143 results about "Neurosurgical Procedure" patented technology

The invention discloses an AI-based neurosurgery auxiliary robot visual positioning system, and relates to the field of visual positioning, which comprises the steps of deploying and initializing structured light scanning equipment and near-infrared imaging equipment, carrying out multi-modal image acquisition on a surgical area, and carrying out standardization processing, space-time alignment and fusion on the acquired image. A multi-modal visual acquisition and preprocessing module, a three-dimensional tissue model construction and registration module, a visual-anatomical feature recognition and extraction module, an AI auxiliary positioning and path optimization module, an intraoperative dynamic perception and feedback control module and a target position confirmation and instruction output module are constructed. According to the method, high-precision identification and dynamic modeling of a brain tissue structure are realized, real-time identification, path planning and position correction can be carried out on a key anatomical structure in an operation process, the precision, the intelligent level and the intra-operation response capability of neurosurgery operation are remarkably improved, the operation risk is effectively reduced, and the positioning reliability and the automatic control efficiency are improved.

The invention relates to the technical field of neurosurgery operation equipment, and discloses a neurosurgery operation real-time data visualization system which comprises a real-time data acquisition module, a feature construction module, a visualization processing module, a decision output module, a core processing unit, a data interface module, an instrument linkage module and the like. The real-time data acquisition module acquires multi-source physiological data and divides the multi-source physiological data into a structured data stream and a dynamic image stream; the feature construction module generates a first feature set and a second feature set respectively; the visual processing module fuses the features and then maps the features to a display mode; the decision output module calls a target visualization scheme; and the core processing unit performs logic verification to generate a final display instruction. The system can also realize the functions of data interface communication docking, instrument linkage control, instruction distribution, scene storage and the like. According to the system, real-time acquisition, intelligent processing and dynamic visualization of multi-source data are realized, and the accuracy, the safety and the efficiency of a neurosurgery operation are improved.

The invention relates to the field of data processing, and discloses a neurosurgery operation data processing method for precision medical treatment, which is used for solving the problem that mark points cannot be captured due to the fact that a navigation camera is shielded when intraoperative data is collected. The method comprises the following steps: acquiring preoperative image data, intra-operative navigation image data and spatial information of an intra-operative reference mark point, constructing a preoperative three-dimensional navigation model through the preoperative image data, obtaining a navigation coordinate system, obtaining an intra-operative image frame sequence through the intra-operative navigation image data, carrying out spatial registration, extracting intra-operative navigation information, and obtaining an intra-operative image frame sequence. The method comprises the following steps: acquiring intraoperative navigation information, judging whether occlusion occurs in an operation or not according to the intraoperative navigation information, if yes, generating missing image frame data during occlusion through a dynamic trajectory prediction model, and effectively judging the missing image frame data according to a newest instrument space pose, thereby effectively improving data integrity and coherence, improving operation data accuracy and improving operation accuracy. The operation risk is reduced.

The invention discloses a neurosurgical operation virtual simulation training system based on multi-modal data fusion, and relates to the technical field of operation simulation. The data acquisition and preprocessing module acquires data such as images and force feedback, and standardized storage is performed after filtering and registration; the multi-modal data fusion module performs weighted fusion on the data by using an attention algorithm to generate a three-dimensional model; the virtual operation scene construction module generates a high-fidelity environment through ray tracing and a physical engine; the surgical operation interaction simulation module realizes accurate interaction through positioning tracking and force feedback; the training evaluation and feedback module quantifies operation performance and provides guidance; and the system management and iteration module guarantees operation and supports data updating and optimization. According to the method, a high-reality scene is constructed through multi-modal fusion, interaction and multi-dimensional evaluation help skill improvement, dynamic difficulty and personalized paths are adaptive to different users, collaborative training and privacy data collaboration are supported, operation training standardization is promoted, and the risk of errors in an operation is reduced.

A surgical method includes, for example, tracking, via at least one camera attached to a robotic arm of a surgical robot, a surgical site of a patient, the robotic arm having a plurality of joints and a plurality of body parts, controlling the robotic arm to perform a surgical procedure at the surgical site of the patient based on the camera tracked surgical site of the patient, and wherein the tracking comprises controlling the movement of the plurality of joints and body parts of the robotic arm to maintain a line of sight of the at least one camera directed towards the surgical site of the patient.

The invention relates to the technical field of data processing, and discloses a self-adaptive anti-shake control method and system for a mechanical arm of a neurosurgical robot. The method comprises the steps that tissue contact force, intracranial pressure variation and vascular pulsation frequency are collected, jitter feature vectors are obtained through fusion of a neurosurgery special extended Kalman filtering algorithm, compensation strategy parameters are generated through a neurosurgery scene self-adaptive prediction model, a tissue protective super-distortion sliding mode controller outputs a control signal, and the tissue protective super-distortion sliding mode controller is used for controlling the tissue protective super-distortion sliding mode controller. And the intracranial constraint flexible execution mechanism is driven to realize self-adaptive anti-shake control. According to the method, by constructing the extended Kalman filtering algorithm special for neurosurgery based on multi-modal sensor fusion and the LSTM prediction model, and combining with the tissue protective super-distortion sliding mode controller, the jitter suppression precision and the adaptive adjustment capability of the neurosurgical robot in a complex intracranial environment are remarkably improved.

The invention discloses a neurosurgical operation navigation method which comprises the following steps: performing three-dimensional reconstruction according to brain image data of a patient to obtain an initial brain three-dimensional model, and planning a target operation path; obtaining a two-dimensional ultrasonic image collected by an ultrasonic tool and position information of the ultrasonic tool, and performing reconstruction to generate a three-dimensional ultrasonic image; correcting the initial brain three-dimensional model according to the three-dimensional ultrasonic image to obtain a corrected brain three-dimensional model; in the puncture operation process, real-time advancing position information and a real-time intracerebral image of the endoscope positioning guide wire tool are obtained in real time, and a navigation image is generated in combination with the corrected brain three-dimensional model; and displaying a navigation image, and indicating a position relationship between the real-time advancing position and the target surgical path, so as to navigate the surgical operation process. According to the technical scheme provided by the invention, the puncture operation process of the neurosurgery can be navigated more accurately and perfectly, and meanwhile, the influence of brain drift on the navigation accuracy can be avoided.

Non-woven graft materials for use in specialized surgical procedures such as neurosurgical procedures, methods for making the non-woven graft materials, and methods for repairing tissue such as neurological tissue using the non-woven graft materials are disclosed. More particularly, disclosed are non-woven graft materials including at least two distinct fiber compositions composed of different polymeric materials, methods for making the non-woven graft materials and methods for repairing tissue in an individual in need thereof using the non-woven graft materials.

The invention relates to the technical field of surgical navigation, in particular to a real-time magnetic resonance navigation system for neurosurgery. The system comprises an image acquisition module used for acquiring intraoperative continuous frame MRI (Magnetic Resonance Imaging) images; the dynamic region identification module is used for determining an instrument connected domain according to the boundary rule distribution condition of the connected domain and determining an operation receiving position in combination with the endpoint movement condition of continuous frames; the method comprises the following steps: determining a traction area range through local tissue edge distribution of an operated position, considering a multi-frame range dynamic change condition on a preorder, and determining an intra-operation dynamic area according to approximate distribution of the operated position; and the quality adjusting module is used for performing gradient attenuation analysis on the distribution of the intraoperative dynamic region and other regions under the multi-frame image before the current moment, and determining the transmission quality of the connected region for transmission display navigation. According to the method, an intra-operative affected area is positioned after instrument area tracking, the quality of different areas is dynamically adjusted, and the transmission quality and the real-time performance are balanced.

The invention provides an endoscope image stabilization control method, which comprises the following steps of: acquiring an original dithering image sequence and inertial data of an endoscope, fusing the original dithering image sequence and the inertial data, acquiring an initial mixed motion field, performing operation semantic segmentation on the original dithering image sequence, and acquiring a collaborative attention map in combination with a physical motion mechanism. Obtaining a space-time adaptive filtering kernel through the collaborative attention map, filtering the initial mixed motion field according to the space-time adaptive filtering kernel, obtaining a stable motion field, carrying out image deformation and interpolation synthesis processing on the stable motion field, and obtaining a stable image sequence; through the integrated technical scheme of operation semantic segmentation, dynamic image stabilization optimization and accurate jitter suppression, the problem of interference of endoscope jitter on the neurosurgery operation visual field is solved.

Non-woven graft materials for use in specialized surgical procedures such as neurosurgical procedures, methods for making the non-woven graft materials, and methods for repairing tissue such as neurological tissue using the non-woven graft materials are disclosed. More particularly, disclosed are non-woven graft materials including at least two distinct fiber compositions composed of different polymeric materials, methods for making the non-woven graft materials and methods for repairing tissue in an individual in need thereof using the non-woven graft materials.

The invention discloses a head fixator for neurosurgery and an operation method thereof, and belongs to the technical field of medical auxiliary instruments. The head fixing device is used for solving the problems that an existing head fixing device is unstable in fixing, inconvenient to adjust and poor in neck supporting. A T-shaped groove is formed in the upper end face of the T-shaped plate, the T-shaped block is slidably arranged in the T-shaped groove in the length direction of a wing plate of the T-shaped plate, the head fixing assembly is arranged in the middle of the upper end face of the wing plate of the T-shaped block, the neck supporting assembly is slidably arranged on the upper end face of a web of the T-shaped block in the length direction of the web of the T-shaped block, and the two limiting assemblies are arranged at the two ends of the wing plate of the T-shaped plate respectively. The head of a patient can be firmly fixed, the head of the patient is prevented from moving in the operation process, and the accuracy and success rate of the operation are improved. And flexible adjustment can be carried out according to head shapes, sizes and operation requirements of different patients, and the requirements of various operation scenes are met. Comfortable support is provided for the neck of a patient, and fatigue and discomfort of the neck of the patient in the operation process are reduced.

The present invention relates to an intelligent management method for neurosurgical instruments, comprising the following steps: obtaining specification parameters, performance indicators and material information of neurosurgical instruments from different manufacturers, and establishing an instrument attribute feature library; based on the instrument attribute feature vector, clustering analysis is performed on similar instruments from different manufacturers; if a temporary replacement of an instrument is required, the instrument attribute feature vector of a spare instrument is obtained from the instrument attribute feature library; if the functional matching degree of the instrument to be replaced is lower than a preset risk threshold, an instrument interchange risk reminder is issued to the doctor; after the instrument replacement is confirmed, the specification parameters of the instrument to be replaced are obtained, and compared with the specification parameters of the surgical operation specification; during the operation, the use status of the target instrument is monitored in real time, and the remaining number of uses of the target instrument is predicted. The present invention improves the accuracy and efficiency of surgical instrument replacement, reduces surgical risks, and optimizes instrument management.

The invention relates to a singular-avoiding navigation system method for a seven-axis intracranial neurosurgical robot, and belongs to the field of robotics.The method comprises the steps that a kinematics model of the seven-axis intracranial neurosurgical robot is built, and all joint parameters of the robot are determined; a Jacobian matrix of the mechanical arm is established through a differential method; the singular state of the mechanical arm is evaluated; when the robot is not located at the singular position, the joint angular velocity is obtained through a pseudo-inverse method; zero-space self-motion control is adopted to carry out limit control on the angular velocity of the joints; combining the singularity-avoiding joint angular velocity with the null-space self-motion-controlled joint angular velocity, and calculating a final joint angular velocity; and the neurosurgical robot performs surgical actions in the skull at the final joint angular velocity, so that the robot navigates to advance to a target position in the operation, and multi-modal collision monitoring is executed in trajectory planning. The method is applied to an intracranial neurosurgical operation navigation system, and the movement safety and accuracy of the surgical robot in an intracranial narrow space are improved.

The invention relates to the field of augmented reality, and particularly discloses a neurosurgery operation navigation system and method based on an augmented reality technology, which can automatically identify the current operation stage by utilizing real-time dynamic perception and understanding of an operation instrument, and take the stage information as a driving force so as to realize navigation of the neurosurgery operation. And searching in a context-visualization rule database which is pre-constructed and stores visualization rules corresponding to different operation stages, and extracting a whole set of target visualization parameter set which is most matched with the specific stage, so that the content and presentation mode of the AR navigation view are dynamically adjusted.

The invention provides a multi-modal image fusion system and method for neurosurgery, and the method comprises the steps: carrying out the rigid transformation of a multi-modal magnetic resonance image and an ultrasonic image, and obtaining a preoperative magnetic resonance image and an intraoperative ultrasonic image after preliminary alignment; inputting the preoperative magnetic resonance image and the intraoperative ultrasonic image into a pre-trained lightweight deformation registration network for deformation modeling to obtain a voxel-level dense deformation field, and determining a confidence map of deformation field region registration based on the dense deformation field; according to the confidence map, multi-scale feature fusion based on confidence weighting is carried out on the deformed preoperative multi-modal labeling information and the corresponding features of the intra-operative ultrasonic image, and a three-dimensional anatomical structure chart for real-time navigation in the neurosurgery operation is obtained. Based on the scheme, brain tissue drift can be dynamically compensated in real time in a neurosurgery operation, and multi-modal image fusion is guided based on a compensation result.

In some embodiments, apparatus and related methods relate to a skeletal body adjustment device (SBAD) with telescopically connected bodies. For example, the SBAD may include control members configured to induce relative translation between the bodies. In some embodiments, apparatus and related methods relate to a body cavity conforming shunt. As an illustrative example, the shunt may, for example, include selectively deployable contact members. The contact members may, by way of example and not limitation, be configured as anchors, sensors, and / or therapy delivery devices. In some embodiments, apparatus and related methods relate to a multi-layer bladder (MLB) selectively deployable in a body cavity. The MLB may, for example, include sensing and / or delivery components. The MLB may, for example, include control member(s) and / or pressure control(s) configured to control shape, size, and / or pressure of the MLB. In some embodiments, apparatus and related methods relate to a dynamically controlled cerebrospinal fluid (CSF) shunt system.

The invention discloses a neurosurgical patient body temperature accurate regulation and control device which comprises a central control module, a body temperature sensing module, a dynamic heat regulation and control module, an intelligent airflow module, an energy management module and a data recording and early warning module, and real-time monitoring and accurate regulation and control of the body temperature of a patient are achieved through cooperative work of all the modules. The body temperature sensing module adopts an infrared sensor array and a skin contact type sensor, the dynamic thermal regulation and control module regulates the body temperature through a micro thermopile element and a liquid circulation unit, and the intelligent airflow module provides constant-temperature airflow to assist regulation and control. The device also has a modular design, is convenient to quickly assemble and disassemble, and supports power supply of a standby battery. A data recording and early warning function ensures timely alarm when the temperature is abnormal, and safe and efficient body temperature management is provided for a patient in the operation process. The device can effectively guarantee that the body temperature of a patient is stable in the neurosurgery operation, and the operation safety and the recovery effect are improved.

Non-woven graft materials for use in specialized surgical procedures such as neurosurgical procedures, methods for making the non-woven graft materials, and methods for repairing tissue such as neurological tissue using the non-woven graft materials are disclosed. More particularly, disclosed are non-woven graft materials including at least two distinct fiber compositions composed of different polymeric materials, methods for making the non-woven graft materials and methods for repairing tissue in an individual in need thereof using the non-woven graft materials.

The invention discloses a neurosurgical operation scheme optimization method based on digital twinning and causal inference, belongs to the technical field of medical equipment and information processing, is suitable for radiofrequency thermocoagulation (RF-TC) treatment drug-refractory epilepsy (DRE) operation under the guidance of stereotactic electroencephalogram (SEEG), and comprises the following steps: constructing a patient specific calculation model (PSCM); integrating multi-modal data to establish a digital twinborn model covering anatomical geometry, organizational physical attributes, neurodynamics and radio frequency thermal coagulation multi-physics field coupling; an optimization scheme is generated based on a causal inference generative adversarial network (CI-GAN), the causal effect of candidate schemes is quantitatively evaluated through PSCM, and the curative effect and safety are optimized through adversarial training; fine adjustment of a doctor on an AI scheme is achieved through an interactive platform, a final scheme is determined by combining real-time feedback quantitative indexes of the PSCM, objective identification of an epileptic source area, precise prediction of lesion and man-machine collaborative optimization are achieved, and scientificity and feasibility of an operation scheme are improved.

The invention relates to the technical field of neurosurgical operation simulation, and provides a method for transmitting grid deformation in real time in neurosurgical operation simulation, which comprises the following steps: S1, carrying out input detection, including active interactive input for simulating left and right hand virtual surgical instrument operation and passive continuous input for simulating nervous tissue self deformation, so as to obtain collision point data; s2, positioning and extracting target vertex data based on the collision point data; s3, determining a nearest vertex based on the extracted target vertex data; s4, triggering conditions are judged, and different grid deformation modes are selected based on different triggering conditions; s5, calculating actual action point offset according to the selected grid deformation mode, and dynamically generating a deformation action point; and S6, driving neural tissue grid deformation real-time updating and physical synchronization based on the dynamically generated deformation action points. High-precision deformation simulation and low-delay tactile feedback are achieved, and the authenticity and practical operation value of neurosurgery operation training are remarkably improved.

The present application relates to the technical field of medical auxiliary equipment, in particular to a neurosurgery operation retractor device, which comprises a central adjusting seat, the side wall of the central adjusting seat is symmetrically hinged with retraction arms, the end of the retraction arms away from the central adjusting seat is hinged with a retraction plate, the side wall of the central adjusting seat is hinged with a plurality of rhombic telescopic frames, the end of the rhombic telescopic frames away from the central adjusting seat is hinged with the retraction arms, the central adjusting seat is further provided with an adapter disc, and a multi-modal fixed base is detachably connected to the adapter disc; a transmission mechanism is installed in the central adjusting seat, a pressure sensor for collecting the tension of brain tissue is installed on the transmission mechanism, a control module is signal-connected with the pressure sensor, the control module is signal-connected with the rhombic telescopic frames, the adapter disc and the transmission mechanism, and the control module is signal-connected with an electromagnetic locker for locking the rhombic telescopic frames and the transmission mechanism. The present application effectively reduces the risk of brain tissue pulling injury, frees the hands of medical staff, and simplifies the operation process.

The present application relates to a fluorescence sensing composite deep electrode, belonging to the field of medical devices, and comprising: a tube body, on the outer part of which several annular electrodes are sequentially arranged along the axial direction, each annular electrode is connected with an electrode wire, and one end of the tube body is a closed end; several optical fiber sensors are also arranged on the tube body, the optical fiber sensors include a detection end and a transmission end, and the detection end is used for detecting the fluorescence generated when a fluorescent indicator acts on metal ions during the neuron activity process; the ends of the electrode wires far away from the annular electrodes and the transmission ends of the optical fiber sensors are led out from the end of the tube body far away from the closed end. The fluorescence sensing composite deep electrode provided by the present application can collect and monitor the electroencephalogram signals, metal ion concentration and distribution in the monitoring area in real time, synchronously and in the same position in the fields of neurosurgery and cerebrospinal nerve function research, and improves the monitoring accuracy of nerve activities and the diagnosis accuracy and efficiency of the lesions of nervous system diseases.

The utility model relates to medical instrument technical field discloses a neurosurgery aspirator with electrocoagulation function, including the casing, the one side threaded connection of casing has the catheter, the surface sliding connection of catheter has the sleeve, one end of sleeve is equipped with the limiting component that limits it, the other end fixed of sleeve is equipped with the electrocoagulation electrode, one side fixed of casing is equipped with the suction tube, the top fixed of suction tube is equipped with the negative pressure pipe, one end of suction tube is equipped with the closure component that closes the negative pressure pipe, through the sleeve can attract secretion and tissue, can play the role of cleaning, and the electrocoagulation electrode can carry out electrocoagulation hemostasis to neurosurgery operation, because the surface sliding connection of sleeve and catheter, through the sliding of sleeve, can adjust the telescopic length, good flexibility, through the limiting component can limit after adjusting sleeve, can prevent its loose and fall off.

1. The name of this design product: head support. 2. Purpose of this design product: Used to support the patient's head during neurosurgery. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention relates to the field of medical treatment, and discloses a stem cell injection structure and a neurosurgery operation head frame. The device comprises an injection support, a lifting part, an injection pressing assembly, an injection driving assembly and an injector, and the lifting part and the injection pressing assembly are both in sliding connection with the injection support and are arranged at intervals; a needle cylinder of an injector is detachably fixed to the lifting piece, and a piston rod of the injector abuts against the injection downward-pressing assembly. The injection driving assembly is movably connected with the injection support, and the lifting piece and the injection pressing assembly are both connected with the injection driving assembly. When the injection driving assembly operates, the injection driving assembly drives the lifting piece and a needle cylinder of the injector to move in the direction close to the injection pressing assembly, and meanwhile drives a piston rod of the injector to synchronously move in the direction close to the lifting piece. The effect that constant-speed injection and constant-speed lifting quit are achieved at the same time is achieved, and the overall density of an injected object is uniform; the precision of the injection content is improved; the injection content can be more easily and accurately controlled; and the treatment effect is improved.

A neuronavigation system including a microelectrode array configured to be placed on a brain surface and record neural signals, the microelectrode array comprising a fiducial, and a computer system configured to register a position of the microelectrode array with respect to the brain surface based on the fiducial, receive neural signals from the microelectrode array, and generate a visualization overlaying the received neural signals on a brain image based on the registered position of the microelectrode array for display during a neurosurgical procedure. The neuronavigation system can be used in a variety of different neurosurgical applications, including implanting neural interfaces or locating particular cortical regions.

The present application relates to the field of data processing technology, and discloses a method and system for adaptive anti-shake control of a neurosurgery robot arm. The method comprises: collecting tissue contact force, intracranial pressure change, and vascular pulsation frequency, fusing the jitter feature vector through a neurosurgery-specific extended Kalman filter algorithm, generating compensation strategy parameters through a neurosurgery scene adaptive prediction model, and outputting a control signal from a tissue-protective super-twisted sliding mode controller to drive an intracranial constraint flexible actuator to achieve adaptive anti-shake control. The present application significantly improves the jitter suppression accuracy and adaptive adjustment capability of the neurosurgery robot in a complex intracranial environment by constructing a neurosurgery-specific extended Kalman filter algorithm and an LSTM prediction model based on multimodal sensor fusion, combined with a tissue-protective super-twisted sliding mode controller.

The utility model discloses a stripper. The stripper comprises a first holding part, a first extension part and a first working part, the first working part comprises a first working structure and a second working structure; one end of the first extension part is connected with the first holding part, and the other end of the first extension part is connected with the first working structure; the second working structure is parallel to the first extension part; the second working structure is arranged at the end, away from the first extension part, of the first working structure. The utility model discloses an instrument set for a neurosurgery operation. The instrument set comprises a detacher; the first cutter comprises a second holding part, a second extension part, a third working structure and a fourth working structure; one end of the second extension part is connected with the second holding part, and the other end of the second extension part is connected with the third working structure; the second cutter comprises a third holding part, a third extension part and a fifth working structure; one end of the third extension part is connected with the third holding part, and the other end of the third extension part is connected with the fifth working structure.

The present application relates to the technical field of medical auxiliary apparatus, in particular to a soft head frame fixing device for neurosurgery, which comprises a hospital bed and an adjusting frame, the bottom of the hospital bed is detachably connected with a mounting plate, the top of the adjusting frame is provided with adjusting grooves, the adjusting grooves are symmetrically and slidingly matched with adjusting plates, and the adjusting plates are both provided with clamping assemblies for rigidly clamping the two sides of the patient's head; the adjusting frame is provided with a distance adjusting assembly for driving the adjusting plates to move close to or away from each other; the top of the adjusting frame is fixedly connected with a piston box, the piston box is vertically and slidingly matched with a supporting rod, the top of the supporting rod is fixedly connected with a supporting plate, and the supporting plate is fixedly connected with an air bag. Through the design of the adjusting plate and the supporting rod, the patient's head can be clamped and adaptively supported according to the size of the patient's head at the same time, without relying on the lifting of medical staff or the self-force of the patient, so as to effectively ensure the stability of the patient's head, reduce the difficulty of fixing operation, and improve the operation efficiency.