CN114376614B

CN114376614B - Auxiliary method for carotid artery ultrasonic measurement and ultrasonic equipment

Info

Publication number: CN114376614B
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: 2024-03-12
Anticipated expiration: 2041-11-08
Also published as: CN114376614A

Abstract

The invention discloses an auxiliary method and ultrasonic equipment for carotid artery ultrasonic measurement, wherein the auxiliary method comprises the following steps: acquiring an ultrasonic image of the carotid artery; determining an ultrasonic imaging mode of the carotid ultrasonic image and a carotid artery position to which the carotid ultrasonic image belongs; determining carotid artery measurement items corresponding to the ultrasonic imaging mode according to the ultrasonic imaging mode; imaging mode information corresponding to the ultrasound imaging mode and carotid artery measurement items are displayed, carotid artery position information corresponding to carotid artery position is displayed, and carotid artery measurement items are used to invoke measurement functions corresponding to carotid artery measurement items if activated. And displaying the corresponding ultrasonic imaging mode, carotid artery position and corresponding carotid artery measurement items according to the carotid artery ultrasonic image, and improving the working efficiency of carotid artery ultrasonic measurement by the user without frequently and manually switching to the interface where each carotid artery measurement function is located.

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 ultrasonic examination is helpful for determining the nature and stability of carotid plaque of ischemic cerebrovascular patients, determining the degrees of carotid atherosclerosis and carotid stenosis, providing objective basis for early prevention and treatment of atherosclerosis, and having important significance for actively treating atherosclerosis and carotid stenosis and preventing ischemic cerebral apoplexy.

The carotid ultrasound examination flow has more sections to be examined, and the measured items include the pipe diameter size, the Intima-Media Thickness (IMT) of the pipe wall, the hemodynamic parameters, and the like, and if plaque exists, the plaque also needs to be measured. At present, auxiliary measurement analysis tools aiming at carotid artery scanning on ultrasonic equipment are not concentrated in distribution, doctors need to switch to different interfaces to select corresponding measurement 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 and ultrasonic equipment for carotid artery ultrasonic measurement, which can automatically display corresponding measurement items according to carotid artery ultrasonic images obtained in different imaging modes so as to facilitate measurement by 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 ultrasonic measurement, including:

acquiring an ultrasonic image of the carotid artery;

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

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

displaying imaging mode information corresponding to the ultrasonic imaging mode and the carotid artery measurement item, 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 activated.

In a second aspect, an embodiment of the present invention provides an ultrasonic apparatus, including

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;

the processor is used for processing the ultrasonic echo signals and obtaining an ultrasonic image of the ultrasonic detection object;

the display is used for displaying the ultrasonic image and/or a measurement result obtained based on the ultrasonic image;

The processor is further configured to perform the auxiliary method of carotid artery ultrasound measurement described in the first aspect above.

In a third aspect, an embodiment of the present invention provides an auxiliary device for carotid artery ultrasound measurement, comprising at least one processor and a memory for communication 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 according to the first aspect.

In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions for causing 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 has at least 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 to a user in a display interface, and carotid artery measuring items for measuring the current carotid artery ultrasonic image are provided for the user at the same time, so that the user is guided to perform standardized measurement analysis, and the user does not need to frequently and manually switch to the interface where each carotid artery measuring function is located, thereby improving the working efficiency of carotid artery ultrasonic measurement of the user.

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 technical aspects of the present application, and are incorporated in and constitute a part of this specification, illustrate the technical aspects of the present application and together with the examples of the present application, and not constitute a limitation of the technical aspects of the present application.

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

FIG. 2 is a general flow chart of an assisted method for carotid ultrasound measurements provided by an embodiment of the invention;

FIG. 3 is a flow chart showing imaging mode information and carotid artery measurements displayed in B-image mode, provided by one embodiment of the invention;

FIG. 4 is a schematic view of a display interface when the carotid ultrasound image provided by an embodiment of the invention is in B-mode;

FIG. 5 is a flow chart for highlighting IMT provided by one embodiment of the present invention;

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

FIG. 7 is a flow chart showing imaging modality information and carotid artery measurements displayed in C-image modality, in accordance with one embodiment of the present invention;

FIG. 8 is a flow chart showing imaging mode information and carotid artery measurements displayed in PW image mode, in accordance with one embodiment of the invention;

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

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

FIG. 11 is a schematic view of a display interface when the carotid ultrasound image provided by an embodiment of the invention is in PW image mode;

FIG. 12 is a flow chart of an automatically generated report provided by one embodiment of the present invention;

FIG. 13 is a flow chart for populating measurement data in a structured report according to one embodiment of the invention;

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

FIG. 15 is a flow chart providing for activating a corresponding measurement function according to an activation instruction in accordance with one embodiment of the present invention;

FIG. 16 is a flow chart showing a completed state after carotid artery measurement is completed, according to one embodiment of the invention;

fig. 17 is a block diagram of an ultrasound apparatus according to an embodiment of the present invention.

Detailed Description

The terms "first," "second," "third," "fourth," and the like in the description of the present application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be capable of operation in sequences other than those illustrated or described herein, for example. 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 or inherent to such process, method, article, or apparatus.

It should be understood that in this application, "at least one" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). 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, the meaning of a plurality (or multiple) is two or more, and that greater than, less than, exceeding, etc. is understood to not include the present number, and that greater than, less than, within, etc. is understood to include the present number.

Carotid ultrasound examination helps to determine the nature and stability of carotid plaque in ischemic cerebrovascular patients, and to determine the extent of carotid atherosclerosis and carotid stenosis, especially with significant advantages in showing changes in arterial wall structure. The preparation 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 cerebral apoplexy.

At present, the ultrasonic scanning flow of carotid arteries is complex, a plurality of carotid artery sections are usually required to be scanned in different imaging modes, and ultrasonic images obtained by scanning are measured and analyzed; the system of the existing ultrasonic equipment is divided by functional modules, measurement and analysis tools are dispersed under each functional module, when a doctor performs measurement and analysis on an ultrasonic image, the doctor needs to enter into the interfaces corresponding to different functional modules, and the doctor frequently switches between the interfaces, so that the quick analysis of the doctor is not facilitated, and the working efficiency of the doctor is reduced.

Based on the above, the embodiment of the invention provides an auxiliary method and ultrasonic equipment for carotid artery ultrasonic measurement, which intelligently display a measuring tool required by carotid artery ultrasonic scanning, are convenient for a doctor to measure and analyze, and improve the working efficiency of the doctor.

Fig. 1 is a schematic block diagram of a processing device for ultrasonic detection data according to an embodiment of the present invention. The processing apparatus 1000 may include an ultrasound probe 1001, a transmitting circuit 1002, a transmit/receive selection switch 1003, a receiving circuit 1004, a beam combining circuit 1005, a processor 1006, a display 1007, and a memory 1008.

The ultrasonic probe 1001 includes a transducer (not shown in the figure) composed of a plurality of array elements arranged in an array, the plurality of array elements being arranged in a row to form a linear array, or being arranged in a two-dimensional matrix to form an area array, the plurality of array elements may also form a convex array. The array elements are used for transmitting 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 effect a mutual conversion of the electrical pulse signal and the ultrasound beam, thereby effecting the transmission of ultrasound waves to a target region of human tissue (e.g. the target heart in this embodiment), and also for receiving echoes of ultrasound waves reflected back through the tissue. In the case of ultrasonic detection, the transmit/receive selection switch 1003 may be used to control which array elements are used to transmit ultrasonic beams and which array elements are used to receive ultrasonic beams, or to control the array element time slots to transmit ultrasonic beams or receive echoes of ultrasonic beams. The array elements participating in ultrasonic wave transmission can be excited by the electric signals at the same time, so that ultrasonic waves are transmitted at the same time; or the array elements participating in the ultrasonic wave transmission can be excited by a plurality of electric signals with a certain time interval, so that the ultrasonic wave with a certain time interval can be continuously transmitted.

The transmitting circuit 1002 is configured to generate a transmitting sequence according to control of the processor 1006, where the transmitting sequence is configured to control a part or all of the plurality of array elements to transmit ultrasonic waves to biological tissue, and the transmitting sequence parameters include an array element position for transmitting, an array element number, and an ultrasonic beam transmitting parameter (such as amplitude, frequency, number of transmissions, transmission interval, transmission angle, waveform, focusing position, etc.). In some cases, the transmitting circuit 1002 is further configured to delay the phases of the transmitted beams, so that different transmitting array elements transmit ultrasound waves at different times, so that each transmitting ultrasound beam can be focused on a predetermined region of interest. Different modes of operation, such as B-image mode, C-image mode, and D-image mode (doppler mode), the transmit sequence parameters may be different, and after the echo signals are received by the receive circuit 1004 and processed by subsequent modules and corresponding algorithms, a B-image reflecting the anatomical structure of the tissue, a C-image reflecting the anatomical structure and blood flow information, and a D-image reflecting the doppler spectrum image may be generated.

The reception circuit 1004 is configured to receive an electric signal of an ultrasonic echo from the ultrasonic probe 1001 and process the electric 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 received electric signal of the ultrasonic echo after proper gain compensation, and 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 maintains amplitude information, frequency information and phase information. The data output from the reception circuit 1004 may be output to the beam forming circuit 1005 for processing, or may be output to the memory 1008 for storage.

The beam synthesis circuit 1005 is in signal connection with the receiving circuit 1004, and is configured to perform corresponding beam synthesis processing such as delay and weighted summation on signals output by the receiving circuit 1004, where, because distances from an ultrasonic receiving point in a measured tissue to the receiving array elements are different, channel data of the same receiving point output by different receiving array elements have delay differences, delay processing is required to be performed, phases are aligned, and different channel data of the same receiving point are weighted and summed, so as to obtain beamformed ultrasonic image data, and ultrasonic image data output by the beam synthesis circuit 1005 is also referred to as radio frequency data (RF data). The beam combining 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 storing, or directly output the rf data to the image processing module of the processor 1006 for image processing.

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

The processor 1006 is configured to be a central controller Circuit (CPU), one or more microprocessors, graphics controller circuits (GPUs), or any other electronic component capable of processing input data according to specific logic instructions, which may perform control of peripheral electronic components, or data reading and/or saving of memory 1008 according to the input instructions or predetermined instructions, and may also process the input data by executing programs in memory 1008, such as by performing one or more processing operations on the acquired ultrasound data according to one or more modes of operation, including but not limited to adjusting or defining the form of ultrasound emitted by the ultrasound probe 1001, generating various image frames for display by the display 1007 of a subsequent human-machine 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, interface components, locating regions of interest) displayed on the display 1007.

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

The man-machine interaction device is used for carrying out man-machine interaction, namely receiving the input and output visual information of a user; the input of the user can be received by a keyboard, an operation button, a mouse, a track ball and the like, and a touch screen integrated with a display can also be adopted; the output visual information of which is displayed 1007.

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

It should be noted that the structure of fig. 1 is only 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 auxiliary method for 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.

Step S100, obtaining an ultrasonic image of the carotid artery;

step S200, determining an ultrasonic imaging mode of the carotid ultrasonic image and a carotid artery position to which the carotid ultrasonic image belongs;

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

step S400, displaying imaging mode information corresponding to the ultrasound imaging mode and carotid artery measurement items, displaying carotid artery position information corresponding to the carotid artery position, the carotid artery measurement items being used to invoke measurement functions corresponding to the carotid artery measurement items if activated.

In the standardized procedure of carotid artery ultrasonic measurement, multiple imaging modes (B image mode, C image mode, PW image mode) are required to be used at the carotid artery CCA (common carotid artery), the carotid bifurcation Bulb (Bulb of the Common Carotid Artery), the carotid artery ICA (Internal Carotid Artery) and the carotid artery ECA (External Carotid Artery) respectively for measuring the cross section and the longitudinal section of the blood vessel, the measured items are different according to the imaging modes (such as the pipe diameter, the intima-media thickness, the hemodynamic parameters and the like), if carotid plaque is found in scanning, the plaque is also required to be measured and component described, in general, the carotid artery ultrasonic measurement needs more measurement functions, and under the condition that the ultrasonic equipment disperses the measurement functions, the user needs to frequently switch the interface; if the ultrasonic equipment does not distinguish the measurement functions and concentrates the measurement functions on one interface, the interface disorder problem is easy to be caused, and the efficient carotid artery ultrasonic measurement is also not facilitated for a user.

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

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

The above-mentioned C image mode, commonly called color Doppler ultrasound, is Color Doppler flow imaging mode, i.e. color Doppler blood flow imaging mode, and it is characterized by that the obtained blood flow information is undergone the processes of phase detection, autocorrelation treatment and color gray scale coding, and the average blood flow velocity data is displayed in the form of color, and combined, and superimposed and displayed on the B image. It can display blood flow more intuitively, and the distribution of the nature and flow velocity of blood flow in heart and blood vessel is faster and more intuitively displayed than pulse Doppler.

The PW image mode is Pulse Wave Doppler mode, and ultrasonic waves transmitted and received by the ultrasonic probe are intermittent pulses, and are sampled at specific positions along the doppler line, so that the blood flow velocity, direction and property of a certain depth on the acoustic beam can be displayed, and abnormal blood flow can be identified and located.

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

It should be noted that, the carotid artery ultrasound image obtained in the step S100 may be obtained through different approaches, for example, the user performs real-time carotid artery ultrasound scanning, the ultrasound probe transmits ultrasound with corresponding frequency and receives echo signals, the received echo signals are subjected to signal processing links such as beam synthesis 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 does not perform real-time carotid artery ultrasound scanning, but reads the stored ultrasound image, 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 artery measurements invoked in three different imaging modes are listed below:

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

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

in step S420, carotid artery measurement items including at least one of intima-media thickness IMT (Intima Media Thickness) measurement item, plaque measurement item, pulse wave propagation speed PWV (Pulse Wave Velocity) item, strain analysis item, and tube diameter measurement item are displayed with the first recognition degree in the second preset display area.

In another embodiment, at least one of the film thickness IMT measurement term, plaque measurement term, pulse wave propagation velocity PWV term, strain analysis term, and tube diameter measurement term is displayed with a first degree of recognition, and the tube diameter measurement term is displayed with a second degree of recognition, wherein the second degree of recognition is higher than the first degree of recognition.

Referring to fig. 4, the imaging mode information is used to indicate to the user that the current imaging mode is the B-mode, and may be given by text or image, for example, characters such as "B" or "B-mode" may be displayed on the display screen, and these characters may have different fonts, font sizes, colors, and other display effects as required, or a corresponding picture (such as a button picture) may be directly called, where the picture may represent the B-mode on the display screen.

Different from the first preset display area for displaying the imaging mode information, the second preset display area of the display screen is used for displaying carotid artery measurement items corresponding to the B image mode, one or more carotid artery measurement items can be set and displayed according to the requirement, and the carotid artery measurement items are displayed in full. 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 are needed to be used for measurement. It should be noted that the carotid artery measurement item may be displayed in various forms, for example, in the form of a button, so that the user may click on the button to activate the corresponding measurement function, or may be displayed in a text or hyperlink manner, and jump to the corresponding measurement interface after being activated, which is not illustrated herein.

The carotid ultrasonic measurement can accurately measure the size of the pipe diameter in the B image mode, the pipe diameter measurement items are displayed in a second identification degree in each carotid artery measurement item displayed in a second preset display area, the second identification degree is more obvious relative to the first identification degree, and a user can be reminded to measure the size of the pipe diameter when carotid ultrasonic measurement is carried out. For example, when carotid measurements are displayed on the display screen in the form of buttons, the first distinction may be to indicate several buttons of the carotid measurement in a more general color (e.g., blue, shown in diagonal lines in fig. 4), while the caliber measurement is to indicate the corresponding buttons in a second distinction (e.g., bright yellow, shown in non-diagonal lines in fig. 4), then the user may be visually aware of the buttons of the caliber measurement, thereby alerting the user to the need to measure caliber.

Based on the above-described step S410 and step S420, for different carotid ultrasound images, in order to guide the user to measure some important measurements, it is necessary to display these important measurements more clearly to alert the user. For example, for a longitudinal ultrasound image of a CCA, the user needs to be guided to measure IMT. Then, referring to fig. 5, the specific implementation of the IMT measurement item displayed in step S420 is as follows:

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

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 can also be determined by receiving the section type input by a user.

It will be appreciated that the first and third degrees of recognition have different visual effects, and that the third degree of recognition may more clearly prompt the user 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 recognition may be to use a more common color (such as blue) to represent several buttons of the carotid artery measurement item, and when it is determined that the carotid artery position of the carotid artery ultrasound image is CCA and the section type is longitudinal section, the button (such as bright yellow) corresponding to the IMT measurement item is displayed in the third recognition, so that the user may clearly see the button of the IMT measurement item, thereby reminding the user that the IMT measurement is required.

Likewise, when plaque is present in the carotid ultrasound image, in order to guide the user in measuring plaque, it is necessary to display the plaque measurement item explicitly. Then, referring to fig. 6, the specific implementation of the plaque measurement item displayed in step S420 is as follows:

In step S422, when the plaque condition indicates that there is a plaque in the carotid ultrasound image, the plaque measurement item is displayed with a fourth resolution, which is higher than the first resolution.

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 input by a user can also be received for determination.

The first and fourth degrees of recognition have different visual effects, and the fourth degree of recognition can more clearly prompt the user than the first degree of recognition in order to draw the attention of the user to the plaque measurement items. The specific comparison between the fourth degree of identification and the first degree of identification may refer to the description of the comparison between the third degree of identification and the first degree of identification, and the description thereof will not be repeated here.

Both the section type and the spot condition of the above-described step S421 and step S422 may be manually input by the user, and the ultrasound imaging mode and the carotid artery position in the above-described step S200 may also be manually input by the user. In addition to the manual input of the index by the user, the embodiment of the invention also provides an intelligent analysis method based on an image recognition technology, which can automatically analyze the input carotid ultrasonic image to obtain one or more of an ultrasonic imaging mode, carotid artery position, section type and spot condition.

It is noted that, for the plaque measurement item, even if no plaque is automatically detected in the carotid ultrasound image, the plaque measurement item can be displayed at the first recognition because the automatic detection may have a problem of miscut, 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 by image recognition techniques to determine the slice type of the carotid ultrasound image may comprise the steps of:

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

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

acquiring first training data, wherein the first training data comprises a plurality of carotid ultrasound images and first labeling information corresponding to the carotid ultrasound images, and the first labeling information represents the section type of the current carotid ultrasound image;

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

The first labeling information can be marked by a user, and is specifically marked as a cross section or a longitudinal section; 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, errors between a prediction result and calibration are calculated, iteration is continued, the model gradually approaches, a classification model and classification accuracy thereof are finally obtained, and when the classification effect reaches the expectation (convergence evaluation of the classification model is carried out through a first loss function to reach the expected convergence), the classification model is reserved. When predicting, 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 the classification model, and a larger value is taken as the classification result of the image. The deep learning classification network may be untrained or pre-trained before the first training data is input to the deep learning classification network; in addition, the number of classification models may be one or more depending on the actual training requirements.

As another example, the analysis of the carotid ultrasound image by image recognition techniques to determine plaque condition of the carotid ultrasound image may comprise the steps of:

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

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

acquiring second training data, wherein the second training data comprises a plurality of carotid ultrasound images and second labeling information corresponding to the carotid ultrasound images, and the second labeling information comprises foreground region division and background region division of the carotid ultrasound images;

and inputting the second training data into the deep learning segmentation network for training, 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.

The second labeling information can be labeled by a user, and specifically, the labeling area on the carotid ultrasound image is as follows: marking the vascular region part as a foreground region and the non-vascular region part as a background region; in the training process, the second training data is put into a deep learning segmentation network for training, a typical segmentation network such as FCN (Fully Convolutional Networks), U-Net, mask RCNN (Regions with CNN features) and the like, then a series of operations such as convolution, pooling, deconvolution and the like are carried out in the network to obtain a Mask image with an original image scaled by a certain proportion, and a result with a pixel value greater than a certain threshold value (such as 0.5) in the image is used as a plaque area. The second training data may be either untrained or pre-trained before being input to the deep learning segmentation network.

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

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

in step S440, the carotid artery measurement item is displayed in the second preset display area with the first recognition degree, and 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. 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 key manner, or may be displayed in a text or hyperlink manner, 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 this carotid artery measurement item can be set to a high or low degree of identification according to the need, and if a plurality of carotid artery measurement items are provided in the C image mode, different degrees of identification need to be set according to whether some measurement items are highlighted or not.

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

Step S450, displaying imaging mode information in a text or an image in a first preset display area;

in step S460, the carotid artery measurement item is displayed in the second preset display area with the first recognition degree, where 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. For the carotid artery measurement corresponding to the PW image mode, the embodiment of the present invention includes two spectral analysis items and hemodynamic measurement items, respectively, where when the carotid artery measurement is not required to be highlighted, both the spectral analysis items and the hemodynamic measurement items are displayed with a first recognition degree, and when a carotid artery measurement item is required to be highlighted (taking the hemodynamic measurement item as an example), the recognition degree may be adjusted as follows with reference to fig. 9:

in step S461, the hemodynamic measurement is displayed with a fifth degree of identification, which is higher than the first degree of identification.

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

It should be noted that, in order to unify the display modes of carotid artery measurement items among the B image mode, the C image mode and the PW image mode, the third, fourth and fifth resolutions may be the same, and when a user measures different carotid artery ultrasound images, the user can see the uniformly divided identification cues, that is, the carotid artery measurement item that is commonly displayed is the first resolution, and the carotid artery measurement item that is highlighted is the third resolution.

On the other hand, the display screen interface can also put the corresponding carotid ultrasound image into a preset display area according to the identified different carotid artery positions. For example, the carotid artery position information corresponding to the carotid artery position is displayed in step S400 described above, and specifically, the carotid artery position information may be displayed by the following steps, referring to fig. 10:

step S470, scaling and displaying the carotid ultrasound image in a target image area, wherein the target image area has a corresponding relation with the carotid artery position;

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

Referring to fig. 11, four image frames at different positions are respectively divided for CCA, bulb, ICA and ECA on a display screen interface, and four target image areas are defined; when a certain carotid ultrasonic image is acquired, and the carotid artery position to which the carotid ultrasonic image belongs is identified as CCA, scaling the carotid ultrasonic image according to the size of a target image area corresponding to the CCA, displaying the carotid ultrasonic image in the target image area corresponding to the CCA, and simultaneously displaying the character of the CCA in the target image area.

It will be appreciated that when multiple carotid ultrasound images are imported and analyzed at a time, the carotid ultrasound images may be displayed to corresponding target image regions, respectively, based on the recognition of carotid artery location. For the case that a plurality of carotid ultrasound images belong to the same target image area, only one carotid ultrasound image is displayed in the current target image area, other carotid ultrasound images are to be displayed, the method can be designed to click the target image area, pop up a carotid ultrasound image selection interface, and after one carotid ultrasound image is selected by a user, the carotid ultrasound image selected by the user is displayed in the target image area in a switching manner.

The embodiment of the invention also has the function of automatically generating the report, specifically referring to fig. 12, the automatic generation of the report is realized by the following steps:

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

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 generating instruction can be triggered in two modes, wherein when a user considers that the measurement is finished, the report generating instruction can be manually input, and the ultrasonic equipment generates a structured report according to the data obtained by the measurement; in another way, the ultrasonic device automatically determines whether to generate a structured report according to the end of the measurement flow, and the time for triggering to generate the structured report is that one measurement function is ended or a plurality of measurement functions are ended, which means that the user has executed to complete the corresponding measurement work, so that the structured report can be automatically generated at this time.

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

Step S503, according to the preset measurement items and the preset format of the structured report, the measurement data are classified according to the preset measurement items, and are filled in the corresponding positions in the preset format.

The structured report is classified according to the measurement items, and the preset format is combined, 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 into 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, carotid ultrasound images related to the measurement data and evaluation of the measurement data can be added into the structured report to form a complete measurement report. Referring to fig. 14, the method can be specifically implemented by the following steps:

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

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

It can be understood that the preset evaluation standard can include corresponding thresholds of different carotid artery measurement items, whether the measured value exceeds a normal range can be obtained by comparing the measured value with the corresponding threshold according to the measured value in the measured data, and then the carotid artery ultrasonic measurement evaluation can be generated by combining with a preset language template. The above-mentioned method for generating carotid artery ultrasonic measurement evaluation is only one possible case, and the embodiment of the invention is not limited to a specific configuration of the preset evaluation standard, and a person skilled in the art can adjust the preset evaluation standard according to the measurement data case.

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

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

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

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

The above method for activating carotid artery measurement is merely illustrative, and different functional interfaces may be activated, corresponding prompt legends may be generated, etc. according to different measurement methods of different carotid artery measurement, which is not limited herein.

Referring to fig. 16, after the carotid artery measurement is activated, in order to show that the carotid artery measurement has been measured, it is required to display it as completed state in order for the user to distinguish several carotid artery measurement items on the display screen, which carotid artery measurement items have completed measurement, and which carotid artery 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 completed.

It will be appreciated that the completed state may be displayed in a different form, for example, based on the scheme that the carotid artery measurement item is displayed in the first identification, the carotid artery measurement item in the first identification is in the inactive state is displayed in a manner that when the carotid artery measurement item is activated and is completed, the first identification may be changed to a sixth identification, which is different from the first identification, the first identification may be higher than the sixth identification (for example, the first identification is blue and the sixth identification is gray), and the first identification may be lower than the sixth identification (for example, the first identification is blue and the sixth identification is red); for another example, the completed state is used as a label to be attached to the corresponding carotid artery measurement item (for example, the 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 carotid artery measurement item corresponding to the completed state is displayed in a hidden manner, which is also a display manner of the completed state. In summary, it is sufficient to display the carotid artery measurement item in a form different from the inactive carotid artery measurement item after the measurement is completed, which is by way of example only and not limitation to the specific form of "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 function interfaces to execute the wanted function, and on the other hand, the user is reminded to carry out measurement on important carotid artery measurement items, so that the working efficiency of carotid artery ultrasonic measurement by the user is improved.

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

an ultrasonic probe;

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

a display for displaying the ultrasound image and/or a measurement result based on the ultrasound image;

the processor is also used for executing the auxiliary method for carotid artery ultrasonic measurement.

The processing device of ultrasonic detection data is ultrasonic equipment in the embodiment, the ultrasonic equipment is arranged near a sickbed in some application scenes (such as an ICU ward, an operating room and the like), 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 echoes, the ultrasonic equipment is based on the auxiliary method of carotid artery ultrasonic measurement, a doctor analyzes the ultrasonic image to obtain a measurement result, or the ultrasonic equipment automatically analyzes the ultrasonic image to obtain the measurement result, then the ultrasonic image is combined with a historical measurement result of the patient to obtain a data set divided according to measurement items, and finally each measurement result belonging to the same measurement item is converted into a trend chart and displayed.

The embodiment of the invention also provides a processing device of ultrasonic detection data, which comprises at least one processor and a memory for communication 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 aforementioned auxiliary method of carotid artery ultrasound measurement.

Referring to fig. 17, the control processor 2001 and the memory 2002 in the processing device 2000 may be connected by a bus, for example. Memory 2002 is a non-transitory computer readable storage medium that can be used to store non-transitory software programs as well as non-transitory computer executable programs. In addition, 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, memory 2002 optionally includes memory remotely located relative to control processor 2001, which may be connected to 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.

It will be appreciated by those skilled in the art that the device structure shown in fig. 17 is not limiting of the processing device 2000 and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.

The embodiment of the present invention also provides a computer-readable storage medium storing computer-executable instructions that are executed by one or more control processors, for example, by one control processor 2001 in fig. 17, which may cause the one or more control processors to perform the auxiliary method in the above-described method embodiment, for example, to perform method steps S100 to S400 in fig. 2, method steps S410 to S420 in fig. 3, method steps S421 in fig. 5, method steps S422 in fig. 6, method steps S430 to S440 in fig. 7, method steps S450 to S460 in fig. 8, method steps S461 to S480 in fig. 9, method steps S501 to S502 in fig. 10, method steps S503 in fig. 13, method steps S504 to S505 in fig. 14, and method steps S601 to S602 in fig. 15, which are described above.

In the several embodiments provided in the present application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

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

While the preferred embodiments of the present application have been described in detail, the present application is not limited to the above embodiments, and various equivalent modifications and substitutions can be made by those skilled in the art without departing from the spirit and scope of the present application, and these equivalent modifications and substitutions are intended to be included in the scope of the present application as defined in the appended claims.

Claims

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

acquiring an ultrasonic image of the carotid artery;

2. The assist method for carotid artery ultrasonic measurement according to claim 1, wherein in the case where the ultrasonic imaging mode is a B-image mode, the displaying of imaging mode information corresponding to the ultrasonic imaging mode and the carotid artery measurement item includes:

displaying imaging mode information in a text or an image in a first preset display area;

displaying the carotid artery measurement item in a second preset display area, wherein the carotid artery measurement item comprises at least one of an intima media thickness IMT measurement item, a plaque measurement item, a pulse wave velocity PWV item, a strain analysis item and a tube diameter measurement item.

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

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

4. An auxiliary method for carotid artery ultrasound measurements as claimed in claim 3, wherein,

the auxiliary method further comprises the following steps:

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

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

5. The method of assisting carotid ultrasound measurements according to claim 4, wherein the analyzing the carotid ultrasound image by image recognition technique to determine a slice type of the carotid ultrasound image comprises:

Inputting the carotid ultrasound image into a trained deep learning classification network to obtain a section type of the carotid ultrasound image;

the training-completed deep learning classification network is obtained by training in the following way:

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 is completed, and the first loss function is used for judging the convergence degree of the classification model training.

6. An auxiliary method for carotid artery ultrasound measurements as claimed in claim 3, wherein,

the auxiliary method further comprises the following steps:

analyzing the carotid ultrasound image by an image recognition technique to determine plaque condition of the carotid ultrasound image or to receive plaque condition of the carotid ultrasound image input by a user;

and when the plaque condition indicates that the plaque exists in the carotid ultrasound 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 according to claim 6, wherein said analyzing the carotid ultrasound image by image recognition technique to determine plaque condition of the carotid ultrasound image comprises:

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

and inputting the 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 degree of the deep learning segmentation network training.

8. The assist method for carotid artery ultrasonic measurement according to claim 1, wherein in the case where the ultrasonic imaging mode is a C-image mode, the displaying of imaging mode information corresponding to the ultrasonic imaging mode and the carotid artery measurement item includes:

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

9. An assisting method for carotid artery ultrasound measurement according to claim 1, wherein, in the case where the ultrasound imaging mode is PW image mode, the displaying imaging mode information corresponding to the ultrasound imaging mode and the carotid artery measurement item comprises:

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

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

and displaying the frequency spectrum analysis item in the second preset display area with a first identification degree, 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 of assisting carotid artery ultrasound measurement according to claim 1, wherein the displaying carotid artery position information corresponding to the carotid artery position comprises:

Scaling and displaying the carotid ultrasound image in a target image area, wherein the target image area has a corresponding relation with the carotid artery position;

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

12. An assisted method for carotid ultrasound measurement according to claim 1, wherein the ultrasound imaging modality and carotid artery position are determined by image recognition techniques analyzing the carotid ultrasound image or are derived from user input.

13. The method according to claim 1, wherein the carotid ultrasound image is scanned in real time by an ultrasound probe or read from a memory.

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

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

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

15. The method for 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 ultrasonic measurement evaluation, and attaching the carotid ultrasonic measurement evaluation to the structural report.

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

receiving an activation instruction of the carotid artery measurement item;

and activating the measuring function corresponding to the carotid artery measuring item according to the activating instruction.

17. The method for 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 the method of assisting carotid artery ultrasound measurements as defined in any one of the preceding claims 1 to 17.