Medical image processing method and device and ultrasonic equipment

Abstract

The invention relates to a medical image processing method and device and ultrasonic equipment. The method comprises the following steps: acquiring a preset imaging sequence comprising at least two imaging modes; the preset imaging sequence represents an imaging sequence between the at least two imaging modes; based on the preset imaging sequence, performing ultrasonic imaging on a target object, and determining a cardiac apex four-cavity tangent plane meeting a first preset condition in each imaging mode; determining cardiac function parameters of the target object according to the cardiac apex four-cavity cardiac tangent surfaces; and obtaining a cardiac function evaluation result of the target object according to the cardiac function parameters. By adopting the method, the time consumption of ultrasonic imaging and cardiac function evaluation can be reduced.

Description

Technical Field

[0001] The present application relates to the field of artificial intelligence technology, and in particular to a medical image processing method, device and ultrasound equipment. Background Art

[0002] Echocardiography can utilize the physical properties of ultrasonic short waves to perform non-invasive examinations of the anatomical structure and functional status of the heart and great blood vessels, and therefore has become an important method for evaluating cardiac function.

[0003] In traditional echocardiography, doctors usually need to manually switch between various ultrasound modes for certain specific sections of the heart, measure the images collected under each ultrasound mode, obtain corresponding examination results, and evaluate heart function by analyzing the examination results. This method is time-consuming and also relies on the experience of the operating doctor, and has low repeatability. Summary of the invention

[0004] Based on this, it is necessary to provide a medical image processing method, apparatus, ultrasound equipment, computer-readable storage medium and computer program product that can reduce time consumption in order to solve the above technical problems.

[0005] In a first aspect, the present application provides a medical image processing method, comprising:

[0006] Acquire a preset imaging sequence comprising at least two imaging modes; the preset imaging sequence represents an imaging order between the at least two imaging modes;

[0007] Based on the preset imaging sequence, performing ultrasound imaging on the target object, and determining an apical four-chamber heart view that meets the first preset condition in each of the imaging modes;

[0008] determining cardiac function parameters of the target subject according to each of the apical four-chamber heart views;

[0009] A cardiac function assessment result of the target object is obtained according to the cardiac function parameter.

[0010] In one embodiment, the imaging modes include B mode, C mode, CW mode, PW mode and TVD mode, the preset imaging sequence includes preset switching conditions between the imaging modes, and the preset switching conditions include the first preset condition and the second preset condition; performing ultrasonic imaging on the target object based on the preset imaging sequence, and determining the apical four-chamber view that meets the first preset condition in each imaging mode includes:

[0011] Determining, in the B-mode, a B-mode apical four-chamber view that meets the first preset condition;

[0012] switching from the B mode to the C mode according to the imaging sequence, and determining in the C mode an apical four-chamber view of the C mode that meets the first preset condition;

[0013] Identifying the C-mode apical four-chamber heart view;

[0014] If it is identified that the C-mode apical four-chamber view meets the second preset condition, switching from the C-mode to the PW mode according to the imaging sequence, and determining the PW-mode apical four-chamber view that meets the first preset condition in the PW mode;

[0015] If it is identified that the C-mode apical four-chamber view does not meet the second preset condition, switching from the C-mode to the CW mode according to the imaging sequence, determining a CW-mode apical four-chamber view that meets the first preset condition in the CW mode, switching from the CW mode to the PW mode according to the imaging sequence, and determining a PW-mode apical four-chamber view that meets the first preset condition in the PW mode;

[0016] The PW mode is switched to the TVD mode according to the imaging sequence, and a TVD mode apical four-chamber view that meets the first preset condition is determined in the TVD mode.

[0017] In one embodiment, the second preset condition includes normal blood flow morphology; and determining the cardiac function parameters of the target object according to each of the apical four-chamber heart views includes:

[0018] If the blood flow morphology in the C-mode apical four-chamber view is normal, the first cardiac function parameter of the target object is determined according to the B-mode apical four-chamber view, the third cardiac function parameter of the target object is determined according to the PW-mode apical four-chamber view, and the fourth cardiac function parameter of the target object is determined according to the TVD-mode apical four-chamber view.

[0019] In one embodiment, obtaining the cardiac function assessment result of the target object according to the cardiac function parameter includes:

[0020] determining a cardiac contraction condition of the target subject according to the first cardiac function parameter;

[0021] determining a cardiac diastolic condition of the target subject according to the third cardiac function parameter and the fourth cardiac function parameter;

[0022] The cardiac contraction condition and the cardiac diastole condition are integrated to obtain the cardiac function assessment result of the target object.

[0023] In one embodiment, the second preset condition includes normal blood flow morphology; and determining the cardiac function parameters of the target object according to each of the apical four-chamber heart views includes:

[0024] If the blood flow morphology in the C-mode apical four-chamber view is abnormal, the first cardiac function parameter of the target object is determined according to the B-mode apical four-chamber view, the second cardiac function parameter of the target object is determined according to the CW-mode apical four-chamber view, the third cardiac function parameter of the target object is determined according to the PW-mode apical four-chamber view, and the fourth cardiac function parameter of the target object is determined according to the TVD-mode apical four-chamber view.

[0025] In one embodiment, obtaining the cardiac function assessment result of the target object according to the cardiac function parameter includes:

[0026] determining a cardiac contraction condition of the target subject according to the first cardiac function parameter;

[0027] determining a cardiac diastolic condition of the target subject according to the second cardiac function parameter, the third cardiac function parameter, and the fourth cardiac function parameter;

[0028] The cardiac contraction condition and the cardiac diastole condition are integrated to obtain the cardiac function assessment result of the target object.

[0029] In one embodiment, determining the fourth cardiac function parameter of the target object according to the apical four-chamber view of the TVD mode includes:

[0030] Determining a target sampling point in the apical four-chamber view of the TVD mode based on a pre-trained deep learning model;

[0031] The fourth cardiac function parameter of the target object is determined according to the target sampling point.

[0032] In one embodiment, determining the first cardiac function parameter of the target object according to the B-mode apical four-chamber heart view includes:

[0033] determining a cardiac cycle phase of the target subject;

[0034] The B-mode apical four-chamber heart view is identified according to the cardiac cycle phase to obtain the first cardiac function parameter.

[0035] In a second aspect, the present application also provides a medical image processing device, comprising:

[0036] An acquisition module, used to acquire a preset imaging sequence including at least two imaging modes; the preset imaging sequence represents an imaging order between the at least two imaging modes;

[0037] An imaging module, configured to perform ultrasonic imaging of the target object based on the preset imaging sequence, and determine an apical four-chamber heart view that meets the first preset condition in each of the imaging modes;

[0038] a determination module, configured to determine the cardiac function parameters of the target object according to each of the apical four-chamber heart views;

[0039] An evaluation module is used to obtain a cardiac function evaluation result of the target object according to the cardiac function parameter.

[0040] In a third aspect, the present application further provides an ultrasound device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0041] Acquire a preset imaging sequence comprising at least two imaging modes; the preset imaging sequence represents an imaging order between the at least two imaging modes;

[0042] Based on the preset imaging sequence, performing ultrasound imaging on the target object, and determining an apical four-chamber heart view that meets the first preset condition in each of the imaging modes;

[0043] determining cardiac function parameters of the target subject according to each of the apical four-chamber heart views;

[0044] A cardiac function assessment result of the target object is obtained according to the cardiac function parameter.

[0045] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0046] Acquire a preset imaging sequence comprising at least two imaging modes; the preset imaging sequence represents an imaging order between the at least two imaging modes;

[0047] Based on the preset imaging sequence, performing ultrasound imaging on the target object, and determining an apical four-chamber heart view that meets the first preset condition in each of the imaging modes;

[0048] determining cardiac function parameters of the target subject according to each of the apical four-chamber heart views;

[0049] A cardiac function assessment result of the target object is obtained according to the cardiac function parameter.

[0050] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0051] Acquire a preset imaging sequence comprising at least two imaging modes; the preset imaging sequence represents an imaging order between the at least two imaging modes;

[0052] Based on the preset imaging sequence, performing ultrasound imaging on the target object, and determining an apical four-chamber heart view that meets the first preset condition in each of the imaging modes;

[0053] determining cardiac function parameters of the target subject according to each of the apical four-chamber heart views;

[0054] A cardiac function assessment result of the target object is obtained according to the cardiac function parameter.

[0055] The above-mentioned medical image processing method, device, ultrasound equipment, computer-readable storage medium and computer program product obtain a preset imaging sequence including at least two imaging modes, the preset imaging sequence represents the imaging order between at least two imaging modes, and based on the preset imaging sequence, ultrasonic imaging is performed on the target object, and the apical four-chamber heart view that meets the first preset condition is determined in each imaging mode, and the cardiac function parameters of the target object are determined according to each apical four-chamber heart view, and the cardiac function evaluation result of the target object is obtained according to the cardiac function parameters; it can automatically switch to various imaging modes in sequence according to the preset imaging sequence, and automatically perform ultrasonic imaging in each imaging mode, and automatically generate cardiac function parameters when finding the apical four-chamber heart view that meets the requirements, and finally perform cardiac function evaluation according to the cardiac function parameters obtained in various imaging modes. Since the whole process is automatically executed, there is no need to manually switch imaging modes and manually measure cardiac function parameters, which reduces the time consumption of ultrasonic imaging and cardiac function evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0057] FIG1 is a diagram of an application environment of a medical image processing method in one embodiment;

[0058] FIG2 is a schematic diagram of a flow chart of a medical image processing method in one embodiment;

[0059] FIG3 is a schematic diagram of a process flow of an automatic evaluation process of central nervous system function according to an embodiment;

[0060] FIG4 is a schematic diagram of a flow chart of an image quality evaluation process in one embodiment;

[0061] FIG5 is a schematic diagram of imaging mode switching in one embodiment;

[0062] FIG6 (a) is a schematic diagram of a B-mode apical four-chamber view in one embodiment;

[0063] FIG6( b ) is a schematic diagram of a C-mode apical four-chamber heart view in one embodiment;

[0064] FIG6( c ) is a schematic diagram of an apical four-chamber view in PW mode in one embodiment;

[0065] FIG6( d ) is a schematic diagram of an apical four-chamber view in TVD mode in one embodiment;

[0066] FIG7 is a schematic flow chart of a medical image processing method in another embodiment;

[0067] FIG8 is a block diagram of a medical image processing device according to an embodiment;

[0068] FIG. 9 is a diagram showing the internal structure of an ultrasonic device in one embodiment. DETAILED DESCRIPTION

[0069] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0070] The medical image processing method provided in the embodiment of the present application can be applied in the application environment shown in FIG. 1. The ultrasound device 102 can communicate with the ultrasound probe 104, and the ultrasound probe 104 can be manually held or clamped by a mechanical arm. When clamped by a mechanical arm, the ultrasound device 102 can also communicate with the mechanical arm to control the mechanical arm to clamp the ultrasound probe 104 to a specified position, at which time the ultrasound probe 104 can scan the target object and transmit the scanned ultrasound data to the ultrasound device 102. The ultrasound device 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, etc. The head-mounted device can be a virtual reality (VR) device, an augmented reality (AR) device, smart glasses, etc. The ultrasound device 102 may also be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0071] In an exemplary embodiment, as shown in FIG2 , a medical image processing method is provided. This embodiment is illustrated by applying the method to the ultrasound device 102 in FIG1 , and includes the following steps:

[0072] Step S202, obtaining a preset imaging sequence including at least two imaging modes; the preset imaging sequence represents the imaging order between the at least two imaging modes.

[0073] The imaging mode may be an ultrasound imaging mode, including but not limited to B mode (brightness mode), C mode (color mode), CW mode (continuous wave Doppler mode), PW mode (pulsed wave Doppler mode) and TVD mode (tissue Doppler mode). The preset imaging sequence may be a sequence composed of multiple imaging modes arranged in a certain order. The imaging sequence may be a sequence for switching between multiple imaging modes.

[0074] In a specific implementation, the ultrasound device may acquire a preset imaging sequence, which is composed of two or more imaging modes arranged in a specified order, and represents an imaging sequence between the two or more imaging modes.

[0075] In actual applications, a preset imaging sequence can be input into the ultrasound device, for example, B mode, C mode, CW mode, PW mode, and TVD mode. The triggering conditions for switching between the modes in the preset imaging sequence can be determined according to preset rules. If the image recognized in the current mode meets the preset conditions, it will trigger switching to the next mode. For example, if the apical four-chamber heart standard view is recognized in the B mode, it will trigger switching to the C mode; in the C mode, if the apical four-chamber heart standard view is recognized and the blood flow is reversed, it will trigger switching to the CW mode; if the apical four-chamber heart standard view is recognized in the CW mode, it will trigger switching to the PW mode; otherwise, if the apical four-chamber heart standard view is recognized and the blood flow is not reversed, it will trigger switching to the PW mode; if the apical four-chamber heart standard view is recognized in the PW mode, it will trigger switching to the TVD mode.

[0076] Step S204: performing ultrasonic imaging on the target object based on a preset imaging sequence, and determining an apical four-chamber view that meets the first preset condition in each imaging mode.

[0077] The target object may be an object for cardiac function assessment, for example, a human heart or an animal heart. The apical four-chamber view may be a plane that crosses the left and right atria and ventricles from the apex of the left chest wall to the heart base. The first preset condition may be that the scanned apical four-chamber view matches the standard structure of the apical four-chamber view, for example, the scanned apical four-chamber view is consistent with the standard structure.

[0078] In a specific implementation, the ultrasound device can automatically switch between two or more imaging modes according to a preset imaging sequence, and automatically perform ultrasound imaging on the target object in each imaging mode to determine the apical four-chamber heart view that matches the standard structure.

[0079] In actual applications, the ultrasound device can be triggered to automatically enter the B mode. In the B mode, the ultrasound probe is controlled to scan the target object and identify the scanned image. When the apical four-chamber view consistent with the standard structure is identified, it is automatically switched to the C mode. Since the target object may move during the switching process, causing the apical four-chamber view to change, in order to improve the accuracy of the assessment, it can be determined whether the apical four-chamber view scanned in the C mode is consistent with the standard structure. If it is consistent, the subsequent switching process can be continued. Otherwise, if it is inconsistent, the ultrasound probe can be adjusted again until the apical four-chamber view scanned by the ultrasound probe is consistent with the standard structure. Then, the subsequent imaging mode is determined according to the ultrasound imaging results in the C mode. For example, if the blood flow is reversed, it is automatically switched to the CW mode, and then switched to the PW mode and the TVD mode in sequence. Otherwise, if it is identified that the blood flow is not reversed, it is automatically switched to the PW mode, and then switched to the TVD mode. Among them, after each switch, when the apical four-chamber heart view is inconsistent with the standard structure, the ultrasound probe can be adjusted to make the apical four-chamber heart view scanned by the ultrasound probe consistent with the standard structure, and after the apical four-chamber heart view consistent with the standard structure is identified in each mode, the ultrasound probe can be kept still.

[0080] Step S206, determining the cardiac function parameters of the target object according to each apical four-chamber heart view.

[0081] Among them, cardiac function parameters include but are not limited to LVEF (Left Ventricular Ejection Fraction), LAEF (Left Atrium Ejection Fraction), LV-GLS (Left Ventricular-Global Longitudinal Strain), RV-GLS (Right Ventricular-Global Longitudinal Strain), LAV (Left Atrium Volume), TAPSE (Ttricuspid Annular Peak Systolic Excursion), TR (Tricuspid Regurgitation), E (early diastolic blood flow spectrum), A (late diastolic left atrial contraction blood flow spectrum), E / A (ratio of E peak to A peak), e' / a' (ratio of the filling peak of left ventricular early diastolic rapid filling to the filling peak of left ventricular late diastolic filling), etc.

[0082] In a specific implementation, the ultrasound device can determine the cardiac function parameters for the apical four-chamber heart view obtained in each imaging mode and matching the standard structure, and obtain two or more sets of cardiac function parameters of the target object. Specifically, the ultrasound device can determine the cardiac function parameters according to the type or name of the obtained apical four-chamber heart view. For example, the cardiac function parameters can be determined according to the name of the apical four-chamber heart view using the apical four-chamber heart view of the B, PW, and TVD modes, or according to the apical four-chamber heart view of the B, CW, PW, and TVD modes; the obtained apical four-chamber heart view can also be input into a pre-trained recognition model to automatically determine the corresponding cardiac function parameters through the recognition model; the ultrasound device can also determine the apical four-chamber heart view according to the cardiac function parameter indicators to be tested in the inspection report template of the target object, and then determine the cardiac function parameters according to the determined apical four-chamber heart view.

[0083] In practical applications, ultrasound equipment can determine the LVEF and LV-GLS reflecting the left ventricular systolic function, the LAEF and LAV reflecting the left atrial systolic function, and the TAPSE and RV-GLS reflecting the right ventricular systolic function based on the apical four-chamber heart view obtained in B mode that is consistent with the standard structure, and use LVEF, LV-GLS, LAEF, TAPSE and RV-GLS as a group of cardiac function parameters; in C mode, if reverse blood flow is identified and it is determined that it is necessary to switch to CW mode, the apical four-chamber heart view obtained in CW mode that is consistent with the standard structure can be used to determine the LVEF and LV-GLS reflecting the left ventricular systolic function, and the LAEF and LAV reflecting the left atrial systolic function can be used to determine the TAPSE and RV-GLS reflecting the right ventricular systolic function. The ultrasound equipment can also determine E, A and E / A reflecting the left ventricular diastolic function based on the apical four-chamber view consistent with the standard structure obtained in the PW mode, and use E, A and E / A as a group of cardiac function parameters; in addition, the ultrasound equipment can also determine e' / a' reflecting the left ventricular diastolic function based on the apical four-chamber view consistent with the standard structure obtained in the TVD mode, and use e' / a' as a group of cardiac function parameters.

[0084] Step S208: obtaining the cardiac function evaluation result of the target object according to the cardiac function parameter.

[0085] The cardiac function assessment result may be a result of whether the cardiac function is normal.

[0086] In a specific implementation, the ultrasound device can perform a comprehensive assessment of the cardiac function of the target object based on the obtained two or more sets of cardiac function parameters to obtain the cardiac function assessment result of the target object.

[0087] In actual applications, if all the cardiac function parameters LVEF, LV-GLS, LAEF, LAV, TAPSE, RV-GLS, (TR), E, ​​A, E / A, and e' / a' are normal, it can be determined that the target object has normal cardiac function. Otherwise, if there are abnormal cardiac function parameters among LVEF, LV-GLS, LAEF, LAV, TAPSE, RV-GLS, (TR), E, ​​A, E / A, and e' / a', it can be determined that the target object has abnormal cardiac function.

[0088] The above-mentioned medical image processing method obtains a preset imaging sequence including at least two imaging modes, the preset imaging sequence represents the imaging order between at least two imaging modes, performs ultrasonic imaging on the target object based on the preset imaging sequence, determines the apical four-chamber heart view that meets the first preset condition in each imaging mode, determines the cardiac function parameters of the target object according to each apical four-chamber heart view, and obtains the cardiac function evaluation result of the target object according to the cardiac function parameters; it can automatically switch to various imaging modes in sequence according to the preset imaging sequence, and automatically perform ultrasonic imaging in each imaging mode, and automatically generate cardiac function parameters when finding the apical four-chamber heart view that meets the requirements, and finally perform cardiac function evaluation according to the cardiac function parameters obtained in various imaging modes. Since the whole process is automatically executed, there is no need to manually switch the imaging mode and manually measure the cardiac function parameters, which reduces the time consumption of ultrasonic imaging and cardiac function evaluation.

[0089] In an exemplary embodiment, the imaging modes include B mode, C mode, CW mode, PW mode and TVD mode, the preset imaging sequence includes preset switching conditions between the imaging modes, and the preset switching conditions include a first preset condition and a second preset condition; the above step S204 may specifically include: determining a B-mode apical four-chamber heart view that meets the first preset condition in the B mode; switching from the B mode to the C mode according to the imaging sequence, and determining a C-mode apical four-chamber heart view that meets the first preset condition in the C mode; identifying the C-mode apical four-chamber heart view; if it is identified that the C-mode apical four-chamber heart view meets the second preset condition, according to The imaging sequence is switched from C mode to PW mode, and the PW mode apical four-chamber view that meets the first preset condition is determined in the PW mode; if it is identified that the C mode apical four-chamber view does not meet the second preset condition, the imaging sequence is switched from C mode to CW mode, and the CW mode apical four-chamber view that meets the first preset condition is determined in the CW mode; the imaging sequence is switched from CW mode to PW mode, and the PW mode apical four-chamber view that meets the first preset condition is determined in the PW mode; the imaging sequence is switched from PW mode to TVD mode, and the TVD mode apical four-chamber view that meets the first preset condition is determined in the TVD mode.

[0090] Among them, the B-mode apical four-chamber heart view may be an apical four-chamber heart view consistent with the standard structure in the B-mode. The C-mode apical four-chamber heart view may be an apical four-chamber heart view consistent with the standard structure in the C-mode. The CW-mode apical four-chamber heart view may be an apical four-chamber heart view consistent with the standard structure in the CW mode. The PW-mode apical four-chamber heart view may be an apical four-chamber heart view consistent with the standard structure in the PW mode. The TVD-mode apical four-chamber heart view may be an apical four-chamber heart view consistent with the standard structure in the TVD mode. The preset switching condition may be a pre-set condition for switching between different modes. The second preset condition may be that the blood flow morphology is normal.

[0091] In a specific implementation, the ultrasound device can be triggered to automatically enter B mode, and in B mode, the apical four-chamber heart view consistent with the standard structure is identified to obtain the B-mode apical four-chamber heart view. At this time, the B mode is triggered to switch to C mode, and in C mode, the apical four-chamber heart view consistent with the standard structure is identified to obtain the C-mode apical four-chamber heart view.

[0092] Afterwards, the ultrasound device can identify the blood flow morphology in the C-mode apical four-chamber heart view. If the blood flow morphology is identified to be normal, it can trigger the switch from C-mode to PW mode, and identify the apical four-chamber heart view consistent with the standard structure in PW mode to obtain the PW mode apical four-chamber heart view; otherwise, if the blood flow morphology is identified to be abnormal, for example, the reflux blood flow morphology, it can trigger the switch from C-mode to CW mode, and identify the apical four-chamber heart view consistent with the standard structure in CW mode to obtain the CW mode apical four-chamber heart view. At this time, it is triggered to switch from CW mode to PW mode, and identify the apical four-chamber heart view consistent with the standard structure in PW mode to obtain the PW mode apical four-chamber heart view.

[0093] When the PW mode apical four-chamber view is obtained, the switching from the PW mode to the TVD mode can be triggered, and the apical four-chamber view consistent with the standard structure is identified in the TVD mode to obtain the TVD mode apical four-chamber view.

[0094] It can be understood that, normally, if the first preset condition is met, the mode is switched to the next mode, wherein the first preset condition can be that the images obtained in all modes need to be compared with the standard apical four-chamber heart view. For example, in B mode, if the apical four-chamber heart view with a standard structure is scanned, the mode is switched to C mode; in PW mode, if the apical four-chamber heart view with a standard structure is scanned, the mode is switched to TVD mode; however, in C mode, it is also necessary to switch according to the second preset condition. For example, in C mode, if blood flow reversal is detected, the mode is switched to CW mode; if blood flow reversal is detected, the mode is switched to PW mode.

[0095] In this embodiment, a B-mode apical four-chamber heart view that meets the first preset condition is determined in the B mode; the B mode is switched to the C mode according to the imaging sequence, and the C-mode apical four-chamber heart view that meets the first preset condition is determined in the C mode; the C-mode apical four-chamber heart view is identified; if it is identified that the C-mode apical four-chamber heart view meets the second preset condition, the C mode is switched to the PW mode according to the imaging sequence, and the PW mode apical four-chamber heart view that meets the first preset condition is determined in the PW mode; if it is identified that the C-mode apical four-chamber heart view does not meet the second preset condition, the C mode is switched to the PW mode according to the imaging sequence, and the PW mode apical four-chamber heart view that meets the first preset condition is determined in the PW mode; The second preset condition is to switch from C mode to CW mode according to the imaging sequence, and determine the CW mode apical four-chamber view that meets the first preset condition in CW mode; to switch from CW mode to PW mode according to the imaging sequence, and determine the PW mode apical four-chamber view that meets the first preset condition in PW mode; to switch from PW mode to TVD mode according to the imaging sequence, and determine the TVD mode apical four-chamber view that meets the first preset condition in TVD mode. This can realize automatic switching between multiple ultrasound imaging modes and reduce the time consumption of ultrasound imaging.

[0096] In an exemplary embodiment, the second preset condition includes normal blood flow morphology; the above-mentioned step S206 may specifically include: if the blood flow morphology in the C-mode apical four-chamber view is normal, determining the first cardiac function parameter of the target object according to the B-mode apical four-chamber view, determining the third cardiac function parameter of the target object according to the PW-mode apical four-chamber view, and determining the fourth cardiac function parameter of the target object according to the TVD-mode apical four-chamber view.

[0097] The normal blood flow pattern may mean that there is no reverse flow in the blood flow direction. The first cardiac function parameter may be a parameter reflecting the cardiac contractile function. The third cardiac function parameter and the fourth cardiac function parameter may be parameters reflecting the cardiac diastolic function.

[0098] In a specific implementation, if there is no backflow in the blood flow direction in the C-mode apical four-chamber view, the ultrasound device can switch directly from C-mode to PW mode after switching from B-mode to C-mode, and then switch from PW mode to TVD mode, and automatically measure the B-mode apical four-chamber view in B mode to obtain the first cardiac function parameters LVEF, LV-GLS, LAEF, LAV, TAPSE and RV-GLS, automatically measure the PW mode apical four-chamber view in PW mode to obtain the third cardiac function parameters E, A and E / A, and automatically measure the TVD mode apical four-chamber view in TVD mode to obtain the fourth cardiac function parameter e' / a'.

[0099] In this embodiment, if the blood flow morphology in the C-mode apical four-chamber view is normal, the first cardiac function parameter of the target object is determined according to the B-mode apical four-chamber view, the third cardiac function parameter of the target object is determined according to the PW-mode apical four-chamber view, and the fourth cardiac function parameter of the target object is determined according to the TVD-mode apical four-chamber view. After the apical four-chamber view is identified, the cardiac function parameters of the target object can be automatically measured, thereby improving the efficiency of cardiac function evaluation.

[0100] In an exemplary embodiment, the above-mentioned step S208 may specifically include: determining the cardiac contraction condition of the target object based on the first cardiac function parameter; determining the cardiac diastole condition of the target object based on the third cardiac function parameter and the fourth cardiac function parameter; and integrating the cardiac contraction condition with the cardiac diastole condition to obtain the cardiac function assessment result of the target object.

[0101] The cardiac contraction condition may be whether the cardiac contraction function is normal. The cardiac diastolic condition may be whether the cardiac diastolic function is normal.

[0102] In a specific implementation, the ultrasound equipment can determine whether the target object's cardiac contraction function is normal based on the first cardiac function parameters LVEF, LV-GLS, LAEF, LAV, TAPSE and RV-GLS, determine whether the target object's cardiac diastolic function is normal based on the third cardiac function parameters E, A, E / A and the fourth cardiac function parameter e' / a', and make a comprehensive judgment based on whether the cardiac contraction function and the cardiac diastolic function are normal to obtain a function evaluation result. Specifically, if both the cardiac contraction function and the cardiac diastolic function are normal, the target object's cardiac function evaluation result is determined to be normal; otherwise, if the cardiac contraction function or the cardiac diastolic function is abnormal, the target object's cardiac function evaluation result is determined to be abnormal.

[0103] In actual applications, when switching according to the preset imaging sequences: B mode, C mode, PW mode, and TVD mode, when the measured LVEF, LV-GLS, LAEF, LAV, TAPSE, RV-GLS, E, A, E / A, and e' / a' are all normal, the target object's cardiac function is judged to be normal; if the measured LVEF, LV-GLS, LAEF, LAV, TAPSE, RV-GLS, E, A, E / A, and e' / a' are abnormal, the target object's cardiac function is judged to be abnormal.

[0104] In this embodiment, the cardiac contraction condition of the target object is determined based on the first cardiac function parameter; the cardiac diastole condition of the target object is determined based on the third cardiac function parameter and the fourth cardiac function parameter; the cardiac contraction condition and the cardiac diastole condition are integrated to obtain the cardiac function evaluation result of the target object. The cardiac function parameters under multiple imaging modes can be combined to comprehensively evaluate the cardiac function of the target object, thereby improving the accuracy of the cardiac function evaluation result.

[0105] In an exemplary embodiment, the second preset condition includes normal blood flow morphology; the above-mentioned step S206 may specifically include: if the blood flow morphology in the C-mode apical four-chamber view is abnormal, determining the first cardiac function parameter of the target object according to the B-mode apical four-chamber view, determining the second cardiac function parameter of the target object according to the CW-mode apical four-chamber view, determining the third cardiac function parameter of the target object according to the PW-mode apical four-chamber view, and determining the fourth cardiac function parameter of the target object according to the TVD-mode apical four-chamber view.

[0106] The abnormal blood flow morphology may be reverse flow in the blood flow direction. The second cardiac function parameter may also be a parameter reflecting cardiac diastolic function.

[0107] In a specific implementation, if blood flow reversal occurs in the C-mode apical four-chamber view, the ultrasound device can, after switching from B-mode to C-mode, first switch from C-mode to CW mode, then switch from CW mode to PW mode, and finally switch from PW mode to TVD mode, and automatically measure the B-mode apical four-chamber view in B mode to obtain the first cardiac function parameters LVEF, LV-GLS, LAEF, LAV, TAPSE and RV-GLS, automatically measure the CW mode apical four-chamber view in CW mode to obtain the second cardiac function parameter TR, automatically measure the PW mode apical four-chamber view in PW mode to obtain the third cardiac function parameters E, A and E / A, and automatically measure the TVD mode apical four-chamber view in TVD mode to obtain the fourth cardiac function parameter e' / a'.

[0108] In the present embodiment, if the blood flow morphology in the C-mode apical four-chamber view is abnormal, the first cardiac function parameter of the target object is determined according to the B-mode apical four-chamber view, the second cardiac function parameter of the target object is determined according to the CW-mode apical four-chamber view, the third cardiac function parameter of the target object is determined according to the PW-mode apical four-chamber view, and the fourth cardiac function parameter of the target object is determined according to the TVD-mode apical four-chamber view. After the apical four-chamber view is identified, the cardiac function parameters of the target object can be automatically measured, thereby improving the efficiency of cardiac function evaluation.

[0109] In an exemplary embodiment, the above-mentioned step S208 may specifically include: determining the cardiac contraction condition of the target object based on the first cardiac function parameter; determining the cardiac diastole condition of the target object based on the second cardiac function parameter, the third cardiac function parameter and the fourth cardiac function parameter; and integrating the cardiac contraction condition with the cardiac diastole condition to obtain the cardiac function assessment result of the target object.

[0110] In a specific implementation, the ultrasound equipment can determine whether the target object's cardiac contraction function is normal based on the first cardiac function parameters LVEF, LV-GLS, LAEF, LAV, TAPSE and RV-GLS, determine whether the target object's cardiac diastolic function is normal based on the second cardiac function parameter TR, the third cardiac function parameter E, A, E / A and the fourth cardiac function parameter e' / a', and make a comprehensive judgment based on whether the cardiac contraction function and the cardiac diastolic function are normal to obtain a function evaluation result. Specifically, if both the cardiac contraction function and the cardiac diastolic function are normal, the cardiac function evaluation result of the target object is determined to be normal; otherwise, if the cardiac contraction function or the cardiac diastolic function is abnormal, the cardiac function evaluation result of the target object is determined to be abnormal.

[0111] In actual applications, when switching according to the preset imaging sequences: B mode, C mode, CW mode, PW mode, and TVD mode, when the measured LVEF, LV-GLS, LAEF, LAV, TAPSE, RV-GLS, TR, E, A, E / A, and e' / a' are all normal, the target object's cardiac function is judged to be normal; if the measured LVEF, LV-GLS, LAEF, LAV, TAPSE, RV-GLS, TR, E, A, E / A, and e' / a' are abnormal, the target object's cardiac function is judged to be abnormal.

[0112] In this embodiment, the cardiac contraction condition of the target object is determined based on the first cardiac function parameter; the cardiac diastole condition of the target object is determined based on the second cardiac function parameter, the third cardiac function parameter and the fourth cardiac function parameter; the cardiac contraction condition and the cardiac diastole condition are integrated to obtain the cardiac function evaluation result of the target object. The cardiac function parameters under multiple imaging modes can be combined to comprehensively evaluate the cardiac function of the target object, thereby improving the accuracy of the cardiac function evaluation result.

[0113] In an exemplary embodiment, the above-mentioned step of determining the fourth cardiac function parameter of the target object according to the apical four-chamber view of the TVD mode may specifically include: determining the target sampling point in the apical four-chamber view of the TVD mode based on a pre-trained deep learning model; and determining the fourth cardiac function parameter of the target object according to the target sampling point.

[0114] The target sampling points may be the positions of three sampling gates, namely, the left ventricular lateral wall, the ventricular septum, and the right ventricular free wall in the apical four-chamber heart section in the TVD mode.

[0115] In the specific implementation, after switching to the TVD mode, the ultrasound equipment can automatically identify the target sampling points in the apical four-chamber heart section of the TVD mode, that is, the positions of the three sampling gates, through a deep learning model, and perform simultaneous measurements on the three sampling gates to obtain e' and a' corresponding to the left ventricular lateral wall, ventricular septum, and right ventricular free wall, respectively, and calculate the ratio of e' to a' to obtain the fourth cardiac function parameter e' / a' corresponding to the left ventricular lateral wall, the fourth cardiac function parameter e' / a' corresponding to the ventricular septum, and the fourth cardiac function parameter e' / a' corresponding to the right ventricular free wall.

[0116] In this embodiment, the target sampling point in the apical four-chamber heart view of the TVD mode is determined based on a pre-trained deep learning model, and the fourth cardiac function parameter of the target object is determined according to the target sampling point. The three sampling gates can be automatically determined, and then e' / a' can be quickly calculated, thereby improving the efficiency of cardiac function assessment.

[0117] In an exemplary embodiment, the above-mentioned step of determining the first cardiac function parameter of the target object based on the B-mode apical four-chamber heart view may specifically include: determining the cardiac cycle phase of the target object; identifying the B-mode apical four-chamber heart view based on the cardiac cycle phase to obtain the first cardiac function parameter.

[0118] The cardiac cycle phase may be the systolic-diastolic phase of the apical four-chamber heart section.

[0119] In a specific implementation, the ultrasound device can automatically identify the cardiac cycle phase of the target object. For example, the cardiac cycle phase can be obtained by identifying the electrocardiogram of the target object, or by identifying the opening and closing of the valve, or by identifying the maximum volume and minimum volume of the left ventricle. After identifying the cardiac cycle phase, the cardiac cycle phase can be used to identify the B-mode apical four-chamber heart view to obtain the first cardiac function parameter LVEF.

[0120] In this embodiment, by determining the cardiac cycle phase of the target object, the B-mode apical four-chamber heart view is identified according to the cardiac cycle phase to obtain the first cardiac function parameter. The cardiac function parameter can be accurately evaluated based on the cardiac cycle phase, thereby improving the accuracy and reliability of cardiac function evaluation.

[0121] In an exemplary embodiment, the above step S204 may specifically include: when the identified section structure matches the standard structure of the apical four-chamber heart view, determining that the apical four-chamber heart view meets the first preset condition.

[0122] The section structure may be the structure of the apical four-chamber heart section scanned in real time, and the standard structure may be the structure of the standard apical four-chamber heart section.

[0123] In a specific implementation, the ultrasound device can scan the apical four-chamber heart section in real time under various imaging modes. If the scanned section structure is consistent with the standard structure, for example, the number, structure name, shape, size, and brightness are all the same, then it is determined that the currently scanned apical four-chamber heart section meets the first preset condition. Otherwise, if the scanned section structure is inconsistent with the standard structure, for example, the number is different, the shape is different, or the brightness difference is not within the preset range, then it is determined that the currently scanned apical four-chamber heart section does not meet the first preset condition.

[0124] In this embodiment, by determining that the apical four-chamber view meets the first preset condition when the identified section structure matches the standard structure of the apical four-chamber view, the apical four-chamber view can be accurately identified, thereby improving the accuracy and reliability of cardiac function assessment.

[0125] In order to facilitate those skilled in the art to have a deeper understanding of the embodiments of the present application, a specific example will be described below.

[0126] The present application enables a user to complete the evaluation of cardiac function by holding an ordinary cardiac phased array probe and fixing it in a relative position for a few seconds.

[0127] Specifically, the cardiac function assessment method provided in the present application can be completed by identifying the apical four-chamber heart view, including identifying the local structure of the view, including the ventricular septum, mitral valve annulus, tricuspid valve annulus, right ventricular free wall, left ventricle, left atrium, etc.

[0128] The cardiac function assessment method provided in the present application can be completed by identifying the systolic and diastolic phases of the apical four-chamber heart section. The identification of the systolic and diastolic phases of the apical four-chamber heart section can be associated with an electrocardiogram, the opening and closing of the valve can be identified, and the maximum and minimum volumes of the left ventricle can also be identified.

[0129] This application can evaluate the image quality of the four-chamber heart view.

[0130] The present application can realize automatic switching among B mode, C mode, (CW mode), PW mode, and TVD mode, and can automatically adjust the positions of the sampling gate, sampling frame, etc. of the current mode.

[0131] The present application can identify normal or regurgitated blood flow patterns, can switch the CW mode according to the blood flow patterns, and can perform CW mode measurements.

[0132] This application can automatically analyze the measured values ​​in all modes and obtain the analysis results.

[0133] Figure 3 provides a flow chart of the automatic evaluation process of cardiac function. According to Figure 3, after starting the ultrasound device and activating the ultrasound probe, the ultrasound device can automatically obtain the apical four-chamber view and evaluate the image quality of the apical four-chamber view. If the evaluation fails, the apical four-chamber view is automatically obtained again until the evaluation passes, and then the apical four-chamber view is switched to B mode, C mode (CW mode), PW mode, TVD mode, etc. in sequence to measure and analyze the apical four-chamber view.

[0134] FIG4 provides a flowchart of an image quality evaluation process. According to FIG4, the image quality evaluation process in FIG3 can be that the ultrasound device automatically identifies the collected apical four-chamber heart view data, and compares the identified apical four-chamber heart view structure with the standard structure of the apical four-chamber heart view. If the identified apical four-chamber heart view structure is inconsistent with the standard structure, the evaluation fails. Otherwise, if the identified apical four-chamber heart view structure is consistent with the standard structure, the evaluation passes. For example, the standard structure of the apical four-chamber heart view includes the ventricular septum, mitral valve ring, tricuspid valve ring, right ventricular free wall, left ventricle, and left atrium. If the ventricular septum, mitral valve ring, tricuspid valve ring, right ventricular free wall, left ventricle, and left atrium are identified in the collected apical four-chamber heart view data, and the number, structure name, shape, size, and brightness are consistent with the standard structure, the evaluation is determined to be passed. Otherwise, the evaluation is determined to be failed.

[0135] FIG5 provides a schematic diagram of the imaging mode switching process. In the measurement and analysis stage of the apical four-chamber view, referring to FIG5, the apical four-chamber view can be segmented and recognized by machine learning, deep learning, etc.; the switching between the imaging modes can be realized by automatic jump, and the jump trigger point can be when the measurement project is completed or when the apical four-chamber view of the standard structure is recognized; in the TVD mode, the automatic sampling gate placement in three positions can be realized, which are placed on the left ventricular lateral wall, the ventricular septum, and the right ventricular free wall, respectively. After the sampling gate is placed, the measurement of parameters such as e' and a' can be automatically activated and e' / a' can be calculated. Among them, the placement of the automatic sampling gate or sampling point can be realized by machine learning, deep learning, etc.; the activation of the CW mode can be realized by deep learning of the reflux blood flow morphology.

[0136] Figures 6(a) to 6(d) provide schematic diagrams of the apical four-chamber views obtained under various imaging modes. Referring to Figures 5 and 6 (a) to 6 (d), after the ultrasound device is started and the ultrasound probe is activated, the ultrasound device can automatically enter the B mode, identify the apical four-chamber view of the standard structure in the B mode, and obtain the B-mode apical four-chamber view as shown in Figure 6 (a). Then, the B mode can be automatically switched to the C mode, and the apical four-chamber view of the standard structure in the C mode can be identified to obtain the C-mode apical four-chamber view as shown in Figure 6 (b). The blood flow morphology and direction in the C-mode apical four-chamber view are identified. If the reverse blood flow is identified, the C mode is automatically switched to the CW mode first, and then the CW mode is automatically switched to the PW mode, to obtain the CW mode apical four-chamber view and the PW mode apical four-chamber view respectively; otherwise, if the blood flow morphology is identified to be normal, the C mode is automatically switched to the PW mode directly to obtain the PW mode apical four-chamber view, and the PW mode apical four-chamber view can be shown in Figure 6 (c). Finally, the ultrasound device can automatically switch from the PW mode to the TVD mode, and identify the apical four-chamber view of the standard structure in the TVD mode, and obtain the TVD mode apical four-chamber view corresponding to the left ventricular lateral wall, the ventricular septum and the right ventricular free wall as shown in Figure 6 (d).

[0137] The ultrasound device can automatically output conclusions based on the parameters obtained during the switching process:

[0138] If the acquired parameters are normal, it indicates that the left heart function is normal and the right ventricular systolic function is normal;

[0139] If the acquired parameters are abnormal, the ultrasound device will give a prompt based on the abnormal conclusion, for example, decreased right ventricular systolic function, decreased left ventricular diastolic function, decreased left ventricular systolic function, etc.

[0140] Ultrasound equipment can also automatically grade the decline in left ventricular function: Grade I indicates a 50-60% decline in EF (Ejection Fraction), Grade II indicates a 40-50% decline in EF, Grade III indicates a 30-40% decline in EF, and Grade IV indicates a decline in EF <30%.

[0141] The cardiac function assessment method provided in this application can be applied to any form of ultrasound equipment, including but not limited to desktop computers, portable computers, handheld ultrasound, etc.

[0142] In one embodiment, as shown in FIG7 , a medical image processing method is provided, which is described by taking the method applied to an ultrasound device as an example, and includes the following steps:

[0143] Step S301, obtaining a preset imaging sequence including at least two imaging modes; the preset imaging sequence represents the imaging order between at least two imaging modes; the imaging modes include B mode, C mode, CW mode, PW mode and TVD mode, the preset imaging sequence includes preset switching conditions between the imaging modes, and the preset switching conditions include a first preset condition and a second preset condition;

[0144] Step S302, determining a B-mode apical four-chamber heart view that meets a first preset condition in the B-mode;

[0145] Step S303, switching from the B mode to the C mode according to the imaging sequence, and determining a C-mode apical four-chamber view that meets the first preset condition in the C mode;

[0146] Step S304, identifying the C-mode apical four-chamber heart view;

[0147] Step S305, if it is identified that the C-mode apical four-chamber view meets the second preset condition, switching from the C-mode to the PW mode according to the imaging sequence, and determining the PW-mode apical four-chamber view that meets the first preset condition in the PW mode;

[0148] Step S306, if it is identified that the C-mode apical four-chamber view does not meet the second preset condition, switch from the C-mode to the CW mode according to the imaging sequence, determine the CW-mode apical four-chamber view that meets the first preset condition in the CW mode, switch from the CW mode to the PW mode according to the imaging sequence, and determine the PW-mode apical four-chamber view that meets the first preset condition in the PW mode;

[0149] Step S307, switching from the PW mode to the TVD mode according to the imaging sequence, and determining a TVD mode apical four-chamber view that meets the first preset condition in the TVD mode;

[0150] Step S308, determining the cardiac function parameters of the target object according to each apical four-chamber heart view;

[0151] Step S309: obtaining the cardiac function evaluation result of the target object according to the cardiac function parameter.

[0152] In a specific implementation, after acquiring a preset imaging sequence, the ultrasound device can automatically enter the B mode according to the imaging order in the preset imaging sequence, determine the B mode apical four-chamber heart section with a standard structure in the B mode, and then automatically switch from the B mode to the C mode, determine the C mode apical four-chamber heart section with a standard structure in the C mode, and if the blood flow in the C mode apical four-chamber heart section is normal, it will automatically switch from the C mode to the PW mode, determine the PW mode apical four-chamber heart section in the PW mode, otherwise, if the C mode apical four-chamber heart section is normal, the ultrasound device can automatically enter the B mode according to the imaging order in the preset imaging sequence, and determine the B mode apical four-chamber heart section with a standard structure in the B mode, and then automatically switch from the B mode to the C mode, determine the PW mode apical four-chamber heart section in the PW mode, and then automatically switch from the C mode to the PW ... If the blood flow in the plane is reversed, the C mode is first switched to the CW mode, and the CW mode apical four-chamber view is determined in the CW mode. Then the CW mode is switched to the PW mode, and the PW mode apical four-chamber view is determined in the PW mode. Finally, the PW mode is automatically switched to the TVD mode, and the TVD mode apical four-chamber view is determined in the TVD mode. The cardiac function parameters are determined according to the apical four-chamber views obtained in each imaging mode. Comprehensive judgment and analysis are made based on the various cardiac function parameters to obtain the cardiac function evaluation results of the target object.

[0153] The above-mentioned medical image processing method can automatically switch to various imaging modes in sequence according to a preset imaging sequence, and automatically perform ultrasonic imaging in each imaging mode, and automatically generate cardiac function parameters when finding an apical four-chamber heart view that meets the requirements, and finally perform cardiac function assessment based on the cardiac function parameters obtained in various imaging modes. Since the entire process is automatically executed, there is no need to manually switch imaging modes and manually measure cardiac function parameters, which reduces the time consumption of ultrasonic imaging and cardiac function assessment.

[0154] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0155] Based on the same inventive concept, the embodiment of the present application also provides a medical image processing device for implementing the medical image processing method involved above. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above method, so the specific limitations in one or more medical image processing device embodiments provided below can refer to the limitations on the medical image processing method above, and will not be repeated here.

[0156] In an exemplary embodiment, as shown in FIG8 , a medical image processing apparatus is provided, comprising: an acquisition module 410, an imaging module 420, a determination module 430 and an evaluation module 440, wherein:

[0157] An acquisition module 410 is used to acquire a preset imaging sequence including at least two imaging modes; the preset imaging sequence represents an imaging order between the at least two imaging modes;

[0158] An imaging module 420 is configured to perform ultrasound imaging on the target object based on the preset imaging sequence, and determine an apical four-chamber heart view that meets the first preset condition in each of the imaging modes;

[0159] A determination module 430, configured to determine the cardiac function parameters of the target subject according to each of the apical four-chamber heart views;

[0160] The evaluation module 440 is used to obtain the cardiac function evaluation result of the target object according to the cardiac function parameter.

[0161] In an exemplary embodiment, the imaging module 420 is further used to determine the B-mode apical four-chamber heart view that meets the first preset condition in the B-mode; switch from the B-mode to the C-mode according to the imaging sequence, and determine the C-mode apical four-chamber heart view that meets the first preset condition in the C-mode; identify the C-mode apical four-chamber heart view; if it is identified that the C-mode apical four-chamber heart view meets the second preset condition, switch from the C-mode to the PW mode according to the imaging sequence, and determine the PW-mode apical four-chamber heart view that meets the first preset condition in the PW mode. heart view; if it is identified that the C-mode apical four-chamber heart view does not meet the second preset condition, switching from the C-mode to the CW mode according to the imaging sequence, determining the CW mode apical four-chamber heart view that meets the first preset condition in the CW mode, switching from the CW mode to the PW mode according to the imaging sequence, determining the PW mode apical four-chamber heart view that meets the first preset condition in the PW mode; switching from the PW mode to the TVD mode according to the imaging sequence, determining the TVD mode apical four-chamber heart view that meets the first preset condition in the TVD mode.

[0162] In an exemplary embodiment, the above-mentioned determination module 430 is also used to determine the first cardiac function parameter of the target object according to the B-mode apical four-chamber view if the blood flow morphology in the C-mode apical four-chamber view is normal, determine the third cardiac function parameter of the target object according to the PW-mode apical four-chamber view, and determine the fourth cardiac function parameter of the target object according to the TVD-mode apical four-chamber view.

[0163] In an exemplary embodiment, the above-mentioned evaluation module 440 is also used to determine the cardiac contraction condition of the target object based on the first cardiac function parameter; determine the cardiac diastole condition of the target object based on the third cardiac function parameter and the fourth cardiac function parameter; and merge the cardiac contraction condition with the cardiac diastole condition to obtain the cardiac function evaluation result of the target object.

[0164] In an exemplary embodiment, the above-mentioned determination module 430 is also used to determine the first cardiac function parameter of the target object according to the B-mode apical four-chamber view if the blood flow morphology in the C-mode apical four-chamber view is abnormal, determine the second cardiac function parameter of the target object according to the CW-mode apical four-chamber view, determine the third cardiac function parameter of the target object according to the PW-mode apical four-chamber view, and determine the fourth cardiac function parameter of the target object according to the TVD-mode apical four-chamber view.

[0165] In an exemplary embodiment, the above-mentioned evaluation module 440 is also used to determine the cardiac contraction condition of the target object based on the first cardiac function parameter; determine the cardiac diastole condition of the target object based on the second cardiac function parameter, the third cardiac function parameter and the fourth cardiac function parameter; and merge the cardiac contraction condition with the cardiac diastole condition to obtain the cardiac function evaluation result of the target object.

[0166] In an exemplary embodiment, the above-mentioned determination module 430 is also used to determine the target sampling point in the apical four-chamber heart view of the TVD mode based on a pre-trained deep learning model; and determine the fourth heart function parameter of the target object according to the target sampling point.

[0167] In an exemplary embodiment, the determination module 430 is further used to determine the cardiac cycle phase of the target object; based on the cardiac cycle phase, the B-mode apical four-chamber heart view is identified to obtain the first cardiac function parameter.

[0168] Each module in the above-mentioned medical image processing device can be implemented in whole or in part by software, hardware or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the ultrasound device in the form of hardware, or can be stored in the memory in the ultrasound device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0169] In an exemplary embodiment, an ultrasound device is provided, which can be a terminal, and its internal structure diagram can be shown in FIG9. The ultrasound device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. The processor of the ultrasound device is used to provide computing and control capabilities. The memory of the ultrasound device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the ultrasound device is used to exchange information between the processor and an external device. The communication interface of the ultrasound device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a medical image processing method is implemented. The display unit of the ultrasound device is used to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the ultrasound device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the shell of the ultrasound device, or an external keyboard, touchpad or mouse.

[0170] Those skilled in the art will understand that the structure shown in FIG. 9 is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the ultrasonic device to which the scheme of the present application is applied. The specific ultrasonic device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0171] In an exemplary embodiment, an ultrasound device is also provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0172] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0173] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0174] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0175] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0176] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0177] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A medical image processing method, characterized in that: The method comprises: Acquire a preset imaging sequence comprising at least two imaging modes; the preset imaging sequence represents an imaging order between the at least two imaging modes; Based on the preset imaging sequence, performing ultrasound imaging on the target object, and determining an apical four-chamber heart view that meets the first preset condition in each of the imaging modes; determining cardiac function parameters of the target subject according to each of the apical four-chamber heart views; A cardiac function assessment result of the target object is obtained according to the cardiac function parameter.

2. The method according to claim 1, characterized in that The imaging modes include B mode, C mode, CW mode, PW mode and TVD mode, the preset imaging sequence includes preset switching conditions between the imaging modes, and the preset switching conditions include the first preset condition and the second preset condition; performing ultrasonic imaging on the target object based on the preset imaging sequence, and determining the apical four-chamber heart view that meets the first preset condition in each imaging mode, includes: Determining, in the B-mode, a B-mode apical four-chamber view that meets the first preset condition; switching from the B mode to the C mode according to the imaging sequence, and determining in the C mode an apical four-chamber view of the C mode that meets the first preset condition; Identifying the C-mode apical four-chamber heart view; If it is identified that the C-mode apical four-chamber view meets the second preset condition, switching from the C-mode to the PW mode according to the imaging sequence, and determining the PW-mode apical four-chamber view that meets the first preset condition in the PW mode; If it is identified that the C-mode apical four-chamber view does not meet the second preset condition, switching from the C-mode to the CW mode according to the imaging sequence, determining a CW-mode apical four-chamber view that meets the first preset condition in the CW mode, switching from the CW mode to the PW mode according to the imaging sequence, and determining a PW-mode apical four-chamber view that meets the first preset condition in the PW mode; The PW mode is switched to the TVD mode according to the imaging sequence, and a TVD mode apical four-chamber view that meets the first preset condition is determined in the TVD mode.

3. The method according to claim 2, characterized in that The second preset condition includes that the blood flow morphology is normal; and the determining of the cardiac function parameters of the target object according to each of the apical four-chamber heart sections includes: If the blood flow morphology in the C-mode apical four-chamber view is normal, the first cardiac function parameter of the target object is determined according to the B-mode apical four-chamber view, the third cardiac function parameter of the target object is determined according to the PW-mode apical four-chamber view, and the fourth cardiac function parameter of the target object is determined according to the TVD-mode apical four-chamber view.

4. The method according to claim 3, characterized in that The step of obtaining the cardiac function assessment result of the target object according to the cardiac function parameter includes: determining a cardiac contraction condition of the target subject according to the first cardiac function parameter; determining a cardiac diastolic condition of the target subject according to the third cardiac function parameter and the fourth cardiac function parameter; The cardiac contraction condition and the cardiac diastole condition are integrated to obtain the cardiac function assessment result of the target object.

5. The method according to claim 2, characterized in that: The second preset condition includes that the blood flow morphology is normal; and the determining of the cardiac function parameters of the target object according to each of the apical four-chamber heart sections includes: If the blood flow morphology in the C-mode apical four-chamber view is abnormal, the first cardiac function parameter of the target object is determined according to the B-mode apical four-chamber view, the second cardiac function parameter of the target object is determined according to the CW-mode apical four-chamber view, the third cardiac function parameter of the target object is determined according to the PW-mode apical four-chamber view, and the fourth cardiac function parameter of the target object is determined according to the TVD-mode apical four-chamber view.

6. The method according to claim 5, characterized in that The step of obtaining the cardiac function assessment result of the target object according to the cardiac function parameter includes: determining a cardiac contraction condition of the target subject according to the first cardiac function parameter; determining a cardiac diastolic condition of the target subject according to the second cardiac function parameter, the third cardiac function parameter, and the fourth cardiac function parameter; The cardiac contraction condition and the cardiac diastole condition are integrated to obtain the cardiac function assessment result of the target object.

7. The method according to claim 3 or 5, characterized in that: Determining the fourth cardiac function parameter of the target object according to the apical four-chamber heart view of the TVD mode includes: Determining a target sampling point in the apical four-chamber heart view of the TVD mode based on a pre-trained deep learning model; The fourth cardiac function parameter of the target object is determined according to the target sampling point.

8. The method according to claim 3 or 5, characterized in that: Determining the first cardiac function parameter of the target object according to the B-mode apical four-chamber heart view includes: determining a cardiac cycle phase of the target subject; The B-mode apical four-chamber heart view is identified according to the cardiac cycle phase to obtain the first cardiac function parameter.

9. A medical image processing device, characterized in that: The device comprises: An acquisition module, used to acquire a preset imaging sequence including at least two imaging modes; the preset imaging sequence represents an imaging order between the at least two imaging modes; An imaging module, configured to perform ultrasonic imaging of the target object based on the preset imaging sequence, and determine an apical four-chamber heart view that meets the first preset condition in each of the imaging modes; a determination module, configured to determine the cardiac function parameters of the target object according to each of the apical four-chamber heart views; An evaluation module is used to obtain a cardiac function evaluation result of the target object according to the cardiac function parameter.

10. An ultrasound device, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

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