119 results about "Bone mass density" patented technology

The invention provides an osteoporosis automatic diagnosis method and system based on position specific attention, and the method comprises the steps: carrying out the dual-channel enhancement preprocessing of a lumbar CT image, and generating an enhanced image taking the bone mineral density and the bone trabecula structure characteristics into consideration; inputting the enhanced image into a deep convolutional neural network for multi-scale feature extraction to obtain a feature map containing spatial semantic information; on the basis of the anatomical position index information, generating attention weighted features which highlight the key diagnosis area of the vertebral body; global pooling is carried out on the attention weighted features, and then comprehensive diagnosis features containing anatomical priori knowledge are constructed; and inputting the comprehensive diagnosis features into a classifier to realize centrum-level accurate diagnosis. According to the invention, the workload of radiologists can be effectively relieved, and the efficiency and coverage of osteoporosis screening can be improved. Especially under the condition that primary medical institutions are lack of experienced radiologists, the primary medical service level can be improved.

The invention provides a bone mineral density measurement method based on a segmented large model and a lightweight semi-supervised model, which comprises the following steps of: acquiring an original hip joint X-ray image, and preprocessing the original hip joint X-ray image to obtain a data set; performing image segmentation on the data set by using a preset segmentation large model to obtain a final femoral head mask pattern; cutting and identifying the original hip joint X-ray image by using the final femoral head mask pattern to obtain a mixed supervision sample set only containing the unilateral femoral head; training a preset semi-supervised lightweight neural network model by using the mixed supervised sample set to obtain a trained semi-supervised lightweight neural network model; and predicting the bone mineral density of a newly input hip joint X-ray image by using the trained semi-supervised lightweight neural network model. According to the method, the segmentation large model SAM and an interactive prompt mechanism are introduced, the femoral head segmentation precision and generalization are remarkably improved, and high-precision prediction of the bone mineral density under the small sample condition can be realized by using the lightweight semi-supervised regression model.

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 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 relates to an application of plant lactobacillus Hi188 in promotion of bone health. The invention provides the application of the plant lactobacillus Hi188 or the afterbiogen thereof or the composition thereof in increasing the bone mineral density, increasing the bone mineral density, promoting the skeletal development, increasing the bone mineral content and / or promoting the tibia growth. Or preparing food for increasing bone mineral density, increasing bone mineral density, promoting skeletal development, increasing bone mineral content and / or promoting tibia growth; wherein the composition comprises: (A) Phytobacterium plantarum Hi188 or a postbiotic thereof, and (B) Bifidobacterium lactis Ca360 or a postbiotic thereof.

The invention relates to the technical field of osteoporosis detection, in particular to an osteoporosis risk assessment system and method for lumbar magnetic resonance images. The system comprises an image acquisition module, a structure processing module, a feature extraction module, a bone mineral density prediction module and a reasoning control module, through MRI image preprocessing and image feature vector extraction, in combination with non-image information such as age, gender, height, weight and the like, a backstepping mapping model is constructed in a multi-modal mode, and continuous estimation of bone mineral density and bone related characterization values is achieved. According to the method, quantitative extraction of the iconography parameters of the lumbar vertebra bone tissue can be achieved under the non-radiation condition, and a safe and repeatable opportunity analysis means is provided for iconography monitoring and follow-up visit of high-risk people; meanwhile, the adaptability of the model in multi-center data is remarkably enhanced, overfitting is avoided, and the consistency and reliability of calculation results of bone characterization parameter values between different devices and samples are improved.

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 cistanche deserticola extract for improving bone mineral density, the total content of echinacoside and verbascoside in the cistanche deserticola extract is greater than 25wt%, and the cistanche deserticola extract is obtained by adding distilled water into cistanche tubulosa coarse powder for extraction, filtration, filtrate centrifugation, concentration, extraction, concentration and impurity removal, dilution, after-treatment, concentration and drying. The total content of echinacoside and verbascoside in the cistanche deserticola extract for improving the bone mineral density is 25-30 wt%, and the cistanche deserticola extract is rich in shikimic acid, phenylpropionic acid and alkaloid components, so that the cistanche deserticola extract can stably play a role in improving the bone mineral density.

The present application relates to the technical field of dental root image processing, and particularly relates to an intelligent detection method for bone density change caused by dental root absorption area of impacted wisdom tooth. The present application constructs a coordinate system of images under different angles, obtains a gray weighted value of each pixel point in the images under each angle according to actual source image distances of the images under different angles and position distribution of preset anatomical structures, obtains a bone density change rate of each position pixel point in combination with displacement change amounts and gradient features of registered pixel points between the images under different angles, obtains a high risk degree threshold value of bone density change according to bone density change rate distribution of all position pixel points, and obtains a high risk area of bone density change of each image according to the bone density change rate of each position pixel point on each image and the high risk degree threshold value of bone density change. The present application improves the accuracy of bone density change detection by accurately analyzing the bone density change area.

The utility model relates to a bone mineral density ultrasonic detection device which comprises an adjusting seat fixedly arranged on a bottom plate and a calcaneus bone mineral density instrument arranged on the bottom plate in a left-right sliding mode, a seat is arranged on the adjusting seat, and the seat can be adjusted in the inclination direction of a leg placing plate in the calcaneus bone mineral density instrument. The front end of the seat face of the seat extends towards the calcaneus bone densitometer to form a supporting plate, and the supporting plate and the leg placing plate are parallel to each other and are arranged in an aligned mode. The bone mineral density ultrasonic detection device is convenient to use, the shanks can be just naturally attached to the supporting plate by adjusting the front-back position of a detected person on the seat surface, and due to the fact that the supporting plate is just aligned with a leg placing plate on the calcaneus bone mineral density instrument, the soles of the detected person can be tightly attached to a foot placing plate by adjusting the height of the seat, and the detection accuracy is improved. Therefore, the feet of the detector can be stably placed, and the problem that the detection result is inaccurate due to the fact that the detector exerts improper force and the feet are placed incorrectly is solved.

The invention discloses a data processing method and device, electronic equipment, medical equipment and a storage medium, and the method comprises the steps: obtaining a first brain magnetic resonance image set of a first type of object and a second brain magnetic resonance image set of a second type of object, imaging parameters of the first brain magnetic resonance image and imaging parameters of the second brain magnetic resonance image are the same, and bone mineral density value change degrees of the first type object and the second type object are different; determining candidate brain partitions according to the volume parameter difference of the first brain magnetic resonance image set and the second brain magnetic resonance image set in the same brain partition; and for each candidate brain partition, performing correlation analysis on the basis of the grey matter volume parameter, the associated bone mineral density value and the scale data of the candidate brain partition, and determining the target brain partition associated with the bone mineral density change according to the correlation analysis result, so that the correlation analysis of the bone mineral density change and the brain partition is realized, and the correlation relationship between the bone mineral density change and the brain partition is accurately determined.

The utility model discloses an arm positioning device of a bone mineral density detector, which belongs to the technical field of medical devices and comprises a detection bin, a supporting mechanism is arranged in the detection bin, a groove is arranged on the upper end face of the supporting mechanism, and an arm can be placed in the groove. A positioning bulge is also arranged in the groove; the supporting mechanism is in sliding connection with the detection bin, so that the supporting mechanism can be moved out of the detection bin. According to the arm positioning device of the bone mineral density detector, the positioning device can quickly position the position of the arm, so that the detection efficiency and the experience feeling of a detected person are improved.

To accurately predict a locomotorium disease in an estimation device, method, and program.SOLUTION: An estimation device includes at least one processor. The processor functions as a learned neural network for deriving an estimation result related to bone density of a bone part from a plain radiation image acquired by executing plain radiography of a subject including the bone part. The learned neural network is learned by using, as teacher data, (i) two radiation images acquired by imaging the subject including the bone part by radioactive rays with different energy distribution, (ii) the radiation image of the subject and a bone image showing the bone part of the subject, or (iii) the radiation image of the subject and a bone density image indicating the bone density of the bone part of the subject, and information related to the bone density of the bone part of the subject.SELECTED DRAWING: Figure 3

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.

This invention relates to a bone mineral density measurement system and method. The system includes a CT scanner with a quantitative computed tomography (QCT) module, an independent single-calibration phantom, and a QCT data image processing program. The devices can exchange data via network or mobile storage. The data receiving module of the QCT data image processing program receives medical digital images from the CT scanner and measures the patient's bone mineral density through the bone mineral density analysis module. This invention combines a CT scanner, QCT, and a single-calibration phantom, employing an asynchronous scanning method that separates the phantom and the patient. This results in higher measurement accuracy, greater convenience, and improved patient comfort.

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 relates to a mechanical arm ultrasonic grinding and drilling bone grinding mechanical model construction method and device, a medium and equipment, and the method comprises the steps: obtaining an ultrasonic machining motion model of ultrasonic grinding and drilling bone grinding according to the motion process of ultrasonic grinding and drilling grinding; according to the ultrasonic machining motion model, a finite element analysis model of ultrasonic abrasive drill bone grinding is established, and then the bone density, the vibration amplitude of a cylindrical abrasive drill of ultrasonic equipment and the influence rule of the feeding speed on the grinding force are obtained; and according to the finite element analysis model, a mechanical model of ultrasonic bone grinding and drilling is established, and then mathematical characterization among the grinding force, the vibration amplitude and the feeding speed is obtained. According to the mechanical arm ultrasonic grinding, drilling and grinding mechanical model, the dynamic relation among ultrasonic vibration parameters, mechanical arm motion parameters and grinding force can be accurately quantified, the situation that bone tissue is excessively damaged due to the fact that the grinding force is too large or the grinding efficiency is low due to the fact that the grinding force is insufficient is effectively avoided, and the safety of clinical operation is guaranteed.

The invention relates to the technical field of health monitoring systems, and provides a fracture prediction system combining a multi-dimensional image technology and artificial intelligence, which comprises an image acquisition terminal, a data processing terminal, a prediction analysis terminal and a user feedback terminal, the image acquisition terminal is used for acquiring multi-dimensional image data of a predicted object; the data processing terminal is used for performing preprocessing and feature extraction on the multi-dimensional image data to generate bone density information, bone structure integrity information and crack detection information; the prediction analysis terminal is used for performing prediction analysis on the prediction object according to the bone density information, the bone structure integrity information and the crack detection information and outputting prediction analysis information; and the user feedback terminal is used for providing a doctor-patient interaction interface and displaying bone density information, bone structure integrity information, crack detection information and prediction analysis information. The method has the effect of improving the accuracy and reliability of fracture risk prediction.

The application discloses a composition for improving bone density and application thereof, and belongs to the technical field of food. The composition is prepared by using 1,3-dioleic acid-2-palmitic acid triglyceride, osteonectin and oligosaccharide in combination, and through the interaction between the components, the absorption and utilization of each other are promoted, the growth and development of the bone of an infant in the growth period are improved, the bone mineral content and bone density are improved, the bone health is promoted, and the composition is safe and has no side effect. Through optimization of the types of the oligosaccharide, it is found that the combination of oligogalactose and 2'-fucosyllactose can better improve the growth and development of the bone of the infant in the growth period.

The utility model relates to the technical field of medical equipment, in particular to an X-ray protection device of a bone mineral density instrument, which comprises an examination couch, a lead curtain and an outer frame are arranged above the examination couch, the outer frame is fixed at the top end of the lead curtain, the outer frame is sleeved on an X-ray scanner of the bone mineral density instrument, and two limiting pieces are arranged at the top end of the outer frame. The outer frame can support the lead curtain, the limiting piece can prevent displacement of the outer frame, the bottom end of the lead curtain can be lifted upwards, an examiner lies on an examination bed, the lead curtain is loosened, a medical worker presses the bottom of the lead curtain with hands, the bottom end of the lead curtain can be attached to patients of different body types, X-rays are prevented from being emitted, and the protection effect on non-examination parts is improved.

The invention provides a composition. The composition is prepared from vitamin A, vitamin D, vitamin E, vitamin K and health-care food or food-acceptable auxiliary materials according to specific proportions and doses. The anti-osteoporosis health-care food has the advantages that the vitamin components have a synergistic effect in the aspect of anti-osteoporosis, and the anti-osteoporosis health-care food can increase bone mineral density and maintain bone mass. In addition, the composition disclosed by the invention can also be used for precise nutritional supplement of specific crowds.

Disclosed herein is a method for manufacturing a composition promoting bone density enhancement, the method including preparing a mixture of Angelica gigas, Cnidium officinale, Phlomis umbrosa, Astragalus membranceus, Amomi fructus, Citri unshius pericarpium, Drynariae rhizoma, Codonopsis pilosulae radix, frankincense, and myrrh, aging the mixture, drying the mixture and grinding the dried mixture into a powder, and extracting a liquid from the powder.

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.

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 invention provides mixed structure grease for promoting skeletal development and improving bone mineral density as well as a preparation method and application of the mixed structure grease. The mixed structure grease for promoting skeletal development and improving bone mineral density comprises the following components in percentage by mass: 2-10% of medium-chain fatty acid triglyceride, 10-50% of medium-long-chain fatty acid triglyceride and 40-90% of long-chain fatty acid triglyceride. The traditional Chinese medicine composition can effectively promote skeletal development and improve bone mineral density.