16 results about "Image guided navigation" patented technology

The present invention relates to an image navigation method and system for a surgical microscope. The method includes: first, after fixing a surgical object and markers, radiographing the surgical object and markers to obtain a three-dimensional digital image; then, positioning the markers in the three-dimensional digital image to form a three-dimensional coordinate system and obtain the relative position between the target lesion and the markers; then, plotting a surgical instrument entry point and path guidance points on the three-dimensional digital image to form a navigation path, and transmitting the navigation path data to a media signal processing device; then, positioning the target lesion and markers within the field of view of the surgical microscope and transmitting the image within the field of view of the surgical microscope to the media signal processing device; the media signal processing device recognizing the markers to form a three-dimensional space corresponding to the image within the field of view of the surgical microscope; and real-time navigation is achieved by superimposing the navigation path image at predetermined coordinates on the image within the field of view of the surgical microscope in the three-dimensional space. The system includes a surgical microscope, a media signal processing device, and markers, and the surgical microscope includes a microscope tube and an image enhancement device. By accurately positioning the surgical instrument entry point and path guidance point, the present invention can guide a doctor or related personnel in completing dental treatment and surgery, thereby improving the precision of surgery.

The invention belongs to the technical field of image processing, and discloses a hepatobiliary calculus surgery image navigation and positioning system, which is configured to realize non-rigid registration of adaptive multi-stage fusion, dynamically adjust registration weights of surface and deep features according to environmental changes in surgery, and realize image navigation and positioning of the hepatobiliary calculus surgery. It is ensured that a continuous high-precision dynamic three-dimensional model is provided in the whole process; predictive virtual tactile feedback based on biomechanical simulation is realized, and tissue tension perception and damage early warning beyond real tactile sense are provided for doctors by calculating stress and strain of a tissue model in real time; the intelligent quantification of the stone residual risk based on multi-source information fusion is realized, and the stone residual risk is quantified and visualized with high confidence by fusing the surgical operation history and the intraoperative fluorescence function image. According to the invention, a closed-loop navigation platform integrating high-precision environment perception, predictive process control and intelligent result quality control is constructed, and the precision and safety of auxiliary tools for minimally invasive surgery of hepatic duct calculi are improved.

The present application discloses an image navigation method and system for a surgical microscope. The method comprises: fixing a surgical subject and a marker, and performing radiation imaging on the surgical subject and the marker to obtain a three-dimensional structural digital image; locating the marker via the image, establishing a coordinate system, and obtaining relative locations of a target affected part and the marker; setting an entry point and a path guide point of an instrument on the image to generate a navigation path, and transmitting data to a media signal processing apparatus; placing the target affected part and the marker in a field of view of a microscope, and transmitting an image in the field of view to the media signal processing apparatus; identifying, by the media signal processing apparatus, the marker to generate a matched three-dimensional space; and superposing a path image of corresponding coordinates on the image in the field of view according to the three-dimensional space to implement real-time navigation. The system comprises the microscope, the media signal processing apparatus, and the marker. The microscope comprises a microscope body and an image augmentation apparatus. The present application can precisely locate an entry point and an entry path of a surgical instrument, to guide a doctor or a related operator to complete a dental diagnosis and treatment surgery, thus improving the surgical precision.

The application relates to the field of embodied intelligence and autonomous navigation, in particular to a wheelchair navigation method and device, equipment and medium, wherein the method comprises the following steps: acquiring a current environment image, a navigation instruction and a historical environment image of a wheelchair; extracting an environment structure feature of the current environment image, and determining whether a target environment is an indoor environment or an outdoor environment based on the environment structure feature; when the target environment is the indoor environment, generating a bird's-eye view feature map according to the current environment image, and combining the navigation instruction to navigate; when the target environment is the outdoor environment, predicting a three-dimensional point cloud, a relative pose and a driving trajectory based on the current environment image and the historical environment image, and combining the navigation instruction to navigate. Therefore, the problems of poor unified representation capability of perception, mapping and decision, insufficient spatial geometric expression and real-time performance, and lack of continuous environment updating and memory capability in the related art are solved.

The present application discloses an image navigation method and system for a surgical microscope. The method comprises: fixing a surgical subject and a marker, and performing radiation imaging on the surgical subject and the marker to obtain a three-dimensional structural digital image; locating the marker via the image, establishing a coordinate system, and obtaining relative locations of a target affected part and the marker; setting an entry point and a path guide point of an instrument on the image to generate a navigation path, and transmitting data to a media signal processing apparatus; placing the target affected part and the marker in a field of view of a microscope, and transmitting an image in the field of view to the media signal processing apparatus; identifying, by the media signal processing apparatus, the marker to generate a matched three-dimensional space; and superposing a path image of corresponding coordinates on the image in the field of view according to the three-dimensional space to implement real-time navigation. The system comprises the microscope, the media signal processing apparatus, and the marker. The microscope comprises a microscope body and an image augmentation apparatus. The present application can precisely locate an entry point and an entry path of a surgical instrument, to guide a doctor or a related operator to complete a dental diagnosis and treatment surgery, thus improving the surgical precision.

The invention discloses an IVUS-based guide wire-free blood vessel center line identification and navigation method, and relates to the technical field of blood vessel intervention and image navigation. The method comprises the following steps: arranging an IVUS transducer at the front end of an instrument, and synchronously obtaining an IVUS frame sequence and a probe pose; through cavity wall segmentation, center point extraction and time sequence-space fusion processing, a three-dimensional center line of the main blood vessel is constructed, and a safety envelope is generated; for a branch artery, branch super-selection navigation is realized through candidate sector detection, direction estimation and center line generation and splicing; meanwhile, a mismatch rollback and failure protection mechanism is set, so that navigation safety is ensured; the virtual center line is used for replacing a solid guide wire, the risk that blood vessels are punctured and mistakenly enter a false cavity is reduced, the radiography frequency and radiation exposure are reduced, the operation time is shortened, and the method is suitable for complex intracavity treatment scenes of aorta trunks and branches.

A system for MRI-guiding of a cranial drill for drilling a burr hole into a skull of a patient in vivo. The system comprises an MRl-compatible controller configured to send actuator commands and an MRI-compatible cranial drill system adapted to be secured to, or proximate to, the head of the patient. The cranial drill system includes a pressure sensor and is adapted to receive the actuator commands and send position data and force feedback from the pressure sensor to the controller. A fiber optic cable is connected between the controller and navigation software. The navigation software is configured for transmitting scanner control signals to the MRI scanner and receiving images generated by the MRI scanner for transmission to a display output for receiving electrical signals and for displaying corresponding images. The navigation software is adapted to receive commands based on the images.

The invention relates to a ray tracing image rapid rendering method for landmark matching navigation. According to the method, a ray tracing principle is adopted, and rendered images, used for image matching, of the detector in the lunar landing process can be generated in real time through the steps of DEM topographic data formatting processing, generation of rays under the lunar consolidation system from a camera, rapid intersection of the rays under the lunar consolidation system, gray level assignment through a Lambert model and the like. Compared with a traditional rasterization image rendering method, the method can effectively improve the image rendering precision and quality, and avoids the problem of shadow solution of a rasterization method. The method can be applied to the generation of the rendered image in a deep space exploration landmark image navigation process, and meets the requirements of landmark image navigation on the reliability and real-time performance of the rendered image.

In some embodiments, the invention relates to a method and a system for an image guided navigation of a trackable instrument, wherein a computation unit that is configured for generating a visual representation of the instrument together with a visual representation of tomographic image data so as to visualize the instrument in the visual representation of tomographic image data on a display, determining a distance between the instrument distal end and the target region and / or the target object, determining if the determined distance is less than a predetermined threshold distance, and changing the visual representation of the instrument together with a visual representation of tomographic image data in response to determining that the determined distance is less than the predetermined threshold distance.

A computer-implemented medical method for surface matching registration of a patient (O) in image guided navigation comprises the steps of obtaining (81) registration data (Dr) of a surface of a patient (O), wherein the registration data (Dr) comprises a plurality of registered points (P), determining (S2), for each of the plurality of points (P) a matching weight (W) based on at least one quality criteria value (Q1, Q2, Q3), wherein the matching weight (W) reflects a quality of the respective point (P) and performing (S3) a matching algorithm between image data (Di) of at least part of the patient (O) and the registration data (Dr), using the matching weight (W) of each of the plurality of points (P), thereby determining a matching solution (Ms). Thus, for each point a quality can be determined that is considered in the matching algorithm. In other words, the matching weight (W) leads to a more accurate intraoperatively acquired point cloud and consequently to an improved matching accuracy.

The invention relates to the field of medical instrument teaching and training, in particular to a simulated enteroscopy and operation control method and system, which are used for generating a virtual image about an enteroscopy in a simulated intestinal tract and providing real-time visual feedback when a user operates the enteroscopy to examine the simulated intestinal tract; predicting the movement trend of the enteroscope according to the operation characteristics of the user on the enteroscope, and providing an enteroscope operation prompt; and according to the air pressure adjustment operation parameters of the simulated intestinal tract, predicting the air pressure change trend in the simulated intestinal tract, and providing an air pressure adjustment operation early warning prompt. According to the method, visual image navigation guidance can be provided for the user in real time in the simulated enteroscopy training period, prompting can be accurately carried out according to the actual operation condition of the user, the user can obtain all-around information interaction in the training period, it is ensured that the user obtains accurate and timely reminding feedback in the simulated training period, and the training effectiveness is improved.

The invention provides a navigation control method and device of an underwater autonomous vehicle, electronic equipment and a medium, and the method comprises the following steps: inputting position information, a camera image and a sonar image of the underwater autonomous vehicle into a navigation control model to obtain a yaw angle, a pitch angle and a speed of the underwater autonomous vehicle; the navigation control model is obtained by training based on a sample camera image, a sample sonar image and sample position information as well as a label yaw angle, a label pitch angle and a label speed of the autonomous underwater vehicle. According to the method, by fusing position information, a camera image and a sonar image, a navigation control model can obtain more comprehensive environment perception capability than any single sensor, so that the navigation control model can still make a comprehensive decision according to local fine visual information and position information provided by the camera image in a complex dynamic underwater environment; the defects of a single sensor are effectively compensated, and the navigation reliability of the autonomous underwater vehicle in a complex dynamic environment is remarkably improved.

The invention discloses an out-of-trap method, device and system for an autonomous vehicle, a storage medium and equipment, and the method comprises the steps: obtaining a navigation map, recently collected multi-frame road environment images, recent navigation broadcast text information and a problem list when an out-of-trap trigger instruction is received, the question list comprises questions used for inquiring whether the vehicle executes a detrapping related behavior or not; the navigation map, the multiple frames of road environment images, the navigation broadcast text information and the problem list are sent to a cloud end, so that the cloud end processes the navigation map, the multiple frames of road environment images, the navigation broadcast text information and the problem list based on a large language model, and an escape planning track is obtained; and receiving the escape planning track issued by the cloud, and controlling the vehicle to escape according to the escape planning track. According to the scheme, the method can achieve the automatic escape of the vehicle based on the large language model, does not need manual driving, and further improves the reliability of automatic driving.

The embodiment of the present application relates to the technical field of deep space exploration, and particularly relates to a scale information determination method and device in a probe image navigation process. The method comprises: obtaining a target time of next output ranging data based on an action occurrence time of distance measurement of a distance measurement device and a working period; sending an image shooting instruction to a navigation image processor in a next preset control period; obtaining a local waiting time before the navigation image processor executes the image shooting instruction based on the target time, a period start time and a local interrupt latch value; after the local waiting time, shooting a lunar surface image below the probe through the navigation image processor, and taking the ranging data output by the distance measurement device at the target time as scale information for matching the lunar surface image with a preset navigation image. The technical scheme of the present application can obtain accurate scale information in the lunar surface image navigation process, and improve the accuracy and success rate of image matching.

This invention relates to an autonomous image navigation and obstacle avoidance method for unmanned aerial vehicles (UAVs) based on improved reinforcement learning. It proposes an image-based and experience pool data storage mechanism, namely the FRDDM-DQN method. In this invention, an agent that meets the requirements is trained using the FRDDM-DQN method; during task execution, the trained agent controls the UAV to achieve autonomous image navigation and obstacle avoidance. Beneficial effects: By introducing the Faster R-CNN model into the DQN algorithm and transforming the recognition results of the Faster R-CNN model, the ability of UAVs to perform autonomous image navigation and obstacle avoidance in complex environments is obtained. By introducing the experience pool data storage mechanism proposed in this invention into the DQN algorithm, the autonomous image navigation and obstacle avoidance capability of UAVs in complex environments is improved. The distributed training method reduces the retraining time when the application scenario changes.

The invention provides an image navigation positioning method and device, equipment and a medium. The method comprises the following steps: identifying image features of a target image; performing data matching on the image features in a pre-stored positioning knowledge graph, and determining a matching entity in the positioning knowledge graph; determining geographic information of the target image based on the attribute information of the matching entity; wherein the positioning knowledge graph is constructed by image features obtained by analyzing the image samples and text features obtained by analyzing the text samples. According to the method, the image information and the geographic information are combined and matched in the knowledge graph, an image navigation positioning mode with higher universality and high precision is provided, and the image positioning precision is improved.