Device and method for measuring active mechanical parameters of blood vessel

Abstract

The invention relates to the technical field of blood vessel mechanical measurement, in particular to a blood vessel active mechanical parameter measuring device and method, and the device comprises an ultrasonic measurement module which is used for collecting blood vessel cross section image data of a superficial artery of a target area; the blood pressure measuring module is used for collecting pressure data of the superficial artery of the target area in the cardiac cycle; the data processing module is used for analyzing and fitting the blood vessel cross section image data and the pressure data, and determining blood vessel active mechanical parameters of the target area according to an analysis and fitting result; and the display output module is used for displaying the blood vessel active mechanical parameters of the target area. Therefore, the problem that the measurement of the mechanical property of the artery is mostly limited to the characterization of dynamic parameters of the artery in the prior art is solved.

Description

Technical Field

[0001] This application relates to the field of vascular biomechanics measurement technology, and in particular to a device and method for measuring vascular master dynamic parameters. Background Technology

[0002] Cardiovascular diseases are currently the leading cause of death worldwide, posing a serious threat to human health. Studies have shown that the development of vascular wall lesions is a direct cause of cardiovascular complications such as myocardial infarction and stroke, and most vascular wall lesions can directly lead to abnormal arterial mechanical properties. In recent years, various in vivo non-invasive methods for measuring arterial stiffness have been proposed, but most are limited to measuring arterial dynamic parameters, thus limiting their role in cardiovascular disease diagnosis and health monitoring. Summary of the Invention

[0003] This application provides a hardware device and method for measuring the main dynamic parameters of blood vessels, aiming to solve the problem that in related technologies, the measurement of arterial mechanical properties often only stays at the level of characterizing arterial dynamic parameters.

[0004] The first aspect of this application provides a device for measuring vascular principal dynamic parameters, comprising: an ultrasound measurement module for acquiring cross-sectional image data of superficial arteries in a target area; a blood pressure measurement module for acquiring pressure data of superficial arteries in the target area during the cardiac cycle; a data processing module for analyzing and fitting the cross-sectional image data and pressure data, and determining the vascular principal dynamic parameters of the target area based on the analysis and fitting results; and a display output module for displaying the vascular principal dynamic parameters of the target area.

[0005] According to one embodiment of this application, the ultrasound measurement module includes an ultrasound host and an ultrasound probe. The ultrasound probe performs ultrasound detection on the skin surface of the target area, and the ultrasound host generates vascular cross-sectional image data of the superficial arteries in the target area based on the ultrasound detection data of the ultrasound probe.

[0006] According to one embodiment of this application, the ultrasound host includes a radio frequency transmitter, a radio frequency receiver, and a focused acoustic radiation force end, and the ultrasound probe is a linear array probe or a dot array probe composed of multiple single array elements.

[0007] According to one embodiment of this application, the blood pressure measurement module includes at least one pressure sensor, a photoelectric sensor, an analog-to-digital converter, and a bridge amplifier.

[0008] According to one embodiment of this application, the data processing module includes processing hardware and processing software disposed on the processing hardware, wherein the processing software analyzes and fits blood vessel cross-sectional image data and pressure data.

[0009] According to one embodiment of this application, the display output module includes a display that displays the main vascular dynamic parameters of the target region.

[0010] A second aspect of this application provides a method for measuring vascular principal dynamic parameters, the steps of which include: acquiring vascular cross-sectional image data of superficial arteries in a target area; acquiring pressure data of superficial arteries in the target area during the cardiac cycle; analyzing and fitting the vascular cross-sectional image data and pressure data; and determining the vascular principal dynamic parameters of the target area based on the analysis and fitting results.

[0011] According to one embodiment of this application, the main vascular dynamic parameters of the target region are determined by analyzing and fitting vascular cross-sectional image data and pressure data, including: calculating the vascular radius based on the vascular cross-sectional image data; calculating the vascular absolute pressure value based on the pressure data and reference blood pressure; generating a vascular pressure-radius relationship curve based on the vascular radius and the vascular absolute pressure value; and determining the main vascular dynamic parameters of the target region based on the relationship curve.

[0012] According to one embodiment of this application, determining the principal vascular dynamic parameters of a target region based on a relationship curve includes: obtaining pressure and radius data under different states from the relationship curve; inputting the pressure and radius data into an optimization function, using the optimization function to invert unknown parameters in the explicit relationship between pressure and radius, and calculating the principal vascular dynamic parameters through the explicit relationship; calculating the active parameter difference between the principal vascular dynamic parameters under different states, and generating the principal vascular dynamic parameters of the target region based on the principal vascular dynamic parameters and the active parameter difference under different states.

[0013] According to one embodiment of this application, the explicit relationship expression of the vascular master dynamics parameter measurement method is as follows:

[0014] in, Indicates pressure, Indicates the radius of the blood vessel. This indicates that the blood vessel wall is thick. This represents the shear modulus of elastic fibers. Indicates the axial elongation ratio of blood vessels. This indicates the fiber elongation ratio corresponding to the maximum contractile force of smooth muscle. This indicates the fiber elongation ratio corresponding to the disappearance of smooth muscle contractility. Indicates the main dynamic parameters of the artery, Circumferential elongation ratio of blood vessels This represents the nonlinear hardening coefficient of collagen fibers; The expression for the optimization function is:

[0015] in, correspond A different state; This represents the number of discrete data points in each measurement group. This is the absolute pressure value of the blood vessel. This represents the actual pressure value measured under the current conditions.

[0016] Therefore, this application has the following beneficial effects: This application embodiment acquires geometric data through an ultrasound measurement module and blood pressure data through a blood pressure measurement module. A data processing module processes and analyzes the geometric and blood pressure data, and a display output module outputs the principal vascular dynamic parameters. These parameters stably characterize the changes in different physiological states and directly reflect changes in the active contractile capacity of arterial smooth muscle. This enables non-invasive in vivo measurement of arterial dynamic properties, playing a crucial role in cardiovascular disease diagnosis and health monitoring. Therefore, it solves the problem that most related technologies limit the measurement of arterial mechanical properties to the characterization of arterial dynamic parameters and provides a device and method for measuring principal vascular dynamic parameters.

[0017] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0018] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is an example diagram of a vascular master dynamics parameter measuring device provided according to an embodiment of this application; Figure 2 This is an example diagram illustrating the usage of the measuring device provided in the embodiments of this application; Figure 3 This is an example diagram of the data processing results provided according to the embodiments of this application; Figure 4 This is a flowchart of a method for measuring vascular main dynamic parameters according to an embodiment of this application. Detailed Implementation

[0019] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0020] The arterial wall is composed of collagen fibers, elastic fibers, smooth muscle cells, and extracellular matrix. The arterial dynamics are primarily determined by collagen and elastic fibers. Any alteration in these microstructures (e.g., elastin fragmentation, abnormal collagen deposition, or fiber cross-linking caused by advanced glycation end products) directly alters the arterial mechanical properties, becoming a significant contributing factor to arteriosclerosis. In contrast, smooth muscle cells possess active dynamic functions: under the regulation of neural signals or hormones, they can perform active contraction or elongation, which is the concrete manifestation of the arterial dynamics. Related studies have shown that active vasoconstriction is not only a core mechanism for regulating blood flow, but its active regulatory role can also delay the progression of some cardiovascular diseases. Therefore, accurately characterizing the arterial dynamics is of irreplaceable value for improving the accuracy of cardiovascular disease diagnosis and optimizing health monitoring programs.

[0021] Among the related technologies, several in vivo non-invasive measurement methods for arterial stiffness have been proposed. One method involves simultaneously collecting two data points during the cardiac cycle: real-time changes in arterial blood pressure and arterial deformation parameters, such as lumen area and geometric shape. These two types of data are then correlated to generate a pressure-radius curve. Finally, the arterial stiffness is described based on the relationship between the two reflected by the pressure-radius curve.

[0022] However, the measurement of arterial mechanical properties in related technologies often only focuses on the characterization of arterial dynamic parameters, which limits its role in cardiovascular disease diagnosis and health monitoring. To address the above issues, this application focuses on measuring arterial master dynamic parameters and proposes a complete device for measuring vascular master dynamic parameters from the perspectives of hardware, software analysis, and mechanical modeling.

[0023] The following description, with reference to the accompanying drawings, describes a device and method for measuring vascular principal dynamic parameters according to embodiments of this application. Addressing the limitations of the arterial mechanical property measurements mentioned in the background section, which largely focus on characterizing arterial dynamic parameters, this application provides a hardware device for measuring vascular principal dynamic parameters. The device includes an ultrasound measurement module for acquiring cross-sectional image data of superficial arteries in a target area; a blood pressure measurement module for acquiring pressure data of superficial arteries in the target area during the cardiac cycle; a data processing module for analyzing and fitting the cross-sectional image data and pressure data, and determining the vascular principal dynamic parameters of the target area based on the analysis and fitting results; and a display output module for displaying the vascular principal dynamic parameters of the target area. Therefore, the device and method of this application can measure the changes in vascular principal dynamic properties between different physiological states. Furthermore, the measurement device is relatively simple, and the data analysis algorithm is easily integrated into the hardware system, facilitating clinical use.

[0024] Specifically, Figure 1This is an example diagram of a vascular master dynamic parameter measuring device provided in an embodiment of this application.

[0025] like Figure 1 As shown, the vascular dynamics parameter measuring device 10 includes: an ultrasound measurement module 110, a blood pressure measurement module 120, a data processing module 130, and a display output module 140.

[0026] The ultrasound measurement module 110 is used to acquire cross-sectional image data of superficial arteries in the target area; the blood pressure measurement module 120 is used to acquire pressure data of superficial arteries in the target area during the cardiac cycle; the data processing module 130 is used to analyze and fit the cross-sectional image data and pressure data, and determine the main vascular dynamic parameters of the target area based on the analysis and fitting results; and the display output module 140 is used to display the main vascular dynamic parameters of the target area.

[0027] It is understandable that measuring the properties of superficial arteries in the target area is representative of measuring the main dynamic properties of blood vessels. By measuring the vascular geometry and blood pressure in the target area, the hardening parameters of the blood vessels can be characterized. The ultrasound measurement module 110 is used to acquire cross-sectional image data of superficial arteries in the target area. The cross-sectional image data can associate abstract main dynamic properties of blood vessels with concrete vascular morphological features, providing a visual basis for the accurate calculation of main dynamic parameters of blood vessels and clinical applications. The blood pressure measurement module 120 is used to measure the pressure data of superficial arteries in the target area during the cardiac cycle. The dynamic changes in arterial blood pressure are a quantitative indicator reflecting the main dynamic properties of blood vessels, revealing the active regulation mechanism of blood vessels. After receiving the image data and pressure data, the data processing module 130 performs data analysis and fitting, and determines the main dynamic parameters of blood vessels in the target area based on the analysis and fitting results. The display output module 140 is used to output the main dynamic parameters of blood vessels to the user in a screen display manner, making the data presentation more intuitive and easy to understand, quickly responding to the user's immediate need for data acquisition, and helping to make decisions more scientific and efficient.

[0028] According to one embodiment of this application, the ultrasound measurement module 110 includes an ultrasound host and an ultrasound probe. The ultrasound probe performs ultrasound detection on the skin surface of the target area, and the ultrasound host generates vascular cross-sectional image data of the superficial arteries in the target area based on the ultrasound detection data of the ultrasound probe.

[0029] Understandably, ultrasound systems can achieve brightness mode imaging acquisition with an imaging frame rate of no less than 30 frames per second. Brightness mode is the basic mode of ultrasound imaging, commonly referred to as B-mode ultrasound. The working mode of an ultrasound system is: emitting ultrasound waves → receiving echoes → signal processing → image display. The ultrasound system consists of an ultrasound host and an ultrasound probe working together to provide real-time, non-invasive structural information of the target patient for the hardware device of vascular dynamic parameters, supporting diagnostic or testing decisions.

[0030] For example, an ultrasound measurement module can be used to measure the cross-section of the carotid artery, acquiring images of the vessel's pulsation over time. Figure 2 As shown in Figure a. In practice, the ultrasound probe is gently placed on the skin surface along the short axis of the carotid artery. Care should be taken to avoid compressing the blood vessel to prevent alteration of its true morphology due to external force. Adjust the tilt angle of the ultrasound probe so that the imaging plane is perpendicular to the local blood vessel, ensuring the cross-section of the vessel is displayed as centrally as possible within the imaging field of view, thus guaranteeing the accuracy of subsequent measurement data. Record the ultrasound image for approximately 5 seconds, corresponding to approximately 5-7 cardiac cycles.

[0031] This allows for the measurement of the carotid artery's cross-section using an ultrasound measurement module, and the acquisition of pulsation images of the vessel's cross-section over time. Real-time data transmission improves the accuracy of the measurement device.

[0032] According to one embodiment of this application, the ultrasound host includes a radio frequency transmitter, a radio frequency receiver, and a focused acoustic radiation force end, and the ultrasound probe is a linear array probe or a dot array probe composed of multiple single array elements.

[0033] Understandably, the ultrasound host processes the ultrasound probe's data to generate cross-sectional images of superficial arteries in the target area; the ultrasound probe is the component that comes into direct contact with the human body, performing ultrasound detection on the skin surface of the target area.

[0034] For example, the ultrasound probe can be a standard linear array probe (center frequency 5-15MHz) or a dot array probe composed of multiple single elements; the ultrasound host includes a radio frequency transmitter, a radio frequency receiver, and a focused acoustic radiation force end. In actual operation, the ultrasound probe and the ultrasound host work together to perform ultrasound detection on the skin surface of the target area. The ultrasound host generates cross-sectional image data of the superficial arteries in the target area based on the ultrasound detection data from the ultrasound probe.

[0035] Using an ultrasound main unit and ultrasound probe helps ensure the accuracy and reliability of diagnosis, and adapts to the needs of various examination scenarios, improving applicability and ease of operation.

[0036] According to one embodiment of this application, the blood pressure measurement module 120 includes at least one pressure sensor, a photoelectric sensor, an analog-to-digital converter, and a bridge amplifier.

[0037] Understandably, a blood pressure measurement module can measure blood pressure. In practice, the blood pressure measurement module can select one or more of the following: a pressure sensor, a photoelectric sensor, an analog-to-digital converter, and a bridge amplifier.

[0038] For example, a blood pressure measurement module is used to measure carotid artery blood pressure. One embodiment consists of a pressure sensor, an analog-to-digital converter, and a bridge amplifier. The pressure sensor has a measurement range of 0–500 mmHg and a measurement accuracy of at least 5 mmHg. Figure 2 As shown in Figure b, the pressure sensor is pressed firmly against the carotid artery, so that the carotid artery is close to the underlying bone, and the artery is flattened. The pressure signal output by the pressure sensor is recorded. Then, an electronic blood pressure monitor is used to measure the systolic and diastolic blood pressure of the brachial artery. The carotid artery pressure is calibrated using the brachial artery pressure value, assuming that the diastolic and mean pressures of the brachial and carotid arteries are equal. The pressure waveform is recorded for 5 seconds, corresponding to approximately 5-7 cardiac cycles.

[0039] This allows for the measurement of arterial blood pressure using a blood pressure measurement module, and the acquisition of pressure data from superficial arteries in the target area during the cardiac cycle, ensuring the accuracy of calculating vascular dynamic parameters and enhancing clinical guidance value.

[0040] According to one embodiment of this application, the data processing module 130 includes processing hardware and processing software disposed on the processing hardware. The processing software is used to analyze and fit blood vessel cross-sectional image data and pressure data.

[0041] According to one embodiment of this application, the data processing module 130 is used to: analyze and fit blood vessel cross-sectional image data and pressure data, and determine the principal dynamic parameters of blood vessels in the target area based on the analysis and fitting results, including: calculating the blood vessel radius based on the blood vessel cross-sectional image data; calculating the absolute blood pressure value based on the pressure data and reference blood pressure; generating a relationship curve between blood vessel pressure and radius based on the blood vessel radius and the absolute blood pressure value, and determining the principal dynamic parameters of blood vessels in the target area based on the relationship curve.

[0042] According to one embodiment of this application, the data processing module 130 is used to: obtain pressure and radius data under different states from the relationship curve; input the pressure and radius data into an optimization function, use the optimization function to invert the unknown parameters in the explicit relationship between pressure and radius, calculate the arterial main dynamic parameters through the explicit relationship; calculate the active parameter difference between the arterial main dynamic parameters under different states, and generate the vascular main dynamic parameters of the target region based on the arterial main dynamic parameters and the active parameter difference under different states.

[0043] Understandably, the data processing module mainly consists of a computer and the software mounted on it. It is primarily responsible for processing image data from the ultrasound module and data from the blood pressure measurement module, analyzing and fitting the data to obtain the main vascular dynamic parameters.

[0044] For example, the data processing module acquires images of blood vessel cross-sections obtained from the ultrasound measurement module, measures the intraluminal area and wall thickness of the blood vessel frame by frame, and obtains blood pressure through calibration. Subsequently, it performs integrated analysis of geometric and pressure data. The data processing module analyzes and fits the data to obtain the main vascular dynamic parameters. The analysis algorithm is efficient, and the analysis results are stable and reliable.

[0045] According to one embodiment of this application, the display output module 140 includes a display that displays the vascular dynamic parameters of the target region.

[0046] Understandably, the display output module mainly consists of a monitor.

[0047] For example, after the main vascular dynamic parameters are analyzed and fitted by the data processing module, they are output to the user via screen display. For multiple measurements, the data is output to the user in the form of data changing over time. This method of displaying current data on the screen in real time and presenting multiple measurement results changing over time allows users to intuitively perceive the data, meets users' needs for timely data access, and enhances the value of data in decision-making.

[0048] According to an embodiment of this application, a device for measuring vascular principal dynamic parameters acquires geometric data through an ultrasound measurement module and blood pressure data through a blood pressure measurement module. A data processing module processes and analyzes the geometric and blood pressure data, and a display output module outputs the vascular principal dynamic parameters. This device stably characterizes the changes in vascular principal dynamic parameters across different physiological states and directly reflects changes in the active contractile capacity of arterial smooth muscle. It achieves in vivo, non-invasive measurement of arterial principal dynamic properties, playing a crucial role in cardiovascular disease diagnosis and health monitoring. Therefore, it solves the problem that most related technologies limit the measurement of arterial mechanical properties to the characterization of arterial dynamic parameters and provides a device for measuring vascular principal dynamic parameters.

[0049] The following describes the usage of the vascular dynamics parameter measuring device based on a specific embodiment: 1. Have the subject in at least two different pre-set states, and perform ultrasound measurements (specific locations and parameters should be clearly defined) and blood pressure measurements (it is recommended to record systolic and diastolic blood pressure, etc., and use consistent measurement conditions) in each state. Two sets of states can be set up as examples: one is the resting sitting and standing state versus the resting supine state; the other is the resting state versus the recovery state after specified resistance exercise.

[0050] 2. Use an ultrasound measurement module to measure the cross-section of the carotid artery and acquire pulsation images of the vessel cross-section over time. In practice, gently place the ultrasound probe on the skin surface along the short axis of the carotid artery, avoiding any compression of the vessel to prevent alteration of its true morphology due to external force. Adjust the tilt angle of the ultrasound probe so that the probe's imaging plane is perpendicular to the local vessel, ensuring the vessel cross-section is displayed as centrally as possible within the imaging field of view. Record the ultrasound image for approximately 5 seconds, corresponding to approximately 5-7 cardiac cycles.

[0051] 3. Measure carotid artery blood pressure using the blood pressure measurement module. Press the pressure sensor firmly against the carotid artery, ensuring it is close to the underlying bone and flattened. Record the pressure signal output by the sensor. Then, use an electronic blood pressure monitor to measure the brachial artery systolic and diastolic pressures. Calibrate the carotid artery pressure using the brachial artery pressure value, assuming the diastolic and mean pressures of the brachial and carotid arteries are equal. Record the pressure waveform for 5 seconds, corresponding to approximately 5-7 cardiac cycles.

[0052] 4. The data processing module analyzes and fits the data to obtain the main vascular dynamic parameters.

[0053] 5. The display output module outputs the measured vascular dynamic parameters to the user in a screen display manner. For multiple measurements, it outputs the data to the user in the form of data changing over time.

[0054] In summary, the carrier-based measuring device for measuring vascular main dynamic parameters of this application realizes in vivo non-invasive measurement of arterial main dynamic properties.

[0055] The method for measuring vascular dynamic parameters according to embodiments of this application is described below with reference to the accompanying drawings.

[0056] based on Figure 1 The device for measuring vascular principal dynamic parameters shown below will be used to describe the method for measuring these parameters. Figure 3 As shown, the method for measuring the main vascular dynamic parameters includes the following steps: In step S101, cross-sectional image data of superficial arteries in the target area are acquired; In step S102, pressure data of superficial arteries in the target area during the cardiac cycle are acquired; In step S103, the cross-sectional image data of blood vessels and pressure data are analyzed and fitted, and the main dynamic parameters of blood vessels in the target area are determined based on the analysis and fitting results.

[0057] According to one embodiment of this application, the main vascular dynamic parameters of the target region are determined by analyzing and fitting vascular cross-sectional image data and pressure data, including: calculating the vascular radius based on the vascular cross-sectional image data; calculating the vascular absolute pressure value based on the pressure data and reference blood pressure; generating a vascular pressure-radius relationship curve based on the vascular radius and the vascular absolute pressure value; and determining the main vascular dynamic parameters of the target region based on the relationship curve.

[0058] Understandably, the ultrasound measurement module obtains images of the blood vessel cross-section, measures the intraluminal area of ​​the vessel frame by frame, and approximates the vessel radius based on the area. Methods for measuring the vessel area include, but are not limited to, circle fitting algorithms, neural network models, etc. The blood pressure measurement module obtains the blood vessel pressure. If the blood vessel pressure is obtained through indirect measurement methods, then calibration is needed to obtain the true blood pressure. The absolute blood pressure value is calculated based on the pressure data and reference blood pressure. Combining the radius and pressure data, a pressure-radius relationship curve is obtained.

[0059] For example, an image of a blood vessel cross-section is obtained from an ultrasound measurement module, and the image is segmented using a convolutional neural network. Figure 4 As shown in figure a, the area obtained is denoted as... A The radius of the blood vessel is approximately calculated from its area. r ( ),like Figure 4 As shown in b; the skin surface pressure waveform generated by vascular pulsation is obtained by a pressure sensor and calibrated by combining it with the brachial artery pressure value obtained by an electronic blood pressure monitor. The calibration principle is to assume that the diastolic pressure and mean pressure of the brachial artery and carotid artery are equal, thereby obtaining the absolute pressure value of the carotid artery. P ,like Figure 4 As shown in Figure c. Combining the radius and pressure data, the pressure-radius relationship curve is obtained, as shown in Figure c. Figure 4 As shown in d. This curve will be used for fitting analysis of the main vascular dynamic parameters, and then the vascular dynamic parameters of the target region will be determined based on the curve relationship. This data analysis algorithm is efficient and the results are stable and reliable.

[0060] According to one embodiment of this application, determining the principal vascular dynamic parameters of a target region based on a relationship curve includes: obtaining pressure and radius data under different states from the relationship curve; inputting the pressure and radius data into an optimization function, using the optimization function to invert unknown parameters in the explicit relationship between pressure and radius, and calculating the principal vascular dynamic parameters through the explicit relationship; calculating the active parameter difference between the principal vascular dynamic parameters under different states, and generating the principal vascular dynamic parameters of the target region based on the principal vascular dynamic parameters and the active parameter difference under different states.

[0061] Understandably, the acquired pressure and radius data are input into an optimization function, which uses an iterative algorithm to obtain inversion parameters, and then calculates the arterial main dynamic parameters through explicit relationships. Further analysis of the arterial main dynamic parameters reveals that by calculating the differences between the arterial main dynamic parameters under different states, the active parameter difference is obtained, which can stably characterize the changes in vascular main dynamic parameters across different physiological states. Then, based on the arterial main dynamic parameters and the active parameter difference under different states, the vascular main dynamic parameters for the target region are generated. The final presented vascular main dynamic parameters include the arterial main dynamic parameters under different states and the active parameter difference.

[0062] For example, based on the (Pr) relationship curve, pressure and radius data under different states can be obtained, such as obtaining the pressure under the first state. P 1 and radius r 1. P 1 and r 1. The input is fed into the optimization function, which obtains the inversion parameters through an iterative algorithm, and then calculates the arterial aortic dynamic parameters in the first state through explicit relationships. K a (1) Obtain the pressure in the second state. P 2 and radius r 2. P 2 and r 2. The input is fed into the optimization function, which obtains the inversion parameters through an iterative algorithm, and then calculates the arterial aortic dynamic parameters in the second state through explicit relationships. K a (2) The difference Δ between the arterial main dynamic parameters in the first and second states is calculated. K a This is the difference in active parameters between the first and second states. Parameter Δ K a These are the main vascular dynamic parameters of the target area, which are then output to the user through the display output module.

[0063] This method can stably express the changes in vascular dynamic parameters under different physiological states, directly reflecting the changes in the active contractile ability of arterial smooth muscle.

[0064] According to one embodiment of this application, the explicit relationship expression of the vascular master dynamics parameter measurement method is as follows:

[0065] in, Indicates pressure, Indicates the radius of the blood vessel. This indicates that the blood vessel wall is thick. This represents the shear modulus of elastic fibers. Indicates the axial elongation ratio of blood vessels. This indicates the fiber elongation ratio corresponding to the maximum contractile force of smooth muscle. This indicates the fiber elongation ratio corresponding to the disappearance of smooth muscle contractility. Indicates the main dynamic parameters of the artery, Circumferential elongation ratio of blood vessels This represents the nonlinear hardening coefficient of collagen fibers; The expression for the optimization function is:

[0066] in, correspond A different state; This represents the number of discrete data points in each measurement group. This is the absolute pressure value of the blood vessel. This represents the actual pressure value measured under the current conditions.

[0067] Understandably, the absolute pressure value of blood vessels P That is, there is a relationship between theoretical pressure and actual blood vessel radius. The theoretical pressure-radius (Pr) relationship is as follows: .in W Let be the strain energy function of the blood vessel, which consists of the passive part ( ) and active part ( Together they constitute, that is, As a specific embodiment, the strain energy function of the passive component can be expressed as:

[0068] The strain energy function of the active component can be expressed as:

[0069] It should be noted that the two strain energy functions above are only specific examples, and other forms of strain energy functions are also possible. Substituting the strain energy functions of the active and passive components into the theoretical pressure-radius (Pr) relationship yields the explicit relationship between pressure and radius:

[0070] Correspondingly, the explicit relationship is only one specific example; different explicit relationships can be obtained by applying different forms of strain energy functions.

[0071] By measuring the patient's pressure and blood vessel radius data under different conditions, and substituting the radius into the explicit relationship between pressure and radius, the absolute blood vessel pressure value can be obtained. Through an iterative algorithm, the inversion parameters are obtained when the optimization function reaches its minimum value, where the core data... Further analysis was conducted to obtain the main vascular dynamic parameters.

[0072] For example, the pressure of the patient in the first state can be measured using a vascular master dynamics parameter measuring device. With radius , This represents the number of discrete data points in each measurement group. Substituting the parameters to be inverted into the explicit relationship between pressure and radius, the theoretical predicted pressure in the first state is obtained. ;Will Substituting the optimization function, and using an iterative algorithm, when the optimization function reaches its minimum value (which can be taken as a minimum value in the actual algorithm),... That is, to obtain the above inversion parameters. This represents the active vascular parameter values ​​in the first state. Similarly, using the same method and algorithm, the patient's parameters in multiple states were measured. Calculate the difference between the active parameters in any two states, i.e. , where i and j can be any two distinct integers between 1 and m, representing the active vascular parameter values ​​obtained under the corresponding physiological state. Parameters It exhibits good inversion stability and is therefore used as the final data output. This parameter has a clear mechanical meaning, representing the change in the intensity of active contraction of blood vessels under two different physiological states.

[0073] The data processing method for the main arterial dynamic parameters can be used to obtain the changes in the main dynamic properties of blood vessels under different physiological states, and has the characteristic of data stability.

[0074] It should be noted that the foregoing explanation of the embodiment of the vascular main dynamic parameter measuring device also applies to the vascular main dynamic parameter measuring method of this embodiment, and will not be repeated here.

[0075] According to the method for measuring vascular principal dynamic parameters proposed in this application, cross-sectional image data of superficial arteries in the target area are obtained; pressure data of superficial arteries in the target area during the cardiac cycle are obtained; the cross-sectional image data and pressure data are analyzed and fitted, and the vascular principal dynamic parameters of the target area are determined based on the analysis and fitting results, thereby realizing in vivo non-invasive measurement of the vascular principal dynamic properties.

[0076] Therefore, the device and method of this application can measure the changes in the main dynamic properties of blood vessels between different physiological states, and the measuring device is relatively simple and the data analysis algorithm is easy to integrate into the hardware system, which is convenient for clinical use.

[0077] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0078] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0079] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0080] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any of the following techniques known in the art, or a combination thereof: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (FPGAs), field-programmable gate arrays (FPGAs), etc.

[0081] Those skilled in the art will understand that all or part of the steps of the methods implementing the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0082] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A device for measuring vascular dynamic parameters, characterized in that, include: The ultrasound measurement module is used to acquire cross-sectional image data of superficial arteries in the target area; The blood pressure measurement module is used to collect pressure data of superficial arteries in the target area during the cardiac cycle; The data processing module is used to analyze and fit the blood vessel cross-sectional image data and the pressure data, and determine the main dynamic parameters of the blood vessels in the target region based on the analysis and fitting results; The display output module is used to display the main vascular dynamic parameters of the target area.

2. The vascular dynamics parameter measuring device according to claim 1, characterized in that, The ultrasound measurement module includes an ultrasound host and an ultrasound probe. The ultrasound probe performs ultrasound detection on the skin surface of the target area, and the ultrasound host generates cross-sectional image data of the superficial arteries in the target area based on the ultrasound detection data of the ultrasound probe.

3. The vascular dynamics parameter measuring device according to claim 2, characterized in that, The ultrasound host includes a radio frequency transmitter, a radio frequency receiver, and a focused acoustic radiation force end, and the ultrasound probe is a linear array probe or a dot array probe composed of multiple single array elements.

4. The vascular dynamics parameter measuring device according to claim 1, characterized in that, The blood pressure measurement module includes at least one of a pressure sensor, a photoelectric sensor, an analog-to-digital converter, and a bridge amplifier.

5. The vascular dynamics parameter measuring device according to claim 1, characterized in that, The data processing module includes processing hardware and processing software mounted on the processing hardware. The processing software analyzes and fits the blood vessel cross-sectional image data and the pressure data.

6. The vascular dynamics parameter measuring device according to claim 1, characterized in that, The display output module includes a display that shows the main vascular dynamic parameters of the target area.

7. A method for measuring principal vascular dynamic parameters, characterized in that, The method is applied to the data processing module of the vascular main dynamic parameter measurement device according to any one of claims 1-6, and the processing software of the data processing model performs the following steps: Obtain cross-sectional image data of superficial arteries in the target area; Acquire pressure data of superficial arteries in the target region during the cardiac cycle; The cross-sectional image data of the blood vessel and the pressure data are analyzed and fitted, and the main dynamic parameters of the blood vessel in the target region are determined based on the analysis and fitting results.

8. The method for measuring vascular dynamic parameters according to claim 7, characterized in that, The step of analyzing and fitting the cross-sectional image data of the blood vessel and the pressure data, and determining the principal dynamic parameters of the blood vessel in the target region based on the analysis and fitting results, includes: Calculate the blood vessel radius based on the blood vessel cross-sectional image data; Calculate the absolute vascular pressure value based on the pressure data and reference blood pressure; A relationship curve between vascular pressure and radius is generated based on the vascular radius and the vascular absolute pressure value, and the main vascular dynamic parameters of the target region are determined based on the relationship curve.

9. The method for measuring vascular dynamic parameters according to claim 8, characterized in that, The step of determining the principal vascular dynamic parameters of the target region based on the relationship curve includes: Obtain pressure and radius data under different conditions from the aforementioned relationship curve; The pressure and radius data are input into an optimization function, which is then used to invert the unknown parameters in the explicit relationship between pressure and radius. The arterial main dynamic parameters are then calculated using the explicit relationship. Calculate the difference in active parameters between the main arterial dynamic parameters under different states, and generate the main vascular dynamic parameters of the target region based on the main arterial dynamic parameters under different states and the difference in active parameters.

10. The method for measuring vascular dynamic parameters according to claim 9, characterized in that, The expression for the explicit relation is: in, This indicates the pressure. This represents the radius of the blood vessel. This indicates that the blood vessel wall is thick. This represents the shear modulus of elastic fibers. Indicates the axial elongation ratio of blood vessels. This indicates the fiber elongation ratio corresponding to the maximum contractile force of smooth muscle. This indicates the fiber elongation ratio corresponding to the disappearance of smooth muscle contractility. This represents the main dynamic parameters of the artery. Circumferential elongation ratio of blood vessels This represents the nonlinear hardening coefficient of collagen fibers; The expression for the optimization function is: in, correspond A different state; This represents the number of discrete data points in each measurement group. This refers to the absolute pressure value of the blood vessel. This represents the actual pressure value measured under the current conditions.

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