CN114376614A

CN114376614A - Auxiliary method for carotid artery ultrasonic measurement and ultrasonic equipment

Info

Publication number: CN114376614A
Application number: CN202111314070.0A
Authority: CN
Inventors: 娄喆; 王永槐; 毕桐瑶; 刘羽西; 安兴; 丛龙飞
Original assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd; First Hospital of China Medical University
Current assignee: Shenzhen Mindray Bio Medical Electronics Co Ltd; First Hospital of China Medical University
Priority date: 2021-11-08
Filing date: 2021-11-08
Publication date: 2022-04-22
Anticipated expiration: 2041-11-08
Also published as: CN114376614B

Abstract

The invention discloses an auxiliary method for carotid artery ultrasonic measurement and ultrasonic equipment, wherein the auxiliary method comprises the following steps: acquiring a carotid artery ultrasonic image; determining an ultrasonic imaging mode of a carotid artery ultrasonic image and a carotid artery position to which the carotid artery ultrasonic image belongs; determining a carotid artery measurement item corresponding to the ultrasonic imaging mode according to the ultrasonic imaging mode; and displaying imaging mode information and a carotid artery measurement item corresponding to the ultrasonic imaging mode, and displaying carotid artery position information corresponding to the position of the carotid artery, wherein the carotid artery measurement item is used for calling a measurement function corresponding to the carotid artery measurement item when the carotid artery measurement item is activated. According to the carotid artery ultrasonic image, the corresponding ultrasonic imaging mode, the carotid artery position and the corresponding carotid artery measurement items are displayed, a user does not need to frequently and manually switch to the interface where each carotid artery measurement function is located, and the work efficiency of the user in carotid artery ultrasonic measurement is improved.

Description

Auxiliary method for carotid artery ultrasonic measurement and ultrasonic equipment

Technical Field

The invention relates to the technical field of ultrasonic medical treatment, in particular to an auxiliary method for carotid artery ultrasonic measurement and ultrasonic equipment.

Background

The carotid artery ultrasonic examination is helpful for determining the property and stability of the carotid atheromatous plaque of the patient with ischemic cerebrovascular disease, determining the degree of carotid atherosclerosis and carotid artery stenosis, providing objective basis for early prevention and treatment of atherosclerosis, and having important significance for actively treating atherosclerosis and carotid artery stenosis and preventing ischemic stroke.

The carotid artery ultrasonic examination process needs a plurality of sections to be examined, the measured items comprise the tube diameter size, the Intima-Media Thickness (IMT), the hemodynamic parameters and the like, and if plaque exists, the plaque also needs to be measured. At present, auxiliary measurement and analysis tools for carotid scanning on ultrasonic equipment are not distributed in a centralized manner, doctors need to switch to different interfaces to select corresponding measurement and analysis functions, and the working efficiency of the doctors is reduced.

Disclosure of Invention

The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

The embodiment of the invention provides an auxiliary method for carotid artery ultrasonic measurement and ultrasonic equipment, which can automatically display corresponding measurement items according to carotid artery ultrasonic images obtained in different imaging modes so as to facilitate measurement of doctors and improve the working efficiency of the doctors.

In a first aspect, an embodiment of the present invention provides an auxiliary method for carotid artery ultrasound measurement, including:

acquiring a carotid artery ultrasonic image;

determining an ultrasonic imaging mode of the carotid artery ultrasonic image and a carotid artery position to which the carotid artery ultrasonic image belongs;

determining a carotid artery measurement item corresponding to the ultrasonic imaging mode according to the ultrasonic imaging mode;

displaying imaging mode information and the carotid artery measurement item corresponding to the ultrasonic imaging mode, and displaying carotid artery position information corresponding to the carotid artery position, wherein the carotid artery measurement item is used for calling a measurement function corresponding to the carotid artery measurement item when the carotid artery measurement item is activated.

In a second aspect, embodiments of the present invention provide an ultrasound device, comprising

An ultrasonic probe;

the transmitting/receiving circuit is used for controlling the ultrasonic probe to transmit ultrasonic waves to an ultrasonic detection object and receive ultrasonic echoes to obtain ultrasonic echo signals;

a processor for processing the ultrasonic echo signal to obtain an ultrasonic image of the ultrasonic test object;

a display for displaying the ultrasound image and/or measurements derived based on the ultrasound image;

the processor is further configured to perform the method of assisting carotid artery ultrasound measurement according to the first aspect.

In a third aspect, an embodiment of the present invention provides an auxiliary device for carotid artery ultrasound measurement, including at least one processor and a memory for communicative connection with the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the assistance method of the first aspect.

In a fourth aspect, the embodiments of the present invention also provide a computer-readable storage medium, where computer-executable instructions are stored, and the computer-executable instructions are configured to cause a computer to perform the assistance method according to the first aspect.

The auxiliary method for carotid artery ultrasonic measurement provided by the embodiment of the invention at least has the following beneficial effects: according to the ultrasonic imaging mode and the carotid artery position of the carotid artery ultrasonic image, the ultrasonic imaging mode and the carotid artery position corresponding to the current carotid artery ultrasonic image are automatically displayed for a user in a display interface, meanwhile, a carotid artery measurement item used for measuring the current carotid artery ultrasonic image is provided for the user, the user is guided to carry out standardized measurement and analysis, the user does not need to frequently and manually switch to the interface where each carotid artery measurement function is located, and therefore the work efficiency of the user in carotid artery ultrasonic measurement is improved.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

The accompanying drawings are included to provide a further understanding of the claimed subject matter and are incorporated in and constitute a part of this specification, illustrate embodiments of the subject matter and together with the description serve to explain the principles of the subject matter and not to limit the subject matter.

FIG. 1 is a diagram of a hardware connection configuration of an ultrasound device provided by one embodiment of the present invention;

FIG. 2 is an overall flow chart of a method of assisting carotid ultrasound measurement provided by an embodiment of the present invention;

FIG. 3 is a flow chart for displaying imaging mode information and carotid artery measurement items in B-picture mode according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of a display interface of a carotid artery ultrasound image in B-mode according to an embodiment of the present invention;

FIG. 5 is a flow diagram providing for highlighting IMT according to one embodiment of the present invention;

FIG. 6 is a flow diagram for highlighting plaque measurement items provided by one embodiment of the present invention;

FIG. 7 is a flow chart for displaying imaging mode information and carotid artery measurement items in C-image mode provided by an embodiment of the present invention;

FIG. 8 is a flowchart for displaying imaging mode information and carotid artery measurement items in a PW image mode according to an embodiment of the present invention;

FIG. 9 is a flow chart for highlighting hemodynamic measurements provided by one embodiment of the present invention;

FIG. 10 is a flow chart for displaying imaging mode information provided by one embodiment of the present invention;

FIG. 11 is a schematic view of a display interface of a carotid artery ultrasound image in PW image mode according to an embodiment of the present invention;

FIG. 12 is a flow diagram for automatically generating reports provided by one embodiment of the present invention;

FIG. 13 is a flow chart of filling measurement data in a structured report according to an embodiment of the present invention;

FIG. 14 is a flow chart of adding ultrasound images and measurement evaluations to a structured report as provided by one embodiment of the present invention;

FIG. 15 is a flow chart of activating a corresponding measurement function according to an activation instruction provided by an embodiment of the present invention;

FIG. 16 is a flow chart illustrating a completed state after a carotid measurement is completed according to an embodiment of the present invention;

figure 17 is a block diagram of an ultrasound device provided in accordance with one embodiment of the present invention.

Detailed Description

The terms "first," "second," "third," "fourth," and the like in the description of the application and the above-described figures, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.

It should be understood that in the description of the embodiments of the present application, a plurality (or a plurality) means two or more, and more than, less than, more than, etc. are understood as excluding the present number, and more than, less than, etc. are understood as including the present number.

Ultrasonic carotid artery examination is helpful for determining the property and stability of carotid atherosclerotic plaques in patients with ischemic cerebrovascular diseases, and determining the degree of carotid atherosclerosis and carotid stenosis, and particularly has obvious advantages in displaying the change of arterial wall structures. It provides objective basis for early prevention and treatment of atherosclerosis, and has important significance for actively treating atherosclerosis and carotid artery stenosis and preventing ischemic stroke.

At present, the ultrasonic scanning process of the carotid artery is complex, a plurality of carotid artery sections are generally required to be scanned under different imaging modes, and the ultrasonic images obtained by scanning are measured and analyzed; the system of the existing ultrasonic equipment is divided into functional modules, measurement and analysis tools are dispersed under each functional module, when a doctor performs measurement and analysis on a certain ultrasonic image, the doctor needs to enter interfaces corresponding to different functional modules, the doctor frequently switches among the interfaces, the doctor cannot perform quick analysis, and the work efficiency of the doctor is reduced.

Based on the above, the embodiment of the invention provides an auxiliary method for carotid artery ultrasonic measurement and an ultrasonic device, which are capable of intelligently displaying a measuring tool required by carotid artery ultrasonic scanning, facilitating measurement and analysis of doctors and improving the working efficiency of the doctors.

Fig. 1 is a schematic structural block diagram of a processing apparatus for ultrasonic inspection data in an embodiment of the present invention. The processing device 1000 may include an ultrasound probe 1001, transmit circuitry 1002, a transmit/receive select switch 1003, receive circuitry 1004, beam-forming circuitry 1005, a processor 1006, a display 1007, and a memory 1008.

The ultrasonic probe 1001 includes a transducer (not shown in the drawings) composed of a plurality of array elements arranged in an array, the plurality of array elements are arranged in a row to form a linear array, or are arranged in a two-dimensional matrix to form an area array, and the plurality of array elements may also form a convex array. The array elements are used for emitting ultrasonic beams according to the excitation electric signals or converting the received ultrasonic beams into electric signals. Each array element can thus be used to perform a mutual transformation of the electrical impulse signal and the ultrasound beam, thus performing an emission of ultrasound waves to a target region of human tissue (e.g. the target heart in this embodiment) and also to receive echoes of the ultrasound waves reflected back through the tissue. In performing ultrasonic detection, which array elements are used for transmitting ultrasonic beams and which array elements are used for receiving ultrasonic beams, or the time slots of the array elements are controlled for transmitting ultrasonic beams or receiving echoes of ultrasonic beams by the transmission/reception selection switch 1003. The array elements participating in ultrasonic wave transmission can be simultaneously excited by the electric signals, so that the ultrasonic waves are transmitted simultaneously; or the array elements participating in the ultrasonic wave transmission can be excited by a plurality of electric signals with certain time intervals, so that the ultrasonic waves with certain time intervals are continuously transmitted.

The transmit circuit 1002 is configured to generate a transmit sequence according to the control of the processor 1006, where the transmit sequence is configured to control some or all of the plurality of array elements to transmit ultrasonic waves to the biological tissue, and parameters of the transmit sequence include the position of the array element for transmission, the number of array elements, and ultrasonic beam transmission parameters (e.g., amplitude, frequency, transmission times, transmission interval, transmission angle, wave pattern, focusing position, etc.). In some cases, the transmit circuitry 1002 is further configured to phase delay the transmitted beams to cause different transmit elements to transmit ultrasound at different times so that each transmitted ultrasound beam can be focused at a predetermined region of interest. In different operation modes, such as a B image mode, a C image mode, and a D image mode (doppler mode), the parameters of the transmit sequence may be different, and the echo signal received by the receiving circuit 1004 and processed by the subsequent modules and corresponding algorithms may generate a B image reflecting the tissue anatomy, a C image reflecting the tissue anatomy and blood flow information, and a D image reflecting the doppler spectrum image.

The receiving circuit 1004 is configured to receive the electrical signal of the ultrasonic echo from the ultrasonic probe 1001 and process the electrical signal of the ultrasonic echo. The receive circuitry 1004 may include one or more amplifiers, analog-to-digital converters (ADCs), and the like. The amplifier is used for amplifying the electric signal of the received ultrasonic echo after proper gain compensation, the analog-to-digital converter is used for sampling the analog echo signal according to a preset time interval so as to convert the analog echo signal into a digitized signal, and the digitized echo signal still retains amplitude information, frequency information and phase information. The data output from the receiving circuit 1004 may be output to the beam combining circuit 1005 for processing or may be output to the memory 1008 for storage.

The beam forming circuit 1005 is connected to the receiving circuit 1004 for performing corresponding beam forming processing such as delay and weighted summation on the signals output by the receiving circuit 1004, and because the distances from the ultrasonic receiving points in the tested tissue to the receiving array elements are different, the channel data of the same receiving point output by different receiving array elements have delay differences, delay processing is required, the phases are aligned, and weighted summation is performed on different channel data of the same receiving point, so as to obtain the ultrasonic image data after beam forming, and the ultrasonic image data output by the beam forming circuit 1005 is also called as radio frequency data (RF data). The beam synthesis circuit 1005 outputs the radio frequency data to the IQ demodulation circuit. In some embodiments, the beam forming circuit 1005 may also output the rf data to the memory 1008 for buffering or saving, or output the rf data directly to the image processing module of the processor 1006 for image processing.

Beamforming circuit 1005 may perform the above functions in hardware, firmware, or software, for example, beamforming circuit 104 may include a central controller Circuit (CPU), one or more microprocessor chips, or any other electronic components capable of processing input data according to specific logic instructions, which when beamforming circuit 1005 is implemented in software may execute instructions stored on a tangible and non-transitory computer-readable medium (e.g., memory 1008) to perform beamforming calculations using any suitable beamforming method.

The processor 1006 is used for configuring a central controller Circuit (CPU), one or more microprocessors, a graphics controller circuit (GPU) or any other electronic components capable of processing input data according to specific logic instructions, and may control peripheral electronic components according to the input instructions or predetermined instructions, or perform data reading and/or saving on the memory 1008, or may process input data by executing a program in the memory 1008, such as performing one or more processing operations on acquired ultrasound data according to one or more working modes, the processing operations including, but not limited to, adjusting or defining the form of ultrasound waves emitted by the ultrasound probe 1001, generating various image frames for display on the display 1007 of a subsequent human-computer interaction device, or adjusting or defining the content and form displayed on the display 1007, or adjusting one or more image display settings (e.g., ultrasound images, etc.) displayed on the display 1007, Interface components, locating regions of interest).

The image processing module of the processor 1006 is configured to process the data output by the beam-forming circuit 1005 or the data output by the IQ demodulation circuit to generate a gray-scale image of the signal intensity variation within the scanning range, which reflects the anatomical structure inside the tissue, referred to as a B-image. The image processing module may output the B image to the display 1007 of the human-computer interaction device for display.

The human-computer interaction device is used for performing human-computer interaction, namely receiving input and output visual information of a user; the input of the user can be received by a keyboard, an operating button, a mouse, a track ball and the like, and a touch screen integrated with a display can also be adopted; the display 1007 is used to output visual information.

The memory 1008 may be a tangible and non-transitory computer readable medium, such as a flash memory card, solid state memory, hard disk, etc., for storing data or programs, e.g., the memory 1008 may be used to store acquired ultrasound data or temporarily not immediately displayed image frames generated by the processor 1006, or the memory 1008 may store a graphical user interface, one or more default image display settings, programming instructions for the processor, the beam-forming circuit, or the IQ demodulation circuit.

It should be noted that the structure of fig. 1 is merely illustrative, and may include more or fewer components than those shown in fig. 1, or have a different configuration than that shown in fig. 1. The components shown in fig. 1 may be implemented in hardware and/or software.

Based on the ultrasound apparatus shown in fig. 1, the method for assisting carotid artery ultrasound measurement is shown in fig. 2, and may specifically include, but is not limited to, the following steps S100, S200, S300, and S400.

S100, obtaining a carotid artery ultrasonic image;

s200, determining an ultrasonic imaging mode of a carotid artery ultrasonic image and a carotid artery position to which the carotid artery ultrasonic image belongs;

step S300, determining a carotid artery measurement item corresponding to the ultrasonic imaging mode according to the ultrasonic imaging mode;

and S400, displaying imaging mode information and a carotid artery measurement item corresponding to the ultrasonic imaging mode, and displaying carotid artery position information corresponding to the position of a carotid artery, wherein the carotid artery measurement item is used for calling a measurement function corresponding to the carotid artery measurement item under the condition of being activated.

In the standardized procedure of Carotid artery ultrasound measurement, it is necessary to respectively measure the cross section and longitudinal section of the blood vessel at the Common Carotid artery cca (Common Carotid array), the Carotid bifurcation bulb (bulb of the Common Carotid array), the internal Carotid artery ica (internal Carotid array), the external Carotid artery eca (external Carotid array) using a plurality of imaging modes (B image mode, C image mode, PW image mode), and the measured items are different according to the different imaging modes (such as the tube diameter size, intima-media thickness, hemodynamic parameters, etc.), if a Carotid plaque is found in scanning, the plaque needs to be measured and described by composition, and in general, there are more measurement functions needed for Carotid artery ultrasound measurement, and in the case of decentralized arrangement of the measurement functions by the ultrasound device, the user needs to switch the interface frequently; however, if the ultrasound device concentrates all the measurement functions into one interface without distinguishing, the problem of interface disorder is easily caused, and the ultrasound device is also not beneficial to the user to carry out efficient carotid artery ultrasound measurement.

The embodiment of the invention provides a display mode integrating a plurality of auxiliary measurement analysis functions for carotid scanning, wherein after a carotid ultrasound image is acquired, an ultrasound imaging mode adopted by the carotid ultrasound image and a position of a carotid in the carotid ultrasound image are analyzed, different carotid measurement items are called according to different ultrasound imaging modes, finally, imaging mode information and carotid measurement items corresponding to the ultrasound imaging mode are displayed on a display screen (such as a touch display screen), and carotid position information corresponding to the carotid position is also displayed, wherein the carotid measurement items can be activated after being displayed, and the measurement function corresponding to the carotid measurement item is called when a certain carotid measurement item is activated; by the mode, when a user needs to perform measurement and analysis on a carotid artery ultrasonic image, the system can automatically analyze and determine the imaging mode corresponding to the carotid artery ultrasonic image, a carotid artery measurement item needed to be used and a corresponding carotid artery position, information obtained by the analysis is displayed on the display screen, and the user can directly obtain measurement and analysis information related to the carotid artery ultrasonic image through the display screen.

The B-mode, commonly called B-mode, is a Brightness mode, and is a two-dimensional grayscale imaging mode, and displays the intensity of the ultrasonic echo signal through the Brightness intensity, and the ultrasonic echoes are different due to different degrees of uniformity of the internal structure of the human body, so that the structural condition of the scanned tissue can be known through the B-mode.

The C image mode, commonly called Color Doppler flow imaging mode, is a Color Doppler blood flow imaging mode, which displays the obtained blood flow information by phase detection, autocorrelation processing, Color gray-scale encoding, and displays the average blood flow velocity data in Color, and combines and superimposes the data on the B image. It can display blood flow more intuitively, and the distribution of the nature and flow speed of the blood flow in the heart and blood vessels is faster and more intuitively displayed than pulse Doppler.

The PW image mode refers to a Pulse Wave Doppler mode, ultrasonic waves transmitted and received by the ultrasonic probe are intermittent pulses, and sampling is carried out at a specific position along a Doppler line, so that the blood flow speed, the direction and the property of a certain depth on a sound beam can be displayed, and abnormal blood flow can be identified and positioned.

It can be understood that the cross section and the longitudinal section correspond to different ultrasound scanning modes, the cross section corresponds to an ultrasound section obtained by the ultrasound probe moving along the axial direction of the neck and the array element arrangement of the ultrasound probe being perpendicular to the blood vessel direction, the carotid artery blood vessel is embodied as a circular ring on the ultrasound image of the cross section, the longitudinal section corresponds to an ultrasound section obtained by the ultrasound probe moving along the axial direction of the neck and the array element arrangement of the ultrasound probe scanning along the blood vessel direction, and the carotid artery blood vessel is embodied as a strip-shaped outline on the ultrasound image of the longitudinal section.

It should be noted that the carotid artery ultrasound image obtained in step S100 may be obtained through different approaches, for example, when the user performs real-time carotid artery ultrasound scanning, the ultrasound probe transmits an ultrasound wave of a corresponding frequency and receives an echo signal, the received echo signal is processed by a signal processing link such as beam forming to obtain an ultrasound image, the ultrasound image is directly analyzed to obtain an ultrasound imaging mode and a corresponding carotid artery position, and for example, the user reads a stored ultrasound image instead of performing real-time carotid artery ultrasound scanning, and analyzes the read ultrasound image to obtain the ultrasound imaging mode and the corresponding carotid artery position.

Wherein different ultrasound imaging modes correspond to different carotid artery measurements. The carotid measurements invoked in three different imaging modes are listed below:

(1) in the case that the ultrasound imaging mode is the B-image mode, the displaying of the imaging mode information and the carotid artery measurement items in the step S400 may specifically include the following steps, with reference to fig. 3:

step S410, displaying imaging mode information in a first preset display area by text or images;

step S420, displaying carotid measurement items with a first degree of identification in a second preset display area, where the carotid measurement items include at least one of intima-Media thickness (imt) measurement items, plaque measurement items, pulse Wave velocity (pwv) (pulse Wave velocity) items, strain analysis items, and caliber measurement items.

In another embodiment, at least one of the above membrane-in-membrane thickness IMT measurement, plaque measurement, pulse wave propagation velocity PWV measurement, strain analysis, and caliber measurement is displayed with a first identification, and the caliber measurement is displayed with a second identification, wherein the second identification is higher than the first identification.

Referring to fig. 4, the imaging mode information is used to indicate to the user that the current imaging mode is the B image mode, and may be given by text or image, for example, characters such as "B" or "B mode" are displayed on the display screen, and these characters may adopt different display effects such as different fonts, different font sizes, different colors, etc., according to the needs, or call up a corresponding picture (e.g., a button picture) directly, which may represent the B image mode on the display screen.

The method is different from a first preset display area for displaying imaging mode information, and is used for displaying carotid artery measurement items corresponding to a B image mode in a second preset display area of a display screen, wherein one or more carotid artery measurement items can be set and displayed according to needs. The user can know which ultrasonic imaging mode the current ultrasonic image belongs to by observing the first pre-display area and the second pre-display area, and which carotid artery measurement items need to be used for measurement. It should be noted that the display of the carotid artery measurement item may take various forms, for example, the carotid artery measurement item may be displayed in a button form, so that the user may click the button to activate the corresponding measurement function, or the carotid artery measurement item may be displayed in a text or hyperlink manner, and jump to the corresponding measurement interface after being activated, for example.

Carotid artery ultrasonic measurement can measure the size of pipe diameter comparatively accurately under B image mode, in each carotid artery measurement item that the display area shows is predetermine to the second, with pipe diameter measurement item with the second degree of discernment demonstration, and the second degree of discernment is more obvious for first degree of discernment, can remind the user when carrying out carotid artery ultrasonic measurement, measures the pipe diameter size. For example, when the carotid artery measurement items are displayed on the display screen in the form of buttons, the first identification degree may adopt a common color (such as blue, represented by diagonal lines in fig. 4) to represent several buttons of the carotid artery measurement items, and the caliber measurement items display corresponding buttons with the second identification degree (such as bright yellow, represented by non-diagonal lines in fig. 4), so that the user may clearly see the buttons of the caliber measurement items, thereby reminding the user of the need to measure the caliber.

Based on the above steps S410 and S420, for different carotid artery ultrasound images, in order to guide the user to measure some important measurement items, it is necessary to display the important measurement items more obviously to remind the user. For example, for a longitudinal section ultrasound image of CCA, it is necessary to guide the user to measure IMT. Then, referring to fig. 5, the IMT measurement items are displayed in step S420 as follows:

step S421, when the position of the carotid artery is CCA and the type of the section is longitudinal section, the IMT measurement item is displayed with a third identification degree, which is higher than the first identification degree.

The section type of the carotid artery ultrasonic image can be determined by analyzing the carotid artery ultrasonic image through an image recognition technology, and the section type determination input by a user can also be received.

It will be appreciated that the first and third degrees of recognition have different visual effects, and the third degree of recognition may prompt the user more clearly than the first degree of recognition in order to draw the user's attention to the IMT measurement. For example, when the carotid artery measurement item is displayed on the display screen in the form of a button, the first identification degree may represent several buttons of the carotid artery measurement item by using a relatively common color (e.g., blue), and when it is determined that the carotid artery position of the carotid artery ultrasound image is CCA and the section type is a longitudinal section, the button corresponding to the IMT measurement item is displayed at the third identification degree (e.g., bright yellow), so that the user can clearly see the buttons of the IMT measurement item, thereby reminding the user of the need to measure the IMT.

Similarly, when plaque exists in the carotid artery ultrasound image, in order to guide the user to measure the plaque, the plaque measurement item needs to be displayed obviously. Then, referring to fig. 6, the detailed implementation of the plaque measurement item displayed in step S420 is as follows:

step S422, when the plaque condition indicates that plaque exists in the carotid artery ultrasonic image, the plaque measurement item is displayed with a fourth identification degree, and the fourth identification degree is higher than the first identification degree.

The plaque condition of the carotid artery ultrasonic image can be determined by analyzing the carotid artery ultrasonic image through an image recognition technology, and the plaque condition determination input by a user can also be received.

The first and fourth identities have different visual effects, and the fourth identity is able to prompt the user more clearly than the first identity in order to draw the user's attention to the plaque measurement item. The specific comparison between the fourth identification degree and the first identification degree can refer to the description of the comparison between the third identification degree and the first identification degree, and will not be repeated herein.

The section type and the speckle condition of the steps S421 and S422 can be manually input by the user, and the ultrasound imaging mode and the carotid artery position in the step S200 can also be manually input by the user. Besides the above indexes manually input by the user, the embodiment of the present invention further provides an intelligent analysis method based on an image recognition technology, which can automatically analyze the input carotid artery ultrasound image to obtain one or more of an ultrasound imaging mode, a carotid artery position, a section type and a speckle condition.

It should be noted that, for the plaque measurement item, even if the plaque is not automatically detected in the carotid ultrasound image, the plaque measurement item can be displayed with a first degree of identification, because the automatic detection has the problem of error and omission, so the plaque measurement item is provided regardless of whether the plaque is detected or not, and if the user finds that the plaque is on the carotid ultrasound image but is not automatically detected, the plaque measurement item can be manually activated to perform measurement.

For example, analyzing the carotid ultrasound image to determine the type of section of the carotid ultrasound image by an image recognition technique may include the following steps:

inputting the carotid artery ultrasonic image into a deep learning classification network after training to obtain the section type of the carotid artery ultrasonic image;

the deep learning classification network after training is obtained by training in the following mode:

acquiring first training data, wherein the first training data comprises a plurality of carotid artery ultrasonic images and first marking information corresponding to the carotid artery ultrasonic images, and the first marking information represents the section type of the current carotid artery ultrasonic images;

and inputting the first training data into a deep learning classification network for training, and obtaining a classification model according to a first loss function, wherein the classification model forms the deep learning classification network after training, and the first loss function is used for judging the convergence degree of the classification model training.

The first labeling information can be labeled by a user, and specifically is labeled as a transverse plane or a longitudinal plane; in the training process, the first training data is put into an untrained deep learning classification Network for training, the classification Network can be AlexNet, Resnet, VGG (Visual Geometry Group Network) and the like, the error between the prediction result and the calibration is calculated, iteration is carried out continuously and approximation is carried out gradually when the training is carried out based on the Network, and finally the classification model and the classification accuracy thereof are obtained. During prediction, the probability that the image belongs to a cross section or a longitudinal section can be obtained by taking the image as the input of a classification model, and a larger value is taken as the classification result of the image. Before the first training data is input into the deep learning classification network, the deep learning classification network can be untrained or pre-trained; in addition, the number of classification models may be one or more according to actual training requirements.

As another example, analyzing the carotid ultrasound image to determine the plaque condition of the carotid ultrasound image by an image recognition technique may include the following steps:

inputting the carotid artery ultrasonic image into the trained deep learning segmentation network to obtain the plaque condition of the carotid artery ultrasonic image;

the deep learning segmentation network after training is obtained by training in the following mode:

acquiring second training data, wherein the second training data comprises a plurality of carotid artery ultrasonic images and second marking information corresponding to the carotid artery ultrasonic images, and the second marking information comprises foreground area division and background area division of the carotid artery ultrasonic images;

and inputting second training data into the deep learning segmentation network for training, and obtaining the trained deep learning segmentation network according to a second loss function, wherein the second loss function is used for judging the convergence of the deep learning segmentation network training.

The second labeling information may be labeled by the user, specifically, the labeling areas on the carotid artery ultrasound image are as follows: marking the blood vessel area part as a foreground area and marking the non-blood vessel area part as a background area; in the training process, the second training data is put into a deep learning segmentation network for training, a typical segmentation network is FCN (full probabilistic networks), U-Net, Mask RCNN (Regions with CNN features) and the like, then a Mask image of an original image subjected to scaling in a certain proportion is obtained through a series of operations such as convolution, pooling, deconvolution and the like in the network, and a result that a pixel value in the image is larger than a certain threshold (for example, 0.5) is used as a patch area. Before the second training data is input into the deep learning segmentation network, the deep learning segmentation network can be untrained or pre-trained.

(2) In the case that the ultrasound imaging mode is the C image mode, the displaying of the imaging mode information and the carotid artery measurement items in the step S400 may specifically include the following steps, with reference to fig. 7:

step S430, displaying imaging mode information in a first preset display area by text or images;

step S440, displaying the carotid artery measurement item with the first degree of identification in the second preset display area, wherein the carotid artery measurement item includes a blood flow analysis item.

The display mode of the imaging mode information may be the same as the B image mode in the above (1), and is not repeated here once. For the carotid artery measurement item corresponding to the C image mode, the blood flow analysis item is displayed in the embodiment of the present invention, and the blood flow analysis item may be displayed in a form of a key or may be displayed in a form of a text or a hyperlink, which is not limited herein. It can be understood that only one carotid artery measurement item is displayed in the current C image mode, and the carotid artery measurement item can set the identification degree according to the requirement, and if a plurality of carotid artery measurement items are arranged in the C image mode, different identification degrees need to be set according to whether certain measurement items are highlighted or not.

(3) In the case that the ultrasound imaging mode is the PW imaging mode, the displaying of the imaging mode information and the carotid artery measurement items in the step S400 may specifically include the following steps, with reference to fig. 8:

step S450, displaying imaging mode information in a first preset display area by text or images;

step S460, displaying the carotid artery measurement item with the first identification degree in the second preset display area, wherein the carotid artery measurement item includes a spectrum analysis item and/or a hemodynamic measurement item.

The display mode of the imaging mode information may be the same as the B image mode in the above (1), and is not repeated here once. For the carotid artery measurement items corresponding to the PW image mode, the embodiment of the present invention includes two, which are a spectrum analysis item and a hemodynamic measurement item, respectively, when the carotid artery measurement item does not need to be highlighted, both the spectrum analysis item and the hemodynamic measurement item are displayed with a first identification degree, and when a certain carotid artery measurement item needs to be highlighted (taking the hemodynamic measurement item as an example), the identification degree can be adjusted according to the following manner with reference to fig. 9:

step S461, displaying the hemodynamic measurement item with a fifth identification degree, wherein the fifth identification degree is higher than the first identification degree.

It will be appreciated that the first and fifth degrees of recognition have different visual effects, and that the fifth degree of recognition may prompt the user more clearly than the first degree of recognition in order to draw the user's attention to the IMT measurement. The specific comparison between the fifth identification degree and the first identification degree may refer to the description of the comparison between the third identification degree and the first identification degree, and will not be repeated herein.

It should be noted that, in order to unify the display modes of the carotid artery measurement items between the B image mode, the C image mode and the PW image mode, the third identification degree, the fourth identification degree and the fifth identification degree may be the same, and when the user measures different carotid artery ultrasound images, the user can see the identification degree prompt of the unified division, that is, the carotid artery measurement item of the common display is the first identification degree, and the carotid artery measurement item of the highlight display is the third identification degree.

On the other hand, the display screen interface can also place the corresponding carotid artery ultrasonic image in a preset display area according to the identified different carotid artery positions. For example, the displaying of the carotid artery position information corresponding to the carotid artery position in step S400 can be specifically realized by the following steps, referring to fig. 10:

step S470, zooming and displaying the carotid artery ultrasonic image in a target image area, wherein the target image area and the carotid artery position have a corresponding relation;

and step S480, displaying carotid artery position information corresponding to the position of the carotid artery in the target image area, wherein the carotid artery position information is one of the CCA, the Bulb of the carotid bifurcation, the ICA of the internal carotid artery and the ECA of the external carotid artery.

Referring to fig. 11, on the display screen interface, four image frames at different positions are respectively marked out for CCA, Bulb, ICA and ECA, and are four target image areas; when a certain carotid artery ultrasonic image is obtained, and the position of the carotid artery to which the carotid artery ultrasonic image belongs is identified as CCA, the carotid artery ultrasonic image is zoomed according to the size of a target image area corresponding to the CCA and is displayed in the target image area corresponding to the CCA, and meanwhile, the character of the CCA is also displayed in the target image area.

It can be understood that when a plurality of carotid artery ultrasound images are introduced and analyzed at a time, the carotid artery ultrasound images can be respectively displayed to the corresponding target image areas according to the identification result of the carotid artery position. For the condition that a plurality of carotid artery ultrasonic images belong to the same target image area, only one carotid artery ultrasonic image is displayed in the current target image area, other carotid artery ultrasonic images are to be displayed, the target image area can be designed to be clicked, a carotid artery ultrasonic image selection interface is popped up, and after a user selects one carotid artery ultrasonic image, the target image area is switched to display the carotid artery ultrasonic image selected by the user.

The embodiment of the present invention further has a function of automatically generating a report, and specifically, referring to fig. 12, the report is automatically generated by the following steps:

step S501, receiving a report generation instruction, wherein the report generation instruction is input by a user or generated after at least one measurement function is completed on a carotid artery ultrasonic image;

and step S502, calling measurement data obtained by measuring the carotid artery ultrasonic image, and generating a structured report according to the measurement data.

The report generation instruction can be triggered in two ways, wherein one way is that when the user thinks that the measurement is finished, the user can manually input the report generation instruction, and the ultrasonic equipment generates a structured report according to the data obtained by the measurement; the other mode is that the ultrasonic equipment automatically judges whether the structured report needs to be generated or not according to whether the measurement process is finished or not, and the time for triggering the generation of the structured report is that one measurement function is finished or all the measurement functions are finished, which indicates that the user has already performed the corresponding measurement work, so the structured report can be automatically generated at this time.

It is worth noting that the structured report has different formats, in order to unify the templates of the structured report, different measurement functions are filled in different specific positions in the report, and the user can conveniently check the structured report; referring to fig. 13, this may be specifically realized by:

step S503, according to the preset measurement items and the preset format of the structured report, classifying the measurement data according to the preset measurement items, and filling the measurement data into the corresponding position in the preset format.

The structured report is classified according to the measurement items, and is combined with a preset format, which is equivalent to setting corresponding formats for different measurement items, when the measurement data is received, the measurement items in the measurement data are classified according to the preset measurement items, and then the measurement items are filled in the corresponding formats, so that the corresponding structured report is formed.

In order to enrich the content of the structured report and improve the readability of the structured report, the carotid artery ultrasonic image related to the measurement data and the evaluation of the measurement data can be added into the structured report to form a complete measurement report. Referring to fig. 14, the method may specifically be implemented by the following steps:

step S504, attaching at least one carotid artery ultrasonic image corresponding to the measurement data to a structured report;

and step S505, analyzing the measurement data according to a preset evaluation standard to obtain carotid artery ultrasonic measurement evaluation, and attaching a carotid artery ultrasonic measurement evaluation image to the structured report.

It can be understood that the preset evaluation criterion may include corresponding threshold values of different carotid artery measurement items, and whether the measurement value exceeds the normal range can be obtained by comparing the measurement value in the measurement data with the corresponding threshold value, and then the carotid artery ultrasonic measurement evaluation can be generated by combining with a preset language template. The above-mentioned manner of generating the carotid artery ultrasound measurement evaluation is only one possible case, the embodiment of the present invention does not limit the specific structure of the preset evaluation standard, and a person skilled in the art can adjust the preset evaluation standard according to the situation of the measurement data.

Referring to fig. 15, after displaying the carotid measurement item, the carotid measurement item may be activated to perform a corresponding measurement function. Namely:

step S601, receiving an activation instruction for a carotid artery measurement item;

and step S602, activating the measurement function corresponding to the carotid artery measurement item according to the activation instruction.

In particular, after activation of the carotid measurement, the ultrasound device may respond differently depending on the setting. For example, after clicking the pipe diameter measurement item, the measuring caliper may be displayed on a carotid artery ultrasound image of another screen (hereinafter referred to as a main screen for short), and a measurement window pops up on the current display screen at the same time, so that the user may adjust the measuring caliper on the main screen in the measurement window of the current display screen, thereby realizing the measurement of the pipe diameter; when the pipe diameter needs to be measured in the same carotid artery ultrasonic image for multiple times, pipe diameter measurement items can be clicked for multiple times, a plurality of measuring calipers are generated on the main screen, and pipe diameters at multiple positions are measured. For another example, after the PWV measurement item is clicked, the corresponding speed data is displayed on the main screen, and the PWV measurement item is set to the inactivated state.

The method for activating the carotid artery measurement items is only an example, and different functional interfaces, corresponding prompt legends and the like can be activated according to different measurement methods of different carotid artery measurement items, and the method is not limited herein.

Referring to fig. 16, after a carotid measurement item is activated, in order to show that the carotid measurement item has been measured, it needs to be shown in a completed state in order for a user to distinguish several carotid measurement items on a display screen, which carotid measurement items have completed measurement, and which carotid measurement items have not completed measurement. Specifically, the following steps may be performed:

step S603, when the measurement function corresponding to the activated carotid artery measurement item is completed, displaying the activated carotid artery measurement item as a completed state.

It is understood that the completed status can be displayed in different forms, for example, based on the above scheme of displaying the carotid artery measurement item with the first identification degree being in the inactive status, when the carotid artery measurement item is activated and measured, the first identification degree can be changed to the sixth identification degree, the sixth identification degree is different from the first identification degree, the first identification degree can be higher than the sixth identification degree (for example, the first identification degree is blue, the sixth identification degree is gray), the first identification degree can be lower than the sixth identification degree (for example, the first identification degree is blue, and the sixth identification degree is red); for another example, the completed state is attached to the corresponding carotid artery measurement item as a label (for example, a carotid artery measurement item displayed by a button, and a "completed" pattern is marked beside the button after the measurement is completed), and for another example, the corresponding carotid artery measurement item is hidden and displayed, which is also a display mode of the completed state. In summary, after the carotid artery measurement item is measured, the carotid artery measurement item is displayed in a form different from the inactive carotid artery measurement item, which is only an example and is not limited to the specific form of the "completed state".

By the method, the user can be assisted in carrying out standardized measurement on the carotid artery ultrasonic image, on one hand, the user is not required to switch among different functional interfaces to execute the desired function, on the other hand, the user is reminded to measure the important carotid artery measurement item, and therefore the work efficiency of the user in carrying out carotid artery ultrasonic measurement is improved.

The embodiment of the invention also provides a device for processing ultrasonic detection data, which comprises:

an ultrasonic probe;

the processor is used for processing the ultrasonic echo signal to obtain an ultrasonic image of an ultrasonic detection object;

a display for displaying the ultrasound images and/or measurements derived based on the ultrasound images;

the processor is also used to perform the above-described method of assisting carotid ultrasound measurements.

The processing device of the ultrasonic detection data is an ultrasonic device in the embodiment, and in some application scenarios (such as an ICU ward, an operating room and the like), the ultrasonic equipment is arranged near a sickbed, a doctor carries out ultrasonic detection on a patient on the sickbed in real time through an ultrasonic probe, an ultrasonic image of a target tissue is output in the ultrasonic equipment based on ultrasonic echo, the ultrasonic equipment is based on the auxiliary method of carotid artery ultrasonic measurement, the doctor analyzes the ultrasonic image to obtain the measurement result, or the ultrasonic device automatically analyzes the ultrasonic image to obtain the measurement result, then the measurement result is combined with the historical measurement result of the patient to obtain a data set divided according to the measurement items, and finally each measurement result belonging to the same measurement item is converted into a trend graph and displayed, so that the doctor can clearly know the change trend of the state of an illness of the target tissue of the patient according to the trend graph, and the efficiency of the doctor in clinical ultrasonic detection is greatly improved.

The embodiment of the invention also provides a processing device of ultrasonic detection data, which comprises at least one processor and a memory which is used for being in communication connection with the at least one processor; the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the aforementioned method of assisting in carotid ultrasound measurements.

Referring to fig. 17, it is exemplified that the control processor 2001 and the memory 2002 in the processing device 2000 may be connected by a bus. The memory 2002, as a non-transitory computer-readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer-executable programs. Further, the memory 2002 may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk memory, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 2002 may optionally include memory located remotely from the control processor 2001, which may be connected to the processing device 2000 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

Those skilled in the art will appreciate that the device configuration shown in fig. 17 does not constitute a limitation of the processing device 2000, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.

Also provided in accordance with an embodiment of the present invention is a computer-readable storage medium storing computer-executable instructions, which are executed by one or more control processors, for example, by one of the control processors 2001 in fig. 17, and which may cause the one or more control processors to execute the auxiliary method in the above-described method embodiment, for example, execute the above-described method steps S100 to S400 in fig. 2, method steps S410 to S420 in fig. 3, method step S421 in fig. 5, method step S422 in fig. 6, method steps S430 to S440 in fig. 7, method steps S450 to S460 in fig. 8, method step S461 in fig. 9, method steps S470 to S480 in fig. 10, method steps S501 to S502 in fig. 12, method step S503 in fig. 13, method steps S504 to S505 in fig. 14, Method steps S601 to S602 in fig. 15 and step S603 in fig. 16.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

It should also be appreciated that the various implementations provided in the embodiments of the present application can be combined arbitrarily to achieve different technical effects.

While the preferred embodiments of the present invention have been described, the present invention is not limited to the above embodiments, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention, and such equivalent modifications or substitutions are included in the scope of the present invention defined by the claims.

Claims

1. An auxiliary method for carotid artery ultrasound measurement, comprising:

acquiring a carotid artery ultrasonic image;

2. The method for assisting carotid artery ultrasound measurement according to claim 1, wherein in case that the ultrasound imaging mode is a B image mode, the displaying of imaging mode information corresponding to the ultrasound imaging mode and the carotid artery measurement items comprises:

displaying imaging mode information in a first preset display area by text or images;

and displaying the carotid artery measurement items in a second preset display area, wherein the carotid artery measurement items comprise at least one of intima-media thickness IMT measurement items, plaque measurement items, pulse wave propagation velocity (PWV) items, strain analysis items and pipe diameter measurement items.

3. The method for assisting carotid artery ultrasound measurement according to claim 2, wherein the displaying the carotid artery measurement items in a second preset display area comprises:

and displaying at least one of the intima-media thickness IMT measurement item, the plaque measurement item, the pulse wave propagation velocity PWV item and the strain analysis item in a first identification degree in the second preset display area, and displaying the tube diameter measurement item in a second identification degree, wherein the second identification degree is higher than the first identification degree.

4. The method of assisting carotid artery ultrasound measurement according to claim 3,

the assistance method further includes:

analyzing the carotid artery ultrasonic image through an image recognition technology to determine the section type of the carotid artery ultrasonic image or receiving the section type of the carotid artery ultrasonic image input by a user;

when the position of the carotid artery is CCA and the section type is a longitudinal section, the IMT measurement item is displayed with a third identification degree, and the third identification degree is higher than the first identification degree.

5. The method of assisting carotid artery ultrasound measurement according to claim 4, wherein the analyzing the carotid artery ultrasound image by an image recognition technique to determine the section type of the carotid artery ultrasound image comprises:

inputting the carotid artery ultrasonic image into a trained deep learning classification network to obtain the section type of the carotid artery ultrasonic image;

6. The method of assisting carotid artery ultrasound measurement according to claim 3,

the assistance method further includes:

analyzing the carotid artery ultrasonic image through an image recognition technology to determine the plaque condition of the carotid artery ultrasonic image or receiving the plaque condition of the carotid artery ultrasonic image input by a user;

when the plaque condition indicates that plaque exists in the carotid artery ultrasonic image, displaying the plaque measurement item with a fourth identification degree, wherein the fourth identification degree is higher than the first identification degree.

7. The method of assisting carotid artery ultrasound measurement according to claim 6, wherein the analyzing the carotid artery ultrasound image by an image recognition technique to determine the plaque condition of the carotid artery ultrasound image comprises:

inputting the carotid artery ultrasonic image into a trained deep learning segmentation network to obtain the plaque condition of the carotid artery ultrasonic image;

and inputting the second training data into a deep learning segmentation network for training, and obtaining the trained deep learning segmentation network according to a second loss function, wherein the second loss function is used for judging the convergence degree of the deep learning segmentation network training.

8. The method for assisting carotid artery ultrasound measurement according to claim 1, wherein in case that the ultrasound imaging mode is a C image mode, the displaying of imaging mode information corresponding to the ultrasound imaging mode and the carotid artery measurement items comprises:

and displaying the carotid artery measuring item with a first identification degree in a second preset display area, wherein the carotid artery measuring item comprises a blood flow analysis item.

9. The method for assisting carotid artery ultrasound measurement according to claim 1, wherein in case that the ultrasound imaging mode is a PW image mode, the displaying of imaging mode information corresponding to the ultrasound imaging mode and the carotid artery measurement items comprises:

displaying the carotid artery measurement items in a second preset display area, wherein the carotid artery measurement items comprise a spectrum analysis item and/or a hemodynamic measurement item.

10. The method for assisting carotid artery ultrasound measurement according to claim 9, wherein the displaying the carotid artery measurement items in a second preset display area comprises:

displaying the spectral analysis item with a first identification degree in the second preset display area, and displaying the hemodynamic measurement item with a fifth identification degree, wherein the fifth identification degree is higher than the first identification degree.

11. The method for assisting carotid artery ultrasound measurement according to claim 1, wherein the displaying carotid artery position information corresponding to the carotid artery position comprises:

zooming and displaying the carotid artery ultrasonic image in a target image area, wherein the target image area has a corresponding relation with the position of the carotid artery;

displaying carotid artery position information corresponding to the position of the carotid artery in the target image area, wherein the carotid artery position information is one of CCA, Bulb of a carotid bifurcation, ICA (internal carotid artery) and ECA (external carotid artery).

12. The carotid artery ultrasound measurement assisting method according to claim 1, characterized in that the ultrasound imaging mode and the carotid artery position are determined by analyzing the carotid artery ultrasound image through an image recognition technique or are obtained by user input.

13. The method for assisting carotid artery ultrasound measurement according to claim 1, wherein the carotid artery ultrasound image is obtained by real-time scanning of an ultrasound probe or is read from a memory.

14. The method of assisting carotid artery ultrasound measurement according to claim 1, further comprising:

receiving a report generation instruction, wherein the report generation instruction is input by a user or generated after at least one measurement function is completed on the carotid artery ultrasonic image;

and calling the measurement data obtained by measuring the carotid artery ultrasonic image, and generating a structured report according to the measurement data.

15. The method of assisting carotid artery ultrasound measurement according to claim 14, further comprising:

attaching at least one frame of carotid ultrasound image corresponding to the measurement data to the structured report;

and analyzing the measurement data according to a preset evaluation standard to obtain carotid artery ultrasonic measurement evaluation, and attaching the carotid artery ultrasonic measurement evaluation to the structured report.

16. The method of assisting carotid artery ultrasound measurement according to claim 1, further comprising:

receiving an activation instruction for the carotid artery measurement;

and activating the corresponding measurement function of the carotid artery measurement item according to the activation instruction.

17. The method of assisting carotid artery ultrasound measurement according to claim 1, further comprising:

and when the measurement function corresponding to the activated carotid artery measurement item is measured, displaying the activated carotid artery measurement item as a finished state.

18. An ultrasound device, comprising:

an ultrasonic probe;

the processor is further configured to perform a method of assisting carotid ultrasound measurements as claimed in any of the preceding claims 1 to 17.