20 results about "Bone mass density" patented technology

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.

An ultrasonic radio frequency signal-based bone density prediction method and apparatus, and an artificial intelligence ultrasonic bone density meter. The bone density prediction method comprises: acquiring detection data of a tested user, the detection data comprising ultrasonic radio frequency signal data collected by a quantitative ultrasonic device from the tested user (S101); and on the basis of the detection data, using a trained bone density prediction model to perform bone density prediction on the tested user, wherein the bone density prediction model is obtained by training using multiple sample data collected from a plurality of subjects and respective labels of the multiple sample data; the bone density prediction model comprises an output layer and one or a plurality of multi-scale attention convolution channels; each multi-scale attention convolution channel comprises a cross-attention module and a plurality of convolution layers, wherein the plurality of convolution layers have different convolution kernel sizes for extracting multi-scale temporal features from the ultrasonic radio frequency signal data, and the cross-attention module is configured to perform weighted fusion of the multi-scale temporal features to obtain a fused feature map; and the output layer is configured to obtain a bone density prediction result on the basis of the fused feature map (S102).

The application discloses a dual-energy ray bone density evaluation method based on a flat panel detector and relates to the technical field of ray evaluation.The direct conversion mode of the flat panel detector is used to realize high-precision collection of low-energy and high-energy ray images, and noise and resolution loss caused by traditional indirect imaging are significantly reduced;one-time and two-time corrections are completed in an edge computing node, the problem of gray scale discontinuity and energy ratio distortion in the joint area of bones and soft tissues is effectively solved, and the authenticity of the image boundary is improved;further dynamic smoothing processing of the energy ratio is combined to obtain a stable ratio image, the stability and repeatability of bone density measurement are significantly enhanced, and more accurate bone density evaluation is realized.

The present invention relates to a system and a method for bone fracture risk assessment and provides for a system to predict Osteoporosis and Osteopenia and its associated fracture risk automatically from conventional chest X-ray image. The invention provides an automated digital X-ray bilateral Clavicle Radiogrammetry and its estimation of Cortical Thickness and Calculation of Cortical bone mass indices of Clavicle to predict dual Hips (Neck) Bone Mineral Density (BMD), dual Hips (Total) Bone Mineral Density (BMD) and Spine (Total) Bone Mineral Density (BMD) as measured by dual energy X-ray absorptiometry (DXA) bone densitometer and 10-year probability of both Major Bones (hip, spine, humerus or forearm)—and Hip-Osteoporotic Fracture Risk Scores. Using the same chest X-ray, an automated prediction of Osteoporosis and Osteopenia at both dual hips and spine regions and 10-year probability of both Major Bones and Hip Osteoporotic Fracture Risk using Artificial Intelligence (AI).

The application relates to a nail path determination method and device of a medical screw, a computer device and a storage medium. The method comprises the following steps: acquiring a candidate nail path of a medical screw in a target model of a target part; the target model is obtained according to a medical image of the target part; determining the distance between the candidate nail path and the surface of the target model and the image parameters of the candidate nail path in the medical image; the image parameters are used for characterizing the bone density of the target part; and determining the target nail path of the medical screw from the candidate nail path according to the distance and the image parameters. By using the method, the nail path with good safety and stability can be automatically determined, and the problem of time and labor consumption caused by manual marking is solved.

This invention discloses a multi-objective optimization-based method for preoperative tibial prosthesis localization in ankle replacement surgery, primarily addressing the problems of poor accuracy and low reliability in existing ankle prosthesis localization methods. The method includes: 1) acquiring and processing medical CT images and prosthesis model data of the affected lower limb, completing prosthesis standard position calibration and establishing a local coordinate system; 2) segmenting bone tissue, extracting three-dimensional models of the tibia, fibula, and talus, and including HU bone mineral density values; 3) standardizing the skeletal model, labeling anatomical landmarks, and constructing an orthogonal standard coordinate system; 4) pre-calculating relevant data of the distal tibial articular surface; 5) generating initial candidate solutions through grid search and constraint filtering; 6) obtaining the Pareto front by combining the NSGA-II-CDP algorithm and constraint dominance principles; 7) recommending the optimal solution and generating a visual model through multi-stage compromise solution filtering and multi-criteria decision-making. This invention can unify anatomical orientation, improve computational efficiency, and achieve accurate and efficient localization.

This invention relates to the application of SRGN in the treatment and diagnosis of osteoporosis, belonging to the field of biomedical technology. This invention reveals for the first time the key role of SRGN in the pathogenesis of osteoporosis, suggesting its potential as a novel therapeutic or diagnostic target for osteoporosis. Furthermore, this invention designs a novel neutralizing antibody against SRGN, 12E2, which effectively blocks the interaction between SRGN and SIGLEC15, showing significant inhibitory effects on osteoclast formation in both in vivo and in vitro models. In animal experiments, SRGN neutralizing antibody 12E2 or... Srgn Knockout significantly improved bone mineral density in mice. This invention provides novel molecular targets and strategies for the treatment or diagnosis of osteoporosis, and has promising clinical application prospects.

Disclosed is the use of dithiocarbamate compounds in the preparation of a drug for preventing and / or treating osteoporosis. The dithiocarbamate compounds can effectively prevent and / or treat osteoporosis, improve bone mineral density in patients with osteoporosis, and reduce the risk of fractures. Moreover, the dithiocarbamate compounds, when used in combination with a calcium supplement, can achieve better preventive and / or therapeutic effects on osteoporosis.

This utility model belongs to the field of bone density testing technology, and in particular to a bone density testing instrument. It consists of three parts: an image module, a control module, and an interface module. The image module includes a "C"-shaped bracket, which includes two symmetrical first fixed brackets and a bracket connecting plate connecting them. An mounting plate for mounting the X-ray source tube is fixed at the upper end between the two first fixed brackets via a second fixed bracket. A X-ray receiver is mounted at the bottom of the bracket via a fixed plate. The X-ray receiver and the X-ray source tube are arranged vertically opposite each other in the bracket. Lead sheeting for protecting the X-ray source tube is pasted on the inside of the protective cover. The lead sheeting does not have direct contact with the X-ray source tube. During equipment assembly and maintenance, it is not necessary to repeatedly cover and remove the lead sheeting, ensuring the consistency and integrity of the protective lead sheeting. Since the X-ray source tube is assembled with the X-ray receiver in a single, lead-free state, the assembly accuracy and integrity are well guaranteed.

This invention discloses a method and system for longitudinal bone mineral density prediction and high-risk window identification, belonging to the field of intelligent bone health assessment technology. Based on a large amount of localized population-based bone mineral density data assets, this invention preprocesses the data to construct a regionally adaptive dual-graph LSTM network for temporal bone mineral density prediction. It quantifies prediction uncertainty and generates confidence intervals using a Bayesian method, employs the PELT algorithm to detect bone mineral density evolution change points, and identifies the critical point of accelerated decline. By integrating prediction results, confidence intervals, and change point locations, a three-dimensional high-risk window is delineated, and personalized intervention plans are output, supporting multi-platform deployment. This invention solves the problems of inapplicability to traditional assessment standards, difficulty in capturing nonlinear changes, and insufficient prediction reliability, significantly improving the accuracy of bone mineral density prediction and the timeliness of clinical intervention. It is suitable for osteoporosis risk screening and primary healthcare management.

Disclosed are methods and devices of processing a low-dose computed tomography (CT) image. The present disclosure provides a method of processing a low-dose computed tomography (LDCT) image. The method includes receiving a first set of chest images, the first set of chest images generated by a low-dose CT method; determining a vertebral body region in each image of the first set of chest images; determining an anterior part within each vertebral body region; obtaining a first set of features from the anterior parts of the first set of chest images; selecting a second set of features from the first set of features; and determining whether a bone mineral density of the vertebral body regions is abnormal based on the second set of features.

This invention provides a method, apparatus, medium, and equipment for constructing a temperature model for ultrasonic bone grinding using a robotic arm. The method includes: obtaining a theoretical temperature analysis model for ultrasonic bone grinding based on the motion process of the ultrasonic drill; establishing a finite element analysis model for ultrasonic bone grinding based on the theoretical temperature analysis model to obtain the influence of bone density, the vibration amplitude of the cylindrical drill of the ultrasonic equipment, and the feed rate on the grinding temperature; and establishing a temperature model for ultrasonic bone grinding based on the finite element analysis model to obtain a mathematical characterization of the relationship between grinding temperature and bone density, vibration amplitude, and feed rate. According to the technical solution provided by this invention, the construction of a temperature model for ultrasonic bone grinding using a robotic arm can be realized.

1. Name of the product in this design: Ultrasonic Bone Densitometer (Upgraded). 2. Purpose of this design: For measuring bone density. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

Disclosed is the use of dithiocarbamate compounds in the preparation of a drug for preventing and / or treating osteoporosis. The dithiocarbamate compounds can effectively prevent and / or treat osteoporosis, improve bone mineral density in patients with osteoporosis, and reduce the risk of fractures. Moreover, the dithiocarbamate compounds, when used in combination with a calcium supplement, can achieve better preventive and / or therapeutic effects on osteoporosis.

This invention discloses the application of Morkotin A (quercetin-3-O-rutin-7-O-glucoside) in the preparation of pharmaceuticals, health foods, or functional foods, belonging to the field of biomedical technology. Animal experiments have demonstrated that Morkotin A can significantly increase bone mineral density in ovariectomized osteoporotic mice, improve bone microstructure, and regulate calcium and phosphorus metabolism and bone turnover marker levels. Simultaneously, in vitro cell experiments have confirmed that Morkotin A can significantly promote osteoblast differentiation and inhibit osteoclast formation. The Morkotin A used in this invention is derived from the medicinal and edible herb, Lycium barbarum leaf, and has high safety. Both in vitro and in vivo experiments have confirmed that Morkotin A promotes bone formation and inhibits bone resorption, making it suitable for development as a drug for the prevention and treatment of osteoporosis, or as a health food or functional food that helps improve bone mineral density.

The application discloses a bone density phantom leakage failure detection and early warning method and system, relates to the technical field of early warning systems, and specifically comprises the following steps: generating a bubble distribution map by CT image analysis and identification, calculating the distance from a voxel to a container wall and forming an edge aggregation index, generating an aggregation space map based on cluster algorithm analysis of bubble density, generating a core map by superimposed analysis and screening of abnormal aggregation clusters, calculating a leakage index by combining a risk evaluation index method, marking a failure area when the leakage index exceeds a threshold value, and generating an early warning information table, thereby achieving accurate identification and risk early warning of bone density phantom leakage. In the application, bubbles are distinguished and a spatial distribution map is generated by depth analysis of a scanning image, a distance is calculated to form an edge aggregation index to reveal potential hidden dangers, high-risk aggregation clusters are distinguished by combining cluster analysis, the risk of a leakage channel is highlighted by superimposed identification of quantity and continuity, a risk index is combined for quantitative evaluation and early warning information is output, and the improvement from signal collection to spatial cognition is realized.

This invention relates to the field of fracture risk warning technology, specifically to a system and method for osteoporotic fracture risk warning based on bone mineral density analysis. The invention first acquires data from a benchmark database and current user data, and extracts the most matching benchmark template from the benchmark database; further, it acquires static and dynamic risk indices; further, it obtains the dynamic risk weight of each grid cell based on the duration and metabolic equivalent of different activities, and analyzes the distribution of duration proportions; finally, it merges the dynamic and static risk indices to obtain a comprehensive fracture risk index and provides risk warning. This invention, by integrating user-personalized skeletal models, static / dynamic biomechanical analysis, and daily behavioral data to construct a comprehensive fracture risk index, achieves a shift from single bone mineral density assessment to comprehensive and personalized accurate warning, effectively improving the comprehensiveness and accuracy of osteoporotic fracture risk assessment.

This invention provides a crocodile bone collagen peptide powder for improving bone density, its preparation method, and its application, relating to the field of biopharmaceutical technology. The preparation method includes the following steps: crocodile bone is pulverized and mixed with sodium chloride solution, followed by a first separation to obtain bone residue; water is added and mixed, followed by a second separation to obtain defatted bone residue; the defatted bone residue is mixed with water and a deodorizing agent, stirred, and separated to obtain deodorized bone residue; the deodorized bone residue is added to water, and ultrasonic-assisted extraction is performed, separating and collecting the supernatant; the supernatant is mixed with collagenase and trypsin for a first enzymatic hydrolysis; carboxypeptidase A and proline endopeptidase are added for a second enzymatic hydrolysis; the supernatant is separated, and transglutaminase is added to react, separating and obtaining the enzymatic hydrolysate; the enzymatic hydrolysate is separated using a multi-stage tangential flow membrane separation system, collecting the retentate from a 500 Da nanofiltration membrane; the final product is concentrated and dried. The crocodile bone collagen peptide powder obtained by this invention through a specific preparation method significantly improves taste, enhances stability, and strengthens the effect of improving bone density and bone calcium.

A robotic laser preparation parameter adaptive system and implantation method for dental implant sockets based on bone density characteristics includes a laser hole preparation module, a trajectory planning module, a real-time feedback and parameter adaptive control module, and an optical navigation module. Compared with existing technologies, this system reconstructs and obtains a three-dimensional model of the jawbone region using medical imaging technology and calculates bone density distribution data. Based on the spatial distribution characteristics of bone density, a correlation model between laser processing parameters and bone tissue cutting efficiency is established, enabling adaptive matching of laser processing parameters according to the bone density distribution model. During the hole preparation process, the system compares and analyzes the real-time calculated feedback data on hole depth and bone tissue temperature to achieve precise and efficient socket preparation.