115 results about "Blood vessel diameter" patented technology

The invention discloses an integrated interventional venous valve and a preparation method thereof. The integrated interventional venous valve comprises a valve stent, a valve leaflet and a skirt; the valve stent comprises a first annular grid stent, a second annular grid stent and a straight rod for connecting the first annular grid stent and the second annular grid stent; the skirt edge covers the inner and outer surfaces of the first annular grid bracket and the second annular grid bracket; the valve leaflet is arranged on the straight rod, one side of the valve leaflet is connected with the skirt edge, and the free surface of the other side of the valve leaflet is arc-shaped; according to the integrated interventional venous valve, the valve leaflet and the skirt edge cover the inner surface and the outer surface of the valve support, so that the valve support, the valve leaflet and the skirt edge do not need to be fixed through sewing, the problems of complexity and potential tearing risk of split type processing are solved, and by arranging the material and the structure of the valve support, the integral interventional venous valve can be manufactured. And the valve leaflet free surface has a bionic arc shape, so that the integrated interventional vein valve can adapt to the diameter change of a blood vessel.

The invention relates to the technical field of image processing, and discloses a pulmonary embolism focus segmentation method and system based on image recognition, and a storage medium. The method comprises the following steps: extracting a multi-level blood vessel topological structure of a CTPA image through blood vessel diameter gradient analysis; modeling blood vessel density distribution by using a Weibull mixed model to obtain embolism characteristic parameters; the pixel embolism probability is estimated through variational Bayesian reasoning, and a focus distribution diagram is generated; performing multi-scale feature fusion on the lesion probability graph to obtain a segmentation boundary; and obtaining a final embolism focus segmentation result based on the vascular connectivity constraint optimization boundary. The problems that blood vessel level differentiation processing cannot be achieved, and accurate probability modeling and anatomical constraint verification are lacked are solved. The accuracy of pulmonary embolism focus segmentation is improved.

The invention provides a real-time processing method for endoscopic image blood vessel enhancement and microcirculation evaluation, which comprises the following steps of: processing an original endoscopic image, and locally enhancing a brightness channel through a contrast-limited adaptive histogram equalization technology; self-adaptive frequency domain-space domain decomposition is realized based on local texture complexity analysis; performing multi-scale Hessian matrix blood vessel detection on the low-frequency component; applying a directional Gabor filter bank to the high-frequency component; spatial-temporal feature fusion is realized through multi-resolution pyramid optical flow calculation; synchronously completing blood vessel probability prediction, blood vessel diameter estimation and blood flow direction prediction by using a lightweight multi-task deep learning network; the blood flow velocity is analyzed and calculated based on a speckle mode, the perfusion density is subjected to accelerated statistics through an integrogram, and vascular morphological parameters are extracted by adopting an improved skeleton algorithm. According to the invention, an enhanced blood vessel visualization effect and a real-time microcirculation quantitative evaluation function can be provided, and the overall improvement of the endoscope image processing quality and efficiency is realized.

Disclosed is an intraluminal imaging system, including an intraluminal imaging catheter or guidewire configured to be positioned within an anatomy of a patient, and a processor circuit in communication with the imaging catheter or guidewire, wherein the processor circuit is configured to receive a plurality of cross-sectional images of the anatomy from the imaging catheter or guidewire. The processor is further configured to compute, using image processing of at least one of the cross-sectional images, a value of the anatomy, estimate a cross-sectional shape of the anatomy to be circular, calculate a diameter of the anatomy based on the computed value and the estimated circular shape, and output the diameter of the anatomy to a display.

The invention relates to the technical field of model reconstruction, in particular to a method for reconstructing a coronary artery model based on coronary artery angiography. The method comprises the following steps: acquiring a coronary artery scanning image of a patient; performing three-dimensional coronary artery space structure construction on the coronary artery image of the patient to generate a three-dimensional coronary artery space model; performing blood vessel diameter analysis on the three-dimensional coronary artery space model to generate coronary artery blood vessel diameter data; acquiring an X-ray angiography image of a patient; performing coronary artery vein structure construction on the X-ray angiography image of the patient to generate a three-dimensional coronary artery vein model; and performing blood vessel wall thickness analysis on the three-dimensional coronary artery vein model to generate coronary artery blood vessel wall thickness data. According to the method, multi-modal modeling is carried out by combining the coronary artery scanning image and the X-ray angiography image of the patient, anomaly analysis is carried out on the coronary artery, and the accuracy and reliability of coronary artery model reconstruction are improved.

The invention relates to the technical field of blood vessel stenosis grading, in particular to a blood vessel stenosis degree grading system based on coronary angiography images. The method comprises the following steps: dividing a vascular skeleton line of an angiography image into vascular segments based on a bifurcation point, and determining a stenosis point on the vascular segment according to the blood flow velocity difference of the vascular segment at the front edge position of a contrast agent in each frame of angiography image and a neighborhood angiography image; according to the blood vessel diameter difference between each bifurcation point and the other bifurcation points and the distance between the other bifurcation points and the main blood vessel section, a reference adaptation degree is obtained, a reference point of each bifurcation point is selected, and according to the blood flow speed difference between each bifurcation point and the branch blood vessel section of the reference point and the reference adaptation degree, narrow points in the bifurcation points are screened; and grading the blood vessel stenosis degree based on the blood vessel diameter of the stenosis point. The blood vessel skeleton line is divided into two conditions of the blood vessel segment and the bifurcation point to analyze the blood vessel physiological stenosis position, and the accuracy of positioning the pathological stenosis position in the coronary artery is improved.

The present invention relates to the technical field of medical image processing, and disclosed are a method and device for calculating blood flow at any position of a blood vessel tree. The method comprises: acquiring angiography image sequences, and performing structure extraction on images in the angiography image sequences to obtain two-dimensional blood vessel skeleton lines; performing three-dimensional reconstruction on the basis of the two-dimensional blood vessel skeleton lines to obtain a three-dimensional blood vessel model; determining a corresponding target blood vessel area on the basis of the three-dimensional blood vessel model, and calculating corresponding average blood flow in the target blood vessel area on the basis of transfer frame quantities corresponding to the angiography image sequences; reconstructing a reference blood vessel diameter on the basis of a corresponding blood vessel diameter in the target blood vessel area, and determining a blood vessel stenosis area on the basis of the blood vessel diameter and the reference blood vessel diameter; and calculating corresponding target blood flow at a target position in the target blood vessel area on the basis of the blood vessel stenosis area and the average blood flow. According to the present invention, blood flow at any position of blood vessels can be accurately calculated.

The invention relates to a blood flow parameter measuring device, equipment, a storage medium, an ultrasonic probe and a system, and belongs to the field of medical instruments. The blood flow parameter measuring device comprises a first obtaining module used for obtaining a first measuring parameter obtained by a first transducer group in an imaging mode; the second acquisition module is used for acquiring a second measurement parameter acquired by the second transducer group in the imaging mode or the Doppler blood flow detection mode; the first measurement parameter and the second measurement parameter both comprise a blood vessel position, a blood vessel depth, a blood vessel diameter and a Doppler included angle; the correction module is used for performing combined calculation on the first measurement parameter and the second measurement parameter and correcting the blood vessel diameter and the Doppler included angle; and the monitoring module is used for monitoring hemodynamic parameters of the target object according to the corrected blood vessel diameter and Doppler included angle. According to the technical scheme, the stable hemodynamics evaluation result can be output.

The invention belongs to the technical field of medicines, and particularly relates to application of penicillin tenuipes in preparation of a product for preventing or treating ischemic encephalopathy, cell experiments and animal experiments show that penicillin tenuipes has a good treatment effect on cerebral thrombosis and middle artery embolism, can obviously improve behavioral scores after ischemia, and can be used for preparing a medicine for preventing or treating ischemic encephalopathy. And cerebral thrombus and blood vessel diameter conditions. The penicillin tenuipes also has an anti-inflammatory effect. Therefore, the compound can be used for preparing medicines for preventing or treating ischemic encephalopathy.

State of art techniques for measurement of blood viscosity, RBC concentration and the like are in vitro methods. Embodiments of the present disclosure provide a method and system for in vivo non-invasive measurement of blood parameters using Laser Enabled Swept Frequency Acoustic Interferometry (LE-SFAI) principle. A Continuous Wave Laser diode based Photo Acoustic (CWPA) signal in frequency domain generated from laser excitation incident on a biological tissue of a subject carrying blood vessel is acquired by the ultrasound sensor and converted to a windowed time domain CWPA signal limited to two peaks. The signal characteristics such as risetime, amplitude, and time difference between first peak and the second peak are obtained to derive blood viscosity, Red Blood Corpuscles (RBC) concentration, and blood vessel diameter.

The microcatheter comprises a catheter body, the catheter body is of a multi-layer composite structure, and the catheter body sequentially comprises an outer layer, a middle layer and an inner layer from outside to inside; a first conical section and a second conical section are arranged on the two sides of the outer layer respectively, and the first conical section and the second conical section are symmetrical about the central axis of the catheter; an inclined plane is formed at the joint of the first conical section and the outer layer part as well as the joint of the second conical section and the outer layer part, and the included angle alpha between the inclined plane and the axis of the outer layer is 5-30 degrees; the maximum outer diameter of the first conical section and the maximum outer diameter of the second conical section are larger than the outer diameter of the catheter body. The outer diameter of the expandable cavity in the unexpanded state is the same as that of the catheter body, the maximum outer diameter of the expandable cavity in the expanded state is 1.5-3 times of the outer diameter of the catheter body, and the expandable cavity is located on the first conical section. Gradient distribution of mechanical properties is achieved through a multi-layer composite structure, the middle layer and the inner layer provide balance of support and flexibility, the outer layer forms a fluid resistance structure through the conical sections which are symmetrically arranged, geometric parameters of the conical sections of the outer layer are cooperatively controlled, a structural anti-reflux barrier is established on the premise that the overall trafficability of the guide pipe is kept, and the service life of the guide pipe is prolonged. Meanwhile, the size change design of the conical section can adapt to dissection environments with different blood vessel diameters.

This invention provides an ultrasound image processing method for identifying blood vessels in an ultrasound image and displaying them in the ultrasound image. [Solution] An ultrasonic image processing method is provided that is performed by a computing device, comprising the steps of: receiving a plurality of consecutive ultrasonic frames including a blood vessel; determining the diameter of the blood vessel for each of the plurality of consecutive ultrasonic frames using a neural network; generating the current diameter of the blood vessel corresponding to the current frame by integrating the plurality of blood vessel diameters determined in the plurality of consecutive ultrasonic frames; determining a display mode for a label relating to the blood vessel based on the current diameter; and displaying the label in the current frame according to the determined display mode.

The present application relates to the technical field of blood vessel stenosis grading, and particularly relates to a blood vessel stenosis degree grading system based on coronary angiography images. The present application divides the blood vessel skeleton line of the angiography images into blood vessel segments based on bifurcation points, determines the stenosis points on the blood vessel segments according to the blood flow velocity difference of the contrast agent front position of the blood vessel segments in each frame of the angiography images and its neighboring angiography images, obtains the reference adaptation degree according to the blood vessel diameter difference of each bifurcation point and the rest bifurcation points, and the distance between the rest bifurcation points and the main blood vessel segment, selects the reference point of each bifurcation point, screens the stenosis points in the bifurcation points according to the blood flow velocity difference of the branch blood vessel segments of each bifurcation point and its reference point and the reference adaptation degree, and grades the blood vessel stenosis degree based on the blood vessel diameter of the stenosis points. The present application divides the blood vessel skeleton line into blood vessel segments and bifurcation points to analyze the physiological stenosis position of the blood vessel, and improves the accuracy of positioning the pathological stenosis position in the coronary artery.

Systems and methods for a good x-ray quality with as low a radiation exposure for a patient as possible. The method provides control settings for recording a series of x-ray images by an x-ray device during a flow of contrast agent through a liquid-filled hollow organ of a patient. The method includes the following steps: selecting a frame rate f, which, with respect to the x-ray device used, contributes to at least 90% of the maximum adjustable frame rate, determining a contrast agent infusion rate R for the hollow organ, which generates a fill level of at least 75% in the hollow organ, using a vessel diameter d of the hollow organ and a flow speed v of the liquid of the hollow organ, determining an infusion duration t which represents a contrast agent bolus length as a function of the selected frame rate f, which infusion duration t generates an overlap of at most 25% between two consecutive x-ray images using the selected frame rate f, providing a first control setting in respect of the selected frame rate f for the x-ray device for recording the series of x-ray images and providing a second control setting in respect of the determined contrast agent infusion rate R and the determined infusion duration t.

Embodiments of the present invention relate to a method and apparatus for analyzing angiographic images. The method comprises: acquiring an angiographic image; detecting vascular stenosis sites and using a sub-image of the detected stenosis sites as a first image; performing binarization and image noise reduction to generate a first binary image; performing vessel identification to generate a vascular image; extracting a centerline from the vascular image in the first binary image without changing the topological properties of the vascular image to generate a first centerline; sorting pixels on the first centerline to generate a first pixel sequence; measuring the vascular diameter at each first pixel to generate a first diameter; identifying the vascular stenosis rate at each first pixel to generate a corresponding first stenosis rate; and returning the first pixel sequence, first diameter sequence, and first stenosis rate sequence as vascular stenosis analysis data for the angiographic image. The present invention can improve analysis accuracy.

The invention discloses a diabetic retinopathy assessment method and system, and relates to the technical field of retina image detection.The method comprises the steps that a stepped pressure signal is generated through an intraocular pressure device, high-resolution OCT equipment is synchronously triggered, full-period response of blood vessels from compensation to decompensation is covered, and the limitation of traditional single-time pressurization detection is broken through; the change rate of the diameter of the blood vessel is calculated in real time, the pressure gradient or interval time is dynamically adjusted when the threshold value is exceeded, and the detection efficiency is improved while safety is guaranteed; constructing a stress-strain model of a pressure-diameter scatter diagram, extracting an initial elastic modulus, a hardening turning point and a hysteresis coefficient for joint analysis, and solving the problem of high misjudgment rate of a single parameter; and triggering a risk level signal when the at least two characteristic parameters exceed the limit. Through a technical closed loop of dynamic stimulation-image analysis-multi-parameter diagnosis, an innovative means is provided for early warning and accurate intervention of diabetic retinopathy.

The invention discloses a coronary CTA image-based PCI drug balloon postoperative effect prediction method and system, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring clinical data of a plurality of patients before and after treatment, and processing and analyzing the clinical data; constructing a multi-dimensional input feature dictionary and carrying out effect prediction model training by taking the minimum diameter difference value of the blood vessels before and after treatment as a regression target; and inputting real-time data of a patient to the effect prediction model to output a predicted blood vessel diameter expansion gain value and a gain interval and postoperative expected FFR changes of the patient under the conditions of different balloon models, lengths and diameters, and according to the method, multi-modal clinical data are integrated, the immediate effect and the long-term effect of drug balloon implantation of the patient are predicted and evaluated, and the success rate of drug balloon implantation is improved. According to the method, features of different dimensions are integrated, personalized data processing and model selection and training are combined, a machine learning model for drug balloon postoperative effect prediction is constructed, and prediction is more accurate.

The application relates to the technical field of model reconstruction, in particular to a method for reconstructing a coronary artery model based on coronary angiography. The method comprises the following steps: acquiring a coronary artery scanning image of a patient; performing three-dimensional coronary artery spatial structure construction on the coronary artery image of the patient to generate a three-dimensional coronary artery spatial model; performing blood vessel diameter analysis on the three-dimensional coronary artery spatial model to generate coronary artery blood vessel diameter data; acquiring an X-ray angiography image of the patient; performing coronary artery blood vessel network structure construction on the X-ray angiography image of the patient to generate a three-dimensional coronary artery network model; and performing blood vessel wall thickness analysis on the three-dimensional coronary artery network model to generate coronary artery blood vessel wall thickness data. The application combines the coronary artery scanning image and the X-ray angiography image of the patient to perform multi-modal modeling, and performs abnormal analysis on the coronary artery, thereby improving the accuracy and reliability of the coronary artery model reconstruction.

A method and apparatus of automatically locating in an image of a blood vessel the lumen boundary at a position in the vessel and from that measuring the diameter of the vessel. From the diameter of the vessel and estimated blood flow rate, a number of clinically significant physiological parameters are then determined and various user displays of interest generated. One use of these images and parameters is to aid the clinician in the placement of a stent. The system, in one embodiment, uses these measurements to allow the clinician to simulate the placement of a stent and to determine the effect of the placement. In addition, from these patient parameters various patient treatments are then performed.

The invention relates to the technical field of image artifact recognition, in particular to an image recognition method for cardiovascular intervention postoperative complication risk prediction. The strip-shaped artifact structures are independently distributed in a regular manner and generally show the distinguishing characteristics of high consistency at the angle, and the strip-shaped artifact structures are screened out according to the linear texture distribution consistency condition; calculating the possibility of the artifact structure by combining the complex branch structure of the blood vessel, the sequential change of the diameter of the blood vessel and the characteristic that the contrast agent fluctuates along with blood flow, so as to screen out a tubular artifact structure with relatively low conformity with the blood vessel characteristics; the finally obtained banded artifact structure and tubular artifact structure representing the artifact area are more accurate, and compared with a target detection method, the image recognition processing method based on machine learning is higher in efficiency.

Some embodiments of the disclosure provide a measuring method and measuring apparatus of a blood vessel diameter of a fundus image. In some examples, the measuring method include the following steps: acquiring a fundus image, generating a blood vessel segmentation image based on the fundus image, performing resolution enhancement on the blood vessel segmentation image, extracting blood vessel skeletons from the enhanced blood vessel segmentation image and performing fitting on the blood vessel skeletons to obtain a continuous blood vessel skeleton and a vessel diameter measurement direction of measurement pixel points, generating a blood vessel contour corresponding to the measurement pixel points based on the enhanced blood vessel segmentation image, and calculating a blood vessel diameter corresponding to the measurement pixel points based on a number of blood vessel pixel points in the blood vessel contour.

The invention provides a training method, a recognition method, a system and equipment for a fistula anomaly recognition model. The training method comprises the steps that a training data set is acquired, the training data set comprises a plurality of pieces of sample data, and each piece of sample data comprises fistula anomaly recognition influence parameters and corresponding sample anomaly recognition results; wherein the fistula abnormity identification influence parameters comprise fistula tremor signals and blood flow and / or blood vessel diameter; and training a preset model based on the plurality of sample data to obtain a fistula anomaly recognition model. According to the method, the fistula tremor signal, the blood flow and / or the blood vessel diameter and the corresponding sample anomaly recognition result are jointly used as the sample data to train the model, the accuracy of the fistula anomaly recognition model is improved, anomaly recognition can be performed on the fistula in real time, accurate evaluation about the internal arteriovenous fistula blood vessel function is provided for doctors, and the accuracy of the fistula anomaly recognition model is improved. Therefore, various complications of internal arteriovenous fistula can be timely and accurately treated, and the safety of a patient is guaranteed.

Systems and methods are provided for initializing an ultrasound procedure for a target region. The method includes determining a distribution of vessel diameters of vasculature in a target region. The method also includes providing, at the target region, microbubbles having a size distribution related to the distribution of vessel diameters.

The invention provides an interventional operation ultrasonic imaging method and system, and aims to solve the problems that the manual switching efficiency of an ultrasonic probe is low, and a single probe is difficult to adapt to different blood vessel forms and dynamic environments, so that guide wire positioning lags behind, and the operation risk is high. The system comprises an ultrasonic imaging device used for collecting, processing and displaying ultrasonic images in real time; a probe assembly is installed on an end effector of the multi-degree-of-freedom mechanical arm, and the probe assembly comprises a convex array probe and a linear array probe which can be switched; the control module automatically switches probe types according to the diameter of the blood vessel identified in the ultrasonic image: when the diameter of the blood vessel is detected to be greater than a preset threshold value, the control module controls the mechanical arm to rotate the end effector so as to switch to the convex array probe; when it is detected that the diameter of the blood vessel is smaller than or equal to the preset threshold value, the mechanical arm is controlled to rotate the end effector to be switched to the linear array probe. By recognizing environmental parameters such as the diameter of the blood vessel in real time, automatic and rapid switching of the probe is achieved.

This application provides a method, device, equipment, and medium for detecting vascular stenosis. The method includes: acquiring a binary image of a blood vessel diameter curve; determining a convex hull and multiple initial straight lines forming the convex hull in the binary image; determining multiple target straight lines from the initial straight lines, and performing line fitting on each target straight line to obtain multiple fitted straight lines and a fitted line equation corresponding to each fitted line; determining reference diameter information for each target center point in the binary image based on the fitted line equation corresponding to each fitted line; and determining at least one stenotic segment in the blood vessel and the stenosis rate corresponding to each stenotic segment using the equivalent diameter information of each target center point and the reference diameter information of each target center point. The detection method and device improve the accuracy and robustness of detecting vascular stenosis segments and stenosis rates.

The invention relates to a balloon diameter control method, a balloon diameter control device, a microcirculation perfusion system, microcirculation perfusion equipment and a storage medium. The method comprises the following steps: determining a preset filling volume according to input data; the input data comprises at least one of a balloon model, a balloon batch and a target blood vessel diameter; the microcirculation system is started, and the first balloon pressure and emptying calibration parameters are determined; according to the first balloon pressure and the emptying calibration parameter, adjusting a preset filling volume to obtain an updated filling volume; the updated filling volume is input into the target calculation model, and the balloon diameter is output; the target calculation model comprises a calculation equation of the balloon diameter. Therefore, the preset filling volume of the balloon can be accurately calculated according to factors such as the balloon model, the balloon batch, the first balloon pressure and the emptying calibration parameters, the balloon diameter output by the target calculation model is more accurate, and then the precision of the microcirculation system for controlling the balloon expansion diameter is improved.

To enable users to easily identify potential placement locations for intravascular electrodes that are close to the source of the nerve activity being measured. [Solution] The medical image processing apparatus according to the embodiment comprises a vessel diameter image generation unit, a distance image generation unit, a device implantation position candidate identification unit, and a display control unit. The vessel diameter image generation unit generates a vessel diameter image representing the size of the vessel diameter inside the brain from a cerebral vessel image taken of the blood vessels of the brain. The distance image generation unit identifies a target position corresponding to the neural activity that is the target of measurement inside the brain, based on an image relating to at least one of the functional areas of the brain and the arrangement of nerves inside the brain, and generates a distance image showing the distance to the identified target position. The device implantation position candidate identification unit identifies a position on the vessel where both the vessel diameter and the distance from the target position satisfy a specified criterion, based on the vessel diameter image and the distance image, as a candidate for device implantation position. The display control unit highlights the identified implantation position candidate on an image representing the brain.

A catheter system (100) for treating a treatment site (106) within or near a vessel wall (108A) of a vessel (108) includes a balloon (104), a first assembly illumination source (366), and a contact detector assembly (142). The balloon (104) may be positioned at the treatment site (106) substantially adjacent to the vessel wall (108A). The balloon (104) has a balloon wall (130) that defines a balloon interior (146). The first assembly illumination source (366) generates a first assembly illumination beam (366B) that moves in a first direction (121F) to the balloon interior (146). The contact detector assembly (142) is configured to optically analyze a first return energy beam (366R) from the balloon interior (146), the first return energy beam (366R) moving in a second direction (121S) opposite the first direction (121F), the contact detector assembly (142) is configured to analyze the first return energy beam (366R), the second direction (121S) moving in a second direction (121S) opposite the first direction (121F), and the contact detector assembly (142) is configured to optically analyze the first return energy beam (366R). The balloon wall (130) and the blood vessel wall (108A) are configured to determine a contact condition between the balloon wall (130) and the blood vessel wall (108A).

The invention discloses a method for determining hemodynamic parameters, an ultrasonic device and a computer storage medium. The method comprises: emitting an ultrasound beam along at least two directions including a target region of a blood vessel; receiving an ultrasonic echo to obtain an ultrasonic echo signal; determining a velocity component of the velocity of the blood flow in each of the at least two directions according to the ultrasonic echo signal; determining the vector velocity of the blood flow in the blood vessel according to each velocity component; determining a change function of the cross-sectional area of the blood vessel along with time; and determining the blood flow in unit time according to the change function of the cross section area along with time and the vector speed. Visibly, in the process of calculating hemodynamic parameters such as blood flow and blood vessel wall shear stress, the change of the blood vessel cross section area and the change of the blood vessel wall position caused by the change of the blood vessel diameter are considered; therefore, the calculated hemodynamic parameters such as the blood flow volume and the blood vessel wall shear stress are more accurate.

The invention provides a traditional Chinese medicine monomer composition for preventing and treating glucocorticoid osteoporosis and hypertension. The composition comprises the following active ingredients: beta ecdysterone, pinoresinol diglucoside and syringin according to a molar concentration combination ratio of 1: 1: 2. The invention also discloses application of the traditional Chinese medicine monomer composition in preparation of medicines or health-care foods for preventing and treating glucocorticoid osteoporosis and hypertension. The traditional Chinese medicine monomer composition can effectively improve the spine mineralized bone mass, the spine bone density, the alkaline phosphatase activity, the blood vessel diameter and the blood pressure resistance of a zebrafish model with the osteoporosis and hypertension co-disease induced by glucocorticoid. In addition, by inhibiting oxidative stress and cell apoptosis caused by glucocorticoid, bone formation is promoted, angiogenesis is promoted, and then the osteoporosis and angiotension state is improved. The traditional Chinese medicine monomer composition can effectively prevent and relieve osteoporosis and vascular adverse reactions caused by glucocorticoid, and has good application and development prospects.