269 results about "Bone density" patented technology

The invention relates to the technical field of medical rehabilitation, in particular to an artificial intelligence-based orthopedic full-cycle rehabilitation management system, which comprises a rehabilitation demand evaluation module, a three-dimensional pathological modeling module, a multi-modal training generation module, a rehabilitation effect prediction module, a dynamic parameter adjustment module and a full-cycle management module. Multi-dimensional data such as bone mineral density, joint motion range, gait mechanics and psychological state of a patient are collected, an artificial intelligence algorithm is combined for analysis, a personalized rehabilitation scheme is generated, and rehabilitation parameters are predicted and adjusted in real time. The system can dynamically correct the training intensity, the nutritional supplement dosage, the psychological intervention mode and the rehabilitation schedule, and the safety and reliability of data are guaranteed through the block chain technology; according to the system, biomechanics, nutriology, psychology and environmental factors are comprehensively fused, the system has strong adaptive ability and full-period management ability, real-time optimization can be performed according to the rehabilitation process of a patient, and the rehabilitation effect of the orthopedics department and the satisfaction degree of the patient are remarkably improved.

A surgical planning system for use in surgical procedures to repair an anatomy of interest includes a preplanning system to generate a virtual surgical plan and a mixed reality system that includes a visualization device wearable by a user to view the virtual surgical plan projected in a real environment. The virtual surgical plan includes a 3D virtual model of the anatomy of interest. When wearing the visualization device, the user can align the 3D virtual model with the real anatomy of interest, thereby achieving a registration between details of the virtual surgical plan and the real anatomy of interest. The registration enables a surgeon to implement the virtual surgical plan on the real anatomy of interest without the use of tracking markers.

The invention provides an application of bifidobacterium animalis subsp. Lactis CP-9 in preparation of a product for promoting bone growth and development or improving bone health. Long-term research and a large number of experiments show that the bifidobacterium animalis subsp. Lactis CP-9 can improve the bone volume fraction, the bone trabecula thickness, the bone density and the bone volume of an organism, and can also effectively improve the growth hormone level and the insulin-like growth factor 1 level, so that bone growth and development are promoted. Meanwhile, the bifidobacterium animalis subsp. Lactis CP-9 can effectively improve the N-terminal propeptide level, osteocalcin level, bone morphogenetic protein level and osteoprotectin level of I-type procollagen in a body, and remarkably reduce the amino-terminal peptide level of the I-type collagen and the ligand level of nuclear factor kappa B receptor activating factor, so that osteoblast differentiation is promoted, osteoclast differentiation is inhibited, and osteoclast differentiation is inhibited. Furthermore, bone formation is promoted, bone resorption is inhibited, bone metabolism is improved, and finally the effect of improving bone health is achieved.

The invention relates to a metabolic marker for diagnosing diabetic secondary osteoporosis and application of the metabolic marker, and belongs to the technical field of biological medicine. The method comprises the following steps: firstly, screening out obviously different metabolites between osteoporosis (DOP) and osteoporosis-free groups (DM) in diabetic patients; and secondly, screening out significant difference metabolites between the primary osteoporosis patient and the healthy control group, and excluding the intersection of the two groups of difference metabolites to obtain metabolites which exclude the influence of the primary osteoporosis. Metabolic markers, namely cytosine nucleotide, ketoglutaric acid and triethylamine, are obtained through further screening, and when the three metabolic markers are independently used, AUCgt; the AUC during combined use is 0.99, so that the limitation that the sensitivity of the traditional bone mineral density detection on the osteoporosis recognition in the diabetic population is insufficient is effectively made up.

The invention belongs to the technical field of biological medicine, and discloses a probiotic agent capable of improving the physiological activity function of vitamin D and maintaining bone health and application of the probiotic agent. The invention provides a probiotic agent composed of bifidobacterium adolescentis and bifidobacterium longum, the probiotic agent can significantly improve the bone mineral density, the bone trabecula thickness, the bone trabecula number, the bone trabecula connectivity and the bone volume fraction of an osteoporosis mouse, and meanwhile, the bone trabecula separation degree of the osteoporosis-removed mouse is significantly reduced; the level of vitamin D metabolites such as 25-hydroxy vitamin D and 1, 25-dihydroxy vitamin D in mouse serum is improved; the content of serum calcium and alkaline phosphatase in serum of mice is reduced, and the level of osteocalcin and type I procollagen amino terminal peptide in the serum is improved. The probiotic agent can relieve bone calcium loss, maintain bone health, repair bone injury, increase osteoblasts and reduce the osteoporosis degree, and can be used for preparing drugs for preventing and / or treating osteoporosis or preparing health care products or food beneficial to improving bone mineral density.

The invention relates to the technical field of oral implantation guidance, and provides a digital false tooth mounting and positioning device based on three-dimensional scanning and a method thereof. The method comprises the following steps: scanning the oral cavity of a patient through an oral cavity scanner to generate a three-dimensional oral cavity digital model; generating a virtual implant of the patient and corresponding initial implantation parameters based on the three-dimensional oral cavity digital model through a SegFormer segmentation network; based on historical operation data, initial implantation parameters, bone density, patient attributes and occlusal force parameters, a long sequence prediction network is adopted to predict the position offset and bone resorption degree of the virtual implant after osseointegration through a segmented attention mechanism and a network memory cache mechanism, and optimal implantation parameters are obtained; and pushing a visual dynamic model containing the candidate positioning strategy to the user based on the optimal implantation parameter, driving an oral cavity model printer to obtain an implantation guide plate model and an oral cavity environment model, assisting the user in verifying the installation effect of the candidate positioning strategy, and improving the accuracy of false tooth installation and positioning.

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

To provide an apparatus for the treatment or prevention of osteopenia and osteoporosis, stimulating bone growth, preserving or improving bone density, and inhibiting adipogenesis.SOLUTION: A vibration apparatus for treating a subject comprises an actuator configured to generate vibrational energy, a securing mechanism for positioning the actuator upon the body of the subject while maintaining portability of the actuator such that the vibrational energy is directed into an area of the body to be treated, an accelerometer disposed along the securing mechanism, and a controller in communication with the actuator and the accelerometer. The controller is programmed to measure an exposure level of the vibrational energy to the area of the body using acceleration acquired from the accelerometer, and to compare the exposure level with a maximum exposure level such that the exposure level is limited by the maximum exposure level within a predetermined period of time.SELECTED DRAWING: Figure 1

The invention discloses an integrated management system and method for postoperative care of orthopedic patients, and relates to the technical field of medical treatment. Comprising a bone mineral density dynamic monitoring value, six-dimensional mechanical parameters of a joint movement track, emotion spectrum characteristics in voice interaction, microenvironment temperature and humidity changes collected by wearable equipment and skin surface pressure distribution; inputting the recovery data into a multi-modal decision-making model based on orthopedic biomechanics improvement, and generating a nursing scheme including a skeleton stress safety interval, a virtual rehabilitation scene dynamic parameter and an interdisciplinary intervention priority; the scheme parameters are dynamically optimized through a layered reinforcement learning framework special for the orthopedics department, and the deformation logic of the 3D printing brace and the correction strategy of the nursing robot are synchronously controlled; based on the postoperative complication space-time prediction map, a multidisciplinary collaborative response instruction strictly matched with the rehabilitation stage of the patient is triggered.

The application discloses a bone health tablet candy rich in marine peptide calcium chelate and a preparation method thereof, and belongs to the technical field of polypeptides, wherein the calcium chelate peptide provided by the application has an amino acid sequence as shown in SEQ ID No.1, and the specific sequence is GETGPA (F21-1), and the calcium binding capacity of the calcium chelate peptide is 4.72±1.06 μg / mg. The bone health tablet candy provided by the application has good calcium absorption promoting activity. The results of a mouse experiment show that the bone health tablet candy does not cause adverse effects on the growth of mice, can reverse high bone conversion caused by osteoporosis, improves the bone biomechanical properties of osteoporotic mice, and thus achieves the effect of enhancing bone density.

The invention discloses a self-adaptive bionic cancellous bone defect prosthesis and a design method thereof, and belongs to the technical field of medical prostheses, the prosthesis is composed of biological interface gradient microporous structure parts and a main body bionic truss supporting structure part, the biological interface gradient microporous structure parts are arranged at the two ends of the main body bionic truss supporting structure part, and the main body bionic truss supporting structure part is arranged on the main body bionic truss supporting structure part. The method is mainly used for reconstructing bone defects, bionically designing a truss part of a main body with consistent arrangement direction and form of human body bone trabecula through an established linear relation between CT gray value and bone density-elasticity modulus, adaptively matching mechanical conduction of a bone structure, reducing stress shielding effect, and improving bone defect reconstruction efficiency. Meanwhile, various complex mechanical working condition requirements of the prosthesis are met, the prosthesis failure risk is reduced, and the service life of the prosthesis is prolonged.

The invention relates to the field of disease animal model construction, and particularly discloses a postmenopausal osteoporosis and knee osteoarthritis co-disease animal model construction method which comprises the following steps: selecting a female animal as an experimental subject; the selected female animals are injected with a GnRH agonist, meanwhile, low-calcium feed feeding and oxidative stress stimulation are conducted, and feeding is conducted for a preset time; detecting bone mineral density and bone trabecula parameters of the fed female animals, and screening qualified female animals meeting set standards; performing meniscus tearing operation on the qualified female animal, and implanting sustained release microspheres loaded with inflammatory factors at the torn part during the operation; carrying out weight-bearing training on the female animal after the operation, and continuing for a set time length; and performing health detection on the female animals at different time points. According to the method, through multi-factor collaborative induction of the PMOP, minimally invasive construction of the KOA and multi-dimensional health detection, accurate simulation of a co-disease pathological process and clinical characteristics is realized, and the authenticity and stability of the model are improved.

The invention relates to the technical field of medical information, in particular to an osteoporosis risk intelligent early warning method and system based on a big database. The method comprises the following steps: extracting user bone health data in a multi-source health database; evaluating a bone mass state based on the user bone health data; screening osteoporosis risk users in the user bone health data according to the bone mass state; inquiring a medical image of the osteoporosis risk user; extracting a bone mineral density value by using the medical image, and determining a bone mineral density change trend according to the bone mineral density value; detecting the degeneration degree of the bone microstructure by using a medical image; constructing an osteoporosis risk early warning model according to the bone mineral density change trend and the bone microstructure degeneration degree; and inputting the user bone health data into the osteoporosis risk early warning model to generate a risk early warning score. According to the invention, accurate identification and dynamic monitoring of the osteoporosis risk user are realized based on the medical information technology, and the accuracy and response rate of osteoporosis risk early warning are improved.

The invention relates to the technical field of oral medicine, in particular to an intelligent navigation system and method for alveolar bone finishing based on image data fusion, and the system comprises a real-time bone mineral density sensing module which obtains a bone mineral density value through laser scanning and adjusts the temperature; the personalized bone mineral density self-adaptive control module is used for adjusting a bone trimming tool and temperature compensation according to the bone mineral density value; the multi-sensor data fusion module is used for dynamically monitoring the bleeding amount and compensating mechanical vibration of equipment; and the bone cutting path space sensing module is used for acquiring a bone cutting path by combining laser scanning data, CT data and optical coherence tomography data, and determining a real-time path of the tool according to temperature and bleeding amount change. According to the system, through an anti-penetration protection mechanism combining real-time bone mineral density perception, multi-scale tactile feedback and visual enhancement, the penetration risk is remarkably reduced, the operation safety is improved, and the penetration risk is reduced by 93% through the anti-penetration mechanism.

A computer-implemented method of determining fixation of a prosthesis in bone matter based on bone anatomy and density information comprises generating a three-dimensional model of a bone of a patient for output in a video display unit, adding three-dimensional bone density information for the bone matter to the three-dimensional model, simulating a. preparation of the bone to produce a bone surface on the three-dimensional model, simulating placement of the prosthesis in the bone surface, estimating a fixation strength of the prosthesis to the bone matter using the bone density information at the prosthesis, and outputting indicia on the video display unit that indicates risk factors for displacement, of the prosthesis from the bone matter.

The invention belongs to the technical field of dairy product processing, and discloses camel milk composite nutrition powder beneficial to bone health, the camel milk composite nutrition powder is composed of the following raw materials by weight: 70%-75% of whole camel milk powder, 5%-15% of whey protein, 5%-20% of isomaltooligosacharide, 1%-10% of inulin, 0.02%-8% of milk mineral salt, 0.02%-5% of hydrolyzed yolk powder, and the balance water. The oral liquid is prepared from the following components in percentage by weight: 0.01%-0.5% of colostrum basic protein, 0.01%-1% of cartilage powder containing type II collagen, 0.01%-0.1% of N-acetylglucosamine, 0.01%-0.02% of sodium hyaluronate, 0.05%-5% of collagen peptide and 0.01%-1% of liquorice extract. According to the invention, a multi-dimensional health system is constructed by scientifically compounding a plurality of key components: milk mineral salt, colostrum basic protein and hydrolyzed egg yolk powder synergistically promote bone mineral density increase and bone metabolism balance; the II-type collagen cartilage powder, the N-acetylglucosamine and the sodium hyaluronate are combined to realize joint protection and skin repair; the six vitamins and the four minerals can accurately regulate and control the nutrition metabolism of the middle-aged and elderly people, especially can strengthen calcium absorption and oxidation resistance, and can significantly improve the bone health and improve the skin state.

The invention discloses a prediction method and a prediction system for fracture risk of an osteoporosis patient. The method comprises the following steps: firstly, collecting a plurality of parameters such as age, bone mineral density, vitamin D level and the like of the patient; constructing a bone time-varying factor and dynamic prediction model, and determining the influence weight of each parameter on the bone condition at different time nodes; then, a three-dimensional mechanical model is constructed through mechanical simulation of the skeleton microstructure, stress distribution, strain states and structural stability of the skeleton under different loads are simulated, and the model is corrected by fusing parameters to influence weights; then the fracture probability in a future preset time period is calculated; and finally, a result is presented through a nomogram visualization model. The system realizes the above method, can predict the fracture risk more accurately, and provides powerful support for clinical diagnosis and treatment.

The invention discloses a chest wall defect three-dimensional reconstruction and personalized repair material design system, and relates to the technical field of intelligent medical aided design. Comprising a data acquisition module used for acquiring and preprocessing multi-modal data of the chest wall of a patient; the partition module is used for dividing the defect area into different functional partitions by coupling and analyzing stress and blood flow data and setting a threshold value; the dynamic optimization module is used for mapping the breathing time sequence to a three-dimensional space and dynamically correcting the partition boundary according to the stress change in the breathing cycle; the interface matching module is used for carrying out parameterization design on a host bone interface according to the bone mineral density data; and the optimization design module is used for carrying out topological structure and pore distribution dual optimization on the repair material based on the dynamic partition and the interface parameters, and finally, the output module generates design data capable of directly driving manufacturing. Precise matching of the repairing material and the physiological anatomical structure and the dynamic physiological function of the patient is achieved.

The invention discloses a calcium liposome for promoting bone health as well as a preparation method and application thereof. The calcium liposome is prepared from the following components in parts by weight: 3 to 7 parts of phospholipid composition, 0.1 to 0.35 part of phytosterol, 1 to 5 parts of insoluble calcium, 1 to 7.5 parts of protein and 0.1 to 1 part of modifier, wherein the phospholipid composition consists of egg yolk lecithin, phosphatidylinositol and distearoyl phosphatidylcholine, and the mass ratio of the egg yolk lecithin to the phosphatidylinositol to the distearoyl phosphatidylcholine is (8-12): (7-11): ( The specific phospholipid composition obtained through screening is combined with phytosterol to serve as a membrane material to wrap a compound of insoluble calcium and protein, so that the dispersity and the stability of the prepared calcium liposome are obviously improved, when the calcium liposome is applied to preparation of calcium soft capsules, the oil leakage phenomenon is obviously reduced, meanwhile, the absorption of an organism to calcium is also enhanced, and the bioavailability of the calcium soft capsules is improved. Particularly, the bone mineral density and the bone calcium content of an organism are obviously increased, healthy development of bones is promoted, and the difficulty and the pain point of insoluble calcium applied to the fields of functional foods, health care products, biological medicines and the like are effectively solved.

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

The invention relates to a spinal degenerative disease grading early warning and rehabilitation management system and method, and belongs to the technical field of medical equipment. The system comprises a system control module, a first-stage detection module, a second-stage detection module, a third-stage detection module, a data processing module, an evaluation module and a rehabilitation management module. The first-stage detection module is used for acquiring foot pressure distribution data of a patient; the secondary detection module collects electromyographic signal data of muscles around the spine of the patient; the third-stage detection module is used for collecting vertebral bone mineral density data of the patient. The data processing module is used for preprocessing and analyzing the collected data; the evaluation module is used for carrying out grading evaluation on the spinal degenerative lesion; and the rehabilitation management module formulates a personalized rehabilitation scheme according to the evaluation result. The system adopts a logic mechanism of hierarchical detection and hierarchical intervention, automatically adjusts intervention measures according to different evaluation indexes, and realizes accurate rehabilitation management. The risk of spinal degenerative diseases is found in an early stage, a targeted rehabilitation scheme is provided, and spinal diseases are effectively prevented and managed.

A method of treating a patient in need of an orthopedic implant is described. The method includes obtaining the T-score or bone density of the patient's native bone at a site of implantation, said T-score or bone density being determined by a DEXA scan or other means of determining a T-score or bone density. The method further includes selecting an orthopedic implant that has about the same density as the native bone at the site of implantation, and implanting the orthopedic implant at the site of implantation.

The invention discloses a safety risk early warning method and system for physical training, and relates to the technical field of physical training. Obtaining a quantum biological field abnormal coefficient, a muon bone mineral density variation coefficient, a motion posture coefficient and a training environment coefficient of each part of each trainee in real time; according to the coefficients, the safety risk value of each part of each trainee is accurately analyzed, and the safety risk evolution trend of each trainee is deeply analyzed; and finally, on the basis of the risk evolution trend, performing optimization and adjustment on protection measures of all parts of all trainees in a targeted manner. According to the method, through multi-dimensional data collection and analysis, dynamic monitoring and early warning of physical training safety risks are achieved, protection measures are optimized in time, the training risks are effectively reduced, reliable guarantee is provided for physical training safety, and the method is suitable for various physical training scenes.

The application discloses a multi-source bone density data fusion method, system and storage medium, and belongs to the field of medical big data and intelligent diagnosis. The method aims at the systematic deviation between DXA devices of different manufacturers and the high detection uncertainty problem under the primary medical environment. Firstly, the multi-source bone density data and the corresponding physical calibration parameters are projected to a unified measurement space through standardized preprocessing and device-related mapping functions, and the device barriers are eliminated by using distribution alignment constraints. Then, Gaussian uncertainty modeling is performed on the projected data to quantify the influence of specific clinical factors on measurement reliability. Based on the uncertainty propagation mechanism, the multi-source discrete evidence is adaptively compensated and fused by weight, and multi-dimensional features including physiology, medical history and anatomical topology are introduced for joint modeling. Finally, end-to-end optimization is performed through a joint function of fusion uncertainty constraint and task loss, and high-robustness osteoporosis risk intelligent evaluation is realized. The application significantly improves the consistency of cross-device T value prediction and the accuracy of missed diagnosis / misdiagnosis review, and is suitable for multi-center bone density mutual recognition and primary medical bone health intelligent evaluation scene.

The present invention discloses a measurement and judgment method for orthopedic diagnosis, which belongs to the technical field of orthopedic diagnosis and treatment, comprising: collecting magnetic field signals of bone metabolism through a magnetic field sensor array, collecting electrical impedance spectroscopy data through a four-electrode method to form an original data set; filtering and denoising the magnetic field signals and correcting motion artifacts, and then fitting the electrical impedance spectroscopy data with a Cole-Cole model to extract bone density, porosity, and moisture content; calculating bone metabolic current density through a magnetic field-current inversion algorithm, combining electrical impedance characteristics and current characteristics, and generating a bone health index through a dynamic weight distribution mechanism; by combining the magnetic field-current inversion algorithm with Cole-Cole model analysis, multi-dimensional information of bone metabolic activity and bone tissue structure can be simultaneously obtained, thereby effectively overcoming the problem of insufficient information from a single physical field and significantly improving the accuracy of diagnosis.

CT images from the neck, lung, cardiac, abdominal, pelvis, hip, spine or lower extremity areas are obtained and analyzed by a computer to measure trabecular bone density on each level it is available, in the spine and hip. Any bone tissue associated with vertebrae that is fractured is excluded, along with Schmorl's nodes, large blood vessels, and cortical bone, to accurately average the trabecular bone density on a scan. The density of fat, heart, and muscle tissue of a subject is used to calibrate the results. That data may be input to an absolute fracture risk model (Fracture Risk Algorithm calculator). Information such as bone density, T score, Z score, fracture risk, and identification of vertebral fractures (if present) may be determined and reported.

The invention discloses an application of a humanized DKK-1 monoclonal antibody in preparation of a medicine for treating osteoporosis. A light chain and a heavy chain of the humanized DKK-1 monoclonal antibody are shown as SEQ ID NO.1-2. The invention further discloses a preparation method of the humanized DKK-1 monoclonal antibody. Animal experiments prove that the humanized DKK-1 monoclonal antibody can remarkably improve the bone mineral density of lumbar vertebrae and tibia of an osteoporosis model mouse and can promote bone growth, and a new treatment scheme is provided for treating osteoporosis.

The present invention provides muscle-derived progenitor cells that show long-term survival following transplantation into body tissues and which can augment non-soft tissue following introduction (e.g. via injection, transplantation, or implantation) into a site of non-soft tissue (e.g. bone) when combined with a biocompatible matrix, preferably SIS. The invention further provides methods of using compositions comprising muscle-derived progenitor cells with a biocompatible matrix for the augmentation and bulking of mammalian, including human, bone tissues in the treatment of various functional conditions, including osteoporosis, Paget's Disease, osteogenesis imperfecta, bone fracture, osteomalacia, decrease in bone trabecular strength, decrease in bone cortical strength and decrease in bone density with old age.

A radiation imaging apparatus includes an image obtaining unit configured to obtain image data corresponding to incident radiation, and an image processing unit configured to perform a first bone density measurement based on image data obtained by the image obtaining unit with a first exposure field, and perform a second bone density measurement based on image data obtained by the image obtaining unit with a second exposure field narrower than the first exposure field.

This application relates to the field of medical technology and discloses a bone density measurement method, system, and device. The method comprises: analyzing a captured medical image to obtain coordinate values and scan values for each scan point of a target area; determining a target three-dimensional area on the medical image in response to acquired three-dimensional area definition data; determining a target scan point within the target three-dimensional area based on the coordinate values of each scan point; and correcting the scan values of each target scan point using phantom correction data to determine the equivalent bone density of the target three-dimensional area based on the corrected scan values. This application allows for customizing the target three-dimensional area, thereby flexibly measuring bone density in the desired area.