Sound field evaluation method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of ultrasonic processing, and discloses a sound field evaluation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the sound intensity distribution of a sound axis of an ultrasonic system, and determining the focus position of a sound field on the sound axis based on the sound intensity distribution; acquiring sound field distribution on the first plane at the focus position to determine the beam width at the focus position; based on the beam width at the focus position, solving a plurality of preset distribution models to obtain a plurality of sound field distribution models; and respectively determining errors of the plurality of sound field distribution models, and determining the sound field distribution model with the minimum error as a target distribution model corresponding to the sound field. Thus, the sound field distribution model can be solved only by determining the focus position corresponding to the ultrasonic system and the sound field distribution at the focus position, the difficulty of sound field model construction is reduced, and the time of sound field model construction is greatly shortened.

Description

Technical Field

[0001] The present invention relates to the field of ultrasonic processing technology, and in particular to a sound field evaluation method, device, computer equipment and storage medium. Background Art

[0002] The combinations of input parameters that affect the sound field distribution are very wide. Many ultrasound systems use multiple modes to simultaneously acquire and display different types of information, and each mode consists of several types with different acoustic characteristics. This makes it time-consuming and difficult to build a sound field model that can cover the entire parameter space. Summary of the invention

[0003] In view of this, the present invention provides a sound field evaluation method, apparatus, computer equipment and storage medium to solve the problem of time-consuming and difficult construction of a sound field model.

[0004] In a first aspect, the present invention provides a sound field assessment method, the method comprising:

[0005] Acquiring the sound intensity distribution of the acoustic axis of the ultrasound system, and determining the focal position of the sound field on the acoustic axis based on the sound intensity distribution;

[0006] Acquire the sound field distribution on the first plane at the focal position to determine the beam width at the focal position;

[0007] Based on the beam width at the focal position, a plurality of preset distribution models are solved respectively to obtain a plurality of sound field distribution models;

[0008] The errors of the multiple sound field distribution models are determined respectively, and the sound field distribution model with the smallest error is determined as the target distribution model corresponding to the sound field.

[0009] In this way, it is only necessary to determine the focal position corresponding to the ultrasonic system and the sound field distribution at the focal position to solve the sound field distribution model, which reduces the difficulty of constructing the sound field model and greatly shortens the time for constructing the sound field model. At the same time, multiple distribution models are preset, and multiple sound field distribution models are solved respectively, and the sound field distribution model with the smallest error is determined as the target distribution model, thereby selecting the target distribution model that best matches the actual sound field distribution, thereby improving the accuracy of sound field model construction.

[0010] In an optional implementation, determining the focal position of the sound field on the acoustic axis based on the sound intensity distribution includes:

[0011] Based on the sound intensity distribution, determine the sound intensity peak point on the sound axis;

[0012] The peak point of the sound intensity is determined as the focus of the sound field to determine the focus position.

[0013] In an optional implementation, acquiring the sound field distribution on a first plane at the focal position to determine the beam width at the focal position includes:

[0014] Acquire the sound field distribution on the first plane at the focal position;

[0015] Based on the sound field distribution, determine the sound field boundary corresponding to the focal position;

[0016] Based on the sound field boundaries, the beam width is determined.

[0017] In an optional implementation, based on the beam width at the focal position, multiple preset distribution models are solved respectively to obtain multiple sound field distribution models, including:

[0018] Acquiring aperture information of the ultrasound system; the aperture information is used to characterize the beam width at the zero point of the acoustic axis;

[0019] Substituting the aperture information, the focal position and the beam width at the focal position into a plurality of preset distribution models respectively, and solving to obtain the model parameters corresponding to each of the plurality of preset distribution models;

[0020] Based on the model parameters, a plurality of sound field distribution models are determined respectively.

[0021] In this way, multiple sound field distribution models can be solved according to the focal position, the beam width at the focal position and the parameters of the ultrasonic system itself, thereby reducing the difficulty of constructing the sound field model and shortening the time of constructing the sound field model.

[0022] In an optional implementation, respectively determining errors of a plurality of sound field distribution models, and determining the sound field distribution model with the smallest error as the target distribution model corresponding to the sound field, includes:

[0023] Acquire the sound field distribution at a preset position on the sound axis;

[0024] Comparing the sound field distribution with a plurality of sound field distribution models respectively, and determining errors of the plurality of sound field distribution models;

[0025] The sound field distribution model with the smallest error is determined as the target distribution model.

[0026] In this way, the actual sound field distribution is compared with each sound field distribution model, the error between the sound field distribution model and the actual sound field distribution is determined, and the sound field distribution model with the smallest error is determined as the target distribution model, thereby improving the accuracy of sound field model construction.

[0027] In an optional implementation, the multiple preset distribution models include at least the following models:

[0028] Funnel-shaped model: the beam width of the funnel-shaped model is the largest at the zero point, the smallest at the focal position and is zero, and the beam width of the funnel-shaped model changes linearly;

[0029] Double ladder model: the beam width of the double ladder model is the largest at the zero point and the smallest at the focus position and is not zero, and the beam width of the double ladder model changes linearly;

[0030] Triangular model: the beam width of the triangular model is the smallest at the zero point and the largest at the focus position, and the beam width of the triangular model changes linearly;

[0031] Arc-shaped model: the beam width of the arc-shaped model is the largest at the zero point and the smallest at the focal position, and the slope of the beam width gradually decreases from the zero point to the focal position;

[0032] Hyperbolic model: The beam width of the hyperbolic model is the largest at the zero point and the smallest at the focal position, and the slope of the beam width gradually increases from the zero point to the focal position.

[0033] In an optional embodiment, the method further includes:

[0034] Determine the state parameters of the sound field based on the target distribution model;

[0035] Based on the state parameters, ultrasound output parameters of the ultrasound system are adjusted.

[0036] In this way, the ultrasonic output parameters of the ultrasonic system can be adjusted according to the target distribution model so that the ultrasonic output of the ultrasonic system meets the user's needs.

[0037] In a second aspect, the present invention provides a sound field evaluation device, the device comprising:

[0038] A focus position determination module, used to obtain the sound intensity distribution of the acoustic axis of the ultrasound system, and determine the focus position of the sound field on the acoustic axis based on the sound intensity distribution;

[0039] A beam width determination module, used to obtain the sound field distribution on the first plane at the focal position to determine the beam width at the focal position;

[0040] A sound field distribution model determination module is used to solve a plurality of preset distribution models based on the beam width at the focal position to obtain a plurality of sound field distribution models;

[0041] The target distribution model determination module is used to respectively determine the errors of multiple sound field distribution models, and determine the sound field distribution model with the smallest error as the target distribution model corresponding to the sound field.

[0042] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the sound field assessment method of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0043] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the sound field assessment method of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0045] Figure 1 is a schematic flow chart of a sound field evaluation method according to an embodiment of the present invention;

[0046] FIG. 2( a ) is a schematic diagram of a preset distribution model according to an embodiment of the present invention;

[0047] FIG2( b ) is a schematic diagram of a preset distribution model according to an embodiment of the present invention;

[0048] FIG2( c ) is a schematic diagram of a preset distribution model according to an embodiment of the present invention;

[0049] FIG2( d ) is a schematic diagram of a preset distribution model according to an embodiment of the present invention;

[0050] FIG2( e ) is a schematic diagram of a preset distribution model according to an embodiment of the present invention;

[0051] Figure 3 is a schematic flow chart of another sound field evaluation method according to an embodiment of the present invention;

[0052] Figure 4 is a schematic flow chart of another sound field evaluation method according to an embodiment of the present invention;

[0053] Figure 5 is a flow chart of another sound field evaluation method according to an embodiment of the present invention;

[0054] Figure 6 is a structural block diagram of a sound field evaluation device according to an embodiment of the present invention;

[0055] Figure 7is a structural block diagram of another sound field evaluation device according to an embodiment of the present invention;

[0056] Figure 8 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0058] The combination of input parameters that affect the distribution of the sound field is very wide. In the related art, many ultrasonic systems use multiple modes to simultaneously acquire and display different types of information, and each mode is composed of several types with different acoustic characteristics, so as to build an empirical model covering the entire parameter; but due to the flexibility provided by the ultrasonic system, the choice of control parameters for ultrasonic output is diverse, resulting in a time-consuming and difficult construction of the empirical model. In addition, in the related art, there is also a method of combining acoustic models with finite element analysis to construct a generative model, and calculate the sound field distribution under given probe internal geometry, material properties and excitation conditions; however, the finite element calculation is computationally intensive and time-consuming, which is not conducive to real-time prediction of the ultrasonic sound field, and each time a new probe is introduced, the corresponding finite element template needs to be modified to reflect the new geometry and material.

[0059] Based on this, an embodiment of the present invention provides a sound field evaluation method, which obtains the sound intensity distribution of the sound axis of the ultrasonic system, and determines the focal position of the sound field on the sound axis based on the sound intensity distribution; obtains the sound field distribution on the first plane at the focal position to determine the beam width at the focal position; based on the beam width at the focal position, solves multiple preset distribution models respectively to obtain multiple sound field distribution models; determines the errors of multiple sound field distribution models respectively, and determines the sound field distribution model with the smallest error as the target distribution model corresponding to the sound field. In this way, it is only necessary to determine the focal position corresponding to the ultrasonic system and the sound field distribution at the focal position to solve the sound field distribution model, which reduces the difficulty of constructing the sound field model and greatly shortens the time of constructing the sound field model.

[0060] According to an embodiment of the present invention, an embodiment of a sound field assessment method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0061] In this embodiment, a sound field evaluation method is provided, which can be used in the above-mentioned ultrasound system, etc. Figure 1 is a flow chart of a sound field evaluation method according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0062] Step S101 : acquiring the sound intensity distribution of the acoustic axis of the ultrasound system, and determining the focal position of the sound field on the acoustic axis based on the sound intensity distribution.

[0063] In the embodiment of the present invention, the sound field can be scanned by a hydrophone to obtain the sound intensity distribution on the sound axis. Each point on the sound axis of the ultrasonic system is the center point of each sound field plane in the sound field corresponding to the ultrasonic system, and the sound axis is perpendicular to these sound field planes. The sound intensity distribution of the sound axis is the distribution of the sound intensity of each point on the sound axis. The focus is the point with the largest sound intensity among the points on the sound axis.

[0064] Step S102: Acquire the sound field distribution on the first plane at the focal position to determine the beam width at the focal position.

[0065] In the embodiment of the present invention, the first plane is the sound field plane at the focus position, the acoustic axis is perpendicular to the first plane, and the focus is the center point of the first plane. In the sound field plane, the sound field gradually weakens from the center point outward until it decays to 0 at the boundary of the sound field. The width of this sound field distribution range is the beam width corresponding to the sound field plane, that is, the beam width at the center point corresponding to the sound field plane.

[0066] In an optional implementation, a range formed by points whose sound intensity is weaker than that at the center point by a preset value may be used as the sound field boundary of the sound field plane. The preset value may be 20 dB.

[0067] Step S103 , solving a plurality of preset distribution models respectively based on the beam width at the focal position to obtain a plurality of sound field distribution models.

[0068] In an embodiment of the present invention, the preset distribution model is a model that characterizes the change of the sound field beam, which is specifically embodied as a curve of the change of the beam width about a point on the acoustic axis, that is, a model that describes the boundary shape of the sound field beam. Among them, the zero point on the acoustic axis, that is, the starting point of the ultrasonic sound field, and the beam width at the zero point on the acoustic axis are related to the characteristics of the ultrasonic system itself and can be directly obtained. Then the zero point of the acoustic axis and the beam width at the zero point position form a set of known data, and the focal position and the beam width at the focal position form another set of data. According to these two sets of data, the sound field distribution model can be solved. Since it is not possible to determine in advance which preset distribution model the sound field beam conforms to, all preset distribution models are solved.

[0069] In an optional embodiment, Figure 2(a)-Figure 2(e) is a schematic diagram of a preset distribution model according to an embodiment of the present invention, such as Figure 2(a)-Figure 2(e) As shown, the multiple preset distribution models include at least the following models:

[0070] The funnel-shaped model, as shown in FIG2(a), has a beam width that is maximum at the zero point and minimum and zero at the focal position, and the beam width of the funnel-shaped model changes linearly; specifically, the boundary shape of the beam forms a funnel shape, that is, the beam width changes linearly from the zero point to the focal position, gradually decreases and decreases to zero, and then continues to change linearly from the focal position downward and gradually increases.

[0071] As shown in FIG2(b), the beam width of the double-trapezoidal model is the largest at the zero point and the smallest at the focal position and is not zero, and the beam width of the double-trapezoidal model changes linearly; specifically, the boundary shape of the beam forms a double-trapezoidal shape, which is divided into two symmetrical trapezoids from top to bottom with the focal point as the boundary, that is, from the zero point to the focal position, the beam width changes linearly, gradually decreases and decreases to a non-zero value, and then continues to change linearly from the focal position downward and gradually increases.

[0072] As shown in Figure 2(c), the beam width of the triangular model is the smallest at the zero point and the largest at the focus position, and the beam width of the triangular model changes linearly; specifically, the boundary shape of the beam forms a triangle, that is, the beam width changes linearly from the zero point downward and gradually increases.

[0073] The arc-shaped model, as shown in FIG2(d), has a maximum beam width at the zero point and a minimum beam width at the focal position, and a gradually decreasing slope of the beam width from the zero point to the focal position. Specifically, the boundary shape of the beam forms two arc shapes, which are divided into two symmetrical semicircular arcs with the focal point as the boundary, that is, from the zero point to the focal position, the beam width gradually decreases downward from the zero point and changes nonlinearly, and the beam width gradually decreases in slope, while the beam width gradually increases downward from the focal position and changes nonlinearly, and the beam width gradually increases in slope.

[0074] As shown in FIG2(e), the beam width of the hyperbolic model is the largest at the zero point and the smallest at the focal position, and the slope of the beam width gradually increases from the zero point to the focal position; specifically, the boundary shape of the beam forms two hyperbolic shapes, which are divided into two symmetrical arc curves on the left and right with the acoustic axis as the boundary, that is, from the zero point to the focal position, the beam width gradually decreases downward from the zero point and changes nonlinearly, and the slope of the beam width gradually increases, and the beam width gradually increases downward from the focal position and changes nonlinearly, and the slope of the beam width gradually decreases.

[0075] Step S104 , respectively determining the errors of the plurality of sound field distribution models, and determining the sound field distribution model with the smallest error as the target distribution model corresponding to the sound field.

[0076] In the embodiment of the present invention, in order to determine which sound field distribution model best matches the distribution of the sound field, the error between each sound field distribution model and the actual sound field distribution is determined respectively, and then the sound field distribution model with the smallest error is determined as the target distribution model corresponding to the sound field.

[0077] In an optional embodiment, the output parameters of the ultrasound system can be adjusted based on the determined target distribution model to meet the user's usage requirements. Specifically, based on the target distribution model, the state parameters of the sound field are determined; based on the state parameters, the ultrasound output parameters of the ultrasound system are adjusted. The state parameters may include focus, maximum sound intensity, sound intensity at a certain position, etc. According to the current state parameters of the sound field, the aperture, focus, etc. of the ultrasound system are adjusted accordingly, thereby adjusting the distribution of the sound field.

[0078] The sound field evaluation method provided in the embodiment of the present invention only needs to determine the focal position corresponding to the ultrasonic system and the sound field distribution at the focal position to solve the sound field distribution model, which reduces the difficulty of constructing the sound field model and greatly shortens the time for constructing the sound field model; at the same time, multiple distribution models are preset, and multiple sound field distribution models are solved respectively, and the sound field distribution model with the smallest error is determined as the target distribution model, so as to select the target distribution model that best conforms to the actual sound field distribution, thereby improving the accuracy of sound field model construction.

[0079] In this embodiment, a sound field evaluation method is provided, which can be used in the above-mentioned ultrasound system, etc. Figure 3 is a flow chart of another sound field evaluation method according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0080] Step 301 : Acquire the sound intensity distribution of the acoustic axis of the ultrasound system, and determine the focal position of the sound field on the acoustic axis based on the sound intensity distribution.

[0081] Specifically, step S301 includes:

[0082] Step S3011, determining the sound intensity peak point on the sound axis based on the sound intensity distribution.

[0083] Step S3012: determine the sound intensity peak point as the focus of the sound field to determine the focus position.

[0084] In the embodiment of the present invention, since the focus is the point with the maximum sound intensity on the acoustic axis, the point with the maximum sound intensity on the acoustic axis, that is, the peak point of sound intensity, can be determined based on the sound intensity distribution of the acoustic axis, and the peak point of sound intensity can be used as the focus of the sound field, thereby determining the focal position.

[0085] Step S302: Acquire the sound field distribution on the first plane at the focal position to determine the beam width at the focal position.

[0086] Specifically, step S302 includes:

[0087] Step S3021, obtaining the sound field distribution on the first plane at the focal position.

[0088] In the embodiment of the present invention, the first plane is a plane perpendicular to the acoustic axis. When the acoustic axis is the z axis, the first plane is the xy plane. The xy plane at the focal position is scanned by the hydrophone to obtain the sound field distribution on the first plane at the focal position.

[0089] Step S3022: determining a sound field boundary corresponding to the focus position based on the sound field distribution.

[0090] In the embodiment of the present invention, the point on the first plane where the sound intensity is 0 or the sound intensity is -20dB less than the sound intensity of the smallest center point forms the sound field boundary. Since the sound field intensity gradually decreases from the center point outward, the sound field boundary on the first plane forms a circle with the center point as the center.

[0091] Step S3023: determine the beam width based on the sound field boundary.

[0092] In the embodiment of the present invention, the beam width at the focal position is equal to the length of the lateral sound intensity distribution, that is, the beam width at the focal position is equal to the length of the sound intensity distribution on the first plane. As mentioned above, the boundary of the sound field on the first plane forms a circle with the center point as the center, and the diameter of the circle is the beam width.

[0093] Step S303: Based on the beam width at the focal position, solve multiple preset distribution models respectively to obtain multiple sound field distribution models. Figure 1 Step S103 of the illustrated embodiment will not be described in detail here.

[0094] Step S304, respectively determine the errors of multiple sound field distribution models, and determine the sound field distribution model with the smallest error as the target distribution model corresponding to the sound field. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0095] In this embodiment, a sound field evaluation method is provided, which can be used in the above-mentioned ultrasound system, etc. Figure 4 is a flow chart of another sound field evaluation method according to an embodiment of the present invention. Figure 4 As shown, the process includes the following steps:

[0096] Step S401, obtain the sound intensity distribution of the acoustic axis of the ultrasound system, and determine the focal position of the sound field on the acoustic axis based on the sound intensity distribution. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0097] Step S402, obtaining the sound field distribution on the first plane at the focal position to determine the beam width at the focal position. Figure 1 Step S102 of the illustrated embodiment will not be described in detail here.

[0098] Step S403 , solving a plurality of preset distribution models respectively based on the beam width at the focal position to obtain a plurality of sound field distribution models.

[0099] Specifically, step S403 includes:

[0100] Step S4031, obtaining aperture information of the ultrasound system.

[0101] In the embodiment of the present invention, the aperture information is one of the relevant ultrasonic output parameters set by the ultrasonic system, which can characterize the beam width at the zero point of the acoustic axis.

[0102] Step S4032: Substitute the aperture information, the focal position, and the beam width at the focal position into a plurality of preset distribution models respectively, and solve to obtain the model parameters corresponding to each of the plurality of preset distribution models.

[0103] In an embodiment of the present invention, the aperture information and the beam width at the zero point and the focal position and the focal position form two sets of data, and the preset distribution model is a relationship between the beam width and the position of a point on the acoustic axis, and the relationship only involves two unknown model parameters. Substituting these two sets of data into the preset distribution model, the unknown model parameters can be solved accordingly to obtain the sound field distribution model.

[0104] In an optional implementation, different preset distribution models correspond to different relationship equations of beam width with respect to the position of a point on the acoustic axis, which are as follows:

[0105] Funnel model:

[0106] Double ladder model:

[0107] Triangle model: BeamWidth = |a*Aper*z|;

[0108] Arc model:

[0109] Hyperbolic model:

[0110] Where BeamWidth is the beam width, z is the position of the point on the acoustic axis, Aper is the aperture information, Focus is the focus position, and a and b are model parameters.

[0111] Step S4033: Determine a plurality of sound field distribution models based on the model parameters.

[0112] In an embodiment of the present invention, the solved model parameters, as well as the aperture information and the focal position are respectively substituted into the corresponding models to obtain a sound field distribution model. Thus, according to the focal position, the beam width at the focal position and the parameters of the ultrasonic system itself, multiple sound field distribution models can be solved, thereby reducing the difficulty of constructing the sound field model and shortening the time of constructing the sound field model.

[0113] Step S404, respectively determine the errors of multiple sound field distribution models, and determine the sound field distribution model with the smallest error as the target distribution model corresponding to the sound field. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0114] In this embodiment, a sound field evaluation method is provided, which can be used in the above-mentioned ultrasound system, etc. Figure 5 FIG. 4 is a flowchart of another sound field evaluation method according to an embodiment of the present invention. Figure 5 As shown, the process includes the following steps:

[0115] Step S501, obtain the sound intensity distribution of the acoustic axis of the ultrasound system, and determine the focal position of the sound field on the acoustic axis based on the sound intensity distribution. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0116] Step S502, obtaining the sound field distribution on the first plane at the focal position to determine the beam width at the focal position. Figure 1 Step S102 of the illustrated embodiment will not be described in detail here.

[0117] Step S503: Based on the beam width at the focal position, solve multiple preset distribution models respectively to obtain multiple sound field distribution models. Figure 1 Step S103 of the illustrated embodiment will not be described in detail here.

[0118] Step S504 , respectively determining the errors of the plurality of sound field distribution models, and determining the sound field distribution model with the smallest error as the target distribution model corresponding to the sound field.

[0119] Specifically, step S504 includes:

[0120] Step S5041, obtaining the sound field distribution at a preset position on the sound axis.

[0121] In the embodiment of the present invention, several points may be preset on the acoustic axis and marked as preset positions, and the beam widths at the preset positions may be obtained by scanning the sound field distribution at the preset positions.

[0122] Step S5042: Compare the sound field distribution with the multiple sound field distribution models respectively to determine the errors of the multiple sound field distribution models.

[0123] In an embodiment of the present invention, based on the obtained sound field distribution model, the preset positions are substituted respectively to obtain the beam widths at these preset positions in each sound field distribution model, and then the beam widths at the preset positions obtained by solution are compared with the actual beam widths, and the two are subtracted to obtain the error of the sound field distribution model.

[0124] Step S5043: determine the sound field distribution model with the smallest error as the target distribution model.

[0125] In the embodiment of the present invention, the sound field distribution model with the smallest error among the sound field distribution models obtained by solving is the model that best matches the actual sound field distribution, and therefore it is determined as the target distribution model. In this way, the actual sound field distribution is compared with each sound field distribution model, the error between the sound field distribution model and the actual sound field distribution is determined, and the sound field distribution model with the smallest error is determined as the target distribution model, thereby improving the accuracy of the sound field model construction.

[0126] In this embodiment, a sound field evaluation device is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0127] This embodiment provides a sound field evaluation device, such as Figure 6 As shown, including:

[0128] A focus position determination module 601 is used to obtain the sound intensity distribution of the acoustic axis of the ultrasound system, and determine the focus position of the sound field on the acoustic axis based on the sound intensity distribution;

[0129] A beam width determination module 602 is used to obtain the sound field distribution on the first plane at the focal position to determine the beam width at the focal position;

[0130] The sound field distribution model determination module 603 is used to solve a plurality of preset distribution models based on the beam width at the focal position to obtain a plurality of sound field distribution models;

[0131] The target distribution model determination module 604 is used to respectively determine the errors of the multiple sound field distribution models, and determine the sound field distribution model with the smallest error as the target distribution model corresponding to the sound field.

[0132] In an optional embodiment, if Figure 7 As shown, the focus position determination module 601 includes:

[0133] A sound intensity peak point determination unit, used to determine the sound intensity peak point on the sound axis based on the sound intensity distribution;

[0134] The focus position determination unit is used to determine the sound intensity peak point as the focus of the sound field to determine the focus position.

[0135] In an optional embodiment, if Figure 7 As shown, the beam width determination module 602 includes:

[0136] A sound field distribution acquisition unit, used to acquire the sound field distribution on a first plane at a focal position;

[0137] A sound field boundary determination unit, used to determine a sound field boundary corresponding to a focal position based on the sound field distribution;

[0138] The beam width determination unit is used to determine the beam width based on the sound field boundary.

[0139] In an optional embodiment, if Figure 7 As shown, the sound field distribution model determination module 603 includes:

[0140] An aperture information acquisition unit, used to acquire aperture information of the ultrasound system; the aperture information is used to characterize the beam width at the zero point of the acoustic axis;

[0141] A model parameter determination unit, used to substitute the aperture information, the focal position and the beam width at the focal position into a plurality of preset distribution models respectively, and solve to obtain the model parameters corresponding to each of the plurality of preset distribution models;

[0142] The sound field distribution model determination unit is used to determine a plurality of sound field distribution models based on the model parameters.

[0143] In an optional embodiment, if Figure 7 As shown, the target distribution model determination module 604 includes:

[0144] A sound field distribution determination unit, used to obtain the sound field distribution at a preset position on the sound axis;

[0145] an error determination unit, used to compare the sound field distribution with a plurality of sound field distribution models respectively, and determine errors of the plurality of sound field distribution models;

[0146] The target distribution model determination unit is used to determine the sound field distribution model with the smallest error as the target distribution model.

[0147] In an optional implementation, the multiple preset distribution models include at least the following models:

[0148] Funnel-shaped model: the beam width of the funnel-shaped model is the largest at the zero point, the smallest at the focal position and is zero, and the beam width of the funnel-shaped model changes linearly;

[0149] Double ladder model: the beam width of the double ladder model is the largest at the zero point and the smallest at the focus position and is not zero, and the beam width of the double ladder model changes linearly;

[0150] Triangular model: the beam width of the triangular model is the smallest at the zero point and the largest at the focus position, and the beam width of the triangular model changes linearly;

[0151] Arc-shaped model: the beam width of the arc-shaped model is the largest at the zero point and the smallest at the focal position, and the slope of the beam width gradually decreases from the zero point to the focal position;

[0152] Hyperbolic model: The beam width of the hyperbolic model is the largest at the zero point and the smallest at the focal position, and the slope of the beam width gradually increases from the zero point to the focal position.

[0153] In an optional embodiment, if Figure 7 As shown, the device also includes: a parameter adjustment module; the parameter adjustment module includes:

[0154] A state parameter determination unit, used to determine the state parameters of the sound field based on the target distribution model;

[0155] The output parameter adjustment unit is used to adjust the ultrasonic output parameters of the ultrasonic system based on the state parameters.

[0156] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0157] The sound field evaluation device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0158] The embodiment of the present invention also provides a computer device having the above Figure 6 or Figure 7 The sound field evaluation device shown.

[0159] See also Figure 8 , Figure 8 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 8 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 8 A processor 10 is taken as an example.

[0160] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0161] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0162] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0163] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0164] The computer device also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 6 The example of connecting through bus is taken in the following.

[0165] The input device 30 can receive input digital or character information, and generate key signal input related to the user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0166] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0167] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the present invention.

Claims

1. A sound field evaluation method, It is characterized in that The method comprises: Acquiring a sound intensity distribution of an acoustic axis of the ultrasound system, and determining a focal position of the sound field on the acoustic axis based on the sound intensity distribution; Acquiring the sound field distribution on a first plane at the focal position to determine the beam width at the focal position; Based on the beam width at the focal position, solving a plurality of preset distribution models respectively to obtain a plurality of sound field distribution models; The errors of the multiple sound field distribution models are determined respectively, and the sound field distribution model with the smallest error is determined as the target distribution model corresponding to the sound field.

2. The method according to claim 1, It is characterized in that The step of determining the focal position of the sound field on the acoustic axis based on the sound intensity distribution comprises: Based on the sound intensity distribution, determining a sound intensity peak point on the sound axis; The sound intensity peak point is determined as the focus of the sound field to determine the focus position.

3. The method according to claim 1, It is characterized in that The acquiring the sound field distribution on the first plane at the focal position to determine the beam width at the focal position includes: Acquire the sound field distribution on the first plane at the focal position; Based on the sound field distribution, determining a sound field boundary corresponding to the focal position; The beam width is determined based on the sound field boundary.

4. The method according to claim 1, It is characterized in that The method of solving a plurality of preset distribution models based on the beam width at the focal position to obtain a plurality of sound field distribution models includes: Acquiring aperture information of the ultrasound system; the aperture information is used to characterize the beam width at the zero point of the acoustic axis; Substituting the aperture information, the focal position, and the beam width at the focal position into the multiple preset distribution models respectively, and solving to obtain the model parameters corresponding to each preset distribution model in the multiple preset distribution models; Based on the model parameters, the plurality of sound field distribution models are determined respectively.

5. The method according to claim 1, It is characterized in that The step of respectively determining the errors of the plurality of sound field distribution models and determining the sound field distribution model with the smallest error as the target distribution model corresponding to the sound field comprises: Acquiring the sound field distribution at a preset position on the sound axis; Comparing the sound field distribution with the multiple sound field distribution models respectively to determine errors of the multiple sound field distribution models; The sound field distribution model with the smallest error is determined as the target distribution model.

6. The method according to claim 1, It is characterized in that The multiple preset distribution models include at least the following models: A funnel-shaped model, wherein the beam width of the funnel-shaped model is maximum at the zero point, minimum and zero at the focal position, and the beam width of the funnel-shaped model changes linearly; A double ladder model, wherein the beam width of the double ladder model is maximum at the zero point, minimum at the focus position and is not zero, and the beam width of the double ladder model changes linearly; A triangular model, wherein the beam width of the triangular model is minimum at the zero point and maximum at the focus position, and the beam width of the triangular model changes linearly; An arc-shaped model, wherein the beam width of the arc-shaped model is the largest at the zero point and the smallest at the focal position, and the slope value of the beam width change from the zero point to the focal position gradually decreases; A hyperbolic model, wherein the beam width of the hyperbolic model is the largest at the zero point and the smallest at the focal position, and the slope of the beam width gradually increases from the zero point to the focal position.

7. The method according to any one of claims 1 to 6, It is characterized in that The method further comprises: Based on the target distribution model, determining state parameters of the sound field; Based on the state parameter, an ultrasound output parameter of the ultrasound system is adjusted.

8. A sound field evaluation device, It is characterized in that The device comprises: A focus position determination module, used to obtain the sound intensity distribution of the acoustic axis of the ultrasound system, and determine the focus position of the sound field on the acoustic axis based on the sound intensity distribution; A beam width determination module, used to obtain the sound field distribution on the first plane at the focal position to determine the beam width at the focal position; A sound field distribution model determination module, used to solve a plurality of preset distribution models respectively based on the beam width at the focal position to obtain a plurality of sound field distribution models; The target distribution model determination module is used to respectively determine the errors of the multiple sound field distribution models, and determine the sound field distribution model with the smallest error as the target distribution model corresponding to the sound field.

9. A computer device, It is characterized in that include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the sound field assessment method according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the sound field evaluation method according to any one of claims 1 to 7.

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