45 results about "A vertebralis" patented technology

The invention discloses an angle-adjustable or deployable multi-stage anchoring insertion sheet system, and relates to the technical field of medical instruments, the angle-adjustable or deployable multi-stage anchoring insertion sheet system comprises a hollow box body, and the upper surface and the lower surface of the box body are each provided with at least one insertion sheet outlet; the at least one group of inserting piece driving mechanism is arranged in the box body and is used for generating linear driving force; the at least two insertion sheet assemblies are accommodated in the box body in an initial state, and each insertion sheet assembly is in driving connection with the insertion sheet driving mechanism; according to the intervertebral fusion cage, the secondary anchoring part capable of moving relative to the basic anchoring part is arranged, so that the anchoring angle or the opening degree of the fusion cage can be adjusted according to a vertebral form operation of a patient after the fusion cage is implanted, the adaptability to different anatomic forms is improved, and a more flexible anchoring scheme is provided for an intervertebral fusion operation.

The invention relates to a spinal fracture segmentation and training method and system based on neural network semi-supervised learning and related equipment. The method comprises the following steps: acquiring a spine CT image of a target patient, and performing vertebra segmentation on the spine CT image based on a 3D U-Net model to obtain a vertebra CT image; classifying the vertebra CT image by using a 2.5 D vertebra fracture classification model to obtain a vertebra fracture image and a fracture-free vertebra image; constructing an artificial vertebra fracture area segmentation mask based on the fracture CT image of the specific part and the fracture-free vertebra image, and generating a vertebra fracture area segmentation mask according to the vertebra fracture image; and performing semi-supervised learning training on the 3D U-Net model by taking the artificial vertebral fracture region segmentation mask and the vertebral fracture region segmentation mask as training data to obtain a vertebral fracture segmentation model. According to the method, training of the spinal fracture segmentation model is realized under the condition of limited real patient spinal fracture image data, the accuracy and efficiency of fracture classification are improved, and the spinal fracture segmentation precision is improved.

Disclosed herein are an inserter instrument, a system including the inserter, a spinal implant, and fasteners for affixing the implant to the spine of a subject, and related methods for performing spinal procedures including insertion of spinal plates. The inserter includes a housing, an inner sleeve slidably disposed within the housing, and an awl slidably disposed within the housing and inner sleeve. The housing includes a rotatable portion configured to actuate translation of the inner sleeve proximally or distally relative to the housing along a central axis to releasably engage the spinal implant using a distal engagement portion of the inner sleeve. The awl is configured to form a pilot hole in a vertebra at the surgical site, which is configured to receive a fastener to fix the spinal plate to the spine.

This invention provides a method, device, medium, and program product for spinal segmentation, relating to the field of intelligent healthcare. The method includes: acquiring a three-dimensional CT image of the spine; segmenting the three-dimensional CT image to obtain an N-value mask image of the entire vertebral column; cropping individual vertebrae from the N-value mask image of the entire vertebral column to obtain N-value mask images where adjacent individual vertebrae are not connected; locating the centroid of each individual vertebra in the N-value mask images where adjacent individual vertebrae are not connected to obtain an image with the located centroid; and segmenting an image of a single vertebra corresponding to the single centroid from the image with the located centroid as the center. This application reduces the difficulty of segmenting the entire vertebral column and improves the segmentation accuracy by first coarsely locating the spinal region and then finely locating different vertebral regions for segmentation.

The application discloses a scoliosis detection method, computer equipment and a storage medium, wherein the method comprises the following steps: training a preset recognition network model by using a data training set to obtain a pre-training recognition network model, wherein the training adopts a loss function provided with a regularization penalty term based on an anatomical prior constraint; recognizing a spine image by using the pre-training recognition network model to obtain corner points of each vertebra in the spine; and calculating a Cobb angle of the spine according to the corner points. The technical scheme provided by the application can improve the accuracy of the obtained Cobb angle.

The invention belongs to the technical field of bionic robots, and provides a collaborative damping system applied to vertebrae of a simulated humanoid robot and an implementation method of the collaborative damping system. The multi-part cooperative damping mechanism comprises a cervical vertebra damping assembly, a lumbar vertebra damping assembly and a caudal vertebra damping assembly, the cervical vertebra damping assembly, the lumbar vertebra damping assembly and the caudal vertebra damping assembly have different damping functions, and multi-stage damping of the spine of the humanoid robot is achieved through the synergistic effect. The damping assemblies with different materials, structures and functions are designed for the three key sections of the cervical vertebra, the lumbar vertebra and the caudal vertebra, and the damping assemblies work cooperatively, so that multi-stage and efficient absorption from high-frequency fine vibration to large-amplitude vertical impact is achieved; meanwhile, through the signal linkage module and the damping parameter adjusting module, the system can automatically adjust the damping coefficient and mode of each damping assembly according to the vibration type sensed in real time and the motion state of the robot.

The present application relates to a kind of device for making spinal cord contusion model and damage test method, belong to spinal cord injury test field, solve the technical problems of the prior art instrument structure complex, bulky, high cost, and the consistency and repeatability of instrument making spinal cord contusion model is not high, simultaneously, the device for making spinal cord contusion model of the present application can move, also solve the problem that due to instrument fixation, need to transport rat in spinal cord injury experiment.The device for making spinal cord contusion model of the present application includes fixture installation platform, striker installation platform, actuating transmission assembly, striker and vertebral clamp;Form the device for making spinal cord contusion model of movable bottom plateless.

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 application discloses a rapid registration method and device for robot-assisted spine surgery, and steps of the rapid registration method include: performing a Boolean operation on a spinous process part of a three-dimensional model of a vertebra of a surgical subject and a three-dimensional model of a registration device, and deriving a registration matrix; deriving the three-dimensional model of the registration device after the Boolean operation, and performing rapid prototyping processing; and in a surgical process, fixing the registration device in place on the spinous process part of the surgical subject, and completing registration. The application has the advantages of simple interactive operation, short learning period, portable and easy-to-disinfect registration device, fast registration speed, avoidance of X-ray radiation exposure, and improvement of a surgical environment.

Embodiments include example systems, methods, and computer-accessible mediums for analysis and visualization of data associated with anatomical images. In some embodiments the anatomical images can be spinal images used for assessment of stenosis and disc degeneration. In some embodiments, systems, devices, and methods described herein include selecting a region of interest (ROI) in a three-dimensional (3D) volume of image data of a plurality of vertebra of a spine, identifying one or more anatomical parts in the ROI, determining one or more parameters of the one or more anatomical parts, and assessing a severity of a spinal deformity based on the one or more parameters.

Disclosed herein are an inserter instrument, a system including the inserter, a spinal implant, and fasteners for affixing the implant to the spine of a subject, and related methods for performing spinal procedures including insertion of spinal plates. The inserter includes a housing, an inner sleeve slidably disposed within the housing, and an awl slidably disposed within the housing and inner sleeve. The housing includes a rotatable portion configured to actuate translation of the inner sleeve proximally or distally relative to the housing along a central axis to releasably engage the spinal implant using a distal engagement portion of the inner sleeve. The awl is configured to form a pilot hole in a vertebra at the surgical site, which is configured to receive a fastener to fix the spinal plate to the spine.

The present invention provides a pedicle screw placement guide plate and a preparation method thereof. The prepared screw placement guide plate can safely and accurately place pedicle screws, reduce surgical risks and trauma, and improve the quality of life of patients. The pedicle screw placement guide plate comprises a transverse column, a lateral column, and a needle channel column. Needle channels are arranged at both ends of the transverse column, each needle channel is vertically extended downward and provided with a lateral column, each needle channel is obliquely extended downward and provided with a needle channel column, the lateral column and the needle channel column share an input end, and the inner cavity of the needle channel column is connected to the needle channel. The pedicle screw placement guide plate comprises the following steps: obtaining a CT image of a target vertebra of a patient, importing the image into 3D modeling software to establish a 3D model of the target vertebra; establishing a pedicle screw placement guide plate model, planning the optimal screw insertion point and direction of a pre-placed screw on the 3D model of the target vertebra using a cylinder with a diameter of 4 mm in the 3D modeling software, then establishing a needle channel column to surround the cylinder, and sequentially establishing a transverse column, a lateral column, and a diagonal support column to obtain an initial model.

A model mimicking an anatomical formation, such as a spine, can be used for teaching and practice to students and practitioners. The model includes a number of segments in the form of spinal vertebrae, which are connected to one to mimic the movement of human vertebra. The rotational movement between the segments can be adjusted frictionally to mimic human spines of varying conditions. A cavitation member is included between at least two adjacent segments to mimic a manipulation of the spinal members and to provide feedback to the user. The model can improve manual mobilization and manipulation skills within the academic or clinical setting.

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 provides a spine image segmentation method and device based on vertebra positioning. The method comprises the following steps: acquiring a spine medical image; inputting the spine medical image into the contour correction structure to obtain a correction mask; and inputting the correction mask and the spine medical image into the segmentation structure to obtain an image segmentation result. According to the method and the device, the problem that the vertebral bodies are easy to adhere or the sequence numbers of the vertebral bodies are not accurate in the segmentation result is avoided through the processing mode of generating the correction mask to correct the segmentation.

Embodiments of the present disclosure include in-situ formed or in-situ-manufactured expandable cages, expandable implants, and additive-manufacturing systems for printing spinal implants in-situ, and methods for printing the same. Some embodiments may include a robotic subsystem including scanning and imaging equipment configured to scan a patient's anatomy. Some embodiments may further include an armature having a dispensing component configured to dispense at least one printing material and a controller. The controller may be configured to control the scanning and imaging equipment to determine a target alignment of a patient's spine, and develop in-situ-forming instructions including an in-situ relocation plan. In some embodiments, the in-situ-forming instructions may be based on the target alignment of the patient's spine and an interbody access space which may only partially provide access to a disc space between adjacent vertebra of the patients spine. The controller may execute the in-situ-forming instructions to form an interbody cage.

The present invention relates to a method for automatic assessment of the Cobb angle for scoliosis based on deep learning. Through a network model consisting of an HRNet-18 encoding unit and a decoding unit with a resolution equivalent fusion module, the coordinates of the vertebral center points and the vertebral inclination vectors in X-ray images are predicted. This eliminates the indirect errors caused by point-based Cobb angle prediction in existing work and enables high-precision automatic assessment of the Cobb angle. At the same time, the vertebral center point coordinates and vertebral inclination vectors are combined and visualized using OpenCV to achieve visual interpretability.

A bending section for an articulatable instrument is provided. The bending section may have composite structure comprising one or more wire forms having a substantially alternating square wave pattern; two or more vertebra segments engaged with the one or more wire forms at one or more locations. The square wave pattern may have wave peaks or wave troughs and a vertebra segment is engaged with a wire form at a transitional location between two wave peaks.

Disclosed herein are various implementations directed to systems, methods, and devices used to improve orthopedic surgeries. In some of the disclosed implementations, the systems, methods, and devices improve accuracy of a 3D model of the anatomy of a patient prior placing pedicle screw and similar devices when securing medical equipment to bone, such as when fusing vertebrae together or similar procedures.

A computerized method aiding a surgeon end-user, including providing a light projector configured to project at least one pattern onto spine, providing 3D video cameras operative, when the spine is in their field of view, to capture 3D video imagery of the spine and pattern; providing a tool tracker comprising an INS operative to repeatedly compute an output tool-status indication of a current orientation and position of tool used during spine surgery, and a wireless communication module providing data communication between subsystem and a processor including sending the output tool-status indication to the processor, the processor including logic configured to receive the output tool-status indication generated by the tool tracker and the 3D video imagery, and to track vertebra, using the pattern, which is known to the processor, and accordingly to provide feedback to the surgeon.

The invention belongs to the technical field of medical instruments, and particularly relates to a scoliosis magnetic reset device and a use method thereof. The scoliosis magnetic reduction device is accurately fixed to vertebral arch plates on the two sides of a vertebral spinous process through the multiple pairs of hollow screws, and the problem of local compression caused by a hard frame of a traditional mechanical brace is effectively solved. The adjustable first electromagnetic rod, the matching connecting block, the T-shaped electromagnetic rod and the electromagnetic top frame form an exquisite structure, and the electromagnetic beam with the distance adjusted through electromagnetic force can achieve refined and gentle control over the correction strength according to the actual condition of a patient, the defect that the strength of a traditional traction instrument is difficult to control accurately is overcome, and the use safety of the patient is improved. The problem that spinal tissues are damaged by excessive traction or the correction effect is influenced by insufficient strength is avoided. By means of the innovative design, the correction process is more scientific and safer, the correction effect is ensured, meanwhile, the safety and effectiveness of scoliosis correction are greatly improved, and a more comfortable and efficient new treatment choice is brought to a patient.

The present invention relates to the field of medical care information technology, and more specifically to an imaging-assisted assessment system for orthopedic spinal surgery. The system comprises a region acquisition module, a region correction module, a callus growth coefficient acquisition module, and a network training module. The system obtains the initial vertebral fusion region from spinal images of historical patients after spinal fusion surgery and corrects the initial vertebral fusion region to obtain the true vertebral fusion region; determines a number of first intervertebral gradient regions and second intervertebral gradient regions in the true vertebral fusion region, and determines the callus growth coefficient of the true vertebral fusion region based on the position distribution and pixel grayscale of the first intervertebral gradient region and the second intervertebral gradient region; constructs a training set using the callus growth coefficients of all historical patients and the postoperative risk classification calibrated with the initial vertebral fusion region, and trains a postoperative risk classification network. The present invention effectively improves the classification accuracy of the postoperative risk classification network.

Provided herein are methods of using isolated vertebral skeletal stem cells (vSSCs) to promote osteogenesis. The compositions and methods disclosed herein can be used to improve outcomes of orthopedic procedures, e.g., during spine fusion procedures to maximize the fusion mass and thereby prevent pseudarthrosis.

This application discloses an improved approach for delivering alternating electric fields (e.g., TTFields) at a therapeutically effective strength to a target region of the spinal anatomy. In some embodiments, first and second sets of electrode elements are positioned with their centroids adjacent to upper and lower portions of the person's spine, respectively. In other embodiments, a first set of electrode elements is positioned with its centroid on an upper surface of the person's head, and a second set of electrode elements is positioned with its centroid adjacent to the person's spine (e.g., below the L3 vertebrae). Applying an AC voltage between the first and second sets of electrode elements generates a generally vertical field in the target region at levels that are not achievable using other layouts for positioning the electrode elements on the subject's body. These configurations are particularly useful for preventing and / or treating metastases.

This application relates to the fields of medical devices and puncture technology, and more particularly to an image fusion method, apparatus, and computer equipment. The method includes: acquiring a first transverse process image segmented from an ultrasound image of the vertebral region of a target object, and a second transverse process image segmented from a medical image of the vertebral region; registering the ultrasound image and the medical image based on the three-dimensional coordinate information of each transverse process in the first and second transverse process images to obtain a registration matrix, and then performing image fusion based on the registration matrix. This method can correctly guide puncture.

Methods and systems for spinal radio frequency neurotomy. Systems include needles capable of applying RF energy to target volumes within a patient. Such target volumes may contain target medial branch nerves along vertebrae or rami proximate the sacrum. Such procedures may be used to ablate or cauterize a portion of the targeted nerve, thus blocking the ability of the nerve to transmit signals to the central nervous system. Disclosed needles may be operable to asymmetrically, relative to a central longitudinal axis of the needle, apply RF energy. Such asymmetry facilitates procedures where a tip of the needle is placed proximate to anatomical structures for location verification. Then RF energy may be applied in a selectable direction relative to the needle tip to ablate volumes that include the targeted medial branch nerves or rami, thus denervating facet joints or the sacroiliac joint, respectively, to relieve pain in a patient.

The present invention discloses a health monitoring method, device, intelligent terminal and computer-readable storage medium, wherein the health monitoring method includes: obtaining a target image of a target object; obtaining the vertebral curvature angle of the target object based on the target image; and performing health monitoring on the target object based on the vertebral curvature angle. The health monitoring method provided by the scheme of the present invention can obtain the target image of the user, thereby obtaining the vertebral curvature angle of the user in real time, and further realizing health monitoring of the user. Therefore, compared with the existing technology, the scheme of the present invention is conducive to providing users with a health monitoring solution, helping users to notice that they are in an unhealthy posture, realizing health monitoring of users, and helping to reduce the time of vertebral bending of users and reduce the possibility of vertebral injury to users.

Methods and systems for intraoperatively determining alignment parameters of a spine during a spinal surgical procedure are disclosed herein. In some embodiments, a method of intraoperatively determining an alignment parameter of a spine during a surgical procedure includes receiving initial image data of the spine including multiple vertebrae and identifying a geometric feature associated with each vertebra in the initial image data. The geometric features each have a pose in the initial image data and characterize a three-dimensional (3D) shape of the associated vertebra. The method further comprises receiving intraoperative image data of the spine and registering the initial image data to the intraoperative image data. The method can then update the pose of each geometric feature based on the registration and the intraoperative image data, and determine the alignment parameter based on the updated poses of the geometric features associated with two or more of the vertebrae.

Spinal surgery systems and methods include a manipulator with a robotic arm and an end effector. A navigation system with a localizer tracks a patient and the manipulator. A control system registers, with the navigation system, a desired trajectory for a vertebra of the patient and detects that the end effector is within a predetermined distance to the desired trajectory. In response to the end effector being within the predetermined distance and detection of a user input, the control system autonomously moves the robotic arm to align the end effector to the desired trajectory. The end effector is constrained to the desired trajectory with a line haptic object and can exit the line haptic object in response to being moved along the line haptic object until the end effector reaches an exit point defined relative to the line haptic object.