418 results about "Hip socket" patented technology

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system and method to identify, convey, and reduce the risk of hip dislocations following hip replacement surgery. Preoperative images are used to identify the pelvic tilt of a patient while the patient is in a sitting position, a standing position, and a supine position. Based on the pelvic tilt and pelvic mobility depicted in the preoperative images, the system can identify a quantitative and / or qualitative risk of hip dislocation when the patient is seated, standing, and lying. During surgery, an intraoperative image can confirm the acetabular cup orientation once implanted and the system can determine the risk of hip dislocation when patient is in the supine position. The system can also extrapolate the dislocation risk when the patient is seated and standing based on acetabular cup position and orientation depicted in the intraoperative image.

A hip joint navigation system is provided that includes a base having at least one channel disposed therethrough for receiving a pin for mounting the base to the pelvis. A mount feature is disposed on a top surface. A registration jig is configured to couple with the base and to engage anatomical landmarks. In some aspects, a patient specific jig system for hip replacement is provided including an engagement surface formed to closely mate to acetabular bone contours of a specific patient and a registration feature configured to be in a pre-determined orientation relative to an acetabulum the patient when the jig is coupled with acetabular bone contours of the specific patient. In other aspects, methods of using the systems are provided.

The invention discloses a calculation method and system for the optimal placement orientation of an acetabular cup in a total hip joint operation, and belongs to the field of surgical instruments. The calculation method comprises the steps that CT data of a patient is obtained, a three-dimensional model is constructed, point locations in the three-dimensional model are recognized, a three-dimensional coordinate system is established according to a pelvis mark point and a femoral head rotation center point, and the optimal placement orientation of the acetabular cup is calculated; and determining the initial position of femoral motion according to the femoral head rotation center point and the femoral mark point. And drawing a space femoral neck movement range according to the femoral form and a preset hip joint movement range. The centroid of the curved surface is calculated based on the space femoral neck movement range, the rotation center point of the femoral head serves as the starting point and extends towards the centroid to form a ray, and the orientation of the ray in three-dimensional coordinates serves as the optimal placement orientation of the acetabular cup. According to the method, the individualized thighbone shape and the joint movement range of a patient are considered, the optimal acetabulum orientation is given according to different prostheses, and a definite operation target and guidance are given to an operator, so that the dislocation risk after hip replacement is reduced, and the acetabular cup placement reliability is greatly improved.

The invention discloses a hip joint CT image segmentation method based on an improved nnUNet model, and the method comprises the steps: making a data set containing a hip joint CT image and a corresponding expert annotation segmentation mask through a public hip joint CT image data set, and carrying out the preprocessing of the data set, dividing the preprocessed data set to obtain a training set, a verification set and a test set; the training set is input into an improved nnUNet model for training, a model with the optimal performance is obtained, and improvement comprises the steps that a convolution attention module is introduced into jump connection between an encoder and a decoder, and meanwhile an original loss function is replaced with Hausdorff distance loss; and deploying the optimal model to a reasoning environment, reasoning the test image, and outputting a segmentation mask containing the thighbone and acetabulum structure. According to the method, the recognition capability of the complex structure area is improved while high precision is kept, and the method has good universality and practical value.

The invention provides a joint reconstruction full-dimensional operation planning method, system and device based on anatomy biomechanical kinematics and a computer readable storage medium. The method comprises the following steps: acquiring a hip joint CT image of a patient; performing three-dimensional reconstruction based on the hip joint CT image to obtain a hip joint three-dimensional model; performing preoperative planning based on the hip joint three-dimensional model to obtain an initial preoperative planning scheme; after a simulation operation is carried out according to the initial preoperative planning scheme, postoperative motion simulation is carried out on the hip joint femur and the hip joint pelvis, and whether the corresponding normal joint motion range can be reached or not through various motion simulation is judged; and if at least one motion simulation cannot reach the corresponding normal joint motion range, adjusting the initial preoperative planning scheme to obtain a final preoperative planning scheme. According to the embodiment of the invention, preoperative planning can be more accurately carried out.

The invention relates to the technical field of medical instruments, and discloses an angle-adjustable artificial hip joint prosthesis structure which comprises a thighbone connecting assembly, an acetabulum connecting assembly and a movable part movably connected between the thighbone connecting assembly and the acetabulum connecting assembly. The thighbone connecting assembly comprises a first connecting unit fixedly connected with the movable part, a thighbone stem detachably connected to the lower end of the first connecting unit, and a connecting screw fixedly connected to the upper end of the thighbone stem and in threaded connection with the first connecting unit. The acetabulum connecting assembly comprises a second connecting unit fixedly connected with the movable part and an acetabulum fixedly connected to the second connecting unit. Stable rotating connection is achieved through the double-shaft moving part, and a traditional easily-abraded spherical surface structure is replaced; the locking assembly is matched to realize personalized angle adjustment and locking; the femoral stem can be detached and replaced, and adaptability is improved; the surface composite coating promotes osseointegration and improves biocompatibility, the overall structure stability is high, adaptability is high, and postoperative recovery is fast.

The invention relates to a hip joint prosthesis peripheral fracture steel plate cable binding and fixing device which comprises a head portion at the near end and a body portion at the far end, and the head portion and the body portion are integrally arranged. The inner surfaces of the head part and the body part are arc-shaped curved surfaces which are tightly attached to the outer surface of the thighbone of a human body; the head is of an anatomical structure matched with the physiological appearance of the outer side face of the greater trochanter of the femur. The body part is of an anatomical structure matched with the physiological shape of a thighbone body at the proximal end of the thighbone; at least one clamping hook is arranged at the near end of the head part, and the clamping hook is in an anatomical radian shape attached to the outer side of the top end of the major trochanter; and the body part is provided with a plurality of lock hole structures. The device is placed on the outer side face of the femur with the vertex of the greater trochanter as a mark; the device is suitable for patients who fail in internal fixation in a proximal femur fracture operation and need revision and suffer from fracture around a femur prosthesis after a joint replacement operation, at least one clamping hook is specially arranged at the proximal end of the head, a fracture block can be grabbed through the clamping hook, and reduction failure is avoided.

The invention discloses a lower limb exoskeleton control system and method based on phase recognition and model prediction control. The system comprises a kinematics modeling module, a gait database module, a data processing and feature extraction module, a gait phase recognition module, a dynamics modeling module, a model prediction controller and an actuator control unit. By recognizing the gait phase and dynamically adjusting and controlling the target, precise assistance of the natural gait of the wearer is achieved. The system calculates the trajectory of the ankle joint relative to the hip joint in real time based on a kinematic model, and constructs a database in combination with gait data collected under multiple working conditions to provide an expected trajectory and reference parameters for control. In the dynamic modeling process, motor driving torque and man-machine interaction torque are introduced, a system dynamic model is established in a unified mode, and control characteristics under different gait phases are reflected.

The invention provides a multi-disease artificial intelligence preoperative planning system for the whole orthopedics department, and the system comprises an importing module which is used for importing medical image data; the three-dimensional reconstruction module is used for establishing a corresponding three-dimensional image model according to the medical image data; the skeleton segmentation module is used for segmenting skeletons in the medical image data; and at least three of the following modules: a hip joint simulation module; a knee joint simulation module; a spine joint simulation module; a sports medicine simulation module; and a trauma operation simulation module. According to the pre-operation planning system, the multiple operation simulation modules are arranged and correspond to different types of orthopedic operations, and therefore the coverage range of the pre-operation planning system is greatly enlarged.

The invention provides a multi-disease artificial intelligence surgical robot system for the whole orthopedics department, and the system comprises a total hip joint replacement module which is used for preoperative planning, intraoperative total hip joint replacement and real-time display; the total knee joint replacement module is used for preoperative planning, intraoperative total knee joint replacement and real-time display; the unicondylar joint replacement module is used for preoperative planning, intraoperative unicondylar joint replacement and real-time display; the acetabulum periphery osteotomy module is used for pre-operation planning, acetabulum periphery osteotomy during operation and real-time display; the sports medicine module is used for bone tunnel planning and ligament reconstruction and real-time display; the spine screw placement positioning navigation module is used for positioning navigation and real-time display of intraoperative spine screw placement; and the trauma positioning and navigation module is used for performing trauma positioning and navigation and real-time display during operation. According to the embodiment of the invention, the auxiliary operation can be quickly and accurately carried out.

The invention provides a femoral head necrosis recognition system and method based on deep learning, and the method comprises the steps: obtaining a multi-mode magnetic resonance image of a hip joint of an examined person, and the multi-mode magnetic resonance image comprises a magnetic resonance image formed by a plurality of magnetic resonance scanning sequences; loading a pre-trained image segmentation model to identify a femoral head and an acetabulum in the hip joint of the multi-modal magnetic resonance image, and segmenting the femoral head and the acetabulum to obtain a femoral head segmentation image of the magnetic resonance image of each scanning sequence; performing enhancement processing on each femoral head segmentation image; extracting femoral head feature data of each femoral head segmentation image type and forming splicing feature data; and loading a pre-trained necrosis recognition model to process the spliced feature data to obtain femoral head necrosis recognition results under each magnetic resonance scanning sequence and output the femoral head necrosis recognition results. The diagnosis accuracy can be improved, and the misdiagnosis rate is reduced.

The present invention relates to a stretcher for transporting the wounded, and in particular to a deformable stretcher. The stretcher comprises an upper stretcher section, a middle stretcher section, a lower stretcher section and a rotation drive mechanism, wherein the upper stretcher section, the middle stretcher section and the lower stretcher section are rotationally connected in sequence; the upper section rotation axis of the upper stretcher section is located on the axis of the wounded's hip joint; the rotation drive mechanism is arranged on the middle stretcher section and connected to the upper stretcher section and the lower stretcher section, and the rotation drive mechanism is used to drive the upper stretcher section and the lower stretcher section to rotate relative to the middle stretcher section. The present invention can achieve that when the stretcher is deformed, the torso, head and thigh of the spinal patient are always effectively fastened, thereby avoiding secondary injuries to the spinal patient during transportation.

The simulation experiment device for the frictional wear behavior of the surface of the artificial hip joint sample comprises a rack, a hydraulic loading mechanism, a hip joint simulation opposite-grinding pair mechanism, a composite motion mechanism, a lubricating liquid adding mechanism and an abrasive dust adding mechanism, and the simplification of the opposite-grinding pair structure and the simulation of an opposite-grinding track are both considered; a lubricating liquid adding mechanism and an abrasive dust adding mechanism are introduced in combination with actual conditions, artificial hip joint friction wear simulation under different lubricating conditions and abrasive dust forming conditions can be better simulated, and the artificial hip joint friction wear simulation device is more suitable for artificial joint material performance evaluation and selection under laboratory conditions.

The invention provides a numerical control machine tool spindle vibration real-time monitoring and automatic restraining method which comprises the steps that spindle vibration parameters of a titanium alloy artificial hip joint femoral stem bionic structure in the numerical control machine tool machining process are obtained, the vibration parameters comprise the vibration frequency and the vibration amplitude, and meanwhile porosity distribution information of a machining area is collected; according to the porosity distribution information, the processing area is divided into a surface layer loose bone structure area and a deep layer compact bone structure area, vibration parameters of different areas in the processing process are extracted respectively, and the mapping relation between the vibration parameters and porosity distribution is established; and according to the vibration parameter change rule of the deep compact bone structure area, a collaborative change model of the vibration parameters and the cutting state is established, and the vibration trend of the main shaft during machining in the low-porosity area is predicted and obtained.

The invention discloses a hip replacement lower limb equal-length control system and method based on individualized three-dimensional modeling. The hip replacement lower limb equal-length control system comprises a data preprocessing module, a medical image processing module, a dynamic implantation simulation module, a biomechanical analysis module, a guide plate generation module and a postoperative evaluation module. The method comprises the following steps: acquiring bilateral lower limb CT data and carrying out multi-modal registration; segmenting a skeleton structure by using a deep learning model, and constructing a three-dimensional model; reconstructing a complete sphere through affected side femoral head multi-plane fitting, and determining a target femoral head center in combination with uninjured side mirror image data; dynamically adjusting the space posture of the prosthesis to enable the center of the prosthesis head to coincide with the center of the target; performing finite element analysis to optimize stress distribution; and generating a 3D printing file of the individualized osteotomy guide plate and the positioning pointer. According to the method, preoperative accurate planning, intraoperative real-time control and postoperative quantitative evaluation are achieved, the operation precision is effectively improved, and complications of unequal lengths of lower limbs are avoided.

A total hip arthroplasty system includes a medullary nail for insertion into a femoral canal of the femur, straight medullary nail with longitudinal axis, screw holes perpendicular to the longitudinal axis, and a hole having a transverse axis. The system also includes a bone anchor having a threaded opening for a cut-off femoral neck, a neck screw having a seat for the femoral head and a threaded shaft, a femoral head, and an acetabular cup assembly. A jig is provided for implanting the system and includes a guide that orients relative to the nail, attachment hardware, a rail adapted to extend parallel to the transverse axis of the nail, and a second guide slidably displaceable along the rail. The system provides significant adjustability and retains maximum bone for the possibility of revision.

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

The invention provides a hip joint body surface recognition method based on double-model fusion, and the method specifically comprises the following steps: S1, constructing a diversified image data set containing the key features of the body surface of a newborn for a hip joint ultrasonic examination scene; s2, a network structure of a YOLOv8-Tiny target detection model and a network structure of an OpenPose human body posture estimation model are improved; s3, respectively training the improved YOLOv8-Tiny target detection model and the improved OpenPose human body posture estimation model by utilizing the marked training set, and obtaining an optimal training model parameter; and through double-model joint reasoning, feature extraction and position prediction are performed on an input image, output results of the two models are fused in combination with geometrical relationship constraint and a confidence coefficient weighting strategy, and finally, high-precision recognition coordinates of the body surface of the hip joint of the newborn are output. According to the method, a more accurate and reliable identification result can be provided in real time under the condition of relatively low computing resources, and the detection efficiency and precision are remarkably improved.

The present invention addresses the problem of providing a garment that restrains the outward rotation of a lower leg which is likely to occur when walking and prevents the twist of a lower limb when squatting down.　The problem has been solved by a garment that comprises a cloth for a hip joint section including a belt-like first strongly tightening part having an upper end as a waist part and passing through a region corresponding to the closest downside of the great trochanter and having the inside of the thigh as a lower end, and a second strongly tightening part having an upper end as a waist part and passing through the front surface of the hip joint and passing through the rear surface of the thigh from a region corresponding to the downside of the great trochanter and having the inside of the thigh as a lower end and / or a cloth for a knee joint section including a belt-shaped third tightening part from the downside of the tuberosity of the tibia to the vicinity of the tuberosity of the tibia, the lateral epicondyle of the femur and the inner aspect of the thigh upward of the rear side of the knee joint, and a belt-shaped fourth tightening part comprising a linear first section from the downside of the splint bone to the lateral epicondyle of the femur and a linear second section from the lateral epicondyle of the femur to the inner aspect of the thigh upward of the lateral epicondyle of the femur.

The invention discloses a child developmental hip joint dysplasia auxiliary diagnosis system based on deep learning. The system comprises a trained instance segmentation model and a feature point positioning model. The instance segmentation model is used for segmenting double-side closed pores and ilium from the pelvis image of the child; the feature point positioning model is used for accurately positioning eight hip joint feature points from the pelvis image of the child; the diagnosis method comprises the following steps: inputting a to-be-diagnosed pelvic image of a child into an instance segmentation model, segmenting double-side closed pores and ilium, and obtaining the maximum transverse diameter and area of the closed pores and ilium and the rotation index and area ratio of the closed pores and ilium so as to judge the symmetry of the pelvic image; if the pelvis image is judged to be symmetrical, the quality control standard is met; and after the quality control process is finished, the images or all the images meeting the quality control standard are selected to be sent to a feature point positioning model for feature point detection and IHDI classification. According to the invention, rapid and accurate image quality control and grading diagnosis of children's developmental dysplasia of hip joints can be realized.

The invention provides a hip joint prosthesis which comprises an acetabular cup provided with a containing cavity, the acetabular cup is provided with a first magnetic part and a limiting ring groove, and the limiting ring groove is communicated with the containing cavity; the ball head is rotatably arranged in the accommodating cavity; the clamping ring is arranged outside the equator part of the ball head in a sleeving mode, the ball head can swing relative to the clamping ring, a second magnetic piece is arranged on the clamping ring, the second magnetic piece is matched with the first magnetic piece in a magnetic attraction mode so that the ball head can be connected with the acetabular cup, at least part of the clamping ring swings in the limiting ring groove along with the ball head, and the clamping ring can be matched with the side wall of the limiting ring groove in a limiting mode; and the femoral stem is fixedly connected with the ball head. According to the technical scheme, the problem that in the prior art, the movement range of a hip joint prosthesis is insufficient, and the joint flexibility is affected is effectively solved.

A hip implant system includes an artificial acetabular cup and an artificial acetabular liner. The liner includes or consists of a metal or an alloy, and is coated at least in sections with a ceramic coating.

The invention discloses a back recognition method and device based on a human body image, electronic equipment, a storage medium and a massage robot. The method comprises the steps of determining human body key points in a human body image, and determining a human body region in the human body image according to the human body key points; determining a shoulder boundary point according to the shoulder key point and a first connecting line of the neck key point and the hip joint key point; determining an armpit point according to an included angle formed between the shoulder key point and a connecting line between the elbow key point and the hipbone key point and a distance between the shoulder key point and the hipbone key point; determining a chest point and a hip point according to the shoulder key points, the hipbone key points, the armpit points and the first connecting line; and determining a back area in the human body area according to the shoulder boundary point, the armpit point, the chest point and the hip point. By using the scheme provided by the invention, the back area can be simply and efficiently determined in the human body image, and the determined back area is high in precision.

An acetabular prosthesis (100) for use in hip arthroplasty surgery includes an acetabular cup cage (102) assembly including an outer cup cage (110) and an inner cup cage (210). The outer cup cage includes a hemispherical cup (112) and a mounting flange (114). Similarly, the inner cup cage also includes a hemispherical cup (212) and a corresponding mounting flange (214). The hemispherical cups of the inner cup cage are sized to be received into the hemispherical cups of the outer cup cage, and the two cup cages are rotatable relative to each other to position the mounting flange into a desired position on the patient's hip bone.

The invention relates to the field of medical image processing, in particular to a cross-modal medical image alignment method based on anatomical feature one-dimensional distribution, and the method comprises the steps: obtaining a computed tomography (CT) image sequence and a magnetic resonance imaging (MRI) image sequence of a hip joint region of a patient; extracting a CT one-dimensional anatomical feature sequence representing the morphological change of the first side femoral head from the CT image sequence; extracting an MRI one-dimensional anatomical feature sequence representing the morphological change of the first side femoral head from the MRI image sequence; based on the CT one-dimensional anatomical feature sequence and the MRI one-dimensional anatomical feature sequence, a similarity alignment process is executed; wherein the similarity alignment process comprises the following steps: determining an optimal similarity alignment offset between a CT image sequence and an MRI image sequence, and aligning the MRI image sequence and the CT image sequence according to the optimal similarity alignment offset. According to the method, the cross-modal image alignment problem is subjected to dimensionality reduction into one-dimensional anatomical feature sequence matching, so that the precision, efficiency and robustness of registration are remarkably improved.

The invention relates to the field of medical equipment, and discloses an examination bed for bone mineral density determination, which comprises a bed body, a guide block, an inclined plate, a fixing mechanism and a driving mechanism. The two inclined plates are driven by the arranged driving mechanism to synchronously move in the same direction along the extension line of the V-shaped included angle, so that the positions of the inclined plates can be adjusted according to the positions of the feet of a patient, and the inclined plates are used in cooperation with the fixing mechanisms on the inclined plates; the hip joint bone mineral density measuring device can ensure that patients with different heights always keep standard body positions during hip joint bone mineral density measurement, so that the accuracy of a detection result is ensured.