Methods, devices, equipment and readable storage media for ultrasound blood flow signal identification

By acquiring echo characteristics at different scanning angles and utilizing the characteristics of blood flow changes with scanning angles to identify blood flow signals, the problem of inaccurate identification of blood flow signals in ultrasound blood flow imaging is solved, thus achieving precise blood flow imaging.

CN117235488BActive Publication Date: 2026-03-10SONOSCAPE MEDICAL CORP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-06-02
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

In existing technologies, blood flow signals are difficult to identify accurately during ultrasound blood flow imaging, resulting in inaccurate imaging.

Method used

By acquiring the echo characteristics of the target scanning point at different scanning angles, the scanning angle and echo characteristics are used to determine whether they conform to the characteristics of blood flow changes with the scanning angle, including the variation patterns of tissue energy, blood flow velocity, and blood flow energy, and to determine whether the target scanning point corresponds to blood flow.

Benefits of technology

It enables precise identification of blood flow signals, improving the accuracy and capability of blood flow imaging.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

This application discloses an ultrasound blood flow signal identification method, apparatus, device, and readable storage medium. The method includes: acquiring echo features corresponding to a target scanning point at different scanning angles; using the scanning angle and echo features, determining whether the target scanning point conforms to the echo feature change characteristics of blood flow with varying scanning angle; if so, determining the blood flow corresponding to the target scanning point for blood flow imaging processing. By acquiring echo features corresponding to different scanning angles and verifying whether these echo features conform to the echo feature change characteristics of blood flow with varying scanning angle, it is possible to determine whether the target scanning point corresponds to blood flow, thereby achieving accurate blood flow imaging processing.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ultrasonic imaging, in particular to an ultrasonic blood flow signal identification method and device, equipment and a readable storage medium. BACKGROUND

[0002] Ultrasonic blood flow signal identification can observe the blood flow distribution and hemodynamic distribution of the measured tissue or organ in real time, thereby providing an important basis for the identification and diagnosis of tissue physiology and pathology by doctors.

[0003] Blood flow echo signals include tissue signals, blood flow signals and noise. In some cases, the tissue signals and blood flow signals are mixed, and the current wall filtering method cannot accurately detect the blood flow signals, thereby resulting in inaccurate blood flow imaging.

[0004] To sum up, how to effectively solve the problem of blood flow signal discrimination in ultrasonic blood flow imaging processing is a technical problem that needs to be solved by the technical personnel in the field at present. SUMMARY

[0005] The purpose of the present application is to provide an ultrasonic blood flow signal identification method, device, equipment and readable storage medium to improve the discrimination ability and accuracy of blood flow in blood flow imaging.

[0006] To solve the above technical problems, the present application provides the following technical solutions:

[0007] An ultrasonic blood flow signal identification method comprises:

[0008] Obtaining echo characteristics corresponding to different scan angles of a target scan point respectively;

[0009] Using the scan angle and the echo characteristics to determine whether the target scan point meets the echo characteristic change feature of blood flow changing with the scan angle;

[0010] If so, determining that the target scan point corresponds to blood flow, so as to perform blood flow imaging processing on the target scan point.

[0011] Preferably, the echo characteristics include tissue energy, blood flow velocity and blood flow energy, the horizontal angle is less than or equal to the scan angle, and the vertical angle is less than or equal to the scan angle. Using the scan angle and the echo characteristics to determine whether the target scan point meets the echo characteristic change feature of blood flow changing with the scan angle comprises:

[0012] Determining whether the tissue energy increases with the increase of the scan angle to obtain a first determination result;

[0013] Determining whether the blood flow velocity decreases with the increase of the scan angle to obtain a second determination result;

[0014] determining whether the blood flow energy decreases with the increase of the scan angle, to obtain a third determination result;

[0015] if the first determination result, the second determination result and the third determination result are all yes, it is determined that the target scan point meets the echo characteristic change feature.

[0016] Preferably, the scan angle is two, and is the vertical angle and the horizontal angle respectively, determining whether the tissue energy increases with the increase of the scan angle, to obtain a first determination result, comprising:

[0017] determining whether the tissue energy corresponding to the vertical angle is greater than the tissue energy corresponding to the horizontal angle;

[0018] if yes, it is determined that the first determination result is yes.

[0019] Preferably, the echo characteristics corresponding to different scan angles of the target scan point are obtained, comprising:

[0020] obtaining echo signals corresponding to different scan angles respectively;

[0021] performing at least two different filtering on each echo signal respectively, and obtaining at least two echo characteristics corresponding to each scan angle respectively based on the filtered echo signals;

[0022] Correspondingly, using the scan angle and the echo characteristics, determining whether the target scan point meets the echo characteristic change feature that the blood flow changes with the scan angle, comprising:

[0023] using the scan angle and the echo characteristics obtained by different filtering, respectively determining whether the target scan point meets the echo characteristic change feature that the blood flow changes with the scan angle, to obtain at least two reference results;

[0024] using at least two reference results, determining whether the target scan point corresponds to the blood flow.

[0025] Preferably, using at least two reference results, determining whether the target scan point corresponds to the blood flow, comprising:

[0026] determining whether a statistical value supporting that the target scan point corresponds to the blood flow in at least two reference results reaches a preset threshold;

[0027] if yes, it is determined that the target scan point corresponds to the blood flow.

[0028] Preferably, the echo signals corresponding to different scan angles are obtained, comprising:

[0029] ultrasound waves of different scan angles are sequentially emitted to the target scan point by using the ultrasound emission device;

[0030] echo signals corresponding to each scan angle are collected.

[0031] Preferably, the step of sequentially emitting ultrasound waves of different scan angles to the target scan point comprises:

[0032] ultrasound waves of a first scan angle are emitted to the target scan point by using the ultrasound emission device;

[0033] the excitation time of each array element in the ultrasound emission device is adjusted so as to emit ultrasound waves of a second scan angle to the target scan point.

[0034] An ultrasound blood flow signal recognition device comprises:

[0035] an echo feature acquisition module configured to acquire echo features corresponding to different scan angles of a target scan point respectively;

[0036] an echo feature change discrimination module configured to determine whether the target scan point conforms to echo feature change characteristics of blood flow changing with scan angles by using the scan angles and the echo features;

[0037] a blood flow imaging processing module configured to determine blood flow corresponding to the target scan point if the target scan point conforms to the echo feature change characteristics of blood flow changing with scan angles, so as to perform blood flow imaging processing on the target scan point.

[0038] An electronic device comprises:

[0039] a memory configured to store a computer program;

[0040] a processor configured to implement the steps of the above ultrasound blood flow signal recognition method when executing the computer program.

[0041] A readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the steps of the above ultrasound blood flow signal recognition method.

[0042] According to the method provided in the embodiments of the present application, echo features corresponding to different scan angles of a target scan point are acquired; whether the target scan point conforms to echo feature change characteristics of blood flow changing with scan angles is determined by using the scan angles and the echo features; and if so, blood flow corresponding to the target scan point is determined, so as to perform blood flow imaging processing on the target scan point.

[0043] In the present application, in order to effectively distinguish the tissue and blood flow, first, the echo characteristics corresponding to different scanning angles of the target scanning point are acquired. Doppler effect: when the vibration source such as sound, light and radio wave moves at a relative speed with the observer, the vibration frequency received by the observer is different from the frequency emitted by the vibration source. Correspondingly, the frequency change formed by the Doppler effect is called Doppler shift, which is proportional to the relative speed and the frequency of vibration. That is, when the scanning angle changes, the angle between the blood flow and the sound field emitted by the probe changes, that is, the speed corresponding to the echo is different from the real speed of the blood flow, and thus the echo characteristics also change. The speed of non-blood flow such as tissue is more stable relative to the blood flow, so the change of the echo characteristics of the tissue corresponding to the scanning angle change is different from that of the blood flow. That is, by acquiring the echo characteristics corresponding to different scanning angles, and checking whether the echo characteristics meet the change characteristics of the echo characteristics of the blood flow with the change of the scanning angle, whether the target scanning point corresponds to the blood flow can be determined, and thus the accurate blood flow imaging processing can be realized.

[0044] Correspondingly, the present application also provides an ultrasonic blood flow signal identification device, equipment and readable storage medium corresponding to the above-mentioned ultrasonic blood flow signal identification method, which has the above-mentioned technical effects, which will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the drawings needed to be used in the embodiments or the related art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0046] Figure 1 The implementation flowchart of an ultrasonic blood flow signal identification method in the embodiments of the present application;

[0047] Figure 2 A Doppler diagram in the embodiments of the present application;

[0048] Figure 3 A specific implementation diagram of an ultrasonic blood flow signal identification method in the embodiments of the present application;

[0049] Figure 4 A structure diagram of an ultrasonic blood flow signal identification device in the embodiments of the present application;

[0050] Figure 5 A structure diagram of an electronic device in the embodiments of the present application;

[0051] Figure 6 A specific structure diagram of an electronic device in the embodiments of the present application. Detailed Implementation

[0052] To enable those skilled in the art to better understand the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely some embodiments of the present application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0053] For ease of understanding, the relevant terms used in the embodiments of this application are explained below:

[0054] Doppler effect: When a vibration source such as sound, light, or radio waves moves relative to an observer at a relative velocity, the frequency of the vibration received by the observer differs from the frequency emitted by the vibration source.

[0055] The frequency change caused by the Doppler effect is called the Doppler shift, which is proportional to the relative velocity and the frequency of the vibration.

[0056] The working principle of pulse Doppler radar can be described as follows: When the radar transmits a pulse wave of a fixed frequency to scan the air, if a moving target is encountered, the frequency of the echo will differ from the frequency of the transmitted wave; this difference is called the Doppler frequency. Based on the magnitude of the Doppler frequency, the radial relative velocity of the target to the radar can be measured; based on the time difference between the transmitted pulse and the received pulse, the target's distance can be measured. Simultaneously, by using frequency filtering to detect the target's Doppler frequency spectrum and filtering out interference clutter, the radar can distinguish the target signal from strong clutter.

[0057] When the Doppler effect and Doppler frequency domain are applied to ultrasound blood flow signal identification, the echo signal corresponding to the ultrasound wave is received by transmitting ultrasound waves to the region of interest. The echo signal is then analyzed to obtain echo characteristics, which are used to determine the blood flow or tissue outside the blood flow corresponding to the region of interest.

[0058] Blood flow echo signals include tissue signals, blood flow signals, and noise. Noise is a very low-energy signal across the entire frequency band, tissue signals are high-energy low-frequency signals, and blood flow signals are low-energy low-frequency to high-frequency signals.

[0059] The formula for calculating blood flow velocity V, based on the Doppler principle, is as follows:

[0060]

[0061] Where θ is the angle between the ultrasound probe and the direction of blood flow; V is the actual blood flow velocity; f D It is the calculated frequency shift of the blood flow signal. When the included angle is 0, fD The closest blood flow V true speed, the value is maximum; c is the sound in human tissue movement speed, which can be considered as a constant 1540 m / s; f c is the center frequency of the ultrasound probe transmission, in MHz.

[0062] According to the energy formula E = MC 2 , under the premise of a certain mass M, the greater the speed C, the greater the energy, so when the angle between the blood flow and the probe emitted sound field is smaller, the energy of the blood flow is greater.

[0063] For tissues, their characteristics are very low-speed stable movement, long period, and feedback to the transmitted sound field in accordance with the mirror reflection principle. The greater the angle, the stronger the echo energy, and vice versa.

[0064] Based on this, the application proposes an ultrasonic blood flow signal recognition method, which is based on the specific change rule of the echo characteristics of the blood flow after the scanning angle changes to identify the blood flow. The execution subject of the method can be an ultrasound device, an electronic device, etc. Among them, the electronic device can be a computer, a smart phone, a wearable device, etc. When the execution subject is an electronic device, the electronic device can obtain the ultrasonic echo signal obtained by the ultrasonic scanning of the target scanning point from the ultrasound device, and obtain the corresponding echo characteristics based on the ultrasonic echo signal.

[0065] Specifically, please refer to Figure 1 , Figure 1 is a flowchart of an ultrasonic blood flow signal recognition method in an embodiment of the application. The method includes the following steps:

[0066] S101, obtaining the echo characteristics corresponding to the target scanning point at different scanning angles respectively.

[0067] It should be noted that in the present application, the target scanning point can be directly scanned at different angles on site, and after a series of processing, the echo characteristics corresponding to the different scanning angles can be obtained. It can also be directly read from a storage medium, and the echo characteristics can also be obtained through network or non-network data reception.

[0068] Among them, the target scanning point is any one scanning point in the region of interest that needs to be processed for blood flow imaging. The scanning angle can be selected within the range of horizontal angle (including 0 degrees and 180 degrees) to vertical angle (i.e. between 0 degrees and 180 degrees), and the horizontal angle, vertical angle or angle within the range can be selected, so that the scanning angle difference can be generated. Of course, in actual application, in order to more effectively identify blood flow, when the number of scanning angles is small, the scanning angle with greater difference can be selected as much as possible, and when the difference between adjacent scanning angles is small, the number of scanning angles can be increased.

[0069] In the present application, echo characteristics corresponding to two different scan angles can be obtained, or echo characteristics corresponding to more than two scan angles can be obtained. One scan angle corresponds to at least one echo characteristic. Specifically, by adjusting the filter used in echo signal processing, multiple echo characteristics can be obtained for the same scan angle. The echo characteristic is a feature of the ultrasonic echo data in different dimensions, which can represent the motion state, energy state, etc. of blood flow or tissue. Generally, the echo characteristic can specifically include blood flow velocity, blood flow energy and tissue energy.

[0070] S102, using the scan angle and the echo characteristic, determining whether the target scan point meets the echo characteristic change characteristic of blood flow changing with the scan angle.

[0071] From the above, as the scan angle changes, the Doppler shift corresponding to the blood flow changes, and thus the echo characteristic also changes, and there is a certain regularity. That is, the smaller the angle between the blood flow and the probe sound field, the greater the energy of the blood flow. For tissue, the larger the angle, the stronger the echo energy, and vice versa.

[0072] Therefore, after obtaining the echo characteristic and the corresponding scan angle, whether it meets the echo characteristic change characteristic of blood flow changing with the scan angle can be determined based on the change relationship between the two kinds of data, so as to determine whether the echo characteristic corresponds to blood flow.

[0073] Specifically, the echo characteristic includes tissue energy, blood flow velocity and blood flow energy, the horizontal angle is less than or equal to the scan angle, and the scan angle is less than or equal to the vertical angle. Using the scan angle and the echo characteristic, whether the target scan point meets the echo characteristic change characteristic of blood flow changing with the scan angle is determined, including:

[0074] Step one, determining whether the tissue energy increases with the increase of the scan angle to obtain a first determination result;

[0075] Step two, determining whether the blood flow velocity decreases with the increase of the scan angle to obtain a second determination result;

[0076] Step three, determining whether the blood flow energy decreases with the increase of the scan angle to obtain a third determination result;

[0077] Step four, if the first determination result, the second determination result and the third determination result are all yes, it is determined that the target scan point meets the echo characteristic change characteristic.

[0078] For ease of description, the above four steps will be described together.

[0079] It should be noted that in the above steps, steps 1 to 3 can be executed in any order or in parallel. The first, second, and third prefixes are not a priori, secondary, or other limitations, but only to distinguish the results of the three different judgment criteria.

[0080] It should be noted that when at least one of the first, second, and third judgment results is false, the target scanning point is determined to be inconsistent with the echo feature change characteristics.

[0081] Of course, in actual application, when multiple different scanning angles (such as 50 times) are scanned for the same scanning point, and only a small amount of individual data in the echo feature does not meet the echo feature change characteristics, it can be considered as error data, and the scanning point is determined to meet the echo feature change characteristics.

[0082] For example, if there are scanning angles θ1, θ2, θ3 in ascending order, and the corresponding blood flow velocities are v1, v2, and v3, the tissue energies are E1, E2, and E3, and the blood flow energies are F1, F2, and F3, respectively, then determine whether v1>v2>v3, E1<E2<E3, and F1>F2>F3 are satisfied, respectively. If all are satisfied, the target scanning point is determined to meet the echo feature change characteristics, otherwise, the target scanning point does not meet the echo feature change characteristics.

[0083] In one specific embodiment of the present application, the scanning angles are two, which are the vertical angle and the horizontal angle, and the tissue energy is determined whether it increases with the increase of the scanning angle to obtain the first judgment result, comprising:

[0084] Step 1, determine whether the tissue energy corresponding to the vertical angle is greater than the tissue energy corresponding to the horizontal angle;

[0085] Step 2, if yes, the first judgment result is determined to be yes.

[0086] That is, when there are only two scanning angles, the values of the echo features corresponding to the two scanning angles can be directly compared to determine the judgment result. For example, when there are only vertical and horizontal angles, it can be determined whether the tissue energy corresponding to the vertical angle is greater than the tissue energy corresponding to the horizontal angle. If yes, the first judgment result is determined to be yes. The determination of the second and third judgment results can be referred to.

[0087] Of course, when there are only two scanning angles, the vertical and horizontal angles can not be selected, but values between them can be selected, and it has been verified that a difference of more than or equal to plus or minus 45 degrees can obtain better results, such as 30 degrees and 85 degrees.

[0088] After the judgment result is obtained, subsequent operations can be performed. Specifically, when the judgment result is yes, step S103 is performed, and when the judgment result is no, step S104 is performed.

[0089] S103, if yes, determining that the target scanning point corresponds to blood flow, so as to perform blood flow imaging processing on the target scanning point.

[0090] When it is determined that the target scanning point corresponds to blood flow, that is, it is determined that the target scanning point is an ultrasound scanning point corresponding to a blood flow region, then the target scanning point can be processed for blood flow imaging based on the echo characteristics. For example, the scanning point is marked for blood flow based on the blood flow velocity and blood flow energy in the echo characteristics, blood flow velocity marking, etc. After it is determined to be blood flow, the corresponding imaging processing process can be referred to, and will not be described one by one here.

[0091] S104, if no, determining that the target scanning point does not correspond to blood flow.

[0092] If the target scanning point does not correspond to blood flow, it can be ignored, or it can be marked as non-blood flow in blood flow imaging processing, or it can be further identified as what kind of tissue in the subsequent.

[0093] By applying the method provided in the embodiments of the present application, the echo characteristics corresponding to the target scanning point at different scanning angles are obtained; the scanning angle and the echo characteristics are used to judge whether the target scanning point meets the echo characteristic change characteristics of blood flow changing with the scanning angle; if yes, it is determined that the target scanning point corresponds to blood flow, so as to perform blood flow imaging processing on the target scanning point.

[0094] In the blood flow echo signal, the noise is a very low energy signal in full band, the tissue signal is a high energy low frequency signal, and the blood flow signal is a low energy low frequency to high frequency signal, so there is aliasing between low speed blood flow and tissue signal. In the present application, in order to effectively distinguish the tissue and blood flow, first, the echo characteristics corresponding to different scan angles of the target scan point are obtained. Doppler effect: when the vibration source such as sound, light and radio wave moves at a relative speed with the observer, the vibration frequency received by the observer is different from the frequency emitted by the vibration source. Correspondingly, the frequency change formed by the Doppler effect is called Doppler shift, which is proportional to the relative speed and the frequency of vibration. That is, when the scan angle changes, the angle between the blood flow and the probe sound field changes, that is, the speed corresponding to the echo is different from the true speed of the blood flow, so the echo characteristics will also change. The speed of non-blood flow such as tissue is more stable relative to blood flow, so the change brought by the change of scan angle to the corresponding echo of tissue is different from that of blood flow. That is, by obtaining the echo characteristics corresponding to different scan angles, and checking whether the echo characteristics meet the change characteristics of the echo characteristics of blood flow with the change of scan angle, it can be determined whether the target scan point corresponds to blood flow, and the blood flow signal can be accurately identified from the aliasing signal of low speed blood flow and tissue signal, so that accurate blood flow imaging processing can be realized.

[0095] It should be noted that based on the above embodiment, the present application embodiment also provides a corresponding improvement scheme. The preferred / modified embodiments involve the same steps or corresponding steps between the above embodiments, which can be mutually referred to, and the corresponding benefits can also be mutually referred to. In the preferred / modified embodiments herein, they will not be described one by one.

[0096] In a specific embodiment of the present application, the step S101 of obtaining the echo characteristics corresponding to different scan angles of the target scan point respectively comprises:

[0097] Step one, obtaining echo signals corresponding to different scan angles respectively.

[0098] The echo signals corresponding to different scan angles respectively can be obtained by transmitting ultrasonic waves to the target scan point at different scan angles by the ultrasonic probe, and then receiving the echo signals.

[0099] That is, the ultrasonic emission device can be used to emit ultrasonic waves at different scan angles to the target scan point in sequence, and collect echo signals corresponding to each scan angle. Among them, emitting ultrasonic waves at different scan angles to the target scan point in sequence comprises:

[0100] Step 1, using an ultrasonic emission device to emit ultrasonic waves at a first scan angle to the target scan point;

[0101] Step 2, adjust the excitation time of each array element in the ultrasonic emission device so as to emit the second scan angle to the target scan point.

[0102] Wherein, the ultrasonic emission device can be an ultrasonic probe or other ultrasonic emission equipment. That is, after the ultrasonic wave of the first scan angle is emitted to the target scan point, when the second scan angle is needed, the wave velocity synthesis technology is used, that is, the excitation time of each array element in the ultrasonic emission device is adjusted, so as to emit the second scan angle to the target scan point. When the third scan angle needs to be sent, the excitation time of the array element is continuously adjusted, and the like. The excitation time of a specific scan angle can be calculated based on the time delay wave velocity. Specifically, by inserting different time delays (i.e. excitation time) between the array elements, the main wave velocity can be controlled to be in different directions. This method of inserting time delay between the array elements to control the main beam direction to different directions is called time delay wave velocity formation.

[0103] Of course, in actual application, not only the excitation time of the array element can be adjusted, but also other processing such as weighting, summation and the like can be used. For details, please refer to the wave velocity synthesis technology. The beam synthesis is a method of processing (such as weighting, time delay, summation and the like) the output of the multi-element array arranged in a certain geometric shape (such as straight line, cylinder, arc and the like) to form spatial directivity, which will not be described one by one here.

[0104] Step 2, each echo signal is filtered at least twice to obtain at least two echo characteristics corresponding to each scan angle respectively based on the filtered echo signals.

[0105] Since the tissue signal is a high-energy low-frequency signal, a filter can be used to filter it as much as possible to leave the blood flow signal part. For the same echo signal, different gears or different types of filters can be used to filter the echo signal when extracting the echo characteristics, so as to obtain multiple groups of echo characteristics. Wherein, the filter can be a high-pass filter,

[0106] Correspondingly, step S102 uses the scan angle and the echo characteristics to determine whether the target scan point meets the echo characteristic change characteristics of the blood flow changing with the scan angle, which can include:

[0107] Step 1, use the scan angle and the echo characteristics obtained by different filtering to respectively determine whether the target scan point meets the echo characteristic change characteristics of the blood flow changing with the scan angle, to obtain at least two reference results.

[0108] That is, one filtering method can obtain one reference result.

[0109] Step 2, use the at least two reference results to determine whether the target scan point corresponds to the judgment result of the blood flow.

[0110] Specifically, it can be judged whether the statistical value of the blood flow corresponding to the target scanning point is reached in at least two reference results; if yes, it is determined that the target scanning point corresponds to the blood flow. The statistical value can be a count value or a proportion value. For example, when 10 filtering modes are used, there are 10 reference results, 9 of which are yes and 1 of which is no. If the preset threshold is 80%, the final result is that the target scanning point corresponds to the blood flow; if the preset threshold is 100%, the final result is that the target scanning point does not correspond to the blood flow. The preset threshold can be set according to actual application requirements or can be set in advance.

[0111] In order to better apply the ultrasonic blood flow signal recognition method provided by the embodiments of the present application to the person skilled in the art, the ultrasonic blood flow signal recognition method will be described in detail below based on specific application steps and combined with Figure 2 and Figure 3 , for example, the ultrasonic device, the ultrasonic blood flow signal recognition method is described in detail.

[0112] Step 1, as shown in Figure 2 , the ultrasonic probe array element transmits an ultrasonic beam to the detected object according to different deflection angles. The detected object can be tissue or a blood vessel. Taking the blood vessel as an example, the blood cells therein receive the ultrasonic waveform, reflect the ultrasonic wave, and based on the Doppler principle, the frequency of the reflected ultrasonic waveform is lower than that of the received ultrasonic waveform. Then, the blood cell reflected ultrasonic waveform is received by the ultrasonic probe array element.

[0113] Step 2, for the ultrasonic echo signal received by the ultrasonic probe array element, the ultrasonic device collects vertical scanning HScan data and deflection scanning Sscan data.

[0114] Step 3, different gears (different gears have different cutoff frequencies) are used to perform multiple high-pass filtering on the vertical scanning HScan data and the deflection scanning Sscan data, respectively, to filter out low-frequency signals of different frequencies, so as to obtain different filtered data.

[0115] Each point (i.e., scanning point) in the scanning area is traversed, and for one of the points, the following steps 3 to 8 are executed:

[0116] Step 4, the tissue energy, blood flow velocity, and blood flow energy of different filtered data are estimated, respectively. The autocorrelation algorithm is used for calculation, and the I part and the Q part of the blood flow signal are taken, respectively:

[0117]

[0118]

[0119]

[0120] where Pow is the blood flow energy, Velocity is the blood flow velocity, Pow tis is the tissue energy. f(n) is the signal of the Ensemble length of the blood flow, which has both I and Q parts. It is to be noted that the color Doppler ultrasound data is obtained after filtering such as wall filtering. The filtered data is complex data, where the complex data is a three-dimensional complex matrix, i.e., is data composed of three dimensions of L, P and En, where L is Line, P is Point, and En is Ensemble. Therefore, Ensemble in the above formula represents the length in the Ensemble dimension, and f(n) is the signal of the blood flow in the Ensemble dimension.

[0121] The autocorrelation principle is as follows:

[0122]

[0123] where "*" is a convolution operator, (x) * is taking x conjugate.

[0124] Step 5, judge whether it is blood flow, if yes, count count++. The judgment logic is as follows:

[0125]

[0126] That is, judge whether the tissue energy corresponding to the vertical scan is greater than the tissue energy corresponding to the deflection scan, judge whether the blood flow velocity corresponding to the vertical scan is less than the blood flow velocity corresponding to the deflection scan, and judge whether the blood flow energy corresponding to the vertical scan is less than the blood flow energy corresponding to the deflection scan. When the judgment results are all yes, count is added by one, and the next filtering group is judged, otherwise the process is ended.

[0127] Step 6, do N times of step 5. Where N is the number of filtering gears, or the number of filtering types, or the sum of the filtering gears and the filtering types.

[0128] Step 7, calculate the percentage of true per=count / N.

[0129] Step 8, if per is greater than the set threshold (the threshold can be adjusted, such as 50%, the greater the percentage, the more data that meets the condition, the more accurate the result) is blood flow.

[0130] Step 9, if it is blood flow, the velocity or energy is taken as the average value of multiple scans.

[0131] That is: Vel=vel / count / 2;

[0132] Pow=pow / count / 2;

[0133] 0 otherwise.

[0134] Step 10, based on the blood flow recognition judgment result, performing blood flow imaging processing on the detected object, and distinguishing rendering blood flow and tissue to display in the display screen of the ultrasound device.

[0135] Corresponding to the above method embodiments, the embodiments of the present application also provide an ultrasound blood flow signal recognition device. The ultrasound blood flow signal recognition device described below can be mutually corresponding with reference to the ultrasound blood flow signal recognition method described above.

[0136] Referring to Figure 4 As shown in the figure, the device comprises the following modules:

[0137] The echo feature acquisition module 101 is configured to acquire echo features corresponding to different scan angles of a target scan point.

[0138] The echo feature change discrimination module 102 is configured to use the scan angle and the echo feature to determine whether the target scan point meets the echo feature change characteristics of blood flow changing with the scan angle.

[0139] The blood flow imaging processing module 103 is configured to, if the target scan point meets the echo feature change characteristics of blood flow changing with the scan angle, determine that the target scan point corresponds to blood flow, so as to perform blood flow imaging processing on the target scan point.

[0140] The device provided by the embodiments of the present application acquires echo features corresponding to different scan angles of a target scan point, uses the scan angle and the echo feature to determine whether the target scan point meets the echo feature change characteristics of blood flow changing with the scan angle, and if so, determines that the target scan point corresponds to blood flow, so as to perform blood flow imaging processing on the target scan point.

[0141] In the present application, in order to effectively distinguish the blood flow and the tissue, the echo characteristics corresponding to different scanning angles of the target scanning point are first acquired. Doppler effect: when the vibration source such as sound, light and radio wave moves at a relative speed with the observer, the vibration frequency received by the observer is different from the frequency emitted by the vibration source. Correspondingly, the frequency change formed by the Doppler effect is called Doppler shift, which is proportional to the relative speed and the vibration frequency. That is, when the scanning angle changes, the angle between the blood flow and the sound field emitted by the probe changes, that is, the speed corresponding to the echo is different from the real speed of the blood flow, and thus the echo characteristics change. The speed of the tissue and the like is more stable relative to the blood flow, and thus the change of the echo characteristics of the tissue corresponding to the scanning angle change is different from that of the blood flow. That is, by acquiring the echo characteristics corresponding to different scanning angles and checking whether the echo characteristics meet the change characteristics of the echo characteristics of the blood flow with the scanning angle change, it can be determined whether the target scanning point corresponds to the blood flow, and thus the accurate blood flow imaging processing can be realized.

[0142] In an embodiment of the present application, the echo characteristics include tissue energy, blood flow speed and blood flow energy, the horizontal angle is less than or equal to the scanning angle, and the scanning angle is less than or equal to the vertical angle. The echo characteristic change distinguishing module 102 is specifically used for:

[0143] judging whether the tissue energy increases with the increase of the scanning angle to obtain a first judgment result;

[0144] judging whether the blood flow speed decreases with the increase of the scanning angle to obtain a second judgment result;

[0145] judging whether the blood flow energy decreases with the increase of the scanning angle to obtain a third judgment result;

[0146] if the first judgment result, the second judgment result and the third judgment result are all yes, it is determined that the target scanning point meets the echo characteristic change characteristics.

[0147] In an embodiment of the present application, the scanning angle is two, and is the vertical angle and the horizontal angle respectively. The echo characteristic change distinguishing module 102 is specifically used for judging whether the tissue energy corresponding to the vertical angle is greater than the tissue energy corresponding to the horizontal angle;

[0148] if yes, it is determined that the first judgment result is yes.

[0149] In an embodiment of the present application, the echo characteristic change distinguishing module 102 is specifically used for acquiring the echo signals corresponding to different scanning angles respectively;

[0150] The echo signals are filtered at least twice respectively, and at least two echo characteristics corresponding to each scanning angle are obtained based on the filtered echo signals;

[0151] Correspondingly, the scanning angle and the echo characteristics are used to determine whether the target scanning point meets the echo characteristic change feature of the blood flow changing with the scanning angle, including:

[0152] The scanning angle and the echo characteristics obtained by different filtering are used to determine whether the target scanning point meets the echo characteristic change feature of the blood flow changing with the scanning angle, to obtain at least two reference results.

[0153] At least two reference results are used to determine whether the target scanning point corresponds to the blood flow.

[0154] In an embodiment of the present application, the echo characteristic change discrimination module 102 is specifically configured to determine whether the statistical value supporting the target scanning point corresponding to the blood flow in the at least two reference results reaches a preset threshold value.

[0155] If yes, it is determined that the target scanning point corresponds to the blood flow.

[0156] In an embodiment of the present application, the echo characteristic acquisition module 101 is specifically configured to use an ultrasonic emission device to emit ultrasonic waves of different scanning angles to the target scanning point in turn.

[0157] The echo signals corresponding to each scanning angle are collected.

[0158] In an embodiment of the present application, the echo characteristic acquisition module 101 is specifically configured to use an ultrasonic emission device to emit ultrasonic waves of a first scanning angle to the target scanning point.

[0159] The excitation time of each array element in the ultrasonic emission device is adjusted to emit ultrasonic waves of a second scanning angle to the target scanning point.

[0160] Corresponding to the above method embodiments, the present application also provides an electronic device. The electronic device described below can be mutually corresponding with the ultrasonic blood flow signal recognition method described above.

[0161] Referring to Figure 5 The electronic device includes:

[0162] The memory 332 is configured to store a computer program.

[0163] The processor 322 is configured to execute the computer program to implement the steps of the ultrasonic blood flow signal recognition method of the above method embodiments.

[0164] Specifically, please refer to Figure 6 ,Figure 6 A specific structural schematic diagram of an electronic device is provided for the present embodiment. The electronic device can have great differences due to different configurations or performances, and can include one or more processors (central processing units, CPUs) 322 (for example, one or more processors) and a memory 332 storing one or more computer applications 342 or data 344. The memory 332 can be temporary storage or persistent storage. The programs stored in the memory 332 can include one or more modules (not shown in the figure), each of which can include a series of instruction operations on a data processing device. Further, the central processor 322 can be configured to communicate with the memory 332 and execute the series of instruction operations in the memory 332 on the electronic device 301.

[0165] The electronic device 301 can also include one or more power supplies 326, one or more wired or wireless network interfaces 350, one or more input / output interfaces 358, and / or one or more operating systems 341.

[0166] The steps in the above-described ultrasonic blood flow signal recognition method can be implemented by the structure of the electronic device.

[0167] Corresponding to the above method embodiments, the present embodiment also provides a readable storage medium. The readable storage medium described below can be correspondingly referred to the ultrasonic blood flow signal recognition method described above.

[0168] A readable storage medium, the readable storage medium storing a computer program, the computer program being executed by a processor to implement the steps of the ultrasonic blood flow signal recognition method of the above method embodiments.

[0169] The readable storage medium can be a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various readable storage media that can store program codes.

[0170] Those skilled in the art can further realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware, computer software or a combination of both, and the general description of the components and steps of each example has been described above in order to clarify the interchangeability of hardware and software. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

Claims

1. An ultrasonic blood flow signal recognition method characterized by comprising: The method comprises the following steps: acquiring echo characteristics corresponding to a target scanning point at different scanning angles respectively; using the scanning angles and the echo characteristics to determine whether the target scanning point conforms to echo characteristic variation characteristics of blood flow changing with the scanning angle; if so, determining that the target scanning point corresponds to blood flow, so as to perform blood flow imaging processing on the target scanning point; the echo characteristics include tissue energy, blood flow velocity and blood flow energy, the scanning angle is greater than or equal to a horizontal angle and less than or equal to a vertical angle, using the scanning angle and the echo characteristics to determine whether the target scanning point conforms to echo characteristic variation characteristics of blood flow changing with the scanning angle comprises: determining whether the tissue energy increases with the increase of the scanning angle to obtain a first determination result; determining whether the blood flow velocity decreases with the increase of the scanning angle to obtain a second determination result; determining whether the blood flow energy decreases with the increase of the scanning angle to obtain a third determination result; if the first determination result, the second determination result and the third determination result are all yes, it is determined that the target scanning point conforms to the echo characteristic variation characteristics.

2. The ultrasonic blood flow signal recognition method according to claim 1, characterized in that, the scanning angle is two, and is the vertical angle and the horizontal angle respectively, determining whether the tissue energy increases with the increase of the scanning angle to obtain a first determination result comprises: determining whether the tissue energy corresponding to the vertical angle is greater than the tissue energy corresponding to the horizontal angle; if so, it is determined that the first determination result is yes.

3. The ultrasonic blood flow signal recognition method according to claim 1, characterized by, the acquiring of the echo characteristics corresponding to the target scanning point at different scanning angles respectively comprises: acquiring echo signals corresponding to different scanning angles respectively; performing different filtering on each echo signal at least twice, and obtaining at least two echo characteristics corresponding to each scanning angle respectively based on the filtered echo signals; correspondingly, using the scanning angles and the echo characteristics to determine whether the target scanning point conforms to echo characteristic variation characteristics of blood flow changing with the scanning angle comprises: using the scanning angles and the echo characteristics obtained by different filtering to determine whether the target scanning point conforms to echo characteristic variation characteristics of blood flow changing with the scanning angle respectively to obtain at least two reference results; using the at least two reference results to determine whether the target scanning point corresponds to blood flow.

4. The ultrasonic blood flow signal recognition method according to claim 3, characterized in that, using the at least two reference results to determine whether the target scanning point corresponds to blood flow comprises: determining whether a statistical value supporting that the target scanning point corresponds to blood flow in the at least two reference results reaches a preset threshold value; if so, it is determined that the target scanning point corresponds to blood flow.

5. The ultrasonic blood flow signal recognition method according to claim 3, characterized by, the acquiring of the echo signals corresponding to different scanning angles respectively comprises: using an ultrasonic emission device to emit ultrasonic waves of different scanning angles to the target scanning point in sequence; collecting echo signals corresponding to each scanning angle.

6. The ultrasonic blood flow signal recognition method according to claim 5, characterized by, emitting ultrasonic waves of different scanning angles to the target scanning point in sequence comprises: using the ultrasonic emission device to emit ultrasonic waves of a first scanning angle to the target scanning point; Adjusting the excitation time of each array element in the ultrasound emission device so as to emit a second scan angle to the target scan point.

7. An apparatus for identifying an ultrasonic blood flow signal, characterized by comprising: The method comprises the steps of: An echo feature acquisition module is configured to acquire echo features corresponding to different scan angles of a target scan point respectively. An echo feature change identification module is configured to determine whether the target scan point meets echo feature change characteristics of blood flow changing with scan angles by using the scan angles and the echo features. A blood flow imaging processing module is configured to determine blood flow corresponding to the target scan point if the target scan point meets the echo feature change characteristics of blood flow changing with scan angles, so as to perform blood flow imaging processing on the target scan point. The echo features include tissue energy, blood flow velocity and blood flow energy, the scan angles are greater than or equal to horizontal angles and less than or equal to vertical angles, the echo feature change identification module is specifically configured to determine whether the tissue energy increases with the increase of the scan angles to obtain a first determination result, determine whether the blood flow velocity decreases with the increase of the scan angles to obtain a second determination result, and determine whether the blood flow energy decreases with the increase of the scan angles to obtain a third determination result, and determine that the target scan point meets the echo feature change characteristics if the first determination result, the second determination result and the third determination result are all yes.

8. An electronic device, comprising: The method comprises the steps of: A memory is configured to store a computer program. A processor is configured to implement the steps of the ultrasound blood flow signal identification method according to any one of claims 1 to 6 when the computer program is executed.

9. A readable storage medium, characterized by, The readable storage medium stores a computer program, and the computer program is executed by the processor to implement the steps of the ultrasound blood flow signal identification method according to any one of claims 1 to 6.

Citation Information

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