A method for assessing cardiac contractile function, an ultrasound device and a storage medium

Abstract

A method for evaluating cardiac systolic function, an ultrasound device and a storage medium are applied to the technical field of ultrasound, and the method for evaluating cardiac systolic function comprises the following steps: acquiring an ultrasound image sequence of a target heart, wherein the ultrasound image sequence comprises multiple ultrasound images; calculating multiple ultrasound indexes related to the systolic function of the target heart from the ultrasound image sequence based on an ultrasound index calculation model; acquiring image quality of the ultrasound image sequence; if the image quality of the ultrasound image sequence meets a preset condition, displaying overall longitudinal axial strain, ejection fraction and / or area change rate; and if the image quality of the ultrasound image sequence does not meet the preset condition, displaying mitral annulus displacement and / or tricuspid annulus displacement. Since the ultrasound indexes are displayed based on the image quality of the ultrasound image sequence, the displayed ultrasound indexes can be directly referenced by the user more conveniently, so that the user can better evaluate the systolic function of the heart.

Description

Technical Field

[0001] This application relates to the field of ultrasound technology, specifically to a method for assessing cardiac contractile function, an ultrasound device, and a storage medium. Background Technology

[0002] The heart, as one of the most vital organs in the human body, has a contractile function that is a key indicator of cardiac hemodynamics, and it holds significant clinical value for the diagnosis, disease monitoring, treatment evaluation, and prognosis of many cardiovascular diseases. Ultrasound, as a non-invasive, safe, and convenient examination method, can be used to assess cardiac contractile function.

[0003] Current technical solutions typically involve first obtaining ultrasound images of the heart based on an ultrasound examination, then calculating ultrasound indicators that can be used to assess the heart's contractile function based on the ultrasound images, and finally, doctors assessing the heart's contractile function based on these ultrasound indicators.

[0004] However, the accuracy of ultrasound indicators largely depends on the quality of the ultrasound images. In actual examinations, it is difficult to guarantee high-quality ultrasound images for every patient, making it difficult for doctors to effectively assess cardiac contractile function. Therefore, new technical solutions are needed to address this issue. Summary of the Invention

[0005] The main technical problem addressed in this application is how to facilitate users in better assessing cardiac contractile function.

[0006] According to the first aspect, one embodiment provides a method for assessing cardiac systolic function, comprising:

[0007] Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart;

[0008] Based on the ultrasound index calculation model, multiple ultrasound indices related to the systolic function of the target heart are calculated from the ultrasound image sequence. The multiple ultrasound indices include global longitudinal strain, ejection fraction and / or area change rate, mitral annulus displacement and / or tricuspid annulus displacement.

[0009] Obtain the image quality of the ultrasound image sequence;

[0010] If the image quality of the ultrasound image sequence meets the preset conditions, the overall longitudinal strain, the ejection fraction, and / or the area change rate among the multiple ultrasound indicators are displayed.

[0011] If the image quality of the ultrasound image sequence does not meet the preset conditions, the mitral annulus displacement and / or the tricuspid annulus displacement among the plurality of ultrasound indicators are displayed.

[0012] According to the second aspect, one embodiment provides a method for assessing cardiac systolic function, comprising:

[0013] Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart;

[0014] Based on the ultrasound image sequence, multiple ultrasound indicators related to the systolic function of the target heart are calculated. The multiple ultrasound indicators include global longitudinal strain, ejection fraction and / or area change rate, mitral annulus displacement and / or tricuspid annulus displacement.

[0015] Obtain the image quality of the ultrasound image sequence;

[0016] If the image quality of the ultrasound image sequence meets the preset conditions, the overall longitudinal strain, the ejection fraction, and / or the area change rate among the multiple ultrasound indicators are displayed.

[0017] If the image quality of the ultrasound image sequence does not meet the preset conditions, the mitral annulus displacement and / or the tricuspid annulus displacement among the multiple ultrasound indicators will be displayed.

[0018] According to a third aspect, one embodiment provides a method for assessing cardiac systolic function, comprising:

[0019] Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart;

[0020] Based on the ultrasound index calculation model, multiple ultrasound indices related to the systolic function of the target heart are calculated from the ultrasound image sequence. The multiple ultrasound indices include a first type of ultrasound index and a second type of ultrasound index. The first type of ultrasound index includes at least one of mitral annular displacement and tricuspid annular displacement, and the second type of ultrasound index includes at least one of ejection fraction, area change rate, and global longitudinal strain.

[0021] The image quality of the ultrasound image sequence is acquired, and at least one of the plurality of ultrasound indicators is displayed based on the image quality of the ultrasound image sequence.

[0022] According to the fourth aspect, one embodiment provides a method for assessing cardiac systolic function, comprising:

[0023] Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart;

[0024] Based on the ultrasound image sequence, multiple ultrasound indicators related to the systolic function of the target heart are calculated. The multiple ultrasound indicators include a first type of ultrasound indicator and a second type of ultrasound indicator. The first type of ultrasound indicator includes at least one of mitral annular displacement and tricuspid annular displacement, and the second type of ultrasound indicator includes at least one of ejection fraction, area change rate, and global longitudinal strain.

[0025] The image quality of the ultrasound image sequence is obtained, and at least one of the plurality of ultrasound indicators is displayed based on the image quality of the ultrasound image sequence.

[0026] According to the fifth aspect, one embodiment provides a method for assessing cardiac systolic function, comprising:

[0027] Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart;

[0028] Based on the ultrasound index calculation model, multiple ultrasound indices related to the systolic function of the target heart are calculated from the ultrasound image sequence. The multiple ultrasound indices include global longitudinal strain, ejection fraction and / or area change rate, mitral annulus displacement and / or tricuspid annulus displacement.

[0029] Obtain the image quality of the ultrasound image sequence;

[0030] The multiple ultrasound parameters are displayed, and the image quality of the ultrasound image sequence is also displayed.

[0031] According to the sixth aspect, one embodiment provides a method for assessing cardiac systolic function, comprising:

[0032] Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart;

[0033] Obtain the image quality of the ultrasound image sequence;

[0034] When the image quality of the ultrasound image sequence meets the preset conditions, the first type of ultrasound index related to the target heart and systolic function is calculated based on the ultrasound image sequence and the first type of ultrasound index is displayed; wherein, the first type of ultrasound index includes at least one of mitral annular displacement and tricuspid annular displacement.

[0035] When the image quality of the ultrasound image sequence does not meet the preset conditions, a second type of ultrasound index related to the target heart and systolic function is calculated based on the ultrasound image sequence and the second type of ultrasound index is displayed; wherein, the second type of ultrasound index includes at least one of ejection fraction, area change rate and global longitudinal strain.

[0036] According to the seventh aspect, one embodiment provides a method for assessing cardiac systolic function, comprising:

[0037] Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart;

[0038] Based on the ultrasound index calculation model, multiple ultrasound indices related to the contractile function of the target heart are calculated from the ultrasound image sequence.

[0039] The multiple ultrasound indicators are displayed.

[0040] According to the eighth aspect, one embodiment provides a method for assessing cardiac systolic function, comprising:

[0041] Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart;

[0042] Activate ultrasound index measurement function:

[0043] The image quality of the ultrasound image sequence is calculated based on a quality analysis model.

[0044] Based on the ultrasound index calculation model, multiple ultrasound indices related to the systolic function of the target heart are calculated from the ultrasound image sequence. The multiple ultrasound indices include global longitudinal strain, ejection fraction and / or area change rate, mitral annulus displacement and / or tricuspid annulus displacement; wherein, the quality analysis model and the ultrasound index calculation model are independent models, or the quality analysis model and the ultrasound index calculation model are integrated into a single model.

[0045] Display the image quality of the plurality of ultrasound indicators and the ultrasound image sequence; or, based on the image quality of the ultrasound image sequence, display at least one of the plurality of ultrasound indicators.

[0046] According to a ninth aspect, one embodiment provides an ultrasonic device, comprising:

[0047] An ultrasonic probe is used to emit ultrasonic waves toward a region of interest and to receive the echoes of the ultrasonic waves.

[0048] A transmitting and receiving control circuit is used to control the ultrasonic probe to transmit ultrasonic waves toward the region of interest and to receive the echoes of the ultrasonic waves.

[0049] A processor for executing computer programs and / or instructions to implement the methods described in any of the first to eighth aspects.

[0050] According to a tenth aspect, one embodiment provides a computer-readable storage medium storing a program that can be executed by a processor to implement the method as described in any one of the first to eighth aspects.

[0051] According to the cardiac systolic function assessment method, ultrasound equipment, and storage medium of the above embodiments, after calculating multiple ultrasound indicators related to the target heart's systolic function based on ultrasound image sequences, the image quality of the ultrasound image sequences can be acquired, and at least some of the multiple ultrasound indicators can be displayed based on the image quality of the ultrasound image sequences. Since the ultrasound indicators are displayed based on the image quality of the ultrasound image sequences, and the image quality of the ultrasound image sequences is related to the accuracy of the ultrasound indicators, the accuracy of the first type of ultrasound indicators is relatively higher when the image quality of the ultrasound image sequences is better, and the accuracy of the second type of ultrasound indicators is relatively higher when the image quality of the ultrasound image sequences is poorer. This makes the displayed ultrasound indicators more convenient for users to directly refer to, facilitating a better assessment of the heart's systolic function. Attached Figure Description

[0052] Figure 1 This is a schematic diagram of the structure of an ultrasonic device according to one embodiment;

[0053] Figure 2 This is an ultrasonic schematic diagram illustrating the calculation of overall longitudinal strain according to one embodiment.

[0054] Figure 3 This is a schematic diagram of ultrasound used to calculate the displacement of the mitral valve annulus according to one embodiment;

[0055] Figure 4 This is an ultrasound diagram illustrating the calculation of ejection fraction in one embodiment.

[0056] Figure 5 This is a schematic diagram of an ultrasound display interface according to one embodiment;

[0057] Figure 6 This is a schematic diagram of an ultrasound display interface according to another embodiment;

[0058] Figure 7 This is a schematic diagram showing ultrasound indicators in one embodiment.

[0059] Figure 8 This is a flowchart illustrating one embodiment of a method for assessing cardiac systolic function.

[0060] Figure 9 This is a flowchart illustrating another embodiment of a method for assessing cardiac systolic function.

[0061] Figure 10 This is a flowchart illustrating another embodiment of a method for assessing cardiac systolic function.

[0062] Figure 11 This is a flowchart illustrating one embodiment of a method for assessing cardiac systolic function. Detailed Implementation

[0063] The present application will now be described in further detail with reference to specific embodiments and accompanying drawings. Similar elements in different embodiments are referred to by related similar element reference numerals. In the following embodiments, many details are described to facilitate a better understanding of the present application. However, those skilled in the art will readily recognize that some features may be omitted in different situations, or may be replaced by other elements, materials, or methods. In some cases, certain operations related to the present application are not shown or described in the specification. This is to avoid obscuring the core parts of the present application with excessive description. For those skilled in the art, detailed description of these related operations is not necessary; the relevant operations can be fully understood based on the description in the specification and general technical knowledge in the art.

[0064] Furthermore, the features, operations, or characteristics described in the specification can be combined in any suitable manner to form various embodiments. At the same time, the steps or actions in the method description can be rearranged or adjusted in a manner obvious to those skilled in the art. Therefore, the various orders in the specification and drawings are only for the clear description of a particular embodiment and do not imply a necessary order, unless otherwise stated that a particular order must be followed.

[0065] The serial numbers assigned to components in this document, such as "first" and "second," are used only to distinguish the described objects and have no sequential or technical meaning. The terms "connection" and "linkage" used in this application, unless otherwise specified, include both direct and indirect connections (linkages).

[0066] In some embodiments of this application, when calculating multiple ultrasound indicators related to contractile function based on ultrasound image sequences, the overall image quality of the ultrasound image sequence is also acquired, and multiple ultrasound indicators are displayed according to the overall image quality of the ultrasound image sequence. This allows users to not only view the ultrasound indicators but also understand the image quality of the ultrasound image sequence used to calculate those indicators, thereby facilitating a better assessment of cardiac contractile function. In some embodiments, certain ultrasound indicators may be recommended for display. For example, when the image quality is good, ultrasound indicators strongly correlated with image quality may be recommended for display; when the image quality is poor, ultrasound indicators weakly correlated with image quality may be recommended for display. This ensures that ultrasound indicators with higher reference value among the multiple ultrasound indicators are recommended for display, making it easier for users to better assess cardiac contractile function.

[0067] Some embodiments provide an ultrasonic device; please refer to [the relevant documentation]. Figure 1 The ultrasonic device includes an ultrasonic probe 10, a transmission and reception control circuit, a processor 20, a human-computer interaction device 70, and a memory 80, which will be described in detail below.

[0068] An ultrasound probe 10 is used to emit ultrasound waves toward a region of interest within a target tissue and to receive the echoes of the ultrasound waves, thereby obtaining an ultrasound echo signal. The ultrasound probe 10 includes a transducer (not shown) composed of multiple array elements arranged in an array. Each array element is used to emit ultrasound waves according to an excitation electrical signal, or to convert received ultrasound waves into electrical signals. Therefore, each array element can be used to achieve the mutual conversion between electrical pulse signals and ultrasound waves, thereby enabling the emission of ultrasound waves toward the biological tissue being scanned, and it can also be used to receive the echoes of ultrasound waves reflected back from the tissue.

[0069] The transmitting and receiving control circuit is used to control the ultrasonic probe 10 to transmit ultrasonic waves and receive the echoes of ultrasonic waves, and to obtain ultrasonic echo signals. The transmitting and receiving control circuit may include a transmitting circuit 30 and a receiving circuit 40. The transmitting circuit 30 is used to excite the ultrasonic probe 10 to transmit ultrasonic waves toward the scanned object according to the control of the processor 20. The receiving circuit 40 is used to receive the echoes of ultrasonic waves returned from the scanned object through the ultrasonic probe 10 to obtain ultrasonic echo signals, and can also process the ultrasonic echo signals.

[0070] The human-computer interaction device 70 is used for human-computer interaction, such as outputting visual information and receiving user input. It can receive user input using a keyboard, operation buttons, mouse, trackball, touchpad, or a touchscreen integrated with the display; it can output visual information using a display, touchscreen display, screen, or touchscreen display.

[0071] The memory 80 is used to store various types of data.

[0072] Please refer to Figure 1 The ultrasound equipment may also include a beamforming module 50 and an IQ demodulation module 60.

[0073] The beamforming module 50 is signal-connected to the receiving circuit 40 and is used to perform beamforming processing on the echo signal, including delay and weighted summation. Because the distance from the ultrasonic receiving point in the tested tissue to the receiving array elements varies, the channel data of the same receiving point output by different receiving array elements has delay differences, requiring delay processing to align the phases. Weighted summation of the different channel data of the same receiving point is then performed to obtain the beamformed ultrasonic image data. The ultrasonic image data output by the beamforming module 50 is also called radio frequency (RF) data. The beamforming module 50 outputs the RF data to the IQ demodulation module 60. In some embodiments, the beamforming module 50 may also output the RF data to the memory 80 for caching or storage, or directly output the RF data to the processor 20 for image processing.

[0074] The beamforming module 50 can perform the above functions using hardware, firmware, or software. The beamforming module 50 can be integrated into the processor 20 or set up separately; this application does not impose any limitations on this.

[0075] The IQ demodulation module 60 removes the signal carrier through IQ demodulation, extracts the tissue structure information contained in the signal, and filters to remove noise. The signal obtained at this time is called the baseband signal (IQ data pair). The IQ demodulation module 60 outputs the IQ data pair to the processor 20 for image processing. In some embodiments, the IQ demodulation module 60 also outputs the IQ data pair to the memory 80 for buffering or storage, so that the processor 20 can read the data from the memory 80 for subsequent image processing.

[0076] The IQ demodulation module 60 can also perform the above functions in hardware, firmware, or software. Similarly, the IQ demodulation module 60 can be integrated into the processor 20 or set up separately; this application does not impose any limitations on this.

[0077] The processor 20 is configured to process input data according to specific logic instructions. It is a central controller circuit (CPU), one or more microprocessors, a graphics controller circuit (GPU), or any other electronic component. It can control peripheral electronic components according to input instructions or predetermined instructions, or perform data reading and / or saving on the memory 80. It can also process input data by executing programs in the memory 80. For example, it can perform one or more processing operations on the acquired ultrasound data according to one or more operating modes. The processing operations include, but are not limited to, adjusting or limiting the form of ultrasound waves emitted by the ultrasound probe 10, generating various image frames for display on the display of the human-machine interface device 70, or adjusting or limiting the content and form displayed on the display, or adjusting one or more image display settings displayed on the display (e.g., ultrasound images, interface components, locating regions of interest).

[0078] When an ultrasonic echo signal is received, the acquired ultrasonic data can be processed in real time by the processor 20 during the scan, or it can be temporarily stored in the memory 80 and processed in a near real-time manner during online or offline operation.

[0079] In this embodiment, the processor 20 controls the operation of the transmitting circuit 30 and the receiving circuit 40, for example, controlling the transmitting circuit 30 and the receiving circuit 40 to operate alternately or simultaneously. The processor 20 can also determine a suitable operating mode according to the user's selection or the program settings, form a transmission sequence corresponding to the current operating mode, and send the transmission sequence to the transmitting circuit 30 so that the transmitting circuit 30 can use the appropriate transmission sequence to control the ultrasonic probe 10 to emit ultrasonic waves.

[0080] In some embodiments, the processor 20 controls the ultrasound probe to emit ultrasound waves toward the target tissue and receive the echoes of the ultrasound waves through the transmit and receive control circuit according to the transmit and receive parameters, thereby obtaining ultrasound echo signals, and processes the ultrasound echo signals according to the imaging parameters to obtain an ultrasound cross-sectional image of the target tissue.

[0081] In some embodiments, the transmit and receive parameters include parameters for the transmit sequence and parameters for the receive sequence. The transmit sequence parameters include the number of array elements used for transmitting and ultrasonic wave transmission parameters (e.g., pulse amplitude, transmit voltage, transmit frequency, number of waves emitted, transmit interval, transmit angle, transmit waveform, transmit aperture, linear density, dot density, and / or focal position, etc.). The receive sequence is used to control the reception of some or all of the ultrasonic waves from the multiple array elements after they have passed through the tissue. The receive sequence parameters include the number of array elements used for receiving and the echo reception parameters (e.g., reception angle, depth, etc.). The ultrasonic wave parameters in the transmit sequence and the echo parameters in the receive sequence may differ depending on the intended use of the ultrasonic echo or the image generated by the ultrasonic echo.

[0082] In some embodiments, the imaging parameters include parameters for signal processing and image processing of the ultrasonic echo signal received by the ultrasonic probe 10 by the processor 20. Signal processing refers to one or more steps of processing the ultrasonic echo signal / channel echo data in the signal domain, such as analog-to-digital conversion, signal demodulation, amplification, filtering, downsampling, and / or beamforming. Image processing refers to one or more steps of processing the signal-processed ultrasonic image data in the image domain, such as modulus extraction, logarithmic compression, grayscale transformation, and / or other unlisted image processing. Furthermore, image processing can also be image algorithm processing of the generated ultrasonic image.

[0083] The above is an explanation of ultrasound equipment. The following is a detailed explanation of the process of assessing cardiac systolic function based on ultrasound equipment.

[0084] Processor 20 acquires ultrasound image sequences of the target heart.

[0085] In some embodiments, the processor 20 can read the stored ultrasound image sequence from the memory 80, or it can acquire the data in real time based on the ultrasound probe. For example, the processor controls the ultrasound probe to emit ultrasound waves toward the target heart and receives the echo of the ultrasound waves to obtain the corresponding ultrasound echo signal. The ultrasound echo signal is then processed to obtain the ultrasound image sequence of the target heart.

[0086] In some embodiments, the ultrasound image sequence includes multiple ultrasound images, and the ultrasound image sequence includes at least multiple ultrasound images corresponding to a complete cardiac cycle, so that the ultrasound image sequence can reflect the changes of the target heart during at least one complete cardiac cycle, facilitating the analysis of relevant ultrasound parameters of the target heart based on the ultrasound image sequence. In some embodiments, the complete cardiac cycle can be determined based on various existing methods, such as determining the complete cardiac cycle based on the periodicity of the ECG signal, which will not be elaborated here.

[0087] In some embodiments, the ultrasound image sequence may include multiple frames of ultrasound images corresponding to multiple complete cardiac cycles. The section types of the multiple frames of ultrasound images corresponding to each complete cardiac cycle may be the same or different. For example, multiple frames of ultrasound images corresponding to a complete cardiac cycle may be acquired in the apical two-chamber view (A2C), the apical four-chamber view (A4C), and the apical three-chamber view (A3C), or multiple frames of ultrasound images corresponding to a complete cardiac cycle may be acquired in the apical four-chamber view (A4C).

[0088] In some embodiments, ultrasound images can reflect the tissue structure of the target heart, thereby enabling the calculation of relevant ultrasound parameters based on the ultrasound images. For example, in B (brightness) mode, the ultrasound probe can be controlled to perform ultrasound imaging on one or more slice types of the target heart, and an ultrasound image sequence corresponding to one or more slice types can be obtained.

[0089] After acquiring the ultrasound image sequence, the processor calculates multiple ultrasound parameters related to the target heart's systolic function based on the ultrasound image sequence.

[0090] In some embodiments, multiple ultrasound parameters related to systolic function include one or more of GLS (global longitudinal strain), EF (ejection fraction), FAC (rate of change of area), MAPSE (mitral annular displacement), and TAPSE (tricuspid annular displacement).

[0091] In some embodiments, when calculating multiple ultrasound parameters related to the target heart's systolic function, the left ventricular ejection fraction (EF) and left ventricular gross suture length (GLS) can be calculated based on multiple frames of ultrasound images corresponding to a complete cardiac cycle from an apical two-chamber view; the left ventricular GLS can be calculated based on multiple frames of ultrasound images corresponding to a complete cardiac cycle from an apical three-chamber view; and MAPSE, TAPSE, right ventricular femoral artery occlusion (FAC), right ventricular GLS, left ventricular GLS, and left ventricular EF can be calculated based on multiple frames of ultrasound images corresponding to a complete cardiac cycle from an apical four-chamber view. These ultrasound parameters can be calculated based on a single section type or by combining multiple section types; details will not be elaborated further here.

[0092] When calculating the above multiple ultrasound indicators, the corresponding ultrasound indicators can be calculated separately based on different multiple ultrasound indicator calculation models, or multiple ultrasound indicators can be calculated at once based on a single ultrasound indicator calculation model. The following will explain the methods respectively.

[0093] In some embodiments, the calculation processes for multiple ultrasound indicators differ, and corresponding ultrasound indicators can be calculated by multiple calculation models. For example, based on a first calculation model, one or more of the following can be calculated from ultrasound image sequences: overall longitudinal strain, mitral annular displacement, and tricuspid annular displacement. These indicators are mainly related to the strain and / or displacement parameters of myocardial tissue. Alternatively, based on a second calculation model, one or both of the following can be calculated from ultrasound image sequences: ejection fraction and rate of change of area. These indicators are mainly related to the area and / or volume parameters of the myocardial tissue contour.

[0094] In some embodiments, when calculating ultrasound parameters based on the first computational model, the target myocardial tissue of the target heart is first determined based on the ultrasound image sequence. Then, based on the positional changes of the target myocardial tissue in different ultrasound images within the ultrasound image sequence, one or more of the following are calculated: overall longitudinal strain, mitral annular displacement, and tricuspid annular displacement. For example, the first ultrasound image is first determined from multiple ultrasound images corresponding to a complete cardiac cycle. The target myocardial tissue of the target heart is then determined based on the first ultrasound image. Next, the target myocardial tissue is tracked using existing tracking techniques to obtain the position of the target myocardial tissue in other ultrasound images corresponding to a complete cardiac cycle. Finally, the corresponding ultrasound parameters are calculated based on the positional changes of the target myocardial tissue. The existing tracking techniques can be speckle tracking techniques or artificial intelligence-based tracking techniques, which will not be elaborated further here. Specifically, the overall longitudinal strain mainly calculates the change in the length of the corresponding myocardial tissue between end-systole and end-diastole. The mitral annular displacement mainly calculates the change in the distance from the corresponding mitral annular tissue to the apex of the heart between end-systole and end-diastole. The tricuspid annular displacement mainly calculates the change in the distance from the corresponding tricuspid annular tissue to the apex of the heart between end-systole and end-diastole. In some embodiments, one or more of the mitral annular displacement and tricuspid annular displacement can also be calculated based on the first calculation model.

[0095] In some embodiments, when calculating ultrasound indicators based on the second computational model, the target myocardial tissue contour of the target heart is first determined based on the ultrasound image sequence. Then, based on the positional changes of the target myocardial tissue contour in different ultrasound images within the ultrasound image sequence, one or both of the ejection fraction and the rate of change of area are calculated. For example, the first ultrasound image is first determined from multiple ultrasound images corresponding to a complete cardiac cycle. The target myocardial tissue contour of the target heart is determined based on the first ultrasound image. Then, the target myocardial tissue contour is tracked using existing tracking techniques to obtain the position of the target myocardial tissue contour in other ultrasound images corresponding to a complete cardiac cycle. Finally, the corresponding ultrasound indicators are calculated based on the positional changes of the target myocardial tissue contour. The target myocardial tissue contour can be determined using existing segmentation methods, such as deep learning segmentation networks, region-based segmentation algorithms, and machine learning-based segmentation methods, to extract the boundaries of the myocardial tissue and obtain the myocardial tissue contour. Further details are omitted here. Specifically, the area and / or volume of the myocardial tissue can be calculated based on its contour. Ejection fraction primarily calculates the change in volume of the corresponding myocardial tissue contour between end-systole and end-diastole. The area change rate primarily calculates the change in area of ​​the corresponding myocardial tissue contour between end-systole and end-diastole. In some embodiments, one or more of the global longitudinal strain, ejection fraction, and area change rate can also be calculated based on the second calculation model.

[0096] In some embodiments, when calculating multiple ultrasound indices at once based on a single ultrasound index calculation model, the ultrasound image sequence is first processed to obtain ultrasound indices related to the strain parameters and / or displacement parameters of the myocardial tissue of the target heart, and then a second processing is performed to obtain ultrasound indices related to the ventricular volume parameters and / or area parameters of the target heart.

[0097] In some embodiments, the first process includes a shared process and a first branch process, and the second process includes a shared process and a second branch process.

[0098] In this process, multiple target myocardial sampling points of the target heart are obtained by sharing the ultrasound image sequence. In some embodiments, the sharing process can be an automated process. For example, it can involve first determining the target myocardial tissue of the target heart based on the ultrasound image sequence, and then performing sampling processing on the target myocardial tissue to obtain multiple target myocardial sampling points. For instance, the first ultrasound image can be determined from multiple ultrasound images corresponding to a complete cardiac cycle, and then the target myocardial tissue can be determined based on the first ultrasound image.

[0099] In some embodiments, the target myocardial sampling points are located along the contour of the target myocardial tissue. In some embodiments, during the above sampling process, the contour of the target myocardial tissue is first determined, and then point sampling is performed along the contour to obtain multiple target myocardial sampling points. The target myocardial tissue can be segmented using existing segmentation methods to determine its contour, which will not be elaborated further here.

[0100] In some embodiments, when performing the above-mentioned point sampling, point sampling can be performed at equal intervals based on the contour of the target myocardial tissue, ensuring consistent spacing between each target myocardial sampling point, thereby facilitating rapid point sampling. In some embodiments, point sampling can also be performed based on the degree of contraction of the target myocardial tissue corresponding to its contour. This results in smaller spacing between target myocardial sampling points corresponding to a target myocardial tissue with greater contraction, and larger spacing between target myocardial sampling points corresponding to a target myocardial tissue with less contraction. This ensures that the density of sampling points matches the degree of contraction of the target myocardial tissue, thereby improving the effectiveness of point sampling and the accuracy of subsequently calculated ultrasound parameters.

[0101] In some embodiments, the degree of contraction of the target myocardial tissue can be determined based on the slope corresponding to the contour of the target myocardial tissue. For example, the slope corresponding to the contour of the target myocardial tissue can be determined first, and point sampling can be performed based on the slope of the contour of the target myocardial tissue. This results in contours with larger slopes having smaller spacing between the target myocardial tissue sampling points, and contours with smaller slopes having larger spacing between the target myocardial tissue sampling points. For example, the slope is calculated every preset length of contour, and then the target myocardial tissue corresponding to the preset length of contour is sampled at equal intervals matching the slope.

[0102] In some embodiments, the shared processing can also be a manual process, such as obtaining multiple target myocardial sampling points in response to a user's sampling operation on the target myocardial tissue in the first frame of the ultrasound image. For example, the user taps the outline of the target myocardial tissue, and then obtains the corresponding target myocardial sampling points based on the location of the tap operation. In some embodiments, the shared processing can also be a combination of manual and automatic processing, which will not be elaborated here.

[0103] Based on the target myocardial sampling points in different ultrasound images in the ultrasound image sequence, the first branch processing is performed to obtain at least one ultrasound index among the ultrasound indices related to strain parameters and / or displacement parameters, and the second branch processing is performed to obtain at least one ultrasound index among the ultrasound indices related to ventricular volume parameters and / or area parameters.

[0104] In some embodiments, during the first branch processing, the target myocardial sampling points are tracked using existing tracking technology. The position of each target myocardial sampling point in each ultrasound image sequence is first determined. Then, based on the positional changes of the target myocardial sampling points in different ultrasound images, at least one of the following—overall longitudinal strain, mitral annular displacement, and tricuspid annular displacement—is calculated. Specifically, when calculating the overall longitudinal strain, the sum of distances between the target myocardial sampling points corresponding to the overall longitudinal strain in different ultrasound images is calculated. The overall longitudinal strain is obtained based on the sum of distances calculated from different ultrasound images. For example… Figure 2 Multiple target myocardial sampling points corresponding to the ventricle are... Figure 2 The black dots represent the distances between target myocardial sampling points, used to determine the length of the corresponding myocardial tissue in the ventricle. When calculating mitral valve annular displacement, the distances between target myocardial sampling points corresponding to the mitral valve annular displacement in different ultrasound images are calculated. Based on these calculated distances corresponding to the mitral valve annular displacement in different ultrasound images, the mitral valve annular displacement is obtained. For example... Figure 3 Multiple target myocardial sampling points corresponding to the mitral valve annulus and the apex of the heart are... Figure 3The black dots represent the distance between the mitral valve annulus and the apex of the heart, calculated by determining the distance between the target myocardial sampling points corresponding to the mitral valve annulus displacement. When calculating the tricuspid valve annulus displacement, the distances between the target myocardial sampling points corresponding to the tricuspid valve annulus displacement in different ultrasound images are calculated. Based on the distances calculated for the tricuspid valve annulus displacement in different ultrasound images, the tricuspid valve annulus displacement is obtained.

[0105] In some embodiments, during the second branch processing, the target myocardial sampling points are tracked using existing tracking technology. First, the position of each target myocardial sampling point in each ultrasound image sequence is determined. Then, the target myocardial sampling points in different ultrasound images are connected to obtain the target myocardial tissue contour. Based on the positional changes of the target myocardial tissue contour in different ultrasound images, at least one of the ejection fraction and the rate of change of area is calculated. Specifically, when calculating the ejection fraction, the volume corresponding to the target myocardial tissue contour in different ultrasound images is calculated, and the ejection fraction is obtained based on the volume calculated from the different ultrasound images. For example... Figure 4 The outline of the myocardial tissue corresponding to the ventricle is... Figure 4 The black lines in the image are formed by connecting multiple target myocardial sampling points. The volume corresponding to the myocardial tissue contour is calculated to obtain the ejection fraction. When calculating the area change rate, the area corresponding to the target myocardial tissue contour in different ultrasound images is calculated, and the area change rate is obtained based on the area calculated from different ultrasound images.

[0106] In some embodiments, the step of tracking the target myocardial sampling points based on existing tracking technology and first determining the position of each target myocardial sampling point in each ultrasound image in the ultrasound image sequence can be a step shared by the first branch processing and the second branch processing, or a step included in both the first branch processing and the second branch processing.

[0107] As can be seen from the above calculation process of various ultrasound indicators, different ultrasound indicators correspond to different myocardial tissues. For example, ejection fraction and area change rate correspond to the volume change and area change of the overall myocardial tissue contour of the ventricle, respectively. For example, the overall longitudinal axis strain corresponds to the length change of the overall myocardial tissue of the ventricle. For example, mitral annular displacement and tricuspid annular displacement correspond to the distance changes from the lateral wall of the mitral annular and the lateral wall of the tricuspid annular to the apex of the heart, respectively.

[0108] Therefore, the aforementioned ultrasound indicators can be divided into Category I and Category II ultrasound indicators. Category I ultrasound indicators include at least one of mitral annular displacement and tricuspid annular displacement, corresponding to relatively few myocardial tissues. Category II ultrasound indicators include at least one of ejection fraction, rate of change of area, and global longitudinal strain, corresponding to relatively more myocardial tissues. The accuracy of Category I ultrasound indicators is weakly correlated with ultrasound image quality, while the accuracy of Category II ultrasound indicators is strongly correlated with ultrasound image quality. For example, when the ultrasound image quality is good, although both Category I and Category II ultrasound indicators will have good accuracy, Category II ultrasound indicators are more accurate and therefore have greater reference value. Conversely, when the ultrasound image quality is poor, although both Category I and Category II ultrasound indicators will have poor accuracy, Category I ultrasound indicators are more accurate and therefore have greater reference value.

[0109] After acquiring multiple ultrasound indicators, the processor 20 controls the human-computer interaction device 70 to display at least one of the multiple ultrasound indicators.

[0110] In some embodiments, the processor directly controls the display of all ultrasound parameters, allowing the user to view all ultrasound parameters related to the target heart's contractile function at once.

[0111] In some embodiments, the processor also acquires the image quality of the ultrasound image sequence, then controls the display of all ultrasound parameters and displays the image quality of the ultrasound image sequence. This allows users to select appropriate ultrasound parameters based on the image quality of the ultrasound image sequence to assess cardiac contractile function.

[0112] In some embodiments, when acquiring the image quality of an ultrasound image sequence, the processor acquires the image quality of each frame of ultrasound image in the ultrasound image sequence, and then determines the image quality of the ultrasound image sequence based on the image quality of each frame of ultrasound image.

[0113] In some embodiments, factors influencing the determination of image quality for each frame of ultrasound image include the completeness of the tissue structures that the ultrasound image should include, and the noise level of the ultrasound image. For example, the more complete the tissue structures that the ultrasound image should include, the higher the corresponding image quality, and vice versa. Similarly, the lower the noise level of the ultrasound image, the higher the corresponding image quality, and vice versa. Other influencing factors will not be elaborated here. In some embodiments, the average image quality of each frame of ultrasound image can be used as the image quality of the ultrasound image sequence, or the median can be used, or the image quality of ultrasound images corresponding to different cardiac periods can have different weights; no specific limitations are made here.

[0114] In some embodiments, after acquiring the image quality of the ultrasound image sequence, the processor can display at least one of a plurality of ultrasound indicators based on the image quality of the ultrasound image sequence, allowing the user to directly assess cardiac contractile function based on the displayed ultrasound indicators.

[0115] In some embodiments, the processor displays either a first-class or a second-class ultrasound index among multiple ultrasound indices based on the image quality of the ultrasound image sequence. Specifically, when the image quality of the ultrasound image sequence meets a preset condition, at least one ultrasound index from the first-class ultrasound index is displayed; when the image quality of the ultrasound image sequence does not meet the preset condition, at least one ultrasound index from the second-class ultrasound index is displayed. For example, if the image quality of the ultrasound image sequence is less than a preset image quality, the preset condition is met, and at least one of mitral annular displacement and tricuspid annular displacement is displayed. If the image quality of the ultrasound image sequence is greater than the preset image quality, the preset condition is not met, and at least one of ejection fraction, rate of change of area, and global longitudinal strain is displayed. In this embodiment, when the image quality of the ultrasound image sequence is low, the first-class ultrasound index is more accurate and has greater reference value than the second-class ultrasound index; therefore, the first-class ultrasound index is displayed so that the user can directly assess the heart's contractile function based on the first-class ultrasound index. When the image quality of the ultrasound image sequence is high, the second-class ultrasound index is more accurate and has greater reference value than the first-class ultrasound index; therefore, the second-class ultrasound index is displayed so that the user can directly assess the heart's contractile function based on the second-class ultrasound index.

[0116] Please refer to Figure 5 and Figure 6In some embodiments, the processor is also used to control the display of the ultrasound display interface 21, which includes an ultrasound index display area 212 and an ultrasound index preview area 211. The ultrasound index preview area 211 is used to display the display control 213 corresponding to each ultrasound index among all ultrasound indices. Each display control 213 has a first state and a second state. The processor needs to control the display control 213 corresponding to the ultrasound index to be displayed to be in the first state, and the display controls 213 corresponding to other ultrasound indices to be in the second state. The ultrasound index display area 212 is used to display at least the ultrasound indices that the processor needs to control for display. The display format of the ultrasound indices may include the numerical values ​​corresponding to the ultrasound indices, the change curves corresponding to the ultrasound indices, or the bullseye charts corresponding to the ultrasound indices, which will not be elaborated further here. In this embodiment, the user can view all calculated ultrasound indices based on the display controls in the ultrasound index preview area 211, and can view ultrasound indices with greater reference value and ultrasound indices with less reference value based on the state of each display control. Simultaneously, the user can also specifically view ultrasound indices with greater reference value based on the ultrasound index display area 212. In some embodiments, the ultrasound index display area 212 can also display ultrasound images or ultrasound image sequences corresponding to the ultrasound index on the same screen, and can also display the image quality of the ultrasound images or ultrasound image sequences.

[0117] Please refer to Figure 6 In some embodiments, the ultrasound indicator preview area can also be used by the user to select the ultrasound indicator to be displayed. For example, the display control 213 can respond to user operations to switch between a first state and a second state, such as clicking or swiping the display control. The ultrasound indicator display area is used to display the ultrasound indicators corresponding to each display control in the first state, thereby allowing different display controls to be selected to different states through user operations, so that the ultrasound indicator display area can display ultrasound indicators of interest to the user. In some embodiments, the display control can be a switch control with corresponding on and off states. The user operates the switch control to put it in the on or off state, so that the ultrasound indicator corresponding to the on state display control is displayed in the ultrasound indicator display area. In some embodiments, the first state and the second state can also be that the display control is in different indicator displays, such as different brightness displays, different color displays, or different shape displays, etc., which will not be elaborated here. For example, in Figure 6 In the middle, display controls 1 and 3 are in the first state, and display control 2 is in the second state. The different states are reflected by the different boundaries of the display controls, and the ultrasound indicators 1 and 3 corresponding to display controls 1 and 3 are displayed in the ultrasound indicator display area 212.

[0118] The above describes the display of either a first-class or a second-class ultrasound index among multiple ultrasound indices. In some embodiments, the processor may also display both a first-class and a second-class ultrasound index among multiple ultrasound indices, and display the recommendation level of each ultrasound index based on the image quality of the ultrasound image sequence. Specifically, the processor determines the recommendation level of the first-class and second-class ultrasound indices based on the image quality of the ultrasound image sequence, and then displays at least one ultrasound index from the first-class and at least one ultrasound index from the second-class ultrasound indices based on the recommendation level.

[0119] In some embodiments, determining the recommendation level of the first type of ultrasound index and the second type of ultrasound index can be done by determining their specific recommendation levels or by determining the magnitude relationship between their recommendation levels. In some embodiments, when the image quality of the ultrasound image sequence meets preset conditions, the first type of ultrasound index can be determined as a first recommendation level, and the second type of ultrasound index as a second recommendation level, with the first recommendation level being greater than the second recommendation level; alternatively, the recommendation level of the first type of ultrasound index can be directly determined to be greater than the recommendation level of the second type of ultrasound index. When the image quality of the ultrasound image sequence does not meet preset conditions, the first type of ultrasound index can be determined as a third recommendation level, and the second type of ultrasound index as a fourth recommendation level, with the third recommendation level being less than the fourth recommendation level; alternatively, the recommendation level of the first type of ultrasound index can be directly determined to be less than the recommendation level of the second type of ultrasound index. Specifically, the preset conditions are met when the image quality of the ultrasound image sequence is less than a preset image quality, and the preset conditions are not met when the image quality of the ultrasound image sequence is greater than a preset image quality.

[0120] In some embodiments, when displaying various ultrasound indicators, at least one ultrasound indicator from the first category and at least one ultrasound indicator from the second category are displayed in a corresponding order based on the order of their respective recommendation levels. For example, ultrasound indicators with higher recommendation levels can be displayed first, or they can be displayed last, so that users can intuitively know the ultrasound indicators with higher recommendation levels based on the display order.

[0121] In some embodiments, when displaying various ultrasound indicators, corresponding identifiers can also be displayed based on the recommendation level of the ultrasound indicators. Specifically, at least one ultrasound indicator from a first category is displayed, along with a first recommendation level identifier corresponding to the recommendation level of the first category of ultrasound indicators; at least one ultrasound indicator from a second category is displayed, along with a second recommendation level identifier corresponding to the recommendation level of the second category of ultrasound indicators. In some embodiments, the first recommendation level identifier can characterize the specific recommendation level of the first category of ultrasound indicators, and the second recommendation level identifier can characterize the specific recommendation level of the second category of ultrasound indicators. In some embodiments, the first recommendation level identifier and the second recommendation level identifier can characterize the difference between the recommendation levels of the first and second categories of ultrasound indicators. In some embodiments, the first recommendation level identifier and the second recommendation level identifier can be different colors used to display the ultrasound indicators, or they can be different text, patterns, or other identifiers. For example, Figure 7 The recommendation ratings for ultrasound indicators 1, 2, and 3 were assigned based on the first and second recommendation ratings, respectively.

[0122] In some embodiments, when displaying each ultrasound indicator, the reliability of the ultrasound indicator can also be displayed. The reliability is used to characterize the degree of reliability of the ultrasound indicator. Specifically, the reliability of multiple ultrasound indicators is determined based on the image quality of the ultrasound image sequence; the higher the image quality, the higher the reliability, and vice versa.

[0123] In the above embodiments, ultrasound indicators are first calculated based on the ultrasound image sequence, and then the ultrasound indicators are displayed. In some embodiments, the ultrasound indicators to be displayed may be determined first, and then the corresponding ultrasound indicators may be calculated based on the ultrasound image sequence. The differences between the two methods are explained in detail below.

[0124] After acquiring the ultrasound image sequence of the target heart, the processor first assesses the image quality of the ultrasound image sequence.

[0125] In some embodiments, when the image quality of the ultrasound image sequence meets preset conditions, a first type of ultrasound index related to the target heart's contractile function is calculated based on the ultrasound image sequence and displayed. For example, when the image quality of the ultrasound image sequence is low, the first type of ultrasound index is more accurate and has greater reference value than the second type of ultrasound index. Therefore, the first type of ultrasound index is calculated and displayed so that users can directly assess the heart's contractile function based on the first type of ultrasound index.

[0126] In some embodiments, when the image quality of the ultrasound image sequence does not meet preset conditions, a second type of ultrasound index related to the target heart's contractile function is calculated based on the ultrasound image sequence and displayed. For example, when the image quality of the ultrasound image sequence is high, the second type of ultrasound index is more accurate and has greater reference value than the first type of ultrasound index. Therefore, the second type of ultrasound index is calculated and displayed so that users can directly assess the heart's contractile function based on the second type of ultrasound index.

[0127] In some embodiments, when calculating a second type of ultrasound index related to the target heart's systolic function based on an ultrasound image sequence, if the section type of the ultrasound image sequence includes a first preset section type, at least one of the ejection fraction, rate of change of area, and global longitudinal strain of the second type of ultrasound index is calculated based on the ultrasound image sequence. If the section type of the ultrasound image sequence includes a second preset section type, at least one of the ejection fraction and global longitudinal strain of the second type of ultrasound index is calculated based on the ultrasound image sequence. For example, the left ventricular ejection fraction (EF) and left ventricular gross strain (GLS) are calculated based on ultrasound image sequences corresponding to the apical two-chamber view; the left ventricular GLS is calculated based on ultrasound image sequences corresponding to the apical three-chamber view; and the right ventricular accretion rate (FAC), right ventricular GLS, left ventricular GLS, and left ventricular EF are calculated based on ultrasound image sequences corresponding to the apical four-chamber view. The corresponding ultrasound index can be calculated based on a single section type or by combining multiple section types; this will not be elaborated further here.

[0128] The above is an explanation of using ultrasound equipment to assess cardiac contractile function.

[0129] Some embodiments provide a method for assessing cardiac contractile function, which can be applied to the aforementioned ultrasound equipment. Please refer to... Figure 8 Methods for assessing cardiac systolic function may include the following steps:

[0130] Step 100: Acquire an ultrasound image sequence of the target heart. The ultrasound image sequence includes multiple ultrasound images that reflect the tissue structure of the target heart.

[0131] Step 110: Calculate multiple ultrasound parameters related to the target heart's systolic function based on the ultrasound image sequence. These parameters include global longitudinal strain, ejection fraction and / or rate of change of area, mitral annulus displacement and / or tricuspid annulus displacement.

[0132] Step 120: Output ultrasound indicators based on the image quality of the ultrasound image sequence. This includes acquiring the image quality of the ultrasound image sequence; if the image quality of the ultrasound image sequence meets preset conditions, displaying the overall longitudinal strain, ejection fraction, and / or area change rate among multiple ultrasound indicators; if the image quality of the ultrasound image sequence does not meet preset conditions, displaying the mitral annulus displacement and / or tricuspid annulus displacement among multiple ultrasound indicators.

[0133] Some embodiments provide a method for assessing cardiac contractile function, which can be applied to the aforementioned ultrasound equipment. Please refer to... Figure 9 Methods for assessing cardiac systolic function may include the following steps:

[0134] Step 200: Acquire an ultrasound image sequence of the target heart. The ultrasound image sequence includes multiple ultrasound images that reflect the tissue structure of the target heart.

[0135] Step 210: Calculate multiple ultrasound parameters related to the target heart's systolic function based on the ultrasound image sequence. These parameters include global longitudinal strain, ejection fraction and / or rate of change of area, mitral annulus displacement and / or tricuspid annulus displacement.

[0136] Step 220: Display multiple ultrasound parameters and the image quality of the ultrasound image sequence.

[0137] Some embodiments provide a method for assessing cardiac contractile function, which can be applied to the aforementioned ultrasound equipment. Please refer to... Figure 10 Methods for assessing cardiac systolic function may include the following steps:

[0138] Step 300: Acquire an ultrasound image sequence of the target heart. The ultrasound image sequence includes multiple ultrasound images that reflect the tissue structure of the target heart.

[0139] Step 310: Calculate and output ultrasound indices based on the image quality of the ultrasound image sequence. When the image quality of the ultrasound image sequence meets the preset conditions, calculate and display the first type of ultrasound indices related to the systolic function of the target heart based on the ultrasound image sequence; wherein, the first type of ultrasound indices include at least one of mitral annular displacement and tricuspid annular displacement; when the image quality of the ultrasound image sequence does not meet the preset conditions, calculate and display the second type of ultrasound indices related to the systolic function of the target heart based on the ultrasound image sequence; wherein, the second type of ultrasound indices include at least one of ejection fraction, rate of change of area, and global longitudinal strain.

[0140] Some embodiments provide a method for assessing cardiac contractile function, which can be applied to the aforementioned ultrasound equipment. Please refer to... Figure 11Methods for assessing cardiac systolic function may include the following steps:

[0141] Step 400: Acquire an ultrasound image sequence of the target heart. The ultrasound image sequence includes multiple ultrasound images that reflect the tissue structure of the target heart.

[0142] Step 410: Activate the ultrasound index measurement function to calculate multiple ultrasound indices related to the target heart's systolic function. Activation of the ultrasound index measurement function can be automatic, such as automatically activating it after acquiring a qualified ultrasound image sequence, or it can be manual, such as when the user operates the ultrasound index measurement control, and the processor responds by activating the ultrasound index measurement function. Activating the ultrasound index measurement function includes: calculating the image quality of the ultrasound image sequence based on a quality analysis model; and calculating multiple ultrasound indices related to the target heart's systolic function from the ultrasound image sequence based on the ultrasound index calculation model. These multiple ultrasound indices include global longitudinal strain, ejection fraction and / or rate of change of area, mitral annulus displacement and / or tricuspid annulus displacement. The quality analysis model and the ultrasound index calculation model are independent models, or they can be integrated into a single model, such as the quality analysis model being integrated into the ultrasound index calculation model.

[0143] Step 420: Display ultrasound parameters. This can involve simultaneously displaying multiple ultrasound parameters and the image quality of the ultrasound image sequence. Alternatively, it can be based on the image quality of the ultrasound image sequence to display at least one of the multiple ultrasound parameters. For example, if the image quality of the ultrasound image sequence meets preset conditions, the overall longitudinal strain, ejection fraction, and / or area change rate among the multiple ultrasound parameters are displayed; if the image quality of the ultrasound image sequence does not meet preset conditions, the mitral annulus displacement and / or tricuspid annulus displacement among the multiple ultrasound parameters are displayed.

[0144] Some embodiments provide a computer-readable storage medium storing a program that can be executed by a processor to implement the above-described cardiac contractile function assessment method.

[0145] Those skilled in the art will understand that all or part of the functions of the various methods in the above embodiments can be implemented by hardware or by computer programs. When all or part of the functions in the above embodiments are implemented by computer programs, the program can be stored in a computer-readable storage medium, which may include: read-only memory, random access memory, disk, optical disk, hard disk, etc., and the program is executed by a computer to achieve the above functions. For example, the program can be stored in the memory of a device, and when the program in the memory is executed by the processor, all or part of the above functions can be achieved. In addition, when all or part of the functions in the above embodiments are implemented by computer programs, the program can also be stored in a server, another computer, disk, optical disk, flash drive, or external hard drive, etc., and can be downloaded or copied to the memory of a local device, or the system of the local device can be updated. When the program in the memory is executed by the processor, all or part of the functions in the above embodiments can be achieved.

[0146] The above examples illustrate this application only to aid understanding and are not intended to limit its scope. Those skilled in the art to which this application pertains can make various simple deductions, modifications, or substitutions based on the ideas presented.

Claims

1. A method for assessing cardiac contractile function, characterized in that, include: Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart; Based on the ultrasound index calculation model, multiple ultrasound indices related to the systolic function of the target heart are calculated from the ultrasound image sequence. The multiple ultrasound indices include global longitudinal strain, ejection fraction and / or area change rate, mitral annulus displacement and / or tricuspid annulus displacement. Obtain the image quality of the ultrasound image sequence; If the image quality of the ultrasound image sequence meets the preset conditions, the overall longitudinal strain, the ejection fraction, and / or the area change rate among the multiple ultrasound indicators are displayed. If the image quality of the ultrasound image sequence does not meet the preset conditions, the mitral annulus displacement and / or the tricuspid annulus displacement among the plurality of ultrasound indicators are displayed.

2. A method for assessing cardiac contractile function, characterized in that, include: Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart; Based on the ultrasound image sequence, multiple ultrasound indicators related to the systolic function of the target heart are calculated. The multiple ultrasound indicators include global longitudinal strain, ejection fraction and / or area change rate, mitral annulus displacement and / or tricuspid annulus displacement. Obtain the image quality of the ultrasound image sequence; If the image quality of the ultrasound image sequence meets the preset conditions, the overall longitudinal strain, the ejection fraction, and / or the area change rate among the multiple ultrasound indicators are displayed. If the image quality of the ultrasound image sequence does not meet the preset conditions, the mitral annulus displacement and / or the tricuspid annulus displacement among the multiple ultrasound indicators will be displayed.

3. A method for assessing cardiac contractile function, characterized in that, include: Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart; Based on the ultrasound index calculation model, multiple ultrasound indices related to the systolic function of the target heart are calculated from the ultrasound image sequence. The multiple ultrasound indices include a first type of ultrasound index and a second type of ultrasound index. The first type of ultrasound index includes at least one of mitral annular displacement and tricuspid annular displacement, and the second type of ultrasound index includes at least one of ejection fraction, area change rate, and global longitudinal strain. The image quality of the ultrasound image sequence is acquired, and at least one of the plurality of ultrasound indicators is displayed based on the image quality of the ultrasound image sequence.

4. The method for assessing cardiac contractile function as described in claim 3, characterized in that, The image quality of the ultrasound image sequence displays at least one of the plurality of ultrasound indicators, including: When the image quality of the ultrasound image sequence meets the preset conditions, at least one of the ultrasound indicators in the first type of ultrasound indicators is displayed. When the image quality of the ultrasound image sequence does not meet the preset conditions, at least one of the ultrasound indicators in the second type of ultrasound indicators is displayed.

5. The method for assessing cardiac contractile function as described in claim 3 or 4, characterized in that, Also includes: The ultrasound display interface includes an ultrasound index display area and an ultrasound index preview area. The ultrasound index preview area is used to display a display control corresponding to each of the plurality of ultrasound indices. The display control has a first state and a second state. The display control corresponding to at least one of the plurality of ultrasound indices is in the first state, and the display controls corresponding to the other ultrasound indices are in the second state. The ultrasound indicator display area is used to display at least one of the plurality of ultrasound indicators.

6. The method for assessing cardiac contractile function as described in claim 5, characterized in that, Also includes: The display control can respond to user operations and switch between the first state and the second state; The ultrasound index display area is used to display the ultrasound index corresponding to each of the display controls in the first state.

7. The method for assessing cardiac contractile function as described in claim 3, characterized in that, The image quality of the ultrasound image sequence displays at least one of the plurality of ultrasound indicators, including: The recommendation level of the first type of ultrasound index and the second type of ultrasound index are determined based on the image quality of the ultrasound image sequence, respectively. Based on the recommendation level, at least one ultrasound index from the first type of ultrasound index and at least one ultrasound index from the second type of ultrasound index are displayed.

8. The cardiac systolic function assessment method as described in claim 7, wherein at least one ultrasound index from the first category and at least one ultrasound index from the second category are displayed based on the recommendation level, comprising: Based on the order of recommendation, at least one ultrasound index in the first category and at least one ultrasound index in the second category are displayed in a corresponding order. And / or, Display at least one of the ultrasound indicators in the first type of ultrasound indicators, and display the first recommendation indicator corresponding to the recommendation degree of the first type of ultrasound indicators; Display at least one of the ultrasound indicators in the second category of ultrasound indicators, and display a second recommendation indicator corresponding to the recommendation level of the second category of ultrasound indicators.

9. The method for assessing cardiac contractile function as described in claim 7, characterized in that, The recommendation levels of the first type of ultrasound index and the second type of ultrasound index are determined based on the image quality of the ultrasound image sequence, including: When the image quality of the ultrasound image sequence meets the preset conditions, the recommendation degree of the first type of ultrasound index is greater than that of the second type of ultrasound index. When the image quality of the ultrasound image sequence does not meet the preset conditions, the recommendation degree of the first type of ultrasound index is less than that of the second type of ultrasound index.

10. The method for assessing cardiac contractile function as described in claim 3, characterized in that, Obtaining the image quality of the ultrasound image sequence includes: The image quality of each frame of the ultrasound image sequence is obtained, and the image quality of the ultrasound image sequence is determined based on the image quality of each frame of the ultrasound image.

11. The method for assessing cardiac systolic function as described in claim 3, characterized in that, Also includes: The credibility of the plurality of ultrasound indicators is determined based on the image quality of the ultrasound image sequence, and the credibility corresponding to at least one of the plurality of ultrasound indicators is displayed.

12. The method for assessing cardiac contractile function as described in claim 3, characterized in that, Based on the ultrasound index calculation model, multiple ultrasound indices related to the target heart and its systolic function are calculated from the ultrasound image sequence, including: The ultrasound image sequence is subjected to a first processing to obtain the first type of ultrasound index, and a second processing to obtain the second type of ultrasound index; wherein, the first processing includes a common processing and a first branch processing, and the second processing includes the common processing and the second branch processing; The common processing of the ultrasound image sequence yields multiple target myocardial sampling points of the target heart. Based on the target myocardial sampling points of different ultrasound images in the ultrasound image sequence, the first branch processing is performed to obtain at least one ultrasound index of the first type of ultrasound index. The second branch processing is performed to obtain at least one ultrasound index of the second type of ultrasound index.

13. A method for assessing cardiac systolic function, characterized in that, include: Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart; Based on the ultrasound image sequence, multiple ultrasound indicators related to the systolic function of the target heart are calculated. The multiple ultrasound indicators include a first type of ultrasound indicator and a second type of ultrasound indicator. The first type of ultrasound indicator includes at least one of mitral annular displacement and tricuspid annular displacement, and the second type of ultrasound indicator includes at least one of ejection fraction, area change rate, and global longitudinal strain. The image quality of the ultrasound image sequence is obtained, and at least one of the plurality of ultrasound indicators is displayed based on the image quality of the ultrasound image sequence.

14. A method for assessing cardiac systolic function, characterized in that, include: Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart; Based on the ultrasound index calculation model, multiple ultrasound indices related to the systolic function of the target heart are calculated from the ultrasound image sequence. The multiple ultrasound indices include global longitudinal strain, ejection fraction and / or area change rate, mitral annulus displacement and / or tricuspid annulus displacement. Obtain the image quality of the ultrasound image sequence; The multiple ultrasound parameters are displayed, and the image quality of the ultrasound image sequence is also displayed.

15. A method for assessing cardiac contractile function, characterized in that, include: Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart; Obtain the image quality of the ultrasound image sequence; When the image quality of the ultrasound image sequence meets the preset conditions, the first type of ultrasound index related to the target heart and systolic function is calculated based on the ultrasound image sequence and the first type of ultrasound index is displayed; wherein, the first type of ultrasound index includes at least one of mitral annular displacement and tricuspid annular displacement. When the image quality of the ultrasound image sequence does not meet the preset conditions, a second type of ultrasound index related to the target heart and systolic function is calculated based on the ultrasound image sequence and the second type of ultrasound index is displayed; wherein, the second type of ultrasound index includes at least one of ejection fraction, area change rate and global longitudinal strain.

16. The method for assessing cardiac contractile function as described in claim 15, characterized in that, The second type of ultrasound indices related to the target heart's systolic function are calculated based on the ultrasound image sequence, including: If the section type of the ultrasound image sequence includes a first preset section type, at least one of the ejection fraction, the area change rate, and the overall longitudinal strain of the second type of ultrasound index is calculated based on the ultrasound image sequence. If the section type of the ultrasound image sequence includes a second preset section type, at least one of the ejection fraction and the overall longitudinal strain of the second type of ultrasound index is calculated based on the ultrasound image sequence.

17. A method for assessing cardiac systolic function, characterized in that, include: Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart; Based on the ultrasound index calculation model, multiple ultrasound indices related to the contractile function of the target heart are calculated from the ultrasound image sequence. The multiple ultrasound indicators are displayed.

18. A method for assessing cardiac systolic function, characterized in that, include: Acquire an ultrasound image sequence of the target heart, the ultrasound image sequence comprising multiple ultrasound images, the ultrasound images being able to reflect the tissue structure of the target heart; Activate ultrasound index measurement function: The image quality of the ultrasound image sequence is calculated based on a quality analysis model. Based on the ultrasound index calculation model, multiple ultrasound indices related to the systolic function of the target heart are calculated from the ultrasound image sequence. The multiple ultrasound indices include global longitudinal strain, ejection fraction and / or area change rate, mitral annulus displacement and / or tricuspid annulus displacement; wherein, the quality analysis model and the ultrasound index calculation model are independent models, or the quality analysis model and the ultrasound index calculation model are integrated into a single model. Display the image quality of the plurality of ultrasound indicators and the ultrasound image sequence; or, based on the image quality of the ultrasound image sequence, display at least one of the plurality of ultrasound indicators.

19. An ultrasonic device, characterized in that, include: An ultrasonic probe is used to emit ultrasonic waves toward a region of interest and to receive the echoes of the ultrasonic waves. A transmitting and receiving control circuit is used to control the ultrasonic probe to transmit ultrasonic waves toward the region of interest and to receive the echoes of the ultrasonic waves. A processor for executing computer programs and / or instructions to implement the method as described in any one of claims 1-18.

20. A computer-readable storage medium, characterized in that, The medium stores a program that can be executed by a processor to implement the method as described in any one of claims 1-18.

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