Ultrasonic imaging optimization method and system for real-time correction based on multi-angle deflection feature points

Abstract

According to the ultrasonic imaging optimization method and system for real-time correction based on the multi-angle deflection feature points, the historical ultrasonic image of the electronic phased array probe is obtained, the historical feature points of the historical ultrasonic image are extracted, accurate feature points are provided for further analysis of the ultrasonic image, and the accuracy of the ultrasonic imaging optimization is improved. Historical feature points are classified and marked based on a deep learning network, a sound beam distribution model is obtained through training based on a marking result, feature learning of beams transmitted by an electronic phased array probe is achieved, and the method is based on the sound beam distribution model and is combined with a sound ray tracking method. Dynamic focusing and deflection control are carried out on the current sound beam emitted by the electronic phased array probe to the target area from different angles, multi-angle target ultrasonic imaging is obtained, the spatial resolution and imaging quality of the image are improved, and a high-quality image basis is provided for further medical diagnosis.

Description

Technical Field

[0001] The present invention relates to the field of ultrasonic imaging technology, and in particular to an ultrasonic imaging optimization method and system for performing real-time correction based on multi-angle deflection feature points. Background Art

[0002] Through electronic phased arrays, real-time correction algorithms, and hardware innovations, ultrasound imaging technology has evolved from simple two-dimensional imaging to a diagnostic tool that combines high resolution, multimodal fusion, and intelligent analysis. Dynamic optimization technology based on multi-angle deflection feature points further addresses motion artifacts and insufficient resolution in traditional ultrasound, promoting its precise application in cardiology, obstetrics and gynecology, and interventional medicine. In the future, with the deep integration of AI and hardware technologies, ultrasound is expected to become a core imaging tool for precision medicine.

[0003] In the process of applying ultrasound imaging to medical diagnosis, how to optimize ultrasound imaging based on real-time correction of multi-angle deflection feature points to improve image spatial resolution and image quality is an urgent problem that needs to be solved. Summary of the Invention

[0004] The present invention provides an ultrasonic imaging optimization method and system for real-time correction based on multi-angle deflection feature points, so as to solve the problems raised in the background technology.

[0005] An ultrasonic imaging optimization method for real-time correction based on multi-angle deflection feature points, comprising:

[0006] S1: Acquire historical ultrasound images of the electronic phased array probe and extract historical feature points of the historical ultrasound images;

[0007] S2: Classify and label historical feature points based on a deep learning network, and train a sound beam distribution model based on the labeling results;

[0008] S3: Based on the acoustic beam distribution model and combined with the acoustic ray tracing method, the current acoustic beam emitted by the electronic phased array probe to the target area from different angles is dynamically focused and deflected to obtain multi-angle target ultrasonic imaging.

[0009] Preferably, in S1, acquiring historical ultrasound images of the electronic phased array probe and extracting historical feature points of the historical ultrasound images include:

[0010] Collecting historical ultrasound images of the electronic phased array probe and obtaining historical extraction information of the historical ultrasound images;

[0011] The historical feature points of the historical ultrasound images are determined based on the historical extraction information, and the feature types of the historical feature points are determined.

[0012] Preferably, in S2, classifying and labeling historical feature points based on a deep learning network includes:

[0013] Based on the feature types of historical feature points, the historical feature points are classified in combination with the deep learning network to obtain multiple historical feature point groups;

[0014] Based on the characteristic attributes of the historical feature points in each historical feature point group, the historical feature points are labeled in combination with the deep learning network to obtain the labeling results;

[0015] Based on the annotation results, all historical feature point groups are integrated to obtain the integration results.

[0016] Preferably, in S2, the beam distribution model is obtained by training based on the labeling results, including:

[0017] Set the iteration termination conditions based on the target requirements;

[0018] The historical feature points under the annotation results are used as training data to iteratively optimize the initial distribution model until the iteration termination condition is met to obtain the sound beam distribution model.

[0019] Preferably, in S3, based on the acoustic beam distribution model and in combination with the acoustic ray tracing method, the current acoustic beam emitted from the electronic phased array probe to the target area from different angles is dynamically focused and deflected to obtain multi-angle target ultrasonic imaging, including:

[0020] Based on the acoustic beam distribution model, determine the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the acoustic beam emitted by the electronic phased array probe;

[0021] Based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics, in combination with an acoustic ray tracing method, determining the acoustic beam emission characteristics of the current acoustic beam emitted by the electronic phased array probe from different angles to the target area, and determining the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the current acoustic beam;

[0022] Based on the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current sound beam, combined with the acquisition objectives of the target area, the dynamic focusing parameters and deflection control parameters of the current sound beam are determined;

[0023] Based on the dynamic focusing parameters and deflection control parameters, multi-angle target ultrasonic imaging is obtained.

[0024] Preferably, the determining of the dynamic focusing parameters of the current sound beam based on the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current sound beam in combination with the acquisition target of the target area includes:

[0025] Obtaining the echo time difference between each focus at the time of transmission focusing and the initial focusing position, determining a central energy region based on energy distribution characteristics, determining a directional convergence region based on propagation direction characteristics, and determining a focal region based on focusing characteristics; and determining multiple target focal positions and focusing time nodes at different depths based on the echo time difference and in combination with the central energy region, directional convergence region, and focal region;

[0026] Based on the target focus position and the focus time node, combined with the initial focus position, determining focus position adjustment information for transmit focus, and based on the focus position adjustment information and combined with the array element distribution of the electronic phased array probe, setting the initial excitation delay time of each array;

[0027] Establishing a depth sequence according to the depth of the focus from small to large, and determining a difference sequence of the depth sequence, and determining the number of participating array elements and the distribution of the participating array elements based on the difference sequence;

[0028] Determining a phase compensation sequence for an electronic phased array probe based on the number of participating array elements and the distribution of participating array elements, and determining an initial phase dynamic compensation value based on the phase compensation sequence;

[0029] Acquiring an ultrasonic imaging environment, determining a temperature characteristic and a sound velocity characteristic based on the ultrasonic imaging environment, and establishing a temperature compensation value and a sound velocity uniformity compensation value based on the temperature characteristic and the sound velocity characteristic respectively;

[0030] Based on the temperature compensation value and the sound velocity uniformity compensation value, respectively, determining correction values for the initial excitation delay time and the initial phase dynamic compensation value, and determining a target excitation delay time and a target phase dynamic compensation value based on the correction values;

[0031] The target excitation delay time and the target phase dynamic compensation value are used as dynamic focusing parameters for the current sound beam.

[0032] Preferably, the determining of the deflection control parameters of the current sound beam based on the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current sound beam in combination with the acquisition target of the target area includes:

[0033] Based on the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current acoustic beam, combined with the acquisition objectives of the target area, the target array element phase difference sequence of the electronic phased array probe is determined;

[0034] Based on the deflection angle calculation formula, determine the deflection angle of the adjacent array elements during the transmission of the current sound beam;

[0035] Determining whether the deflection angle satisfies the target array element phase difference sequence;

[0036] If so, determine to maintain the current deflection control parameters;

[0037] Otherwise, based on the PID feedback control algorithm, an adjustment phase difference for adjacent array elements is determined, and a current deflection control parameter is determined based on the adjusted phase difference.

[0038] An ultrasonic imaging optimization system for real-time correction based on multi-angle deflection feature points, comprising:

[0039] A feature point acquisition module is used to acquire historical ultrasound images of the electronic phased array probe and extract historical feature points of the historical ultrasound images;

[0040] The model building module is used to classify and label historical feature points based on a deep learning network, and to train a sound beam distribution model based on the labeling results;

[0041] The dynamic control module is used to dynamically focus and deflect the current sound beam emitted by the electronic phased array probe to the target area from different angles based on the sound beam distribution model and the sound ray tracing method, so as to obtain multi-angle target ultrasonic imaging.

[0042] Preferably, the feature point acquisition module includes:

[0043] A collecting unit, configured to collect historical ultrasound images of the electronic phased array probe and obtain historical extraction information of the historical ultrasound images;

[0044] A determining unit is configured to determine historical feature points of historical ultrasound images based on the historical extraction information, and determine feature types of the historical feature points.

[0045] Preferably, the dynamic control module includes:

[0046] a characteristic determination unit, for determining the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the acoustic beam emitted by the electronic phased array probe based on the acoustic beam distribution model;

[0047] a feature determination unit, configured to determine, based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics, and in combination with an acoustic ray tracing method, an acoustic beam emission characteristic of a current acoustic beam emitted by the electronic phased array probe from different angles to the target area, and determine an energy distribution characteristic, propagation direction characteristic, and focusing characteristic of the current acoustic beam;

[0048] a parameter determination unit, configured to determine a dynamic focusing parameter and a deflection control parameter of the current sound beam based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the current sound beam, in combination with a collection target for the target area;

[0049] The imaging unit is used to obtain multi-angle target ultrasonic imaging based on dynamic focusing parameters and deflection control parameters.

[0050] Compared with the prior art, the present invention has achieved the following beneficial effects:

[0051] By acquiring historical ultrasound images of the electronic phased array probe and extracting historical feature points of the historical ultrasound images, accurate feature points are provided for further analysis of the ultrasound images. The historical feature points are classified and labeled based on the deep learning network, and the beam distribution model is trained based on the labeled results to realize feature learning of the electronic phased array probe's transmitted beam. Based on the beam distribution model and combined with the sound ray tracking method, the current beam emitted by the electronic phased array probe to the target area from different angles is dynamically focused and deflected to obtain multi-angle target ultrasound imaging, thereby improving the spatial resolution and imaging quality of the image and providing a high-quality image foundation for further medical diagnosis.

[0052] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0053] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0055] Figure 1 Flowchart of an ultrasonic imaging optimization method for real-time correction based on multi-angle deflection feature points in an embodiment of the present invention;

[0056] Figure 2 Flowchart of extracting historical feature points of historical ultrasound images according to an embodiment of the present invention;

[0057] Figure 3 4 is a structural diagram of an ultrasonic imaging optimization system for real-time correction based on multi-angle deflection feature points in an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0059] Example 1:

[0060] The embodiment of the present invention provides an ultrasonic imaging optimization method based on real-time correction of multi-angle deflection feature points, such as Figure 1 Shown, including:

[0061] S1: Acquire historical ultrasound images of the electronic phased array probe and extract historical feature points of the historical ultrasound images;

[0062] S2: Classify and label historical feature points based on a deep learning network, and train a sound beam distribution model based on the labeling results;

[0063] S3: Based on the acoustic beam distribution model and combined with the acoustic ray tracing method, the current acoustic beam emitted by the electronic phased array probe to the target area from different angles is dynamically focused and deflected to obtain multi-angle target ultrasonic imaging.

[0064] In this embodiment, the historical feature points are points in historical ultrasound images that are relevant to the recognition task, and are usually anatomical structure or tissue feature points that are stable in spatial position and have discriminative properties.

[0065] In this embodiment, the acoustic beam distribution model is a mathematical model that describes the energy distribution, propagation direction, and focusing characteristics of the acoustic waves emitted by the ultrasonic probe in space.

[0066] In this embodiment, dynamic focusing and deflection control is performed on the current sound beam emitted from the target area to achieve dynamic optimization of the sound beam direction, focal position and resolution.

[0067] In this embodiment, the sound ray tracing method simulates the propagation process of sound rays in an indoor environment, including reflection, absorption and other phenomena, and finally synthesizes the sound field of the listening point and simulates various acoustic characteristics.

[0068] The beneficial effects of the above design scheme are: by acquiring historical ultrasound images of the electronic phased array probe and extracting historical feature points of the historical ultrasound images, accurate feature points are provided for further analysis of the ultrasound images, the historical feature points are classified and labeled based on the deep learning network, and the sound beam distribution model is trained based on the labeling results to realize the feature learning of the electronic phased array probe's transmitted beam, based on the sound beam distribution model, combined with the sound ray tracking method, the current sound beam emitted by the electronic phased array probe to the target area from different angles is dynamically focused and deflected to obtain multi-angle target ultrasound imaging, thereby improving the spatial resolution and imaging quality of the image and providing a high-quality image foundation for further medical diagnosis.

[0069] Example 2:

[0070] Based on Example 1, the present invention provides an ultrasonic imaging optimization method based on real-time correction of multi-angle deflection feature points, such as Figure 1 As shown, in S1, the historical ultrasound image of the electronic phased array probe is acquired, and the historical feature points of the historical ultrasound image are extracted, including:

[0071] Collecting historical ultrasound images of the electronic phased array probe and obtaining historical extraction information of the historical ultrasound images;

[0072] The historical feature points of the historical ultrasound images are determined based on the historical extraction information, and the feature types of the historical feature points are determined.

[0073] In this embodiment, the feature type of the historical feature point is, for example, a texture feature, a contour feature, or the like.

[0074] The beneficial effects of the above design scheme are: by collecting historical ultrasound images of the electronic phased array probe and obtaining historical extraction information of the historical ultrasound images, the historical feature points of the historical ultrasound images are determined based on the historical extraction information, and the feature types of the historical feature points are determined, thereby providing accurate feature points for further analysis of the ultrasound images.

[0075] Example 3:

[0076] Based on Example 1, this embodiment of the present invention provides an ultrasonic imaging optimization method for real-time correction based on multi-angle deflection feature points. In S2, historical feature points are classified and labeled based on a deep learning network, including:

[0077] Based on the feature types of historical feature points, the historical feature points are classified in combination with the deep learning network to obtain multiple historical feature point groups;

[0078] Based on the characteristic attributes of the historical feature points in each historical feature point group, the historical feature points are labeled in combination with the deep learning network to obtain the labeling results;

[0079] Based on the annotation results, all historical feature point groups are integrated to obtain the integration results.

[0080] In this embodiment, the characteristic attributes are, for example, pathological characteristics, healthy characteristics, and the like.

[0081] In this embodiment, all historical feature point groups are integrated to integrate historical feature points that are combined to implement a medical diagnosis.

[0082] The beneficial effects of the above design scheme are: by classifying historical feature points based on the feature types of historical feature points in combination with a deep learning network, multiple historical feature point groups are obtained; based on the feature attributes of the historical feature points in each historical feature point group, the historical feature points are labeled in combination with a deep learning network to obtain labeling results; based on the labeling results, all historical feature point groups are integrated to obtain integration results, providing accurate training data for model training and construction.

[0083] Example 4:

[0084] Based on Example 1, an embodiment of the present invention provides an ultrasonic imaging optimization method for real-time correction based on multi-angle deflection feature points. In S2, a beam distribution model is obtained by training based on the annotation results, including:

[0085] Set the iteration termination conditions based on the target requirements;

[0086] The historical feature points under the annotation results are used as training data to iteratively optimize the initial distribution model until the iteration termination condition is met to obtain the sound beam distribution model.

[0087] In this embodiment, the iteration termination condition is that the model performance meets the target requirement or the number of iterations reaches the maximum value.

[0088] The beneficial effect of the above design scheme is: by setting the iteration termination condition based on the target requirements, the historical feature points under the annotation results are used as training data to iteratively optimize the initial distribution model until the iteration termination condition is met, and the sound beam distribution model is obtained to realize the feature learning of the electronic phased array probe's emission beam, so as to obtain the accuracy of the ultrasound image based on the model.

[0089] Example 5:

[0090] Based on Example 1, this embodiment of the present invention provides an ultrasonic imaging optimization method based on real-time correction of multi-angle deflection feature points. In S3, based on the acoustic beam distribution model and in combination with the acoustic ray tracing method, the current acoustic beam emitted by the electronic phased array probe to the target area from different angles is dynamically focused and deflected to obtain multi-angle target ultrasonic imaging, including:

[0091] Based on the acoustic beam distribution model, determine the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the acoustic beam emitted by the electronic phased array probe;

[0092] Based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics, in combination with an acoustic ray tracing method, determining the acoustic beam emission characteristics of the current acoustic beam emitted by the electronic phased array probe from different angles to the target area, and determining the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the current acoustic beam;

[0093] Based on the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current sound beam, combined with the acquisition objectives of the target area, the dynamic focusing parameters and deflection control parameters of the current sound beam are determined;

[0094] Based on the dynamic focusing parameters and deflection control parameters, multi-angle target ultrasonic imaging is obtained.

[0095] In this embodiment, the energy distribution characteristics, propagation direction characteristics and focusing characteristics are the laws of the electronic phased array probe emitting sound beams. Based on these laws, the specific characteristic values of the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current sound beam are determined in combination with the sound beam emission characteristics of the current sound beam.

[0096] In this embodiment, the acoustic beam emission characteristics include, for example, emission direction, emission angle, emission quantity, excitation time, amplitude, and the like.

[0097] In this embodiment, the acquisition target of the target area may include, for example, the range of the acquisition area, the definition requirement of the acquired image, and the like.

[0098] The beneficial effects of the above design scheme are: by determining the dynamic focusing parameters and deflection control parameters of the current sound beam based on the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current sound beam, combined with the acquisition objectives of the target area, multi-angle target ultrasonic imaging is obtained based on the dynamic focusing parameters and deflection control parameters, thereby improving the spatial resolution and imaging quality of the image.

[0099] Example 6:

[0100] Based on Example 5, an embodiment of the present invention provides an ultrasonic imaging optimization method for real-time correction based on multi-angle deflection feature points. The method determines the dynamic focusing parameters of the current sound beam based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the current sound beam, combined with the acquisition target of the target area, including:

[0101] Obtaining the echo time difference between each focus at the time of transmission focusing and the initial focusing position, determining a central energy region based on energy distribution characteristics, determining a directional convergence region based on propagation direction characteristics, and determining a focal region based on focusing characteristics; and determining multiple target focal positions and focusing time nodes at different depths based on the echo time difference and in combination with the central energy region, directional convergence region, and focal region;

[0102] Based on the target focus position and the focus time node, combined with the initial focus position, determining focus position adjustment information for transmit focus, and based on the focus position adjustment information and combined with the array element distribution of the electronic phased array probe, setting the initial excitation delay time of each array;

[0103] Establishing a depth sequence according to the depth of the focus from small to large, and determining a difference sequence of the depth sequence, and determining the number of participating array elements and the distribution of the participating array elements based on the difference sequence;

[0104] Determining a phase compensation sequence for an electronic phased array probe based on the number of participating array elements and the distribution of participating array elements, and determining an initial phase dynamic compensation value based on the phase compensation sequence;

[0105] Acquiring an ultrasonic imaging environment, determining a temperature characteristic and a sound velocity characteristic based on the ultrasonic imaging environment, and establishing a temperature compensation value and a sound velocity uniformity compensation value based on the temperature characteristic and the sound velocity characteristic respectively;

[0106] Based on the temperature compensation value and the sound velocity uniformity compensation value, respectively, determining correction values for the initial excitation delay time and the initial phase dynamic compensation value, and determining a target excitation delay time and a target phase dynamic compensation value based on the correction values;

[0107] The target excitation delay time and the target phase dynamic compensation value are used as dynamic focusing parameters for the current sound beam.

[0108] In this embodiment, the dynamic focus parameters are controlled in terms of both focused transmit and focused receive.

[0109] In this embodiment, a temperature compensation value and a sound velocity uniformity compensation value are established based on the temperature characteristics and the sound velocity characteristics, respectively, thereby eliminating the influence of the external environment on imaging and ensuring imaging quality.

[0110] In this embodiment, the delay time is set so that the sound waves converge to form a focus at a specific depth.

[0111] In this embodiment, during the signal receiving stage, the phase compensation of each array element is dynamically adjusted according to the echo arrival time to achieve dynamic focus control.

[0112] The beneficial effects of the above design scheme are as follows: by obtaining the echo time difference between each focus at the time of transmission focusing and the initial focusing position, the central energy area is determined based on the energy distribution characteristics, the directional convergence area is determined based on the propagation direction characteristics, and the focusing area is determined based on the focusing characteristics; based on the echo time difference, multiple target focusing positions and focusing time nodes at different depths are determined in combination with the central energy area, the directional convergence area and the focusing area; based on the target focusing positions and focusing time nodes, in combination with the initial focusing position, the focus position adjustment information for transmission focusing is determined; based on the focus position adjustment information, in combination with the array element distribution of the electronic phased array probe, the initial excitation delay time of each array is set to achieve control of dynamic focusing in the transmission stage; based on the order of the depth of the focus from small to large, a depth sequence is established, and a difference sequence of the depth sequence is determined; based on the difference sequence, the number of participating array elements and the distribution of participating array elements are determined; Based on the number of participating array elements and the distribution of participating array elements, a phase compensation sequence for the electronic phased array probe is determined, an initial phase dynamic compensation value is determined based on the phase compensation sequence, an ultrasonic imaging environment is acquired, temperature characteristics and sound velocity characteristics are determined based on the ultrasonic imaging environment, a temperature compensation value and a sound velocity uniformity compensation value are established based on the temperature characteristics and the sound velocity characteristics, and control of dynamic focusing in the receiving stage is achieved. The ultrasonic imaging environment is acquired, temperature characteristics and sound velocity characteristics are determined based on the ultrasonic imaging environment, a temperature compensation value and a sound velocity uniformity compensation value are established based on the temperature characteristics and the sound velocity characteristics, correction values for the initial excitation delay time and the initial phase dynamic compensation value are determined based on the temperature compensation value and the sound velocity uniformity compensation value, and target excitation delay time and target phase dynamic compensation value are determined based on the correction values, so as to eliminate interference of the external environment on imaging, and ultimately ensure the accuracy and comprehensiveness of the acquired information of the ultrasonic image, and improve the spatial resolution of the image.

[0113] Example 7:

[0114] Based on Example 5, an embodiment of the present invention provides an ultrasonic imaging optimization method for real-time correction based on multi-angle deflection feature points. The method determines the deflection control parameters of the current sound beam based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the current sound beam, combined with the acquisition target of the target area, including:

[0115] Based on the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current acoustic beam, combined with the acquisition objectives of the target area, the target array element phase difference sequence of the electronic phased array probe is determined;

[0116] Based on the deflection angle calculation formula, determine the deflection angle of the adjacent array elements during the transmission of the current sound beam;

[0117] Determining whether the deflection angle satisfies the target array element phase difference sequence;

[0118] If so, determine to maintain the current deflection control parameters;

[0119] Otherwise, based on the PID feedback control algorithm, an adjustment phase difference for adjacent array elements is determined, and a current deflection control parameter is determined based on the adjusted phase difference.

[0120] In this embodiment, the phase difference between adjacent array elements is adjusted based on the deflection control parameter of the current sound beam, so that the sound beam is directed at different angles, thereby achieving multi-angle scanning and realizing all-round acquisition of the target area.

[0121] In this embodiment, the target array element phase difference sequence ensures that the phase differences between adjacent array elements meet the requirements.

[0122] In this embodiment, the deflection angle calculation formula is related to the speed of sound, the delay difference between adjacent array elements, and the array element spacing.

[0123] In this embodiment, the PID feedback control algorithm is pre-set according to actual conditions and is used to adjust the phase difference.

[0124] The beneficial effect of the above design scheme is: by determining the deflection control parameters of the current sound beam based on the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current sound beam, combined with the acquisition objectives of the target area, real-time control and adjustment of the array element phase difference can be achieved, thereby achieving multi-angle scanning and ensuring imaging accuracy.

[0125] Example 8:

[0126] The embodiment of the present invention provides an ultrasound imaging optimization system based on real-time correction of multi-angle deflection feature points, such as Figure 3 Shown, including:

[0127] A feature point acquisition module is used to acquire historical ultrasound images of the electronic phased array probe and extract historical feature points of the historical ultrasound images;

[0128] The model building module is used to classify and label historical feature points based on a deep learning network, and to train a sound beam distribution model based on the labeling results;

[0129] The dynamic control module is used to dynamically focus and deflect the current sound beam emitted by the electronic phased array probe to the target area from different angles based on the sound beam distribution model and the sound ray tracing method, so as to obtain multi-angle target ultrasonic imaging.

[0130] In this embodiment, the historical feature points are points in historical ultrasound images that are relevant to the recognition task, and are usually anatomical structure or tissue feature points that are stable in spatial position and have discriminative properties.

[0131] In this embodiment, the acoustic beam distribution model is a mathematical model that describes the energy distribution, propagation direction, and focusing characteristics of the acoustic waves emitted by the ultrasonic probe in space.

[0132] In this embodiment, dynamic focusing and deflection control is performed on the current sound beam emitted from the target area to achieve dynamic optimization of the sound beam direction, focal position and resolution.

[0133] The beneficial effects of the above design scheme are: by acquiring historical ultrasound images of the electronic phased array probe and extracting historical feature points of the historical ultrasound images, accurate feature points are provided for further analysis of the ultrasound images, the historical feature points are classified and labeled based on the deep learning network, and the sound beam distribution model is trained based on the labeling results to realize the feature learning of the electronic phased array probe's transmitted beam, based on the sound beam distribution model, combined with the sound ray tracking method, the current sound beam emitted by the electronic phased array probe to the target area from different angles is dynamically focused and deflected to obtain multi-angle target ultrasound imaging, thereby improving the spatial resolution and imaging quality of the image and providing a high-quality image foundation for further medical diagnosis.

[0134] Example 9:

[0135] Based on Example 8, an embodiment of the present invention provides an ultrasonic imaging optimization system for real-time correction based on multi-angle deflection feature points, wherein the feature point acquisition module includes:

[0136] A collecting unit, configured to collect historical ultrasound images of the electronic phased array probe and obtain historical extraction information of the historical ultrasound images;

[0137] A determining unit is configured to determine historical feature points of historical ultrasound images based on the historical extraction information, and determine feature types of the historical feature points.

[0138] In this embodiment, the feature type of the historical feature point is, for example, a texture feature, a contour feature, or the like.

[0139] The beneficial effects of the above design scheme are: by collecting historical ultrasound images of the electronic phased array probe and obtaining historical extraction information of the historical ultrasound images, the historical feature points of the historical ultrasound images are determined based on the historical extraction information, and the feature types of the historical feature points are determined, thereby providing accurate feature points for further analysis of the ultrasound images.

[0140] Example 10:

[0141] Based on Example 8, an embodiment of the present invention provides an ultrasonic imaging optimization system for real-time correction based on multi-angle deflection feature points, wherein the dynamic control module includes:

[0142] a characteristic determination unit, for determining the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the acoustic beam emitted by the electronic phased array probe based on the acoustic beam distribution model;

[0143] a feature determination unit, configured to determine, based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics, and in combination with an acoustic ray tracing method, an acoustic beam emission characteristic of a current acoustic beam emitted by the electronic phased array probe from different angles to the target area, and determine an energy distribution characteristic, propagation direction characteristic, and focusing characteristic of the current acoustic beam;

[0144] a parameter determination unit, configured to determine a dynamic focusing parameter and a deflection control parameter of the current sound beam based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the current sound beam, in combination with a collection target for the target area;

[0145] The imaging unit is used to obtain multi-angle target ultrasonic imaging based on dynamic focusing parameters and deflection control parameters.

[0146] In this embodiment, the energy distribution characteristics, propagation direction characteristics and focusing characteristics are the laws of the electronic phased array probe emitting sound beams. Based on these laws, the specific characteristic values of the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current sound beam are determined in combination with the sound beam emission characteristics of the current sound beam.

[0147] In this embodiment, the acoustic beam emission characteristics include, for example, emission direction, emission angle, emission quantity, excitation time, amplitude, and the like.

[0148] In this embodiment, the acquisition target of the target area may include, for example, the range of the acquisition area, the definition requirement of the acquired image, and the like.

[0149] The beneficial effects of the above design scheme are: by determining the dynamic focusing parameters and deflection control parameters of the current sound beam based on the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current sound beam, combined with the acquisition objectives of the target area, multi-angle target ultrasonic imaging is obtained based on the dynamic focusing parameters and deflection control parameters, thereby improving the spatial resolution and imaging quality of the image.

[0150] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of this application document and its equivalents, the present invention is intended to include these modifications and variations.

Claims

1. An ultrasonic imaging optimization method based on real-time correction of multi-angle deflection feature points, characterized in that: include: S1: Acquire historical ultrasound images of the electronic phased array probe and extract historical feature points of the historical ultrasound images; S2: Classify and label historical feature points based on a deep learning network, and train a sound beam distribution model based on the labeling results; S3: Based on the acoustic beam distribution model and combined with the acoustic ray tracing method, the current acoustic beam emitted by the electronic phased array probe to the target area from different angles is dynamically focused and deflected to obtain multi-angle target ultrasonic imaging.

2. The ultrasonic imaging optimization method based on real-time correction of multi-angle deflection feature points according to claim 1, characterized in that: In S1, the historical ultrasound images of the electronic phased array probe are acquired, and historical feature points of the historical ultrasound images are extracted, including: Collecting historical ultrasound images of the electronic phased array probe and obtaining historical extraction information of the historical ultrasound images; The historical feature points of the historical ultrasound images are determined based on the historical extraction information, and the feature types of the historical feature points are determined.

3. The ultrasonic imaging optimization method based on real-time correction of multi-angle deflection feature points according to claim 1, characterized in that: In S2, historical feature points are classified and labeled based on a deep learning network, including: Based on the feature types of historical feature points, the historical feature points are classified in combination with the deep learning network to obtain multiple historical feature point groups; Based on the characteristic attributes of the historical feature points in each historical feature point group, the historical feature points are labeled in combination with the deep learning network to obtain the labeling results; Based on the annotation results, all historical feature point groups are integrated to obtain the integration results.

4. The ultrasonic imaging optimization method based on real-time correction of multi-angle deflection feature points according to claim 1, characterized in that: In S2, the beam distribution model is obtained by training based on the annotation results, including: Set iteration termination conditions based on target requirements; The historical feature points under the annotation results are used as training data to iteratively optimize the initial distribution model until the iteration termination condition is met to obtain the sound beam distribution model.

5. The ultrasonic imaging optimization method based on real-time correction of multi-angle deflection feature points according to claim 1, characterized in that: In S3, based on the acoustic beam distribution model and in combination with the acoustic ray tracing method, the current acoustic beam emitted from the electronic phased array probe to the target area from different angles is dynamically focused and deflected to obtain multi-angle target ultrasonic imaging, including: Based on the acoustic beam distribution model, determine the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the acoustic beam emitted by the electronic phased array probe; Based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics, in combination with an acoustic ray tracing method, determining the acoustic beam emission characteristics of the current acoustic beam emitted by the electronic phased array probe from different angles to the target area, and determining the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the current acoustic beam; Based on the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current sound beam, combined with the acquisition objectives of the target area, the dynamic focusing parameters and deflection control parameters of the current sound beam are determined; Based on the dynamic focusing parameters and deflection control parameters, multi-angle target ultrasonic imaging is obtained.

6. The ultrasonic imaging optimization method based on real-time correction of multi-angle deflection feature points according to claim 5, characterized in that: The determining of the dynamic focusing parameters of the current sound beam based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the current sound beam in combination with the acquisition target of the target area includes: Obtaining the echo time difference between each focus at the time of transmission focusing and the initial focusing position, determining a central energy region based on energy distribution characteristics, determining a directional convergence region based on propagation direction characteristics, and determining a focal region based on focusing characteristics; and determining multiple target focal positions and focusing time nodes at different depths based on the echo time difference and in combination with the central energy region, directional convergence region, and focal region; Based on the target focus position and the focus time node, combined with the initial focus position, determining focus position adjustment information for transmit focus, and based on the focus position adjustment information and combined with the array element distribution of the electronic phased array probe, setting the initial excitation delay time of each array; Establishing a depth sequence according to the depth of the focus from small to large, and determining a difference sequence of the depth sequence, and determining the number of participating array elements and the distribution of the participating array elements based on the difference sequence; Determining a phase compensation sequence for an electronic phased array probe based on the number of participating array elements and the distribution of participating array elements, and determining an initial phase dynamic compensation value based on the phase compensation sequence; Acquiring an ultrasonic imaging environment, determining a temperature characteristic and a sound velocity characteristic based on the ultrasonic imaging environment, and establishing a temperature compensation value and a sound velocity uniformity compensation value based on the temperature characteristic and the sound velocity characteristic respectively; Based on the temperature compensation value and the sound velocity uniformity compensation value, respectively, determining correction values for the initial excitation delay time and the initial phase dynamic compensation value, and determining a target excitation delay time and a target phase dynamic compensation value based on the correction values; The target excitation delay time and the target phase dynamic compensation value are used as dynamic focusing parameters for the current sound beam.

7. The ultrasonic imaging optimization method based on real-time correction of multi-angle deflection feature points according to claim 5, characterized in that: The step of determining the deflection control parameters of the current sound beam based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the current sound beam and in combination with the acquisition target of the target area includes: Based on the energy distribution characteristics, propagation direction characteristics and focusing characteristics of the current acoustic beam, combined with the acquisition objectives of the target area, the target array element phase difference sequence of the electronic phased array probe is determined; Based on the deflection angle calculation formula, determine the deflection angle of the adjacent array elements during the transmission of the current sound beam; Determining whether the deflection angle satisfies the target array element phase difference sequence; If so, determine to maintain the current deflection control parameters; Otherwise, based on the PID feedback control algorithm, an adjustment phase difference for adjacent array elements is determined, and a current deflection control parameter is determined based on the adjusted phase difference.

8. An ultrasonic imaging optimization system for real-time correction based on multi-angle deflection feature points, used in the ultrasonic imaging optimization method according to claim 1, characterized in that: include: A feature point acquisition module is used to acquire historical ultrasound images of the electronic phased array probe and extract historical feature points of the historical ultrasound images; The model building module is used to classify and label historical feature points based on a deep learning network, and to train a sound beam distribution model based on the labeling results; The dynamic control module is used to dynamically focus and deflect the current sound beam emitted by the electronic phased array probe to the target area from different angles based on the sound beam distribution model and the sound ray tracing method, so as to obtain multi-angle target ultrasonic imaging.

9. The ultrasonic imaging optimization system for real-time correction based on multi-angle deflection feature points according to claim 8, characterized in that: The feature point acquisition module includes: A collecting unit, configured to collect historical ultrasound images of the electronic phased array probe and obtain historical extraction information of the historical ultrasound images; A determining unit is configured to determine historical feature points of historical ultrasound images based on the historical extraction information, and determine feature types of the historical feature points.

10. The ultrasonic imaging optimization system for real-time correction based on multi-angle deflection feature points according to claim 8, characterized in that: The dynamic control module includes: a characteristic determination unit, for determining the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the acoustic beam emitted by the electronic phased array probe based on the acoustic beam distribution model; a feature determination unit, configured to determine, based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics, and in combination with an acoustic ray tracing method, an acoustic beam emission characteristic of a current acoustic beam emitted by the electronic phased array probe from different angles to the target area, and determine an energy distribution characteristic, propagation direction characteristic, and focusing characteristic of the current acoustic beam; a parameter determination unit, configured to determine a dynamic focusing parameter and a deflection control parameter of the current sound beam based on the energy distribution characteristics, propagation direction characteristics, and focusing characteristics of the current sound beam, in combination with a collection target for the target area; The imaging unit is used to obtain multi-angle target ultrasonic imaging based on dynamic focusing parameters and deflection control parameters.

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