阅读说明：本技术 一种基于人工智能的颈动脉斑块探测仪及评估方法 (Carotid plaque detector based on artificial intelligence and evaluation method ) 是由 张红珍 杨少玲 刘翔 赵坤 王凤翎 于 2021-07-14 设计创作，主要内容包括：本发明公开了一种基于人工智能的颈动脉斑块探测仪及评估方法,包括安装座和智能分析诊断仪以及四个步骤,安装座用于对智能分析诊断仪进行固定支撑,智能分析诊断仪固定安装在安装座上；本方案,通过深度学习的智能分析诊断仪,能够将智能分析诊断仪运用于颈动脉超声检查或颈动脉超声体检中,用于快速诊断颈动脉易损斑块,并且评估斑块的易损性,该基于人工智能的颈动脉斑块探测仪,可提高相对落后基层医疗单位的诊疗水平,平衡医疗资源,及时有效的为临床预警患者脑卒中的可能性,减低致死率和致残率,该基于人工智能的颈动脉斑块探测仪配备了导航系统,可精准定位指导临床医师进行颈动脉内膜剥脱术的治疗,减少患者不必要的损伤及并发症。(The invention discloses a carotid plaque detecting instrument and an evaluation method based on artificial intelligence, which comprises a mounting seat, an intelligent analysis and diagnosis instrument and four steps, wherein the mounting seat is used for fixedly supporting the intelligent analysis and diagnosis instrument, and the intelligent analysis and diagnosis instrument is fixedly arranged on the mounting seat; this scheme, intelligent analysis diagnostic instrument through degree of depth study, can apply to intelligent analysis diagnostic instrument in carotid ultrasonic examination or carotid ultrasonic physical examination, be used for diagnosing the vulnerable plaque of carotid fast, and assess the vulnerability of plaque, this carotid plaque detection instrument based on artificial intelligence, can improve the level of diagnosing of relative laggard primary medical unit, balance medical resources, in time effectual for clinical early warning patient's cerebral apoplexy's possibility, reduce lethality rate and disability rate, this carotid plaque detection instrument based on artificial intelligence has been equipped with navigation, can accurate location guide clinician to carry out the treatment of carotid intimal stripping, reduce patient unnecessary damage and complication.)

1. A carotid plaque detection instrument based on artificial intelligence, comprising: the device comprises a mounting seat (1) and an intelligent analysis diagnostic apparatus (2);

the mounting seat (1) is used for fixedly supporting the intelligent analysis diagnostic apparatus (2);

the intelligent analysis and diagnosis instrument (2) is fixedly installed on the installation seat (1), and the intelligent analysis and diagnosis instrument (2) is used for quickly diagnosing carotid vulnerable plaque and evaluating the vulnerability of the plaque.

2. The carotid plaque detection instrument based on artificial intelligence of claim 1, characterized by: intelligent analysis diagnostic equipment (2) include shell (21), stereo set (26) and display screen (28), shell (21) fixed mounting is at the top of mount pad (1), display screen (28) are inlayed and are established the front side of installing at shell (21), stereo set (26) fixed mounting is in one side of shell (21), the one end that stereo set (26) are close to shell (21) stretches into shell (21).

3. The carotid plaque detection instrument based on artificial intelligence of claim 2, characterized by: the utility model discloses a PCB (printed circuit board) and signal processor, including shell (21), the inner chamber fixed mounting of shell (21) has PCB base plate (22), the front side fixed mounting of PCB base plate (22) has signal processor (24), central processing unit (25) and accumulator (27), central processing unit (25) are located the middle part of PCB base plate (22), signal processor (24) are located one side of central processing unit (25), accumulator (27) are located the bottom of central processing unit (25).

4. The carotid plaque detection instrument based on artificial intelligence of claim 3, characterized by: and an interface (23) is fixedly arranged on one side of the PCB substrate (22).

5. The carotid plaque detection instrument based on artificial intelligence of claim 3, characterized by: the electrical input end of the display screen (28) is electrically connected with the electrical output end of the central processing unit (25), and the electrical input end of the sound box (26) is electrically connected with the electrical output end of the central processing unit (25).

6. The carotid plaque detection instrument based on artificial intelligence of claim 5, characterized by: the electrical output end of the signal processor (24) is electrically connected with the electrical input end of the central processing unit (25), and the electrical end of the storage (27) is electrically connected with the electrical end of the central processing unit (25) in a bidirectional manner.

7. The carotid plaque detection instrument based on artificial intelligence of claim 6, characterized by: the electrical input end of the signal processor (24) is electrically connected with the electrical output end of the interface (23).

8. The carotid plaque detection instrument based on artificial intelligence of claim 1, characterized by: a convolutional neural network deep learning intelligent diagnosis system is installed in the storage (27).

9. A method for assessing vulnerability of carotid plaque, comprising: use of the artificial intelligence based carotid plaque detector according to any of claims 1-8 to assess the vulnerability of carotid plaque by the following steps:

s1, connecting the carotid plaque evaluation system with the B-ultrasonic machine through a lead by the interface (23), and then starting the B-ultrasonic machine;

s2, collecting ultrasonic data of the B ultrasonic machine, transmitting the ultrasonic data to the signal processor (24), converting the data into digital signals by the signal processor (24), then transmitting the digital signals to the central processing unit (25), converting the digital signals into video signals after being processed by the central processing unit (25), and transmitting the video signals to the display screen (28) for displaying;

s3, calling the convolutional neural network deep learning intelligent diagnosis system installed in the storage (27) through the central processing unit (25) to analyze, diagnose, classify and early warn the video signal in S3, and then transmitting the processing result to the display screen (28) through the central processing unit (25) for reference prompt;

and S4, starting a navigation system to guide the surgeon to perform accurate positioning operation.

10. The method of claim 9, wherein the method comprises: navigation among S4 includes drive platform and installs the laser positioning lamp at the drive platform top, the last horizontal drive track and the vertical drive track of being provided with of drive platform, the laser positioning lamp sets up at the drive platform top perpendicularly, the electrical property input of drive platform and laser positioning lamp all with central processing unit (25) electrical property output electric connection.

Technical Field

The invention relates to the technical field of medical treatment, in particular to a carotid plaque detector and an evaluation method based on artificial intelligence.

Background

Carotid plaque is a manifestation of carotid atherosclerosis, is well developed at the bifurcation of common carotid artery, and is considered to be closely related to the occurrence of cerebral ischemic stroke of old people at present. The mechanism of the cerebral arterial thrombosis can be as follows: plaque augmentation is approximate carotid stenosis causing intracranial hypoperfusion and plaque sloughing off forming emboli, leading to intracranial arterial embolism. Clinically, carotid plaque is evaluated by morphological measurement of the stenosis degree and plaque of carotid artery, and the hazard thereof is judged.

The convolutional neural network is a feedforward neural network which comprises convolutional calculation and has a deep structure, and is one of representative algorithms of deep learning. Convolutional neural networks have a characteristic learning ability, and can perform translation invariant classification on input information according to a hierarchical structure thereof, and are also called "translation invariant artificial neural networks". The convolutional neural network is constructed by imitating a visual perception mechanism of a living being, and can be used for supervised learning and unsupervised learning, and the parameter sharing of convolution kernels in hidden layers and the sparsity of interlayer connection enable the convolutional neural network to learn lattice characteristics such as pixels and audio with small calculation amount, have stable effect and have no additional characteristic engineering requirement on data.

The existing carotid plaque evaluation system and evaluation method have the defects of low diagnosis speed and insufficient accuracy, and meanwhile, the vulnerability of the plaque cannot be evaluated, the size, the shape, the echo distribution and the position of the plaque cannot be determined, and the plaque cannot be accurately positioned in a targeted manner.

Disclosure of Invention

The invention aims to provide a carotid plaque detector and an evaluation method based on artificial intelligence, so as to solve the problems in the background technology.

In order to achieve the purpose, the invention provides the following technical scheme: an artificial intelligence based carotid plaque detection instrument comprising: the device comprises a mounting seat and an intelligent analysis diagnostic instrument;

the mounting seat is used for fixedly supporting the intelligent analysis diagnostic instrument;

the intelligent analysis and diagnosis instrument is fixedly installed on the installation seat and used for quickly diagnosing carotid vulnerable plaque and evaluating vulnerability of the plaque.

By adopting the technical scheme, the artificial intelligent diagnostic instrument is applied to carotid ultrasonic examination or carotid ultrasonic examination for quickly diagnosing the vulnerable plaque of the carotid and evaluating the vulnerability of the plaque.

Preferably, the intelligent analysis diagnostic apparatus includes shell, stereo set and display screen, shell fixed mounting is at the top of mount pad, the display screen inlays to establish the front side of installing at the shell, stereo set fixed mounting is in one side of shell, the one end that the stereo set is close to the shell stretches into the shell.

By adopting the technical scheme, the display screen is used for displaying the size, the shape, the echo distribution and the position of the carotid plaque, and the sound is used for voice alarm.

Preferably, the inner chamber fixed mounting of shell has the PCB base plate, the front side fixed mounting of PCB base plate has signal processor, central processing unit and accumulator, central processing unit is located the middle part of PCB base plate, signal processor is located one side of central processing unit, the accumulator is located central processing unit's bottom.

By adopting the technical scheme, the storage is used for bearing the convolutional neural network deep learning intelligent diagnosis system, the central processing unit is used for processing data and sending control commands, and the signal processor is used for converting ultrasonic signals into digital signals.

Preferably, an interface is fixedly mounted on one side of the PCB substrate.

By adopting the technical scheme, the interface is used for being electrically connected with the B-ultrasonic machine.

Preferably, the electrical input end of the display screen is electrically connected with the electrical output end of the central processing unit, and the electrical input end of the sound box is electrically connected with the electrical output end of the central processing unit.

Preferably, the electrical output end of the signal processor is electrically connected to the electrical input end of the central processing unit, and the electrical end of the storage is electrically connected to the electrical end of the central processing unit in a bidirectional manner.

Preferably, the electrical input end of the signal processor is electrically connected with the electrical output end of the interface.

Preferably, a convolutional neural network deep learning intelligent diagnosis system is installed in the storage.

The invention also provides a vulnerability assessment method of carotid plaque, which utilizes any one of the carotid plaque detection instruments based on artificial intelligence to assess the vulnerability of carotid plaque, and comprises the following steps:

s1, connecting the carotid plaque evaluation system with a B-ultrasonic machine through a lead by an interface, and then starting the B-ultrasonic machine;

s2, collecting ultrasonic data of the B ultrasonic machine, transmitting the ultrasonic data to a signal processor, converting the data into digital signals by the signal processor, transmitting the digital signals to a central processing unit, converting the digital signals into video signals after the digital signals are processed by the central processing unit, and transmitting the video signals to a display screen for displaying;

s3, calling the convolutional neural network deep learning intelligent diagnosis system installed in the storage through the central processing unit to analyze, diagnose, classify and early warn the video signal in S3, and then transmitting the processing result to the display screen for reference prompt through the central processing unit;

and S4, starting a navigation system to guide the surgeon to perform accurate positioning operation.

Preferably, navigation among S4 includes drive platform and installs the laser positioning lamp at the drive platform top, the last horizontal drive track and the vertical drive track of being provided with of drive platform, the laser positioning lamp sets up at the drive platform top perpendicularly, the electric property input of drive platform and laser positioning lamp all with central processing unit' S electric property output electric connection.

Compared with the prior art, the invention has the beneficial effects that:

the carotid plaque detecting instrument based on artificial intelligence can improve the diagnosis level of relatively laggard primary medical units, balance medical resources, timely and effectively warn the possibility of cerebral apoplexy of patients clinically and reduce the fatality rate and disability rate, and is provided with a navigation system which can accurately position and guide clinicians to treat carotid intimal exfoliation and reduce unnecessary injuries and complications of the patients.

Drawings

FIG. 1 is a schematic structural diagram of an intelligent analyzer according to the present invention;

FIG. 2 is a schematic cross-sectional view of the intelligent analyzer of the present invention;

FIG. 3 is a schematic diagram of the system of the present invention;

FIG. 4 is a flow chart of the method of the present invention.

In the figure: 1. a mounting seat; 2. an intelligent analysis diagnostic instrument; 21. a housing; 22. a PCB substrate; 23. an interface; 24. a signal processor; 25. a central processing unit; 26. sounding; 27. a reservoir; 28. a display screen.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1-4, the present invention provides a technical solution:

as shown in fig. 1 and 2, an artificial intelligence based carotid plaque detection instrument and evaluation method includes: the device comprises a mounting seat 1 and an intelligent analysis diagnostic apparatus 2;

the mounting seat 1 is used for fixedly supporting the intelligent analysis diagnostic apparatus 2;

the intelligent analysis and diagnosis instrument 2 is fixedly installed on the installation seat 1, and the intelligent analysis and diagnosis instrument 2 is used for quickly diagnosing carotid vulnerable plaque and evaluating vulnerability of the plaque.

The artificial intelligent diagnostic instrument is applied to carotid ultrasonic examination or carotid ultrasonic examination for quickly diagnosing the vulnerable plaque of the carotid artery and evaluating the vulnerability of the plaque.

Specifically, intelligent analysis diagnostic apparatus 2 includes shell 21, stereo set 26 and display screen 28, shell 21 fixed mounting is at the top of mount pad 1, display screen 28 inlays to establish the front side of installing at shell 21, stereo set 26 fixed mounting is in one side of shell 21, the one end that stereo set 26 is close to shell 21 stretches into shell 21, the electrical input of display screen 28 and central processing unit 25's electrical output end electric connection, the electrical input of stereo set 26 and central processing unit 25's electrical output end electric connection, display screen 28 is used for showing carotid artery plaque's size, the shape, echo distribution and position, stereo set 26 is used for audio alert.

Specifically, a PCB substrate 22 is fixedly installed in the inner cavity of the housing 21, a signal processor 24 is fixedly installed at the front side of the PCB substrate 22, the convolutional neural network deep learning intelligent diagnosis system comprises a central processing unit 25 and a storage 27, wherein the storage 27 is internally provided with the convolutional neural network deep learning intelligent diagnosis system, the model of the central processing unit 25 is AMD-R7-5800X, the central processing unit 25 is positioned in the middle of a PCB substrate 22, a signal processor 24 is positioned at one side of the central processing unit 25, the storage 27 is positioned at the bottom of the central processing unit 25, an electrical output end of the signal processor 24 is electrically connected with an electrical input end of the central processing unit 25, an electrical end of the storage 27 is electrically connected with an electrical end of the central processing unit 25 in a bidirectional mode, the storage 27 is used for bearing the convolutional neural network deep learning intelligent diagnosis system, the central processing unit 25 is used for processing data and sending control commands, and the signal processor 24 is used for converting ultrasonic signals into digital signals.

Specifically, an interface 23 is fixedly mounted on one side of the PCB substrate 22, an electrical input end of the signal processor 24 is electrically connected with an electrical output end of the interface 23, and the interface 23 is used for electrically connecting with the B-ultrasonic machine.

The invention also provides a vulnerability assessment method of carotid plaque, which utilizes any one of the carotid plaque detection instruments based on artificial intelligence to assess the vulnerability of carotid plaque, and comprises the following specific steps:

s1, connecting the carotid plaque evaluation system with the B-ultrasonic machine through the interface 23 by a lead, and then starting the B-ultrasonic machine;

s2, collecting ultrasonic data of the B ultrasonic machine, transmitting the ultrasonic data to the signal processor 24, converting the data into digital signals by the signal processor 24, then transmitting the digital signals to the central processor 25, converting the digital signals into video signals after being processed by the central processor 25, and transmitting the video signals to the display screen 28 for displaying;

s3, calling the convolutional neural network deep learning intelligent diagnosis system installed in the storage 27 through the central processing unit 25 to analyze, diagnose, classify and early warn the video signal in S3, and then transmitting the processing result to the display screen 28 for reference prompt through the central processing unit 25;

and S4, starting a navigation system to guide the surgeon to perform accurate positioning operation.

The navigation system in S4 includes drive platform and installs the laser positioning lamp at the drive platform top, is provided with horizontal drive track and vertical drive track on the drive platform, and the laser positioning lamp sets up perpendicularly at the drive platform top, and the electrical property input of drive platform and laser positioning lamp all is connected with central processing unit 25' S electrical property output.

To sum up, through intelligent analysis diagnostic apparatus 2 of degree of depth study, can apply to intelligent analysis diagnostic apparatus 2 in carotid ultrasonic examination or carotid ultrasonic physical examination, be used for diagnosing the vulnerable plaque of carotid fast, and assess the vulnerability of plaque, this carotid plaque detection instrument based on artificial intelligence, can improve the diagnosis and treatment level behind basic medical unit relatively, balance medical resources, in time effectual for clinical early warning patient's cerebral apoplexy's possibility, reduce lethality rate and disability rate, this carotid plaque detection instrument based on artificial intelligence has been equipped with navigation, can pinpoint and guide clinician to carry out the treatment of carotid intimal stripping operation, reduce patient unnecessary damage and complication.

The parts not involved in the present invention are the same as or can be implemented by the prior art. Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.