318 results about "Microvessel" patented technology

The invention discloses an ultrasonic positioning microscopic imaging method and system based on joint resolution perception and vision Mangbar, and the method specifically comprises the steps: obtaining and preprocessing a plurality of modal angiography data, generating a microbubble motion sequence in combination with blood flow velocity field simulation data, and constructing a data set; inputting the data set into a mixed hierarchical feature pyramid fusion network, carrying out probability density estimation on a microbubble position based on a real-time multi-scale density field estimation algorithm, and introducing a resolution perception algorithm to enhance microbubble features to obtain a plurality of short-track images; performing dynamic feature decoupling and time-frequency analysis on the short-track image, extracting and encoding velocity component features and spatial-temporal context information of a vascular structure, and constructing a double-branch processing network based on visual Mangbar to obtain images respectively reflecting forward motion contribution and backward motion contribution, and finally generating a high-resolution blood vessel image through image fusion. The method has an important value for improving the efficiency and precision in microvascular imaging.

The invention relates to the technical field of medical robot systems, and discloses a nerve plexus intelligent positioning anesthesia puncture robot system based on multi-modal fusion, which performs time-space synchronization on ultrasonic image flow and contact force data. The frequency domain analysis module extracts a main peak frequency by using optical flow field frequency domain transformation, and generates a probability mask for marking pulsatile tissues. The viscoelasticity verification module calculates phase lag parameters of visual deformation and contact force, identifies tissue rheological properties and calculates a dynamic damping coefficient. The deformation compensation module calculates a mechanical residual error based on a reference mechanical model, and inversely calculates the mechanical residual error into space deformation displacement of the tissue. The feedback control module combines the probability mask and the deformation displacement to generate a motion instruction. According to the invention, through multi-modal data fusion, precise identification of tiny blood vessels, dynamic identification of tissue attributes and real-time compensation of soft tissue conceding deformation are realized.

The invention discloses an automatic retinal vessel segmentation method fusing large-kernel multi-scale cavity convolution and an attention mechanism, which is suitable for accurate extraction of a fine-grained vessel structure in a fundus image. According to the method, an improved deep neural network (LKD-UNet) is constructed, a collaborative receptive field module is embedded in each layer of an encoder, and large kernel convolution and multi-scale cavity convolution are combined to enlarge the receptive field and enhance the texture analysis capability; an efficient Transform module is introduced into a bottleneck layer, a cross-regional semantic relationship is modeled through a multi-head self-attention mechanism, and the topological consistency of microvessels is improved; the decoder adopts a shallow symmetric structure and a kernel scale scheduling strategy, and realizes high-resolution reduction in combination with jump connection. In addition, a four-category pixel-level error visualization mechanism is introduced and is used for assisting segmentation error diagnosis and result interpretation. Experimental results show that the method is superior to an existing mainstream model in multiple public data sets, has remarkable advantages in the aspects of segmentation precision, structural coherence and deployment efficiency, and is suitable for remote fundus screening and blood vessel extraction tasks in embedded medical equipment.

The invention relates to ultra-small prussian blue nano-particles (T-USPB-C) carrying tirofian, a preparation method of the nano-particles and application of the nano-particles in preparation of drugs for reducing MVO and MIRI. According to the preparation method, the T-USPB-C is prepared by three steps. The T-USPB-C provided by the invention can carry tirofiban, and has catalase and superoxide dismutase simulated nano-enzyme activity. Moreover, the size of the nano-scale drug is required to reach a nano-scale size, and the drug can be efficiently cleared through kidney excretion, so that the potential long-term toxicity problem is minimized. The ultra-small prussian blue nanoparticle carrying the tirofian has an excellent active oxygen scavenging capability. Microvascular perfusion can be rapidly improved through the antithrombotic effect, then the protection effect is continuously achieved through the anti-oxidation and anti-inflammatory mechanism, and microvascular injury and MIRI are effectively prevented.

The invention belongs to the technical field of biomedical tissue engineering materials, and particularly relates to injectable composite plastic gel and a preparation method thereof. The injectable plastic gel provided by the invention is formed by suspending and compounding the cross-linked sodium hyaluronate gel particles and the biological tissue extracellular matrix particles, the two material particles in the injectable composite plastic gel are uniform in size and controllable in size, other toxic catalysts do not need to be added in the preparation process, and the injectable plastic gel is easy to prepare. The collagen / elastin composite material is rich in collagen and elastin, and shows good biomechanical properties. Meanwhile, the composite plastic gel contains a plurality of bioactive factors, and after the composite plastic gel is injected and filled into a body, the composite plastic gel is slowly degraded and can promote the generation and ingrowth of autologous fat cells and microvessels, so that the balance of degradation and remodeling is achieved. The preparation method of the injectable plastic gel provided by the invention can be widely applied to the fields of plastic surgery, medical beauty and the like.

The invention relates to the technical field of medical image processing, and discloses an adversarial generative network model for three-dimensional reconstruction of a brain cell-level vascular network. The model comprises a three-dimensional blood vessel feature extraction module, a dynamic attention generator, a multi-scale discriminator and the like. Characteristics are obtained through multi-modal medical image data (magnetic resonance angiography and confocal microscope scanning data), and high-precision vascular network three-dimensional reconstruction is realized by utilizing cooperative work of all the modules. The dynamic attention generator calculates the topological connection probability of the vascular branches, and the multi-scale discriminator globally and locally evaluates the reconstruction result. Meanwhile, model training is optimized through an adversarial training controller, and the blood vessel network is perfected through a capillary network completion module. According to the method, the advantages of multi-modal data are effectively fused, the reconstruction precision is improved, and powerful support is provided for research and diagnosis of brain vascular diseases.

The invention discloses a multi-task learning-based retinal vessel segmentation and analysis method and system, and relates to the technical field of medical image processing, and the method comprises the steps: introducing an EMCAD module into an R-Unet model, and carrying out the retinal vessel segmentation; designing an area percentage quantization function; a multi-task learning framework RetiVas-MTNet is constructed and is used for auxiliary diagnosis of eye diseases. The EMCAD module fuses a channel attention CAB mechanism and a space attention SAB mechanism: 1) generating a channel weight through adaptive maximum pooling and average pooling, and strengthening key channel features; (2) context connection of local features is established through large kernel convolution, and the space attention weight is calculated; according to the invention, the EMCAD module is introduced, so that the segmentation precision of the microvessels is improved; the blood vessel area percentage is quantitatively designed, so that the crossing from qualitative segmentation to quantitative diagnosis is realized; a multi-task learning framework RetiVas-MTNet provides a comprehensive solution for automatic diagnosis of eye diseases.

The invention provides application of a monascus composition in preparation of a medicine for preventing and / or treating coronary microcirculation disturbance. The monascus composition comprises one or more of cortex mori, ramulus mori and folium mori, monascus and radix puerariae. When the composition containing the red yeast rice is applied to preparation of the medicine for preventing and / or controlling coronary microcirculation disturbance, the abnormal microvascular structure can be improved (myocardial microvascular density MVD is increased, edema around microvessels is relieved, the lumen stenosis phenomenon is improved, and the endothelial cell condition is good); 2) microvascular occlusion is improved (pathologic results show that microvascular contents are reduced); (3) the abnormal vasodilatation and contraction function of the microvessels is improved (NO is increased); 4) improving blood lipid metabolism disorder; and (5) the heart function is improved (the left ventricular ejection fraction LVEF and the left ventricular short axis shortening rate LVFS are improved, and the left ventricular pressure maximum rising rate LV + dp / dtmax and the left ventricular pressure maximum falling rate LV-dp / dtmax are increased).

The invention relates to a retina nerve and blood vessel unit in-vitro three-culture model and a preparation method thereof, and belongs to the technical field of biology. The invention provides an in-vitro three-culture model of a retina nerve and blood vessel unit. The in-vitro three-culture model is obtained by carrying out in-vitro Transwell indirect co-culture on retina microvascular endothelial cells, retina ganglion cells and retina Muller cells. The in-vitro three-culture model of the retina nerve and blood vessel unit is based on a three-cell indirect co-culture method, retina microvascular endothelial cells, retina ganglion cells and retina Muller cells are simultaneously incorporated by utilizing Transwell, and the three cells are in indirect contact. The in-vitro three-culture model of the retina nerve and blood vessel unit can be used for more objectively simulating pathophysiological states of various cells of the retina nerve and blood vessel unit, so that common pathophysiological changes of mutual dependence and interaction of the three cells under in-vitro conditions can be observed.

The invention provides a tissue microvessel analysis method and system for assisting drug design based on artificial intelligence. The method comprises the steps that two channel images of a blood vessel marking channel and a nano probe channel are collected; carrying out preprocessing, registration and feature fusion on the two channel images to obtain a fusion feature tensor for simultaneously coding a blood vessel-nanoparticle space coupling relationship; extracting multi-scale structure information based on the fusion feature tensor to obtain an enhanced feature tensor; constructing double models based on a U-Net + + architecture, and combining the double models with an enhanced feature tensor to obtain a blood vessel mask, a nanoprobe mask and a preprocessed probe intensity graph; and obtaining a permeability index based on the blood vessel mask, the nano probe mask and the preprocessed probe intensity graph, and obtaining a blood vessel typing and drug recommendation design strategy by adopting a clustering and random forest regression algorithm. According to the method, the quantitative analysis precision and efficiency of the vascular permeability are remarkably improved, intelligent linkage of image analysis and a nano-drug design strategy is realized for the first time, and the method has good application potential.

The invention discloses a tumor heterogeneity analysis method and equipment based on super-resolution microscopic imaging, and relates to the field of medical image analysis. The method comprises the steps that a tumor imaging result is obtained, the tumor imaging result is generated through a super-resolution microscopic imaging technology, and the tumor imaging result comprises a tumor image; determining a target area of the tumor image; based on the tumor imaging result, quantitative analysis parameters are determined, and the quantitative analysis parameters are used for quantifying capillary features of at least two dimensions of tumor capillaries in the target area; on the basis of the quantitative analysis parameters, tumor heterogeneity analysis is conducted on different target areas, heterogeneity analysis results are obtained, and different target areas belong to the same tumor or different tumors. By adopting the scheme provided by the invention, the quantitative analysis parameters are generated based on the tumor imaging result, and quantitative analysis of tumor microvessel characteristics is realized, so that the accuracy of tumor heterogeneity analysis is improved.

The treatment system includes a limb sleeve containing a heating subsystem, a pressure subsystem, and a vibration subsystem. The heating subsystem provides controlled cyclic heating to the limb, leading to dilation of the microvasculature and improved blood flow to nerve receptors. The pressure subsystem provides progressively staged, cyclic pressure to the limb, thereby improving blood circulation to the limb, reducing edema buildup, and flushing waste out the lymphatic system. The vibration subsystem provides controlled vibrotactile sensation to the limb to promote neuronal stimulation and decrease pain sensation. The treatment system allows for a multi-faceted approach in disease stabilization and assistive, personalized treatment for peripheral neuropathy.

The invention relates to the field of artificial intelligence medical treatment, in particular to a multi-modal feature fusion analysis system and method for gynecological face diagnosis, and aims to improve the early diagnosis precision of gynecological diseases, the system fuses multispectral images and symptom text data, and captures capillary morphology and hemodynamic parameters through a microcirculation feature extraction module; the region mapping analysis module is combined with the face region-gynecological viscera knowledge graph to generate viscera abnormality scores; the endocrine cycle modeling module constructs a dynamic model based on historical data and monitors cycle abnormity; the semantic attention fusion module fuses the symptom text and the microcirculation features by using a bidirectional cross attention mechanism to form a fusion feature vector; the knowledge reasoning feedback module is used for generating a diagnosis result and a personalized conditioning scheme based on dynamic knowledge graph multi-path reasoning, and optimizing a diagnosis and treatment path. The system overcomes the limitation of a traditional two-dimensional RGB image, effectively captures the subepidermal microcirculation state, and provides an important basis for early diagnosis of gynecological diseases.

The invention belongs to the technical field of experiments and the field of anatomical research, and particularly relates to a self-developing vascular casting agent and a preparation method thereof. The invention discloses a preparation method of a self-developing vascular casting agent. The self-developing vascular casting agent is obtained by uniformly mixing iopromide, natural latex, II-type barium sulfate and pigment, wherein in parts by weight, the iopromide accounts for 30-40%; 25%-30% of natural latex; 40% of type II barium sulfate; and 5%-10% of pigment. The blood vessel casting agent developed by the invention is excellent in formula flowability (smooth perfusion), does not cause blockage, can avoid reverse osmosis of a capillary microenvironment, and realizes arteriovenous differentiated perfusion; and meanwhile, high-contrast development is realized, and complete coverage of capillary vessels is basically realized. The optimized blood vessel casting agent formula is completely cured (at room temperature) within 24 hours, the shrinkage rate is low, and blood vessel deformation is avoided.

The invention belongs to the field of intelligent medical treatment, and particularly relates to a method, equipment, medium and program product for predicting RMPP based on lung microvascular changes. The method comprises the following steps: S101, acquiring a CT image of a pediatric MPP patient; s102, the CT image is extracted to obtain a quantitative PBV parameter, the quantitative PBV parameter comprises BV10%, and BV10% refers to the percentage of the blood volume in a blood vessel with the blood vessel cross section area larger than 10 mm < 2 > in the total lung blood volume; and S103, if BV10% is higher than a first threshold value, judging that the pediatric MPP patient develops into a prediction result with high RMPP risk, and otherwise, outputting a prediction result with low RMPP risk. According to the application, the prediction effect on the occurrence and development of the RMPP is found by quantitatively measuring the microvascular change in the CT, and the clinical value of early diagnosis of the RMPP is realized, so that the clinical early treatment is driven.

This invention discloses a magnetically controlled balloon guidewire for microvascular revascularization and its manufacturing method. The magnetically controlled balloon guidewire for microvascular revascularization includes a magnetically controlled tip, a phase-change balloon, and a guidewire connected in sequence. This magnetically controlled balloon guidewire for microvascular revascularization can precisely navigate and flexibly steer, and the phase-change balloon can accurately navigate to the stenotic lesion site of the microvessel.

Disclosed is a method of treating patients with microvascular angina by using a combination of zibotentan and dapagliflozin.

The invention relates to an imbedding device for a nerve microvascular nerve decompression operation gasket under direct vision. The imbedding device comprises a tube assembly, a guide wire assembly, a decompression gasket and a pushing component, the tube assembly comprises a sheathing canal, a balloon and a gas transmission component, the balloon is arranged on the sheathing canal and close to the front end of the sheathing canal, and the gas transmission component is arranged on the sheathing canal and communicated with the balloon; the guide wire assembly is contained in the sheath tube, the guide wire assembly comprises a guide wire, at least two pull wires and a camera, a snake bone mechanism is arranged on the guide wire, the front end of the guide wire extends out of the front end of the sheath tube, the pull wires are connected to the snake bone mechanism, and the camera is arranged at the front end of the guide wire; the decompression gasket is of a cylindrical hollow structure and is arranged outside the sheath tube in a sleeving mode. The pushing component is arranged outside the sheathing canal in a sleeving mode and used for pushing the pressure reduction gasket towards the front end of the sheathing canal. The implantation device does not need to enter and exit from the opening repeatedly, operation of a doctor is simplified, the surgical operation difficulty is reduced, the surgical time is shortened, and the surgical risk is reduced.

The invention discloses a construction method of a coronary artery microcirculation disturbance cell model, and belongs to the technical field of biological medicine. According to the method, mouse heart microvascular endothelial cells (MCMEC) are taken as objects, tetrachlorohydroquinone (TCHQ) is used for treating for 6 hours at the concentration of 20-40 [mu] M, and CMD typical characteristics such as apoptosis, increase of reactive oxygen species (ROS), reduction of nitric oxide (NO) and release of inflammatory factors (TNF-alpha and IL-1beta) of the cells are induced. The TCHQ is applied to construction of the CMD model for the first time, and the model is stable, good in repeatability and capable of being used for CMD pathogenesis research and drug screening.

Provided are an image processing device, a medical system, a method for operating the image processing device, and a program with which it is possible to emphasize and suppress microstructures and capillaries in an image independently of an observation distance. This medical device is provided with a processor that acquires an image signal generated by imaging return light from a biological tissue, and generates a display image obtained by subjecting the image signal to either an emphasis process or a suppression process on the basis of local contrast information in the image signal, and an enhancement process for enhancing at least one of microstructure information relating to the microstructure and microvessel information relating to the microvessel, and a suppression process for suppressing at least one of microstructure information relating to the microstructure in the biological tissue and microvessel information relating to the microvessel in the biological tissue.

This invention discloses a wired dual-modal imaging capsule endoscopy system, belonging to the field of medical device technology. The system includes a capsule module, a transmission and control module, a dual-modal imaging module, and a signal analysis module. The capsule module is used to achieve 360° circumferential scanning imaging of the esophageal mucosa. The transmission and control module ensures stable transmission of optical and electrical signals and precise control of capsule movement. The dual-modal imaging module integrates an optical coherence tomography submodule and a photoacoustic imaging submodule to acquire tissue morphology information and microvascular distribution information, respectively. The signal analysis module processes the dual-modal signals. This invention achieves three-dimensional high-resolution integrated imaging of the esophageal mucosa without the need for exogenous labeling agents, significantly improving the detection accuracy of early esophageal cancer and precancerous lesions.

The invention provides a lung-kidney interaction simulation system based on an organ chip, and the system comprises a lung chip module which is used for simulating a qi-blood barrier structure of a lung, and the lung chip module is inoculated with human alveolar epithelial cells and human lung microvascular endothelial cells; the kidney chip module is used for simulating a capillary lumen of a kidney tubule and a kidney tubule lumen structure, and human kidney tubule epithelial cells and human umbilical vein endothelial cells are inoculated on the kidney chip module; the connecting channel is used for communicating the lung chip module with the kidney chip module and allowing the culture medium to flow between the lung chip module and the kidney chip module; and wherein a klebsiella pneumoniae liquid for causing lung injury is applied to the upper layer of the lung chip module. The invention provides a novel simulation system for the research of lung-kidney interaction, and solves the limitation of animal experiments.

A pro-inflammatory and vasoconstrictor and endothelin-1 (ET-1) are pathogenic molecules related to a series of cardiovascular diseases. Unlike ET-1 signaling for vasoconstriction of the main artery, we have proven herein that coronary microvessels exhibit a unique signaling mechanism for constriction (independent of PKC, CPI-17, and intracellular calcium storage). The pathophysiological level of ET-1 acts preferentially on the microvessels to exert persistent vasoconstriction by activating Rho kinase upon binding to ETAR of the ET-1 receptor. The ETAR antagonist BQ123 only blocks but cannot reverse vasoconstriction against ET-1. In contrast, ROCK inhibitors (e.g., H-1152) are effective to reverse arteriolar systole against ET-1. Thus, ROCK inhibition is a potent and specific choice for the treatment of coronary ischemic disease (abnormal vasoconstriction) associated with microvascular dysfunction due to excessive production of ET-1. The ROCK inhibitors may also be used to treat microvascular diseases associated with diabetic retinopathy as well as microvascular dysfunction caused by cancer therapy or immunosuppressive drugs. Since H-1152 can also reduce the basal tension of microvessels, a ROCK inhibitor is also a good diagnostic agent when used during angiography or by a non-invasive method.

Provided herein are methods of treating a cardiomyopathy and / or myocardial microvascular dysfunction, increasing myocardial capillary growth, reducing left ventricular hypertrophy, and / or reducing left ventricular dysfunction in a subject comprising administering an MDM2 inhibitor to the subject.

The invention relates to a deep learning fundus blood flow imaging method based on OCT amplitude and phase information, and belongs to the field of fundus blood flow imaging. An artificial neural network is used for fusing multi-modal information from OCT, multiple labels from OCTA are used for optimizing the network, and finally high-precision reconstruction of a blood flow image is achieved. Compared with the prior art, the method has the following outstanding advantages that firstly, phase information which is not fully utilized in a traditional method is creatively integrated, and the microvessel recognition sensitivity is remarkably improved through an amplitude-phase bimodal feature collaborative learning mechanism; secondly, a blood flow texture-blood flow position double-label supervised learning strategy is creatively provided, blood vessel position labels are introduced in a function loss stage, the network is assisted to accurately position the blood flow position, the characterization capacity of the network on capillary and other small blood vessel structures is effectively enhanced, and blood flow microcirculation visualization is achieved; and thirdly, blood flow information can be reconstructed by using single OCT scanning data.

The invention discloses application of phosphatidylserine-hydrocortisone microvesicles in preparation of a medicine for treating microvascular regeneration after cerebral apoplexy, and relates to the technical field of biomedicine. According to the microbubble, the blood brain barrier can be accurately opened through the ultrasonic vacuolation technology, the medicine can be delivered in a targeted mode, nerve protection and function improvement are accurately evaluated through ultrasonic super-resolution micro blood flow imaging, and microvessel regeneration is accurately regulated and controlled based on H3K18 lactic acid modification.

The invention provides a kidney blood vessel classification method, which is characterized in that the flow track, the average flow velocity and the flow direction information of each microbubble are extracted based on a two-dimensional ultrasound contrast image sequence, and the microbubble tracks are segmented and classified in combination with the flow velocity and the flow direction characteristics of blood vessel segments defined by a user; and finally reconstructing blood vessel images corresponding to different blood vessel segments. The method supports a user to set vascular segment categories and classification criteria according to physiological structures and blood flow characteristics of different areas, has high adaptability and interpretability, has the advantages of being easy and convenient to operate, clear in image visualization, high in structural discrimination degree and the like, and is suitable for non-invasive typing analysis and functional evaluation of kidney microvascular structures.

The invention belongs to the technical field of soft tissue injury risk assessment, and particularly relates to a deep foot soft tissue injury risk assessment method based on a macro-mesomechanical conduction model. The method comprises the following steps: acquiring plantar multi-dimensional force data in a gait by using a multi-dimensional force plate; the method comprises the steps of dividing a foot structure based on a foot image, establishing a macroscopic foot geometric model, segmenting a mesoscopic geometric model from the macroscopic foot geometric model, establishing a mesoscopic geometric model containing microvessels in the mesoscopic geometric model based on microvessel parameters, and establishing a macroscopic foot model and a mesoscopic microvessel model through a mechanical analysis technology. Carrying out cross-scale coupling and solving calculation on the macroscopic foot model and the mesoscopic capillary model; calculating a capillary closure degree parameter; and evaluating the soft tissue injury risk. The invention further relates to a pelma deep soft tissue injury risk assessment system which specifically comprises four modules. The problems that an existing soft tissue injury risk assessment technology lacks physiological indexes and is not high in accuracy are solved.

The present disclosure proposes a method and apparatus for imaging at a microscopic scale a region of an organ of a human or animal, allowing the use of a 2D subsampled ultrasound probe while providing 3D ULM images with high resolution usually obtained only with a full 2D array matrix, by sorting the detected microbubbles and keeping only the microbubbles corresponding to the spots belonging to the main lobe of the Point Spread Function (PSF) of the microbubble and removing the phantom microbubbles corresponding to the spots belonging to the side lobes. It is also possible to provide a 3D non-invasive imaging of the microvascular flow of the region of an organ, such as a brain in-vivo, with high resolution and high sensitivity.

The present invention discloses a method for recognizing CD34 immunohistochemical images of hepatocellular carcinoma and calculating microvessel density. This method addresses the problems of manual diagnostic methods, which are complex, time-consuming, and labor-intensive, and rely on extensive diagnostic experience. In order to more comprehensively assess the severity of hepatocellular carcinoma patients and guide subsequent treatment, the present invention employs a deep learning network to perform binary classification on images, which has strong generalization capabilities and high robustness. The generated probability heat map intuitively reflects the model recognition results. The calculation of microvessel density is highly interpretable, simple, and convenient, making it easy for doctors to operate and adjust.