Ultrasonic equipment, blood flow detection method and device and storage medium

Abstract

The invention provides ultrasonic equipment, a blood flow detection method and device and a storage medium, and relates to the technical field of ultrasonic signal processing, a sampling gate is divided into multiple sub-sampling gates, a blood vessel layer model is established according to the multiple sub-sampling gates, the blood flow of each to-be-superposed blood vessel layer is determined, and then the blood flow of each to-be-superposed blood vessel layer is calculated according to the blood flow of each to-be-superposed blood vessel layer. Therefore, the problem that when the blood flow does not belong to the standard laminar flow state, the blood flow detection accuracy is low when a traditional blood flow detection method is adopted is solved.

Description

Technical Field

[0001] The present application relates to the technical field of ultrasonic signal processing, and in particular to an ultrasonic device, a blood flow detection method, a device and a storage medium. Background Art

[0002] Blood flow is an important indicator for assessing the patient's circulatory function status. In clinical practice, the accuracy of blood flow detection is crucial.

[0003] At present, blood flow is mainly detected by Poiseuille's law. However, blood flow follows Poiseuille's law only in laminar flow state. If the blood flow state is not in the standard laminar flow state, the blood flow detected by Poiseuille's law is not accurate. Summary of the invention

[0004] The present invention provides an ultrasonic device, a blood flow detection method, a device and a storage medium, which can improve the accuracy of blood flow detection.

[0005] In a first aspect, an embodiment of the present application provides an ultrasound device, including: a processor, an ultrasound probe, and a display;

[0006] The ultrasonic probe is used to transmit and receive ultrasonic signals;

[0007] The processor is used to select a sampling gate, and control the ultrasound probe to transmit and receive ultrasound signals according to the sampling gate; and obtain a sampling gate signal corresponding to the ultrasound signal; the sampling gate is a focusing position of the ultrasound signal on the blood vessel;

[0008] Dividing the sampling gate into a plurality of sub-sampling gates; and determining a sub-sampling gate signal of each sub-sampling gate in the plurality of sub-sampling gates according to the sampling gate signal;

[0009] Determine a frequency spectrum image of each of the plurality of sub-sampling gates according to a sub-sampling gate signal of each of the plurality of sub-sampling gates, and determine a blood flow velocity of each of the sub-sampling gates according to the frequency spectrum image of each of the sub-sampling gates;

[0010] Creating a blood vessel layer model based on the multiple sub-sampling gates; the blood vessel layer model includes multiple blood vessel layers, and the multiple blood vessel layers correspond to the multiple sub-sampling gates one by one;

[0011] Determining the areas of a plurality of blood vessel layers to be superimposed, and determining the blood flow rate of each of the plurality of blood vessel layers to be superimposed according to the areas of the plurality of blood vessel layers to be superimposed and the blood flow velocity of each sub-sampling gate; the plurality of blood vessel layers to be superimposed are the blood vessel layers after excluding the repeated blood vessel layers in the plurality of blood vessel layers;

[0012] determining a target blood flow rate according to the blood flow rate of each of the blood vessel layers to be superimposed;

[0013] The display is used to display the target blood flow.

[0014] In a possible implementation manner, the processor is specifically configured to:

[0015] Performing cross-sectional imaging on the blood vessel to obtain a blood vessel cross-sectional image; the blood vessel cross-sectional image is marked with a blood vessel marker;

[0016] Determining a blood vessel reference diameter according to the blood vessel marker;

[0017] The sampling gate size is determined according to the blood vessel reference diameter, and the sampling gate is selected according to the sampling gate size.

[0018] In a possible implementation manner, the processor is specifically configured to:

[0019] The blood vessel reference diameter is used as the blood vessel inner diameter; the blood vessel inner diameter is perpendicular to the upper blood vessel wall and the lower blood vessel wall;

[0020] The size of the sampling gate is determined according to the angle between the sampling line and the inner diameter of the blood vessel, as well as the inner diameter of the blood vessel.

[0021] In a possible implementation manner, the processor is specifically configured to:

[0022] The ultrasonic signal is orthogonally demodulated to obtain a sampling gate signal corresponding to the ultrasonic signal.

[0023] In a possible implementation manner, the processor is specifically configured to:

[0024] Performing cross-sectional imaging on the blood vessel to obtain a cross-sectional image of the blood vessel, and determining a reference diameter of the blood vessel according to the cross-sectional image of the blood vessel;

[0025] The blood vessel reference diameter is used as the blood vessel inner diameter; the blood vessel inner diameter is perpendicular to the upper blood vessel wall and the lower blood vessel wall;

[0026] Determine the circumscribed parallel line of the inner diameter of the blood vessel as the blood vessel wall positioning reference line;

[0027] The blood vessel is imaged in a longitudinal section to obtain a longitudinal section image of the blood vessel. If the current longitudinal section image of the blood vessel is determined to be the longitudinal section with the maximum diameter based on the blood vessel wall positioning reference line, a spectrum image of each sub-sampling gate in the multiple sub-sampling gates is determined.

[0028] In a possible implementation manner, the processor is further configured to:

[0029] Determine the difference in blood velocity between different vascular layers;

[0030] Determining a plurality of coordinate points to be fitted according to the determined blood flow velocity differences;

[0031] The plurality of coordinate points to be fitted are fitted using the least squares method to obtain a gradient slope and a gradient fitting coefficient;

[0032] The gradient slope is used as a blood viscosity parameter, and the gradient fitting coefficient is used as a laminar flow fit parameter.

[0033] In a possible implementation manner, the processor is further configured to:

[0034] Determine the average value of the correlation coefficient of the distribution curve of the blood flow velocity of the upper half of the blood vessel layer model and the correlation coefficient of the distribution curve of the blood flow velocity of the lower half of the blood vessel layer model;

[0035] The average value is taken as the flow velocity variability parameter.

[0036] In a second aspect, an embodiment of the present application provides a blood flow detection method, the method comprising:

[0037] Selecting a sampling gate, transmitting and receiving an ultrasonic signal according to the sampling gate; and obtaining a sampling gate signal corresponding to the ultrasonic signal; the sampling gate is a focusing position of the ultrasonic signal on the blood vessel;

[0038] Dividing the sampling gate into a plurality of sub-sampling gates; and determining a sub-sampling gate signal of each sub-sampling gate in the plurality of sub-sampling gates according to the sampling gate signal;

[0039] Determine a frequency spectrum image of each of the plurality of sub-sampling gates according to a sub-sampling gate signal of each of the plurality of sub-sampling gates, and determine a blood flow velocity of each of the sub-sampling gates according to the frequency spectrum image of each of the sub-sampling gates;

[0040] Creating a blood vessel layer model based on the multiple sub-sampling gates; the blood vessel layer model includes multiple blood vessel layers, and the multiple blood vessel layers correspond to the multiple sub-sampling gates one by one;

[0041] Determining the areas of a plurality of blood vessel layers to be superimposed, and determining the blood flow rate of each of the plurality of blood vessel layers to be superimposed according to the areas of the plurality of blood vessel layers to be superimposed and the blood flow velocity of each sub-sampling gate; the plurality of blood vessel layers to be superimposed are the blood vessel layers after excluding the repeated blood vessel layers in the plurality of blood vessel layers;

[0042] The target blood flow rate is determined according to the blood flow rate of each blood vessel layer to be superimposed.

[0043] In a third aspect, an embodiment of the present application provides a blood flow detection device, the device comprising:

[0044] An acquisition unit, used to select a sampling gate, transmit and receive an ultrasonic signal according to the sampling gate; and acquire a sampling gate signal corresponding to the ultrasonic signal; the sampling gate is a focusing position of the ultrasonic signal on the blood vessel;

[0045] a blood flow detection unit, configured to divide the sampling gate into a plurality of sub-sampling gates; and determine a sub-sampling gate signal of each sub-sampling gate in the plurality of sub-sampling gates according to the sampling gate signal;

[0046] Determine a frequency spectrum image of each of the plurality of sub-sampling gates according to a sub-sampling gate signal of each of the plurality of sub-sampling gates, and determine a blood flow velocity of each of the sub-sampling gates according to the frequency spectrum image of each of the sub-sampling gates;

[0047] Creating a blood vessel layer model based on the multiple sub-sampling gates; the blood vessel layer model includes multiple blood vessel layers, and the multiple blood vessel layers correspond to the multiple sub-sampling gates one by one;

[0048] Determining the areas of a plurality of blood vessel layers to be superimposed, and determining the blood flow rate of each of the plurality of blood vessel layers to be superimposed according to the areas of the plurality of blood vessel layers to be superimposed and the blood flow velocity of each sub-sampling gate; the plurality of blood vessel layers to be superimposed are the blood vessel layers after excluding the repeated blood vessel layers in the plurality of blood vessel layers;

[0049] The target blood flow rate is determined according to the blood flow rate of each blood vessel layer to be superimposed.

[0050] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the blood flow detection method described in the second aspect is implemented.

[0051] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0052] An ultrasonic device, a blood flow detection method, an apparatus and a storage medium provided in the embodiments of the present application divide a sampling gate into a plurality of sub-sampling gates, create a vascular layer model according to the plurality of sub-sampling gates, respectively determine the blood flow of each vascular layer to be superimposed, and then determine the target blood flow according to the blood flow of each vascular layer to be superimposed, thereby overcoming the problem of low accuracy in detecting blood flow when using traditional blood flow detection methods when the blood flow does not belong to the standard laminar flow state. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0054] Figure 1 A schematic diagram of a laminar flow state provided in an embodiment of the present application;

[0055] Figure 2 A schematic diagram of velocity distribution in a laminar flow state provided in an embodiment of the present application;

[0056] Figure 3 A schematic diagram of a turbulent state provided in an embodiment of the present application;

[0057] Figure 4 A schematic diagram of the structure of an ultrasonic device provided in an embodiment of the present application;

[0058] Figure 5 A flow chart of a blood flow detection method provided in an embodiment of the present application;

[0059] Figure 6 A schematic diagram of a longitudinal section of a blood vessel provided in an embodiment of the present application;

[0060] Figure 7 A schematic diagram of another longitudinal section of a blood vessel provided in an embodiment of the present application;

[0061] Figure 8 A schematic diagram of performing ultrasonic detection on a blood vessel of a detection object provided in an embodiment of the present application;

[0062] Fig. 9 A schematic diagram of a blood vessel cross-section imaging provided in an embodiment of the present application;

[0063] Fig.10 A schematic diagram of another blood vessel cross-section imaging provided in an embodiment of the present application;

[0064] Fig.11 A schematic diagram of a longitudinal section imaging of a blood vessel provided in an embodiment of the present application;

[0065] Fig.12 A schematic diagram of another longitudinal section imaging of a blood vessel provided in an embodiment of the present application;

[0066] Fig.13 A schematic diagram of a split sampling door provided in an embodiment of the present application;

[0067] Fig.14 A schematic diagram of a vascular layer model provided in an embodiment of the present application;

[0068] Fig.15 A schematic diagram of a cross-section of a vascular layer model provided in an embodiment of the present application;

[0069] Fig.16 A schematic diagram of blood flow velocity distribution provided in an embodiment of the present application;

[0070] Fig.17 A schematic diagram of a sub-sampling gate blood flow parameter provided in an embodiment of the present application;

[0071] Fig.18 A schematic diagram of a sampling gate blood flow parameter provided in an embodiment of the present application;

[0072] Fig.19 A schematic diagram of a blood flow parameter table display provided in an embodiment of the present application;

[0073] Fig. 20 A schematic diagram of the structure of a blood flow detection device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0074] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0075] The flow of blood in blood vessels can be divided into two categories: laminar flow and turbulent flow. Figure 1 As shown, laminar flow is the regular flow of blood with clear streamlines. The flow law of blood laminar flow follows Poiseuille's law, that is, when an incompressible liquid with a viscosity coefficient of η flows in a horizontal circular tube with a radius of R, if the pressure difference at both ends of the fluid with a length of L is P1-P2, then the blood flow rate is:

[0076]

[0077] The velocity distribution of blood in the pipe under laminar flow is as follows: Figure 2 As shown, it is distributed parabolically along the radius r.

[0078] Figure 3 The schematic diagram of a turbulent state provided by an embodiment of the present application is exemplarily shown. When the flow rate reaches a certain level, the normal laminar flow is destroyed and a vortex appears, which becomes turbulent. The conditions for the formation of turbulence can be expressed by the Reynolds number (Re), and the formula for the Reynolds number is:

[0079]

[0080] Where D is the lumen diameter (cm), V is the average blood velocity (cm / s), and ρ is the blood density (g / cm 3 ), η is blood viscosity (Pa*s), and Re has no unit. Turbulence usually occurs when Re>2000. Therefore, turbulence is likely to occur when the blood flow rate is high, the lumen diameter is large, and the blood viscosity is low. Under normal circumstances, turbulence usually exists in the ventricles, and the conventional large blood vessels of the limbs are all laminar flow. However, when pathological conditions occur, such as the appearance of plaques, thrombi, etc., which make the vascular pore diameter smaller and the flow rate suddenly increase, or the blood viscosity increases due to pathology, turbulence can also be seen in conventional blood vessels.

[0081] In the prior art, Poiseuille's law based on hemodynamic theory is often used to detect blood flow. However, as can be seen from the above content, the blood flows in blood vessels in not only laminar flow modes that follow Poiseuille's law, but also turbulent flow modes that do not follow Poiseuille's law. If the conventional Poiseuille's law based on hemodynamic theory is used to detect blood flow, if the blood flow state does not belong to the standard laminar flow state, the detection of blood flow is not accurate.

[0082] To this end, the embodiments of the present application provide an ultrasonic device, a blood flow detection method, an apparatus and a storage medium to overcome the problem of low blood flow detection accuracy when using traditional blood flow detection methods when the blood flow does not belong to the standard laminar flow state.

[0083] To further illustrate the technical solution provided by the embodiment of the present application, this is described in detail below in conjunction with the accompanying drawings and specific implementation methods. Although the embodiment of the present application provides the method operation steps shown in the following embodiments or drawings, more or fewer operation steps may be included in the method based on routine or no creative labor. In the steps where there is no necessary causal relationship logically, the execution order of these steps is not limited to the execution order provided in the embodiment of the present application.

[0084] It should be understood that Figure 4 The ultrasound device shown is only an example and the ultrasound device may have more Figure 4 The more or less components shown in the figure can be combined with two or more components, or can have different component configurations. The various components shown in the figure can be implemented in hardware, software, or a combination of hardware and software including one or more signal processing and / or application specific integrated circuits.

[0085] Figure 4 Schematically shows a hardware configuration block diagram of an ultrasound device according to an exemplary embodiment.

[0086] like Figure 4 As shown, the ultrasound device may include, for example: a processor 41, a display 42 and an ultrasound probe 43; wherein,

[0087] An ultrasonic probe 43 is configured to transmit and receive ultrasonic signals, thereby performing ultrasonic detection on the blood vessels of the detection object;

[0088] A display 42, configured to display a target blood flow rate determined according to the blood flow rate of each blood vessel layer to be superimposed;

[0089] The processor 41 is connected to the ultrasound probe 43 and the display 42 respectively, and is configured to execute:

[0090] A sampling gate is selected, and the ultrasound probe is controlled to transmit and receive ultrasound signals according to the sampling gate, and a sampling gate signal corresponding to the ultrasound signal is obtained. Then, the sampling gate is divided into a plurality of sub-sampling gates, and the sub-sampling gate signal of each of the plurality of sub-sampling gates is determined according to the sampling gate signal, and then, the spectrum image of each of the plurality of sub-sampling gates is determined according to the sub-sampling gate signal of each of the plurality of sub-sampling gates, and the blood flow velocity of each sub-sampling gate is determined according to the spectrum image of each sub-sampling gate. Further, a vascular layer model is created based on the plurality of sub-sampling gates, the areas of the plurality of vascular layers to be superimposed are determined, and the blood flow rate of each of the plurality of vascular layers to be superimposed is determined according to the areas of the plurality of vascular layers to be superimposed and the blood flow velocity of each sub-sampling gate, and finally, the target blood flow rate is determined according to the blood flow rate of each vascular layer to be superimposed.

[0091] Of course, the method provided in the embodiment of the present application is not limited to Figure 4 The application scenario shown can also be used in other possible application scenarios, which are not limited in the embodiments of the present application.

[0092] Figure 5 A flow chart of a blood flow detection method provided by an embodiment of the present application is shown. The method can be performed by Figure 4 The ultrasonic equipment shown is completed. Figure 5 As shown, the blood flow detection method may include the following steps:

[0093] Step S501 , selecting a sampling gate, transmitting and receiving an ultrasonic signal according to the sampling gate, and acquiring a sampling gate signal corresponding to the ultrasonic signal.

[0094] The sampling gate is the focusing position of the ultrasound signal on the blood vessel.

[0095] At present, when using ultrasound equipment to detect blood flow in clinical practice, it is difficult for doctors with insufficient ultrasound experience to determine whether the current longitudinal section image is accurate. Repeated scanning is often required to determine. Despite this, it is still difficult to find the longitudinal section image of the largest diameter of the blood vessel. If the current longitudinal section image is not the longitudinal section with the largest diameter, such as Figure 6As shown in the figure, the blood flow velocity collected at this time is not complete, and it is difficult to ensure the accuracy of subsequent blood flow detection. Therefore, before selecting the sampling gate, if the maximum diameter longitudinal section can be determined, Figure 7 Collecting blood flow velocity at the position shown can significantly improve the accuracy of blood flow detection.

[0096] The following is an example of ultrasonic testing of the subject’s carotid artery. Figure 8 As shown, when performing ultrasound detection on the carotid artery, the cross-sectional imaging of the blood vessel can be performed first to obtain the following Fig. 9 The cross-sectional image of the blood vessel is shown. Next, the doctor can draw the region of interest, that is, mark the edge of the blood vessel. According to the blood vessel marking drawn by the doctor, the reference diameter of the blood vessel can be determined. After obtaining the reference diameter of the blood vessel, Fig.10 As shown, the blood vessel reference diameter can be used as the blood vessel inner diameter, which is perpendicular to the upper blood vessel wall and the lower blood vessel wall. Further, the circumscribed parallel line of the blood vessel inner diameter can be used as the blood vessel wall positioning reference line. The blood vessel wall positioning reference line is used to assist doctors in determining the maximum diameter longitudinal section. For example, doctors can Fig.11 The vessel wall positioning reference line shown is moved to Fig.12 The position shown, thereby determining the maximum diameter longitudinal section.

[0097] Furthermore, when performing ultrasonic testing on a blood vessel, it is also necessary to determine the size of the sampling gate. Exemplarily, the size of the sampling gate can be determined based on the angle between the sampling line and the inner diameter of the blood vessel, as well as the inner diameter of the blood vessel. Specifically, the size of the sampling gate can be determined based on a trigonometric function according to the angle between the sampling line and the inner diameter of the blood vessel, as well as the size of the inner diameter of the blood vessel. After determining the size of the sampling gate and the maximum diameter longitudinal section, the ultrasonic probe can be controlled to transmit and receive ultrasonic signals according to the selected sampling gate, and then the received ultrasonic signals can be orthogonally demodulated to obtain a sampling gate signal corresponding to the ultrasonic signal.

[0098] However, it should be noted that the above process of ultrasonic detection of the carotid artery is only used as an example. In actual applications, ultrasonic detection can also be performed on blood vessels in various parts of the human body, such as the ventricles and limbs. This application does not impose any limitations on the location of the blood vessels targeted by ultrasonic detection.

[0099] Step S502: divide the sampling gate into a plurality of sub-sampling gates, and determine a sub-sampling gate signal of each of the plurality of sub-sampling gates according to the sampling gate signal.

[0100] After obtaining the sampling gate signal, the sampling gate can be divided into a plurality of sub-sampling gates, that is, the sampling points in the sampling gate are evenly distributed to the plurality of sub-sampling gates. Fig.13 As shown, the sampling gate can be split into 9 sub-sampling gates.

[0101] Furthermore, each sub-sampling gate signal can be obtained, and each sub-sampling gate signal can be filtered, windowed, FFT transformed, frequency shifted, smoothed, etc., so as to filter out tissue signals, retain blood flow signals, and filter out spectrum leakage interference.

[0102] Step S503, determining the frequency spectrum image of each of the multiple sub-sampling gates according to the sub-sampling gate signal of each of the multiple sub-sampling gates, and determining the blood flow velocity of each sub-sampling gate according to the frequency spectrum image of each sub-sampling gate.

[0103] According to the sub-sampling gate signal of each sub-sampling gate among the multiple sub-sampling gates, the spectrum image of each sub-sampling gate among the multiple sub-sampling gates can be determined. According to the spectrum image of each sub-sampling gate, the peak envelope and the mean envelope of each sub-sampling gate can be obtained by automatic calculation using a conventional PW envelope line.

[0104] Furthermore, based on the spectrum image, peak envelope and mean curve of each sub-sampling gate, and the number of cardiac cycles n selected by the doctor, the n cardiac cycles with the best quality can be determined, and the blood flow velocity of each sub-sampling gate can be determined based on the n cardiac cycles with the best quality. Selecting the n cardiac cycles with the best quality and synchronously determining the blood flow velocity of each sub-sampling gate therefrom can further improve the accuracy of subsequent blood flow detection.

[0105] Step S504: creating a blood vessel layer model based on multiple sub-sampling gates.

[0106] In an optional implementation, a vascular layer model may be created according to the number of sub-sampling gates, such as Fig.14 As shown, the vascular layer model includes multiple vascular layers, and the multiple vascular layers correspond to the multiple sub-sampling gates one by one.

[0107] Continuing to take 9 sub-sampling gates as an example, assuming that the sampling gate is divided into 9 sub-sampling gates, it can be determined that the vascular layer model includes the following Fig.15 The 9 vascular layers shown in FIG. 1 , wherein the blood flow velocity distribution corresponding to the 9 vascular layers is as follows: Fig.16 As shown, the blood flow velocity in the center of the vascular layer is the fastest, and the velocity gradually decreases toward the upper and lower vascular walls.

[0108] Step S505, determining the areas of the multiple blood vessel layers to be superimposed, and determining the blood flow rate of each of the multiple blood vessel layers to be superimposed according to the areas of the multiple blood vessel layers to be superimposed and the blood flow velocity of each sub-sampling gate.

[0109] Continuing to use 9 sub-sampling gates as an example, the target blood flow of the blood vessel is the sum of the blood flow of each blood vessel layer. However, with the central sampling gate (sampling gate 5) as the axis, the mutually symmetrical sampling gates are in the same blood vessel layer. Therefore, the blood vessel layer to be superimposed is the blood vessel layer after excluding the repeated blood vessel layer in the multiple blood vessel layers. For example, blood vessel layer 1, blood vessel layer 2, blood vessel layer 3, blood vessel layer 4 and blood vessel layer 5 are the blood vessel layers to be superimposed. Therefore, only the areas of blood vessel layer 1, blood vessel layer 2, blood vessel layer 3, blood vessel layer 4 and blood vessel layer 5 need to be determined.

[0110] Furthermore, the blood flow rate of each of the multiple blood vessel layers to be superimposed can be determined according to the areas of the multiple blood vessel layers to be superimposed and the blood flow velocity of each sub-sampling gate.

[0111] It should be noted that the blood flow velocity corresponding to the vascular layer to be superimposed can be the blood flow velocity in the vascular layer, such as the blood flow velocity in the vascular layer corresponding to sampling gate 5, or it can be the average value of the blood flow velocities of mutually symmetrical sampling gates, such as the average value of the blood flow velocity in the vascular layer corresponding to sampling gate 1 and the blood flow velocity in the vascular layer corresponding to sampling gate 9.

[0112] Continuing to use 9 sub-sampling gates as an example for explanation, specifically, the blood flow velocity of blood vessel layer 1 and the blood flow velocity of blood vessel layer 9 can be determined, and the average value of the blood flow velocity of blood vessel layer 1 and the blood flow velocity of blood vessel layer 9 and the product of the area of ​​blood vessel layer 1 are used as the blood flow of blood vessel layer 1. Next, the blood flow velocity of blood vessel layer 2 and the blood flow velocity of blood vessel layer 8 can be determined, and the average value of the blood flow velocity of blood vessel layer 2 and the blood flow velocity of blood vessel layer 8 and the product of the area of ​​blood vessel layer 2 are used as the blood flow of blood vessel layer 2. Similarly, the blood flow velocity of blood vessel layer 3 and the blood flow velocity of blood vessel layer 7 can be determined, and the average value of the blood flow velocity of blood vessel layer 3 and the blood flow velocity of blood vessel layer 7 and the product of the area of ​​blood vessel layer 3 are used as the blood flow of blood vessel layer 3. Further, the blood flow velocity of blood vessel layer 4 and the blood flow velocity of blood vessel layer 8 can be determined, and the average value of the blood flow velocity of blood vessel layer 4 and the blood flow velocity of blood vessel layer 8 and the product of the area of ​​blood vessel layer 4 are used as the blood flow of blood vessel layer 4. Finally, the product of the blood flow velocity of the blood vessel layer 5 and the area of ​​the blood vessel layer 5 can be taken as the blood flow rate of the blood vessel layer 5 .

[0113] Step S506, determining a target blood flow rate according to the blood flow rate of each blood vessel layer to be superimposed.

[0114] In an optional implementation, after the blood flow of each to-be-superimposed vascular layer in the vascular layer model is determined, the blood flow of each to-be-superimposed vascular layer may be superimposed, that is, the sum of the blood flow of each to-be-superimposed vascular layer is determined as the target blood flow.

[0115] For example, the sum of the blood flow of the above-mentioned vascular layer 1, the blood flow of the vascular layer 2, the blood flow of the vascular layer 3, the blood flow of the vascular layer 4 and the blood flow of the vascular layer 5 can be used as the target blood flow to be finally obtained.

[0116] After determining the target blood flow, blood viscosity parameters, laminar flow conformity parameters and flow velocity variability parameters can also be determined to further evaluate the blood flow status.

[0117] Exemplarily, the blood flow velocity difference in different vascular layers can be determined first, and based on the determined blood flow velocity differences, multiple coordinate points to be fitted can be determined. Then, the least squares fitting method is used to fit the multiple coordinate points to be fitted to obtain the gradient slope and the gradient fitting coefficient. Furthermore, the gradient slope can be used as a blood viscosity parameter, and the gradient fitting coefficient can be used as a laminar flow conformity parameter.

[0118] Specifically, the gradient slope can be determined using formula (1), which can be expressed as:

[0119]

[0120] Among them, x is the serial number of the array composed of the blood flow velocity differences of adjacent sampling gates, is the horizontal coordinate of the coordinate point to be fitted, dv / dx is the array composed of the blood flow velocity differences of adjacent sampling gates, is the vertical coordinate of the coordinate point to be fitted. K is the gradient slope, that is, the blood viscosity parameter, which is used to characterize the viscosity of blood flow.

[0121] Furthermore, the gradient fitting coefficient can be determined using formula (2), which can be expressed as:

[0122]

[0123] Among them, x is the serial number of the array composed of the blood flow velocity differences of adjacent sampling gates, dv / dx is the array composed of the blood flow velocity differences of adjacent sampling gates, and i represents the array length. R is the gradient fitting coefficient, that is, the laminar flow fit coefficient. The closer the laminar flow fit coefficient is to 1, the closer the blood flow state is to the laminar flow state.

[0124] Furthermore, the correlation coefficient of the distribution curve of the blood flow velocity of the upper half of the vascular layer model and the average value of the correlation coefficient of the distribution curve of the blood flow velocity of the lower half of the vascular layer model can also be determined, and the average value is used as the velocity variation parameter. For example, the vascular layer of the upper half of the vascular layer model can be vascular layers 1 to 4, and the vascular layer of the lower half of the vascular layer model can be vascular layers 5 to 9.

[0125] Specifically, the velocity variation parameter can be determined using formula (3), which can be expressed as:

[0126]

[0127] Among them, array A is the array composed of the blood flow velocity of the upper half of the vascular layer model, array B is the array composed of the blood flow velocity of the lower half of the vascular layer model, Asymmetry t is the asymmetry coefficient of array A and array B, that is, the velocity variability parameter, which is used to characterize the velocity variability of blood flow.

[0128] In an optional embodiment, after all blood flow parameters are obtained, the blood flow parameters can be displayed according to the blood flow parameter display mode selected by the doctor. Fig.17 As shown in FIG. 1 , the blood flow parameters corresponding to a single sampling gate can be displayed. In other embodiments, as shown in FIG. Fig.18 As shown, the blood flow parameters corresponding to the total sampling gate can also be displayed. In other embodiments, such as Fig.19 As shown, blood flow parameters can also be displayed in a table, so that doctors can understand each blood flow parameter more intuitively and better assist doctors in identifying lesions.

[0129] Based on the same inventive concept, the present application embodiment provides a blood flow detection device, such as Fig. 20 As shown, it includes the following units:

[0130] The acquisition unit 2001 is used to select a sampling gate, transmit and receive an ultrasonic signal according to the sampling gate, and acquire a sampling gate signal corresponding to the ultrasonic signal; the sampling gate is a focusing position of the ultrasonic signal on the blood vessel;

[0131] The blood flow detection unit 2002 is used to divide the sampling gate into a plurality of sub-sampling gates; and determine the sub-sampling gate signal of each sub-sampling gate in the plurality of sub-sampling gates according to the sampling gate signal;

[0132] Determine a frequency spectrum image of each of the plurality of sub-sampling gates according to a sub-sampling gate signal of each of the plurality of sub-sampling gates, and determine a blood flow velocity of each of the sub-sampling gates according to the frequency spectrum image of each of the sub-sampling gates;

[0133] Creating a vascular layer model based on multiple sub-sampling gates; the vascular layer model includes multiple vascular layers, and the multiple vascular layers correspond to the multiple sub-sampling gates one by one;

[0134] Determining the areas of multiple blood vessel layers to be superimposed, and determining the blood flow rate of each of the multiple blood vessel layers to be superimposed according to the areas of the multiple blood vessel layers to be superimposed and the blood flow velocity of each sub-sampling gate; the multiple blood vessel layers to be superimposed are the blood vessel layers after excluding the repeated blood vessel layers in the multiple blood vessel layers;

[0135] The target blood flow rate is determined according to the blood flow rate of each blood vessel layer to be superimposed.

[0136] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0137] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0138] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0139] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0140] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. An ultrasonic device, characterized in that: include: processor, ultrasound probe, and display; The ultrasonic probe is used to transmit and receive ultrasonic signals; The processor is used to select a sampling gate, and control the ultrasound probe to transmit and receive ultrasound signals according to the sampling gate; and obtain a sampling gate signal corresponding to the ultrasound signal; the sampling gate is a focusing position of the ultrasound signal on the blood vessel; Dividing the sampling gate into a plurality of sub-sampling gates; and determining a sub-sampling gate signal of each sub-sampling gate in the plurality of sub-sampling gates according to the sampling gate signal; Determine a frequency spectrum image of each of the plurality of sub-sampling gates according to a sub-sampling gate signal of each of the plurality of sub-sampling gates, and determine a blood flow velocity of each of the sub-sampling gates according to the frequency spectrum image of each of the sub-sampling gates; Creating a blood vessel layer model based on the multiple sub-sampling gates; the blood vessel layer model includes multiple blood vessel layers, and the multiple blood vessel layers correspond to the multiple sub-sampling gates one by one; Determining the areas of a plurality of blood vessel layers to be superimposed, and determining the blood flow rate of each of the plurality of blood vessel layers to be superimposed according to the areas of the plurality of blood vessel layers to be superimposed and the blood flow velocity of each sub-sampling gate; the plurality of blood vessel layers to be superimposed are the blood vessel layers after excluding the repeated blood vessel layers in the plurality of blood vessel layers; determining a target blood flow rate according to the blood flow rate of each of the blood vessel layers to be superimposed; The display is used to display the target blood flow.

2. The ultrasonic device according to claim 1, characterized in that The processor is specifically used for: Performing cross-sectional imaging on the blood vessel to obtain a blood vessel cross-sectional image; the blood vessel cross-sectional image is marked with a blood vessel marker; Determining a blood vessel reference diameter according to the blood vessel marker; The sampling gate size is determined according to the blood vessel reference diameter, and the sampling gate is selected according to the sampling gate size.

3. The ultrasonic device according to claim 2, characterized in that The processor is specifically used for: The blood vessel reference diameter is used as the blood vessel inner diameter; the blood vessel inner diameter is perpendicular to the upper blood vessel wall and the lower blood vessel wall; The size of the sampling gate is determined according to the angle between the sampling line and the inner diameter of the blood vessel, as well as the inner diameter of the blood vessel.

4. The ultrasonic device according to claim 1, characterized in that The processor is specifically used for: The ultrasonic signal is orthogonally demodulated to obtain a sampling gate signal corresponding to the ultrasonic signal.

5. The ultrasonic device according to claim 1, characterized in that The processor is specifically used for: Performing cross-sectional imaging on the blood vessel to obtain a cross-sectional image of the blood vessel, and determining a reference diameter of the blood vessel according to the cross-sectional image of the blood vessel; The blood vessel reference diameter is used as the blood vessel inner diameter; the blood vessel inner diameter is perpendicular to the upper blood vessel wall and the lower blood vessel wall; Determine the circumscribed parallel line of the inner diameter of the blood vessel as the blood vessel wall positioning reference line; The blood vessel is imaged in a longitudinal section to obtain a longitudinal section image of the blood vessel. If the current longitudinal section image of the blood vessel is determined to be the longitudinal section with the maximum diameter based on the blood vessel wall positioning reference line, a spectrum image of each sub-sampling gate in the multiple sub-sampling gates is determined.

6. The ultrasonic device according to claim 1, characterized in that The processor is further configured to: Determine the difference in blood velocity between different vascular layers; Determining a plurality of coordinate points to be fitted according to the determined blood flow velocity differences; The plurality of coordinate points to be fitted are fitted using the least squares method to obtain a gradient slope and a gradient fitting coefficient; The gradient slope is used as a blood viscosity parameter, and the gradient fitting coefficient is used as a laminar flow fit parameter.

7. The ultrasonic device according to claim 1, characterized in that The processor is further configured to: Determine the average value of the correlation coefficient of the distribution curve of the blood flow velocity of the upper half of the blood vessel layer model and the correlation coefficient of the distribution curve of the blood flow velocity of the lower half of the blood vessel layer model; The average value is taken as the flow velocity variability parameter.

8. A blood flow detection method, characterized in that: The method comprises: Selecting a sampling gate, transmitting and receiving an ultrasonic signal according to the sampling gate; and obtaining a sampling gate signal corresponding to the ultrasonic signal; the sampling gate is a focusing position of the ultrasonic signal on the blood vessel; Dividing the sampling gate into a plurality of sub-sampling gates; and determining a sub-sampling gate signal of each sub-sampling gate in the plurality of sub-sampling gates according to the sampling gate signal; Determine a frequency spectrum image of each of the plurality of sub-sampling gates according to a sub-sampling gate signal of each of the plurality of sub-sampling gates, and determine a blood flow velocity of each of the sub-sampling gates according to the frequency spectrum image of each of the sub-sampling gates; Creating a blood vessel layer model based on the multiple sub-sampling gates; the blood vessel layer model includes multiple blood vessel layers, and the multiple blood vessel layers correspond to the multiple sub-sampling gates one by one; Determining the areas of a plurality of blood vessel layers to be superimposed, and determining the blood flow rate of each of the plurality of blood vessel layers to be superimposed according to the areas of the plurality of blood vessel layers to be superimposed and the blood flow velocity of each sub-sampling gate; the plurality of blood vessel layers to be superimposed are the blood vessel layers after excluding the repeated blood vessel layers in the plurality of blood vessel layers; The target blood flow rate is determined according to the blood flow rate of each blood vessel layer to be superimposed.

9. A blood flow detection device, characterized in that: The device comprises: An acquisition unit, used to select a sampling gate, transmit and receive an ultrasonic signal according to the sampling gate; and acquire a sampling gate signal corresponding to the ultrasonic signal; the sampling gate is a focusing position of the ultrasonic signal on the blood vessel; a blood flow detection unit, configured to divide the sampling gate into a plurality of sub-sampling gates; and determine a sub-sampling gate signal of each sub-sampling gate in the plurality of sub-sampling gates according to the sampling gate signal; Determine a frequency spectrum image of each of the plurality of sub-sampling gates according to a sub-sampling gate signal of each of the plurality of sub-sampling gates, and determine a blood flow velocity of each of the sub-sampling gates according to the frequency spectrum image of each of the sub-sampling gates; Creating a blood vessel layer model based on the multiple sub-sampling gates; the blood vessel layer model includes multiple blood vessel layers, and the multiple blood vessel layers correspond to the multiple sub-sampling gates one by one; Determining the areas of a plurality of blood vessel layers to be superimposed, and determining the blood flow rate of each of the plurality of blood vessel layers to be superimposed according to the areas of the plurality of blood vessel layers to be superimposed and the blood flow velocity of each sub-sampling gate; the plurality of blood vessel layers to be superimposed are the blood vessel layers after excluding the repeated blood vessel layers in the plurality of blood vessel layers; The target blood flow rate is determined according to the blood flow rate of each blood vessel layer to be superimposed.

10. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, characterized in that: When the computer program is executed by a processor, the method according to claim 8 is implemented.

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