CN116109626A - Processing method and device of heart ultrasonic data, storage medium and electronic equipment - Google Patents

Processing method and device of heart ultrasonic data, storage medium and electronic equipment Download PDF

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CN116109626A
CN116109626A CN202310351482.4A CN202310351482A CN116109626A CN 116109626 A CN116109626 A CN 116109626A CN 202310351482 A CN202310351482 A CN 202310351482A CN 116109626 A CN116109626 A CN 116109626A
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left ventricular
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heart
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黄莉娟
贾亚松
向斌
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Shenzhen Kunwei Technology Co ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B8/0883Detecting organic movements or changes, e.g. tumours, cysts, swellings for diagnosis of the heart
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    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
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    • G06T2207/10132Ultrasound image
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    • G06T2207/30048Heart; Cardiac

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Abstract

The application discloses a processing method, a device, a storage medium and electronic equipment of heart ultrasonic data, wherein the method comprises the following steps: acquiring heart ultrasonic data to be processed, wherein the heart ultrasonic data comprises a plurality of frames of heart ultrasonic images arranged in time sequence; calculating the left ventricular cavity volume corresponding to each frame of heart ultrasonic image in the heart ultrasonic data; generating a left ventricular cavity volume change curve according to the left ventricular cavity volume corresponding to each frame of heart ultrasonic image; determining a plurality of cardiac cycles contained in the cardiac ultrasonic data according to the left ventricular chamber volume change curve, and calculating cardiac analysis parameters corresponding to each cardiac cycle; and simultaneously displaying the left ventricular cavity volume change curve and heart analysis parameters corresponding to each cardiac cycle. According to the technical scheme, the heart analysis parameters of a plurality of cardiac cycles can be displayed at the same time, repeated parameter calculation is not needed for the heart ultrasonic data corresponding to each cardiac cycle, and therefore analysis efficiency of the heart ultrasonic data is improved.

Description

Processing method and device of heart ultrasonic data, storage medium and electronic equipment
Technical Field
The application belongs to the technical field of medical imaging, and particularly relates to a processing method and device of heart ultrasonic data, a storage medium and electronic equipment.
Background
The heart maintains normal functioning of the body by pumping blood into various organs of the body, where contraction of the left ventricle is the primary force pushing blood into the body. Therefore, the systolic function is an important index for evaluating the condition of the heart as a whole, and ultrasound data of the heart is generally acquired using ultrasound examination, and further the systolic function is determined by analyzing the ultrasound data of the heart. The contraction of the heart is typically periodic, and thus, assessment of the systolic function is typically based on the heart producing data over a period to analyze the systolic function. However, in some cases, it is often necessary to combine the analysis results of multiple cycles to determine the systolic function of the heart, which requires the user to analyze each cycle separately, and the analysis content of each cycle is the same, which results in multiple repeated actions by the user, and reduces the analysis efficiency.
It should be noted that the information disclosed in the foregoing background section is only for enhancing understanding of the background of the present application and thus may include information that does not form the prior art that is already known to those of ordinary skill in the art.
Disclosure of Invention
The invention aims to provide a processing method, a device, a storage medium and electronic equipment for heart ultrasonic data, so as to optimize the problem of low heart ultrasonic data analysis efficiency in the related technology.
Other features and advantages of the present application will be apparent from the following detailed description, or may be learned in part by the practice of the application.
According to an aspect of the embodiments of the present application, there is provided a method for processing cardiac ultrasound data, including:
acquiring heart ultrasonic data to be processed, wherein the heart ultrasonic data comprises a plurality of frames of heart ultrasonic images arranged in time sequence;
calculating the left ventricular cavity volume corresponding to each frame of heart ultrasonic image in the heart ultrasonic data;
generating a left ventricular cavity volume change curve according to the left ventricular cavity volume corresponding to each frame of heart ultrasonic image;
determining a plurality of cardiac cycles contained in the cardiac ultrasonic data according to the left ventricular cavity volume change curve, and calculating cardiac analysis parameters corresponding to each cardiac cycle;
and simultaneously displaying the left ventricular cavity volume change curve and heart analysis parameters corresponding to each cardiac cycle.
According to an aspect of the embodiments of the present application, there is provided a processing apparatus for cardiac ultrasound data, including:
The data acquisition module is used for acquiring heart ultrasonic data to be processed, wherein the heart ultrasonic data comprises a plurality of frames of heart ultrasonic images which are arranged according to time sequence;
the volume calculation module is used for calculating the volume of the left ventricle cavity corresponding to each frame of heart ultrasonic image in the heart ultrasonic data;
the curve generation module is used for generating a left ventricular cavity volume change curve according to the left ventricular cavity volume corresponding to each frame of heart ultrasonic image;
the parameter calculation module is used for determining a plurality of cardiac cycles contained in the cardiac ultrasonic data according to the left ventricular chamber volume change curve and calculating heart analysis parameters corresponding to each cardiac cycle;
and the data display module is used for simultaneously displaying the left ventricular cavity volume change curve and heart analysis parameters corresponding to each cardiac cycle.
In one embodiment of the present application, the apparatus further comprises:
the statistical result display module is used for responding to the selection operation of the heart analysis parameters corresponding to the target cardiac cycle and displaying the statistical result of the heart analysis parameters corresponding to the target cardiac cycle; the target cardiac cycle includes at least one cardiac cycle.
In one embodiment of the present application, the volume calculation module includes:
The characteristic extraction unit is used for extracting structural characteristics of the heart ultrasonic data to obtain left ventricle structural characteristics corresponding to each frame of heart ultrasonic image in the heart ultrasonic data;
the outline determining unit is used for determining the outline of the left ventricle cavity in each frame of heart ultrasonic image according to the left ventricle structure characteristics corresponding to each frame of heart ultrasonic image;
and the volume calculating unit is used for calculating the left ventricular cavity volume corresponding to each frame of heart ultrasonic image according to the image area surrounded by the left ventricular cavity outline in each frame of heart ultrasonic image.
In one embodiment of the present application, the apparatus further comprises:
the model training module is used for acquiring sample heart ultrasonic data, wherein the sample heart ultrasonic data comprises a sample label for marking the structural characteristics of the left ventricle; training a feature extraction model through the sample heart ultrasonic data with the sample tag to obtain a trained feature extraction model, wherein the trained feature extraction model is used for extracting structural features of the heart ultrasonic data.
In one embodiment of the present application, the volume calculation unit is specifically configured to:
dividing an image area surrounded by a left ventricular cavity outline in the heart ultrasonic image into a plurality of subareas along the long axis direction of a left ventricle;
And calculating the volume of each subarea, and obtaining the left ventricular cavity volume corresponding to the heart ultrasonic image according to the sum of the volumes of the subareas.
In one embodiment of the present application, the parameter calculation module includes:
the time determining unit is used for determining end diastole time or end systole time of the left ventricle cavity according to the left ventricle cavity volume change curve, wherein the end diastole time is a wave crest in the left ventricle cavity volume change curve, and the end systole time is a wave trough in the left ventricle cavity volume change curve;
a cardiac cycle determining unit, configured to use a duration corresponding to two adjacent end diastole moments or end systole moments as one cardiac cycle included in the cardiac ultrasound data;
and the analysis parameter calculation unit is used for calculating heart analysis parameters corresponding to the cardiac cycle according to the multi-frame heart ultrasonic images corresponding to the cardiac cycle.
In one embodiment of the present application, the cardiac analysis parameter comprises left ventricular ejection fraction; the analysis parameter calculation unit is specifically configured to:
acquiring the left ventricular cavity volume represented by the heart ultrasonic image corresponding to the end diastole time in the cardiac cycle and the left ventricular cavity volume represented by the heart ultrasonic image corresponding to the end systole time in the cardiac cycle;
Calculating a difference between the left ventricular chamber volume corresponding to the end diastole time and the left ventricular chamber volume corresponding to the end systole time;
and obtaining the left ventricular ejection fraction corresponding to the cardiac cycle according to the ratio of the difference value to the left ventricular cavity volume corresponding to the end diastole.
According to an aspect of the embodiments of the present application, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method of processing cardiac ultrasound data as in the above technical solutions.
According to an aspect of the embodiments of the present application, there is provided an electronic device including: a processor; and a memory for storing executable instructions of the processor; wherein execution of the executable instructions by the processor causes the electronic device to perform the method of processing cardiac ultrasound data as in the above technical solution.
According to the technical scheme provided by the embodiment of the application, the left ventricular cavity volume corresponding to each frame of heart ultrasonic image in the heart ultrasonic data is calculated, so that a left ventricular cavity volume change curve is generated, however, a plurality of cardiac cycles are determined according to the left ventricular cavity volume change curve, heart analysis parameters of each cardiac cycle are calculated, and finally the left ventricular cavity volume change curve and the heart analysis parameters of each cardiac cycle are simultaneously displayed, so that a user can quickly determine the number of cardiac cycles included in the processed heart ultrasonic data and the heart analysis parameters corresponding to each cardiac cycle, and when the user needs to obtain the heart analysis parameters of the plurality of cardiac cycles, repeated parameter calculation is not needed for the heart ultrasonic data corresponding to each cardiac cycle, so that the analysis efficiency of the heart ultrasonic data is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. It is apparent that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 schematically shows a block diagram of an exemplary system architecture to which the technical solution of the present application is applied.
Fig. 2 is a flow chart adaptively illustrating a method for processing cardiac ultrasound data according to an embodiment of the present application.
Fig. 3 schematically shows a schematic view of an ultrasound image of the heart provided in one embodiment of the present application.
Fig. 4 schematically illustrates a schematic diagram of a left ventricular chamber volume change curve provided by an embodiment of the present application.
Fig. 5 schematically illustrates a schematic diagram of a display interface provided by an embodiment of the present application.
Fig. 6 schematically shows a block diagram of a processing apparatus for cardiac ultrasound data provided in an embodiment of the present application.
Fig. 7 schematically illustrates a block diagram of a computer system suitable for use in implementing embodiments of the present application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present application. One skilled in the relevant art will recognize, however, that the aspects of the application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the application.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
Fig. 1 schematically shows a block diagram of an exemplary system architecture to which the technical solution of the present application is applied.
As shown in fig. 1, system architecture 100 may include a terminal device 110, a network 120, and a server 130. Terminal devices 110 may include smart phones, tablet computers, notebook computers, intelligent voice interaction devices, intelligent appliances, vehicle terminals, ultrasound devices, and the like. The server 130 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud computing services. Network 120 may be a communication medium of various connection types capable of providing a communication link between terminal device 110 and server 130, and may be, for example, a wired communication link or a wireless communication link.
The technical solution provided in the embodiment of the present application is applied to the server 130, and may also be implemented in the interaction process between the terminal device 110 and the server 130. For example, the technical scheme provided in the embodiments of the present application is implemented by the terminal device 110, where the terminal device 110 acquires cardiac ultrasound data to be processed, where the cardiac ultrasound data includes a plurality of frames of cardiac ultrasound images arranged in time sequence, for example, the terminal device 110 is an ultrasound device, and a user operates the ultrasound device to perform an ultrasound examination on a heart of a target object, so as to obtain cardiac ultrasound data. Then, the terminal device 110 calculates the volume of the left ventricle cavity corresponding to each frame of the cardiac ultrasound image in the cardiac ultrasound data, and generates a left ventricle cavity volume change curve according to the volume of the left ventricle cavity corresponding to each frame of the cardiac ultrasound image. Next, the terminal device 110 determines a plurality of cardiac cycles included in the cardiac ultrasound data according to the left ventricular chamber volume change curve, and calculates cardiac analysis parameters corresponding to the respective cardiac cycles. Finally, the terminal device 110 simultaneously displays the left ventricular chamber volume change curve and the heart analysis parameters corresponding to each cardiac cycle.
The technical scheme can be directly integrated on the ultrasonic equipment, and can also be used as offline analysis software to be applied to other terminal equipment 110 different from the ultrasonic equipment.
The method for processing cardiac ultrasound data provided in the present application is described in detail below in conjunction with the detailed description.
Fig. 2 is a flowchart adaptively illustrating a method for processing cardiac ultrasound data according to an embodiment of the present application, which may be implemented by a cardiac ultrasound data processing apparatus, which may be implemented by the system architecture shown in fig. 1. As shown in fig. 2, the method for processing cardiac ultrasound data provided in the embodiment of the present application includes steps 210 to 240, which are specifically as follows:
step 210, acquiring cardiac ultrasound data to be processed, wherein the cardiac ultrasound data comprises a plurality of frames of cardiac ultrasound images arranged in time sequence.
Specifically, the cardiac ultrasound data to be processed may be obtained by performing an ultrasound examination of the heart of the target object using an ultrasound apparatus, or may be cardiac ultrasound data stored in advance. The cardiac ultrasound data is video data comprising a plurality of frames of cardiac ultrasound images arranged in a time sequence, each frame of cardiac ultrasound image representing a structural state of the heart at a corresponding time, such as a size of a heart ventricle.
In one embodiment of the present application, the length of time corresponding to the cardiac ultrasound data needs to be greater than a specified duration, where the specified duration may be set according to a cardiac cycle, and in general, the specified duration is greater than one cardiac cycle, and the specified duration may be set as an integer multiple of the cardiac cycle. The cardiac cycle referred to herein may be the cardiac cycle of the target object or the cardiac cycle of the category to which the target object belongs. For example, if the target subject is a human, the cardiac cycle may be an average cardiac cycle of 0.8 seconds for an adult human; if the target object is an animal, the cardiac cycle may set an average cardiac cycle for the corresponding animal.
In one embodiment of the present application, the cardiac ultrasound data is video data of heart beats of a four-chamber heart or a two-chamber heart cut of the apex of the heart to facilitate analysis of the contraction of the left ventricle.
Step 220, calculating the left ventricular cavity volume corresponding to each frame of heart ultrasonic image in the heart ultrasonic data.
Specifically, the left ventricular chamber volume is the volume of the left ventricular chamber of the heart. One frame of heart ultrasonic image is equivalent to shooting an image of the heart at a certain moment, the image records the position state of each structure of the heart at the moment, and the position and the size of the left ventricle cavity are determined by analyzing the heart ultrasonic image, so that the left ventricle cavity volume is calculated.
In one embodiment of the present application, the process of calculating the left ventricular chamber volume includes: extracting structural features of the heart ultrasonic data to obtain left ventricle structural features corresponding to each frame of heart ultrasonic image in the heart ultrasonic data; determining the left ventricular cavity outline in each frame of heart ultrasonic image according to the left ventricular structure characteristics corresponding to each frame of heart ultrasonic image; and calculating the left ventricular cavity volume corresponding to each frame of heart ultrasonic image according to the image area surrounded by the left ventricular cavity outline in each frame of heart ultrasonic image.
Specifically, the left ventricle comprises various structures, such as a mitral valve annulus, a ventricular wall, an endocardium and the like, and the structural feature extraction is to extract or identify the structural features of the left ventricle in each frame of heart ultrasonic image, so that the structural feature extraction is to identify or extract the structural features of the left ventricle for each frame of heart ultrasonic image, so as to determine the image area of the left ventricle cavity in the heart ultrasonic image according to the structural features of the left ventricle. The image area of the left ventricle cavity can be embodied by the left ventricle cavity contour, firstly, an interface between tissue and blood is identified in the heart ultrasonic image, and the interface is a part of the left ventricle cavity contour; and then connecting two opposite tangential points of the mitral valve annulus according to the extracted structural characteristics of the left ventricle cavity, and sealing the outline formed by the interface to obtain the complete outline of the left ventricle cavity. After the left ventricular cavity contour is determined, the left ventricular cavity volume can be calculated from the image region surrounded by the left ventricular cavity contour in the cardiac ultrasound image.
In one embodiment of the present application, structural feature extraction may be achieved by a feature extraction model. First, sample cardiac ultrasound data is acquired and labeled, which may include a plurality of labels, each of which is used to label a structural feature of the left ventricle. A feature extraction model is then constructed, which may be based on a deep learning network construction, such as a unet, deeplabv < 3+ > network model. And then training the feature extraction model by using the sample heart ultrasonic data to obtain a trained feature extraction model. And finally, carrying out structural feature extraction on the heart ultrasonic data by using the trained feature extraction model.
In one embodiment of the present application, when calculating the left ventricular chamber volume, an image region surrounded by the left ventricular chamber contour in the cardiac ultrasound image is first divided into a plurality of sub-regions along the left ventricular long axis direction. The shape of the left ventricular chamber resembles an ellipse, the long axis of the left ventricle being the long axis of the ellipse. The left ventricular cavity is divided into a plurality of subregions along the long axis direction of the left ventricle, specifically, a plurality of line segments perpendicular to the long axis of the left ventricle can be made, two ends of each line segment respectively intersect with the outlines of the left ventricular cavities at two sides of the long axis of the left ventricle, the distance between two adjacent line segments is a preset interval distance, and then the two adjacent line segments and the outlines of the left ventricular cavities between the two adjacent line segments form a subregion of the left ventricular cavity. Illustratively, fig. 3 schematically illustrates a schematic diagram of a cardiac ultrasound image provided in an embodiment of the present application, where the image area enclosed by the left ventricular cavity contour 310, as shown in fig. 3, represents the left ventricular cavity in the cardiac ultrasound image, which is similar to an ellipse, with a left ventricular long axis 320. According to the preset interval distance, a plurality of line segments 330 perpendicular to the long axis 320 of the left ventricle are made, and two ends of the line segments 330 are intersected with the left ventricle cavity contour 310 respectively, so that an image area surrounded by the left ventricle cavity contour 310 is divided into a plurality of sub-areas along the direction of the long axis 320 of the left ventricle.
After the left ventricle cavity is divided into a plurality of subareas, the volume of each subarea is calculated, and the left ventricle cavity volume corresponding to the heart ultrasonic image is obtained according to the sum of the volumes of the subareas. A sub-region may be approximately regarded as a truncated cone or a cylinder, and taking the cylinder as an example, the length of one of two line segments forming the sub-region may be taken as the bottom diameter of the cylinder, or the average value of the lengths of the two line segments may be taken as the bottom diameter, and the height of the cylinder is the preset interval distance, so that the volume of the sub-region is obtained according to the bottom diameter and the preset interval distance.
In one embodiment of the present application, as shown in fig. 3, the left ventricular chamber volume calculation method may refer to the following formula:
Figure SMS_1
wherein D1 and D2 respectively represent distances between two end points of a line segment dividing the sub-region and a long axis of the left ventricle, H represents a preset interval distance, wherein h=l/n, L represents a length of the long axis of the left ventricle, and n represents the number of the divided sub-regions.
Step 230, generating a left ventricular cavity volume change curve according to the left ventricular cavity volume corresponding to each frame of heart ultrasonic image.
Specifically, since the frames of cardiac ultrasound images are arranged in time sequence, that is, the left ventricular cavity volume corresponding to each frame of cardiac ultrasound image changes with time, the left ventricular cavity volume change curve represents the relationship curve of the left ventricular cavity volume changing with time. By way of example, fig. 4 schematically illustrates a schematic diagram of a left ventricular chamber volume change curve provided by one embodiment of the present application.
Step 240, determining a plurality of cardiac cycles included in the cardiac ultrasound data according to the left ventricular chamber volume change curve, and calculating cardiac analysis parameters corresponding to each cardiac cycle.
Specifically, the cardiac cycle refers to a cycle of heart beating, during the heart beating, the left ventricular chamber will contract and relax, the left ventricular chamber volume increases during the left ventricular diastole, the left ventricular chamber volume decreases during the left ventricular systole, and one cardiac cycle involves two processes of the left ventricular systole and diastole, so that the time period from the present diastole to the next diastole can be regarded as one cardiac cycle, and the time period from the present systole to the next systole can also be regarded as one cardiac cycle. The determination of the cardiac cycle actually divides the cardiac ultrasound data into cardiac ultrasound data corresponding to a plurality of cardiac cycles, and based on the cardiac ultrasound data corresponding to each cardiac cycle, a cardiac analysis parameter corresponding to the cardiac cycle can be calculated, where the cardiac analysis parameter is a parameter for evaluating a systolic function, such as a left ventricular ejection fraction (Left Ventricular Ejection Fractions, LVEF), abbreviated as ejection fraction (Ejection Fractions, EF), for reflecting a proportion of blood leaving the heart at each systole, which can be reflected by a volume change at the systole and diastole of the left ventricle.
In one embodiment of the present application, the process of determining the cardiac cycle may include: the end diastole time or the end systole time of the left ventricle cavity is determined according to the volume change curve of the left ventricle cavity, wherein the end diastole time is the time when the end diastole of the left ventricle cavity is finished, the volume of the left ventricle cavity reaches the maximum value at the moment, and then the time corresponding to the peak in the volume change curve of the left ventricle cavity is the end diastole time. The last time of contraction indicates the time when the contraction of the left ventricle cavity is ended, and the volume of the left ventricle cavity should reach a minimum value at the moment, and then the time corresponding to the trough in the volume change curve of the left ventricle cavity is the last time of contraction. Then, the time periods corresponding to the adjacent two end diastole or end systole times are used as one cardiac cycle included in the cardiac ultrasound data. And finally, calculating heart analysis parameters corresponding to the cardiac cycle according to the multi-frame heart ultrasonic images corresponding to the cardiac cycle.
The cardiac analysis parameters may include end-diastolic volume, end-systolic volume, and left ventricular ejection fraction, where end-diastolic volume represents the left ventricular chamber volume corresponding to end-diastolic time and end-systolic volume represents the left ventricular chamber volume corresponding to end-systolic time. Finding the volume corresponding to the end diastole time in the cardiac cycle on the left ventricular chamber volume change curve is the end diastole volume, and the volume corresponding to the end systole time is the end systole volume, as shown in fig. 4 by way of example. The left ventricular ejection fraction is obtained from the ratio of the difference between the end-diastolic volume and the end-systolic volume to the end-diastolic volume, and can be calculated with reference to the following formula:
EF=(EDV-ESV)/EDV
Where EF represents left ventricular ejection fraction, EDV represents end-diastolic volume, and ESV represents end-systolic volume.
Step 250, simultaneously displaying the left ventricular chamber volume change curve and the heart analysis parameters corresponding to each cardiac cycle.
Specifically, the left ventricular chamber volume change curve and the calculated heart analysis parameters corresponding to each cardiac cycle are simultaneously displayed through a display interface.
According to the technical scheme provided by the embodiment of the application, the left ventricular cavity volume corresponding to each frame of heart ultrasonic image in the heart ultrasonic data is calculated, so that a left ventricular cavity volume change curve is generated, however, a plurality of cardiac cycles are determined according to the left ventricular cavity volume change curve, heart analysis parameters of each cardiac cycle are calculated, and finally the left ventricular cavity volume change curve and the heart analysis parameters of each cardiac cycle are simultaneously displayed, so that a user can quickly determine the number of cardiac cycles included in the processed heart ultrasonic data and the heart analysis parameters corresponding to each cardiac cycle, and when the user needs to obtain the heart analysis parameters of the plurality of cardiac cycles, repeated parameter calculation is not needed for the heart ultrasonic data corresponding to each cardiac cycle, so that the analysis efficiency of the heart ultrasonic data is improved.
In one embodiment of the present application, after displaying the cardiac analysis parameters, the user may need to select a cardiac analysis parameter corresponding to the target cardiac cycle from the displayed cardiac analysis parameters of the plurality of cardiac cycles, and the processing device of cardiac ultrasound data displays a statistical result of the cardiac analysis parameters corresponding to the target cardiac cycle in response to a selection operation for the cardiac analysis parameter corresponding to the target cardiac cycle; wherein the target cardiac cycle comprises at least one cardiac cycle. The statistics of the cardiac analysis parameters include maximum, minimum, mean, etc., for example, taking the left ventricular ejection fraction as an example, if the target cardiac cycle includes two cardiac cycles, the display interface may display one or more of the left ventricular ejection fraction maximum, the left ventricular ejection fraction minimum, the left ventricular ejection fraction mean.
Illustratively, fig. 5 schematically illustrates a schematic diagram of a display interface provided in an embodiment of the present application, and as shown in fig. 5, the display interface includes an image display area 510, a parameter display area 520, and a statistics display area 530. The image display area 510 is for displaying cardiac ultrasound data, which is video data composed of a plurality of frames of cardiac ultrasound images. The parameter display area is used for displaying heart analysis parameters corresponding to each cardiac cycle in the left ventricular cavity volume change curve. The statistics display area 530 is used to display statistics of cardiac analysis parameters corresponding to the selected target cardiac cycle. For example, in the display interface shown in fig. 5, the user selects the heart analysis parameter of the 2 nd cardiac Cycle (Cycle 2) in the parameter display area 520, and accordingly, the statistics result display area 530 displays the statistics result of the heart analysis parameter, and since the target cardiac Cycle is one cardiac Cycle, the statistics result of the heart analysis parameter is the heart analysis parameter itself, and as shown in fig. 5, the statistics result display area 530 displays the cardiac Cycle number 2/3 as the 2 nd cardiac Cycle in 3 cardiac cycles, which corresponds to the Left Ventricular End Diastolic Volume (LVEDV), the Left Ventricular End Systolic Volume (LVESV), the left ventricular Ejection Fraction (EF), and the left ventricular Volume (Stroke Volume, SV).
The following describes an embodiment of a device of the present application that may be used to perform the method of processing cardiac ultrasound data in the above-described embodiments of the present application. Fig. 6 schematically shows a block diagram of a processing apparatus for cardiac ultrasound data provided in an embodiment of the present application. As shown in fig. 6, a processing device for cardiac ultrasound data provided in an embodiment of the present application includes:
a data acquisition module 610, configured to acquire cardiac ultrasound data to be processed, where the cardiac ultrasound data includes a plurality of frames of cardiac ultrasound images arranged in a time sequence;
the volume calculating module 620 is configured to calculate a left ventricular chamber volume corresponding to each frame of cardiac ultrasound image in the cardiac ultrasound data;
the curve generating module 630 is configured to generate a left ventricular chamber volume change curve according to the left ventricular chamber volume corresponding to each frame of cardiac ultrasound image;
a parameter calculation module 640, configured to determine a plurality of cardiac cycles included in the cardiac ultrasound data according to the left ventricular chamber volume change curve, and calculate cardiac analysis parameters corresponding to each cardiac cycle;
the data display module 650 is configured to simultaneously display the left ventricular chamber volume change curve and cardiac analysis parameters corresponding to each cardiac cycle.
In one embodiment of the present application, the apparatus further comprises:
the statistical result display module is used for responding to the selection operation of the heart analysis parameters corresponding to the target cardiac cycle and displaying the statistical result of the heart analysis parameters corresponding to the target cardiac cycle; the target cardiac cycle includes at least one cardiac cycle.
In one embodiment of the present application, the volume calculation module 620 includes:
the characteristic extraction unit is used for extracting structural characteristics of the heart ultrasonic data to obtain left ventricle structural characteristics corresponding to each frame of heart ultrasonic image in the heart ultrasonic data;
the outline determining unit is used for determining the outline of the left ventricle cavity in each frame of heart ultrasonic image according to the left ventricle structure characteristics corresponding to each frame of heart ultrasonic image;
and the volume calculating unit is used for calculating the left ventricular cavity volume corresponding to each frame of heart ultrasonic image according to the image area surrounded by the left ventricular cavity outline in each frame of heart ultrasonic image.
In one embodiment of the present application, the apparatus further comprises:
the model training module is used for acquiring sample heart ultrasonic data, wherein the sample heart ultrasonic data comprises a sample label for marking the structural characteristics of the left ventricle; training a feature extraction model through the sample heart ultrasonic data with the sample tag to obtain a trained feature extraction model, wherein the trained feature extraction model is used for extracting structural features of the heart ultrasonic data.
In one embodiment of the present application, the volume calculation unit is specifically configured to:
dividing an image area surrounded by a left ventricular cavity outline in the heart ultrasonic image into a plurality of subareas along the long axis direction of a left ventricle;
and calculating the volume of each subarea, and obtaining the left ventricular cavity volume corresponding to the heart ultrasonic image according to the sum of the volumes of the subareas.
In one embodiment of the present application, the parameter calculation module 640 includes:
the time determining unit is used for determining end diastole time or end systole time of the left ventricle cavity according to the left ventricle cavity volume change curve, wherein the end diastole time is a wave crest in the left ventricle cavity volume change curve, and the end systole time is a wave trough in the left ventricle cavity volume change curve;
a cardiac cycle determining unit, configured to use a duration corresponding to two adjacent end diastole moments or end systole moments as one cardiac cycle included in the cardiac ultrasound data;
and the analysis parameter calculation unit is used for calculating heart analysis parameters corresponding to the cardiac cycle according to the multi-frame heart ultrasonic images corresponding to the cardiac cycle.
In one embodiment of the present application, the cardiac analysis parameter comprises left ventricular ejection fraction; the analysis parameter calculation unit is specifically configured to:
Acquiring the left ventricular cavity volume represented by the heart ultrasonic image corresponding to the end diastole time in the cardiac cycle and the left ventricular cavity volume represented by the heart ultrasonic image corresponding to the end systole time in the cardiac cycle;
calculating a difference between the left ventricular chamber volume corresponding to the end diastole time and the left ventricular chamber volume corresponding to the end systole time;
and obtaining the left ventricular ejection fraction corresponding to the cardiac cycle according to the ratio of the difference value to the left ventricular cavity volume corresponding to the end diastole.
Specific details of the processing device for cardiac ultrasound data provided in the embodiments of the present application have been described in the corresponding method embodiments, and are not described herein.
Fig. 7 schematically shows a block diagram of a computer system for implementing an electronic device according to an embodiment of the present application.
It should be noted that, the computer system 700 of the electronic device shown in fig. 7 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.
As shown in fig. 7, the computer system 700 includes a central processing unit 701 (Central Processing Unit, CPU) which can execute various appropriate actions and processes according to a program stored in a Read-Only Memory 702 (ROM) or a program loaded from a storage section 708 into a random access Memory 703 (Random Access Memory, RAM). In the random access memory 703, various programs and data necessary for the system operation are also stored. The central processing unit 701, the read only memory 702, and the random access memory 703 are connected to each other via a bus 704. An Input/Output interface 705 (i.e., an I/O interface) is also connected to bus 704.
The following components are connected to the input/output interface 705: an input section 706 including a keyboard, a mouse, and the like; an output section 707 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and the like, a speaker, and the like; a storage section 708 including a hard disk or the like; and a communication section 709 including a network interface card such as a local area network card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. The drive 710 is also connected to the input/output interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read therefrom is mounted into the storage section 708 as necessary.
In particular, according to embodiments of the present application, the processes described in the various method flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 709, and/or installed from the removable medium 711. The computer programs, when executed by the central processor 701, perform the various functions defined in the system of the present application.
It should be noted that, the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal that propagates in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit, in accordance with embodiments of the present application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a usb disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a touch terminal, or a network device, etc.) to perform the method according to the embodiments of the present application.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (10)

1. A method of processing cardiac ultrasound data, comprising:
acquiring heart ultrasonic data to be processed, wherein the heart ultrasonic data comprises a plurality of frames of heart ultrasonic images arranged in time sequence;
calculating the left ventricular cavity volume corresponding to each frame of heart ultrasonic image in the heart ultrasonic data;
generating a left ventricular cavity volume change curve according to the left ventricular cavity volume corresponding to each frame of heart ultrasonic image;
determining a plurality of cardiac cycles contained in the cardiac ultrasonic data according to the left ventricular cavity volume change curve, and calculating cardiac analysis parameters corresponding to each cardiac cycle;
and simultaneously displaying the left ventricular cavity volume change curve and heart analysis parameters corresponding to each cardiac cycle.
2. The method of processing cardiac ultrasound data according to claim 1, wherein after simultaneously displaying the left ventricular chamber volume change curve and the cardiac analysis parameters corresponding to each cardiac cycle, the method further comprises:
responding to the selection operation of the heart analysis parameters corresponding to the target cardiac cycle, and displaying the statistical result of the heart analysis parameters corresponding to the target cardiac cycle; the target cardiac cycle includes at least one cardiac cycle.
3. The method for processing cardiac ultrasound data according to claim 1, wherein calculating a left ventricular chamber volume corresponding to each frame of cardiac ultrasound image in the cardiac ultrasound data comprises:
extracting structural features of the heart ultrasonic data to obtain left ventricle structural features corresponding to each frame of heart ultrasonic image in the heart ultrasonic data;
determining the left ventricular cavity outline in each frame of heart ultrasonic image according to the left ventricular structure characteristics corresponding to each frame of heart ultrasonic image;
and calculating the left ventricular cavity volume corresponding to each frame of heart ultrasonic image according to the image area surrounded by the left ventricular cavity outline in each frame of heart ultrasonic image.
4. A method of processing cardiac ultrasound data according to claim 3, wherein prior to structural feature extraction of the cardiac ultrasound data, the method further comprises:
acquiring sample heart ultrasonic data, wherein the sample heart ultrasonic data comprises a sample tag for marking left ventricle structural characteristics;
training a feature extraction model through the sample heart ultrasonic data with the sample tag to obtain a trained feature extraction model, wherein the trained feature extraction model is used for extracting structural features of the heart ultrasonic data.
5. A method of processing cardiac ultrasound data according to claim 3, wherein calculating a left ventricular chamber volume corresponding to each frame of cardiac ultrasound image from an image region surrounded by a left ventricular chamber contour in each frame of cardiac ultrasound image comprises:
dividing an image area surrounded by a left ventricular cavity outline in the heart ultrasonic image into a plurality of subareas along the long axis direction of a left ventricle;
and calculating the volume of each subarea, and obtaining the left ventricular cavity volume corresponding to the heart ultrasonic image according to the sum of the volumes of the subareas.
6. The method of processing cardiac ultrasound data according to claim 1, wherein determining a plurality of cardiac cycles included in the cardiac ultrasound data from the left ventricular chamber volume change curve and calculating cardiac analysis parameters corresponding to the respective cardiac cycles includes:
determining end diastole time or end systole time of a left ventricular cavity according to the left ventricular cavity volume change curve, wherein the end diastole time is a peak in the left ventricular cavity volume change curve, and the end systole time is a trough in the left ventricular cavity volume change curve;
taking the time length corresponding to two adjacent end diastole time or end systole time as a cardiac cycle contained in the heart ultrasonic data;
And calculating heart analysis parameters corresponding to the cardiac cycle according to the multi-frame heart ultrasonic images corresponding to the cardiac cycle.
7. The method of processing cardiac ultrasound data according to claim 6, wherein the cardiac analysis parameters include left ventricular ejection fraction; calculating heart analysis parameters corresponding to the cardiac cycle according to multi-frame heart ultrasonic images corresponding to the cardiac cycle, wherein the heart analysis parameters comprise:
acquiring the left ventricular cavity volume represented by the heart ultrasonic image corresponding to the end diastole time in the cardiac cycle and the left ventricular cavity volume represented by the heart ultrasonic image corresponding to the end systole time in the cardiac cycle;
calculating a difference between the left ventricular chamber volume corresponding to the end diastole time and the left ventricular chamber volume corresponding to the end systole time;
and obtaining the left ventricular ejection fraction corresponding to the cardiac cycle according to the ratio of the difference value to the left ventricular cavity volume corresponding to the end diastole.
8. A processing device for cardiac ultrasound data, comprising:
the data acquisition module is used for acquiring heart ultrasonic data to be processed, wherein the heart ultrasonic data comprises a plurality of frames of heart ultrasonic images which are arranged according to time sequence;
The volume calculation module is used for calculating the volume of the left ventricle cavity corresponding to each frame of heart ultrasonic image in the heart ultrasonic data;
the curve generation module is used for generating a left ventricular cavity volume change curve according to the left ventricular cavity volume corresponding to each frame of heart ultrasonic image;
the parameter calculation module is used for determining a plurality of cardiac cycles contained in the cardiac ultrasonic data according to the left ventricular chamber volume change curve and calculating heart analysis parameters corresponding to each cardiac cycle;
and the data display module is used for simultaneously displaying the left ventricular cavity volume change curve and heart analysis parameters corresponding to each cardiac cycle.
9. A computer-readable medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of processing cardiac ultrasound data according to any one of claims 1 to 7.
10. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein execution of the executable instructions by the processor causes the electronic device to perform the method of processing cardiac ultrasound data according to any one of claims 1 to 7.
CN202310351482.4A 2023-04-04 2023-04-04 Processing method and device of heart ultrasonic data, storage medium and electronic equipment Pending CN116109626A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007068726A (en) * 2005-09-06 2007-03-22 Toshiba Corp Heart function diagnostic system
WO2017206023A1 (en) * 2016-05-30 2017-12-07 深圳迈瑞生物医疗电子股份有限公司 Cardiac volume identification analysis system and method
CN110742653A (en) * 2019-10-31 2020-02-04 无锡祥生医疗科技股份有限公司 Cardiac cycle determination method and ultrasonic equipment

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007068726A (en) * 2005-09-06 2007-03-22 Toshiba Corp Heart function diagnostic system
WO2017206023A1 (en) * 2016-05-30 2017-12-07 深圳迈瑞生物医疗电子股份有限公司 Cardiac volume identification analysis system and method
CN110742653A (en) * 2019-10-31 2020-02-04 无锡祥生医疗科技股份有限公司 Cardiac cycle determination method and ultrasonic equipment

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘学兵;尹立雪;邓燕;张清凤;陆景: "实时三维超声早期检测阿霉素致兔心力衰竭", 中国医学影像技术, no. 12 *

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