Blood vessel internal state ultrasonic remote monitoring system and monitoring method
By acquiring and analyzing the filling state data, combining ultrasonic reflection signals, dynamically adjusting the ultrasonic beam, the problem of inaccurate acquisition of pressure values at the stenosis position in the internal state of the cerebrovascular system is solved, and more accurate cerebrovascular status evaluation and monitoring is achieved.
Patent Information
- Application Number
- CN202510698097.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-28
- Publication Date
- 2025-07-08
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the process of remote monitoring of internal states of cerebrovascular vessels, the accuracy of obtaining pressure values at the stenosis position of dilated artery is not high, especially in complex anatomical structures, which leads to inaccurate monitoring results.
By acquiring the filling state data and performing analysis, we can determine whether to obtain the ultrasonic signal image of the blood vessels, combine it with ultrasonic reflected signal analysis, dynamic adjustment and monitoring, and use the filling state data evaluation module, ultrasonic signal analysis module and internal state data analysis module to correct the ultrasonic beam in real time to improve monitoring accuracy.
Effective monitoring and accurate evaluation of internal cerebrovascular status is achieved, the accuracy of obtaining pressure values at the stenosis position of dilated artery is improved, patient management is optimized, image acquisition quality is ensured and patient discomfort is reduced.
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Figure CN120267332A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of digital data processing, and particularly to an intravascular state ultrasonic remote monitoring system and a monitoring method. Background Art
[0002] With the continuous progress of medical technology and the increasing demand for health monitoring, intravascular ultrasound (IVUS) technology has emerged in the diagnosis and treatment of cardiovascular diseases with its unique advantages. The IVUS technology can obtain fine cross-sectional images of blood vessels in real time through a miniature ultrasonic probe at the tip of a cardiac catheter, clearly showing detailed information such as the thickness of the wall structure, the size and shape of the lumen, etc. However, traditional IVUS technology usually requires professional physicians to operate and analyze in the hospital, which limits its wide application and the development of telemedicine. To overcome this limitation, an intravascular ultrasound remote monitoring system and a monitoring method have emerged, realizing real-time monitoring and remote management of the internal state of patients' blood vessels.
[0003] The existing technology scans the inside of blood vessels using an ultrasonic imaging device to obtain parameters such as the thickness of the blood vessel wall, blood flow velocity, and blood vessel inner diameter, and then transmits the collected ultrasonic images and data to a remote server through wireless communication technology. Finally, professional medical image processing software and algorithms are used to analyze the received ultrasonic images and data to evaluate the health status of blood vessels.
[0004] For example, the invention patent announcement No. CN116612899B discloses an Internet-based cardiovascular surgery data processing method and service platform, including: obtaining first cardiovascular surgery data; performing feature extraction on the first cardiovascular surgery data, performing rule screening on user service feature data to generate second cardiovascular surgery data; performing interactive visualization processing on the second cardiovascular surgery data to generate an interactive view of cardiovascular surgery data; performing visual projection on the interactive view of cardiovascular surgery data to generate a feature matrix projection map of cardiovascular surgery data.
[0005] For example, the patent application publication No. CN118468127A discloses a method and system for evaluating neurovascular function based on deep learning, including: preprocessing key functions of neurovascular based on multiple physiological parameters to obtain processed data; using the processed data as embedded representation features, and performing deep training on the embedded representation features using a deep clustering algorithm to classify different states of neurovascular function and improve the evaluation accuracy.
[0006] However, in the process of implementing the technical solutions of the embodiments of the present application, it is found that the above technologies have at least the following technical problems:
[0007] In the prior art, in a complex and delicate anatomical structure such as the cerebral blood vessels, the ultrasonic beam of the intravascular ultrasound catheter needs to be corrected in real time according to the real-time change of the incident angle of the blood vessel wall. However, other factors interfering with the real-time correction process, such as the contact state between the catheter and the blood vessel wall, are not fully considered in the prior art, so that the monitored ultrasonic images and data may not fully reflect the internal state of the cerebral blood vessels, resulting in a decrease in the accuracy of the dilation state assessment and the problem of low accuracy in obtaining the pressure value at the stenosis position of the dilated artery during the process of remotely monitoring the internal state of the cerebral blood vessels. Summary of the Invention
[0008] By providing an ultrasonic remote monitoring system and method for the internal state of blood vessels, the embodiments of the present application solve the problem of low accuracy in obtaining the pressure value at the stenosis position of the dilated artery during the process of remotely monitoring the internal state of the cerebral blood vessels in the prior art, and achieve an improvement in the accuracy of obtaining the pressure value at the stenosis position of the dilated artery.
[0009] The embodiments of the present application provide an ultrasonic remote monitoring system for the internal state of blood vessels, including: a filling state data evaluation module, an ultrasonic signal analysis module, and an internal state data analysis module; wherein, the filling state data evaluation module is used to obtain filling state data and analyze it to judge whether to obtain an ultrasonic signal image of the internal state of the blood vessel; the ultrasonic signal analysis module is used to analyze the ultrasonic reflection signal according to the obtained ultrasonic signal image of the internal state of the blood vessel to judge whether to generate internal state data; the internal state data analysis module is used to analyze the obtained internal state data for dynamic adjustment and monitoring.
[0010] The embodiments of the present application provide an ultrasonic remote monitoring method for the internal state of blood vessels, including the following steps: Step 1, obtain filling state data and analyze it to judge whether to obtain an ultrasonic signal image of the internal state of the blood vessel; Step 2, analyze the ultrasonic reflection signal according to the obtained ultrasonic signal image of the internal state of the blood vessel to judge whether to generate internal state data; Step 3, analyze the obtained internal state data for dynamic adjustment and monitoring.
[0011] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
[0012] 1. By acquiring and analyzing the filling state data to determine whether to obtain the intravascular ultrasound signal image, then analyzing the ultrasonic reflection signal based on the acquired intravascular ultrasound signal image to determine whether to generate the internal state data, and finally analyzing the acquired internal state data for dynamic adjustment and monitoring, the effective monitoring and accurate evaluation of the internal state data of the cerebral blood vessels are realized. Furthermore, the accuracy of obtaining the pressure value at the stenotic position of the dilated artery is improved, effectively solving the problem of low accuracy in obtaining the pressure value at the stenotic position of the dilated artery during the remote monitoring of the internal state of the cerebral blood vessels in the prior art.
[0013] 2. When the real-time monitored blood flow velocity is greater than the reference blood flow velocity in the database, by real-time monitoring the filling rate, filling pressure and vascular wall curvature of the cerebral blood vessels in the target vascular region within a specified unit time, and simultaneously combining the reference filling state data and the filling state weight factor in the database to obtain the filling state evaluation value, the accuracy of obtaining the filling state evaluation value is improved. Furthermore, a more accurate evaluation of the filling state of the cerebral blood vessels in the target vascular region is realized.
[0014] 3. By acquiring the change amplitude of the blood flow velocity in the corresponding cerebral blood vessels of the filling channel within a specified unit time, and simultaneously acquiring the ultrasonic signal parameters, and performing coupling processing based on the acquired first dilation state evaluation value, second dilation state evaluation value and third dilation state evaluation value to obtain the dilation state evaluation value, the accuracy of obtaining the dilation state evaluation value is improved, which helps to more comprehensively reflect the dilation state of the cerebral blood vessels. Furthermore, the accuracy and reliability of the evaluation of the dilation state of the cerebral blood vessels are improved.
[0015] 4. Through the filling state data evaluation module, the filling state data of the blood vessels can be accurately acquired and analyzed to determine whether a clear image inside the blood vessels can be successfully obtained. Secondly, the ultrasonic signal analysis module not only relies on the intravascular ultrasound signal image, but also deeply analyzes the ultrasonic reflection signal, so as to be able to judge whether comprehensive and accurate internal state data can be generated. In addition, the internal state data analysis module accurately evaluates the dynamic adjustment process of the stenotic position of the artery based on the internal state data, realizing the accurate and remote monitoring of the internal state of the blood vessels. Furthermore, a more accurate and effective evaluation of the internal state of the cerebral blood vessels in the target vascular region is realized. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 It is a schematic structural diagram of an intravascular state ultrasonic remote monitoring system provided by an embodiment of the present application;
[0017] Figure 2 It is a flowchart of an intravascular state ultrasonic remote monitoring method provided by an embodiment of the present application;
[0018] Figure 3Schematic diagram of the miniaturized ultrasonic probe of the intravascular ultrasound catheter provided by the embodiment of the present application for imaging in the cerebral blood vessel;
[0019] Figure 4 Schematic structural diagram of the intravascular ultrasound catheter provided by the embodiment of the present application, numbered as outer tube 1, filling channel 2, balloon 3, ultrasonic transducer 4, and transducer adjustment device 5 respectively;
[0020] Figure 5 Schematic diagram of the end face of the outer tube provided by the embodiment of the present application, numbered as outer tube end face 6, noise reduction channel 7, and ultrasonic transducer channel 8 respectively. Detailed implementation manners
[0021] By providing an intravascular ultrasound remote monitoring system and a monitoring method for the internal state of blood vessels in the embodiment of the present application, the problem that the accuracy of obtaining the pressure value at the stenosis position of the dilated artery is not high in the process of remotely monitoring the internal state of the cerebral blood vessel in the prior art is solved, and the accuracy of obtaining the pressure value at the stenosis position of the dilated artery is improved.
[0022] The technical solution in the embodiment of the present application for solving the problem that the accuracy of obtaining the pressure value at the stenosis position of the dilated artery is not high in the process of remotely monitoring the internal state of the cerebral blood vessel is generally as follows:
[0023] By obtaining the filling state data and analyzing it to determine whether to obtain the intravascular ultrasound signal image, then analyzing the ultrasonic reflection signal according to the obtained intravascular ultrasound signal image to determine whether to generate the internal state data, and finally analyzing the obtained internal state data for dynamic adjustment and monitoring, the effect of improving the accuracy of obtaining the pressure value at the stenosis position of the dilated artery is achieved.
[0024] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.
[0025] As Figure 1 shown, it is a schematic structural diagram of an intravascular ultrasound remote monitoring system for the internal state of blood vessels provided by the embodiment of the present application. An intravascular ultrasound remote monitoring system for the internal state of blood vessels provided by the embodiment of the present application includes: a filling state data evaluation module, an ultrasonic signal analysis module, and an internal state data analysis module; wherein, the filling state data evaluation module is used to obtain the filling state data and analyze it to determine whether to obtain the intravascular ultrasound signal image; the ultrasonic signal analysis module is used to analyze the ultrasonic reflection signal according to the obtained intravascular ultrasound signal image to determine whether to generate the internal state data; the internal state data analysis module is used to analyze the obtained internal state data for dynamic adjustment and monitoring.
[0026] Among them, the filling state data includes the initial filling volume, filling rate, filling pressure, blood flow velocity, and blood vessel wall curvature, and the internal state data includes blood flow velocity, blood vessel wall thickness, and balloon dilation pressure.
[0027] In this embodiment, both the filling state data and the internal state data are obtained by real-time monitoring of the micro ultrasonic probe of the intravascular ultrasound catheter. The ultrasonic reflection signal represents the echo reflection signal obtained by the ultrasonic wave emitted by the ultrasonic transducer in the intravascular ultrasound catheter reflecting on different layers of tissues of the blood vessel wall. Ultrasonic waves are emitted by the ultrasonic transducer and reflected to form echoes at various tissue structures of the blood vessel. The controller host processes the generated echoes to obtain the intravascular ultrasound signal image and visualizes it through a display.
[0028] Specifically, the intravascular ultrasound catheter, the controller host, and the display are the three main components of the ultrasonic imaging device. The intravascular ultrasound catheter is connected to the controller host through a cable to transmit the ultrasonic reflection signal received by the micro ultrasonic probe. The controller host processes these signals and generates the intravascular ultrasound signal image. The display receives and displays the intravascular ultrasound signal image transmitted by the controller host.
[0029] The intravascular ultrasound catheter is a slender tubular structure. One end of it is connected to the controller host, and the other end (i.e., the ultrasonic probe end) is equipped with a micro ultrasonic probe. The micro ultrasonic probe is located at the end of the intravascular ultrasound catheter and serves as the device for emitting and receiving ultrasonic waves. The controller host is a rectangular box connected to the intravascular ultrasound catheter through a cable. The controller host usually contains various interfaces and buttons for controlling the ultrasonic imaging process. The display is connected to the controller host through a video cable or wirelessly and is used to display the intravascular ultrasound signal image processed by the controller host.
[0030] In a specific application scenario, the patient monitors the internal state of the blood vessel at home or in a nearby medical institution through a device that connects the intravascular ultrasound catheter and the controller host. By real-time monitoring the internal state of the patient's blood vessel, and at the same time accurately obtaining the filling state data and the internal state data through the micro ultrasonic probe in the intravascular ultrasound catheter and transmitting them to the remote control center in real time, the patient's attending physician can remotely view and analyze the data in real time through the display, and can more accurately judge the location, degree, and pressure value of arterial stenosis.
[0031] In summary, the intravascular state ultrasonic remote monitoring system provided by this application has significant beneficial effects for realizing the remote and effective monitoring of the internal state of the patient's cerebrovascular. It not only improves the real-time performance and accuracy of monitoring, but also optimizes patient management, thereby achieving an improvement in the accuracy of obtaining the pressure value at the location of the dilated arterial stenosis.
[0032] Further, the specific steps for obtaining and analyzing the filling state data include: when the real-time monitored blood flow velocity is greater than the reference blood flow velocity in the database, it is determined that the blood vessel wall is stenosed and a first warning is issued; otherwise, the difference degree between the obtained blood flow velocity and the reference blood flow velocity in the database is corrected by a blood flow velocity weight factor to obtain a first filling state evaluation value; A2, coupling the obtained first filling state evaluation value, second filling state evaluation value, third filling state evaluation value, and fourth filling state evaluation value to obtain a filling state evaluation value; the first warning indicates the filling state warning corresponding to the cerebrovascular filling state that does not meet the expected requirements caused by the blood flow velocity; the second filling state evaluation value represents the result of correcting the difference degree between the obtained filling rate and the reference filling rate in the database by a filling rate weight factor; the third filling state evaluation value represents the result of correcting the difference degree between the obtained filling pressure and the reference filling pressure in the database by a filling pressure weight factor; the fourth filling state evaluation value represents the result of correcting the difference degree between the obtained blood vessel wall curvature and the reference blood vessel wall curvature in the database by a blood vessel wall curvature weight factor; the filling state evaluation value represents the quantitative data of the influence degree of blood flow velocity, filling rate, filling pressure, and blood vessel wall curvature on the cerebrovascular filling state.
[0033] Among them, when the blood flow velocity is not greater than the reference blood flow velocity in the database, the specific limiting expression of the filling state evaluation value is:
[0034]
[0035] In the formula, CT represents the filling state evaluation value of the cerebrovascular in the target blood vessel area within a specified unit time, δ1 represents the blood flow velocity weight factor, S1 represents the blood flow velocity of the cerebrovascular in the target blood vessel area within the corresponding specified unit time, S0 represents the reference blood flow velocity, δ2 represents the filling rate weight factor, P1 represents the filling rate of the cerebrovascular in the target blood vessel area within the corresponding specified unit time, P0 represents the reference filling rate, δ3 represents the filling pressure weight factor, Q1 represents the filling pressure of the cerebrovascular in the target blood vessel area within the specified unit time, Q0 represents the reference filling pressure, δ4 represents the blood vessel wall curvature weight factor, L1 represents the blood vessel wall curvature of the cerebrovascular in the target blood vessel area within the specified unit time, and L0 represents the reference blood vessel wall curvature.
[0036] In this embodiment, each independent variable in the specific limiting expression of the filling state evaluation value is obtained within the same specific and unified specified unit time, and the specified unit time in this application is within 1 second; the unit of the blood flow velocity and the reference blood flow velocity is the same, both are centimeters per second (cm / s), the unit of the filling rate and the reference filling rate is the same, both are milliliters per second (ml / s), the unit of the filling pressure and the reference filling pressure is the same, both are millimeters of mercury (mmHg), and the unit of the blood vessel wall curvature and the reference blood vessel wall curvature is the same, both are 1 / meter or radian (1 / m or rad), where the blood vessel wall curvature is obtained by real-time monitoring of the micro ultrasonic probe of the intravascular ultrasound catheter.
[0037] The reference blood flow velocity, the reference filling rate, the reference filling pressure, and the reference blood vessel wall curvature are respectively represented by the results of summing and averaging the historical blood flow velocity, the historical filling rate, the historical filling pressure, and the historical blood vessel wall curvature of the cerebrovascular vessels in the target blood vessel area in the database within the historical unit time.
[0038] The blood flow velocity weight factor, the filling rate weight factor, the filling pressure weight factor, and the blood vessel wall curvature weight factor are respectively the influence degrees of the preset blood flow velocity, filling rate, filling pressure, and blood vessel wall curvature in the database on the acquisition process of the filling state evaluation value of the cerebrovascular vessels within the specified unit time. Specifically, the database stores the preset weight factors corresponding to the blood flow velocity, filling rate, filling pressure, and blood vessel wall curvature. There is a preset mapping relationship between these weight factors and the blood flow velocity, filling rate, filling pressure, and blood vessel wall curvature. This mapping relationship can be one-to-one or many-to-one. For example, in practical applications, the real-time blood flow velocity, filling rate, filling pressure, and blood vessel wall curvature can be input into this mapping relationship to obtain the corresponding weight factors, which provides an important quantitative index for the accuracy and reliability of evaluating the filling state of the cerebrovascular vessels within the specified unit time, and thus more accurately calculates the filling state evaluation value.
[0039] In this example, the value ranges of the blood flow velocity weight factor, the filling rate weight factor, the filling pressure weight factor, and the blood vessel wall curvature weight factor are all limited between 0 and 1, and the sum of the four is 1.
[0040] The aforementioned database is a database established before the design of an intravascular ultrasound remote monitoring system for storing various types of set data. The database includes, but is not limited to, the allowable range of filling state evaluation values, the preset reflection signal interference fraction, the preset dilation state evaluation value, and the specified unit time. Various values therein are directly set by technicians. Among them, the setting basis of the allowable range of filling state evaluation values can be determined according to the actual filling state of the patient's cerebrovascular vessels. For example, the allowable range of filling state evaluation values represents the range corresponding to the maximum and minimum values of the historical filling state evaluation values of the cerebrovascular vessels in the target vascular region in the database within the historical unit time. In addition, various values in the database can be set and fine-tuned by technicians according to actual debugging.
[0041] It should be understood that the filling state evaluation value varies with the blood flow velocity deviation (i.e., |S1 - S0|), filling rate deviation (i.e., |P1 - P0|), filling pressure deviation (i.e., |Q1 - Q0|), and blood vessel wall curvature deviation (i.e., |L1 - L0|). An increase in blood flow velocity may promote an increase in the filling rate because faster blood flow may mean a stronger driving force to push blood to fill the blood vessels faster. Conversely, a decrease in blood flow velocity may lead to a decrease in the filling rate. At the same time, the speed of the filling rate may also, in turn, affect the blood flow velocity, especially in the case of blood vessel stenosis or occlusion.
[0042] An increase in the filling rate may temporarily increase the filling pressure because faster blood entering the blood vessels will generate a greater impact force on the blood vessel wall. Secondly, changes in the blood vessel wall curvature will affect the hemodynamic characteristics of the blood flow, including blood flow velocity, filling rate, and filling pressure. For example, curved blood vessels may increase the resistance and turbulence of the blood flow, thereby affecting the filling state and pressure distribution.
[0043] By deeply understanding and considering the above mutual influence mechanisms, the internal state of the cerebrovascular vessels can be evaluated more accurately. This comprehensive evaluation method helps to improve the accuracy of obtaining the pressure value at the stenosis position of the dilated artery during the remote monitoring process. Specifically, it can help doctors more precisely identify the location and degree of blood vessel stenosis, which is of great significance for improving the accuracy of remote monitoring of the internal state of the cerebrovascular vessels and effectively solves the problem of low accuracy in obtaining the pressure value at the stenosis position of the dilated artery during the remote monitoring of the internal state of the cerebrovascular vessels in the prior art.
[0044] Further, the specific process for determining whether to obtain an intravascular ultrasound signal image is as follows: When the obtained filling state evaluation value is within the allowable range of the filling state evaluation value in the database, it indicates that the cerebrovascular filling state in the current target vascular region meets the requirements for image acquisition, and an intravascular ultrasound signal image is obtained; otherwise, it indicates that the cerebrovascular filling state in the current target vascular region does not meet the requirements for image acquisition, and a second warning is issued. The intravascular ultrasound signal image includes a cross-sectional image and a blood flow image. The cross-sectional image is used to reflect the vascular wall structure characteristics and lumen morphology within the cerebral blood vessels. The blood flow image is used to reflect the blood flow velocity, direction, and flow rate within the cerebral blood vessels. The second warning represents the filling state warning corresponding to the situation where the cerebrovascular filling state does not meet the expected requirements jointly caused by the blood flow velocity, filling rate, filling pressure, and vascular wall curvature.
[0045] It should be added that the first warning and the second warning are used to prompt the operator to increase the preset dose of normal saline to improve the cerebrovascular filling state, and at the same time increase the preset dose of contrast agent to enhance the contrast of the intravascular ultrasound signal image.
[0046] In this embodiment, the operator injects a preset dose of normal saline into the patient's body through intravenous injection. The injection of normal saline helps to increase the blood volume, thereby improving the cerebrovascular filling state. At the same time, in order to enhance the contrast of the intravascular ultrasound signal image, the operator also injects a preset dose of contrast agent into the patient's body. The contrast agent can enhance the imaging effect of blood vessels under ultrasound or X-ray, making the vascular structure clearer. Among them, the preset dose is usually set by the patient's attending physician according to the actual situation of the patient's cerebral blood vessels.
[0047] By determining whether the filling state evaluation value is within the allowable range of the filling state evaluation value, it can ensure that image acquisition is only performed when the cerebrovascular filling state meets the requirements for image acquisition. This avoids the decline in image quality caused by insufficient filling or overfilling, thereby improving the accuracy of image acquisition. At the same time, it can also reduce the discomfort caused to the patient by multiple acquisitions or adjustments of the filling state. Secondly, this process combines modern medical imaging technology and data processing technology, providing new methods and ideas for the diagnosis and treatment of cerebrovascular diseases.
[0048] Further, the specific steps for analyzing the ultrasonic reflection signal based on the obtained intravascular ultrasound signal image include: B1, when the obtained blood vessel wall curvature is less than the reference blood vessel wall curvature in the database, then execute B2, otherwise trigger an early warning mechanism (i.e., display a warning message on the display); B2, when the obtained reflection signal intensity is not greater than the reference reflection signal intensity in the database, then execute B3, otherwise it indicates that the plaque area caused by arteriosclerosis of the cerebral blood vessels in the target blood vessel area affects the propagation speed of the ultrasonic reflection signal and execute B4; B3, perform a coupling process on the obtained first reflection signal interference fraction and the second reflection signal interference fraction to obtain a reflection signal interference fraction; B4, perform a coupling process on the result of the correlation process between the obtained propagation delay duration fraction and the obtained first reflection signal interference fraction and the obtained second reflection signal interference fraction to obtain a reflection signal interference fraction; The first reflection signal interference fraction represents the result of correcting the difference degree between the obtained electromagnetic interference intensity and the reference electromagnetic interference intensity in the database by the electromagnetic interference intensity weight factor; The second reflection signal interference fraction represents the result of correcting the difference degree between the obtained signal fluctuation amplitude and the reference signal fluctuation amplitude in the database by the signal fluctuation amplitude weight factor.
[0049] Among them, when the obtained filling state evaluation value is within the allowable range of the filling state evaluation value in the database and the obtained blood vessel wall curvature is less than the reference blood vessel wall curvature in the database, the specific limit expression of the reflection signal interference fraction is:
[0050]
[0051] In the formula, FG represents the reflection signal interference fraction of the ultrasonic signal in the target blood vessel area within a specified unit time, γ1 represents the electromagnetic interference intensity weight factor, Y1 represents the propagation delay duration of the ultrasonic signal in the target blood vessel area within the corresponding specified unit time, Y0 represents the reference propagation delay duration, γ2 represents the signal fluctuation amplitude weight factor, H1 represents the electromagnetic interference intensity in the corresponding noise reduction coil of the ultrasonic signal in the target blood vessel area within the corresponding specified unit time, H0 represents the reference electromagnetic interference intensity, R1 represents the signal fluctuation amplitude of the ultrasonic signal in the target blood vessel area within the corresponding specified unit time, R0 represents the reference signal fluctuation amplitude, F1 represents the reflection signal intensity of the ultrasonic signal in the target blood vessel area within the corresponding specified unit time, and F0 represents the reference reflection signal intensity.
[0052] In this embodiment, when F1 > F0, the reflection signal interference fraction represents the quantization data of the combined influence of the propagation delay duration, electromagnetic interference intensity, and signal fluctuation amplitude on the ultrasonic signal reflection process; when F1 ≤ F0, the reflection signal interference fraction represents the quantization data of the combined influence of the electromagnetic interference intensity and signal fluctuation amplitude on the ultrasonic signal reflection process; the propagation delay duration fraction represents the ratio of the propagation delay duration of the ultrasonic signal in the target blood vessel area within the corresponding specified unit time to the reference propagation delay duration, and the propagation delay duration is used to reflect the interference degree of the electromagnetic field intensity on the ultrasonic reflection signal during propagation.
[0053] The reflection signal intensity is obtained through the receiver in the ultrasonic detector, that is: the receiver converts the received ultrasonic signal into an electrical signal, and after amplification, filtering, and digital processing by the signal processor, the intensity of the ultrasonic reflection signal is obtained; the electromagnetic interference intensity is obtained through an electromagnetic field measuring instrument; the propagation delay duration is obtained through the timer in the ultrasonic detector; the signal fluctuation amplitude is obtained through the signal processor in the ultrasonic detector, that is: the signal processor processes the received ultrasonic reflection signal, extracts the information of the signal fluctuation amplitude, and presents it in a graphical manner on the display.
[0054] The reference reflection signal intensity, reference propagation delay duration, and reference signal fluctuation amplitude are respectively represented by the results of summing and averaging the historical reflection signal intensity, historical propagation delay duration, and historical signal fluctuation amplitude of the ultrasonic signal in the target blood vessel area in the database within the historical unit time, and the reference electromagnetic interference intensity is represented by the result of summing and averaging the historical electromagnetic interference intensity in the corresponding noise reduction coil of the ultrasonic signal in the target blood vessel area in the database within the corresponding historical unit time.
[0055] The database stores preset weighting factors closely related to the reflection signal interference fraction. A predefined mapping relationship is established between these weighting factors and the corresponding electromagnetic interference intensity and signal fluctuation amplitude. It should be noted that this mapping is not randomly set. It can be one-to-one or many-to-one. For example, in practical applications, when it is necessary to evaluate the reflection stability of the ultrasonic signal during propagation, the real-time obtained electromagnetic interference intensity and signal fluctuation amplitude can be directly input into this preset mapping relationship, and the electromagnetic interference intensity weighting factor and signal fluctuation amplitude weighting factor matching the electromagnetic interference intensity and signal fluctuation amplitude can be quickly and accurately obtained.
[0056] Particularly importantly, to ensure the consistency and comparability of the evaluation, the value ranges of the electromagnetic interference intensity weighting factor and the signal fluctuation amplitude weighting factor in this example are both between 0 and 1, and the sum of the two is 1.
[0057] It should be understood that when F1 > F0, the reflection signal interference fraction increases with the increase of the propagation delay duration, the electromagnetic interference intensity deviation (i.e., |H1 - H0|), and the signal fluctuation amplitude deviation (i.e., |R1 - R0|). Among them, the increase in the propagation delay duration may exacerbate the impact of electromagnetic interference on the ultrasonic signal because the ultrasonic signal may encounter more electromagnetic noise sources on a longer propagation path. In addition, the increase in the propagation delay may also cause a change in the phase relationship between the signal and the noise, further affecting the value of the electromagnetic interference intensity deviation.
[0058] The increase in the electromagnetic interference intensity deviation directly affects the stability and clarity of the ultrasonic signal. When the electromagnetic interference intensity increases, it may mask or interfere with the reflected part of the ultrasonic signal, resulting in a change in the signal fluctuation amplitude. By considering the influence mechanism of the propagation delay duration, the electromagnetic interference intensity deviation, and the signal fluctuation amplitude deviation on the reflection signal interference fraction, we can more deeply understand how these factors work together to affect the accuracy of remote monitoring of the internal state of the cerebral blood vessels, reduce interference, and improve the signal quality, thereby achieving an improvement in the accuracy of obtaining the pressure value at the stenotic position of the dilated artery.
[0059] Furthermore, the specific process for determining whether to generate internal state data is as follows: when the obtained reflection signal interference fraction is not greater than the preset reflection signal interference fraction in the database, it indicates that the current internal state of the cerebral blood vessels meets the expected requirements for evaluating the dilation performance of the filling channel and internal state data is obtained; otherwise, it indicates that the current internal state of the cerebral blood vessels does not meet the expected requirements for evaluating the dilation performance of the filling channel and a signal frequency adjustment instruction is sent to the transducer adjustment device.
[0060] Among them, the signal frequency adjustment instruction is used to adjust the ultrasonic signal frequency of the ultrasonic transducer. The specific process for adjusting the ultrasonic signal frequency of the ultrasonic transducer is as follows: based on the obtained reflection signal interference fraction deviation, the vibration frequency of the ultrasonic transducer is adjusted by a preset amplitude, and at the same time, the ultrasonic signal frequency of the ultrasonic transducer at the current adjustment moment is monitored in real time. The reflection signal interference fraction deviation represents the difference between the preset reflection signal interference fraction and the obtained reflection signal interference fraction; when the obtained ultrasonic signal frequency is within the signal frequency allowable range (set by the preset personnel), the adjustment of the vibration frequency continues; otherwise, the operator is prompted to reduce the preset amplitude and re-adjust the vibration frequency until the obtained reflection signal interference fraction deviation is less than 0, and then a completion signal frequency adjustment instruction is sent to the transducer adjustment device.
[0061] In this embodiment, the preset reflected signal interference fraction is represented by the result of summing and averaging the historical reflected signal interference fractions of the ultrasonic signals within the target blood vessel region in the database over a historical unit time; assume that the preset reflected signal interference fraction is 0.2, the initial ultrasonic signal frequency is 2 (MHz), the initial ultrasonic signal frequency is the frequency when the ultrasonic transducer starts to work, the adjustment value of the preset amplitude is ±0.1 (MHz), that is, the fixed value increased or decreased each time the frequency is adjusted, and the signal frequency allowable range is 1.8 (MHz) to 2.2 (MHz), that is, the frequency range for the safe and effective operation of the ultrasonic transducer.
[0062] Assume that the first obtained reflected signal interference fraction is 0.3. Then, the current internal state of the cerebral blood vessels does not meet the expected requirements for evaluating the dilation performance of the filling channel. At this time, it is necessary to reduce the ultrasonic signal frequency to reduce interference. Starting from the initial ultrasonic signal frequency of 2 (MHz), it is reduced by 0.1 (MHz), and the reduced ultrasonic signal frequency is 1.9 (MHz). Since the current frequency is within the allowable range and the preset reflected signal interference fraction has not been reached, it is decided to continue the adjustment. This time, the frequency is increased (try to find the optimal frequency point), increased by 0.05 (MHz) to 1.95 (MHz).
[0063] Assume that when the adjustment is made to 1.93 (MHz), the obtained reflected signal interference fraction is 0.18, which is less than the preset reflected signal interference fraction. At this time, a signal frequency adjustment completion instruction is sent to the transducer adjustment device, indicating that the ultrasonic signal frequency that meets the conditions has been found. In this example, the reflected signal interference fraction is optimized by gradually adjusting the signal frequency of the ultrasonic transducer, so as to meet the requirement of accurately monitoring the internal state of the cerebral blood vessels, and further improve the accuracy of obtaining the pressure value at the artery stenosis position in the dilated artery.
[0064] Furthermore, the internal state data analysis module includes a dilation pressure value acquisition unit and a dilation state monitoring unit; Dilation pressure value acquisition unit: used to obtain the dilation pressure value at the artery stenosis position corresponding to the cerebral blood vessels in the target blood vessel region according to the obtained internal state data, and the dilation pressure value is used to dynamically adjust the lumen width of the cerebral blood vessels in the target blood vessel region; Dilation state monitoring unit: used to monitor and evaluate the dilation state of the corresponding filling channel in real time during the dynamic adjustment process, and judge whether the dilation of the artery stenosis position is completed based on the evaluation result.
[0065] In this embodiment, the obtained internal state data is input into the program corresponding to the vascular interventional therapy for analysis, and the program outputs the dilation pressure value at the corresponding dilation position of the target blood vessel region based on the principles of biomechanics, fluid mechanics, and vascular physiology, that is, the dilation pressure value at the artery stenosis position corresponding to the cerebral blood vessels in the target blood vessel region.
[0066] Inflate the balloon inside the balloon dilation catheter to expand the balloon and apply pressure to the stenotic blood vessel wall, so as to achieve the purpose of dilating the lumen width. It should be noted that in some cases, simple balloon dilation may not be sufficient to maintain the dilated state of the lumen permanently. In this case, a metal or bioabsorbable stent needs to be implanted at the stenotic site. The stent can provide a lasting supporting force, which can not only immediately dilate the lumen width but also maintain this dilated state for a long time, thus effectively solving the problem of blood vessel restenosis, achieving effective dilation of the stenotic position of the cerebral blood vessels in the target blood vessel area, and also providing new ideas and methods for the field of vascular intervention therapy.
[0067] Furthermore, the dilation state of the corresponding filling channel during the real-time monitoring and dynamic adjustment process is monitored and evaluated. The specific steps include: when the blood vessel wall thickness of the cerebral blood vessels in the corresponding target blood vessel area during the dynamic adjustment process is within the allowable dilation range of the blood vessel wall thickness, obtain the change amplitude of the blood flow velocity in the corresponding cerebral blood vessels of the filling channel within a specified unit time, and at the same time obtain the ultrasonic signal parameters; perform coupling processing on the obtained first dilation state evaluation value, second dilation state evaluation value, and third dilation state evaluation value to obtain the dilation state evaluation value; the ultrasonic signal parameters include the ultrasonic signal frequency and the ultrasonic signal intensity; the first dilation state evaluation value represents the result of correcting the difference degree between the blood flow velocity change amplitude and the reference blood flow velocity change amplitude by the first dilation state evaluation value weight factor; the second dilation state evaluation value represents the result of correcting the difference degree between the ultrasonic signal frequency and the reference ultrasonic signal frequency by the second dilation state evaluation value weight factor; the third dilation state evaluation value represents the result of correcting the difference degree between the ultrasonic signal intensity and the reference ultrasonic signal intensity by the third dilation state evaluation value weight factor; the dilation state evaluation value represents the quantification data of the influence degree of the first dilation state evaluation value, the second dilation state evaluation value, and the third dilation state evaluation value on the dilation state of the filling channel.
[0068] Among them, the specific limiting expression of the dilation state evaluation value is:
[0069]
[0070] Wherein, KP represents the evaluation value of the dilation state of the filling channel corresponding to a specified unit time during the dynamic adjustment process, n1 represents the weight factor of the first dilation state evaluation value, J1 represents the change range of the blood flow velocity in the cerebral blood vessels corresponding to the filling channel within the corresponding specified unit time, J0 represents the reference blood flow velocity change range, n2 represents the weight factor of the second dilation state evaluation value, U1 represents the ultrasonic signal frequency corresponding to the filling channel within the corresponding specified unit time, U0 represents the reference ultrasonic signal frequency, n3 represents the weight factor of the third dilation state evaluation value, and V1 represents the ultrasonic signal intensity corresponding to the filling channel within the corresponding specified unit time, and V0 represents the reference ultrasonic signal intensity.
[0071] In this embodiment, the unit of the change range of the blood flow velocity and the reference blood flow velocity change range is the same, both are centimeters per second (cm / s), the unit of the ultrasonic signal frequency and the reference ultrasonic signal frequency is the same, both are Hertz (Hz), and the unit of the ultrasonic signal intensity and the reference ultrasonic signal intensity is the same, both are decibels (dB). Among them, the change range of the blood flow velocity, the ultrasonic signal frequency, and the ultrasonic signal intensity are all obtained by real-time monitoring of the micro ultrasonic probe of the intravascular ultrasound catheter. The reference blood flow velocity change range, the reference ultrasonic signal frequency, and the reference ultrasonic signal intensity are respectively represented by the results of summing and averaging the historical blood flow velocity change range, the historical ultrasonic signal frequency, and the historical ultrasonic signal intensity in the cerebral blood vessels corresponding to the filling channel in the corresponding historical unit time in the database.
[0072] The weight factor of the first dilation state evaluation value, the weight factor of the second dilation state evaluation value, and the weight factor of the third dilation state evaluation value are respectively the influence degrees of the preset blood flow velocity change range, ultrasonic signal frequency, and ultrasonic signal intensity in the database on the acquisition process of the dilation state evaluation value. Specifically, the database stores the preset weight factors corresponding to the dilation state evaluation value. There is a preset mapping relationship between these weight factors and the blood flow velocity change range, ultrasonic signal frequency, and ultrasonic signal intensity. This mapping relationship can be one-to-one or many-to-one. For example, in practical applications, the real-time blood flow velocity change range, ultrasonic signal frequency, and ultrasonic signal intensity can be input into this mapping relationship to quickly obtain the corresponding weight factors, which provides important quantitative indicators for the evaluation accuracy and reliability of the dilation state of the filling channel within a specified unit time, and then more accurately calculates the dilation state evaluation value.
[0073] In this example, the value ranges of the weight factor of the first dilation state evaluation value, the weight factor of the second dilation state evaluation value, and the weight factor of the third dilation state evaluation value are all limited between 0 and 1, and the sum of the three is 1.
[0074] It should be understood that the dilation state evaluation value increases as the deviation of the blood flow velocity change amplitude (i.e., |J1 - J0|), the deviation of the ultrasonic signal frequency (i.e., |U1 - U0|), and the deviation of the ultrasonic signal intensity (i.e., |V1 - V0|) increase. Among them, when the blood flow velocity change amplitude increases, if the frequency of the ultrasonic signal remains unchanged, it may lead to a more obvious Doppler effect between the signal and the blood flow, and then cause distortion or attenuation of the ultrasonic reflection signal, making it more difficult to accurately evaluate the blood flow state.
[0075] On the other hand, the change in blood flow velocity may affect the reflection and propagation of ultrasonic signals in blood vessels, thus affecting the signal intensity, because part of the signal may be carried away or scattered by the blood flow. Generally speaking, as the frequency of the ultrasonic signal increases, the penetration power of the ultrasonic reflection signal may decrease, but the resolution may increase, resulting in a decrease in signal intensity.
[0076] To sum up, in the dilation state evaluation, these deviations and mutual influence relationships may lead to an increase in the evaluation value. For example, when the deviation of the blood flow velocity change amplitude is large, it may lead to a misunderstanding or misjudgment of the blood flow state; when the deviation of the ultrasonic signal frequency or intensity is large, it may affect the accuracy and reliability of the signal. Therefore, when performing dilation state evaluation, these factors need to be comprehensively considered, and appropriate measures should be taken to reduce the deviations and the influence of mutual influence, thereby effectively solving the problem of low accuracy in obtaining the pressure value at the stenosis position of the dilated artery during the process of remotely monitoring the internal state of the cerebral blood vessels in the prior art.
[0077] Furthermore, the specific process for judging whether the dilation of the artery stenosis position is completed based on the evaluation result is as follows: judge whether the obtained dilation state evaluation value is not greater than the preset dilation state evaluation value in the database. If so, complete the dilation of the artery stenosis position and store the obtained dilation state evaluation value in the database; otherwise, send a dilation parameter adjustment instruction to the transducer adjustment device to adjust the dilation parameters, where the dilation parameters include ultrasonic power and ultrasonic action time.
[0078] Among them, the specific process for adjusting the dilation parameters is as follows: K1, increase the ultrasonic power by a preset amplitude based on the obtained deviation of the dilation state evaluation value, and at the same time re-obtain the deviation of the dilation state evaluation value. When the increase amplitude of the deviation of the dilation state evaluation value is greater than the preset increase amplitude of the deviation of the dilation state evaluation value in the database, continue to increase the ultrasonic power by the preset amplitude until the re-obtained deviation of the dilation state evaluation value is not less than 0; K2, when the increase amplitude of the deviation of the dilation state evaluation value is not greater than the preset increase amplitude of the deviation of the dilation state evaluation value in the database, extend the ultrasonic action time by a preset amplitude based on the obtained relative deviation of the evaluation value until the deviation of the dilation state evaluation value is not less than 0, otherwise return to K1.
[0079] In this embodiment, the deviation of the dilation state evaluation value represents the difference between the preset dilation state evaluation value and the obtained dilation state evaluation value; the increase amplitude of the deviation of the dilation state evaluation value represents the difference between the obtained dilation state evaluation value and the re-obtained dilation state evaluation value; the relative deviation of the evaluation value represents the difference between the deviation of the dilation state evaluation value and the increase amplitude of the deviation; the preset dilation state evaluation value is represented by the result of summing and averaging the historical dilation state evaluation values corresponding to the historical unit time during the historical dynamic adjustment of the dilation state of the filling channel in the database.
[0080] Assume that the preset dilation state evaluation value is 0.8, the increase amplitude of the preset dilation state evaluation value is 0.05, the ultrasonic power increased each time is 10W, the ultrasonic action time extended each time is 5s, the initial dilation state evaluation value is 0.7, and the initial deviation of the dilation state evaluation value is 0.1.
[0081] Increase the ultrasonic power by 10W. At this time, the obtained dilation state evaluation value is 0.76, and the deviation of the dilation state evaluation value is 0.04, which is 0.06 less than the initial deviation of the dilation state evaluation value and less than the increase amplitude of the preset dilation state evaluation value. Therefore, it is necessary to extend the ultrasonic action time by 5s. At this time, the obtained dilation state evaluation value is 0.82, and the deviation of the dilation state evaluation value increases by 0.06 relative to 0.76, which is greater than the increase amplitude of the preset dilation state evaluation value. Then, the adjustment of the dilation parameters is completed, and the precise regulation of the dilation state of the filling channel is realized.
[0082] As Figure 2 shown, it is a flowchart of a method for remotely monitoring the internal state of blood vessels by ultrasound provided by an embodiment of the present application. A method for remotely monitoring the internal state of blood vessels by ultrasound provided by an embodiment of the present application includes the following steps: Step 1, obtain filling state data and analyze it to determine whether to obtain an internal ultrasound signal image of the blood vessel; Step 2, analyze the ultrasonic reflection signal according to the obtained internal ultrasound signal image of the blood vessel to determine whether to generate internal state data; Step 3, analyze the obtained internal state data for dynamic adjustment and monitoring.
[0083] It should be supplemented and explained that, as Figure 3 shown, it is a schematic diagram of the micro ultrasonic probe of the intravascular ultrasound catheter provided by an embodiment of the present application for imaging in the cerebral blood vessel; as Figure 4 shown, it is a schematic diagram of the structure of the intravascular ultrasound catheter provided by an embodiment of the present application.
[0084] Connection relationship description: The outer tube is the main structure of the intravascular ultrasound catheter. It is usually a slender tubular structure used to insert the intravascular ultrasound catheter into the blood vessel, providing protection and support for the entire intravascular ultrasound catheter. It ensures that the catheter can maintain sufficient rigidity and flexibility when inserted into the blood vessel so as to reach the target position smoothly; the filling channel is located inside the outer tube and is a channel for delivering a filling medium (such as normal saline). The filling medium is delivered into the balloon through the filling channel to achieve the expansion of the balloon; the balloon is an inflatable structure located at the distal end of the outer tube. The balloon is connected to the filling medium through the filling channel. When the filling medium is injected, the balloon will expand and closely adhere to the blood vessel wall. The degree of balloon expansion can be adjusted by controlling the injection volume of the filling medium.
[0085] The ultrasonic transducer is located near or inside the balloon (depending on the design) and is used to convert electrical energy into ultrasonic energy. The ultrasonic energy is transmitted to the blood vessel wall through the balloon and surrounding tissues to achieve imaging or treatment of the blood vessel wall; the transducer adjustment device is connected to the ultrasonic transducer and is used to control the working parameters of the ultrasonic transducer, such as the frequency, power, and duration of the ultrasonic wave.
[0086] As Figure 5 shown, it is a schematic diagram of the end face of the outer tube provided by the embodiment of the present application. The end face of the outer tube contains a noise reduction channel and an ultrasonic transducer channel. Among them, the ultrasonic transducer channel is a space for accommodating and fixing the ultrasonic transducer to ensure that the ultrasonic transducer stably emits ultrasonic energy during operation. The noise reduction channel contains a noise reduction coil, which is used to reduce the noise and interference signals generated by the ultrasonic transducer during operation, helping to improve the clarity and accuracy of the intravascular ultrasound signal image.
[0087] Working principle description: When the filling medium is injected into the balloon through the filling channel, the balloon will expand and closely adhere to the blood vessel wall, enabling the ultrasonic transducer to be more accurately positioned on the blood vessel wall. The reflection and scattering of ultrasonic waves on the blood vessel wall can be used to generate an image of the blood vessel wall (i.e., the intravascular ultrasound signal image). The transducer adjustment device allows the doctor to adjust the working parameters of the ultrasonic transducer as needed. For example, by increasing the ultrasonic power or duration, the treatment effect can be enhanced, and by changing the frequency of the ultrasonic wave, the imaging quality can be optimized.
[0088] In summary, the embodiments of the present application obtain filling state data and analyze it to determine whether to acquire an intravascular ultrasound signal image. Then, based on the acquired intravascular ultrasound signal image, the ultrasonic reflection signal is analyzed to determine whether to generate internal state data. Finally, the acquired internal state data is analyzed for dynamic adjustment and monitoring, thereby achieving effective monitoring and accurate evaluation of the internal state data of the cerebral blood vessels. Furthermore, the accuracy of obtaining the pressure value at the stenotic position of the dilated artery is improved, effectively solving the problem of low accuracy in obtaining the pressure value at the stenotic position of the dilated artery during the remote monitoring of the internal state of the cerebral blood vessels in the prior art.
[0089] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable program code.
[0090] The present invention is described with reference to the flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.
[0091] These computer program instructions can also be stored in a computer-readable memory capable of guiding a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.
[0092] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocksFigure 1 Steps of the functions specified in one or more boxes.
[0093] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they learn the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.
[0094] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.
Claims
1. An ultrasonic remote monitoring system for the internal state of blood vessels, characterized in that, Including: A filling state data evaluation module, an ultrasonic signal analysis module, and an internal state data analysis module; Among them, the filling state data evaluation module is used to obtain filling state data and perform analysis to determine whether to obtain an internal vascular ultrasonic signal image; The ultrasonic signal analysis module is used to analyze the ultrasonic reflection signal based on the obtained internal vascular ultrasonic signal image to determine whether to generate internal state data; The internal state data analysis module is used to analyze the obtained internal state data for dynamic adjustment and monitoring.
2. The intravascular state ultrasonic remote monitoring system according to claim 1, wherein The filling state data includes an initial filling volume, a filling rate, a filling pressure, a blood flow velocity, and a blood vessel wall curvature, and the internal state data includes a blood flow velocity, a blood vessel wall thickness, and a balloon dilation pressure; The specific steps for obtaining and analyzing the filling state data include: A1. When the real-time monitored blood flow velocity is greater than the reference blood flow velocity in the database, it is determined that the blood vessel wall is stenotic and a first warning is issued. Otherwise, the degree of difference between the obtained blood flow velocity and the reference blood flow velocity in the database is corrected by a blood flow velocity weight factor to obtain a first filling state evaluation value; A2. The obtained first filling state evaluation value, second filling state evaluation value, third filling state evaluation value, and fourth filling state evaluation value are coupled to obtain a filling state evaluation value. The second filling state evaluation value represents the result of correcting the degree of difference between the obtained filling rate and the reference filling rate in the database by a filling rate weight factor. The third filling state evaluation value represents the result of correcting the degree of difference between the obtained filling pressure and the reference filling pressure in the database by a filling pressure weight factor. The fourth filling state evaluation value represents the result of correcting the degree of difference between the obtained blood vessel wall curvature and the reference blood vessel wall curvature in the database by a blood vessel wall curvature weight factor. The filling state evaluation value represents the quantification data of the combined influence degree of blood flow velocity, filling rate, filling pressure, and blood vessel wall curvature on the cerebrovascular filling state.
3. The intravascular state ultrasonic remote monitoring system according to claim 2, characterized in that The specific process for determining whether to obtain an internal vascular ultrasonic signal image is as follows: When the obtained filling state evaluation value is within the allowable range of the filling state evaluation value in the database, an internal vascular ultrasonic signal image is obtained. Otherwise, a second warning is issued; The internal vascular ultrasonic signal image includes a cross-sectional image and a blood flow image. The cross-sectional image is used to reflect the blood vessel wall structure characteristics and lumen morphology in the cerebrovascular, and the blood flow image is used to reflect the blood flow velocity, direction, and flow rate in the cerebrovascular.
4. The intravascular state ultrasonic remote monitoring system according to claim 1, wherein The specific steps for analyzing the ultrasonic reflection signal based on the obtained internal vascular ultrasonic signal image include: B1. When the obtained blood vessel wall curvature is less than the reference blood vessel wall curvature in the database, B2 is executed. Otherwise, a warning mechanism is triggered; B2. When the obtained reflection signal intensity is not greater than the reference reflection signal intensity in the database, B3 is executed. Otherwise, B4 is executed; B3. The obtained first reflection signal interference fraction and second reflection signal interference fraction are coupled to obtain a reflection signal interference fraction; B4. Coupling the result of correlating the obtained propagation delay duration fraction with the obtained first reflected signal interference fraction with the obtained second reflected signal interference fraction to obtain a reflected signal interference fraction. The first reflected signal interference fraction represents the result of correcting the difference between the obtained electromagnetic interference intensity and the reference electromagnetic interference intensity in the database by an electromagnetic interference intensity weight factor. The second reflected signal interference fraction represents the result of correcting the difference between the obtained signal fluctuation amplitude and the reference signal fluctuation amplitude in the database by a signal fluctuation amplitude weight factor.
5. The ultrasonic remote monitoring system for the internal state of blood vessels according to claim 4, characterized in that The specific process for determining whether to generate internal state data is as follows: When the obtained reflected signal interference fraction is not greater than the preset reflected signal interference fraction in the database, internal state data is obtained; otherwise, a signal frequency adjustment instruction is sent to the transducer adjustment device.
6. The ultrasonic remote monitoring system for the internal state of blood vessels as described in claim 5, wherein The specific process for adjusting the ultrasonic signal frequency of the ultrasonic transducer is as follows: Based on the obtained reflected signal interference fraction deviation, the vibration frequency of the ultrasonic transducer is adjusted by a preset amplitude, and at the same time, the ultrasonic signal frequency of the ultrasonic transducer at the current adjustment moment is monitored in real time; When the obtained ultrasonic signal frequency is within the allowable range of the signal frequency, the adjustment of the vibration frequency continues; otherwise, the operator is prompted to reduce the preset amplitude and re-adjust the vibration frequency.
7. The ultrasonic remote monitoring system for the internal state of blood vessels according to claim 1, characterized in that, The internal state data analysis module includes a dilation pressure value acquisition unit and a dilation state monitoring unit; The dilation pressure value acquisition unit: is used to obtain the dilation pressure value at the arterial stenosis position corresponding to the cerebrovascular vessels in the target blood vessel area according to the obtained internal state data; The dilation state monitoring unit: is used to monitor and evaluate the dilation state of the corresponding filling channel in real time during the dynamic adjustment process, and determine whether the dilation of the arterial stenosis position is completed based on the evaluation result.
8. The intravascular status ultrasonic remote monitoring system according to claim 7, characterized in that, The specific steps for monitoring and evaluating the dilation state of the corresponding filling channel in real time during the dynamic adjustment process include: When the vessel wall thickness of the cerebrovascular vessels in the corresponding target blood vessel area during the dynamic adjustment process is within the allowable dilation range of the vessel wall thickness, the change amplitude of the blood flow velocity in the corresponding cerebrovascular vessels within the specified unit time of the filling channel is obtained, and at the same time, ultrasonic signal parameters are obtained. The ultrasonic signal parameters include the ultrasonic signal frequency and the ultrasonic signal intensity; Based on the obtained first dilation state evaluation value, second dilation state evaluation value, and third dilation state evaluation value, coupling processing is performed to obtain the dilation state evaluation value. The first dilation state evaluation value represents the result of correcting the difference between the blood flow velocity change amplitude and the reference blood flow velocity change amplitude by the first dilation state evaluation value weight factor. The second dilation state evaluation value represents the result of correcting the difference between the ultrasonic signal frequency and the reference ultrasonic signal frequency by the second dilation state evaluation value weight factor. The third dilation state evaluation value represents the result of correcting the difference between the ultrasonic signal intensity and the reference ultrasonic signal intensity by the third dilation state evaluation value weight factor. The dilation state evaluation value represents the quantification data of the influence degree of the first dilation state evaluation value, second dilation state evaluation value, and third dilation state evaluation value on the dilation state of the filling channel.
9. The intravascular state ultrasonic remote monitoring system according to claim 7, wherein The specific process for judging whether the dilation of the arterial stenosis position is completed based on the evaluation result is as follows: If the obtained dilation state evaluation value is not greater than the preset dilation state evaluation value in the database, the dilation of the arterial stenosis position is completed and the obtained dilation state evaluation value is stored in the database. Otherwise, a dilation parameter adjustment instruction is sent to the transducer adjustment device to adjust the dilation parameters, where the dilation parameters include ultrasonic power and ultrasonic action time. The specific process for adjusting the dilation parameters is as follows: K1. Based on the obtained deviation of the dilation state evaluation value, increase the ultrasonic power by a preset amplitude, and at the same time, re-obtain the deviation of the dilation state evaluation value. When the increase amplitude of the deviation of the dilation state evaluation value is greater than the preset increase amplitude of the deviation of the dilation state evaluation value in the database, continue to increase the ultrasonic power by the preset amplitude until the re-obtained deviation of the dilation state evaluation value is not less than 0. K2. When the increase amplitude of the deviation of the dilation state evaluation value is not greater than the preset increase amplitude of the deviation of the dilation state evaluation value in the database, extend the ultrasonic action time by a preset amplitude based on the obtained relative deviation of the evaluation value until the deviation of the dilation state evaluation value is not less than 0. Otherwise, return to K1.
10. An ultrasonic remote monitoring method for the internal state of blood vessels, characterized in that, It includes the following steps: Step 1: Obtain the filling state data and analyze it to judge whether the internal ultrasonic signal image of the blood vessel is obtained. Step 2: Analyze the ultrasonic reflection signal according to the obtained internal ultrasonic signal image of the blood vessel to judge whether the internal state data is generated. Step 3: Analyze the obtained internal state data for dynamic adjustment and monitoring.
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