931 results about "Vertebra" patented technology

A clinical vertebra image segmentation method for assisting pedicle screw placement surgery, said method comprising: constructing a VerseDiff-UNet end-to-end framework, the framework being integrated with a denoising diffusion probabilistic model (DDPM); combining a noise-added image with a marked mask by using the VerseDiff-UNet framework, and guiding a diffusion direction toward a target region; and introducing a shape priors module on the basis of the DDPM, and extracting structural semantic information from an input spine image. In order to capture specific anatomical prior information in a medical image, the shape priors module is combined and the module effectively extracts the structural semantic information from the input spine image, thereby enabling more accurate anatomical structure segmentation, and facilitating accurate diagnosis and treatment of spinal disorders.

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.

An implant assembly for stabilizing a joint between a superior vertebra and an inferior vertebra may include a bone plate and an interbody spacer. The bone plate may include an anterior member having at least one superior fastener aperture and at least one inferior fastener aperture formed therethrough. The bone plate may also include a first arm extending from a first end of the anterior member, and a second arm extending from a second end of the anterior member, opposite the first arm, forming a cavity therebetween. The interbody spacer may be configured for placement within the cavity of the bone plate. At least a portion of the bone plate may be formed via at least one subtractive manufacturing process, and at least a portion of the interbody spacer may be formed via at least one additive manufacturing process.

An implant assembly for stabilizing a joint between a superior vertebra and an inferior vertebra may include a bone plate and an interbody spacer. The bone plate may include an anterior member having at least one superior fastener aperture and at least one inferior fastener aperture formed therethrough. The bone plate may also include a first arm extending from a first end of the anterior member, and a second arm extending from a second end of the anterior member, opposite the first arm, forming a cavity therebetween. The interbody spacer may be configured for placement within the cavity of the bone plate. At least a portion of the bone plate may be formed via at least one subtractive manufacturing process, and at least a portion of the interbody spacer may be formed via at least one additive manufacturing process.

The objective of the present invention is to provide a patient-bone-customized cervical vertebra fixing plate using 3D printing technology, the cervical vertebra fixing plate having a screw separation blocking plate rotatably formed thereon so as to prevent the pushing outward of a screw inserted into and fastened to the cervical vertebra from the cervical vertebra fixing plate such that the fixing state of the cervical vertebra fixing plate can be firmly maintained, and also having an uneven part or a porous structure layer for improving adhesion to the cervical vertebrae so that the cervical vertebra fixing plate can be firmly adhered, without deviation from the position thereof, to the cervical vertebrae between which an artificial disc is inserted, and enabling adhesion and coupling force between the inner surface of the cervical vertebra fixing plate and the surface of the cervical vertebra to be improved.

A device for performing intervertebral body fusion between at a vertebral joint, and associated systems and methods for manufacturing the device are disclosed herein. In some embodiments, the device includes an expandable main body configured to be locked in a desired configuration between a superior and an inferior vertebrae at the vertebral joint to facilitate the intervertebral body fusion at the vertebral joint. A first endplate is connected to the main body. The first endplate can include a superior surface having one or more patient-specific features configured to engage and mate with an inferior surface of the superior vertebra. A second endplate is connected to the main body. The second endplate can include an inferior surface having one or more patient-specific features configured to engage and mate with a superior surface of the inferior vertebra.

Various embodiments of bone ties, bone tie inserters, and methods for treating the spine are provided. The methods can include wrapping the bone tie around transverse processes of adjacent vertebrae to correct coronal plane deformity. The methods can include wrapping the bone tie around the spinous process of one vertebra and around the transverse process of a second adjacent vertebra to achieve rotational correction. The methods can include wrapping the bone tie around the lamina of adjacent vertebrae to achieve sagittal correction. The methods can include applying tension to the bone tie to set the sagittal correction. The methods can include passing the bone tie through a lumen in a vertebral body or a pedicle of the inferior vertebra and the lamina or articular process of the superior vertebra.

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 invention relates to the technical field of bone mineral density detection, and discloses a bone mineral density detection method which comprises the following steps: step 1) image acquisition; step 2) image segmentation; 3) reconstructing a three-dimensional surface; 4) reconstructing three-dimensional body distribution; 5) performing calibration calculation; according to the method, the automatic segmentation algorithm, the three-dimensional reconstruction algorithm and the gray density mapping technology based on the Lambert-Beer law are combined, so that the lumbar vertebra bone mineral density is rapidly and accurately detected, and a reliable basis is provided for early diagnosis of osteoporosis; in addition, the method is based on common X-ray images, is low in radiation dose, is lower in equipment cost, is suitable for basic medical institutions and resource-limited regions, and has wide popularization value and application prospect.

The invention relates to the technical field of medical informatics, in particular to an acupuncture positioning system based on computer vision. The system comprises a memory and a processor, and the processor executes a computer program stored in the memory to realize the following steps: acquiring a depth image of the back of a patient, performing key point detection on the depth image, correcting the coordinates of the spine and the acupuncture points on the two sides of the patient according to the position difference between the back vertebrae of the patient and the standard back vertebrae of the human body; determining a posture difference factor by combining the position difference between the position of each key point in the depth image and the position of the key point in the depth image of the standard human body back and the influence weight of each key point on each acupuncture point; obtaining an acupoint correction coefficient according to the change probability and the posture difference factor of the acupoint positions in different types of crowds; and correcting coordinates of acupuncture points at other positions except the spine and the two sides of the back of the patient by using the acupuncture point correction coefficient. According to the invention, the accuracy of acupoint positioning is 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.

The invention provides a personalized adjustable artificial vertebral body, and belongs to the technical field of medical instruments. An end plate adjustable rod; the sliding groove is formed in the end plate adjustable rod; the external thread is fixedly connected between the inner walls of the two sides of the end plate adjustable rod, and the external thread is located in the sliding groove; the notch and the structure are designed individually, customization can be carried out according to the requirements of different patients, and better adaptability and clinical effects are provided; the angle adjusting function is achieved, and the angle of a vertebral body can be adjusted through combination of an end plate adjusting rod and an external thread; the length can be adjusted, and personalized adjustment of the length of the vertebral body is achieved through cooperation of the adjusting nut and the adjusting screw rod; the stability is high, the stability of initial implantation is provided by a spine and a support frame structure, and bone induction and long-term fixation fusion are promoted in a bone trabecula area; the operation is simple, the use method is clear, and doctors can perform surgical operations conveniently.

A system for correcting a lateral curvature of a spine that can include a plurality of screws configured to be implanted in a plurality of vertebrae, and a plurality of extensions configured to be removably coupled with the plurality of screws. Some embodiments of the plurality of extensions can be curved, bent, angled, and / or offset along at least a portion thereof and can be removably coupled with a screw head of each of the plurality of screws. The system can include a connecting element or rod that is configured to be coupled with the plurality of screw heads. Some embodiments of the system can be configured such that the rod can be guided along the plurality of extensions from the proximal toward the distal end portions of the extensions and into engagement with the plurality of screws to cause the plurality of vertebrae to move laterally.

The invention relates to the technical field of vehicle safety evaluation, in particular to a finite element model modeling method capable of reproducing chest torsion performance. Comprising the steps that the geometric contour of a thoracic cavity is extracted through a lying posture tomography image, the thoracic cavity structure comprises a sternum structure, a thoracic vertebra structure and a rib structure, the lobe posterior angle of the thoracic vertebra is corrected based on a standing posture X-ray computed tomography image, and a three-dimensional geometric model of the thoracic cavity is reconstructed; establishing a thoracic cavity finite element model through grid division and material attribute definition; establishing a spherical hinge between the thoracic vertebra transverse process and the rib head; assembling the thoracic cavity finite element model into a whole person element model; and carrying out parameterized model optimization. According to the technical scheme, the real anatomical structure and the chest response data of the multi-direction complex collision working condition can be combined to establish the high-biological fidelity finite element model capable of reproducing the chest torsion performance, so that the chest injury condition in the VRU traffic accident can be predicted more accurately.

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.

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.

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.

A continuum manipulator that comprises an assembly of ‘vertebra’-like modules fabricated using two curved links and twelve strings and actuated using Motor-Tendon Actuators. The modules being modeled as tensegrity structures having a polyhedron shape. The vertices and edges of the tensegrity structure polyhedron correspond to the holes and strings or links of the structure. Furthermore, a mobile continuum manipulator that includes a control unit and wheels or mobile legs.

A system for correcting a lateral curvature of a spine that can include a plurality of screws configured to be implanted in a plurality of vertebrae, and a plurality of extensions configured to be removably coupled with the plurality of screws. Some embodiments of the plurality of extensions can be curved, bent, angled, and / or offset along at least a portion thereof and can be removably coupled with a screw head of each of the plurality of screws. The system can include a connecting element or rod that is configured to be coupled with the plurality of screw heads. Some embodiments of the system can be configured such that the rod can be guided along the plurality of extensions from the proximal toward the distal end portions of the extensions and into engagement with the plurality of screws to cause the plurality of vertebrae to move laterally.

The invention discloses a spine parameter measurement and spine automatic typing method comprising the following steps: obtaining four spine original images of a to-be-detected target in different directions, preprocessing the spine original images, and sending the preprocessed spine original images into an image neural network to obtain key information in the images; and performing parameter measurement and analysis according to the key information to obtain various parameters. And calculating according to the lateral bending Cobb angle, the segment and the sagittal posterior convex angle to obtain a lateral bending type. And judging the relative position relationship between the sacrum perpendicular bisector CSVL and the vertebral pedicle mask to obtain the corrected type of the lumbar curvature. And judging according to the thoracic vertebra posterior lobe of the sagittal plane to obtain a thoracic vertebra sagittal plane correction type. And combining the lateral bending type, the waist bending correction type parting and the thoracic vertebra sagittal plane correction type to obtain a complete Lenke parting. Through automatic identification and automatic calculation, the popularization rate of spine radiation parameter measurement can be effectively improved without professional requirements and thresholds, and the method has very high clinical practical significance and popularization significance.

The invention provides an interbody fusion cage which comprises an installation main body, a first prosthesis frame and a second prosthesis frame, the first prosthesis frame is located above the second prosthesis frame, the first prosthesis frame and the second prosthesis frame are each provided with a vertebral body connecting part, and the installation main body is located above the first prosthesis frame and the second prosthesis frame; the bottom end of the first prosthesis frame and the top end of the second prosthesis frame are in limiting fit in the horizontal direction; the adjusting device comprises a fixing frame and an elastic adjusting mechanism, the bottom end of the fixing frame is arranged on the second prosthesis frame, the elastic adjusting mechanism is movably arranged on the fixing frame, the first prosthesis frame is provided with an abutting part, and the abutting part abuts against the top end of the elastic adjusting mechanism. By means of the technical scheme, the problems that in the using process of a fusion cage in the prior art, the upper and lower installation heights of the interbody fusion cage cannot be adaptively adjusted, spines located at the upper end and the lower end of the fusion cage are pressed, the surface of the fusion cage is prone to being abraded, and the fusion cage is damaged can be solved. And bony fusion between the upper vertebral body and the lower vertebral body is affected.

Systems and methods for providing an interbody implant are disclosed. According to some implementations, the implant includes an implant body having a cranial face and a caudal face disposed opposite the cranial face. In some implementations, the implant includes one or more primary fixation mechanisms, which in turn can include one or more anchor cavities defined by the implant body. In some cases, one or more anchors are configured to be housed at least partially within the anchor cavities in an undeployed position, and the anchors are configured to be translationally deployed to a deployed position in order to couple the implant to a bony endplate of a spinal vertebra. In some implementations, the implant includes one or more actuators configured to effectuate selective deployment of the anchors.

The invention provides a human body posture abnormity assessment method based on a body measurement all-in-one machine, and the method comprises the steps: obtaining the video data, collected by multiple cameras, of the bending and foot touching actions of a subject, carrying out the preliminary positioning of a spine, a lumbar vertebra and thoracic vertebra transition region, and key points of legs, and extracting the coordinates of the key points; leg joint angle change is calculated according to the leg key point coordinates, if the angle change amplitude is lower than a preset threshold value, it is judged that leg flexibility is insufficient, a key point tracking strategy is adjusted, and the tracking density of a leg area is increased; according to the posture abnormity score, generating a posture abnormity report of the bending and foot touching actions of the subject, and marking specific positions of spine curvature abnormity, stiffness increase of a transition area between the lumbar vertebra and the thoracic vertebra and insufficient leg flexibility; and dynamically updating a key point tracking strategy and an attitude anomaly judgment threshold according to the action normativity score, and optimizing the accuracy and real-time performance of subsequent action evaluation.

The invention relates to a lumbar vertebra protection method and system and a medium, and relates to the technical field of intelligent wearing. According to the scheme, personal basic information and past medical history of a patient are collected, the personal basic information comprises the age, the gender, the height, the weight and the BMI value of the patient, and the past medical history comprises past disease types and current disease courses; on the basis of the personal basic information and the past medical history, a lumbar vertebra supporting strength dynamic adjusting strategy is obtained, and the lumbar vertebra supporting strength dynamic adjusting strategy comprises a control strategy for supporting strength of the patient in all activity states, a control strategy for a supporting mode and recognized bad postures on the basis of the collected electromyographic signals of the patient; and controlling the waist support protection device based on the obtained dynamic adjustment strategy of the lumbar support strength, wherein the control comprises the control of the support strength, the control of the support mode and the early warning control of bad postures. Compared with the prior art, more targeted support strength and support mode control strategies for the patient can be obtained.

The invention discloses a six-dimensional cervical vertebra bonesetting traction system based on a facial posture recognition technology, which comprises a bearing moving disc provided with a facial posture recognition module, a cervical vertebra radian traction module, a left-right rotating torsion disc module, a left-right lateral bending torsion disc module, a bed surface inclination and anterior cervical inclination association module and a control module, the cervical vertebra radian traction module comprises a manipulator neck holding assembly, a manipulator forehead holding assembly and a backward inclination driving assembly; the control module can perform lateral rotation traction and / or lateral flexion traction, and adjust the face posture to an ideal posture before traction and after traction reset; the ideal posture before traction is in a horizontal state, a front-neck inclined state or a rear-neck inclined state, and the ideal posture after traction resetting is in a horizontal state; the face is adjusted to be horizontal through the bed surface inclination and neck front inclination association module, the face is adjusted to be in a neck front inclination shape through the mechanical arm neck holding assembly, and the face is adjusted to be in a neck rear inclination shape through the rear inclination driving assembly and the mechanical arm forehead holding assembly. And the traction effect is optimal.

The present invention discloses a two-stage AIS spine CT image multi-label segmentation method based on deep learning. The method first obtains an AIS spine image dataset, preprocesses the images in the dataset, and creates new labels for vertebrae positioning. Secondly, the preprocessed images and new labels are processed to train a convolutional neural network for vertebrae positioning. The preprocessed images are then tested using the trained convolutional neural network, and the test results are post-processed to obtain the predicted results of the vertebral center of mass in the spine image. The preprocessed original images and labels are then reprocessed to train the constructed segmentation network. Finally, a region of interest is created based on the vertebral center of mass position predicted during the vertebrae positioning process, and the trained segmentation network is used to segment the target vertebrae in the region of interest, and then the multi-label segmentation results are obtained by integration. The present invention can effectively segment vertebrae.

The invention discloses a pillow regulation and control method self-adaptive to cervical vertebra flexion and shoulder width and application of the pillow regulation and control method to a pillow, and relates to the technical field of sleeping posture regulation. The method comprises the steps of registering a three-dimensional contour point cloud through an ICP algorithm, calculating a neck curvature value, establishing a multiple linear regression model in combination with a pressure gradient change curve and a pressure peak offset, and realizing quantitative correlation between pressure data and a cervical vertebra inclination angle; based on the curvature change amplitude and shoulder breadth classification, a personalized model is constructed; and through attitude monitoring and pressure feedback, a real-time optimization instruction is generated. A target displacement error is set, and correction is stopped after the bending degree reaches the standard continuously for three times; pre-storing a medical-level support parameter library; multi-user switching is achieved through pressure feature and head contour double verification, and physical compression emergency stop is set. According to the method, through multi-source data fusion, scientific model construction and dynamic closed-loop control, the personalization and safety of pillow supporting are improved, and the method is suitable for people with sub-health cervical vertebrae and multi-user scenes.

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.

Disclosed herein are embodiments of a system and embodiments of a method for stabilizing spinal vertebrae through a skin incision. In some embodiments, the system or method can include a first screw having a first screw head, a second screw having a second screw head, and / or a third screw having a third screw head, a first tower having a distal portion, a proximal portion, and a bend between the distal portion and the proximal portion, a second tower having a distal portion, a proximal portion, and a bend between the distal portion and the proximal portion, a third tower having a distal portion and a proximal portion, the third tower configured to be removably coupled with the third screw at a distal end of the third tower, and a rod insertion device configured to rotatably advance a connection element to at least the first and second towers.