214 results about "Bone mineral" patented technology

The invention relates to the technical field of image processing, and provides a vertebral body three-dimensional reconstruction method based on image segmentation, and a bone detection method and system.The method comprises the steps that firstly, an SAD-UNetR image segmentation model capable of achieving accurate segmentation of an image target is constructed through improvement of a Swinin-UNetR network, three-dimensional modeling is conducted on the basis of an accurate segmentation image, and a three-dimensional reconstruction model is obtained; an accurate three-dimensional model of a vertebra structure can be obtained; based on an accurate segmentation result, a bone mineral density prediction regression model is provided at the same time, bone substances are identified based on multi-instance learning and an attention mechanism, a bone substance classification result and bone mineral density data can be provided, intelligent assistance is provided for diagnosis of doctors, radiation risks, economic consumption and time consumption caused by special bone mineral density measurement are avoided, and the accuracy of bone mineral density measurement is improved. Measurement means of bone detection are expanded, and the method has a wide application prospect.

The invention relates to oral liquid for tonifying kidney and bone and a preparation method thereof, and belongs to the technical field of medicine, the oral liquid contains rhizoma drynariae, polygonum multiflorum, poria cocos, teasel root, radix paeoniae alba, angelica sinensis, codonopsis pilosula, prepared rehmannia root, polygonatum kingianum, fructus lycii, native copper and pericarpium citri reticulatae; the rhizoma drynariae is a product obtained by performing enzymolysis on a whole rhizoma drynariae plant through hemicellulase and pectinase, performing enzymolysis through bromelain and papain and performing enzymolysis through nattokinase; polygonum multiflorum is a product obtained by carrying out enzymolysis on Polygonum multiflorum tuberous roots through hemicellulase and pectinase, then carrying out enzymolysis through bromelain and papain and then carrying out enzymolysis through gelatinase. Polygonatum sibiricum is a product obtained by performing enzymolysis on rhizome of Polygonatum sibiricum through hemicellulase and pectinase, performing enzymolysis through bromelain and papain, and performing fermentation through bacillus licheniformis and saccharomyces boulardii. All the active components are matched for use, kidney function metabolism can be well enhanced, bone mineral density is increased, the treatment course is short, the effect taking speed is high, safety and reliability are achieved, and medication compliance is effectively improved.

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 discloses a spinal surgery postoperative patient rehabilitation intelligent management system and method, and relates to the technical field of spinal surgery postoperative rehabilitation management, and the system can carry out real-time analysis on implant displacement characteristics, and can carry out early warning on potential deviation of an implant in advance. The first analysis module can calculate the risk index Fx of the implant, so that timely correction or adjustment is promoted, the risk of implant deviation is reduced, and the occurrence rate of postoperative complications is reduced. And the second analysis module is specially used for extracting wear characteristics of the implant, constructing an implant wear index Ms, and helping a doctor to intervene in time by monitoring the wear condition of the implant in real time so as to avoid dysfunction or risk caused by wear of the implant. And the third analysis module calculates a comprehensive fusion index ZRh by extracting bone grafting area change characteristics, bone mineral density and rehabilitation bone healing information, so that a doctor can know bone mineral density change and rehabilitation conditions of a patient, a treatment scheme is adjusted, and a rehabilitation effect is improved.

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.