941 results about "Vertebral body" patented technology

The invention belongs to the technical field of medical implant prostheses, and particularly relates to a self-stability cervical interbody fusion cage which comprises a fixing plate and a fusion cage body. An adjusting rod is mounted in the fusion cage main body, a mounting groove is formed in the fusion cage main body, the adjusting rod and a sliding block are mounted in the mounting groove, a check block is mounted on the adjusting rod, and the check block drives the sliding block to move; an adjusting groove is formed in the fusion cage body, a connecting plate and a protruding tooth rod are installed in the adjusting groove, a contact plate is installed on the connecting plate, and a top block and a sliding block are connected through a pull rope; when the interbody fusion cage is implanted, the protruding toothed rod retracts, the surface of the protruding toothed rod is kept flat and smooth, implantation of the interbody fusion cage is facilitated, extrusion, friction and scratching are avoided, then after implantation, the protruding toothed rod stretches out, friction force between the interbody fusion cage and the vertebral body end plate is increased, and it is guaranteed that the fixing effect and stability of the interbody fusion cage are good; the treatment effect is improved.

The invention discloses an in-vitro bionic mechanical testing system and method for spinal skeletal muscles, and particularly relates to the field of mechanical testing, and the system comprises a bionic construction module, a finite element modeling module, a multi-axis mechanical loading module, an iterative calculation module and a correction module; through modular design, the system comprises a vertebral body unit, an intervertebral disc simulation assembly and a skeletal muscle simulation unit, each assembly is customized according to anatomical features of a human body, a finite element modeling module is utilized to generate a three-dimensional model, a multi-directional mechanical load is applied, and response data is collected; experimental data are input into the finite element model for iterative calculation, so that stress distribution, a strain field and kinematic deviation are compared; if the error exceeds a preset threshold value, the model parameters and the physical parameters are corrected until the experiment and simulation results converge; and finally, based on the optimized finite element model, predicting a failure mechanism of the spinal skeletal muscle under a complex load, and evaluating the risks of fracture, hairline fracture, nucleus pulposus protrusion and muscle strain.

The invention provides an L1-L4 lumbar vertebra segment-oriented multi-feature fusion diagnosis system and method, and the system comprises an image preprocessing module which is used for receiving a lumbar vertebra CT image sequence of a patient; a centrum anatomy partition module; the multi-dimensional image feature extraction module is used for extracting four types of quantitative features from each sub-region; the clinical multi-modal data coding module is used for independently acquiring and processing three types of clinical data: a multi-modal graph attention fusion network; and the segment-level diagnosis output module outputs diagnosis results of three levels. Through a parallel processing architecture and an optimized feature extraction algorithm, the whole diagnosis process only needs 45 seconds from data input to report generation, time is saved compared with manual film reading, and the consistency of diagnosis results is remarkably improved.

The embodiment of the invention provides a scoliosis Cobb angle determination method and device based on Mama, equipment and a storage medium. The method is applied to the scoliosis prediction field. The method comprises the following steps: acquiring image information, and preprocessing the acquired image information to obtain an original image; performing multi-level local feature extraction on the original image through an encoder to obtain a first feature map; performing global feature capture on the first feature map through a Mama module to obtain a second feature map; decoding the second feature map through a decoder to obtain a target feature map; generating, by a prediction module, a central heat map, an offset map and a centripetal vector map based on the target feature map; according to the central heat map, the offset map and the centripetal vector map, extracting central point coordinates of the centripetal body, and according to the central point coordinates of the centripetal body, determining four angular point coordinates of the centripetal body; the Cobb angle is determined through a geometric algorithm according to the coordinates of the four angular points of the cone, and the measurement precision of the Cobb angle is improved.

The invention relates to the technical field of medical instruments, and discloses an additive manufacturing bionic bone trabecula full-porous interbody fusion cage which is applied to spinal fusion surgery and is of a bionic bone trabecula full-porous structure made of medical metal through a laser melting or electron beam melting additive manufacturing technology. The interbody fusion cage comprises a front end face, a rear end face, a first side surface, a second side surface, an upper fusion face and a lower fusion face, the upper fusion face and the lower fusion face make direct contact with a vertebral body end plate of a spine, anti-skid teeth are arranged on the surfaces of the upper fusion face and the lower fusion face, and a bone grafting window penetrating through the upper fusion face and the lower fusion face is formed in the center of the interbody fusion cage. The interbody fusion cage has the structure and mechanical property similar to those of cancellous bone and trabecular bone of a human body, can improve the bone combination area and bone ingrowth space, has excellent initial and long-term stability, and can effectively reduce stress shielding so as to improve the bone fusion capability.

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 embodiment of the invention provides a spine image recognition method and related equipment. The spine image recognition comprises the following steps: acquiring a spine image to be detected, and preprocessing the spine image to be detected to obtain a target spine image; the target spine image is input into a key point recognition model, position information output by the key point recognition model for each section of vertebral body in the target spine image is obtained, and the position information is marked on the target spine image and at least comprises positioning frame information, a vertebral body name and angular point coordinates; the key point identification model comprises a CBAM module; correcting and adjusting the position information to obtain corrected position information; and performing intervertebral disc positioning and vertebra identification according to the corrected position information. According to the technical scheme, the improved key point recognition model is adopted, the positioning frame, the cone name and the angular point coordinates are directly output without depending on a segmentation model, the process is simplified, and the detection speed and robustness are improved.

The embodiment of the invention is suitable for the technical field of computer-aided medical treatment and image processing, and provides an automatic planning device and equipment for a pedicle screw and a computer program product. Extracting vertebral body outer layer point cloud data of a to-be-planned single vertebral body from the spine image data; the prediction model is used for processing the centrum outer layer point cloud data and outputting prediction coordinates, and the prediction coordinates comprise entry point coordinates and exit point coordinates; and the planning unit is used for planning the placement position of the pedicle screw based on the entry point coordinate and the exit point coordinate. By adopting the device, the planned position of the pedicle screw can be quickly and accurately predicted by using the deep learning model based on the point cloud data of the outer layer of the vertebral body, the data volume needing to be processed in the planning process is reduced, and the planning efficiency is improved.

A vertebral body replacement system having a quick-connecting removable endplate connection mechanism.

The invention provides a cortical bone screw automatic planning method and device based on a statistical morphology model. The method comprises the following steps: acquiring CT image data of any object; based on the CT image data, segmenting point cloud information of a vertebral body to be subjected to screw placement; acquiring a statistical shape model and cortical bone screw planning information corresponding to the serial number; and registering the statistical shape model to the point cloud information, and determining a cortical bone screw plan of the vertebral body to be subjected to screw placement. In the application, the preset screw placement planning of the cortical bone screw is performed through the statistical shape model, and the preset screw placement planning is mapped to the current spinal column three-dimensional model through registration, so that the preset screw placement planning only needs to be performed on the statistical shape model, and a screw placement model is not needed, thereby solving the problem that a large number of cases need to be collected to realize the screw placement model; therefore, the problem of nail placement of the cortical bone can be solved.

The invention specifically discloses an automatic generation method for a cervical vertebra disease rehabilitation prescription, and the method comprises the steps: constructing a cervical vertebra image feature automatic measurement system based on computer vision and deep learning, so as to monitor the training motion quality of a patient in real time, and obtaining the kinematics parameters of rehabilitation exercise training; acquiring a medical image and clinical data of a patient, and standardizing the medical image to construct a standard space of a multi-modal medical image; performing automatic segmentation and anatomical structure calibration on a vertebral body-intervertebral disc based on the standard space to obtain fusion image features; and constructing a multi-modal hierarchical decision model fusing the image features, the kinematics parameters and the clinical data to carry out quantitative analysis on pathological feature parameters, and outputting a standardized illness state assessment result conforming to international clinical guidelines. The dynamic optimization of the treatment scheme can be realized through a feedback mechanism, and the treatment effect is improved.

A system and method for planning and simulating a surgical operation to create a patient-specific spinal implant are disclosed. The system comprises a remote server configured to receive patient-specific medical image data and generate a 3D mesh model of the patient's spine using algorithms that separate vertebral bodies, remove artifacts, and smooth surfaces. A doctor's computer receives the 3D mesh model and allows real-time manipulation of intervertebral spaces to achieve a desired spinal curvature. The server generates a spinal implant design with surface-mapped endplates matching the patient's vertebral anatomy, which is transmitted to a 3D printer for manufacturing. The method includes steps of receiving image data, generating and updating the 3D mesh model based on doctor input, generating the final implant design, and transmitting it for production. The invention enables the creation of patient-specific spinal implants with improved conformity and surgical outcomes.

The invention discloses an image recognition system for constructing osteoporotic vertebral fracture healing based on artificial intelligence, and particularly relates to the technical field of orthopedic treatment, which comprises a data preprocessing module for extracting and optimizing data from an original medical image. According to the method, the advantage of discipline crossing is developed, a recognition system on medical imaging is developed based on deep learning, the advantage that the recognition system can discover detail features and hidden rules which cannot be found by human beings is utilized, and then a large amount of structured data is utilized to automatically learn and train visual feature expression of abstract data, so that the clinical missed diagnosis rate is reduced, and the clinical diagnosis efficiency is improved. The artificial intelligence architecture is trained by a rigorous and scientific means, so that the artificial intelligence architecture has clinical experience and knowledge of high-age dominant doctors and is popularized in local hospitals to achieve an auxiliary diagnosis effect, the difference of medical differentiation is reduced, the technical and experience defects of local medical personnel are made up, and the technical and experience defects of the local medical personnel are overcome. The aim of improving the definite diagnosis rate of diseases and reducing the missed diagnosis rate is one of the purposes of the invention.

The embodiments provide various interbody fusion spacers, or cages, for insertion between adjacent vertebrae. The cages may have integrated ratchet assemblies that allow the cage to change size and angle as needed, with little effort. The cages may have a first, insertion configuration characterized by a reduced size to facilitate insertion through a narrow access passage and into the intervertebral space. The cages may be inserted in a first, reduced size and then expanded to a second, larger size once implanted. In their second configuration, the cages are able to maintain the proper disc height and stabilize the spine by restoring sagittal balance and alignment. Additionally, the intervertebral cages are configured to be able to adjust the angle of lordosis, and can accommodate larger lordotic angles in their second, expanded configuration. Further, these cages may promote fusion to further enhance spine stability by immobilizing the adjacent vertebral bodies.

Intervertebral spacer implants with dynamic load spreading features responsive to external loads and having attachment mechanisms. The dynamic load spreading features having a native state and a loaded state, which complements vertebral end plate geometry and disperses load to the epiphyseal rim.

The invention provides a spine centrum compression fracture recognition method and system based on artificial intelligence, and the method comprises the steps: receiving original spine CT sequence data, and outputting a preprocessed standardized image; inputting the preprocessed image into a three-dimensional U-Net + + network to obtain a centrum segmentation probability graph; outputting the segmented centrum set and the position code thereof; for each segmented centrum, extracting a corresponding area based on a centrum mask, and splicing all features to form a comprehensive feature vector of each centrum; inputting the three-dimensional image block of each vertebral body into an image flow network to extract visual semantic features; and automatically generating a structured PDF report. According to the spine centrum compression fracture recognition method and system based on artificial intelligence, the problem of image quality difference caused by different CT devices and scanning parameters is effectively solved through the multi-scale residual enhancement technology and self-adaptive window level adjustment, and standardized processing of images is achieved.

An expandable interbody with a modular endplate has an outer column, an inner column threadedly coupled and translatable relative to the outer column along the longitudinal axis, and an expansion ring to adjust a body length of the expandable interbody. The expansion ring has a plurality of teeth, and the outer column has at least one arm for engaging a tooth of the plurality of teeth to lock the expansion ring. The inner column and / or outer column can include a connector for connection to a modular endplate that has a substantially hollow core. The modular endplate includes a plate with a set screw entrapped therein. The modular endplate has an aperture to receive the connector of the inner and / or outer column.

The invention discloses a CT-based osteoporosis intelligent diagnosis method and system, and relates to the technical field of medical image diagnosis, and the method comprises the steps: carrying out the positioning of a lumbar region in an abdomen or thoracic and abdominal CT image through a deep learning model; digitally modeling the shape and the internal structure of the vertebral body; and automatic diagnosis of osteoporosis is completed. According to the method, full-automatic positioning, accurate segmentation and intelligent diagnosis of osteoporosis of the lumbar region in a conventional abdomen or thoracic and abdominal CT image are realized, the accuracy and efficiency of diagnosis are remarkably improved, and the problems of strong subjectivity and poor repeatability caused by dependence on manual sketching or simple threshold segmentation in a traditional method are solved; the method can be directly operated based on clinical conventional CT data, is beneficial to large-scale osteoporosis screening and early intervention, and has remarkable clinical popularization significance and technical progress value.

The invention provides a spine Cobb angle prediction method based on centrum segmentation. The spine Cobb angle prediction method comprises the following steps: acquiring an X-ray image of a spine to be measured; inputting the X-ray image into an encoder to obtain a feature map of the X-ray image; inputting the feature map into a spine decoder to obtain a spine segmentation mask; inputting the feature map into a vertebra decoder to obtain a vertebra segmentation mask; performing center line prediction according to the spine segmentation mask to obtain center line representation of the spine; performing feature extraction according to the vertebra segmentation mask to obtain a target feature vector; the target feature vector is used for representing the form and structure information of each vertebra; and according to the center line representation and the target feature vector, predicting to obtain a target Cobb angle corresponding to the X-ray image of the spine to be measured. According to the method, the overhigh dependence on data quality can be reduced, the prediction capability under various image qualities is improved, the time consumption of manual operation is reduced, the accuracy is improved, and the robustness and interpretability of Cobb angle prediction are enhanced.

Pedicle-based intradiscal fixation devices, systems, instruments, and methods thereof. The implant or a portion thereof may be composed of a shape-memory material, which has a curved shape-memory orientation and a temporarily straight orientation. The implant may be configured to be inserted into a pedicle of an inferior vertebra, through the vertebral body of the inferior vertebra, and into the vertebral body of the superior vertebra to thereby stabilize the inferior and superior vertebrae.

The invention provides a multi-parameter feature fused vertebral CT image standardization preprocessing method and system. The method comprises the following steps: carrying out initial segmentation on an input original vertebral CT image; carrying out enhancement processing on the image by adopting an anisotropic diffusion filtering algorithm of multi-scale structure perception; establishing a tissue specificity density mapping model of multi-parameter fusion; adopting a self-adaptive segmentation histogram mapping method to map gray distribution of an original image to a standard template; and constructing a rigid-elastic mixed registration model. According to the invention, a complete quality evaluation system is established, the processing quality can be automatically detected and reported, and the reliability of an output result is ensured. By introducing a patient individualized correction mechanism, individual difference information is fully reserved while the standardization effect is ensured, and diagnosis information loss caused by excessive standardization is avoided. The multi-parameter fusion strategy ensures complete reservation of bone tissue density, texture and structure information.

The present technology includes patient-specific spinal fusion devices, which may include an interbody implant that is designed to be positioned within a disc space between two vertebral bodies and one or more fixation elements that can anchor the interbody implant to the vertebral bodies. The fusion devices include one or more retention mechanisms for retaining the fixation elements within corresponding lumens or bore holes extending through the interbody implant. Methods for designing and manufacturing patient-specific spinal fusion devices are also described herein.

The invention relates to the field of medical imaging analysis, and discloses a bone trabecula feature construction method and system, and the method comprises the steps: preferentially extracting a fragile region from an obtained vertebral image sequence, and generating an initial feature set representing the stability of a fine-grained structure; performing coherence comparison on the initial feature set in a cross-slice dimension to obtain a composite feature vector capable of reflecting the vulnerability level of the structure; based on the composite feature vector, a connectivity change curve of the bone trabecula in a loading environment is extracted by adopting a multi-layer progressive clustering mode, and candidate bone trabecula units with potential micro-damage trends are marked; classifying the candidate bone trabecula units according to risk gradients, and reconstructing a bone trabecula local topology network with weight levels; and according to the local topology network, identifying high-risk nodes showing an imbalance tendency in a specific mechanical simulation period, and generating a feature construction path finally used for micro-fracture risk prediction. The method has the advantage of improving the micro-fracture risk prediction sensitivity.

The invention relates to the technical field of bone implants for minimally invasive surgery, and particularly discloses an implant for percutaneous minimally invasive thoracolumbar vertebral fracture, which comprises a vertebral body forming body, the vertebral body forming body comprises a vertebral body forming body head and a plurality of blade parts arranged at the rear end of the vertebral body forming body head in a surrounding manner, the vertebral body forming body head is provided with a needle guide hole penetrating along the axial direction, and the needle guide hole is communicated with the blade parts; a containing cavity is defined by the blade parts; the front end of the threaded guide rod and the head of the cone forming body are integrally formed, the needle guide hole penetrates through the threaded guide rod in the axial direction, and the rear end of the threaded guide rod extends out of the containing cavity; the pedicle screw is provided with a threaded hole penetrating in the axial direction, the threaded hole is in threaded connection with the threaded guide rod, the pedicle screw comprises a screw head and a threaded part arranged at the rear end of the screw head, and the screw head is arranged in the containing cavity and expands the blade part. According to the implant for the percutaneous minimally invasive thoracolumbar vertebral fracture, surgical wounds are reduced, the vertebral restoration effect is good, the stability of a vertebral formed body is guaranteed, and the surgical time can be saved.

The utility model discloses a 3D printing porous pedicle screw which comprises a screw body part and a screw cap part, the screw body part comprises a cortical bone thread area close to one end of the screw cap part and a cancellous bone thread area far away from one end of the screw cap part, and a porous structure area is arranged at one end, not connected with the screw cap part, of the screw body part. The porous structure area comprises an inner core column extending in the axial direction of the nail body part, at least one reinforcing beam and a porous structure, the reinforcing beams extend outwards from the periphery of the inner core column, and the porous structure is annularly distributed on the outer periphery of the inner core column. The porous structure can efficiently induce bone tissue to grow in, the screw and a vertebral body are connected into a whole, stress is effectively dispersed, the stability of the screw is improved, the porous structure is arranged on the vertebral body at the front end of the screw, screw breakage caused by stress concentration of the screw in a vertebral pedicle area can be avoided, meanwhile, the stability of the screw can be better improved through the reinforcing beam, and the service life of the screw is prolonged. The possibility of fracture of a porous area of the screw is reduced, generalization performance is better, and the use experience feeling is improved.

This invention relates to a treatment device suitable for combined operative procedure of vertebroplasty and pediculoplasty. A treatment device includes a cylindrical driver capable of driving a screw into bone, an inner sleeve capable of being inserted into the driver, and a guide pin capable of being inserted into the inner sleeve, and is configured as follows. The screw includes on an outer wall (outer circumference) a thread that can tap into bone or cement, and a through hole that allows the inner sleeve to pass from a head to a tip. The driver can fit onto the head of the screw and when moved along the central axis and be joined to the screw, so as to transmit torque about the central axis to the screw. The inner sleeve includes a notch which protrudes, when the inner sleeve is inserted from the distal end of the driver in a state in which the screw and the driver are joined together, protrudes more proximally than a tip of the screw, preventing removal of the screw.

Minimally-invasive spinal surgery methods, devices, and systems for advancing a spinal implant through an oblique anterolateral retroperitoneal operative corridor to an intervertebral disc space located between the L5 and S1 vertebral bodies of a subject positioned in a lateral decubitus position are described. An example spinal implant system includes a retractor sized and shaped to establish at least a portion of the oblique anterolateral retroperitoneal operative corridor, a spinal implant sized and shaped to pass between the first and second unitary retractor blades of the retractor in connection with the spinal implant being introduced into the intervertebral disc space via the oblique anterolateral retroperitoneal operative corridor, and an introducer instrument configured to pass between the first and second unitary retractor blades of the retractor in connection with the introducer instrument introducing the spinal implant into the intervertebral disc space via the oblique anterolateral retroperitoneal operative corridor.

The invention discloses an image processing method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining to-be-processed three-dimensional medical image data, carrying out the spinal segmentation of a spinal region in the three-dimensional medical image data, and obtaining vertebral mask data; and performing cone identification processing on the cone mask data to obtain a target end cone mask corresponding to the Cobb angle, constructing a space vector model for the target end cone based on the target end cone mask, and determining a Cobb angle value for the target end cone based on the space vector model. According to the method, the Cobb angle is calculated by introducing space vector modeling, so that the measurement error of measurement of the Cobb angle can be remarkably reduced, and the accuracy of measurement of the Cobb angle is improved.

The invention provides a centrum bone mineral density automatic measurement method, device and equipment and a storage medium, and the method comprises the steps: carrying out the preprocessing of centrum CT data, and carrying out the analysis through a deep learning model, and obtaining the space coordinate information of centrum key points; determining an axial reference line according to the centrum key points and constructing a region of interest of a front region; based on the space coordinate information of the centrum key points, calculating spine morphological characteristics of the centrum, and adjusting the position and direction of the centrum region of interest according to the spine morphological characteristics; and extracting CT values of all voxels in the adjusted region of interest, and calculating an average value of the CT values of all voxels to obtain a vertebral bone mineral density measurement result. According to the method, automatic and accurate measurement of the vertebral bone mineral density is achieved, the technical problems that a traditional method is low in automation degree and cannot accurately adapt to spine morphological changes are solved, and the accuracy and consistency of bone mineral density measurement are improved.

The invention relates to a preparation method and medical application of a porous tantalum material based on an extremely small curved surface structure. The porous tantalum material is particularly applied to medical implants such as an interbody fusion cage, an artificial vertebral body, a hip joint acetabular cup, a joint filling block and a dental implant. The material is pure tantalum or tantalum-containing alloy (such as tantalum-titanium, tantalum-niobium, tantalum-zirconium, tantalum-titanium-niobium-zirconium, and the tantalum content is greater than 1%), the material is constructed by adopting an additive manufacturing technology, the porosity is 30-90%, compared with a truss pore channel structure (such as a rhombic dodecahedron), no obvious stress concentration point exists, the strength, the modulus, the anti-fatigue performance and the like are remarkably improved, and the application prospect is wide. The method is particularly suitable for structural and functional reconstruction of large-area and load-bearing bone defects.