30 results about "Bone age" patented technology

The invention provides an orthodontic skull lateral film cervical vertebra image segmentation method and system. According to the method, an orthodontic skull side position film image to be processed is obtained, a target image area containing a second cervical vertebra, a third cervical vertebra and a fourth cervical vertebra is determined, then image preprocessing is carried out on the target image area to obtain a standardized input image, then the standardized input image is input into a CNN-Transformer fusion segmentation network for segmentation reasoning, and the image is obtained. According to the method, the centrum segmentation masks of the second cervical vertebra, the third cervical vertebra and the fourth cervical vertebra are output, and finally, the segmentation result is output based on the centrum segmentation masks, so that the segmentation result is output based on the centrum segmentation masks, and a repeatable and traceable objective basis can be provided for subsequent morphological parameter extraction and bone age / maturity quantitative evaluation; the subjective deviation and time cost of manual sketching are practically reduced, and the segmentation consistency and availability under the cross-individual and cross-equipment condition are improved.

The utility model relates to the technical field of medical instruments and the like, and provides a portable bone age instrument which is provided with a machine body which comprises an X-ray detection box module, a machine body shell and a machine body upper cover. The machine body upper cover is assembled at the upper end of the machine body shell, and the X-ray detection box module is assembled in the machine body shell; a shell inlet is formed in the side wall of the upper end of the machine body shell, a detection opening and a detection channel are formed in the upper end of the X-ray detection box module, and the shell inlet, the detection opening and the detection channel are communicated; a main control module is arranged to control the X-ray detection box module to detect the bone age of the hand in the detection channel and obtain detection data for analysis and processing; and a main support frame is arranged to support the X-ray detection box module and the machine body shell, so that measurement by a user is facilitated, the size of the bone age instrument is reduced, the structure of the bone age instrument is simplified, the assembly difficulty of the bone age instrument is reduced, and the carrying convenience of the bone age instrument is improved.

This invention discloses a bone age-assisted diagnostic system and method based on multimodal clinical data fusion and retrieval enhancement. The system includes acquiring X-ray images of the subject's hand and multimodal clinical data containing endocrine indicators; extracting visual feature vectors from the images using a deep learning model and encoding the clinical data into clinical semantic feature vectors; deeply fusing visual and clinical features through a multimodal cross-attention mechanism to generate diagnostic fusion features; predicting bone age values ​​based on the fusion features; retrieving standard atlas descriptions from a medical knowledge base using visual features and retrieving disease risk warnings using the fusion features; and finally inputting the predicted values, atlas descriptions, and risk warnings into a generative large language model to generate a natural language diagnostic report containing imaging evidence and clinical recommendations. This invention solves the problem of existing technologies relying solely on images and being unable to interpret the basis for judgment.

1. The name of the design product: micro-aging bone age instrument detection device. 2. The use of the design product: for human bone age determination. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view. 5. The bottom of the design product is not easy to see or not visible during use, omit the top view.

The invention provides a bone age AI prediction system based on MRI, and belongs to the technical field of medical image processing. The system comprises a data acquisition unit used for acquiring joint MRI image data; the data preprocessing unit is used for preprocessing the joint MRI image data; and the bone age prediction unit is used for performing bone age prediction according to the preprocessed joint MRI image data by utilizing the trained bone age prediction model and outputting a bone age differential diagnosis result. According to the system, MRI images are used for bone age prediction, radiation damage in the radiography process is avoided, meanwhile, MRI has the advantages that cartilage around epiphysis is accurately visualized, the contrast ratio is high, data are easy to store, the system is suitable for bone age prediction research, meanwhile, pure automatic prediction is adopted, human factor interference can be reduced, and accuracy is high.

The application provides a palate midline suture maturity prediction method based on deep learning, obtains a plurality of head lateral film image samples, respectively labels palate midline suture maturity information, and obtains a head lateral film image dataset; a palate midline suture maturity prediction model is constructed, the palate midline suture maturity prediction model comprises an image preprocessing module, a feature extraction module, a hybrid multi-scale attention convolutional neural network and a feature fusion module; the head lateral film image dataset is used to train the palate midline suture maturity prediction model, and a trained palate midline suture maturity prediction model is obtained; after a head lateral film image to be predicted is input into the trained palate midline suture maturity prediction model, a palate midline suture maturity prediction result is obtained; the application can reduce subjective differences of artificial interpretation, can improve the accuracy, consistency and reliability of bone age prediction, can realize non-invasive, objective and efficient palate midline suture maturity prediction, and provides a scientific basis for clinical expansion arch treatment decision-making.

The invention provides a training method of a bone age prediction model and a bone age prediction method and device. The invention relates to the technical field of computers, in particular to a bone age prediction model training method which comprises the steps that a plurality of first samples and a plurality of second samples are obtained, the first samples comprise hand bone image samples of human bodies in a first group, and the second samples comprise hand bone image samples of human bodies in a second group; the group scale of the first group is larger than that of the second group; and using the sequence knowledge of the relative ages contained in the plurality of first samples to assist the plurality of second samples to train the bone age prediction model to obtain a target bone age prediction model for the second group.

The invention relates to a remote artificial intelligence detection method and system for a bone age digital X-ray image, and the method comprises the following steps: remotely obtaining X-ray image data which are obtained through the transmission of a 5G private network in a desensitization encryption mode; carrying out normalization processing on the received X-ray image data; according to the X-ray image data after normalization processing, needed GPU computing power resources are judged, and at least one needed AI computing server is called based on the load balancing principle; acquiring a bone age detection result of the AI computing server, and generating a detection report; wherein the X-ray image data and the detection report are stored in an AI storage device, and the storage of the X-ray image data and the detection report follows an IHE integration specification. Compared with the prior art, the problems that bone age detection resources are deficient, the cost is high, privacy is prone to being leaked and the like in basic and remote areas are effectively solved, and the detection efficiency and the service coverage are improved.

The invention relates to a method for three-dimensionally printing bone organs and application, belongs to the technical field of three-dimensional printing, and provides a material composition for three-dimensionally printing the bone organs, the material composition comprises bio-ink, osteoblasts and osteoclasts, and the number ratio of the osteoblasts to the osteoclasts is 1: (2-3.5). Meanwhile, the invention provides a method for carrying out three-dimensional printing on a bone organoid by utilizing the material composition and a method for preparing a bone aging organoid. The bone organoid provided by the invention provides an ideal experimental platform for pathogenesis research of degenerative bone diseases, can be used for bone tissue engineering research, can also provide an important experimental basis for drug screening, treatment strategy optimization and the like of degenerative diseases such as osteoarthritis and the like, and has remarkable scientific value and application potential.

The invention provides a lifting type detection device based on bone age ultrasonic detection, and relates to the technical field of medical instruments. A group of moving frames are mounted on the base in a threaded manner, a group of moving arms are slidably mounted at the outer ends of the moving frames, a group of host machines are fixedly mounted at the tops of the outer ends of the moving frames, and limiting blocks at the outer ends of the bottoms of mounting seats are mounted on limiting grooves in the side ends of the ultrasonic detectors in an inserted manner; the device can realize height adjustment and angle fine adjustment, and an arc-shaped friction block is matched with a threaded rod to adjust the rotation tightness; the ultrasonic detector is quickly disassembled and assembled by utilizing a limiting block, a supporting rod and a second elastic piece; the movable arm is matched with the positioning groove through the guide block and the wedge-shaped block to realize position adjustment, so that the adjustability and the operation convenience of the device are integrally improved; the problems that the reliability of detection signals and results is influenced by inflexible adjustment, the accuracy comprehensiveness is reduced due to difficulty in adapting to various skeleton detection, the cost and time are increased due to tedious disassembly and maintenance of an ultrasonic detector, and the working continuity is influenced are solved.

The invention relates to the technical field of medical imaging, in particular to an auxiliary positioning method and system for a dual-energy X-ray bone mineral density and bone age instrument. The method comprises the following steps: acquiring a real-time positioning image of a hand of a subject; dynamically adjusting the identification line template according to subject information to generate an individualized positioning identification line; image processing is conducted on the images collected in real time, whether the hand posture meets the preset standard or not is judged, the coincidence degree is judged, and if the coincidence degree is too low, an instruction is generated to conduct posture correction guiding; the positioning image and the individualized positioning identification line are displayed in a real-time overlapping mode; according to the generated prompt instruction, voice and character prompt is carried out, and the subject is guided to gradually adjust the hand position until the positioning requirement is met. According to the method, the individual hand structure difference is fully considered, the positioning mark line template is adaptively zoomed through the wrist width measurement result in the real-time image, and individualized matching of the template and the hand contour of the subject is achieved.

The invention belongs to the field of bone age prediction, and particularly relates to an automatic bone age prediction method based on multi-modal feature matching. A hand bone X-ray image is obtained, and an enhanced hand region image is obtained through preprocessing; inputting the hand region into a segmentation network to obtain a plurality of local feature regions, and adding text tags according to the regions; corresponding image and text feature vectors are obtained through a feature matching network, and the weight of a feature extraction network is reserved; a targeted loss function is added in the training process; and finally performing fine tuning to obtain an automatic bone age prediction model. According to the method, the text labels are selected to carry out auxiliary feature matching, so that the feature positioning capability of the model on different local areas is improved. Through a cyclic feature matching mode, the generalization of the model on different data sets is improved, the effect of accurate prediction on different data sets through one model is achieved, the training overhead is saved, and the availability of the model is improved.

The application discloses a bone age prediction method, which comprises the following steps: pre-training a bone age prediction model through a preset training set, and using the bone age prediction model to predict the bone age. The technical scheme adds an attention mechanism according to the coupling degree of different convolution layer information in the bone age prediction model, improves the problem that the traditional attention mechanism is not easy to converge, and directly adds the gender information into the neural network model for end-to-end training, thereby optimizing the training process and further improving the accuracy of the bone age prediction. The bone age prediction model used in the bone age prediction method is verified through the attention mechanism, and the model pays more attention to the metacarpal part of the patient, thereby having a good prediction effect.

The invention discloses nutritional composite powder for promoting growth and bone age balance. The milk powder is prepared from the following raw materials in parts by weight: 30-50 parts of modified milk powder, 15-25 parts of whey protein concentrate, 5-10 parts of compound minerals, 0.3-0.7 part of gamma-aminobutyric acid, 0.1-0.3 part of L-lysine, 0.4-0.6 part of bone collagen peptide, 2-5 parts of hydrolyzed yolk powder, 1-3 parts of yolk globulin, 3-6 parts of milk minerals, 2-4 parts of yolk phospholipoprotein, 1-3 parts of compound vitamins and 1-2 parts of citrus fibers. The health food is prepared from 1-2 parts of poria cocos powder, 1-2 parts of Chinese yam powder, 0.5-1 part of endothelium corneum gigeriae galli powder, 0.3-0.5 part of taurine, 1-3 parts of lactic acid bacteria compound powder, 1-2 parts of inulin and 0.1-0.3 part of fructus momordicae powder. The invention belongs to the technical field of nutritional food, and particularly provides nutritional composite powder capable of promoting growth and bone age balance, which is comprehensive in nutritional ingredients, scientific in proportion, capable of effectively supplementing various nutrients required by growth and development of teenagers, capable of remarkably promoting skeletal development, capable of improving body immunity and capable of providing comprehensive nutritional support for healthy growth of the teenagers.

A method for calculating an expected adult height, according to an embodiment of the present application, comprises the steps of: generating a growth prediction model; and calculating an expected adult height by using the generated growth prediction model, wherein the step of generating the growth prediction model further comprises the steps of: acquiring growth statistics data and input data including height information at a point in time of measurement, chronological age information at the point in time of measurement, bone age information at the point in time of measurement, and gender information; calculating the adult height on the basis of the input data and the growth statistics data; and generating the growth prediction model on the basis of the input data and the calculated adult height.

The application discloses a kind of pediatric growth promoting preparation, belong to the technical field of traditional Chinese medicine preparation, including Fructus Schisandrae, radix pseudoginseng, dried ginger, angelica, amomum villosum, incense, dried tangerine or orange peel, June snow, Chir Chir, dog spine, and cow bone powder.The preparation of the present application combines the theory of traditional Chinese medicine for invigorating the spleen and kidney, regulating qi and blood, wherein Fructus Schisandrae, radix pseudoginseng, dried ginger and the like can invigorate the spleen and stimulate appetite, significantly improve the digestive function and improve the absorption rate of nutritional substances;Amomum villosum and amomum villosum regulate the middle-jiao qi movement, relieve abdominal distension and stagnation of qi, and further optimize the absorption state;Chir Chir, dog spine and cow bone powder directly act on the skeletal system, tonify the kidney and strengthen the bone, promote chondrocyte proliferation and longitudinal growth of the skeleton, and effectively improve the height growth speed.The formula takes into account the intervention of growth disorders such as precocious puberty, delays the bone age through the bidirectional regulation of nourishing yin and purging fire and tonifying the kidney and filling essence, and gains valuable time for height growth.

The utility model discloses a convenient bone age detector, and relates to the technical field of detection equipment, and the convenient bone age detector comprises a housing, a detector, an all-in-one computer and a printer. The shell is provided with a detection port; the detector is installed in the shell, and the detection port is connected with the detector and used for detecting the bone age. The all-in-one computer is installed on the side wall of the shell and used for controlling the detector to conduct bone age detection. And the printer is arranged in the shell, is positioned below the detector, is connected with the all-in-one computer and is used for printing bone age detection images. The bone age detector integrates the detector, the all-in-one computer and the printer, so that the whole detection process can be completed in one device. The integrated design greatly simplifies the operation process, and a user does not need to switch among a plurality of devices, so that the detection efficiency is improved. In addition, the instant detection function of the detector further improves the convenience of the detector, so that a user can quickly obtain a detection result.

A method and system for constructing a bone aging degree prediction model, a device and a medium. The method comprises: acquiring CT images of target groups; dividing each CT image into a background region and regions of interest; on the basis of grayscale values, performing region subdivision on the regions of interest on each CT image, so as to obtain a plurality of subdivided regions in the regions of interest, and obtain the area proportion of each subdivided region in the regions of interest; and, on the basis of the CT images of the target groups and the area proportion of each subdivided region in the regions of interest on each CT image, and by means of a deep learning model framework, training to obtain a bone aging degree prediction model. The method can intelligently and more accurately predict the degrees of osteoporosis of people under test and whether they suffer from osteoporosis.

The invention relates to the field of online intelligent medical treatment, in particular to a real-time online bone age prediction system and method of a WeChat applet. The method comprises the following steps: acquiring and preprocessing a public CT data set; processing the training image through a segmentation network to obtain a local feature image; the predicted bone age is obtained through the prediction network, and a development percentile and an important joint area are obtained through matching; the online bone age prediction platform builds a front end through a WeChat applet, and designs the front end and a rear end through an applet SDK (Software Development Kit); and generating a report and returning a result to a front end in a JSON format. The lightweight bone age prediction method has the advantages that the lightweight prediction model is obtained through standardized preprocessing, the lightweight bone age prediction model and a template comparison method, and the processing time is effectively shortened. A patient can rapidly obtain multiple standard predicted bone ages, general development conditions and growth problem areas through detailed reports, and then treatment or selective examination is selected in a targeted mode, so that the purposes of saving money and time and conducting preliminary evaluation are achieved.

The invention discloses a method and system for evaluating the bone age of a human body through a three-dimensional ultrasonic image and a medium, and belongs to the technical field of medical image processing and three-dimensional reconstruction. Comprising the following steps: acquiring a three-dimensional ultrasonic image of a human wrist bone; segmenting a bone tissue region of the three-dimensional ultrasonic image to generate a binary mask; converting a pixel region corresponding to the wrist bone tissue in the binary mask into a discrete three-dimensional point cloud; acquiring global features based on the three-dimensional ultrasonic image; the three-dimensional point cloud generates an initial bone surface through Gaussian distribution; iteratively generating a globally continuous UDF field through a UDF predictor; determining each point on the bone surface based on the UDF field, and outputting a smooth bone surface grid model; evaluating block-by-block epiphysis on the bone surface grid model in a grading manner, and calculating the bone age; according to the method, the bone age of the human body can be accurately predicted by using the ultrasonic image.

The invention relates to the technical field of medical image processing, in particular to a children wrist X-ray film bone age prediction system based on deep learning, which comprises a data acquisition module, a time sequence analysis module, a group classification module, a feature fusion module and a prediction optimization module which are in signal connection with one another, the carpal bone feature strengthening module is used for carrying out feature strengthening on a carpal bone time sequence of a gymnastic training group according to carpal bone feature strengthening weights, generating a weighted fusion time sequence, and outputting a dynamic carpal bone age vector and a dynamic RUS bone age vector by respectively capturing a time sequence dependency relationship between RUS bones and carpal bones; and the prediction optimization module is used for constructing a carpal bone dominant prediction channel and an RUS bone auxiliary prediction channel for the gymnastic training group according to the dual-channel deep learning model. According to the invention, through group classification and sequential dynamic feature fusion, in combination with a dual-channel deep learning model, differential bone age prediction and accurate evaluation of carpal development delay of common children and gymnastic training children are realized.

1. Name of the design product: bone age instrument base. 2. Use of the design product: the design product is used for detecting bone age. 3. Design points of the design product: combination of shape and pattern. 4. Picture or photo best indicating the design points: perspective view. 5. The bottom surface of the design product is the part that is not easy to see or cannot be seen during use, so the top view is omitted.

The utility model relates to the technical field of medical instruments, in particular to an anti-radiation cover for an X-ray bone age instrument, which comprises a cover body, an equipment groove is arranged at the top of the cover body, a detection cavity is arranged on the cover body, the detection cavity is positioned below the equipment groove, a detection port is arranged on the front side of the detection cavity, an anti-radiation curtain is mounted on the detection port, and an image plate is arranged at the bottom of the detection cavity. A ray opening is formed in the bottom of the equipment groove, a lens is installed on the ray opening, a top cover is installed on the equipment groove, the cover body is made of light anti-radiation materials, X rays are effectively blocked, operators are protected against radiation injury, work safety is ensured, and the equipment groove is designed to facilitate installation of an X-ray generator and other related equipment. External equipment is easily connected through a data port in the top cover, automatic evaluation and report generation are achieved, the working efficiency is improved, the upper cover and the lower cover are separated, the height of the detection cavity is adjusted through the air cylinder, the requirements of different patients are met, and the operation flexibility is improved.

The invention discloses a pediatric bone age film shooting fixing device, and relates to the field of auxiliary fixing equipment, and the pediatric bone age film shooting fixing device comprises a palm rest, a forearm bandage and a finger rest; according to the pediatric bone age film shooting fixing device, by arranging the palm rest, the forearm binding band and the finger rest, during shooting, the forearm and the palm of a child can be placed on the palm rest, the forearm of the child is fixed through the forearm binding band, the finger is fixed to the finger rest through finger pressure, and after the palm rest and the finger rest are matched to flatly lay the arm and the palm of the child, the finger rest is rotated to separate the finger of the child; in this way, the palm and fingers of the child are placed in a specified posture, the palm of the child is effectively prevented from shaking in the shooting process, and it is ensured that a shot picture of the palm has high quality.

FIELD: pediatrics; endocrinology.SUBSTANCE: invention can be used to predict the development of idiopathic precocious development (IPD) in obese girls under 9 years of age. The method includes determining the patient's height and BMI. Then, bioimpedance analysis is performed and the basal metabolic rate (BM), percentage of adipose tissue, active cellular mass (ACM) and skeletal muscle mass (SMM), and the proportion of SMM are determined. In addition, X-rays of the hands are performed and bone age is determined using the Greulich atlas. Furthermore, with normal values of BM, percentage of body fat and ACM, elevated values of BMI, SMM, proportion of SMM, the presence of tall stature and bone age ahead of biological age by 1-3 years, the development of IPD is predicted in girls with obesity up to 9 years of age.EFFECT: method is simple, accessible, and allows for the effective prediction of the development of IPD in obese girls.1 cl, 2 ex

The invention discloses a traditional Chinese medicine composition for treating child development retardation and bone age abnormity and application thereof, and belongs to the technical field of traditional Chinese medicine, the traditional Chinese medicine composition comprises the following raw materials by weight: 8-20 parts of radix fici simplicissimae, 4-15 parts of bighead atractylodes rhizome, 4-12 parts of radix clematidis, 8-18 parts of Chinese angelica, 5-16 parts of teasel root, and 5-16 parts of white peony root; the invention further discloses a preparation method and application of the traditional Chinese medicine composition. According to the invention, through three-dimensional linkage of tonifying spleen and kidney to consolidate foundation and fire, nourishing qi and blood to charge sources and dredging meridians and collaterals to improve efficiency, the core targets of inhibiting abnormal bone age progression, promoting growth and strengthening muscles and bones are achieved. Wherein the radix clematidis has the characteristics of dredging meridians and removing bone sticking and can assist in regulating bone metabolism and dredging the drug efficacy path. The composition has the effect of clinically inhibiting the bone age abnormal progress caused by precocious puberty, and becomes a characteristic synergistic key for treating the dwarf disease and inhibiting the bone age abnormal progress. The whole formula gives consideration to inhibition of pathological bone age development and excitation of physiological growth potential, and a traditional Chinese medicine solution for treating both symptoms and root causes is provided for children with growth and development disorders.

The invention relates to the technical field of health exercise management, in particular to a teenager physical exercise and health management system, which comprises an exercise health sensing module for collecting exercise state data, development monitoring data, psychological state data and exercise scene data; the development adaptation analysis center is combined with a TW3 bone age assessment method and dynamic percentile curve tracking to assess the exercise ability and the development adaptation degree, and the exercise potential is predicted through a growth critical period prediction model; the training scheme generation module is used for matching development stages through a DTW algorithm, adjusting the motion type, intensity and time length and generating a training scheme; the multi-risk prevention and control unit evaluates a physiological overload risk, an equipment environment risk and a psychological stress risk in real time, quantifies a risk weight, and generates a target training scheme in combination with a real-time risk level and historical damage data; and the home-school-social cooperation unit synchronizes the exercise health data to the data end and deploys training plans and resources. Therefore, the problems of poor resource collaboration, management strategy solidification and the like in the prior art are solved.

The invention provides a bone age prediction method based on multi-modal feature fusion, a storage medium and electronic equipment. The method comprises the following steps: predicting a plurality of key anatomical points in a wrist X-ray image based on a pre-trained key point detection network, and segmenting a plurality of regions of interest; extracting global feature vectors of the regions of interest based on a pre-trained backbone network, extracting local depth feature vectors of a plurality of regions of interest based on two pre-trained lightweight networks sharing weights, and splicing and fusing the local depth feature vectors and gender feature vectors, obtaining significant feature vectors of the local features; calculating an attention weight based on the splicing of the global feature vector and the local feature apparent feature vector, and obtaining a fusion feature vector based on the attention weight; and inputting the fusion feature vector into a preset regression device, and outputting a bone age prediction value. According to the method, high-precision prediction can be achieved, high interpretability is achieved, and bone age prediction adapting to individualized differences is achieved.

In alternative embodiments, methods as provided herein are used to maintain or extend the self-renewing capacity of HSCs in long term culture, where the HSCs can be isolated from bone-aged marrow donors. In alternative embodiments, methods as provided herein use a three-dimensional (3D) nanobioreactor. In alternative embodiments, provided are methods for regaining of the self-renewing capacity by hematopoietic stem cell (HSC) that is lost after long-term culture, where the methods comprise placing the HSC that have lost self-renewing capacity (so-called "exhausted HSCs) into a supporting, nourishing microenvironment for the additional co-culture period; and in alternative embodiments the methods comprise long term culture of HSCs isolated from bone aged marrow donors.

The utility model relates to the technical field of bone age detection equipment, and particularly discloses a multi-person simultaneous bone age detection device, which comprises a detector main body, a placement plate and a channel, a detection chamber for shooting an X-ray film is arranged in the detector main body, the placement plate is fixedly arranged in the detection chamber, the top surface of the placement plate is used for placing a hand of a subject, and the top surface of the placement plate is used for placing the hand of the subject. The channels are fixedly connected to the side wall of the detector main body, the channels are communicated with the detection chamber, and the channels are used for allowing the hands of a detected person to stretch into. The bone age detection efficiency can be improved.