15 results about "Skull defect" patented technology

Belongs to the technical field of biomedical engineering, and discloses a method, a device, equipment, a product and a storage medium for identifying skull defects by constructing a characteristic spectrum through a nuclear magnetic image to solve the problem that a defect area is mistakenly divided into skull areas in existing automatic skull segmentation. Converting the human brain nuclear magnetic image to an anatomical space based on the plurality of anatomical points, and implementing preliminary segmentation to obtain a primary segmentation region of the skull; calculating coordinates of voxel points in the primary segmentation region in an anatomical point coordinate system, establishing a matrix, calculating a plurality of nuclear magnetic gray statistical characteristics of the primary segmentation region, and drawing a characteristic spectrum; and performing multi-condition feature threshold judgment on the feature map to obtain a logic binary map, and extracting a region of which a connected domain is greater than a specified threshold as a skull defect region. According to the method provided by the invention, a plurality of gray features are utilized, the misrecognition of the skull in the prior art is effectively corrected, the method can be further used for judging the filling tissue of the skull defect area, and the skull defect recognition capability can be improved.

The invention discloses an antibacterial bioactive glass composite material for skull defect repair and a preparation method thereof, and relates to the technical field of bioactive glass materials. The antibacterial bioactive glass composite material for skull defect repair is prepared from the following raw materials in parts by weight: 8 to 15 parts of collagen, 45 to 55 parts of bioactive glass, 20 to 30 parts of hydroxyapatite, 5 to 8 parts of a toughening agent, 1 to 2 parts of an antibacterial agent and 150 to 250 parts of deionized water. The antibacterial bioactive glass composite material for skull defect repair prepared by the invention has excellent bending strength and antibacterial property.

The invention relates to the technical field of image processing, in particular to a skull defect area intelligent segmentation method based on a medical image. The method comprises the following steps: acquiring a to-be-analyzed image and a template image of the brain; constructing a window by taking each pixel point as a center; obtaining a difference evaluation index of two windows with the same positions of the to-be-analyzed image and the template image; acquiring a skeleton line in the template image, acquiring pixel points corresponding to the pixel points in the template image on the skeleton line, and then obtaining included angles of the pixel points in the to-be-analyzed image; acquiring a neighborhood window of each window of the to-be-analyzed image, and judging whether each window is an initial abnormal window or not; judging whether each initial abnormal window is a suspected skull defect window or not; judging whether the suspected skull defect window is an abnormal window or not according to the gray level change condition of the pixel points in the suspected skull defect window; and segmenting the to-be-analyzed image according to the abnormal window to obtain a skull defect area. According to the method, the craniocerebral defect area can be effectively segmented.

The invention discloses a polysaccharide-tea polyphenol-metal compound, which is formed by dispersing a metal-tea polyphenol nano ligand in polysaccharide gel formed by covalent crosslinking of atractylodes macrocephala polysaccharide and sodium alginate, and the metal-polyphenol nano ligand is a nano complex formed by coordination of tea polyphenol and metal ions. The invention also discloses a preparation method and application thereof. The rhizoma atractylodis macrocephalae polysaccharide-sodium alginate-tea polyphenol derivative-metal composite system disclosed by the invention not only can improve the stability and release behavior of tea polyphenol in vivo, but also can regulate and control an immunometabolism microenvironment in a bone repair process, induce inflammation resolution and promote angiogenesis and bone matrix deposition, so that the bone repair effect is improved. Multiple synergistic effects of inflammation resistance, oxidation resistance, vascularization promotion and osteogenesis induction are realized, so that repair and regeneration of skull defects are remarkably accelerated, and a new intelligent immunometabolism regulation strategy is provided for repair of complex bone defects.

The invention discloses a novel oligopeptide PSP for angiogenesis and vascularized bone regeneration. The tripeptide innovatively screened by the invention is short in amino acid sequence, small in molecular weight, high in bioavailability, low in synthesis cost and easy to transport, modify and recombine. The tripeptide provided by the invention can significantly promote vascularized bone regeneration and improve skull defect repair. Good application prospects are realized.

The utility model provides a skull plug which comprises a plug body and a plug cap, the plug body is cylindrical, the plug cap is connected with the plug body, the cross section of the plug cap along the center line of the plug cap is arc-shaped, and the diameter of the plug cap is larger than that of the plug body. When the skull plug is plugged into a skull defect position, the plug body is plugged into the defect position so as to be matched with other skull. On one hand, the plug cap covers the whole plug body and makes contact with bone tissue at other positions, the plug body can be prevented from entering the human body skull under the action of external force, and on the other hand, the shape of the plug cap is similar to that of the skull, so that the applicability of the skull plug is improved.

The invention relates to the technical field of medical data processing, in particular to a precise positioning system for incomplete skull time interference electrical stimulation treatment targets. The interference position analysis base model acquisition module is used for training an interference position analysis base model of the skull health user based on the graph neural network; the model selective activation module is used for selectively activating the interference position analysis base model based on a neuron node corresponding to the defect brain region position of the skull defect patient to obtain an interference position analysis selection model; the predicted interference position obtaining module is used for selecting a model through interference position analysis, processing the time interference stimulation parameters and preset individual parameters, and obtaining a predicted interference position; and the time interference stimulation parameter recommendation module is used for executing recommendation identification on the time interference stimulation parameters when the predicted interference position is consistent with the target interference position. The problems of inaccurate positioning, difficult electrode placement and the like caused by skull defects are solved.

This invention pertains to the field of biomedical engineering technology and discloses a method, apparatus, equipment, product, and storage medium for constructing feature maps from MRI images to identify skull defects. Addressing the problem of existing automatic skull segmentation methods misclassifying defect areas as skull regions, this invention converts human brain MRI images to anatomical space based on multiple anatomical points and performs preliminary segmentation to obtain primary segmented regions of the skull. It calculates the coordinates of voxel points in the primary segmented region within the anatomical point coordinate system, establishes a matrix, calculates multiple MRI grayscale statistical features of the primary segmented region, and draws a feature map. Multi-condition feature threshold judgment is applied to the feature map to obtain a logical binary map, and regions with connected components greater than a specified threshold are extracted as skull defect areas. The method provided in this application utilizes multiple grayscale features to effectively correct the misidentification of the skull in existing technologies and can further be used to determine the filling tissue in skull defect areas, thereby improving the ability to identify skull defects.

The fixing device comprises a fixing cover, the fixing cover is connected with a limiting ring, a pressurizing bag is arranged at the lower end of the fixing cover, the pressurizing bag is provided with an attaching part and an extruding part, and the attaching part protrudes outwards to form a protruding bag; the lower end of the protruding bag is of a circular truncated cone structure, and the upper end is of a long-strip-shaped columnar structure. The extrusion part of the extrusion bag is attached to the scalp at the skull defect position after the skull flap removal operation to pressurize and fix the skull defect position, when brain tissue swells, the extrusion part deforms to enable pressure in the extrusion bag to be increased, the protruding bag extends outwards, the pressure in the extrusion bag is increased to resist swelling of the brain tissue, and when the brain tissue does not swell any more, the extrusion part deforms to enable the pressure in the extrusion bag to be increased to resist swelling of the brain tissue. The pressure in the pressurizing bag is reduced, the protruding bag retracts, the pressurizing degree of the pressurizing bag is dynamically adjusted by observing the change of the protruding bag, the stability of brain tissue is improved, subdural effusion is reduced, the situation that the intracranial pressure is reduced due to leakage of cerebrospinal fluid caused by increase of surgical incision tension is avoided, and therefore craniocerebral collapse after craniocerebral flap removal is relieved.

This invention belongs to the field of biomaterials technology, specifically relating to a bioactive scaffold, its preparation method, and its applications. This invention incorporates functionalized mesoporous silica nanoparticles loaded with aminoguanidine into the skin secretions of the giant salamander and polycaprolactone electrospun fibers to construct a bioactive composite scaffold (SPMA). This scaffold enables the sustained release of AG and osteogenic factors, effectively inhibiting free radical generation, AGEs toxicity, and inflammatory responses. Furthermore, it significantly improves the survival rate, osteogenic differentiation, and mineralization capacity of bone marrow mesenchymal stem cells in a high-glucose microenvironment. In vivo experiments further demonstrate that in a streptozotocin-induced diabetic mouse model of skull defects, the SPMA scaffold can alleviate local inflammation, promote angiogenesis, and significantly accelerate new bone formation and defect repair.

The present application relates to the technical field of medical data processing, and particularly relates to a precise positioning system for incomplete skull time interference electric stimulation treatment target. The interference position analysis base model acquisition module is used for training the interference position analysis base model of the skull health user based on the graph neural network; the model selective activation module is used for selectively activating the interference position analysis base model based on the neuron nodes corresponding to the defect brain region position of the skull defect patient, and obtaining the interference position analysis selected model; the predicted interference position acquisition module is used for processing the time interference stimulation parameters and the preset individual parameters through the interference position analysis selected model, and obtaining the predicted interference position; and the time interference stimulation parameter recommendation module is used for performing the recommendation identification on the time interference stimulation parameters when the predicted interference position is consistent with the target interference position. The present application solves the problems of inaccurate positioning and difficult electrode placement caused by skull defects.

The invention relates to a recombinant lentiviral vector which comprises a gene segment composed of gene elements, and the gene elements are sequentially connected according to the following sequence: a hybrid promoter hEFH promoter, a first FRT gene, a human telomerase reverse transcriptase hTERT gene and a second FRT gene. The recombinant lentivirus can be packaged to obtain the recombinant lentivirus, and primary human urine-derived stem cells are further infected to obtain the iUSCTs. The cell strain has osteogenesis and adipogenic differentiation potentials in vitro, has the characteristics of low immunogenicity and no tumorigenicity in vivo, can induce subcutaneous ectopic osteogenesis in nude mice under the stimulation of bone morphogenetic protein 9 (BMP9), and can effectively promote skull defect repair of mice. In conclusion, the iUSCTs is a novel cell resource with great potential, and is suitable for various bone tissue regenerative medicine and cell therapy based on stem cells.

This invention relates to the field of image processing technology, specifically to an intelligent segmentation method for cranial defect regions based on medical images. The method includes: acquiring a brain image to be analyzed and a template image; constructing windows centered on each pixel; obtaining a difference evaluation index for two windows in the same position in the brain image and the template image; obtaining the skeleton line in the template image, and then obtaining the corresponding pixels of each pixel in the template image on the skeleton line, and then obtaining the angle between each pixel in the brain image; further obtaining the neighboring windows of each window in the brain image, and determining whether each window is an initial abnormal window; determining whether each initial abnormal window is a suspected brain defect window; determining whether a suspected brain defect window is an abnormal window based on the grayscale changes of pixels within the suspected brain defect window; and segmenting the brain image to be analyzed based on the abnormal windows to obtain the brain defect region. This application can effectively segment brain defect regions.

The invention provides an injectable human decellularized amnion-based compound hydrogel material for bone repair, which is CMCS-Mg-H composite hydrogel for treating bone defect repair, the composite hydrogel takes CMCS-Mal as a skeleton, is cross-linked with 4-arm-PEG-SH, is doped with magnesium ions, is wrapped with HAM, and is prepared into the injectable human decellularized amnion-based compound hydrogel material for bone repair, and the injectable human decellularized amnion-based compound hydrogel material for bone defect repair is prepared into the injectable human decellularized amnion-based compound hydrogel material for bone defect repair. The CMCS (at) Mg (at) H compound with good mechanical performance and immunomodulatory activity is obtained through the synergistic effect of all the components, and the compound has excellent biocompatibility in vitro, can promote cell adhesion, shows remarkable antibacterial and antioxidant activity, can effectively promote repair of rat skull defects in vivo, and has good immunomodulatory activity. And the wound area is obviously reduced, the inflammation level in the skull microenvironment is reduced, and the requirements of antibacterial and osteogenic effects and neovascularization of the bone immune microenvironment can be effectively met. The invention further provides a preparation method of the injectable human decellularized amnion-based compound hydrogel material for bone repair.