37 results about "Corpus vertebrae" patented technology

The invention belongs to the technical field of medical image processing, and particularly relates to an automatic positioning and typing method for cervical posterior longitudinal ligament ossification, which is characterized in that ossification focus spatial distribution characteristics of CT images and spinal cord morphological parameters of MRI images are synchronously analyzed based on CT and MRI images, a vertebral body-ossification-spinal cord spatial relationship is explicitly modeled through anatomical structure topological constraint, and a cervical vertebra-ossification-spinal cord spatial relationship is obtained. Diffuse calcification artifacts, heterogeneity signal interference and multi-modal data registration deviation are overcome, accurate positioning and typing diagnosis of the ossification are achieved, multi-dimensional feature fusion analysis is achieved, the limitation of traditional single iconography index diagnosis is broken through, space continuity and clinical parameters are integrated through a hybrid classifier, and the accuracy of diagnosis is improved. The accuracy and robustness of typing judgment are improved, a structured diagnosis report is automatically generated in the whole process, and the clinical decision-making efficiency and the standardization level are remarkably improved; the principle is scientific and reliable, and the ossification continuity index, the spinal canal invasion rate and the spinal cord compression grading parameters are automatically calculated according to the typing standard.

The invention belongs to the technical field of image processing, and relates to an automatic scoliosis parameter measurement method based on X-ray film key point detection, which is characterized in that a key point thermodynamic diagram and an offset diagram of a spine centrum are predicted at the same time based on a multi-task deep learning network, and bilaterally symmetric feature information of a spine structure is captured in a priori explicit manner by using a symmetric offset distance. The centrum center point is accurately recognized, correct pairing of centrum angular points is completed, various abnormal detection conditions such as missing points, redundant points and outliers can be effectively solved, the accuracy of centrum key point detection is guaranteed, full-automatic measurement of scoliosis core parameters such as Cobb angular parameters is achieved according to clinical measurement criteria, the calculation complexity is low, the real-time performance is high, and the method is suitable for large-scale popularization and application. And a foundation is laid for subsequent intelligent diagnosis and treatment of spinal diseases.

The invention relates to the field of medical image processing, and discloses a spine key point detection and morphological parameter calculation method and system based on a double-view-angle X-ray image. The method comprises the following steps of: acquiring positive and lateral X-ray image data and preprocessing the positive and lateral X-ray image data; constructing a key point detection model, wherein the key point detection model comprises a dual-view feature extraction backbone network, a positive and side structural feature interaction module and a key point detection decoder; acquiring spine key point coordinates through the model; fitting a spine center line based on the key point coordinates and obtaining a direction vector; and calculating a plurality of spinal morphological parameters. Wherein the structural feature interaction module is used for converting centrum height-related structural features into an adjacent matrix, and realizing positive and lateral structural feature interaction through a graph convolutional network, so that the structural features acquired at a view angle with relatively high visibility are used for optimizing structural feature learning at a view angle with relatively low visibility. The accuracy of key point positioning and centrum classification is improved, and more robust spinal morphological parameter calculation is realized.

The invention discloses a robot calibration method for spine endoscopic surgery, which comprises the following steps: S1, optical marking points are pasted on the skin or bony structure of a patient, the skin marking is used for fixing a reflective ball by using a medical adhesive tape, the bony marking is percutaneously implanted into a spinous process or crista iliaca through a titanium alloy bone nail, and at least six marking points are needed. According to the method, minimally invasive property and stability are both considered through a double marking strategy, six points cover three vertebral bodies to ensure the integrity of an anatomical range, registration errors caused by breathing / body position changes are reduced, meanwhile, non-rigid registration is combined with a B spline grid (10 mm) to consider calculation efficiency and spine physiological curvature adaptability, high-precision surface reconstruction is achieved through a Marching Cubes algorithm, and the method has the advantages of being high in precision and high in precision. An error suppression mechanism is formed by + / -0.25 mm precision and redundancy measurement (five times of sampling) of the optical tracking system, registration robustness is improved through SVD and ICP double-algorithm complementation, multi-constraint path planning is achieved through an A * algorithm and Monte Carlo simulation, and a 4 mm safety corridor provides a buffer space for instrument errors.

An interbody implant can comprise a cage and a porous structure. The cage can comprise an anterior segment, a medial segment, a posterior segment and a lateral segment contiguously connected to each other to define an interior space. The porous structure can be located in the interior space and can be bounded by the cage. The porous structure can comprise opposed superior and inferior surfaces exposed through the cage, an internal cavity located in an interior of the porous structure, and a plurality of ports connecting the internal cavity to the superior and inferior surfaces. A superior-inferior stiffness of the interbody implant can be defined by the porous structure. The porous structure can be compressed within a patient by movement of the spine to biologically stimulate bone growth in vertebrae adjacent the interbody implant. The implant can be configured for lateral, anterior and posterior insertion at different spine levels.

A magnetic compression anastomosis device comprises a first multipiece internal vertebrae support structure including a first set of magnets attached to an outward-facing side of the first multipiece internal vertebrae support structure; and a second multipiece internal vertebrae support structure including a second set of magnets attached to an outward-facing side of the second multipiece internal vertebrae support structure, wherein the first and second multipiece internal vertebrae support structures are attached together in a sandwich configuration with an inward-facing side of the first multipiece internal vertebrae support structure facing an inward-facing side of the second multipiece internal vertebrae support structure and the magnets on the outward-facing sides of the magnetic compression anastomosis device.

The invention discloses a spine minimally invasive combined type interbody fusion cage and an interbody fixing device.The spine minimally invasive combined type interbody fusion cage comprises an interbody fusion cage body, the interbody fusion cage body is arranged in a fan shape, a distance adjusting supporting structure is arranged on one side of the interbody fusion cage body, and the distance adjusting supporting structure is arranged on the other side of the interbody fusion cage body. The interbody fusion cage body comprises a fusion cage supporting base, a fan-shaped containing plane groove is formed in the upper surface of the fusion cage supporting base, distance adjusting supporting plates consistent in shape and size are placed on the inner side of the containing plane groove, and two symmetrical penetrating jacking grooves are formed in the positions, located at the bottom of the containing plane groove, of the fusion cage supporting base. The interbody fusion cage and the interbody fixing device are combined and fixed, so that after bone paste is injected, the whole interbody fusion cage is fixed to the interbody fixing device, the interbody fusion cage is more stable to use and not prone to deviation, the jacking height of the interbody fusion cage can be accurately adjusted, and adaptability is higher.

The invention provides a lumbar vertebra screw placement navigation positioning system and method based on a 3D printing guide plate, and relates to the technical field of medical surgical navigation. The lumbar vertebra image is preprocessed; constructing a centrum recognition model based on the convolutional neural network; inputting the preprocessed lumbar vertebra image into a centrum identification model for centrum identification, and determining the category and shape of each centrum in the lumbar vertebra image; designing 3D printing guide plates corresponding to the shapes of various types of vertebral bodies in the lumbar vertebra image through a 3D printing technology; a 3D printing guide plate image in the operation process is obtained; the 3D printing guide plate image is preprocessed; constructing a guide hole recognition model based on the convolutional neural network; the preprocessed 3D printing guide plate image is input into a guide hole recognition model for guide hole recognition, and the position of each guide hole in the 3D printing guide plate is determined; according to the positions of the guide holes in the 3D printing guide plate, navigation positioning of the lumbar screw placement operation is conducted.

This invention discloses a spinal osteotomy path planning device, method, and system, belonging to the field of medical device technology. The spinal osteotomy planning device is capable of planning the osteotomy path for spinal osteotomy surgery, specifically including: an identification module, an acquisition module, and a determination module. The identification module is used to identify feature points of at least two vertebrae based on a spinal scan image of the target object. The acquisition module is used to obtain the size of the lesion based on a pathological image of the target object. The determination module is used to determine the osteotomy area on the vertebrae to be osteotomized based on the feature points and the size of the lesion.

The present invention belongs to the technical field of medical devices, and provides a catheter guidewire kit for interventional treatment, including a guidewire and a catheter, wherein the guidewire includes a guidewire core, a guidewire vertebral body is fixedly installed at the end of the guidewire core, a spring coil sheath is sleeved on the guidewire vertebral body, a cutting head is fixedly installed at the end of the spring coil sheath, and the guidewire core and the catheter are coaxially connected through a coaxial connector, a coaxial fixing piece is fixedly installed on one side of the coaxial connector, and the coaxial connector and the coaxial fixing piece are coaxially connected. A catheter guidewire kit for interventional treatment of the present invention improves the penetration and cutting ability of the guidewire tip for thrombus blood clots by fixing a cutting head at the end of the spring coil sheath; the guidewire core and the catheter are connected by a coaxial connector to improve the coaxial accuracy between the catheter and the guidewire core during installation, and the position of the guidewire core is fixed by a coaxial fixing piece to improve the coaxial accuracy between the catheter and the guidewire core during use.

The present disclosure provides a spinal fixation device, including a spinal fixation pedicle screw and an outer oval sheath. The spinal fixation device is provided with at least one locking structure and the outer oval sheath is locked to the spinal fixation pedicle screw through the at least one locking structure. The spinal fixation device can strengthen the stability of the spinal fixation pedicle screw for fixation after implantation in vertebrae during the spinal surgery.

The utility model relates to the technical field of organ models, and specifically is a detachable renal segment model, comprising a base, wherein an inferior vena cava model and an abdominal aorta model are fixedly connected to the base, and a blood vessel model is fixedly connected to the inferior vena cava model and the abdominal aorta model, and a right kidney module and a left kidney module are arranged on the blood vessel model, wherein the right kidney module comprises a right anterior kidney, a right posterior kidney and a right ureter, and the left kidney module comprises a left anterior kidney, a left posterior kidney and a left ureter. In the utility model, the right posterior kidney mainly displays the outer edge and renal cortex of the kidney, and is used to help students recognize the outer edge and renal cortex of the kidney, and LED lamps and lamp strips at different positions have different lamp colors, so the left posterior kidney can use different lamp colors at different positions to help students recognize the renal medulla, renal pyramids, renal calyces, renal calyces, renal pelvis, renal hilum, renal columns, renal papillae and other parts of the kidney, and is also used to help students recognize the internal blood vessel arrangement relationship of the kidney.

An interbody spacer configured for implantation between spinal vertebrae. The interbody spacer including electrical circuitry within an electronics housing of the interbody spacer and a plurality of load sensors spaced apart on carriers of the interbody spacer. The plurality of load sensors electrically connectable to the electrical circuitry and configured to provide to the electrical circuitry a load signal indicative of a measurement of force exerted onto the plurality of load sensors of the interbody spacer. The interbody spacer further including a plurality of electrodes spaced apart on a surface of the interbody spacer. The plurality of electrodes electrically connectable to the electrical circuitry and configured to at least one of provide to the electrical circuitry an electrode signal indicative of an impedance measurement and generate an electrical field between at least two electrodes of the plurality of electrodes.

The invention provides a scoliosis biomechanical testing method, and belongs to the technical field of scoliosis testing, and the scoliosis biomechanical testing method comprises sheep spine bending and nail bar implantation. Sheep spine bending comprises the steps of cutting a sheep spine, fixing an end cover, connecting a translation tool and a clamping tool, driving a middle vertebral body of the sheep spine to move so as to bend the sheep spine, releasing an intervertebral disc with the maximum bending degree, filling denture powder for fixing, and turning segments above and below a lateral convex part of the sheep spine back to be vertical; nail and bar implanting comprises bone nail hole drilling, bone nail implanting and bar implanting. The sheep spine is selected to simulate the human spine, high similarity is achieved, human scoliosis is completely simulated through specific steps of bending and nail bar implantation, and biomechanical testing on human scoliosis is facilitated.

The present invention discloses an automatic analysis system and method for nuclear magnetic resonance images, including a server and a mobile terminal connected to each other; the mobile terminal includes an image acquisition module; the server includes an image recognition module, a database, and a processor, which outputs a normal signal, first disease data, or second disease data to the mobile terminal according to a first vertebral body p through a first method. The present invention uses the processor to determine the bending direction and degree of the cervical spine according to the first method, and then can determine whether the patient's cervical spine is normal, and upload it to the mobile terminal, so that the patient can check the condition in time, which can improve the efficiency of seeing a doctor. The doctor can also use the results generated by the system as a reference to diagnose the patient, reduce the occurrence of misdiagnosis, and reduce the doctor's energy and improve work efficiency.

An interbody spacer configured for implantation between spinal vertebrae. The interbody spacer including electrical circuitry within an electronics housing of the interbody spacer and a plurality of load sensors spaced apart on carriers of the interbody spacer. The plurality of load sensors electrically connectable to the electrical circuitry and configured to provide to the electrical circuitry a load signal indicative of a measurement of force exerted onto the plurality of load sensors of the interbody spacer. The interbody spacer further including a plurality of electrodes spaced apart on a surface of the interbody spacer. The plurality of electrodes electrically connectable to the electrical circuitry and configured to at least one of provide to the electrical circuitry an electrode signal indicative of an impedance measurement and generate an electrical field between at least two electrodes of the plurality of electrodes.

Interbody fusion devices including deployable fixation members. The implant may include a spacer, optionally, an end member coupled to the spacer, and one or more fixation members configured to extend into adjacent vertebrae. The fixation members may include screws, nails, shims, tangs, spikes, staples, pins, blades, fins, or the like, and combinations thereof.

The present invention relates to the field of medical data processing technology, and discloses a method for constructing a three-substance model based on double-layer spectral CT and a quantitative analysis system for bone density and bone marrow fat content, including: according to the double-layer spectral CT data of the target group located at the lumbar vertebral body, using the three-substance decomposition method, the bone matrix volume fraction of the target group and the yellow bone marrow volume fraction representing the bone marrow fat content are obtained; according to the bone matrix volume fraction of the target group, the bone density of the target group is obtained; using the double-layer spectral CT data of the target group located at the lumbar vertebral body as sample data, and using the bone density and bone marrow fat content of the target group as label data, the three-substance model based on the double-layer spectral CT is trained. The present invention can accurately quantify bone density and bone marrow fat content based on the HU value of the double-layer spectral CT image at the same time, reduce the burden of medical resources, help to better understand the role of bone marrow fat in bone metabolic diseases, and provide a reliable reference basis for clinical diagnosis and treatment.

A corpectomy implant device having a solid portion, structural volume and porous end plates configured is disclosed. In some embodiments, the corpectomy device comprises a stochastic lattice structure in the structural volume of the device to reduce stiffness and improve radiolucency. In some embodiments, the porous endplates comprise a lattice configured to provide porosity for bone ingrowth. In some embodiments, endplates are configured to facilitate insertion of the implant between the adjacent vertebrae and to provide anchoring of the corpectomy device to and prevent migration of the device implant in an installed state.

This utility model discloses a depth-limiting sheath assembly for endoscopic-assisted anterior cervical surgery, comprising an outer sheath and an inner sheath, the inner sheath being inside the outer sheath. The outer sheath has a depth-limiting locking block at its tip, which, during operation, can be locked in front of the cervical vertebrae to limit the depth of the sheath and endoscope. One end of the outer sheath is fixedly connected to a receiving cavity, and a pressure block is disposed within the receiving cavity. One end of the pressure block is connected to the receiving cavity via a first spring, and the pressure block is slidably connected to the receiving cavity. This utility model provides a depth-limiting sheath assembly for endoscopic-assisted anterior cervical surgery, which, through the relative movement of the spring-loaded pressure block between the endoscope and the sheath, limits the depth and allows for relative adjustment of the endoscope's position, facilitating observation of the intervertebral discs.

The present invention provides an artificial cervical intervertebral disc barb fixation device. The device includes a first barb structure and at least one second barb structure arranged on the surface of the first barb structure. The second barb structure includes a fixing piece and a spur. The spur includes a vertically arranged needle and a plurality of groups of barb hooks. In the initial state, the top of the spur is protruding from the top of the fixing piece. A driving assembly is provided inside the fixing piece. When the top of the second barb structure is subjected to pressure, the driving assembly can drive the spur to move toward the outside of the fixing piece and make at least one group of barb hooks located outside the fixing piece. Therefore, after the prosthesis is implanted, under the tension of the tissue structure around the patient's cervical spine and the gravity of the cervical spine and head, the first barb structure and the second barb structure are pressed into the upper and lower vertebrae. Under the action of pressure, the spur moves outward and makes at least one group of barb hooks located outside the fixing piece to penetrate into the bone of the adjacent vertebrae to form barbs, thereby increasing the immediate stability with the bone tissue.

The present application relates to a spinal curvature classification method, device, computer equipment and storage medium. The method comprises: obtaining a spinal segmentation image of an object to be detected, wherein the spinal segmentation image includes at least two vertebrae; performing key point detection processing on each vertebra in the spinal segmentation image to obtain key points corresponding to each vertebra, and forming a key point set with the key points corresponding to each vertebra; determining the curvature feature value corresponding to the spinal segmentation image according to the coordinates of each key point in the key point set; matching the curvature feature value with a preset curvature threshold range, and obtaining the spinal curvature category of the object to be detected according to the matching result. The use of this method can improve the accuracy of the obtained spinal curvature category.

The utility model discloses a device for rotating an orthopedic track in scoliosis deformity surgery, which comprises two forceps arms hinged with each other, the two ends of each forceps arm are respectively a clamping end and a holding end, and the hinge point between the two forceps arms is positioned between the clamping end and the holding end of each forceps arm. The clamping end of each clamp arm is provided with two clamping arms capable of moving close to or away from each other. The utility model aims to provide the device for rotating the orthopedic track in the scoliosis deformity operation, and the device can enable two adjacent vertebral bodies with overlarge intervertebral space to move close to each other, so that the space between the two vertebral bodies is reduced to meet the requirement.

The invention discloses a frequency-enhanced multi-granularity context-based vertebral body segmentation method, and belongs to the fields of deep learning, computer vision and image segmentation. Comprising the following steps: firstly, collecting and dividing data, obtaining image data of CT and MRI of a vertebral body in a three-dimensional imaging mode, and dividing the image data into a training set and a test set; secondly, preprocessing, training and post-processing the image data; thirdly, training a network model, and training the multi-granularity context segmentation model based on frequency enhancement on the training set to obtain a segmentation model; and finally, testing the segmentation model effect. According to the method, the information loss is avoided by introducing the sampling operation under the wavelet transform, the low-frequency and high-frequency features are respectively strengthened, the accuracy and detail representation of the segmentation result can be improved, and important technical support is provided for precise medical treatment. According to the method, multi-granularity context information can be fused more effectively, image details are reserved, the segmentation precision is improved, and the method is suitable for various clinical application scenes.

The invention provides a non-radiative navigation method and device for an intraoperative robot. The method comprises the following steps: acquiring a spinal column three-dimensional model of an object; based on the spinal column three-dimensional model, determining spinal column operation planning information and guide plate planning information of all vertebral bodies to be provided with screws; a positioning pattern is planned on the guide plate; obtaining an intraoperative image after each vertebral body to be subjected to screw placement abuts against the guide plate, and performing registration on the spine three-dimensional model and the intraoperative vertebral body to be subjected to screw placement; and based on the registered three-dimensional model of the vertebral body to be subjected to screw placement and the spine, planning a surgical path of the surgical robot. According to the application, the guide plate of the vertebral body with the positioning pattern is planned, so that accurate positioning and navigation of the vertebral body are realized after the guide plate abuts against the vertebral body; therefore, on one hand, X-ray irradiation is not needed, and on the other hand, positioning precision is greatly improved.

A motion-preserving spinal implant is presented for placement within the intervertebral space for the total replacement of a degenerated spinal disc. The motion-preserving spinal implant has a pair of endplates sandwiched around an inner and an outer core, with the inner core positioned concentrically within the outer core. The outer core encapsulates the inner core and provides a proper seal while maintaining flexibility and elasticity to advantageously support physiological movements. The inner core is constructed of an elastomeric material and acts as a solid diaphragm to resist and withstand localized compression and other forces. The endplates provide anchorage and fusion with the adjacent vertebrae and maintain the inner and outer cores in place.The motion-preserving spinal implant restores normal height and natural function to the degenerated spinal disc and preserves natural spinal movement.

The application discloses a spine vertebra segmentation method based on frequency enhanced multi-granularity context, and belongs to the fields of deep learning, computer vision and image segmentation. The method comprises the following steps: firstly, collecting data and performing division to obtain image data of spine vertebra CT and MRI in a three-dimensional imaging mode, and dividing the image data into a training set and a test set; secondly, performing preprocessing, training and post-processing on the image data; thirdly, training a network model, training a frequency enhanced multi-granularity context segmentation model on the training set to obtain a segmentation model; and finally, testing the segmentation model effect. The application can avoid information loss by introducing a wavelet transform downsampling operation, and can enhance low-frequency and high-frequency features respectively, so that the accuracy and detail performance of a segmentation result can be improved, and important technical support can be provided for precision medicine. The application can more effectively fuse multi-granularity context information, retain image details and improve segmentation precision, and is suitable for various clinical application scenarios.

The invention discloses a cervical vertebra spinous process fixing device which comprises a first fixing plate and a second fixing plate, two first through holes are formed in the first fixing plate, two second through holes are formed in the second fixing plate, a locking rod is arranged between the first through holes and the second through holes in a penetrating mode, and positioning protrusions and sharp protrusions are arranged on the first fixing plate and the second fixing plate. The invention further discloses an operating device which comprises two operating rods hinged to each other, clamping plates are connected to the clamping ends of the two operating rods, positioning grooves, movable clamping arms and fixed clamping arms are arranged on the two clamping plates, and the movable clamping arms can be driven by a driving structure to get close to or get away from the fixed clamping arms. The invention further discloses a cervical vertebra spinous process fixing system comprising the cervical vertebra spinous process fixing device and an operation device. According to the cervical spine process fixing device, the operation device and the fixing system, spinous processes of three adjacent vertebral bodies of the cervical vertebra can be mutually fixed.