24 results about "Real time navigation" patented technology

This invention discloses an AR-assisted puncture navigation spatial registration method and system based on environmental reference features, relating to the field of medical image navigation. The system includes an augmented reality navigation device, a permanent ceiling marker, and a temporary marker board. The augmented reality navigation device includes a binocular augmented reality camera group, a global tracking camera, a global spatial registration module, and a display module. The binocular augmented reality camera group constructs a binocular overlapping field of view, acquiring the pose information of the binocular augmented reality camera group relative to the temporary marker board during the calibration phase, and acquiring near-field images of the surgical area in real time during the surgical phase and displaying them on the display module. The global tracking camera acquires the pose information of the global tracking camera relative to the global coordinate system of the ceiling. The global spatial registration module solves the extrinsic parameter matrix between cameras and the environmental relationship matrix based on the pose information. During the surgical phase, the path planned by the imaging equipment is converted into a real-time navigation path and superimposed on the display module. This solves the complex calibration problem under non-overlapping fields of view.

The application relates to an outdoor geographical semantic retrieval enhanced navigation and search method and system, which comprises the following steps: receiving a natural language instruction, and extracting navigation target semantic elements and search target semantic elements; under the constraint of a structured index, performing beam search, and outputting the latitude and longitude and boundary information of the entity; decomposing the natural language instruction into a subtask sequence, and under the constraint of a predefined executable action and condition space, generating a structured behavior tree; calling a routing engine, generating a global topology path and a waypoint sequence based on the nearest reachable boundary point of the entity; based on the scheduling of the structured behavior tree, performing real-time navigation along the waypoint sequence; after reaching the vicinity of the target, searching for the target related to the search target semantic elements and performing clustering positioning under the constraint of a polygon boundary, obtaining a final target point and converging navigation. Compared with the prior art, the application has the advantages of high positioning accuracy and wide application scenarios.

The present application relates to the field of medical devices, in particular to a kind of inertial navigation gastric tube intubation system and method.The system includes mainframe workstation, miniature camera guiding operation tube and conventional gastric tube.Inertial navigation positioning module of mainframe workstation is matched with navigation track by real-time analysis operation tube attitude data and sensor probe;Data processing module receives contrast image generation three-dimensional dissection path model, and is converted into navigation reference track;Display screen dynamic display dissection path and real-time navigation track superimposed view and cavity image.Minisize camera guiding operation tube integrates navigation sensor, minisize camera and cold light illumination unit, and is worn in the inner cavity of conventional gastric tube.The present application solves the problem of traditional gastric tube intubation blind insertion, improves success rate and safety, shortens operation time, and reduces the requirement for patient cooperation.

The application relates to the technical field of orthopedic surgery navigation, and discloses a high-position tibial osteotomy navigation method, a system and a storage medium, and a communication method which comprises the following steps: generating a 3D bone model of a lower limb of a patient based on medical images and performing preoperative osteotomy planning; performing visual positioning system detection and spatial calibration of a surgical instrument; installing an optical marker array, collecting actual bone point cloud data, and realizing alignment of the model and the bone through a registration algorithm; in-surgery real-time calculation and display of deviation of an operation track and planning parameters; post-surgery reconstruction of a lower limb force line, and comparison and evaluation with preoperative planning and in-surgery navigation records. The system comprises a hardware execution unit and preoperative planning, calibration verification, in-surgery registration, real-time navigation and post-surgery evaluation modules. The application realizes full-process integration of preoperative accurate planning, in-surgery real-time closed-loop navigation and post-surgery quantitative evaluation, and significantly improves the precision, repeatability and predictability of clinical effects of surgery.

The application discloses a liver surgery precise navigation method and system based on a Transformer and a multi-modal point cloud registration, and solves the technical problem that a generated surgery cutting path cannot meet the core requirement of safety and precise cutting of liver surgery by using a current point cloud registration method. The method comprises the following steps: acquiring a preoperative liver point cloud and an intraoperative surgery point cloud, obtaining a 4D input tensor and a dense point cloud with weights through residual-density adaptive sampling, GeoTransformer module initial pose estimation and voxelization processing, generating a final safe surgery path and real-time navigation data by relying on a Transformer path encoder planning through Fourier neural operator field-field mapping, heterogeneous material field driven volume deformation, geometric constraint verification and closed section generation processing.

The present application proposes a system for differential recording in real-time navigation, connectable to an electrical lead having at least two electrodes, comprising: at least one electrical lead having a longitudinal axis and a distal end and at least two electrodes for recording electrical signals; a memory configured for storing a differential signal between the at least two electrodes and a reference indication of electrical signals associated with a neural tissue; a processing circuit, wherein the processing circuit: during advancement of the at least one electrical lead, computes in real-time a differential signal between electrical signals recorded from the at least two electrodes, processes the differential signal and the reference indication of electrical signals associated with the neural tissue; and computes an anatomical position of the electrical lead based on the processing, wherein the computing an anatomical position comprises estimating a proximity between at least one of the electrodes or the distal end of the electrical lead and a boundary between anatomical regions.

This invention provides an autonomous navigation system, relating to the field of intelligent navigation technology. It includes a navigation array, a read / write module, and a navigation control logic circuit. The navigation array is connected to the read / write module, and the navigation control logic circuit is connected to both the read / write module and the navigation array. The navigation control logic circuit receives target navigation information through a parallel read / write interface and generates a navigation enable signal. The read / write module writes the target navigation information into the navigation array based on the navigation enable signal. In response to the navigation enable signal being pulled high, the navigation array sequentially performs calculations on pixel circuits, annealing circuits, and propagation circuits based on the target navigation information to obtain real-time navigation results, which are then read out by the read / write module. The real-time navigation results include environmental perception results, map construction results, and path planning. This system is a fully integrated real-time autonomous navigation system that achieves low-latency autonomous navigation with high energy efficiency.

The application discloses a marker-free anti-occlusion ventricle and intracranial hematoma puncture AR navigation method and system based on monocular vision, and belongs to the technical field of medical augmented reality. The method comprises the following steps: acquiring a preoperative three-dimensional medical image model of a patient; collecting a video in real time by using a monocular camera of a consumer-level device, and constructing a three-dimensional model of the body surface of the patient by using a three-dimensional reconstruction algorithm such as neural rendering; eliminating visual interference such as a surgical drape and strong light reflection by using an optical correction technology; adopting a time sequence hybrid registration mechanism comprising a global locking period, an inertial maintenance period and a local correction period, so as to accurately align the reconstructed model with the image model, and realize continuous tracking when the visual signal is lost; and finally generating an augmented reality view for navigation. The method does not need an external tracker and a surgical marker, and can realize high-precision, anti-occlusion and real-time navigation by using a portable device, so that the cost and use threshold of surgical navigation are significantly reduced, and the method has a very high clinical application value.

This invention relates to the field of medical auxiliary technology, and more particularly to an image-guided rectal puncture and irrigation method based on fluorescence contrast enhancement. The method includes: firstly, using artificial intelligence to segment preoperative pelvic magnetic resonance images to generate a three-dimensional model containing the target lesion and key anatomical structures, and planning a safe puncture path accordingly; during the procedure, using elastic registration technology to spatially align real-time ultrasound images with the three-dimensional model to generate a fused image for real-time navigation of the puncture instrument to the target lesion; subsequently, injecting a fluorescent contrast agent into the lesion, and confirming the true extent of the lesion through fluorescence imaging; finally, while irrigating the lesion, monitoring the attenuation of the fluorescence signal intensity in real time, and objectively determining the irrigation endpoint when the signal intensity drops to the background noise level and the change curve enters a plateau phase. This invention achieves precision and objectivity throughout the entire process, from preoperative planning to intraoperative navigation and efficacy verification.

The invention discloses a marker-based augmented reality intelligent inspection method for a power distribution station, and the method comprises the steps: building a 3D map of a power distribution station house through three-dimensional scanning or BIM modeling, building a floating point map through combining with an AR identity marker attached to equipment, and achieving the one-to-one binding of virtual information and physical positions of the equipment; during routing inspection, the AR equipment provides real-time navigation through double-map fusion positioning, supports multi-mode data entry of keys, voice and the like, and completes high-speed real-time processing of'acquisition-detection-preprocessing-recognition 'of video images through a built-in concurrent modular image recognition system. According to the system, MobileNetV3 is used as a backbone network, visual features, sensor data and equipment logs are fused to realize multi-modal identification, and AR mobile terminal resource limitation is adapted through buffer queue intelligent scheduling and computing resource optimization. According to the invention, the problems of low efficiency, inaccurate data, high safety risk and high training cost of traditional inspection are solved, standardization of the inspection process, automation of data acquisition and real-time state feedback are realized, the inspection efficiency and the intelligent level of operation and maintenance are greatly improved, the comprehensive cost is reduced, and the method is suitable for daily inspection and state management of key equipment of various power distribution stations.

The application provides a fluorescence real-time navigation cryogenic focused ion beam processing device and method. The fluorescence real-time navigation cryogenic focused ion beam processing device comprises: a sample fixing assembly for carrying and moving a cryogenic sample containing a fluorescent marker; an electron gun for electron beam imaging of the cryogenic sample; an ion gun for ion beam processing of the cryogenic sample; and a fluorescence imaging system for fluorescence imaging of the cryogenic sample emitting an excitation light beam to monitor the processing of the ion beam in real time through a fluorescence image. The processing device optimizes the position of the fluorescence imaging system so that the sample fixing assembly does not interfere with the fluorescence imaging system, and major redesign of the chamber and sample fixing assembly is not required due to interference problems, thereby maximizing compatibility with existing mainstream cryogenic dual-beam scanning electron microscope structures, avoiding high-cost, complex and potentially unstable modifications.

This application relates to the field of battery management technology, and in particular to a thermal management method and apparatus for a power battery. The method includes: acquiring driving information and road information corresponding to the current navigation path of a target vehicle, and calculating the total heat generation of the target vehicle based on the driving information and road information; calculating the power battery temperature at the end of the current navigation path based on the total heat generation; generating thermal management control actions for the power battery of the target vehicle on the current navigation path based on the driving information and the power battery temperature, and controlling the target vehicle to execute the thermal management control actions. This solves the problems in related technologies, such as the inability of fixed temperature threshold-based on-off control to fully consider vehicle travel conditions, potentially leading to energy waste; the computational complexity of prediction-based control strategies, high computing power requirements, and difficulties in engineering implementation; and the high dependence on continuously available real-time navigation signals, limiting their application scenarios.

The application discloses a kind of real-time registration system and method of surgical instrument based on position sensing pattern, for real-time registration of surgical instrument in surgery and preoperative preparation stage.The real-time registration system includes: position sensing pattern, for assisting positioning surgical instrument;Visual positioning system, for detecting the position sensing pattern on surgical instrument;Control system, for the real-time registration of position sensing pattern feature information three-dimensional model and the acquisition and real-time positioning of surgical instrument tip information.Utilize the present application technology, position sensing pattern three-dimensional point cloud model can be registered in real time, and the pose of surgical instrument tip is fitted in real time, and the result is displayed on the display screen of control system, realizes real-time registration and real-time positioning, and provides convenient and accurate real-time navigation for clinical surgery.

This invention discloses an AI-powered intelligent embolization assistance system for arteriovenous malformations of the brain and spinal cord. By integrating an AI-powered intelligent embolization assistance subsystem and an image-guided platform, it matches 3D-DSA angiography images with internally stored hydrodynamic models of different embolization materials to obtain a three-dimensional vascular architecture map of the lesion and surrounding vessels. Through AI calculation, it completes virtual path planning, simulating the embolization path, three-dimensional course, and embolization range. Based on this, it provides real-time navigation of the microcatheter during EVT, intelligently following its path. After the procedure, it re-acquires 3D-DSA angiography images, performs multimodal image fusion, and assesses the embolization status, the three-dimensional relationship with surrounding structures, and potential related complications. This system enables preoperative planning and simulation of the interventional embolization path and range, and real-time navigation, tracking, and assessment of the lesion during the procedure, effectively improving the efficacy of EVT.

This invention discloses a method for innovation reconstruction-assisted integrated navigation in a denied environment, comprising the following steps: Step 1, information acquisition; Step 2, innovation statistics; Step 3, GNSS signal loss monitoring; Step 4, innovation reconstruction; Step 5, Kalman filter update based on reconstructed innovation; Step 6, switching after GNSS signal recovery. This invention addresses short-term GNSS loss by using reconstructed innovation generated from the mean and variance of historical innovations to replace the missing real innovations and incorporate them into a modified Kalman filter, maintaining the correction of INS navigation parameters. It does not rely on high-precision inertial devices, has low computational load and resource consumption, and is suitable for real-time navigation scenarios such as vehicle and aviation applications. It overcomes the shortcomings of high-precision devices being costly and AI algorithms having poor real-time performance. Furthermore, it does not require modification of existing GNSS receivers or INS hardware, nor does it require deep hardware integration or ultra-tightly coupled complex signal processing, facilitating upgrades and promotion based on existing systems.

The present application relates to the technical field of medical image navigation, in particular to a lung nodule four-dimensional optical flow field real-time navigation system and method thereof, the system comprising a data acquisition module, a micro-region optical flow calculation module, a high-dimensional tensor analysis module, a nonlinear dynamics prediction module, a navigation fusion module and a surgical navigation module, the data acquisition module acquiring a CBCT image sequence and respiratory monitoring point motion information; the micro-region optical flow calculation module establishing a dynamic mapping relationship based on differential topology principles, generating a lung tissue motion displacement field; the high-dimensional tensor analysis module constructing a five-dimensional tensor structure and performing singular value optimization, extracting essential motion patterns; the nonlinear dynamics prediction module establishing a chaotic system model of respiratory motion, predicting future motion trajectories of lung nodules; the navigation fusion module integrating multi-modal data to generate a four-dimensional optical flow field; the surgical navigation module providing accurate real-time navigation information, the present application improving navigation accuracy to 1-3mm and being able to predict lung nodule motion trajectories within 2 seconds in the future.

The application discloses a thyroid cancer lateral neck lymph node metastasis endoscope-assisted modified Miccoli precise treatment system, and the system is operated through the following method, the method comprises the following steps: constructing a patient individualized three-dimensional anatomical model through preoperative multi-modal image fusion, and extracting the spatial topological relationship of the cervical sheath, accessory nerve, cervical plexus branch and lymphatic drainage path; planning a minimally invasive access path based on the three-dimensional anatomical model, and setting a double-channel puncture point at the posterior edge of the sternocleidomastoid muscle and 2 cm above the clavicle, which is respectively used for inserting a 30° oblique vision endoscope and a variable-angle ultrasonic aspirator; collecting tissue displacement data in real time through an electromagnetic navigation probe during the operation, and dynamically registering the preoperative model to generate a corrected navigation guide map; and the application aims to solve the problems of insufficient cleaning range, unclear anatomical level, limited operation space and disconnection between intraoperative real-time navigation and postoperative verification of the traditional Miccoli operation in the treatment of lateral neck (II-IV area) lymph node metastasis.

The application provides an AGV positioning and navigation method, which comprises the following steps: rotating a radar navigator to a position to start performing a detection operation, moving an AGV in a natural navigation mode, and adjusting the navigation mode according to detection data of a navigation device; if a navigation matching rate of a current position detected by the radar navigator when the radar navigator is located at the current position is lower than a trigger threshold, rotating the radar navigator transversely to a new detection position, and switching the AGV to move in an inertial navigation mode; otherwise, keeping the radar navigator at the current position, and keeping the AGV to move in the natural navigation mode; rotating the radar navigator transversely and detecting simultaneously to obtain a real-time navigation matching rate, stopping the radar navigator when the navigation matching rate is not lower than the trigger threshold, and switching the AGV to move in the natural navigation mode. The AGV positioning and navigation method provided by the application uses a radar navigator which can rotate 360 degrees around the AGV body, so that the navigation device can keep obtaining a higher navigation matching rate and the radar navigator can be prevented from being shielded.

This invention discloses a method and system for vascular ultrasound-assisted guidance based on coronary interventional therapy images, belonging to the field of vascular ultrasound-assisted guidance technology. The method includes image acquisition, data registration, quantitative analysis, preoperative planning, and intraoperative navigation. This method constructs a multimodal temporal and spatial alignment framework by simultaneously acquiring DSA angiography image sequences, IVUS image data, ECG signals, and respiratory motion signals. It then sequentially performs cardiac cycle correction, respiratory displacement correction, IVUS-DSA three-dimensional spatial registration, lesion structure segmentation and quantification, digital twin-driven preoperative planning, and intraoperative dynamic correction and real-time navigation integrating electromagnetic positioning and fiber optic shape sensing. This invention significantly improves the accuracy of device positioning, the reliability of plaque assessment, and the scientific nature of stent implantation planning in coronary interventional therapy, and can effectively reduce the incidence of complications such as dissection, perforation, or poor apposition. It has good clinical applicability and system integration potential.

This application discloses a positioning and navigation method, apparatus, device, storage medium, and computer program product to solve the problem that existing positioning and navigation schemes cannot provide accurate real-time navigation guidance to users in complex environments when a preset map is lacking. The method includes: performing feature recognition on at least two perspective 2D images corresponding to a target object to determine a target region in the 2D images; performing semantic segmentation on the target region to obtain a semantic segmentation mask corresponding to the target region; generating a 3D model corresponding to the target object based on the semantic segmentation mask and the 2D images; determining the pose information of the device to be navigated within the 3D model based on environmental video and motion data collected by the device to be navigated; generating a navigation path based on the position information of the target region and the pose information; and sending the navigation path to the device to be navigated for navigation guidance.