37 results about "Spinal model" patented technology

The invention relates to the technical field of motion capture and data processing, in particular to a method for realizing real-time dynamic capture of a three-dimensional space of a human spine by applying an IMU (Inertial Measurement Unit). According to the method, a personalized three-dimensional dynamic spine model is constructed based on CT image data of a user, and a mathematical model of the spine is established by fusing a physiological anatomical structure of the spine and a robot mechanism motion theory so as to accurately describe motion characteristics of the spine. An IMU (inertial measurement unit) sensor is adhered to a key part of the back of a user, an individualized spine model is driven by acquiring and processing IMU data in real time, real-time reconstruction of dynamic movement of the spine is realized, and space angles among vertebral sections of the spine are accurately calculated. The dynamic change of the spine in the movement process can be accurately captured, the movement posture of the spine can be deeply analyzed, and the movement effect of the spine can be accurately and visually tracked and quantified in real time.

The invention relates to a method for screening foot spine deformity of children and adolescents based on artificial intelligence and computer vision technologies. The method comprises the following steps: firstly, acquiring foot three-dimensional data of children and teenagers, and constructing a three-dimensional foot spine model based on the data; thirdly, processing the data of the three-dimensional foot spine model to obtain key geometric features; and calculating a malformation index by using a specific formula according to the characteristics, comparing the malformation index with a normal parameter threshold range, and marking the characteristic value as a potential malformation characteristic value if the threshold value is exceeded. And then, inputting the potential malformation characteristic value into a three-dimensional convolutional neural network to obtain a malformation type classification label. And generating a deformity degree score value by means of a clustering algorithm according to the label. And finally, inputting the score value into a trained three-dimensional foot ridge model to obtain a foot suggestion report comprising targeted suggestions. According to the method, the potential features of the foot spine deformity can be identified more accurately, the screening accuracy is greatly improved, the screening efficiency is effectively improved, and a personalized correction scheme can be formulated.

The invention discloses a scoliosis correction brace and a control method, and relates to the field of medical instruments.The scoliosis correction brace comprises a brace body, a first massage device and a second massage device, the brace body is obtained through 3D printing according to a patient spine model, and the first massage device and the second massage device are arranged on the brace body; the brace body is provided with a central area corresponding to the spine of a patient, a first correction area corresponding to the convex side of the spine of the patient and a second correction area corresponding to the concave side of the spine of the patient, the first correction area is provided with a first massage area, and the second correction area is provided with a second massage area. The first massage device is arranged in the first massage area, and the second massage device is arranged in the second massage area. The control method is used for controlling the scoliosis correction brace. By the adoption of the spine correcting device, the convex side and the concave side of the spine can be massaged and stimulated, functional recovery of spine bones is accelerated, and the correcting effect can be remarkably improved.

The invention relates to the technical field of medical positioning, in particular to a spine surgery positioning intelligent guiding system which comprises an image obtaining and processing module, an operation plan and display module, a quantum dot self-adaptive navigation module, a positioning guiding module and a feedback and adjustment module. The image acquisition and processing module is used for acquiring spine image data of a patient and generating a spine three-dimensional model; the operation plan and display module formulates an operation plan based on the spine three-dimensional model; the quantum dot self-adaptive navigation module provides a real-time image and carries out positioning and navigation on a surgical instrument; the positioning and guiding module monitors and guides the position and angle of the surgical instrument in real time; and the feedback and adjustment module feeds back the position and the operation state of the surgical instrument in real time. According to the invention, a clearer real-time image with a higher contrast ratio is provided, so that the accuracy and safety of surgical operation are improved.

The invention relates to a spine three-dimensional reconstruction network implementation method and system based on a biplane X-ray image, and aims to accurately and efficiently reconstruct a three-dimensional spine model with a smooth surface from a low-dose X-ray image by combining a deep convolutional neural network and differentiable parameterized surface representation. The method comprises the following steps: firstly, preprocessing an input biplane X-ray image, and fusing the biplane X-ray image into a multi-channel three-dimensional volume representation; then, inputting the three-dimensional volume into a neural network based on a 3D U-Net architecture, and training by adopting a space weighted loss function to output a three-dimensional voxel probability field with an accurate boundary; then, a group of BG-Triple parameterized surface primitives are initialized based on the probability field; and finally, through a geometric loss function containing Chamfer distance and normal consistency, iterative optimization is directly carried out on the geometric control point of the BG-Triangle, so that a vectorized smooth three-dimensional spine model is obtained. According to the invention, accurate mapping from the voxel probability field to the smooth geometric grid is realized.

The invention discloses a patient-specific finite element model-based vertebroplasty optimization method and a related device. The method comprises the following steps of: constructing a patient-specific three-dimensional spine model according to a vertebral bone structure and a vertebral soft tissue structure; discretizing the patient-specific three-dimensional spine model into tetrahedral finite element grids, endowing each finite element unit with bone material attributes according to pixel values of CT scanning images, and endowing intervertebral disc and ligament soft tissue structures with soft tissue material attributes; determining an optimal bone cement injection path and an optimal bone cement injection amount of the tetrahedral finite element mesh; and simulating the vertebroplasty in the tetrahedral finite element mesh, predicting the stress distribution of the vertebrae, the rigidity of the vertebrae and the stress change of the adjacent vertebrae after the operation, and presenting the simulation result of the simulated vertebroplasty in a three-dimensional visual form. According to the method, personalized optimization and prediction of preoperative simulation of the vertebroplasty are realized by constructing the patient-specific finite element model, and an efficient auxiliary reference operation scheme is provided for an operator.

The present application relates to a model spine positioning device for anesthesia practice, and relates to the technical field of medical anesthesia practice equipment, which includes an operating table, a clamping plate 1, a clamping plate 2, a spinal body, a clamping assembly, a disassembly assembly and an adjustment assembly, wherein the clamping plate 1 is rotatably connected to the operating table through a bracket; the clamping plate 2 is arranged opposite to the clamping plate 1, and the clamping plate 2 is rotatably connected to the operating table; there are multiple spinal bodies, and the multiple spinal bodies are arranged around the axis direction of the clamping plate 1, and the two ends of the spinal body are respectively connected to the clamping plate 1 and the clamping plate 2; there are two groups of clamping assemblies, and the two groups of clamping assemblies are respectively located on the clamping plate 1 and the clamping plate 2, and are used to quickly fix and disassemble the spinal body; the disassembly assembly is arranged on the clamping plate 2, and is used to adjust the distance between the clamping plate 1 and the clamping plate 2; the adjustment assembly is arranged on the clamping plate 2, and is used to select different spinal bodies. The present application has the effect of improving the efficiency of spinal model replacement.

The invention relates to a spine dynamic diagnosis and reset guiding system and method based on an intelligent 3D palpation membrane, and belongs to the technical field of medical diagnosis and treatment. The system mainly comprises a flexible palpation membrane, a data processing and intelligent diagnosis module and an interactive reset guide module. The flexible palpation membrane covers areas from C1 to S1 of the spine, and a high-density pressure sensor array is arranged in the flexible palpation membrane and is used for collecting palpation pressure data in real time; the data processing module receives the data, constructs a real-time 3D spine model through an AI algorithm, and recognizes the deviation, rotation and other abnormalities of a vertebral body. And the guide module displays reset guide information through a spine reset program interaction interface, and dynamically calibrates an operation path according to real-time feedback data of the palpation membrane to form closed-loop control. The problems that traditional spinal manipulation treatment depends on experience, cannot be quantized and lacks real-time guidance are solved, and precision, visualization and standardization of diagnosis and resetting are achieved.

The invention discloses a personalized human body spine model generation method, and relates to the technical field of biomedical engineering.The method comprises the steps that a spine image is obtained through high-resolution CT scanning, and a preliminary three-dimensional model is reconstructed through noise reduction, normalization, contrast enhancement and segmentation; a standard template is constructed based on multiple healthy human body data, and preliminary matching is realized through translation, rotation and zooming; performing local flexible deformation on the template by adopting a radial basis function interpolator, performing fine fitting in cooperation with regularization parameters and iterative optimization, and constructing a statistical shape model by utilizing principal component analysis and multiple regression to realize clinical parameter and morphological change mapping; according to the method, the high-precision personalized spine model can be generated, and the requirements of clinical diagnosis, surgical planning and customized implant design are met.

The application relates to a spine dynamic diagnosis and reduction guiding system and method based on an intelligent 3D palpation film, and belongs to the technical field of medical diagnosis and treatment. The system mainly comprises a flexible palpation film, a data processing and intelligent diagnosis module and an interactive reduction guiding module. The flexible palpation film covers the C1 to S1 region of the spine, is internally provided with a high-density pressure sensor array, and is used for collecting palpation pressure data in real time; the data processing module receives data and constructs a real-time 3D spine model through an AI algorithm, and identifies abnormalities such as vertebral body deviation and rotation; and the guiding module displays reduction guiding information through a spine reduction program interactive interface, and dynamically calibrates an operation path according to real-time feedback data of the palpation film, so that closed-loop control is formed. The application solves the problems that traditional spine manual treatment relies on experience, cannot be quantified and lacks real-time guidance, and realizes the precision, visualization and standardization of diagnosis and reduction.

The invention relates to the technical field of operation planning navigation systems, in particular to a spinal operation intelligent planning and intraoperative navigation system which comprises a data input module, a spinal model building module, an operation planning module, a dynamic deformation tracking module, a navigation control module and a data output module. A spine is represented as a differential manifold through a manifold parameterization unit, a local coordinate construction unit is utilized to establish a multi-local coordinate system, a deformation field calculation unit calculates a spine deformation field based on optical mark point displacement, a deformation prediction unit generates a prediction deformation field, and a compensation parameter generation unit generates navigation compensation parameters. The system also comprises an operation path mathematical optimization algorithm and a scheme sharing mechanism based on a two-dimensional code, and is provided with a fault-tolerant processing module to ensure the stability of the system. According to the system, the navigation precision is improved from the traditional millimeter level to the submillimeter level, the accuracy and safety of spinal surgery are remarkably improved, and the system has wide clinical application prospects.

The invention discloses a wearable spine monitoring system. The system comprises a wearable module and a monitoring module, the wearable module is used for recording posture data of the spine; the monitoring module is used for receiving the posture data and displaying the posture of the spine of the human body in real time. The wearable part comprises a data collector, a node module and a communication line; the data collector collects data of the plurality of node modules, stores the data to the local, and completes data transmission with a computer and a mobile phone through wireless communication; and the monitoring software runs on a computer or a mobile phone and binds the spine postures of the node modules uploaded by the data acquisition unit with the spine model so as to realize dynamic monitoring of the spine state of the human body.

Disclosed are systems and methods for rapid generation of simulations of a patient's spinal morphology that enable pre-operative viewing of a patient's condition and to assist surgeons in determining the best corrective procedure and with any of the selection, augmentation or manufacture of spinal devices based on the patient specific simulated condition. The simulation is generated by morphing a generic spine model with a three-dimensional curve representation of the patient's particular spinal morphology derived from existing images of the patient's condition. Other anatomical structures in the patient's skeletal system are likewise simulated by morphing a generic normal skeletal model, as applicable, particularly those skeletal entities that are connected directly or indirectly to the spinal column.

The present application belongs to the technical field of human body image digital information processing, and provides a spine generation method and device based on 3D human body scanning. The method comprises the following steps: fitting a three-dimensional reconstruction model according to a basic digital human model to obtain a fitted digital human model; calculating a body shape parameter used in the fitting of the fitted digital human model; performing regression processing on a preset basic spine model using the body shape parameter to obtain a preliminary spine model matched with the size of the skeleton of the three-dimensional reconstruction model; performing deformation processing on the basic digital human model using the body shape parameter to obtain a digital human model deformed using the body shape parameter; matching the position of the skeleton of the preliminary spine model with the digital human model deformed using the body shape parameter to generate a spine model matched with the spine of the three-dimensional reconstruction model. Thus, the accuracy, efficiency and cost of spine judgment are improved, and the popularization and application of spine judgment are promoted.

The invention discloses a spine 3D model reconstruction method based on multi-scale symmetric architecture learning. The method comprises the following steps: rotating a spine X-ray image to a set angle; repeating the rotated X-ray images for D times and splicing the X-ray images to form a high-channel 3D volume; inputting the high-channel 3D volume into a generative adversarial network to obtain a 3D prediction model of the spine; standard deviations of different generated images of the 3D prediction model are calculated to evaluate quality differences of the generated images, and a generator is selected to globally optimize or locally optimize the 3D prediction model based on the quality differences; the 3D prediction model obtains a reconstruction model of the spine by minimizing the loss of the generator. According to the invention, the problem of low fidelity caused by excessive dependence on prior information in the existing method for reconstructing the three-dimensional structure of the spine in X-Ray is solved.

The invention discloses a multi-modal fusion spinal region puncture positioning method and system based on deep learning. The method comprises the following steps: acquiring a spine image containing a puncture part, and inputting the spine image into a trained image segmentation model to obtain an image segmentation result; inputting an image segmentation result into a trained target recognition model for target recognition to obtain target region information; obtaining two-dimensional slice data based on the spine image, converting each pixel point of the two-dimensional slice data into a three-dimensional voxel, and extracting a surface geometric model to obtain a three-dimensional reconstruction model; performing information enhancement and alignment on the model and a real-time ultrasonic sequence through a specific structure to generate a high-fidelity enhanced real-time spine model image; based on the real-time model, the optimal puncture path, angle and depth are intelligently recommended in combination with a preset puncture type. The method can accurately provide a puncture point and recommend a puncture path, improves the success rate of intraspinal puncture of a complex patient, and reduces the probability of occurrence of adverse events.

The application discloses a spine 3D model reconstruction method based on a multi-scale symmetric architecture learning, comprising the following steps: rotating a spine X-ray image to a set angle; repeating the rotated X-ray image D times and splicing to form a high-channel 3D volume; inputting the high-channel 3D volume into a generative adversarial network to obtain a 3D prediction model of the spine; calculating the standard deviation of different generated images of the 3D prediction model to evaluate the quality difference of the generated images, and selecting a global optimization or local optimization 3D prediction model of the generator based on the quality difference; and the 3D prediction model obtains a reconstruction model of the spine by minimizing the loss of the generator. The application solves the problem that the existing method for reconstructing the three-dimensional structure of the spine in the X-ray excessively depends on prior information, thereby reducing the fidelity.

The invention relates to a scoliosis simulation teaching aid and an operation method. The simulation teaching aid comprises a spine model, a gooseneck rod and an outer cover box. The spine model comprises a vertebra model; the gooseneck rod penetrates through each vertebra model according to a spine physiological curve and is fixedly connected with the vertebra models; the outer cover box comprises a cervical vertebra box body, a thoracic vertebra box body, a lumbar vertebra box body and a sacrum box body; each box body comprises a transparent corrugated pipe, a top shell and a bottom shell; the spine model passes through the middle of the top shell and the middle of the bottom shell; the part, penetrating through the top shell and the bottom shell, of the gooseneck rod is fixedly connected with the top shell and the bottom shell respectively; the lower end of the transparent corrugated pipe is connected with the bottom shell edge, and the upper end is detachably connected with the top shell edge corresponding to the bottom shell edge. The vertebra models can be accurately controlled, and normal displacement deflection is carried out; the transparent corrugated pipe can reflect the trend of in-vitro abnormity, and is beneficial for medical students to establish clearer cognition on scoliosis. The operation method is simple and convenient to operate, and can simulate more types of scoliosis conditions.

The invention relates to the technical field of image simulation, in particular to a virtual reality-based spinal operation simulation system, which comprises the following steps of: generating a plurality of spinal models according to the appearance of a spinal column, and recording the initial boundary of each spinal model; placing the spine models in sequence, and generating a corresponding overall model; for the integral model of single simulation, corresponding danger boundaries and operation models are arranged in the corresponding spine models. The spine model which can be destroyed is set, the state in which the spine model can be influenced in the whole simulation state by a single operation is pre-loaded, and a dangerous boundary is set as a training standard, so that the representation of a virtual reality image is effectively improved, the interaction feeling of simulation participants is improved, and the simulation efficiency is improved. Therefore, the interaction performance of the virtual reality system is effectively improved.

An ultrasound training model which exhibits optically clear soft tissue-mimicking materials that are simultaneously acoustically scattering and self-healing to needle punctures. An exemplary embodiment is disclosed that comprises an embedded bone-mimicking spine model and a dual-purpose lid that may be used as a friction surface mat. Various embodiments of the training model materials are disclosed.

The present invention relates to a method for evaluating the performance of a spinal medical device using computer simulation and a computer-readable recording medium having recorded thereon a program for executing same. A 3-dimensional spinal surgery model is constructed by constructing a 3-dimensional spine model and a 3-dimensional spinal medical device model by using a 3-dimensional modeling method to replace performance verification (evaluation) of an existing spinal medical device using a cadaver, and performing a virtual spinal surgery computer simulation process of combining the 3-dimensional spine model and the 3-dimensional spinal medical device model, thereby not only effectively reducing time and costs required for a conventional cadaveric experiment but also contributing to predicting and improving the performance of a spinal medical device which has been developed or is being developed.

The invention relates to a spine three-dimensional imaging and lateral bending angle calculation method based on an AI vision algorithm, and belongs to the technical field of spine form detection. The method comprises the following steps: acquiring back image data, and positioning a plurality of spine key points from a back image by inputting a constructed key point detection model; the spine model is expressed as an energy balance system, then the spine key points are mapped to the spine model, and an energy balance equation of gravity and elastic potential energy is established; iteratively optimizing the energy balance equation by adopting an LM algorithm; three-dimensional coordinates of the gravity center of each cone are calculated through rotation matrix merging; and calculating a Cobb angle according to the obtained three-dimensional coordinates of the gravity center of each cone body. The spine key point is accurately detected through the back image, high-precision reconstruction from two dimensions to three dimensions is realized in combination with the energy balance principle and the optimization algorithm, the clinical Cobb angle is automatically calculated, and the problems of radiation risk, high cost and subjective error of traditional detection are solved.

The invention provides a high-intelligence spine adjuvant therapy system for spine surgery, which belongs to the technical field of spine adjuvant therapy and comprises a lying plate structure, and a two-end tension device, a vertebral column bottom pushing device, a vertebral column real-time scanning detector and a sensing unit are arranged on the lying plate structure. A three-dimensional model is constructed for the spine of a patient, then force applied in real time in the auxiliary treatment process is collected in real time, a scanner is used for scanning the real-time state of the spine, then the real-time state and the three-dimensional model are fused to form a three-dimensional dynamic spine model, and then the spine is determined according to optimal treatment scheme data of a hospital. And real-time optimal auxiliary treatment force can be applied to the three-dimensional dynamic spine model, so that the auxiliary treatment effect is better, and the extrusion position is controlled more accurately.

The invention discloses a 3D-printed scoliosis correction brace and a correction brace manufacturing method, and relates to the field of medical equipment.The 3D-printed scoliosis correction brace comprises a brace body, and the brace body is obtained through 3D printing according to a patient spine model and comprises medicine application areas symmetrically arranged on the two sides of the patient spine respectively; a mounting hole is formed in the medicine applying area, the medicine applying device comprises a shell, the shell is detachably arranged in the mounting hole, a medicine bag is detachably arranged in the shell, a heating mechanism is arranged in the shell, and the heating mechanism can heat the medicine bag. The manufacturing method of the correction brace is used for manufacturing the 3D printed scoliosis correction brace. The spinal scoliosis correcting device can be attached to a complex spinal curve, medicine stimulation is conducted on spinal spinous processes in combination with traditional Chinese medicine application, and the correcting effect of spinal scoliosis is improved.

The application relates to the technical field of spinal surgery, and particularly discloses a spinal surgery robot system, in which a robot body is provided with a mechanical arm; a surgery execution mechanism is arranged at the tail end of the mechanical arm and is used for executing a surgery operation; a scanning mechanism is used for scanning the spine of a patient; a binocular recognition mechanism is used for establishing a coordinate system containing the patient and the robot body; a display trolley is used for receiving scanning information of the scanning mechanism and can establish a three-dimensional spinal model based on the scanning information and display the three-dimensional spinal model; the display trolley can plan a surgery path based on the coordinate system and the three-dimensional spinal model; and the robot body moves the surgery execution mechanism to a surgery position and adjusts the surgery execution mechanism to a surgery angle based on the surgery path. The above arrangement ensures the accuracy of the surgery position and the surgery angle, reduces the labor intensity of medical staff in traditional surgery, reduces the surgery risk, and improves the surgery success rate and the surgery efficiency.

This invention provides a method and system for testing the positioning accuracy of a surgical robot system, comprising the following steps: Model fixing step: fixing a spinal model with a channel tube on a test table and importing the scanning data of the spinal model with the channel tube; Surgical planning step: performing surgical planning based on the scanning data of the spinal model with the channel tube to obtain the implantation trajectory; Calculation value acquisition step: according to the implantation trajectory, controlling the robotic arm to move the first test column at the end of the robotic arm to the corresponding position of the second test column in the channel tube, thereby obtaining the calculated value between the first test column and the second test column; Accuracy acquisition step: obtaining the positioning accuracy of the surgical robot system based on the calculated value. This invention no longer uses the single-layer calibration plate or the quantification tooling in the standard, but uses a spinal model instead of tooling, thus resulting in lower cost and higher reliability and accuracy.

A bionic spinal model, including: a base body; an enclosure; a bionic spinal body disposed on the base body and being radiopaque; a simulated muscle layer surrounding the bionic spinal body; and a simulated skin layer overlaying the simulated muscle layer. The bionic spinal body comprises an internal cavity and a bionic nerve body; the bionic nerve body is disposed in the internal cavity; and the bionic nerve body comprises a proximity-sensitive warning mechanism. The model successfully simulates key aspects of real spinal surgery, including X-ray imaging, internal anatomical structures, a surgical fluid environment, and neural proximity feedback, providing a realistic training platform to improve endoscopic spinal surgical skills.

The invention provides a training method and device of a lightweight multi-mode spine model with centrum segment perception, a terminal, a medium and an analysis method. According to the invention, low-cost localization deployment is realized by constructing the lightweight multi-mode architecture. Meanwhile, through specific data input and a progressive three-stage training strategy, a lightweight model with the spine specialized ability is constructed and trained, and then a more accurate spine image analysis result is obtained.

The present invention proposes a method and system for 3D modeling of the spine. First, the body tracking function of the Azure Kinect sensor is initialized in Unity software to capture joint coordinate data, and the bone length constraint method and unscented Kalman filter method are used to process the data to generate control points. Catmull-Rom spline interpolation is then used to obtain a fitted spinal curve. Secondly, a universal 3D spinal model is established in the scene and aligned to the fitted spinal curve to obtain a personalized 3D spinal model that is updated in real time. Finally, the Cobb angle in the coronal plane and the thoracic kyphosis angle and lumbar lordosis angle in the sagittal plane are automatically calculated based on the curvature analysis algorithm of the fitted spinal line. The advantages of the present invention are that the 3D spinal model can be visualized in real time and the spinal angle parameters can be accurately evaluated. There is no ionizing radiation, low cost, and it is convenient and easy to deploy. It is suitable for scoliosis screening and spinal rehabilitation training evaluation.

The utility model relates to a spine model, in particular to an informatization scoliosis model which comprises a base, a spine module is arranged on the base, a movable groove is formed in the upper surface of the base, the spine module is installed in the movable groove in a sliding mode, the spine module is composed of a plurality of spine templates, and a supporting frame is fixedly installed on one side of the spine module. The supporting frame is fixedly installed on the supporting plate, the other end of the supporting frame is fixedly connected with one end of the spine module, and the supporting frame is used for providing lateral bending degree contrast for the spine module. The lateral bending degree of the upper spine template and the lower spine template in the front-back direction can be adjusted by adjusting the position of a sliding rod in a first sliding groove in a sliding mode through a lateral bending adjusting piece; the lateral bending degree of the upper spine template and the lower spine template in the left-right direction can be adjusted by adjusting the positions of the sliding rods in the second sliding grooves in a sliding mode, the scoliosis state can be simulated more completely, and meanwhile the stability of the sliding rods in the spine templates can be guaranteed through magnetic attraction cooperation of the magnetic blocks and the iron bars.