound image shown in fig. 3, the target area can be located according to the examination mode information of the patient, and the target area is a low echo area near the near field of 1.5cm (distance from the ultrasound probe); respectively carrying out gray scale distribution, frequency spectrum analysis and the like on the image data of the target area and the image data of the whole ultrasonic field; adjusting image effects such as contrast, edge effect and the like of the target area according to the analysis result of the target area; the scanning range of the ultrasonic probe can be enlarged because the target area is close to the left edge of the image, and the scanning depth of the ultrasonic probe can be reduced to 3cm because the position of the target area is near the near field of 1.5cm, so that the target area is as far as possible in the center of the whole image area; according to the depth of the central position of the target area, adjusting the gathering position of the image to enable the focus to be at the center of the target area as much as possible; finally, the brightness, contrast, and the like of the whole ultrasound image are adjusted according to the analysis result of the ultrasound whole field image data, and then the ultrasound image shown in fig. 4 can be obtained.
The technical solutions described in the embodiments of the present application can be arbitrarily combined without conflict.
In the several embodiments provided in the present application, it should be understood that the disclosed method and intelligent device may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of a unit is only one logical function division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all functional units in the embodiments of the present application may be integrated into one second processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and all the changes or substitutions should be covered by the scope of the present application.
Claims (22)
1. A method for ultrasound image optimization, the method comprising:
transmitting ultrasonic waves to a target tissue and receiving ultrasonic echoes returned from the target tissue to obtain ultrasonic echo data;
obtaining ultrasonic whole-field image data according to the ultrasonic echo data;
locating a target region from the whole ultrasonic field image data through image recognition;
and adjusting the image quality of the target area so that the image quality of the target area meets a first condition.
2. The method of claim 1, wherein locating a target region from the ultrasound whole field image data by image recognition comprises:
and according to the inspection mode information, carrying out image recognition on the ultrasonic whole field image data, and positioning a target area based on an image recognition result.
3. The method of claim 1, wherein locating a target region from the ultrasound whole field image data by image recognition comprises:
and according to medical record information, carrying out image recognition on the whole ultrasonic field image data, and positioning a target area based on an image recognition result.
4. The method of claim 3, wherein the medical record information includes at least one of medical condition diagnostic information and historical diagnostic results.
5. The method of claim 1, wherein locating a target region from the ultrasound whole field image data by image recognition comprises:
and carrying out image recognition on the ultrasonic whole field image data according to a preset ultrasonic image focus point, and positioning a target area based on an image recognition result.
6. The method of claim 1, wherein the adjusting the image quality of the target region such that the image quality of the target region satisfies a first condition comprises:
adjusting image parameters of a target area and/or emission parameters of an ultrasonic probe so that the image quality of the target area meets a first condition.
7. The method of claim 6, wherein the adjusting image parameters and/or ultrasound probe transmit parameters of the target region comprises:
analyzing the image data of the target area according to the gray scale distribution of the target area and/or the frequency spectrum of the target area to obtain the analysis result of the image data of the target area;
and adjusting the image parameters of the target area and/or the emission parameters of the ultrasonic probe according to the analysis result of the image data of the target area.
8. The method of claim 6 or 7, wherein the image parameters of the target region comprise at least one of a contrast, an edge enhancement parameter, and an image smoothing parameter of the target region.
9. The method of claim 6 or 7, wherein the ultrasound probe transmit parameters include at least one of a focal position, a number of focal points, a scan range, a scan depth, a speed of sound, and a transmit frequency.
10. The method according to any one of claims 1 to 7, further comprising:
analyzing the ultrasonic whole-field image data according to the gray scale distribution of the ultrasonic whole-field image data and/or the frequency spectrum of the ultrasonic whole-field image data to obtain the analysis result of the ultrasonic whole-field image data;
and adjusting the image parameters of the ultrasonic whole field image data and/or the emission parameters of the ultrasonic probe according to the analysis result of the ultrasonic whole field image data.
11. The method of any of claims 1 to 7, wherein the first condition comprises: adjusting the contrast and/or edge parameters of the target area to a first value; and/or the ultrasonic emission parameter is adjusted to a second value.
12. An ultrasound imaging apparatus, characterized in that the apparatus comprises:
a probe;
the transmitting circuit is used for exciting the probe to transmit ultrasonic waves to target tissues;
a receiving circuit for controlling the probe to receive the ultrasonic echo returned from the target tissue to obtain ultrasonic echo data;
the processor is used for obtaining ultrasonic whole-field image data according to the ultrasonic echo data; locating a target region from the whole ultrasonic field image data through image recognition; and adjusting the image quality of the target area so that the image quality of the target area meets a first condition.
13. The apparatus according to claim 12, wherein the processor is specifically configured to perform image recognition on the entire ultrasound field image data according to the examination mode information, and locate the target region based on the image recognition result.
14. The apparatus of claim 12, wherein the processor is specifically configured to perform image recognition on the entire ultrasound field of image data according to medical record information, and locate the target region based on the image recognition result.
15. The apparatus of claim 14, wherein the medical record information includes at least one of medical condition diagnostic treatment information and historical diagnostic treatment results.
16. The apparatus according to claim 12, wherein the processor is specifically configured to perform image recognition on the entire ultrasound field image data according to a preset ultrasound image focus point, and locate a target region based on the image recognition result.
17. The apparatus according to claim 12, wherein the processor is specifically configured to adjust image parameters of a target region and/or ultrasound probe emission parameters such that the image quality of the target region satisfies a first condition.
18. The device according to claim 17, wherein the processor is specifically configured to analyze the image data of the target region according to a gray scale distribution of the target region and/or a frequency spectrum of the target region, so as to obtain an analysis result of the image data of the target region; and adjusting the image parameters of the target area and/or the emission parameters of the ultrasonic probe according to the analysis result of the image data of the target area.
19. The apparatus of claim 17 or 18, wherein the image parameters of the target region comprise at least one of a contrast, an edge enhancement parameter, and an image smoothing parameter of the target region.
20. The apparatus of claim 17 or 18, wherein the ultrasound probe transmit parameters comprise at least one of a focal position, a number of focal points, a scan range, a scan depth, a speed of sound, and a transmit frequency.
21. The apparatus according to any one of claims 12 to 18, wherein the processor is further configured to analyze the ultrasound whole field image data according to a gray scale distribution of the ultrasound whole field image data and/or a frequency spectrum of the ultrasound whole field image data to obtain an analysis result of the ultrasound whole field image data; and adjusting the image parameters of the ultrasonic whole field image data and/or the emission parameters of the ultrasonic probe according to the analysis result of the ultrasonic whole field image data.
22. The apparatus of any of claims 12 to 18, wherein the first condition comprises: adjusting the contrast and/or edge parameters of the target area to a first value; and/or the ultrasonic emission parameter is adjusted to a second value.
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| CN201811496181.6A CN111281423A (en) | 2018-12-07 | 2018-12-07 | Ultrasonic image optimization method and ultrasonic imaging equipment |
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| CN201811496181.6A CN111281423A (en) | 2018-12-07 | 2018-12-07 | Ultrasonic image optimization method and ultrasonic imaging equipment |
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