155 results about "Blood vessel diameter" patented technology

The invention discloses a coronary angiography image blood vessel segmentation system based on multi-scale feature fusion. According to the invention, through the innovative design of the adaptive morphological sensing module, the system can dynamically analyze the anatomical structure characteristics of the blood vessel: the differentiable morphological operation layer converts the corrosion expansion operation into a learnable feature extraction process, so that the network can autonomously identify the gradient change and boundary trend of the blood vessel wall; the dynamic nuclear adaptation mechanism adjusts the scale and direction of morphological operation in real time according to the local blood vessel diameter and curvature characteristics, interference of surrounding tissues in a main blood vessel area can be inhibited, and continuous expression can be enhanced for capillary branches. Through deep fusion of dissection driving and data driving, the topological structure integrity of a segmentation result at a blood vessel bifurcation point and a narrow lesion area is remarkably improved, and the common problems of blood vessel fracture and misconnection in a traditional method are effectively avoided.

The invention discloses a microcirculation blood vessel automatic segmentation and quantification method based on enhanced feature fusion. The method comprises the following steps: step 1, data preparation and preprocessing; 2, designing an enhanced feature fusion network model; step 3, automatically segmenting microcirculation blood vessels; and 4, quantifying the diameter of the blood vessel based on the segmentation result. According to the enhanced feature fusion network model provided by the invention, accurate segmentation of microvessels is realized through fusion and enhancement of multi-scale features. The model shows good generalization ability on diversified clinical image data through effective data enhancement, and can adapt to image data with different illumination conditions, contrast ratios and resolutions. Therefore, the model has high practicability and reliability in practical application. According to the method, the diameter of the blood vessel is quantified through the segmentation result, the diameter of the microvessel can be accurately measured, and powerful support is provided for evaluation of the clinical microcirculation function.

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.

The invention discloses a standardized cerebrovascular feature extraction method and device and a medium, and relates to the field of cerebrovascular feature extraction, and the method comprises the steps: calculating the blood vessel length and the blood vessel volume based on a target cerebrovascular three-dimensional segmentation image, and determining a blood vessel center line based on Voronoi covariance measurement; according to the blood vessel center line, the blood vessel diameter, the blood vessel curvature radius, the blood vessel bending degree, the blood vessel bifurcation angle and the blood vessel bifurcation density are calculated; performing nonlinear registration on the target cerebrovascular three-dimensional segmented image and a preset standard brain template to obtain a plurality of target standard cerebrovascular partitions and individual feature results in each target standard cerebrovascular partition; and performing group level analysis on the target cerebrovascular three-dimensional segmented image based on a voxel morphological measurement method to obtain a group feature result. According to the invention, multi-level standardized, accurate and stable cerebrovascular feature extraction can be 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.

Coronary artery disease is the most common disease in the cardiovascular field and is also one of important factors causing death in the global range, and by conducting blood vessel segmentation and stenosis detection on coronary angiography images, doctors can diagnose the coronary heart disease more accurately. The invention provides a brand new deep learning architecture SAM-VMNet, and the model combines the powerful feature extraction capability of MedSAM and the linear complexity advantage of a visual state space model of VM-UNet, so that the model has higher reasoning speed and stronger data processing capability than Transformer, and higher segmentation accuracy and stability of coronary angiography images are realized. Moreover, a'dynamic queue 'is used for capturing the narrow part of the blood vessel, and the narrow part is compared with the normal blood vessel diameter before and after the narrow part, so that quantitative calculation of the blood vessel stenosis degree is realized. The algorithm is high in operation speed, and full-automatic blood vessel contour extraction and stenosis degree detection can be achieved. The kit can be applied to the clinical diagnosis process of coronary heart disease.

The invention provides a method for measuring the geometric morphology of a carotid artery. The method is used for carrying out quantitative analysis on a three-dimensional structure of the carotid artery. According to the method, an improved Fast Marching algorithm is utilized to automatically generate parameterized center lines of all blood vessel branches of the carotid artery bifurcation, a maximum inscribed sphere is defined on the center lines, the radius of the inscribed sphere is determined by calculating the minimum distance from each point on the center lines to the blood vessel wall, and the local blood vessel diameter is calculated based on the radius. A Gaussian weighted average method is adopted to obtain the blood vessel feature diameter; based on the parameterized center line and the weighted average diameter, a series of carotid artery geometric morphology parameters are calculated, and the carotid artery geometric morphology parameters comprise a weighted blood vessel diameter ratio, a bifurcation angle tensor and a normalized curvature index; the method is high in automation degree and high in reliability, manual measurement errors are reduced, and objective and accurate quantitative indexes are provided for early diagnosis and risk assessment of carotid artery diseases.

An ultrasound diagnostic apparatus (1) includes a first vascular wall detection unit (10) that detects a vascular wall in a minor axis direction by analyzing a B-mode image including a minor axis image of a blood vessel, a first blood vessel diameter calculation unit (11) that calculates a first blood vessel diameter from the vascular wall in the minor axis direction, a second vascular wall detection unit (12) that detects a vascular wall in a major axis direction by analyzing the B-mode image including a major axis image of the blood vessel, a second blood vessel diameter calculation unit (13) that calculates a second blood vessel diameter from the vascular wall in the major axis direction, a blood flow velocity calculation unit (15) that calculates a blood flow velocity based on Doppler data in a Doppler gate set on the B-mode image, and a blood flow rate measurement unit (16) that measures a blood flow rate based on the vascular wall in the major axis direction or the minor axis direction and the blood flow velocity, in which in a case where the second blood vessel diameter is within a determined range with respect to the first blood vessel diameter, the blood flow rate is automatically measured.

The invention relates to the technical field of blood pressure detection, and discloses a blood pressure detection method and system, electronic equipment and a readable storage medium. In the blood pressure detection method, an imaging picture including the position of a blood vessel can be firstly obtained through ultrasonic B scanning, and the position of the blood vessel, the center coordinate of the blood vessel and the initial diameter of the blood vessel can be determined through the imaging picture; furthermore, ultrasonic signals can be transmitted to the position where the blood vessel is located through ultrasonic A scanning, ultrasonic echo signals are obtained, and the diameter of the blood vessel is obtained based on the ultrasonic echo signals. And calculating the pulse wave conduction velocity based on the diameter waveforms of the two different positions on the blood vessel. Finally, the blood pressure value can be calculated through the blood vessel diameter and the pulse wave conduction speed. In this way, real-time monitoring of the blood pressure of the user can be achieved through the intelligent wearable device.

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.

In part, the disclosure relates to determining a stent deployment location and other parameters using blood vessel data. Stent deployment can be planned such that the amount of blood flow restored from stenting relative to an unstented vessel increases one or more metrics. An end user can specify one or more stent lengths, including a range of stent lengths. In turn, diagnostic tools can generate candidate virtual stents having lengths within the specified range suitable for placement relative to a vessel representation. Blood vessel distance values such as blood vessel diameter, radius, area values, chord values, or other cross-sectional, etc. its length are used to identify stent landing zones. These tools can use or supplement angiography data and / or be co-registered therewith. Optical imaging, ultrasound, angiography or other imaging modalities are used to generate the blood vessel data.

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 discloses an extravascular stent, and relates to the technical field of medical instruments. The extravascular stent comprises a first sleeve joint piece, a second sleeve joint piece and a third sleeve joint piece, the first sleeving piece is suitable for being arranged on the periphery of a vein in a sleeving mode, a plurality of deformation grooves are formed in the first sleeving piece, the area between every two adjacent deformation grooves is hollowed out, and the deformation grooves are used for enabling the first sleeving piece to adapt to the diameter change of the vein; the second sleeving piece is connected with one side of the second end of the first sleeving piece, and the second sleeving piece is suitable for being connected to the periphery of the artery blood vessel on the upstream side in a sleeving mode; the third sleeving piece is connected with the other side of the second end of the first sleeving piece, and the third sleeving piece is suitable for being connected to the periphery of the artery blood vessel on the downstream side in a sleeving mode. According to the extravascular stent provided by the invention, the structural design is improved, the mounting convenience of the extravascular stent is improved, the operation time is shortened, the adaptability of the extravascular stent to the diameter change of a vein is improved, the material cost is saved, and the treatment cost is reduced.

The invention provides a neurosurgery medical image analysis method and system based on image processing, and relates to the technical field of medical image processing, and the method comprises the steps: collecting a to-be-processed medical image through a medical image device; performing image preprocessing on the to-be-processed medical image to obtain a processed medical image; according to the processed medical image, blood vessel parameters are determined, and the blood vessel parameters comprise the blood vessel diameter and the blood vessel wall thickness; determining a blood vessel safety detection score according to the blood vessel parameters; determining a lesion feature discrimination coefficient according to the processed medical image; and generating a medical image analysis report according to the blood vessel safety detection score and the lesion feature discrimination coefficient. According to the invention, the medical image can be comprehensively analyzed through the two aspects of the blood vessel safety condition and the lesion characteristics, and the comprehensiveness and the accuracy of neurosurgery medical image analysis are improved.

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 an image processing method and device based on guiding catheter features, equipment and a medium. The method comprises the following steps: acquiring an angiography image of a target blood vessel and an IVUS image of the target blood vessel, calculating the actual physical size of each pixel of the angiography image based on a guide catheter feature image in the angiography image, acquiring a target blood vessel diameter set of the angiography image based on the actual physical size of the pixels, and determining the diameter of the target blood vessel according to the features of the target blood vessel in the IVUS image. And acquiring a blood vessel lumen diameter set of the IVUS image, and matching the target blood vessel diameter set with the blood vessel lumen diameter set to obtain a registration result of the angiography image and the IVUS image. According to the invention, the position of the IVUS image can be matched with the exact position of the IVUS image on the blood vessel route map obtained by coronary artery angiography.