49 results about "Microvessel" patented technology

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

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 application discloses a composition for lightening dark circles under eyes containing camellia chrysantha extract and a preparation method and application thereof, and relates to the technical field of cosmetics.The composition comprises component A, component B and component C;the component A comprises andrographis paniculata extract and camellia chrysantha extract;the component B comprises ubiquinone and safflower extract;and the component C is menthol lactate.The andrographis paniculata extract, the camellia chrysantha extract, the ubiquinone, the safflower extract and the menthol lactate are combined to have a synergistic effect; the composition formed by the specific combination of the components can promote blood microcirculation, inhibit microvascular generation, increase epidermal thickness, relieve cell hypoxia and eye fatigue, reduce blood vessel type dark circles, relieve redness and strengthen skin, and is mild and non-irritating to skin, and is suitable for people with sensitive skin.

This invention discloses an AI model-based system for predicting microvascular invasion in liver cancer. In this invention, the focus on key information in multimodal data is enhanced through attention weight calculation within the model construction submodule, strengthening the capture of subtle features related to microvascular invasion in liver cancer. By focusing attention on key time frames of abnormal blood flow in ultrasound contrast-enhanced videos and lesion areas closely associated with microvascular invasion in CT images, the system avoids being distracted by a large amount of irrelevant normal tissue data. This reduces ineffective learning of non-critical information, improving the specificity of predictions. Through loss calculation and optimization updates, the efficiency and stability of model training are improved, enhancing its adaptability to real-world clinical data. The optimized update formula can quickly adjust the model's internal parameters, allowing the model to converge stably to a reliable predictive state without spending excessive time on trial and error, reducing prediction fluctuations caused by data differences.

This application discloses a method and system for microvascular anastomosis modeling and effect prediction in assisted spermatic cord anastomosis, relating to the field of data processing technology. The method includes: extracting the pampiniform plexus topology and varicose vein segments from a three-dimensional vascular tree model of the spermatic veins constructed based on spermatic cord vessel images; determining candidate diversion inlet locations based on the spatial adjacency relationship between the obstructed reflux nodes identified by the varicose vein segments and the pampiniform plexus topology; spatially registering the contour of the inferior epigastric vein segmented from the superficial vein images of the inguinal region with the candidate diversion inlet locations to generate a diversion anastomosis path planning map; constructing the geometric configuration of the end-to-side anastomosis and performing hemodynamic simulation to generate a wall shear stress distribution field, assess the thrombosis tendency of the end-to-side anastomosis, and generate a postoperative patency rate prediction value. This application can predict the risk of thrombosis preoperatively through hemodynamic simulation, providing a reliable basis for surgical planning and effectively improving the success rate of the surgery.

This invention discloses a reactive oxygen species (ROS)-responsive nanocomposite for targeting and repairing damaged endothelium, its preparation, and its application, belonging to the field of nanomedicine technology. The nanocomposite comprises a physalicylate-copper nanoparticle core and a P-selectin-targeting polypeptide linked to the core surface via thiol-copper affinity. The physalicylate-copper nanoparticle core is prepared by coordination of physalicylate and copper ions to form a primary complex, followed by ascorbic acid reduction. This composite nanosystem can specifically recognize and accumulate in the blood vessels and peritubular regions of the kidney injury area, releasing Cu in response to high concentrations of ROS in an inflammatory environment. 2+ Together with HBT, it simultaneously achieves antioxidant and anti-inflammatory functions, promotes angiogenesis and repair, and inhibits the release of inflammatory factors and macrophage infiltration and activation, effectively blocking the fibrosis process. This system has a well-defined structure and strong targeting, and can effectively rebuild microvessels, reduce inflammation, and block the process of renal fibrosis, providing a highly efficient and precise new nanomedicine strategy for the anti-fibrotic treatment of kidney diseases.

This invention discloses a traditional Chinese medicine composition for improving diarrhea, belonging to the field of traditional Chinese medicine technology. Addressing the shortcomings of existing antidiarrheal techniques, which only treat the symptoms and not the root cause, have significant side effects, high recurrence rates, and easily cause damage to the intestinal microcirculation, this invention is based on the original microscopic pathogenesis of small intestinal microvascular spasm and ischemia, and abnormal intestinal fluid metabolism. It is prepared by combining peppermint, angelica dahurica, nutmeg, cinnamon, platycodon grandiflorus, and angelica sinensis. The synergistic effect of each herb can target and relax spasmodic small intestinal microvessels, restore normal intestinal blood perfusion, regulate intestinal peristalsis rhythm, bidirectionally regulate intestinal fluid secretion and reabsorption, and simultaneously block abnormal stress signals in the brain-gut axis, repairing intestinal microcirculatory damage. This invention has a scientifically formulated composition, mild medicinal properties, and no side effects. It addresses the root causes of various acute, chronic, and functional diarrheas caused by cold stimulation, emotional stress, and spleen deficiency with cold stagnation, exhibiting strong curative effect and an extremely low recurrence rate, possessing high clinical promotion and application value.

The application discloses a kind of blood vessel microfluidic device and method suitable for glycolipid drug test, the device constructs three-dimensional biomimetic microvessel chip using induced pluripotent stem cells, and integrates multiple sensors;Through integrated environmental control module, programmed blood flow loading and drug exposure are realized.Intelligent analysis system includes multimodal intelligent observation module, based on microscope imaging and artificial intelligence speed measurement technology, three-dimensional flow field is inverted;Microcirculation digital twin module reconstructs blood vessels based on medical imaging and constructs calibratable hemodynamic model, for simulation and prediction;And wet-dry interaction module, through two-way interface, realizes "experiment-simulation" closed loop, injects entity data into digital twin to calibrate, and converts the prediction instruction of digital twin into chip control command to drive verification experiment.The system realizes complete technical chain from biomimetic model construction, intelligent observation, digital twin simulation to active experiment optimization.

This invention discloses a traditional Chinese medicine composition for assisting in the improvement of hand-foot-mouth disease in infants and young children, belonging to the field of traditional Chinese medicine technology. The composition consists of eight medicinal herbs: lotus leaf, coix seed, angelica dahurica, kudzu root, platycodon root, agastache rugosa, cimicifuga rhizome, and dandelion, with a defined optimal medicinal ratio. Based on the seasonal differences in the pathogenesis of hand-foot-mouth disease, this invention targets the core pathologies of winter (cold congestion of microvessels, water and sodium retention, and internal heat generation) and spring and summer (hypothalamic sympathetic activation, increased heart rate, and visceral heat overload). It also addresses the technical deficiencies of clinical Western medicine, cold-natured traditional Chinese medicine, calamine lotion, and diuretics, such as vasoconstriction, kidney damage, central nervous system disorders, increased skin exudation, and rebound water retention. This invention employs a combination of warming and cooling herbs, regulating the ascending and descending functions, and promoting diuresis and protecting the body's vital energy. The synergistic effects of these herbs can dilate spasmodic microvessels, improve renal perfusion, stabilize abnormal heart rates, stabilize the hypothalamic center, and assist in antagonizing enteroviruses. By targeting and reducing abnormal permeability of skin capillaries with Angelica dahurica and Platycodon grandiflorus, it reduces blood extravasation and inhibits the formation and exudation of herpes from the root cause. This invention has mild medicinal properties, is suitable for all seasons, and has high safety. It can effectively improve symptoms of hand-foot-mouth disease such as fever, herpes, irritability, and cold extremities, reduce the risk of severe illness, antagonize the toxic side effects of commonly used clinical drugs, and is suitable for the delicate constitution of infants and young children, possessing good prospects for clinical application and promotion.

This invention relates to the field of medical image processing technology, specifically to a method for constructing an intelligent segmentation model for magnetic resonance imaging (MRI) images. The method includes: acquiring LGE-CMR images; constructing a cardiac region localization network, which is used to locate the cardiac region in the LGE-CMR image; and constructing a region-of-interest (ROI) intelligent enhancement module, which enhances the RIO based on the output of the cardiac region localization network. This invention achieves automatic cardiac region localization by constructing a cardiac region localization network, and combines this with the RIO intelligent enhancement module to selectively adjust contrast and sharpness to highlight lesion areas. Furthermore, it incorporates a feature fusion module from a multi-scale, multi-class segmentation network to enhance the feature expression of small regions. This allows for automated multi-class segmentation of myocardial scars and microvascular occlusions, solving the problems of time-consuming manual segmentation and inter-observer errors. It also avoids the difficulty of existing automatic segmentation models in simultaneously and accurately identifying three types of regions and the possibility of missed or false detections of small regions.

Systems and apparatuses are included that are configured to determine an effectiveness of apparatus and methods used to diagnose and unblock microvascular obstruction (MVO). An infusion system blocks antegrade flow for a short time and measures vascular pressure response as an infusate is infused in stepwise fashion at increasingly higher flow rates. During the antegrade flow occlusion, calculations of a real-time vascular resistance can be obtained using a formula R(t)=(t) / Qmean(t) where: Qmean (t) is flow mean values generated by the infusion system; P(t) is a distal pressure response in a vessel generated from the infusion of the infusate; and R(t) is the calculated real-time vascular resistance using the two other known parameters.

This invention belongs to the field of medical image processing technology, specifically relating to a method and apparatus for quantitative analysis of microvessels in pulmonary nodules in chest CT images. The analysis method of this invention includes the following steps: Step 1, preprocessing the chest CT image; Step 2, segmenting the chest CT image using a convolutional neural network model to obtain images of the pulmonary airways, pulmonary vessels, and lung tissue; Step 3, detecting pulmonary nodules in the chest CT image using the convolutional neural network model, extracting lesions, and extracting microvessels around the lesions and within the pulmonary nodules; Step 4, calculating the microvessel density value based on the extraction results of Step 3. This invention also provides an apparatus suitable for the above analysis method. This invention can non-invasively, rapidly, and accurately display the microvessel density value in pulmonary nodules and around lesions in three dimensions, and provide precise quantitative data. It has significant clinical and socioeconomic value.

The application discloses a kind of comprehensive microcirculation diabetes condition assessment system and method based on multi-modal parameters, belong to medical detection technical field.The system includes: multi-modal data integration acquisition module, for synchronous acquisition nail fold microcirculation video image of the finger and the toe of diabetic patient, blood oxygen saturation data and temperature, humidity data;Data processing and analysis module is used to process the microcirculation video image, extracts microvessel morphology and dynamics parameters, and is fused with blood oxygen saturation, temperature, humidity data, forms multi-modal feature vector;And condition assessment module is used to input the multi-modal feature vector to pre-trained condition assessment model, and outputs comprehensive assessment report about user diabetes microcirculation disorder grade, condition progression risk and complication tendency.The application is through non-invasive, synchronous comparison finger and toe multidimensional physiological parameters, solves the single problem that diabetes extremity distal microcirculation detection lags behind in the prior art, realizes early, dynamic and accurate assessment to diabetes condition.

The application discloses a degradable spinal fusion cage with a bone inductive microporous structure and belongs to the technical field of orthopedic implant medical devices. The fusion cage is integrally made of a degradable polymer composite material, the inside of the main body is provided with a bionic gradient microporous structure which is interconnected, and the surface of the fusion cage is provided with an active coating layer with a slow-release function. The mechanical property of the product is adapted to the physiological bearing requirement of the spine, the product can be steadily degraded along with the bone tissue regeneration process after being implanted into the human body, can effectively guide the bone tissue and microvessels to grow in, and can improve the intervertebral fusion efficiency; meanwhile, the problems of stress shielding, postoperative infection and the need for secondary removal surgery existing in traditional metal implants are solved, the product has good biocompatibility, the structure is reasonable, the preparation process is simple, and the product is suitable for clinical intervertebral fusion surgery of the spine.

This invention relates to the field of computer-aided diagnosis, and in particular to a breast tumor identification system based on multimodal ultrasound imaging. The breast tumor identification system provided by this invention performs the following steps: acquiring a first ultrasound modality breast image, and locating a suspected first breast tumor region in the first ultrasound modality breast image; acquiring a second ultrasound modality breast image, and aligning the second ultrasound modality breast image with the first ultrasound modality breast image; based on the alignment result, locating a second suspected breast tumor region in the second ultrasound modality breast image corresponding to the suspected first breast tumor region; and identifying the confidence level of the breast tumor in the suspected second breast tumor region based on the distribution of microvessels in the suspected second breast tumor region. The breast tumor identification system based on multimodal ultrasound imaging provided by this invention, combining breast images from both the first and second ultrasound modalities, achieves more accurate breast tumor identification and localization, improving detection accuracy.

The present application relates to the technical fields of magnetic resonance and medicine, and discloses a magnetic resonance-based vascular structure analysis method and apparatus, a computer device, and a storage medium. The method comprises: acquiring a first T2 relaxation time and a second T2 relaxation time, wherein the first T2 relaxation time is a T2 relaxation time obtained by performing nuclear magnetic resonance imaging using an SE sequence, and the second T2 relaxation time is a T2 relaxation time obtained by performing nuclear magnetic resonance imaging using a GE sequence; performing calculations on the basis of the first T2 relaxation time and the second T2 relaxation time, and determining an average radius of blood vessels and microvascular density within lesion tissue; and performing medical analysis on the basis of the average radius of blood vessels and the microvascular density. Hence, the average radius of blood vessels and the microvascular density within the lesion tissue can be provided and subsequently analyzed, thereby enabling evaluation of the vascular condition of the lesion tissue and quantitative analysis of vascular changes in regions surrounding the lesion tissue, facilitating comprehensive treatment effects, and improving the accuracy of early tumor diagnosis.

Disclosed are methods and apparatuses for microvascular system imaging. In some embodiments, an apparatus for microvascular system imaging is a probe including at least one high-resolution image sensor module, at least one lens set, one or more optical filters, an illumination source, and a housing. In some embodiments, the lens set may be a miniature lens set. In some embodiments, the housing may be a tube structure. In some embodiments, the tube may be covered with a protective and / or sterile cover. The cover may be optically non-distorting. The imaging probe may additionally include a removable cap.

This invention relates to the field of healthcare technology, specifically to a stroke motor aphasia abnormality assessment system combined with TBS (Traumatic Brain Spectroscopy). The system includes a vascular abnormality analysis module, a point set acquisition module, a mismatch analysis module, and an operational adjustment module. The system generates microvascular abnormality indicators by detecting the concentrations of vascular endothelial growth factor (VEGF) and hypoxia-inducible factor (HIF); simultaneously extracts EEG frequency band energy and near-infrared oxyhemoglobin concentration, and obtains neural excitation point sets and blood flow response point sets through maximum search; based on the microvascular abnormality indicators, it amplifies the blood flow response amplitude and performs spatiotemporal weighted matching on the two types of point sets to obtain the degree of mismatch reflecting the true supply and demand relationship; furthermore, it calculates the cumulative abnormality coefficient by combining the multi-cycle mismatch degree to achieve TBS operational adjustment. This scheme overcomes the shortcomings of traditional methods that rely on strict signal alignment, effectively distinguishes between physiological time drift and decoupling, and improves the robustness of TBS operation.

The utility model relates to the technical field of medical orthopedics appliances, specifically relates to a microvessel generation stimulator, include: the fixed frame is installed with the stud and at least two support screws on it, the lifting frame is installed with at least one move screw on it, the lifting frame is equipped with the guide groove that support screw passes through, still include knob, the knob rotatablely installed on the lifting frame, the knob is equipped with knob inner thread through -hole, and the knob is connected with the stud through the knob inner thread through -hole, the knob includes operating part, and the operating part is located between the fixed frame and the lifting frame, taking the plane perpendicular to operating part rotation axis, the projection of operating part on the plane is recorded as a, the projection of lifting frame on the plane is recorded as b, and the projection of fixed frame on the plane is recorded as c, wherein, the projection b coincides with partial projection a, and the projection c coincides with partial projection a. The fixed frame and the lifting frame can form the shielding, the protection effect to operating part, thereby reduce the probability of false touch operating part.

The application belongs to the field of deep learning image segmentation, and discloses an OCTA image microvessel segmentation method fusing multi-view features, which comprises the following steps: splitting input 3D data and 2D image data as training set, verification set and test set respectively; meanwhile, obtaining the blood vessel label map of the 2D image; pre-processing and data enhancement are performed on the input data; the pre-processed 3D data is input into a 3D feature extraction network to extract multi-scale spatial features of the 3D image; the pre-processed 2D data is input into a 2D feature extraction network to extract multi-scale features of the 2D image; the 3D features and the 2D features are input into a cross-dimension feature fusion network to generate fusion features; the fusion features are input into a decoder to generate a prediction map of retinal blood vessels; the application can provide a more objective and accurate evaluation method for the diagnosis and research of diseases related to retinal blood vessels, and can quickly and accurately segment out retinal microvessels.

The present invention covers the use of chymase inhibitors in general and more in particular substituted bicyclically substituted uracils of general formula (I) as described and defined herein, and 3-methylbenzo-[b]thiophene)-2-sulfonamido derivatives of general formula (II) for manufacturing pharmaceutical compositions for the treatment or prophylaxis of stroke, pulmonary embolism, deep or superficial vein thrombosis, thrombotic microangiopathy, thrombotic microangiopathy in hypercoagulable states after infection, inflammation, transplantation, disseminated intravascular coagulation, vaccine-induced immune thrombotic thrombocytopenia, vascular access site thrombosis or occlusion.

Sickle cell disease (SCD) is a single gene disorder characterized by mutant hemoglobin-S (HbS) and chronic intravascular haemolysis. Painful vaso-occlusive crises (VOC) are typical of SCD and often associated to a further rise in hemolysis. VOC is the clinically painful form of vaso-occlusion, that is due to the aggregation of red blood cells in the capillaries and venules. Such event is promoted or aggravated by adhesion of polymorphonuclear neutrophils (PMNs) to red blood cells and the endothelium leading to tissue ischemia, inflammation and imperfect repair. Repeated vaso-occlusion and PMNs interactions with the vascular endothelium are thought to promote microvascular injuries in SCD patients. The inventors tested the effect of pharmacological inhibition of TREM-1 with LR12 peptide in two experimental vaso-occlusive crisis models. Additional validation of TREM-1 involvement in vaso-occlusion was verified using mice with sickle cell disease and Trem-1 gene deficiency. In particular, the inventors showed that TREM-1 inhibition is particular suitable for limiting the severity of vaso-occlusions. The results obtained by the inventors also suggest that plasmatic concentration of sTREM-1 could be a reliable biomarker for predicting vaso-occlusions and / or SCD-associated organ dysfunction and end-organ damage.

The application discloses a coronary microvessel angiogram intelligent segmentation method and relates to the technical field of image processing. The method comprises the following steps: acquiring a plurality of first regions based on each frame of gray difference value image; acquiring a microvessel probability corresponding to each first region based on each first region; acquiring a plurality of second regions based on each microvessel probability; superimposing each second region in each frame of gray difference value image to acquire an overlapping heat map; and segmenting and labeling coronary microvessels in each frame of time sequence angiogram based on the overlapping heat map. The application can effectively amplify the weak signal of microvessels with thin diameter and low contrast agent concentration by acquiring a plurality of time sequence angiograms and calculating gray difference value images to capture the dynamic gray change of microvessels in the contrast agent perfusion process, thereby breaking through the limitation of traditional methods that rely on static single-frame images and ignore time sequence information.

A method of treating scalp arteriovenous fistula may include introducing a micro-vascular plug into an affected blood vessel, positioning the micro-vascular plug at a site of a fistula, and securing the micro-vascular plug to occlude blood flow through the fistula. Such a method may also include conducting contrast-enhanced Magnetic Resonance Imaging of a brain to evaluate a scalp mass.

The application discloses an OCTA retinal microvessel branch angle automatic extraction and uveitis blood vessel leakage risk prediction method and device based on deep learning and principal component analysis, and the method comprises the following steps: pretreating an OCTA image; performing blood vessel segmentation by using a deep learning model to obtain a binary blood vessel graph; performing skeletonization and topological structure analysis on the blood vessel graph, and screening out terminal-level bifurcation points directly connected with terminal ends; for each terminal-level bifurcation point, pixel point coordinate sets are extracted along each branch, a local tangent vector is estimated by principal component analysis, and the smallest included angle is calculated as the branch angle of the bifurcation point; the angles of all terminal-level bifurcation points are quantified by mean value to obtain an average blood vessel branch angle; finally, the MVA and the patient age are input into a pre-established Firth penalty likelihood Logistic regression model, and a blood vessel leakage risk probability is output. The MVA index is accurately and automatically extracted, and a noninvasive and efficient quantitative prediction tool for uveitis blood vessel leakage risk is provided.

The present application relates to a retinal blood vessel segmentation method based on neural ordinary differential equation, which solves the defects of poor scale adaptability and insufficient extraction of fine blood vessel features compared with the prior art. The present application comprises the following steps: obtaining a retinal fundus image and pre-processing; constructing a retinal blood vessel segmentation network; training the retinal blood vessel segmentation network; obtaining the retinal blood vessel segmentation result of the fundus image. The encoder and decoder paths are stacked by the neural ordinary differential equation module, which uses its continuous dynamic characteristics to adaptively adjust the effective receptive field by calculating the feature derivative to adapt to different scale blood vessel features; the mixed attention perception module is located at the jump connection, which adopts the "asymmetric convolution decomposition" architecture, combines channel mixing and multi-scale spatial attention, and accurately captures fine linear blood vessel features while suppressing background noise.