14 results about "Ischemic region" patented technology

The invention relates to an ischemic cerebrovascular disease angiography image segmentation analysis method, which comprises the following steps: detecting gray transition abnormity, structural fracture and artifact delay signals in an angiography image, extracting negative segmentation priori points indicating a suspected ischemic area, aggregating to form a priori abnormal area, introducing a symmetric disturbance test mechanism, and analyzing the angiography image according to the priori abnormal area. Judging a potential blocked or abnormal blood vessel segment, and dynamically adjusting the segmentation threshold of the region; establishing a local interference window in the judgment region, extracting frequency and rhythm features of density stripes, and performing compensation segmentation on interrupted blood vessel segments caused by unsteady pulse change through a convolution kernel scaling strategy; calculating a texture difference value and a frequency domain response offset, if the offset is within a preset physiological tolerance range, triggering an interpolation completion mechanism, and generating a credible completion layer for subsequent calibration reference; and performing dynamic feedback adjustment and continuous calibration on the previously segmented path by analyzing the multi-path divergence degree of the vascular branch end point and the path offset change in the image sequence.

This invention relates to a method for segmenting and analyzing angiographic images of ischemic cerebrovascular diseases. It detects abnormal grayscale transitions, structural breaks, and artifact delay signals in angiographic images, extracts negative prior points indicating suspected ischemic areas, aggregates them to form prior abnormal regions, introduces a symmetric perturbation testing mechanism to determine potential occluded or abnormal vascular segments, and dynamically adjusts the segmentation threshold of the region. A local interference window is established within the determined region, and the frequency and rhythmic features of density stripes are extracted. Through the scaling strategy of the convolution kernel, discontinuous vascular segments caused by non-steady-state pulse changes are compensated for segmentation. Texture difference and frequency domain response offset are calculated. If the offset is within a preset physiological tolerance range, an interpolation completion mechanism is triggered to generate a reliable completion layer for subsequent calibration reference. By analyzing the multipath divergence degree of the vascular branch endpoints and the path offset changes in the image sequence, the previously segmented paths are dynamically adjusted and their continuity is calibrated.

The application discloses an acute ischemic stroke prognosis prediction method based on CTA images, relates to the technical field of medical image processing, and fuses a three-dimensional visual transformer and a meta-learning strategy to train a target prognosis prediction model based on the three-dimensional visual transformer and matched with a target data acquisition condition.The target prognosis prediction model can effectively model a spatial dependence relationship in a three-dimensional CTA image across regions and layers, significantly improves the recognition ability of complex cerebral vascular structures and ischemic regions compared with a traditional convolution network which only depends on a local receptive field, and further more, the introduction of the meta-learning strategy can improve the model generalization ability under small samples and multiple data acquisition conditions, so that the target prognosis prediction model directly takes the CTA image to be predicted as input to realize automatic prognosis prediction, does not need manual segmentation or feature extraction, avoids the dependence on manual experience in the traditional method, and improves the standardization degree and repeatability of the model application.

The invention discloses application of a compound high spot-nourishing tablet in preparation of a medicine for treating cerebral ischemia-reperfusion injury. A rat cerebral ischemia reperfusion injury model is established through middle cerebral artery embolism, and serum, pathology and infarction areas of rats are observed and detected. Results show that the neurological score of the model group ZeaLonga is significantly increased, pathological changes are large, proinflammatory factors TNF-alpha, IL-6 and IL-1beta are significantly increased, oxidation promoting MDA is significantly increased, and antioxidant SOD expression is significantly increased. And compared with a model group, the weight, the neurological score and the survival rate are obviously improved. The results of HE staining, TTC staining and TUNEL staining show that the nerve cell morphology, arrangement, infarct area and cell apoptosis condition of each administration group are obviously improved. The application provided by the invention can improve the behavior of rats, reduce the infarct area, protect nerve cells and reduce the apoptosis of ischemic regions; by reducing inflammation and oxidation in rat brain tissues, damage of inflammation and oxidative stress to the rat brain tissues is reduced.

Some embodiments of the present specification provide a blood vessel occlusion position determination system. The system includes a processor that can be used to perform the following method: acquiring an image of a target object; determining an ischemic region in the image; and determining an occlusion position of a blood vessel of the target object based on the ischemic region.

The invention discloses a 3D biological printing epicardial patch for treating myocardial infarction as well as a preparation method and application of the 3D biological printing epicardial patch. The 3D biological printing epicardial patch is an epicardial patch with a specific structure, and the epicardial patch is prepared from chitosan nanoparticles loaded with recombinant human vascular endothelial growth factors (rhVEGF165) and methylacryloyl gelatin (GelMA) biological ink loaded with human bone marrow mesenchymal stem cells (hMSCs) through 3D biological printing, wherein the methylacryloyl gelatin (GelMA) biological ink contains the chitosan nanoparticles loaded with the recombinant human vascular endothelial growth factors (rhVEGF165) and the human bone marrow mesenchymal stem cells (hMSCs). Through morphological observation, mechanical property detection, swelling property detection and degradation property detection on the prepared patch, good physical and chemical characteristics of the patch are verified. An in-vitro release test shows that the patch can continuously and stably release rhVEGF165 and promote cell proliferation and angiogenesis. In-vivo experiments prove that the traditional Chinese medicine composition can effectively promote cardiac function recovery, improve myocardial remodeling and remarkably increase angiogenesis of an ischemic area. The invention provides a new technical means for repairing after myocardial infarction. The method not only shows excellent clinical transformation potential, but also opens up a new path for treatment of cardiovascular diseases.

The invention discloses an intelligent protection and treatment integrated protection device suitable for lower limb gangrene, and relates to the technical field of medical instruments. The device comprises a protection cover, a pressure adjusting assembly is fixedly connected to the bottom of an inner cavity of the protection cover, an infrared treatment mechanism is fixedly connected to the surface of the protection cover, a contact layer is arranged on the inner wall of the protection cover and located on the outer layer of the pressure adjusting assembly, and a control module is fixedly connected to one side of the surface of the protection cover. The pressure regulation assembly includes an array of airbags. The air bag array and the micro air pump are matched with the pressure sensor to work, the pressure sensor monitors the limb contact pressure in real time, when the pressure reaches 40 mmHg, the micro air pump automatically controls the air bag array to be inflated and deflated, local pressure distribution is dynamically adjusted, the ischemic area is reduced, the pressure sore risk is effectively reduced, and a good pressure environment is provided for wound healing; blood circulation is promoted, and tissue repair is facilitated.

The invention relates to the technical field of medical image processing, in particular to a general surgery department acute abdominal disease operation planning system based on AI image analysis, which comprises an image data acquisition module, a focus feature extraction module, an ischemia analysis module, an operation scheme construction module and a diagnosis result generation module. According to the method, uniform expression of multi-source data in space is guaranteed through numerical fitting and registration of an image sequence, multi-angle extraction of pathological features is achieved by combining quantitative indexes such as intestinal wall thickness, orifice expansion and hydrops density, and systematic marks are formed through deep learning feature fusion. A potential ischemic area can be quickly identified under the condition of complex abdominal lesion, accurate definition of a lesion range is realized by utilizing perfusion indexes and continuous section screening, and a relationship between lesion length and anatomical space is further calculated, so that a quantitative basis is provided for an operation excision range and an anastomosis condition; deviation caused by subjective judgment is reduced, and the pertinence and the executability of a treatment scheme are improved.

This invention provides a biomarker for collateral circulation in CTO patients, MIA3, and its application, belonging to the field of biotechnology. This invention reveals and verifies a significant positive correlation between plasma MIA3 levels and the quality of collateral circulation formation in CTO patients, and its predictive efficacy for good collateral circulation is superior to that of the known key angiogenesis factor VEGFA. This allows MIA3 to serve as a high-value, minimally invasive molecular marker for early, non-invasive identification of a patient's collateral circulation formation potential before interventional surgery, thereby enabling risk stratification and providing an objective basis for individualized treatment decisions (such as whether more aggressive intervention is needed). This invention clarifies that MIA3 is a key link in regulating collateral angiogenesis; by targeting and upregulating MIA3 activity, collateral angiogenesis and maturation in ischemic areas can be precisely promoted, providing a novel non-pharmacological, non-surgical treatment strategy for CTO patients.

There is provided a medical image processing apparatus which includes a first extraction unit configured to extract coronary arteries depicted in images of a plurality of time phases relating to the heart, and to extract at least one stenosed part depicted in each coronary artery; a calculation unit configured to calculate a pressure gradient of each of the extracted coronary arteries, based on tissue blood flow volumes of the coronary arteries; a second extraction unit configured to extract an ischemic region depicted in the images; and a specifying unit configured to specify a responsible blood vessel of the ischemic region by referring to a dominance map, in which each of the extracted coronary arteries and a dominance territory are associated, for the extracted ischemic region, and to specify a responsible stenosis, based on the pressure gradient corresponding to a stenosed part in the specified responsible blood vessel.

The invention relates to a blood flow pressure airtight triple feedback type tubular anastomat system, which relates to the technical field of tubular anastomats, and comprises a near-infrared detection module, which is used for evaluating microcirculation blood flow of a target anastomosis area in real time and identifying an ischemic area in a tissue pre-clipping stage; the intelligent pressure sensing module is used for monitoring the pressure distribution of the contact surface of the nail bin and the tissue in real time in the tissue clipping process and estimating the tissue thickness; the dynamic airtightness detection module is used for performing automatic airtightness detection on the anastomotic stoma after anastomosis is completed and the central rod is withdrawn; and the central data processing module comprises a data acquisition and preprocessing unit, a feature extraction and data matching unit and an intelligent judgment unit. Synchronous acquisition, cleaning, matching and comprehensive analysis of three-dimensional data of blood flow, pressure and airtightness are realized through the central data processing module.

The invention discloses an application of thalidomide in preparation of a medicine for treating ischemic stroke, and a thalidomide drug-loaded nanogel as well as a preparation method and an application of the thalidomide drug-loaded nanogel. The drug-loaded nanogel comprises a polyacrylic acid skeleton, thalidomide loaded on the polyacrylic acid skeleton, and three functional polypeptides, namely transferrin, microglial cell targeting peptide and pH low-insertion peptide, which are coupled with the skeleton. Through the synergistic effect of the three polypeptides, the nanogel can penetrate through a blood brain barrier, accurately targets microglia cells in an ischemic area, and responsively releases thalidomide in an acidic microenvironment. In-vitro experiments show that the nanogel can effectively inhibit expression of inflammatory factors of microglial cells; in-vivo experiments show that the traditional Chinese medicine composition can significantly reduce the cerebral infarction volume, protect the blood-brain barrier, improve the neurological function and cognitive behavior of model animals and increase the survival rate. The invention provides a precise and efficient drug delivery platform for ischemic stroke treatment.

The invention provides an application of a lactobacillus paracasei IOB413 fermented ginseng metagen in cerebral arterial thrombosis, and belongs to the technical field of microorganisms. The lactobacillus paracasei IOB413 fermented ginseng postbiotics can specifically act on cerebral vascular generation and neural restoration in cerebral arterial thrombosis, can promote expression of VEGF and CD34 in an ischemic penumbra region of brain tissue, increases the capillary density to induce cerebral vascular generation, and recovers blood supply in an ischemic region; in addition, PI3K / AKT / mTOR signal channels can be up-regulated, P-PI3K, P-AKT and P-mTOR expressions can be increased, the HIF-1alpha level can be adjusted, cell proliferation can be regulated to assist vascularization, nerve protection and nerve remodeling effects can be achieved, and brain tissue repair can be assisted.