144 results about "Bone mineral" patented technology

The present invention relates to a nutritional composition, food and pharmaceutical products comprising the nutritional composition, and uses thereof. The nutritional composition comprises medium and long chain fatty acid triglycerides and breast milk oligosaccharides, and the weight ratio of the medium and long chain fatty acid triglycerides to the breast milk oligosaccharides is 1: 1 to 9: 1. The nutritional composition disclosed by the invention can play a role in synergistically promoting skeletal development and particularly improving bone mineral density.

The invention relates to the technical field of bone mineral density value prediction, and provides a multi-model fusion bone mineral density value prediction method and system, and the method comprises the following steps: obtaining clinical feature data of bone mineral density prediction; constructing a multi-model fusion prediction model comprising base learners and meta learners which are connected in sequence, and inputting the obtained features into the plurality of base learners for prediction identification to obtain a primary prediction result; according to the prediction accuracy of the base learners, adaptively calculating a fusion weight, and fusing the primary prediction results of the base learners based on the fusion weight obtained by calculation; and transmitting the fused primary prediction result to a meta-learner for prediction to obtain a prediction result of the bone mineral density. According to the invention, a plurality of machine learning models are designed as a multi-stage prediction architecture, the model of each stage learns and optimizes the prediction result of the previous stage and the original input features, and the prediction accuracy is improved stage by stage.

The invention relates to the technical field of osteoporosis diagnosis, and discloses an osteoporosis diagnosis method based on image recognition. The method comprises the following steps: acquiring bone density image data of a target object and bone structure image data of a target area based on medical imaging equipment, and determining a bone trabecula distribution condition of the target area according to the bone structure image data; constructing a three-dimensional bone mineral density model of the target object according to the bone mineral density image data, and determining an image analysis strategy by combining the three-dimensional bone mineral density model and the bone trabecula distribution condition; and an image analysis module acquires bone structure feature data of the target area according to the strategy, and identifies the bone density grade and the osteoporosis degree of the target area according to the feature data to obtain diagnosis data. According to the method, related data of the bone mineral density and the bone structure are integrated, comprehensive analysis is carried out in combination with the image recognition technology, an efficient and reliable new mode is provided for clinical diagnosis, the accuracy and objectivity of osteoporosis diagnosis are improved, and misdiagnosis and missed diagnosis are reduced.

The invention relates to the technical field of bone mineral density detection, and discloses a bone mineral density detection method which comprises the following steps: step 1) image acquisition; step 2) image segmentation; 3) reconstructing a three-dimensional surface; 4) reconstructing three-dimensional body distribution; 5) performing calibration calculation; according to the method, the automatic segmentation algorithm, the three-dimensional reconstruction algorithm and the gray density mapping technology based on the Lambert-Beer law are combined, so that the lumbar vertebra bone mineral density is rapidly and accurately detected, and a reliable basis is provided for early diagnosis of osteoporosis; in addition, the method is based on common X-ray images, is low in radiation dose, is lower in equipment cost, is suitable for basic medical institutions and resource-limited regions, and has wide popularization value and application prospect.

The invention provides a plant lactobacillus TH13, and the preservation number of the plant lactobacillus TH13 is CGMCC (China General Microbiological Culture Collection Center) NO.32112. The plant lactobacillus TH13 provided by the invention can be used for fermenting folium cortex eucommiae and enzymatically hydrolyzed bone meal, and the fermentation product of the plant lactobacillus TH13 has high content of chlorogenic acid, proline, glycine and lysine. The fermentation product can significantly improve the content of alkaline phosphatase (ALP) and osteocalcin (OCN) in mouse serum and reduce the content of tartrate-resistant acid phosphatase (TRACP). Therefore, the fermentation product can significantly improve the bone mineral density of the femur, increase the number of bone trabecula and significantly reduce the separation degree of the bone trabecula, thereby promoting bone formation of a mouse with senile osteoporosis, inhibiting bone resorption and improving senile bone loss and bone microstructure deterioration. The preparation method of the probiotic preparation containing the plant lactobacillus and the probiotic fermentation product is simple, and large-scale production can be realized.

The invention discloses a yolk protein source tripeptide with a function of improving osteoporosis and application of the yolk protein source tripeptide, and belongs to the technical field of biological medicines. The tripeptide is a tripeptide APW of which the amino acid sequence is Ala-Pro-Trp. The peptide fragment can be obtained through artificial synthesis or directional enzymolysis of defatted yolk powder. Functional verification shows that the tripeptide APW and the egg yolk protein hydrolysate containing the peptide fragment have the function of improving the bone mineral density, and in a zebra fish osteoporosis model, when the egg yolk protein hydrolysate is 20 mu g / mL, the bone mineral density is improved by 58%; when the tripeptide APW is 0.5 mu g / mL, the bone mineral density is increased by 23.4%; in a rat osteoporosis model, the bone mineral density of thighbone is increased by 3.39% after 10 mg / kg. D of egg yolk protein enzymatic hydrolysate is eaten. Moreover, the food-borne bioactive peptide is high in biological safety, so that the tripeptide APW and a yolk protein enzymolysis product containing the peptide fragment can be applied to preparation of medicines for treating osteoporosis or health-care foods for improving bone mineral density, and the tripeptide APW has a good market prospect and application potential.

The invention relates to the technical field of medical imaging, and discloses an image processing method and system for a dual-energy X-ray bone mineral densitometer, and the method comprises the steps: collecting a dual-energy X-ray image, and carrying out the light and dark field correction of original projection data; based on the corrected projection data, using an aluminum sheet to simulate bones and glass to simulate tissues, carrying out data fitting to obtain a bone mineral density value, and fitting a bone-aluminum conversion coefficient; preprocessing the image, wherein the preprocessing comprises Gaussian smooth filtering, threshold processing and corrosion operation; segmenting the image by using a region growing algorithm, and carrying out edge detection by using a Canny operator; extracting an ROI (Region of Interest), and determining the boundary of the ROI by searching coordinates meeting a preset threshold condition within a preset proportion range in the vertical direction of the image; and calculating the area of the ROI, the bone mineral density BMD and the bone mineral salt content. The accuracy of bone mineral density measurement is improved, the influence of noise and artifacts can be effectively reduced, and the target area is accurately extracted.

The invention belongs to the field of functional composite microbial preparations, and particularly discloses a microbial agent and GABA compounded composition and application thereof in promoting growth and development of children. The composition is prepared from a freeze-dried bacterial agent and a GABA (gamma-aminobutyric acid) compound, wherein the freeze-dried bacterial agent comprises lactobacillus johnsonii YH1136 and lactobacillus helveticus Helveticus; the GABA compound is prepared by loading GABA with the purity of greater than or equal to 98% on a nano cellulose carrier, and the loading rate is 20-35%. The composition realizes high survival rate of the microbial inoculum and targeted slow release of GABA through a freeze-drying process and enteric coating. Experiments show that the composition can significantly improve the serum GH / IGF-1 level, the bone mineral density and the body growth rate, and has a synergistic effect when combined with the vitamin D3. According to the invention, the problems of single strain function, low GABA utilization rate and gastric acid damage in the prior art are solved, and an efficient and safe solution is provided for children growth and development intervention.

The invention discloses pediococcus pentosaceus MPL5 and application thereof in promoting conversion of combined calcium in food into ionized calcium and improving calcium bioaccessibility, and belongs to the technical field of microorganisms. The pediococcus pentosaceus MPL5 provided by the invention can effectively promote combined calcium to be converted into ionized calcium (greater than 60%) in a culture solution or a composition fermentation solution, so that the bioavailability of calcium is improved; in addition, osteoporosis can be improved and conditioned, specifically, the bone mineral density, the number of bone trabecula, the connectivity of the bone trabecula and the connection density of the bone trabecula of an osteoporosis model mouse are remarkably improved, the separation degree of the bone trabecula and the index of a structural model are remarkably reduced, and therefore osteoporosis is reduced. The pediococcus pentosaceus MPL5 disclosed by the invention has a very wide application range in preparation of functional foods and health foods for promoting ionized calcium conversion and assisting in relieving osteoporosis, and is healthy and safe.

The invention relates to a spine bone structure and bone mineral density automatic measurement method based on a CT image. The method comprises the following steps: performing CT scanning on a phantom with known bone mineral density to obtain a real bone mineral density calculation formula; all CT images in the DICOM format are read, DICOM analysis is carried out, and three-dimensional CT value data and other main information of all the images are obtained; performing outer contour segmentation on the whole spine in the CT image by using a deep learning network to obtain an outer contour of each vertebral body in the image; the method comprises the following steps: carrying out preliminary segmentation on cortical bones and cancellous bones by adopting a dynamic threshold method aiming at each vertebral body, selecting a preliminarily segmented cancellous bone region, using a maximum connected domain algorithm in a three-dimensional direction, retaining a maximum connected region, and further measuring the bone mineral density, namely calculating overall topology parameters, the bone mineral density and the bone mineral content of the current vertebral body; calculating the rubbing parameters, the bone mineral density and the bone mineral content of the current vertebral cortical bone and cancellous bone; and measuring the content of the cross section of the cone.

The invention discloses an eggshell membrane peptide for enhancing bone mineral density as well as a preparation method and application thereof, belongs to the technical field of egg by-product processing, and particularly relates to a preparation method of the eggshell membrane peptide for enhancing bone mineral density, which comprises the following steps: carrying out vacuum freeze drying and crushing on an eggshell membrane to obtain eggshell membrane powder; mixing the eggshell membrane powder with deionized water to obtain an eggshell membrane solution; adding keratinase, performing enzymolysis, and taking supernate; adding collagenase, carrying out enzymolysis, and centrifuging to take supernate, so as to obtain primary enzymatic hydrolysate; adding alkaline phosphatase, performing enzymolysis and centrifugation, and taking supernate to obtain enzymatic hydrolysate; and performing ultrafiltration and drying to obtain the eggshell membrane peptide. According to the eggshell membrane peptide for enhancing the bone mineral density, keratin cross-linking is destroyed through enzymolysis of keratinase, active peptide capable of stimulating osteoblast proliferation is released through enzymolysis of collagenase, phosphopeptide calcium binding sites are further activated through enzymolysis of alkaline phosphatase, calcium salt deposition is promoted, and the eggshell membrane peptide for enhancing the bone mineral density is provided.

The invention is suitable for the field of meat processing and production, and provides an intelligent recognition method and system for the three-dimensional contour of boned meat based on image recognition, and the method comprises the steps: carrying out the multi-modal image collection of frozen boned meat, and capturing a surface crack pattern; analyzing the crack pattern to construct a topological network model; reconstructing a bone-meat three-dimensional holographic model based on the topological network model, and marking joint, marrow cavity and bone mineral density abnormal areas; identifying potential skeleton weak points; generating a double-path cutting guide line; cooperative operation and visual presentation of the guide lines are controlled through dynamic compensation. Precise recognition and intelligent cutting guide of the internal skeleton structure of the boned meat are achieved, the segmentation precision and efficiency are improved, and the method is suitable for the field of meat processing and the like.

The invention discloses a method and device for intelligently achieving implant anchorage position generation, and the method comprises the steps: carrying out the fusion of oral cavity CBCT data and oral scanning model data, obtaining a fusion three-dimensional model, and carrying out the registration of the oral cavity CBCT data and the oral scanning data based on a non-rigid I CP algorithm during the fusion; performing feature point extraction on the fused three-dimensional model to obtain a feature point heat map, performing risk region division on the fused three-dimensional model to obtain a risk region, determining a bone mineral density grading map based on the fused three-dimensional model, and dividing a tooth root three-dimensional safety boundary; determining at least one target feature point based on the feature point heat map, the risk area, the bone mineral density grading map and the tooth root three-dimensional safety boundary, and determining implant anchorage position information corresponding to the target feature point based on the target feature point; and screening out an optimal implant anchorage target position from the implant anchorage position information. The purpose of intelligently determining the position of the implant anchorage is achieved, and the defects in the related technology are overcome.

The invention provides a nutrition enhancer beneficial to bone health of middle-aged and elderly people, a preparation method of the nutrition enhancer and application of the nutrition enhancer in preparation of medial care food, and belongs to the field of nutritious food. The nutrient supplement comprises a plant fermentation product, osteopontin peptide, collagen peptide, N-acetylglucosamine and calcium, vitamins and mineral substances can be added, and the plant fermentation product is obtained by performing anaerobic fermentation on rhizoma drynariae and chestnuts through a complex microbial inoculant composed of lactobacillus reuteri and bifidobacterium longum subsp. Longum; the collagen peptide is prepared by performing enzymolysis on bovine bones through alkaline protease and flavourzyme; the hydrogel is prepared by adopting a sodium alginate-calcium chloride-carboxymethyl chitosan micro-capsule embedding process. An in-vitro experiment shows that the nutrition enhancer can remarkably promote osteoblast proliferation, differentiation and mineralization; animal experiments show that the bone mineral density of osteoporosis model mice can be effectively improved. The nutrition enhancer disclosed by the invention is suitable for preparing care food and bone health products, and has a remarkable effect of improving bone health of middle-aged and elderly people.

The invention discloses application of a Trim3 gene and / or an expression product thereof in preparation of medicines for treating osteoporosis. The over-expression of the Trim3 can improve the bone mineral density of osteoporosis model mice, inhibit bone resorption, inhibit osteoclast differentiation and inflammatory response in vitro, improve osteoporosis and provide a new target for diagnosis and treatment of osteoporosis.

The invention discloses a dual-energy ray bone mineral density evaluation method based on a flat panel detector, and relates to the technical field of ray evaluation. Through a direct conversion mode of the flat panel detector, high-precision acquisition of low-energy and high-energy ray images is realized, and noise and resolution loss caused by traditional indirect imaging are remarkably reduced; primary correction and secondary correction are completed in the edge calculation nodes, so that the problems of discontinuous gray scale and distorted energy ratio of the boundary area of the skeleton and the soft tissue are effectively solved, and the authenticity of the image boundary is improved; and dynamic smoothing processing of the energy ratio is further combined to obtain a stable ratio image, so that the stability and repeatability of bone mineral density measurement are remarkably enhanced, and more accurate bone mineral density evaluation is realized.

The invention discloses an intelligent evaluation method for screening multiple diseases of lumbar vertebra based on deep learning, and relates to the technical field of intelligent screening of lumbar vertebra diseases, and the method comprises the steps: collecting multi-source data, and obtaining lumbar vertebra CT, MRI, bone mineral density images, clinical diagnosis and treatment data and operation related parameters; preprocessing data, denoising images, segmenting key structures, and standardizing non-image data; a deep learning model is constructed, image features are extracted through CNN branches, non-image features are processed through Transform branches, and disease classification, severity assessment and risk prediction are achieved in combination with multi-task learning; integrating the multi-modal features through a feature fusion optimization algorithm, and outputting an evaluation result; doctor interaction correction and model iteration are supported, and the generalization ability of the system is improved. According to the method, multi-source data are integrated, the accuracy and efficiency of lumbar vertebra multi-disease assessment are improved, postoperative risk prediction is optimized, clinical diversified requirements are met, and powerful support is provided for precise diagnosis and treatment and rehabilitation.

The present invention relates to a diagnosis assistance device and method based on artificial intelligence processing of a radiographic image, wherein a disease diagnosis assistance device according to an embodiment of the present invention may comprise an information providing unit that constructs a diagnosis assistance model by learning a training radiographic image and additional information through a first feature processing unit, a second feature processing unit, and a feature fusion processing unit, determines a bone mineral density value and disease classification information with respect to a radiographic image to be diagnosed on the basis of the diagnosis assistance model, and provides disease diagnosis assistance information including the bone mineral density value, the disease classification information, and diagnosis basis information.

The invention discloses a machine learning model construction method for predicting lumbar vertebra bone mineral density based on a CT image. The method comprises the following steps: step 1, image acquisition: collecting images and data including lumbar vertebra CT of a patient; step 2, image segmentation: on the cross section of each CT image, using ITK-SNAP software to carry out ROI segmentation on the cancellous bone part of the vertebral body so as to ensure that the construction of the model can reflect a cancellous bone part result which can best represent the real bone mineral density; step 3, performing deep learning by using DenseNet: realizing training and testing of a Densenet model on the basis of a Pytorch framework; and 4, performing verification by using the trained model: after the training is completed, evaluating the performance of the trained model by using a verification data set. According to the method, the patients in the training set and the test set are strictly screened, influence factors possibly causing inaccurate bone mineral density results are eliminated, results more conforming to actual bone mineral density values of vertebral bodies can be given, and the method has more clinical significance on lumbar surgery and bone mineral density treatment.

The invention discloses a fracture early warning method and system for bone mineral density analysis based on an MV-CT image. The method comprises the following steps: acquiring an MV-CT image, and sketching a skeleton contour based on the MV-CT image to obtain a skeleton contour map; calculating CT value data of the skeleton contour map, converting a pixel CT value of the skeleton contour map into pixel bone mineral density value data, and generating a bone mineral density three-dimensional distribution model; summarizing the bone mineral density three-dimensional distribution models under a plurality of time nodes to generate a bone mineral density change curve; generating a pseudo-color difference chart based on the bone mineral density three-dimensional distribution model; and carrying out fracture early warning based on the bone mineral density change curve and the pseudo-color difference chart. According to the method, visual bone mineral density change distribution can be obtained, accurate information of bone mineral density change during radiotherapy is further obtained, and early warning prompt is given to possible fracture parts.

A computer-implemented method for evaluating a medical image exhibiting air, fat, a bone, and a motion rod. The computer-implemented method includes automatically performing the following: identifying, from the medical image, intensities of the bone, the motion rod and at least one of: air or fat; obtaining a bone mineral density equivalent value of the motion rod and the at least one of the air or the fat; determining a bone mineral density calibration factor based on a relationship between the identified intensities and a bone mineral density equivalent values of the motion rod and the at least one of the air or the fat; and determining the bone mineral density of the bone within the medical image based on the bone mineral density calibration factor.

The utility model relates to the technical field of bone mineral density instruments, and discloses a sliding supporting structure of a dual-energy X-ray bone mineral density instrument, the sliding supporting structure comprises a supporting seat, guide grooves used for assisting sliding are formed in the two sides of the outer surface of the supporting seat, and guide plates used for supporting are inserted into the inner walls of the guide grooves; the end of the guide plate is connected with a supporting plate used for supporting through a rotating shaft, a base plate used for auxiliary supporting is fixedly installed at the end of the supporting seat, protective pads are pasted and fixed to the top of the supporting seat, the top of the supporting plate and the top of the base plate, and the top of the base plate is connected with a head support used for lifting through a rotating shaft. According to the dual-energy X-ray bone mineral density instrument, the guide plate and the supporting plate are arranged in a matched mode, the overall length can be adjusted according to the body type of a patient, the angle between the guide plate and the supporting plate can be deflected by a certain amplitude, adjustment can also be conducted according to the leg state of the patient, and therefore adjustment can be conducted according to the specific requirements of a user; the adaptability of the device is improved.

The invention provides a bone mineral density acquisition method, an X-ray imaging system and a storage medium. The bone mineral density obtaining method comprises the steps that at least one X-ray image of a detected object is obtained through an X-ray imaging system, the at least one X-ray image is an original image or a medical image obtained after image processing, the at least one X-ray image is processed on the basis of a trained learning network, and the bone mineral density is obtained. The result comprises at least one of a T value of bone mineral density and classification, and at least one of an abnormal bone position, an abnormal probability and an abnormal prompt, and the abnormality means that the T value exceeds a threshold range.

An implant type or a process of implant fixation is automatically identified by processing surgical plan information. Further, bone mineral density information associated with a patient is determined by processing at least one image. The determined bone mineral density information and patient information representing at least demographics associated with the patient are processed, and a selection of a plurality of patients that previously underwent arthroplasty is made. Outcome information representing results of arthroplasty procedures is processed and a threshold is established representing a biomechanical tolerance. The bone mineral density information is processed to be determined associated with the patient is determined to be above or below the threshold.

The invention provides application of a composition containing butyric acid producing bacteria and vitamin K2 in preparation of a medicine for treating osteoporosis, and relates to the technical field of biological medicines, the composition comprises butyric acid producing bacteria and vitamin K2; wherein the butyric acid producing bacteria are selected from any one or more of clostridium butyricum, rosella and clostridium praeparatum; and the vitamin K2 is selected from any one or more of menadione-4 or menadione-7. The composition can play a synergistic effect through an intestine-bone axis, and compared with a single component, the composition can more remarkably improve the bone mineral density. The composition has comprehensive effects and high safety, provides a brand-new nutrition intervention strategy with a synergistic effect for prevention and treatment of osteoporosis, and provides a brand-new possibility for preparation of medicines related to osteoporosis.

An implant type or a process of implant fixation is automatically identified by processing surgical plan information. Further, bone mineral density information associated with a patient is determined by processing at least one image. The determined bone mineral density information and patient information representing at least demographics associated with the patient are processed, and a selection of a plurality of patients that previously underwent arthroplasty is made. Outcome information representing results of arthroplasty procedures is processed and a threshold is established representing a biomechanical tolerance. The bone mineral density information is processed to be determined associated with the patient is determined to be above or below the threshold.

The invention discloses a rehmannia neutral homogeneous polysaccharide as well as a preparation method and application thereof, and belongs to the technical field of traditional Chinese medicine preparations. The polysaccharide mainly comprises galactose, glucose and fructose, the molar ratio of the galactose to the glucose to the fructose is 2.72: 1.17: 1.11, and the weight-average molecular weight of the polysaccharide is 2152 Da. The rehmannia neutral polysaccharide can play a role in treating osteoporosis by increasing bone mineralization amount and bone mineral density; the proliferation and directional osteogenic differentiation of the bone marrow mesenchymal stem cells BMSCs can be promoted, and the obvious application effect is achieved in the aspect of preparing the bone defect treatment medicine through the stem cells. The rehmannia neutral homogeneous polysaccharide shows a huge application prospect in the aspects of preparation of medicines for treating osteoporosis and stem cell treatment (especially bone regeneration treatment based on mesenchymal stem cells). A new candidate substance and a research direction are provided for developing an efficient and safe bone metabolism disease treatment strategy derived from traditional Chinese medicines.

The invention discloses a multi-mode ultrasonic coupling analysis system for measuring bone mineral density. The system comprises a shell, a foot placing groove, a sole supporting plate, a display screen, a first transducer, a second transducer, a clamping mechanism and a signal collecting and processing module, wherein the first transducer and the second transducer are oppositely arranged. A detachable double-state coupling piece is installed at the front end of the transducer, the coupling piece is provided with a first coupling face and a second coupling face which are equal in thickness but different in acoustic impedance, and the first coupling face and the second coupling face make contact with the skin in sequence when used. The device carries out bidirectional transmission measurement under multiple frequencies, the processing module averagely extracts transmission frequency dispersion characteristics through two-state difference and reciprocity, the center frequency, sharpness and sensitivity of a transmission window are obtained through fitting, and cortical-spongy transmission window indexes are formed and used for distinguishing osteoporosis phenotypes and longitudinal follow-up visit. According to the method, a traditional homogeneous model that QUS only depends on sound velocity and attenuation is broken through, frequency dispersion window characteristics of a cortical-cancellous double-layer structure are introduced into clinical quantitative indexes for the first time, and sensitivity to early osteoporosis and follow-up visit reliability are improved.

1. The name of the design product: dual-energy X-ray absorptiometry (medical whole body type). 2. The use of the design product: medical detection instrument for measuring bone mineral density of human body and obtaining relevant data. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention provides a vertebral body end plate three-dimensional rotation posture and bone mineral density evaluation method based on end plate calibration, which comprises the following steps: based on a small number of CT images of spinal malformation patients after end plate region labeling and a large number of non-labeled CT images of any patients, performing end plate region labeling on the CT images of the spinal malformation patients; performing supervised training and unsupervised training on the neural network model of the teacher-student architecture to obtain a centrum endplate segmentation model; performing centrum end plate region segmentation on a to-be-evaluated centrum CT image by using the centrum end plate segmentation model to obtain an upper bony end plate and a lower bony end plate; obtaining a three-dimensional rotating posture of the vertebral body end plate based on the end plate region mask corresponding to the bony end plate; and measuring the volume bone density of the cancellous bone area in the vertebral body based on the three-dimensional rotation attitude of the vertebral body end plate. The problems that in the prior art, a vertebral body end plate segmentation method cannot be suitable for a spine malformation patient, three-dimensional space posture evaluation of a spine vertebral body cannot be achieved, and the consistency of vertebral body bone mineral density measurement is poor due to the fact that the three-dimensional posture of the malformed spine is not considered are solved.