Method and apparatus for cardiac function analysis, ultrasonic imaging device and storage medium

Abstract

The present application relates to the technical field of ultrasonic imaging, and discloses a cardiac function analysis method and device, an ultrasonic imaging device and a storage medium, the method comprising: based on a predetermined cardiac function evaluation mode, identifying at least a mitral valve orifice position, a mitral annulus ventricular septum position and a mitral annulus lateral wall position in a four-chamber heart section of a heart; simultaneously calling corresponding pulse Doppler imaging processing objects; based on the called pulse Doppler imaging processing objects, generating mitral valve orifice spectral data, mitral annulus ventricular septum spectral data and mitral annulus lateral wall spectral data at the same time, measuring cardiac function and obtaining a cardiac function analysis result; the comprehensiveness and accuracy of cardiac function evaluation are improved, the problem of measurement results not corresponding due to cardiac movement is reduced, the operation process of a doctor is reduced, the operation time of the doctor is reduced, and the process of cardiac diastolic function detection is optimized.

Description

Technical Field

[0001] This invention relates to the field of ultrasound imaging technology, specifically to methods, devices, ultrasound imaging equipment, and storage media for cardiac function analysis. Background Technology

[0002] Ultrasound is a commonly used medical diagnostic device in modern society, playing a crucial role in the diagnosis of many diseases. The core idea of ​​an ultrasound imaging system is to utilize the physical interaction between ultrasound waves and the tissue being probed, receive the information carried in the ultrasound echoes, and then reconstruct various patterns of tissue information images through a series of processing steps. This allows doctors to understand the physiological and pathological conditions of the human body. However, in the method of identifying cardiac sections based on the Automated Diastolic Function (Auto DF) and calling Pulse Wave Doppler (PW) imaging, the measurable range is too small because PW has only one sampling gate, making it impossible to compare tissues at different locations in real time. When the traditional Auto DF function calls PW functions at different locations of the heart, it can only call them one by one. Doctors cannot see PW measurement data from different locations of the heart simultaneously. Furthermore, since the heart is constantly moving, acquiring data from different locations of the heart one by one leads to a lack of synchronization in the acquired data, affecting the diagnostic results. Summary of the Invention

[0003] This invention provides a method, apparatus, ultrasound imaging device, and storage medium for cardiac function analysis, in order to solve the problem that the acquisition of data from different locations of the heart is not synchronized under a single-gate PW function, resulting in the inability to simultaneously view PW measurement data from different locations of the heart.

[0004] In a first aspect, the present invention provides a method for analyzing cardiac function, the method comprising: Based on a pre-determined cardiac function assessment model, at least the positions of the mitral valve orifice, the interventricular septum of the valve annulus, and the lateral wall of the valve annulus in the four-chamber view of the heart should be identified. Simultaneously, the pulse Doppler imaging processing objects corresponding to the mitral valve orifice position, annular septal position, and annular lateral wall position are invoked respectively; Based on the various pulse Doppler imaging processing objects called, the mitral valve orifice spectrum data, valve annulus septum spectrum data, and valve annulus lateral wall spectrum data are generated at the same time. Cardiac function is measured based on spectral data of the valve orifice, the interventricular septum of the valve annulus, and the lateral wall of the valve annulus, and cardiac function analysis results are obtained.

[0005] This invention, through a pre-set evaluation mode, identifies and simultaneously retrieves pulsed Doppler imaging objects corresponding to the mitral valve orifice, annulus, interventricular septum, and annulus lateral wall in the four-chamber view of the heart. This enables the synchronous generation and measurement of spectral data at different locations of the heart at the same time, thereby providing physicians with comprehensive functional analysis results of the mitral valve orifice position, annulus, interventricular septum position, and annulus lateral wall position within the same cardiac cycle. This improves the comprehensiveness and accuracy of cardiac function assessment, reduces the problem of measurement discrepancies caused by cardiac motion, and also reduces the physician's operational procedures and time, optimizing the process of cardiac diastolic function testing.

[0006] In one optional implementation, simultaneously calling the Doppler imaging processing objects corresponding to the mitral valve orifice position, the annular septal position, and the annular lateral wall position, respectively, includes: Based on the identified valve orifice location, the determined first pulse Doppler imaging processing object is invoked; Based on the identified location of the annulus ventricular septum, the determined second-pulse Doppler imaging processing object is invoked; Based on the identified location of the lateral wall of the valve annulus, the determined third pulse Doppler imaging processing object is invoked. The sampling gate position and sampling line number of the first pulse Doppler imaging processing object, the second pulse Doppler imaging processing object, and the third pulse Doppler imaging processing object are different.

[0007] This invention identifies the valve orifice, annulus, interventricular septum, and annulus lateral wall positions in the four-chamber view of the heart, and simultaneously calls the corresponding pulse Doppler imaging processing objects. This enables the synchronous acquisition and differentiation of Doppler data from different locations of the heart at the same time, providing doctors with comprehensive functional analysis results from multiple key locations within the same cardiac cycle. This facilitates doctors in simultaneously viewing and comparing measurement data from different locations, improving the comprehensiveness and accuracy of cardiac function assessment.

[0008] In one optional implementation, based on the invoked pulse Doppler imaging processing objects, mitral valve orifice spectral data, annular septal spectral data, and annular lateral wall spectral data are generated at the same time, including: Acquire the valve orifice position signal, valve annulus septum position signal, and valve annulus lateral wall position signal at the current moment; Based on the valve orifice position signal, determine the first pulse frequency parameter of the first pulse Doppler imaging processing object, and generate valve orifice spectrum data based on the first pulse frequency parameter; Based on the annulus ventricular septum position signal, the second pulse frequency parameter of the second pulse Doppler imaging processing object is determined, and annulus ventricular septum spectral data is generated based on the second pulse frequency parameter; Based on the position signal of the valve annulus sidewall, the third pulse frequency parameter of the third pulse Doppler imaging object is determined, and the valve annulus sidewall spectral data is generated based on the third pulse frequency parameter. Among them, the signal frequency of the valve orifice position signal is higher than that of the valve annulus septum position signal and the valve annulus lateral wall position signal.

[0009] This invention determines the first pulse frequency parameter of the first pulse Doppler imaging processing object based on the valve orifice position signal, the second pulse frequency parameter of the second pulse Doppler imaging processing object based on the valve annulus ventricular septum position signal, and the third pulse frequency parameter of the third pulse Doppler imaging processing object based on the valve annulus lateral wall position signal, thereby generating valve orifice spectrum data, valve annulus ventricular septum spectrum data, and valve annulus lateral wall spectrum data. This invention enables the use of different parameters for signals of different frequencies, resulting in better output spectrum effects and improving the image display quality of the spectrum data.

[0010] In one optional implementation, the first pulse Doppler imaging processing object includes a first sampling gate; based on the valve orifice position signal, a first pulse frequency parameter of the first pulse Doppler imaging processing object is determined; and valve orifice spectral data is generated based on the first pulse frequency parameter, including: The first pulse frequency parameter is determined based on the sampling gate position of the first sampling gate and the sampling depth corresponding to that sampling gate position; Based on the first pulse frequency parameter, ultrasonic echo signals are extracted at the sampling gate position of the first sampling gate according to a preset sampling depth; Valve orifice spectral data are generated based on the ultrasonic echo signal at a preset sampling depth.

[0011] This invention determines the pulse frequency parameter by the position of the first sampling gate and the corresponding sampling depth during the first pulse Doppler imaging process, and extracts the ultrasound echo signal at a preset depth based on the parameter, ultimately generating valve orifice spectrum data. This achieves targeted acquisition of ultrasound echoes at the target valve orifice location, thereby generating high-precision valve orifice spectrum data, which is beneficial to improving the accuracy of cardiac function assessment.

[0012] In one optional implementation, the second pulse Doppler imaging processing object includes a second sampling gate. Based on the annulus ventricular septum position signal, a second pulse frequency parameter of the second pulse Doppler imaging processing object is determined. Based on the second pulse frequency parameter, annulus ventricular septum spectral data is generated, including: The second pulse frequency parameter is determined based on the sampling gate position of the second sampling gate and the sampling depth corresponding to that sampling gate position; Based on the second pulse frequency parameter, the ultrasonic echo signal is extracted at the sampling gate position of the second sampling gate according to the first fractional sampling depth. Based on the first fractional sampling depth, ultrasonic echo signals are extracted to generate spectral data of the annulus ventricular septum.

[0013] This invention determines the pulse frequency parameter by the position of the second sampling gate and the corresponding sampling depth during the second pulse Doppler imaging process, and extracts the ultrasound echo signal based on the parameter at a first fractional sampling depth, ultimately generating valve annulus-ventricular septum spectral data. This achieves targeted acquisition of ultrasound echoes at the target valve annulus-ventricular septum location, thereby generating high-precision valve annulus-ventricular septum spectral data, which is beneficial to improving the accuracy of cardiac function assessment.

[0014] In one optional implementation, the third pulse Doppler imaging processing object includes a second sampling gate, and determines the third pulse frequency parameter of the third pulse Doppler imaging processing object based on the valve annulus sidewall position signal, and generates valve annulus sidewall spectral data based on the third pulse frequency parameter, including: The third pulse frequency parameter is determined based on the sampling gate position of the third sampling gate and the sampling depth corresponding to that sampling gate position; Based on the third pulse frequency parameter, ultrasonic echo signals are extracted at the sampling gate position of the third sampling gate according to the second fractional sampling depth; The sidewall spectral data of the valve ring are generated by extracting the ultrasonic echo signal based on the second fractional sampling depth.

[0015] This invention determines the pulse frequency parameter by the position of the third sampling gate and the corresponding sampling depth during the third pulse Doppler imaging process, and extracts the ultrasound echo signal based on the parameter at a second fractional sampling depth, ultimately generating valve annulus lateral wall spectral data. This achieves targeted acquisition of ultrasound echoes at the target valve annulus lateral wall location, thereby generating high-precision valve annulus lateral wall spectral data, which is beneficial to improving the accuracy of cardiac function assessment.

[0016] In one optional implementation, cardiac function is measured based on valve orifice spectral data, valve annulus septum spectral data, and valve annulus lateral wall spectral data to obtain cardiac function analysis results, including: Based on valve orifice spectral data, the early filling peak velocity and late filling peak velocity of the first pulse Doppler imaging object are identified, and the ratio between the early filling peak velocity and the late filling peak velocity is calculated to obtain the first analysis result of cardiac function analysis. Based on the spectral data of the mitral annulus septum and the spectral data of the mitral annulus lateral wall, the tissue Doppler imaging mode and the pulsed Doppler imaging mode were activated to obtain the early diastolic myocardial motion velocity at the mitral annulus measured by tissue Doppler. The ratio of the early filling peak velocity to the early diastolic myocardial motion velocity at the mitral annulus was measured to obtain the second analysis result of the cardiac function analysis.

[0017] This invention assesses cardiac function by analyzing the ratio of early filling peak velocity to late filling peak velocity and measuring the ratio of early filling peak velocity to early diastolic myocardial motion velocity at the mitral valve annulus as spectral data measurement results, providing reliable data support for disease diagnosis.

[0018] In a second aspect, the present invention provides a cardiac function analysis device, the device comprising: The identification module is used to identify at least the mitral valve orifice location, the interventricular septum location, and the lateral wall location of the mitral valve in a four-chamber view of the heart, based on a pre-determined cardiac function assessment pattern. The calling module is used to simultaneously call the pulse Doppler imaging processing objects corresponding to the mitral valve orifice position, the annular septal position, and the annular lateral wall position, respectively. The generation module is used to generate mitral valve orifice spectral data, annular septal spectral data, and annular lateral wall spectral data at the same time based on the various pulse Doppler imaging processing objects called. The analysis module is used to measure cardiac function based on valve orifice spectral data, valve annulus septum spectral data, and valve annulus lateral wall spectral data, and obtain cardiac function analysis results.

[0019] Thirdly, the present invention provides an ultrasound imaging device, the ultrasound imaging device including a controller, the controller including: The memory and the processor are interconnected and communicate with each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the method described in the first aspect or any of its corresponding embodiments.

[0020] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to perform the method described in the first aspect or any corresponding embodiment thereof. Attached Figure Description

[0021] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of an application scenario according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the first type of cardiac function analysis method according to an embodiment of the present invention; Figure 3This is a schematic diagram of a second process for a cardiac function analysis method according to an embodiment of the present invention; Figure 4 This is a flowchart of the multi-PW used for Auto DF spectrum processing in the cardiac function analysis method according to an embodiment of the present invention; Figure 5 This is a structural block diagram of a cardiac function analysis device according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the controller of the ultrasound imaging device according to an embodiment of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0025] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0026] As an optional application scenario of this invention, such as Figure 1 As shown, a schematic diagram of a cardiac function analysis method is provided, including an ultrasound imaging device. The ultrasound imaging device includes a controller 101, which is used to execute the cardiac function analysis method. The overall process of the controller 101 executing the cardiac function analysis method is detailed in the relevant description of the method embodiment below, and will not be repeated hereafter.

[0027] Ultrasound is a commonly used medical diagnostic device in modern society, playing a vital role in the diagnosis of many diseases. The core idea of ​​the ultrasound imaging system is to utilize the physical interaction between ultrasound waves (frequency greater than 20kHz) and the tissue being detected, receive the information carried in the ultrasound echo, and then reconstruct it into various modes of tissue information images through a series of processing steps, making it easier for doctors to understand the physiological and pathological conditions of the human body.

[0028] Heart failure is a leading cause of death from various cardiovascular diseases. The diagnosis of heart failure is generally based on a comprehensive assessment of clinical manifestations, laboratory results, and medical imaging examinations. Echocardiography, due to its relatively simple and non-invasive nature, is the primary imaging technique for evaluating cardiac structure and function.

[0029] Echocardiography can assess left ventricular diastolic function and detect early cardiac dysfunction in susceptible individuals such as those with hypertension, left ventricular hypertrophy, diabetes, obesity, and myocardial ischemia. In patients with impaired cardiac systolic function, it can assess elevated left ventricular filling pressure and help predict prognosis. Based on cardiac structure, estimated left ventricular diastolic function, and filling pressure, it is of great value in differentiating other diseases such as dyspnea caused by lung disease.

[0030] The Auto DF (Automated Diastolic Function) can automatically identify cardiac cross-sections and automatically invoke Pulse Wave Doppler imaging to automatically assess ventricular or diastolic function, assisting doctors in making detailed diagnoses of patients' cardiac dysfunction.

[0031] PW (Pulse Wave Doppler) imaging is an imaging function of ultrasound. PW refers to the transmission of ultrasound waves as pulse waveforms. The transmitted pulse waveform interacts with the tissue being detected through physical processes such as refraction and reflection. The ultrasound echo carrying the signal from the target tissue is then received, processed, and used to form a spectral image.

[0032] Auto DF automatically identifies the four-chamber view of the heart, automatically identifies the mitral valve orifice position in the four-chamber view of the heart and automatically activates the PW mode, automatically identifies the E peak and A peak in the PW spectrogram, and thus obtains the E / A ratio result; in addition, it automatically identifies the position of the mitral valve annulus, interventricular septum and annulus lateral wall in the four-chamber view of the heart and automatically activates the TDI tissue Doppler imaging mode and PW mode, automatically identifies the E' in the tissue Doppler spectrogram, and thus obtains the E / E' ratio result; thus it is used to assess the diastolic function of the left ventricle.

[0033] However, because there is only one PW sampling gate, the measurable range is too small, and it is impossible to compare different tissues in real time. Therefore, the traditional Auto DF function can only call the PW function at different locations of the heart one by one, and doctors cannot see the PW measurement data of different locations of the heart at the same time. Since the heart is constantly moving, obtaining data from different locations of the heart one by one will result in asynchronous data, which may affect the diagnosis. Moreover, the process of doctors switching between different locations of the heart and obtaining parameter results takes several seconds, which is time-consuming for busy doctors, and the operation is not simple enough, requiring repeated clicks.

[0034] According to an embodiment of the present invention, a method for analyzing cardiac function is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0035] This embodiment provides a method for analyzing cardiac function, which can be used in the aforementioned ultrasound imaging equipment. Figure 2 This is a schematic flowchart of a first method for analyzing cardiac function according to an embodiment of the present invention, as shown below. Figure 2 As shown, the process includes the following steps: Step S201: Based on a predetermined cardiac function assessment model, at least the positions of the mitral valve orifice, the interventricular septum of the valve annulus, and the lateral wall of the valve annulus in the four-chamber view of the heart are identified.

[0036] It should be noted that cardiac function assessment modes include, but are not limited to, cardiac function assessment modes that automatically identify cardiac sections using the Auto DF (Automated Diastolic Function) automatic diastolic function. In this embodiment, the Auto DF automatic diastolic function can automatically identify cardiac sections and can automatically identify the position of the mitral valve orifice, the position of the interventricular septum of the valve annulus, and the position of the lateral wall of the valve annulus in the cardiac section.

[0037] It should be noted that the recognition result of the heart section based on the Auto DF automatic diastolic function is determined by a professional (doctor) placing an ultrasound imaging device at the patient's heart location. The specific location of the ultrasound imaging device determines the result. When the professional performs cardiac function assessment, the Auto DF can be controlled to automatically recognize the heart section by moving the ultrasound imaging device.

[0038] For example, when a doctor needs to detect whether a patient has heart failure, the Auto DF can be controlled by moving the ultrasound imaging device to automatically identify the position of the mitral valve orifice, the position of the ventricular septum, and the position of the lateral wall of the mitral valve in a cross-section of the heart.

[0039] Step S202: Simultaneously call the pulse Doppler imaging processing objects corresponding to the mitral valve orifice position, the annulus septum position, and the annulus lateral wall position, respectively.

[0040] It should be noted that the pulsed Doppler imaging processing object in this embodiment refers to PW (Pulse Wave Doppler) imaging, which is an imaging function of ultrasound. PW refers to the method of emitting ultrasonic waves as pulse waveforms. The emitted pulse waveform interacts with the tissue being detected through physical processes such as refraction and reflection. The ultrasonic echo carrying the signal of the target tissue is then received and processed to form a spectral image.

[0041] In this embodiment, Auto DF can simultaneously identify the position of the mitral valve orifice, the position of the interventricular septum of the valve annulus, and the position of the lateral wall of the valve annulus in the cardiac cross-section, and simultaneously call up the pulse Doppler imaging processing objects corresponding to the positions of the mitral valve orifice, the interventricular septum of the valve annulus, and the lateral wall of the valve annulus.

[0042] In this context, "at the same moment" refers to the same cycle of the heartbeat, ensuring the temporal synchronicity of ultrasound imaging results. This allows doctors to simultaneously view pulse wave (PW) measurement data from different locations of the heart, improving the accuracy of disease diagnosis.

[0043] Step S203: Based on the various pulse Doppler imaging processing objects called, generate mitral valve orifice spectrum data, annular septal spectrum data, and annular lateral wall spectrum data at the same time.

[0044] It should be noted that mitral valve orifice spectral data, annular septal spectral data, and annular lateral wall spectral data can assess cardiac diastolic function, which is the process by which blood flows from the lungs back to the left ventricle.

[0045] Among them, the mitral valve orifice spectral data refers to the early diastolic peak velocity (E peak) and late diastolic peak velocity (A peak) of mitral valve blood flow; the E / A ratio is used as one of the indicators for assessing cardiac diastolic function.

[0046] Among them, the mitral valve annulus-interventricular septum spectral data refers to the tissue Doppler imaging data of the mitral valve annulus-interventricular septum, usually recorded as the e' peak. It measures the velocity of the lateral valve annulus of the interventricular septum during diastole. It reflects the relaxation velocity or elasticity of the myocardium itself and is less affected by the cardiac filling pressure.

[0047] Among them, the lateral wall spectral data of the mitral valve refers to the tissue Doppler imaging data of the lateral wall of the mitral valve, which is usually recorded as the e' peak, similar to the interventricular septum side; however, it measures the velocity of the lateral wall annulus motion, and the amplitude of lateral wall motion is usually greater than that of the interventricular septum. The E / e' ratio is used as another indicator to assess cardiac diastolic function, specifically assessing the filling pressure of the left ventricle.

[0048] Step S204: Based on the spectral data of the valve orifice, the spectral data of the valve annulus and the spectral data of the valve annulus lateral wall, the cardiac function is measured to obtain the cardiac function analysis results.

[0049] It should be noted that doctors measure and assess a patient's cardiac function by using spectral data from the valve orifice, valve annulus, interventricular septum, and valve annulus lateral wall at the same time, thereby obtaining cardiac function analysis results.

[0050] The cardiac function analysis method provided in this embodiment identifies and simultaneously calls the pulse Doppler imaging objects corresponding to the mitral valve orifice, annulus, interventricular septum, and annulus lateral wall in the four-chamber view of the heart through a pre-set evaluation mode. This enables the synchronous generation and measurement of spectral data at different locations of the heart at the same time, thereby providing doctors with comprehensive functional analysis results of the mitral valve orifice position, annulus, interventricular septum position, and annulus lateral wall position within the same cardiac cycle. This improves the comprehensiveness and accuracy of cardiac function assessment, reduces the problem of measurement discrepancies caused by cardiac motion, and also reduces the doctor's operation procedures and operation time, optimizing the process of cardiac diastolic function testing.

[0051] This embodiment provides a method for analyzing cardiac function, which can be used in the aforementioned ultrasound imaging equipment. Figure 3 This is a schematic diagram of a second flowchart of a cardiac function analysis method according to an embodiment of the present invention, as shown below. Figure 3 As shown, the process includes the following steps: Step S301: Based on a pre-determined cardiac function assessment model, identify at least the mitral valve orifice location, the interventricular septum location, and the lateral wall location of the mitral valve in a four-chamber view of the heart. See details below. Figure 2 Step S201 of the illustrated embodiment will not be described again here.

[0052] Step S302: Simultaneously call the pulse Doppler imaging processing objects corresponding to the mitral valve orifice position, the annulus septum position, and the annulus lateral wall position, respectively.

[0053] Specifically, step S302 includes: Step S3021: Based on the identified valve position, call the determined first pulse Doppler imaging processing object.

[0054] It should be noted that the first pulse Doppler imaging process is the first PW; the first PW can select the measurement depth of the valve orifice position by using the first sampling gate.

[0055] Step S3022: Based on the identified location of the ventricular septum of the annulus, the determined second pulse Doppler imaging processing object is invoked.

[0056] It should be noted that the second pulse Doppler imaging process is the second PW; the second PW can select the measurement depth of the ventricular septum position of the annulus by using the second sampling gate.

[0057] Step S3023: Based on the identified position of the lateral wall of the valve annulus, the determined third pulse Doppler imaging processing object is invoked, wherein the sampling gate position and sampling line number of the first pulse Doppler imaging processing object, the second pulse Doppler imaging processing object and the third pulse Doppler imaging processing object are different.

[0058] It should be noted that the third pulse Doppler imaging processing is the third PW; the third PW can select the measurement depth of the valve annulus sidewall position by using the third sampling gate.

[0059] It should be noted that when doctors need to measure the blood flow spectrum at different locations in the heart, a sampling gate needs to be placed. Only blood flow signals or tissue motion signals within the sampling gate's range will be received by the device and converted into spectral data.

[0060] The sampling line number of the sampling gate is because the ultrasound equipment needs to determine the location by calculating the time of sound wave return. The location corresponding to the depth of the probe can be regarded as a line number or parameter value. The purpose is to align the echo signals from different depths of different sampling gates in time. The specific sampling line number can also be used to distinguish signals from different locations of the heart to ensure that the data are not confused during synchronous acquisition.

[0061] The cardiac function analysis method provided in this embodiment, by identifying the valve orifice position, valve annulus interventricular septum position, and valve annulus lateral wall position in the four-chamber view of the heart, calls the corresponding pulse Doppler imaging processing objects at the same time, thereby realizing the synchronous acquisition and differentiation of Doppler data at different positions of the heart at the same time. This provides doctors with comprehensive functional analysis results of multiple key positions within the same cardiac cycle, making it easier for doctors to view and compare measurement data at different positions simultaneously, thus improving the comprehensiveness and accuracy of cardiac function assessment.

[0062] Step S303: Based on the various pulse Doppler imaging processing objects called, generate mitral valve orifice spectrum data, annular septal spectrum data, and annular lateral wall spectrum data at the same time.

[0063] Specifically, step S303 includes: Step S3031: Obtain the valve orifice position signal, valve annulus septum position signal, and valve annulus lateral wall position signal at the current time.

[0064] It should be noted that in this embodiment, the entire signal line containing the sampling line of each sampling gate includes the signals at each sampling gate location. Auto DF needs to identify different clinical parameters under different signal types. Under valve orifice signals, Auto DF needs to identify the E-peak and A-peak of the cardiac cycle; under valve annulus lateral wall signals, Auto DF needs to identify the e'-peak of the cardiac cycle; and under valve annulus septum signals, Auto DF needs to identify the e'-peak of the cardiac cycle. Therefore, when using multiple PWs for Auto DF to simplify the process, it is necessary to simultaneously output multiple sets of clinical parameter identification results with different spectra.

[0065] Step S3032: Determine the first pulse frequency parameter of the first pulse Doppler imaging processing object based on the valve orifice position signal, and generate valve orifice spectrum data based on the first pulse frequency parameter.

[0066] The first pulse Doppler imaging processing object includes the first sampling gate.

[0067] Specifically, step S3032 includes: Step a1: Determine the first pulse frequency parameter based on the sampling gate position of the first sampling gate and the sampling depth corresponding to that sampling gate position.

[0068] It should be noted that the blood flow velocities differ significantly between the valve orifice, the valve annulus lateral wall, and the valve annulus ventricular septum. In the multiple PW method, to ensure that the valve orifice spectrum and the lateral wall spectrum are displayed synchronously, multiple spectra need to use different pulse repetition frequency (PRF) parameters at different locations to ensure the image quality of the spectrum display at the valve orifice, valve annulus lateral wall, and valve annulus ventricular septum.

[0069] Step a2: Based on the first pulse frequency parameter, extract the ultrasonic echo signal at the sampling gate position of the first sampling gate according to the preset sampling depth.

[0070] It should be noted that the first sampling gate includes the number of points corresponding to the sampling height and depth, as well as the starting point; the number of points is the number of samplings, which is determined by the sampling frequency of the device, such as sampling once every 0.5 microseconds; the starting point is how long after the ultrasonic wave is emitted, the first sampling begins.

[0071] Step a3: Generate valve orifice spectrum data based on the ultrasonic echo signal at a preset sampling depth.

[0072] Specifically, at the sampling gate position of the first sampling gate, the valve orifice spectrum data is generated according to the number of points corresponding to the depth and the starting point.

[0073] The cardiac function analysis method provided in this embodiment determines the pulse frequency parameter by the position of the first sampling gate and the corresponding sampling depth during the first pulse Doppler imaging process, and extracts the ultrasound echo signal at a preset depth based on the parameter, and finally generates valve orifice spectrum data. This achieves targeted acquisition of ultrasound echoes at the target valve orifice position, thereby generating high-precision valve orifice spectrum data, which is beneficial to improving the accuracy of cardiac function assessment.

[0074] Step S3033: Based on the valve annulus ventricular septum position signal, determine the second pulse frequency parameter of the second pulse Doppler imaging processing object, and generate valve annulus ventricular septum spectral data based on the second pulse frequency parameter.

[0075] The second pulse Doppler imaging processing object includes the second sampling gate.

[0076] Specifically, step S3033 includes: Step b1: Determine the second pulse frequency parameter based on the sampling gate position of the second sampling gate and the sampling depth corresponding to that sampling gate position.

[0077] The second pulse frequency parameter is determined by the position of the second sampling gate and the depth corresponding to that position.

[0078] Step b2: Based on the second pulse frequency parameter, the ultrasonic echo signal is extracted at the sampling gate position of the second sampling gate according to the first fractional sampling depth.

[0079] It should be noted that the purpose of the first fractional sampling is to reduce the number of samplings to achieve the effect of lowering the speed level and increasing the proportion of effective spectral signal, so that different types of spectral signals can be displayed simultaneously to achieve the image effect required for clinical applications.

[0080] Step b3: Extract ultrasound echo signals based on the first fractional sampling depth to generate ventricular septal spectral data of the annulus.

[0081] For example, the first fractional sampling depth is used to characterize the sampling interval of the ultrasound echo signal at the location of the annulus ventricular septum.

[0082] The cardiac function analysis method provided in this embodiment determines the pulse frequency parameter by the position of the second sampling gate and the corresponding sampling depth during the second pulse Doppler imaging process, and extracts the ultrasound echo signal based on the parameter at a first fractional sampling depth, and finally generates valve annulus-ventricular septum spectral data. This achieves targeted acquisition of ultrasound echoes at the target valve annulus-ventricular septum position, thereby generating high-precision valve annulus-ventricular septum spectral data, which is beneficial to improving the accuracy of cardiac function assessment.

[0083] Step S3034: Based on the valve annulus lateral wall position signal, determine the third pulse frequency parameter of the third pulse Doppler imaging processing object, and generate valve annulus lateral wall spectrum data based on the third pulse frequency parameter, wherein the signal frequency of the valve orifice position signal is higher than the signal frequency of the valve annulus ventricular septum position signal and the valve annulus lateral wall position signal.

[0084] The third pulse Doppler imaging processing object includes the third sampling gate.

[0085] Specifically, step S3034 includes: Step c1: Determine the third pulse frequency parameter based on the sampling gate position of the third sampling gate and the sampling depth corresponding to that sampling gate position.

[0086] The third pulse frequency parameter is determined by the position of the third sampling gate and the depth corresponding to that position.

[0087] Step c2: Based on the third pulse frequency parameter, extract the ultrasonic echo signal at the sampling gate position of the third sampling gate according to the second fractional sampling depth.

[0088] It should be noted that the purpose of the second fractional sampling is to reduce the number of samplings to achieve the effect of lowering the speed level and increasing the proportion of effective spectral signal, so that different types of spectral signals can be displayed simultaneously to achieve the image effect required for clinical applications. In this embodiment, there is no distinction between the first fractional sampling and the second fractional sampling, but the sampling parameters of the first fractional sampling and the second fractional sampling need to be smaller than the sampling parameters of the preset sampling depth. Therefore, the first fractional sampling and the second fractional sampling can be the same sampling parameter.

[0089] Step c3: Extract the ultrasound echo signal based on the second fractional sampling depth to generate the spectral data of the valve annulus sidewall.

[0090] For example, the second fractional sampling depth is used to characterize the sampling interval of the ultrasound echo signal at the valve annulus sidewall location.

[0091] The cardiac function analysis method provided in this embodiment determines the pulse frequency parameter by the position of the third sampling gate and the corresponding sampling depth during the third pulse Doppler imaging process, and extracts the ultrasound echo signal based on the parameter at a second fractional sampling depth, and finally generates valve annulus lateral wall spectrum data. This achieves targeted acquisition of ultrasound echoes at the target valve annulus lateral wall position, thereby generating high-precision valve annulus lateral wall spectrum data, which is beneficial to improving the accuracy of cardiac function assessment.

[0092] The cardiac function analysis method provided in this embodiment determines the first pulse frequency parameter of the first pulse Doppler imaging object based on the valve orifice position signal, the second pulse frequency parameter of the second pulse Doppler imaging object based on the valve annulus ventricular septum position signal, and the third pulse frequency parameter of the third pulse Doppler imaging object based on the valve annulus lateral wall position signal, thereby generating valve orifice spectrum data, valve annulus ventricular septum spectrum data, and valve annulus lateral wall spectrum data. This method enables the use of different parameters for signals of different frequencies, resulting in better output spectrum performance and improved image display quality of the spectrum data.

[0093] Step S304: Based on the spectral data of the valve orifice, the spectral data of the valve annulus and the spectral data of the valve annulus lateral wall, the cardiac function is measured to obtain the cardiac function analysis results.

[0094] Specifically, step S304 includes: Step S3041: Based on the valve orifice spectral data, identify the early filling peak velocity and late filling peak velocity of the first pulse Doppler imaging processing object, and calculate the ratio between the early filling peak velocity and the late filling peak velocity to obtain the first analysis result of the cardiac function analysis.

[0095] It should be noted that the early diastolic peak velocity (E peak) and late diastolic peak velocity (A peak) of mitral valve blood flow are obtained through mitral valve orifice spectral data; the E / A ratio is used as one of the indicators for assessing cardiac diastolic function.

[0096] Step S3042: Based on the spectral data of the ventricular septum and the spectral data of the mitral annulus, activate the tissue Doppler imaging mode and the pulsed Doppler imaging mode to obtain the early diastolic myocardial motion velocity at the mitral annulus measured by tissue Doppler. Measure the ratio of the early filling peak velocity to the early diastolic myocardial motion velocity at the mitral annulus to obtain the second analysis result of the cardiac function analysis.

[0097] Among them, tissue Doppler imaging data of the mitral valve annulus and ventricular septum obtained by the spectral data of the valve annulus and ventricular septum are usually recorded as e' peak. It measures the motion velocity of the ventricular septal side valve annulus during cardiac diastole. It reflects the relaxation velocity or elasticity of the myocardium itself and is less affected by cardiac filling pressure.

[0098] Among these methods, tissue Doppler imaging data of the mitral valve lateral wall is obtained through spectral data of the valve annulus lateral wall, typically recorded as the e' peak, similar to the interventricular septum side; however, what is measured is the valve annulus motion velocity of the lateral wall, and the motion amplitude of the lateral wall is usually greater than that of the interventricular septum. The E / e' ratio is used as another indicator to assess cardiac diastolic function, specifically assessing the left ventricular filling pressure.

[0099] The cardiac function analysis method provided in this embodiment evaluates cardiac function by analyzing the ratio of early filling peak velocity to late filling peak velocity and measuring the ratio of early filling peak velocity to early diastolic myocardial motion velocity at the mitral valve annulus as spectral data measurement results, thereby providing reliable data support for disease diagnosis.

[0100] The cardiac function analysis method provided in this embodiment identifies and simultaneously calls the pulse Doppler imaging objects corresponding to the mitral valve orifice, annulus, interventricular septum, and annulus lateral wall in the four-chamber view of the heart through a pre-set evaluation mode. This enables the synchronous generation and measurement of spectral data at different locations of the heart at the same time, thereby providing doctors with comprehensive functional analysis results of the mitral valve orifice position, annulus, interventricular septum position, and annulus lateral wall position within the same cardiac cycle. This improves the comprehensiveness and accuracy of cardiac function assessment, reduces the problem of measurement discrepancies caused by cardiac motion, and also reduces the doctor's operation procedures and operation time, optimizing the process of cardiac diastolic function testing.

[0101] Combination Figure 4 This section describes application examples of the proposed solution.

[0102] Multi-PW technology provides multiple sampling gates and simultaneous display of multiple spectra in real time. Doctors can move multiple sampling gates to different tissue locations to obtain real-time spectra of these tissues. By comparing the real-time spectra of different tissues, doctors can better determine the physiological and pathological conditions of the human body.

[0103] By applying multi-PW technology to the Auto DF function, the Auto DF function can simultaneously identify multiple different locations on the heart and place multiple PW sampling gates, activating PW mode and obtaining spectral images and measurement data from multiple different locations on the heart. This reduces the problem of measurement discrepancies caused by cardiac motion, simplifies the doctor's workflow, reduces operation time, and greatly optimizes the practicality of the Auto DF function.

[0104] To implement the Pulse Wave Doppler (PW) technology, the spectral data of multiple sampling gates must be processed separately, while ensuring that the data from different sampling gates are synchronized after processing.

[0105] The multiple PWs first acquire the line numbers corresponding to multiple sampling gates, and then, through beamforming, acquire the signals corresponding to these line numbers simultaneously. Since it is impossible to make the depth of each sampling gate consistent, in order to ensure the integrity of the obtained signal, it is necessary to upload the entire line signal of each sampling line, which includes the signal of the desired location of the PW (Pulse Wave Doppler), i.e., the sampling gate location, to the host computer.

[0106] To ensure the synchronization of the uploaded data from multiple sampling gates, the data transmitted to the host computer is formed by splicing together the data from multiple sampling gates, and contains information about multiple sampling gates.

[0107] After the data is transmitted to the host computer, it is necessary to calculate in real time the number of points corresponding to the height and depth of each sampling gate (the number of sampling times, determined by the device's sampling frequency, such as sampling once every 0.5 microseconds) and the starting point (how long after the transmitted wave starts the first sampling). Then, the data from multiple sampling gates is extracted separately through preprocessing. Since the information of an entire line is uploaded, the position of the corresponding sampling gate information can be calculated using information such as signal length. After extraction, line weighting is performed, and the signal length of each sampling gate is equal after line weighting. The line-weighted signal is then transmitted into memory for storage. Here, to maintain the synchronization of multiple sampling gate signals, the signals of multiple sampling gates need to be concatenated and transmitted into memory, and the corresponding sampling gate is determined by information such as length.

[0108] In post-processing, after determining the corresponding sampling gate based on information such as length, data truncation is performed internally to distinguish different sampling gates. Then, the signals from different sampling gates undergo spectral processing and optimization. The optimized signals are then stored in multiple pre-allocated memory locations. If the number of sampling gates is less than the maximum selectable number of sampling gates, several memory locations will be idle. After being stored in memory, the processed spectral signals are synchronously output by splicing them together.

[0109] One challenge that needs to be overcome when using multiple PWs in Auto DF is how to display the high-frequency signal from the valve orifice and the low-frequency signal from the myocardial wall simultaneously while maintaining good image quality for both.

[0110] Therefore, when using multiple pulse wave detectors (PWs) in Auto DF, the same frequency and velocity scale are used to simultaneously acquire high-frequency signals from the valve orifice and low-frequency signals from the myocardial wall. Because the frequency of the myocardial wall signal is relatively low, without any processing, the proportion of the image displayed on the spectrum will be very small, making it difficult for doctors to see clearly and resulting in inaccurate measurement results. Therefore, it is necessary to perform fractional sampling processing on the low-frequency myocardial wall signal (not sampling at every point, but sampling one signal every N points) to reduce the sampling frequency and increase the proportion of the low-frequency signal on the spectrum image.

[0111] In this embodiment, in order to achieve a better image effect for each spectrum, different parameters are used for different types of signals (myocardial wall or valve orifice signals). A set of parameters needs to be prepared for each type of signal and processed separately. By specifically adjusting the parameters, the output spectrum can achieve a better effect.

[0112] For example, Figure 4The flowchart for multi-PW spectrum processing in Auto DF is shown below. To adapt to multi-PW for Auto DF and simplify the process, the host computer algorithm for multi-PW has been technically optimized. The specific optimizations are as follows: The heart section identified by Auto DF has three locations: one valve orifice location and two lateral wall locations.

[0113] The blood flow velocities at the valve orifice and the lateral wall differ significantly. If the original multi-PW method is used, to ensure that the valve orifice spectrum and the lateral wall spectrum are displayed synchronously, multiple spectra need to use the same PRF parameter (Pulse Repetition Frequency). Therefore, when displaying the spectrum, the same velocity level will be used. Whether a velocity level suitable for the valve orifice spectrum or a velocity level suitable for the lateral wall spectrum is used, it will inevitably lead to poor display of the other type of spectrum image, resulting in aliasing or a small proportion of effective signal.

[0114] Therefore, the multi-PW spectrum processing is optimized here. When using multiple PWs for Auto DF, a speed setting suitable for the valve orifice spectrum is used. Simultaneously, the multi-PW spectrum processing adds fractional decimation code; when a lateral wall signal is identified, it is decimated by a fraction, thereby reducing the speed setting and increasing the proportion of effective signal in the spectrum. This allows for the simultaneous display of different types of spectrum signals to achieve image quality suitable for clinical applications.

[0115] In the original multi-PW method, the processing parameters used for multiple spectra are basically the same. For multi-PW to be used for Auto DF and to simplify the process, since there are significant differences between valve orifice signals and lateral wall signals, using the same processing parameters will inevitably lead to poor spectral image quality for one type of signal, which will not meet clinical needs.

[0116] Furthermore, Auto DF needs to identify different clinical parameters under different signal types. Under valve orifice signals, Auto DF needs to identify the E peak and A peak of the cardiac cycle, while under lateral wall signals, Auto DF needs to identify the e' peak of the cardiac cycle. Therefore, when using multiple PWs for Auto DF to simplify the process, it is necessary to output multiple sets of clinical parameter identification results with different spectra simultaneously.

[0117] Therefore, the multi-PW call and calculation process is modified here. Multiple PW host computer objects are created at once, and data is processed by calling the PW host computer object multiple times. Before each call to the PW host computer object, it is identified whether the single call is for valve orifice signal or lateral wall signal, and the corresponding appropriate processing parameters are recalculated based on the result. After multiple calls to the PW host computer object, the corresponding spectrum processing results and clinical parameter identification results are obtained respectively. Finally, the spectrum splicing and clinical parameter output results are combined for display.

[0118] This embodiment also provides a cardiac function analysis device for implementing the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0119] This embodiment provides a cardiac function analysis device, such as... Figure 5 As shown, the device includes: The identification module 501 is used to identify at least the position of the mitral valve orifice, the position of the interventricular septum of the valve annulus, and the position of the lateral wall of the valve annulus in the four-chamber view of the heart based on a predetermined cardiac function assessment pattern. Module 502 is used to simultaneously call the pulse Doppler imaging processing objects corresponding to the mitral valve orifice position, the annular septal position, and the annular lateral wall position, respectively. The generation module 503 is used to generate mitral valve orifice spectrum data, valve annulus septum spectrum data and valve annulus lateral wall spectrum data at the same time based on the various pulse Doppler imaging processing objects called. Analysis module 504 is used to measure cardiac function based on valve orifice spectral data, valve annulus septum spectral data, and valve annulus lateral wall spectral data, and obtain cardiac function analysis results.

[0120] In some alternative implementations, the calling module 502 includes: The first calling unit is used to call the determined first pulse Doppler imaging processing object according to the identified valve position.

[0121] The second calling unit is used to call the determined second pulse Doppler imaging processing object according to the identified location of the annulus ventricular septum.

[0122] The third calling unit is used to call the determined third pulse Doppler imaging processing object according to the identified valve annulus sidewall position. The sampling gate position and sampling line number of the first pulse Doppler imaging processing object, the second pulse Doppler imaging processing object and the third pulse Doppler imaging processing object are different.

[0123] In some alternative implementations, the generation module 503 includes: The acquisition unit is used to acquire the valve orifice position signal, valve annulus septum position signal, and valve annulus sidewall position signal at the current moment.

[0124] The first generation unit is used to determine the first pulse frequency parameter of the first pulse Doppler imaging processing object based on the valve position signal, and generate valve spectral data based on the first pulse frequency parameter.

[0125] In some optional implementations, the first generating unit includes: The first parameter determination subunit is used to determine the first pulse frequency parameter based on the sampling gate position of the first sampling gate and the sampling depth corresponding to that sampling gate position.

[0126] The first sampling subunit is used to extract ultrasonic echo signals at the sampling gate position of the first sampling gate according to a preset sampling depth based on the first pulse frequency parameter.

[0127] The first generation subunit is used to generate valve orifice spectrum data based on the ultrasonic echo signal at a preset sampling depth.

[0128] The second generation unit is used to determine the second pulse frequency parameter of the second pulse Doppler imaging processing object based on the valve annulus ventricular septum position signal, and generate valve annulus ventricular septum spectral data based on the second pulse frequency parameter.

[0129] In some optional implementations, the second generation unit includes: The second parameter determination subunit is used to determine the second pulse frequency parameter based on the sampling gate position of the second sampling gate and the sampling depth corresponding to that sampling gate position.

[0130] The second sampling subunit is used to extract the ultrasonic echo signal at the sampling gate position of the second sampling gate according to the first fractional sampling depth based on the second pulse frequency parameter.

[0131] The second generation subunit is used to generate annular ventricular septal spectral data based on the ultrasound echo signal extracted from the first fractional sampling depth.

[0132] The third generation unit is used to determine the third pulse frequency parameter of the third pulse Doppler imaging processing object based on the valve annulus lateral wall position signal, and generate valve annulus lateral wall spectrum data based on the third pulse frequency parameter, wherein the signal frequency of the valve orifice position signal is higher than the signal frequency of the valve annulus ventricular septum position signal and the valve annulus lateral wall position signal.

[0133] In some optional implementations, the third generation unit includes: The third parameter determination subunit is used to determine the third pulse frequency parameter based on the sampling gate position of the third sampling gate and the sampling depth corresponding to that sampling gate position.

[0134] The third sampling subunit is used to extract ultrasonic echo signals at the sampling gate position of the third sampling gate according to the second fractional sampling depth, based on the third pulse frequency parameter.

[0135] The third generation subunit is used to generate spectral data of the valve annulus sidewalls based on the ultrasonic echo signal extracted from the second fractional sampling depth.

[0136] In some alternative implementations, the analysis module 504 includes: The first analysis unit is used to identify the early filling peak velocity and late filling peak velocity of the first pulse Doppler imaging processing object based on valve orifice spectral data, and calculate the ratio between the early filling peak velocity and the late filling peak velocity to obtain the first analysis result of cardiac function analysis.

[0137] The second analysis unit is used to activate tissue Doppler imaging mode and pulsed Doppler imaging mode based on the spectral data of the ventricular septum and the spectral data of the ventricular annulus to obtain the early diastolic myocardial motion velocity at the mitral annulus measured by tissue Doppler. The ratio of the early filling peak velocity to the early diastolic myocardial motion velocity at the mitral annulus is measured to obtain the second analysis result of cardiac function analysis.

[0138] The cardiac function analysis device provided in this embodiment of the invention can execute the cardiac function analysis method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects for executing the method. Further functional descriptions of the various modules and units described above are the same as in the corresponding embodiments described above, and will not be repeated here.

[0139] Figure 6 This is a schematic diagram of the controller structure of an ultrasound imaging device provided in an embodiment of the present invention.

[0140] The following is a detailed reference. Figure 6 The diagram illustrates a structural schematic suitable for implementing a controller in an embodiment of the present invention. The controller may include a processor (e.g., a central processing unit, graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 602 or a program loaded from memory 608 into random access memory (RAM) 603. RAM 603 also stores various programs and data required for controller operation. The processor 601, ROM 602, and RAM 603 are interconnected via bus 604. An input / output (I / O) interface 605 is also connected to bus 604.

[0141] Typically, the following devices can be connected to I / O interface 605: input devices 606 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 607 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 608 including, for example, magnetic tapes, hard disks, etc.; and communication devices 609. Communication device 609 allows the controller to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 6 A controller with various devices is shown, but it should be understood that it is not required to implement or have all of the devices shown, and may alternatively implement or have more or fewer devices.

[0142] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 609, or installed from a memory 608, or installed from a ROM 602. When the computer program is executed by the processor 601, it performs the functions defined in the cardiac function analysis method of the embodiments of the present invention.

[0143] Figure 6 The controller shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0144] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the cardiac function analysis method shown in the above embodiments is implemented.

[0145] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0146] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method of cardiac function analysis, characterized by, The method includes: Based on a predetermined cardiac function assessment model, at least the positions of the mitral valve orifice, the interventricular septum of the valve annulus, and the lateral wall of the valve annulus in the four-chamber view of the heart are identified. Simultaneously, the pulse Doppler imaging processing objects corresponding to the valve orifice position, the valve annulus interventricular septum position, and the valve annulus sidewall position of the mitral valve are invoked respectively; Based on the various pulse Doppler imaging processing objects invoked, mitral valve orifice spectral data, annular septal spectral data, and annular lateral wall spectral data are generated at the same time. Based on the spectral data of the valve orifice, the spectral data of the valve annulus and the spectral data of the valve annulus lateral wall, cardiac function is measured to obtain cardiac function analysis results.

2. The method of claim 1, wherein, The simultaneous invocation of the Doppler imaging processing objects corresponding to the mitral valve orifice position, the annular septal position, and the annular lateral wall position respectively includes: Based on the identified valve orifice position, the determined first pulse Doppler imaging processing object is invoked; Based on the identified location of the annular ventricular septum, the determined second-pulse Doppler imaging processing object is invoked; Based on the identified position of the valve annulus sidewall, a determined third pulse Doppler imaging processing object is invoked, wherein the sampling gate position and sampling line number of the first pulse Doppler imaging processing object, the second pulse Doppler imaging processing object, and the third pulse Doppler imaging processing object are different.

3. The method of claim 2, wherein, The process, based on the invoked pulse Doppler imaging processing objects, generates mitral valve orifice spectral data, annular septal spectral data, and annular lateral wall spectral data at the same time, including: Acquire the valve orifice position signal, valve annulus septum position signal, and valve annulus lateral wall position signal at the current moment; Based on the valve orifice position signal, determine the first pulse frequency parameter of the first pulse Doppler imaging processing object, and generate the valve orifice spectrum data based on the first pulse frequency parameter; Based on the valve annulus ventricular septum position signal, determine the second pulse frequency parameter of the second pulse Doppler imaging processing object, and generate the valve annulus ventricular septum spectral data based on the second pulse frequency parameter; Based on the position signal of the valve annulus sidewall, the third pulse frequency parameter of the third pulse Doppler imaging object is determined, and the spectral data of the valve annulus sidewall is generated based on the third pulse frequency parameter. The signal frequency of the valve orifice position signal is higher than that of the valve annulus septum position signal and the valve annulus sidewall position signal.

4. The method according to claim 3, characterized in that, The first pulse Doppler imaging processing object includes a first sampling gate. The step of determining a first pulse frequency parameter of the first pulse Doppler imaging processing object based on the valve orifice position signal, and generating the valve orifice spectral data based on the first pulse frequency parameter, includes: The first pulse frequency parameter is determined based on the sampling gate position of the first sampling gate and the sampling depth corresponding to that sampling gate position; Based on the first pulse frequency parameter, ultrasonic echo signals are extracted at the sampling gate position of the first sampling gate according to a preset sampling depth; The valve orifice spectral data is generated based on the ultrasonic echo signal at the preset sampling depth.

5. The method according to claim 3, characterized in that, The second pulse Doppler imaging processing object includes a second sampling gate. The step of determining a second pulse frequency parameter of the second pulse Doppler imaging processing object based on the annulus ventricular septum position signal, and generating the annulus ventricular septum spectral data based on the second pulse frequency parameter, includes: The second pulse frequency parameter is determined based on the sampling gate position of the second sampling gate and the sampling depth corresponding to that sampling gate position; Based on the second pulse frequency parameter, ultrasonic echo signals are extracted at the sampling gate position of the second sampling gate according to the first fractional sampling depth; The annular ventricular septal spectral data is generated by extracting the ultrasonic echo signal based on the first fractional sampling depth.

6. The method according to claim 3, characterized in that, The third pulse Doppler imaging processing object includes a third sampling gate. Based on the valve annulus sidewall position signal, the third pulse frequency parameter of the third pulse Doppler imaging processing object is determined, and the valve annulus sidewall spectral data is generated based on the third pulse frequency parameter, including: The third pulse frequency parameter is determined based on the sampling gate position of the third sampling gate and the sampling depth corresponding to that sampling gate position; Based on the third pulse frequency parameter, ultrasonic echo signals are extracted at the sampling gate position of the third sampling gate according to the second fractional sampling depth; The spectral data of the valve annulus sidewall is generated by extracting the ultrasonic echo signal based on the second fractional sampling depth.

7. The method according to claim 2, characterized in that, The measurement of cardiac function based on the valve orifice spectral data, the valve annulus septum spectral data, and the valve annulus lateral wall spectral data yields cardiac function analysis results, including: Based on the valve orifice spectral data, the early filling peak velocity and late filling peak velocity of the first pulse Doppler imaging processing object are identified, and the ratio between the early filling peak velocity and the late filling peak velocity is calculated to obtain the first analysis result of the cardiac function analysis. Based on the spectral data of the mitral annulus septum and the spectral data of the mitral annulus lateral wall, the tissue Doppler imaging mode and the pulsed Doppler imaging mode are activated to obtain the early diastolic myocardial motion velocity at the mitral annulus measured by tissue Doppler. The ratio of the early filling peak velocity to the early diastolic myocardial motion velocity at the mitral annulus is measured to obtain the second analysis result of the cardiac function analysis.

8. A cardiac function analysis device, characterized in that, The device includes: The identification module is used to identify, based on a pre-determined cardiac function assessment pattern, at least the position of the mitral valve orifice, the position of the interventricular septum of the annulus, and the position of the lateral wall of the annulus in a four-chamber view of the heart. The calling module is used to simultaneously call the pulse Doppler imaging processing objects corresponding to the valve orifice position, the valve annulus septum position, and the valve annulus sidewall position of the mitral valve, respectively. The generation module is used to generate mitral valve orifice spectral data, annular septal spectral data, and annular lateral wall spectral data at the same time based on the various pulse Doppler imaging processing objects called. The analysis module is used to measure cardiac function based on the valve orifice spectral data, the valve annulus septum spectral data, and the valve annulus lateral wall spectral data, and obtain cardiac function analysis results.

9. An ultrasonic imaging device, characterized in that, The ultrasound imaging device includes a controller, the controller comprising: A memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, the processor executing the computer instructions to perform the method of any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to perform the method of any one of claims 1 to 7.

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