223 results about "Imaging guidance" patented technology

Disclosed are approaches that may provide image-guidance to interventionalists by providing true 3D visualization and quantitative feedback in real-time. A guidance system may allow a physician to manipulate a medical device and see a 3D rendering with quantitative feedback floating in mixed reality, next to standard monitors. Image tracking may detect and co-register the medical device's 3D position using, for example, bi-plane C-arm X-ray fluoroscopy and provide a 3D trajectory as quantitative feedback. Patterns in a fluoroscopic image may be used to accurately determine an object's z-position from a single angle projection.

The invention belongs to the technical field of medical signal processing, and particularly relates to a tumor motion prediction method and system based on electromyographic signals. The system comprises an image guiding module which is configured to collect an electromyographic signal and tumor movement of a patient, and extract a respiration-related signal from the electromyographic signal by adopting a gating method, template subtraction, envelope calculation and offline filtering in sequence; a cross-correlation function is adopted to calculate correlation coefficients and look-ahead time of the respiratory correlation signals and tumor movement; the treatment delivery module is configured to collect an electromyographic signal of a patient and extract a respiration related signal from the electromyographic signal by adopting a gating method, template subtraction, envelope calculation and online filtering in sequence; and obtaining a prediction result of tumor movement based on the look-ahead time calculated by the image guiding module. The invention further provides a method for predicting tumor movement by applying the system. The method can compensate the system delay when the radiotherapy equipment tracks the tumor movement, and has a good application prospect.

The invention provides a long-exit-pupil-distance broadband common-aperture composite simulation optical system, and belongs to the technical field of target scene composite analog simulation. A broadband objective lens group A, a space beam combiner group B and a long-wave infrared projection lens group D are sequentially arranged in the optical system from left to right along light, a visible light projection lens group C is located on the upper side of the space beam combiner group B, and a long-wave infrared projection lens group C is located on the lower side of the space beam combiner group B; a visible light image plane is positioned on the right side of the visible light projection lens group C; the medium-wave infrared projection lens group E is located on the lower side of the space beam combiner lens group B, the medium-wave infrared image surface is located on the lower side of the medium-wave infrared projection lens group E, the long-wave infrared image surface is located on the right side of the medium-wave infrared image surface, and the exit pupil position is located on the left side of the broadband objective lens group A; the problem that a single-channel target modulo system only adapts to simulation of imaging guidance equipment of a specific wave band and is not suitable for semi-physical simulation tests of three-mode composite imaging guidance equipment and two-mode composite imaging guidance equipment is solved.

The invention provides a digital human generation system based on a visual autoregression model, and the system introduces a BSQ multi-scale image word segmentation device, a condition image guide network and a time sequence attention layer based on the visual autoregression model to construct a digital human generation model, and adjusts the time sequence attention weight distribution through a temperature map. Target digital human image sequence generation guided by a human identity tag and a color coding image sequence is realized, and the visual generation quality and the time sequence consistency of the generated image sequence are improved; lPIPS perception loss is introduced during model training, direct constraint on the visual quality of the generated image is realized, and the visual generation quality of the generated image is further improved; in the digital human image sequence generation stage, a frame insertion smooth reasoning method is adopted, and the time sequence consistency of the generated image sequence is further improved; according to the invention, the modules cooperate to realize the generation of the motion-controllable target digital human image sequence, and the image sequence generation speed is obviously improved on the premise of ensuring the quality of the generated image.

The invention discloses an isocenter calibration quality control system and method for a radiotherapy image guidance system, and relates to the technical field of medical image processing, and the method comprises the steps: S1, enabling radiotherapy rays to be imaged on a scintillator through an optical body surface imaging mode, and obtaining the radiation isocenter of a linear accelerator according to the imaging information of the scintillator; s2, calculating a 3D point cloud of the ball array by using an image processing module to obtain a 3D coordinate of the center position of the ball array; and S3, aligning the 3D coordinate of the center position of the ball array with the radiation isocenter of the linear accelerator to realize calibration of a point cloud coordinate system so as to accurately position the patient in a positioning and treatment stage. According to the invention, the isocenter position of the accelerator can be accurately positioned, the isocenter point of the accelerator is mapped to the point cloud three-dimensional space coordinate for coordinate alignment, accurate positioning and calibration of the system are realized, and the system can also be used for positioning verification before radiotherapy.

Systems, devices, and methods for integrating images from various sources and using the same to guide endoscopic procedures are disclosed. An endoscopic system comprises an endoscope to be positioned and navigated in a patient anatomy, and a processor configured to reconstruct a three-dimensional (3D) image of an anatomical target based on at least two images of the anatomical target. The at least two images can be calibrated and registered using respective landmarks. One or more secondary images can be integrated with the reconstructed 3D image. The reconstructed image or the integrated image, along with the endoscope navigation plan, can be displayed to a user. Based on the reconstructed or the integrated image, the processor can generate an endoscope navigation plan for use in an image-guided endoscopic procedure.

The intelligent gynecological flushing system comprises a gynecological flushing platform, a colposcope image guiding system, a self-adaptive flushing execution system and an evaluation feedback optimization system, and the gynecological flushing platform is used for supporting a patient to conduct gynecological flushing; the colposcope image guiding system is used for collecting colposcope image data, identifying lesion characteristics based on an image identification technology, and transmitting an identification result to the self-adaptive flushing execution system; the self-adaptive flushing execution system is used for carrying out self-adaptive gynecological flushing on the focus part by utilizing flushing fluid according to the guidance of the colposcope image guidance system and based on the basic information of the patient; and the evaluation feedback optimization system is used for collecting the components of the flushing fluid after flushing and the reaction of the flushing part, performing quantitative evaluation on the flushing effect, feeding back the evaluation result to the self-adaptive flushing execution system, and optimizing the self-adaptive flushing parameters of the self-adaptive flushing execution system. According to the invention, the stability and accuracy of the flushing process can be ensured.

The invention discloses an ablation system and method, the system integrates a handheld ablation unit and a guiding device, the guiding device fixed on the surface of an ablated tissue is used for fixing and guiding the direction of the handheld ablation unit, and the focus of focused ultrasound is located at a target ablation position in combination with an intelligent image guiding and energy self-adaptive regulation and control technology; and accurate positioning of the target ablation position is realized. According to the system, the digital twin navigation technology is utilized, the millimeter-level miniature parallel robot is combined, high-precision automatic measurement and ablation site positioning are achieved, the workload of manual adjustment of doctors is reduced, the treatment process is optimized, the treatment efficiency is greatly improved, and the system is suitable for patient groups in a larger range.

The invention belongs to the technical field of image recognition, and discloses a zero sample defect detection method based on a large language model and a self-scoring mechanism. The method is characterized by comprising the following steps: mapping a query image to a feature space through a feature extractor to obtain feature representation of the image; then, designing a dialogue template with the large language model, inputting a to-be-segmented image into the large language model, and inquiring corresponding attributes of the image to obtain a description text of the image; and then the feature map is expanded, and kmeans clustering is carried out on the expanded features. And respectively performing similarity calculation on the foreground and background features obtained on the text branches and the image branches and the image features to obtain a score graph based on text guidance and a score graph based on image guidance. And finally, obtaining a final score graph by weighting and combining the score graphs of the text guidance and the image guidance. And generating a prediction mask by comparing the numerical values of the fractional graph in the two dimensions so as to identify and segment a defect area. According to the method, the accuracy of defect detection is improved, efficient zero sample detection can be realized under the condition that defect samples are scarce, data requirements are effectively reduced, and the applicability and robustness of a detection model are improved.

The invention discloses a radiotherapy equipment image guiding device and method and related equipment, and relates to the technical field of radiotherapy, and the device comprises a ray generation module which is provided with a ray source and is arranged at one side of a treatment room isocenter; the radiation source is used for moving along a first preset path; the ray source is used for emitting rays, and the rays penetrate through a patient; the detection and acquisition module is provided with a detector, is arranged on the other side of the isocenter of the treatment room and is distributed opposite to the ray source along the isocenter; the detector is used for moving along a second preset path, collecting rays penetrating through the patient and converting the rays into corresponding projection images; the registration module is used for performing registration on the projection image and a planned CT image by executing a first registration mode or a second registration mode so as to calculate a positioning deviation; and the first preset path and the second preset path are straight lines, so that the adaptability, precision and stability of radiotherapy are improved.

For interventional surgery, robot-assisted operation and image guidance are urgently required clinically. However, due to limitation of size, magnetic component interference and the like, tracking and positioning of magnetic imaging catheters in IVUS and OCT forms are difficult problems. The interventional imaging catheter, the six-degree-of-freedom positioning method, the six-degree-of-freedom positioning system, the six-degree-of-freedom positioning equipment and the medium are different from a magnetic positioning method of a transmission embedded sensor, and the interventional imaging catheter is compatible with a magnetic part in a permanent magnet rotor form. Meanwhile, in cooperation with a magnetic positioning search strategy for linearly solving an initial value, positioning of the catheter can be rapidly achieved.

The invention relates to the technical field related to ultrasonic detection, in particular to a method and a device for acquiring an angle of a transesophageal ultrasonic image in a preoperative CT image guidance operation. The method comprises the following steps: acquiring a heart and esophagus cutting model based on a CT image; the heart and esophagus cutting model comprises a heart model and an esophagus model; determining a long-axis section of the heart based on the heart model; determining an esophagus center line based on the esophagus model; selecting a point closest to the long-axis tangent plane in the central line of the esophagus as an ultrasonic irradiation position; the long-axis section of the heart is corrected based on the ultrasonic irradiation position, so that the long-axis section passes through the ultrasonic irradiation position, and the corrected long-axis section is obtained; and determining the angle of the ultrasonic probe based on the corrected long-axis tangent plane and the tangent plane of the esophageal center line at the ultrasonic irradiation position. By means of the arrangement, a doctor can obtain the intraoperative ultrasonic irradiation angle during preoperative planning, and the operation is more accurate and normative.

The invention provides a text-enhanced cross-modal pedestrian retrieval method based on image guidance, and belongs to the field of artificial intelligence and multi-modal perception.The method comprises the steps that training images and texts are input into an image encoder and a text encoder respectively; obtaining a global feature representation of the image features, and mapping the global feature representation into a pseudo token; extracting pseudo text features; extracting pseudo token embedding, and screening the pseudo token embedding; the optimal pseudo token is embedded and interacted with the learnable query to obtain a knowledge-based query; fusing the knowledge-based query and the text features to obtain enhanced text features; aligning the enhanced text features with the image features to obtain a trained image and a text encoder; respectively inputting a pedestrian image and text description into the trained image and the text encoder, fusing knowledge-based query and original text features, and calculating cosine similarity expressed by the enhanced text features and image features; the invention further provides a retrieval system. The problems of low cross-modal matching precision and insufficient fine granularity alignment are solved.

The present disclosure relates to a surgical drape to be used in conjunction with a surgical procedure, and more specifically to a surgical drape that includes one or more of the following: (1) a patient drape for use with a standalone non-draped image acquisition device (requiring circumferential access to the patient); (2) a patient drape for use with a standalone non-draped image acquisition device with image guidance navigation technology; (3) the means to provide temporary sterile coverage of an underlying sterile field; (4) the means to provide sterile separation of at least a portion, if not the entire temporary sterile coverage; (5) the means to provide covering of the undersurface of the operating surface and enclosing any suspended medical devices, wires, cables, tubes, etc; and (6) a single-use disposable outer surgical drape that ensures sterility of a covered surgical apparatus, device, or machine, or an inner drape associated therewith.

The invention discloses a low-cost injection type seeker semi-physical simulation test method which is suitable for semi-physical simulation of all weapon systems adopting image guidance. According to the method, a simulation mode of a traditional image guided weapon system based on a five-axis turntable is abandoned, three inner axes of the five-axis turntable are used for simulating guide machine motion, two outer axes of the five-axis turntable are used for simulating target motion, and a ground image is directly injected into a seeker image information processing card. The defects that a traditional weapon system simulation method is not comprehensive in tracking algorithm assessment, and the motion angle of a rotary table is limited are overcome. According to the method, the actual working process of a seeker tracking algorithm and an image seeker can be comprehensively assessed, the whole simulation process does not depend on a high-performance five-axis turntable and an image simulator, the purpose of assessing the working performance of the seeker in a low-cost and multi-dimensional mode is achieved, and the simulation system and method are simple in design, effective, practical and suitable for popularization and application. Good popularization and application space is realized.

The invention relates to a dark-light-oriented color-monochromatic dual-camera unmanned aerial vehicle aerial photography imaging method, and belongs to the field of low-light aerial photography imaging. The method comprises the following steps: acquiring paired low-illumination data sets at low altitude at night by using a color camera and a monochromatic camera carried by aerial photography equipment; constructing an integral structure of the aerial low-light imaging method ALICE based on the color-monochrome camera; constructing a disturbance corrector based on wavelet transform, performing rough correction on a degradation region of a low-light color image in the paired low-illumination data set to obtain a corrected image, and meanwhile, avoiding loss of specific texture information in an aerial scene; and constructing a refinement restorer based on monochromatic image guidance in ALICE, performing refinement restoration on the obtained corrected image, and performing fine restoration of exposure and details by utilizing the low-light monochromatic image guidance in the paired low-illumination data set to generate a high-quality aerial image with good exposure and rich texture details. According to the invention, a high-quality aerial image with good exposure and rich texture details can be accurately generated.

The invention discloses a weak feature point cloud quick splicing method based on image guidance, which comprises the following steps of: 1) acquiring camera parameters required by subsequent calculation by adopting a Zhang's calibration method, and defining a reference plane as a space reference for subsequent pose calculation; 2) synchronously acquiring point cloud and RGB images, performing image matching through an AKAZE algorithm for 2D images, and then screening matching pairs by adopting an angle consistency + RANSAC algorithm to obtain a better 2D matching relationship; 3) calculating an initial 3D matching relation of adjacent point clouds by combining the results of the steps 1 and 2 to realize coarse registration; and 4) taking the point clouds after applying the result of the step 3) as input, and carrying out iterative optimization by adopting a Point-to-Plane-ICP algorithm to obtain an accurate 3D matching relationship between adjacent point clouds so as to complete splicing. According to the method, the problems of high splicing difficulty and low efficiency and precision of weak 3D feature adjacent point clouds are effectively solved, and the point cloud splicing efficiency is improved while the point cloud splicing precision is considered.

The invention discloses a weak texture scene image and point cloud data fusion method based on a DMF-Net, and the method proposes that the DMF-Net guided by a single-view image is combined, is used for the deep fusion of an image and point cloud data, enhances the feature expression in a weak texture scene, and completes a cross-modal point cloud completion task through a DMF-Net frame. Two stages of rough point cloud generation and upsampling from rough to fine are realized, a 3D encoder and a 2D encoder are utilized to extract point cloud and image features respectively, features of two modes are integrated through a dual-channel mode fusion module, global feature vectors are generated and are interpreted into initial rough point cloud, and complete three-dimensional point cloud can be obtained after optimization. Therefore, the fusion of the weak texture scene image and the point cloud data is realized, the limitation of the weak texture scene is effectively overcome, and the precision and robustness of downstream tasks such as three-dimensional reconstruction and geological analysis are remarkably improved.

The invention relates to a three-dimensional affordability positioning method and device based on multi-image invariant features, and a medium. The method comprises the following steps: obtaining a plurality of person-object reference images; a multi-image guide invariant feature perception three-dimensional availability basic positioning model is utilized, an availability area of a three-dimensional object is positioned by identifying a common interaction mode in a plurality of person-object reference images, and the model comprises an invariant availability knowledge extraction module and an availability dictionary adaptive fusion module. The invariant accessibility knowledge extraction module extracts aligned accessibility knowledge from a plurality of reference images step by step by utilizing an iterative updating strategy and integrates the accessibility knowledge into an accessibility dictionary, and the accessibility dictionary self-adaptive fusion module fuses the extracted invariant accessibility knowledge with point clouds to obtain a point cloud fusion result; and obtaining a comprehensive point cloud feature representation considering all the affordability candidate items, and outputting an affordability positioning prediction result. Compared with the prior art, more accurate and robust three-dimensional object availability positioning is realized.

The invention relates to the technical field of image guidance positioning, and provides a radiotherapy positioning system and a positioning structure based on image guidance, which are characterized in that a comprehensive, accurate and adaptive radiotherapy positioning system is constructed, the positioning structure is monitored and analyzed in real time from multi-modal image data fusion in combination with physiological features of target tissues, and the positioning structure is used for positioning the target tissues. In the radiotherapy process, parameters of the treatment bed and the positioning structure can be dynamically and accurately adjusted according to the actual position and state change of the target tissue, the integration mode effectively avoids the problem of positioning deviation caused by the fact that a traditional positioning method is single and lacks real-time dynamic adjustment, and the positioning accuracy is improved. The overall precision and reliability of radiotherapy positioning are greatly improved, and a solid guarantee is provided for accurate action of radiotherapy on target tissues.

The present invention relates to the field of medical artificial intelligence imaging technology, and specifically to an artificial intelligence cardiovascular surgery image guidance system, comprising the following modules: a video acquisition module for collecting real-time video in cardiovascular surgery; a processing module for preprocessing videos to generate cardiovascular structure images of different sizes and shapes; a deep learning model for identifying and marking abnormal areas in cardiovascular structure images; a fusion module mainly for fusing multimodal image data to generate cardiovascular abnormal area analysis reports; a simulated surgery module mainly for generating three-dimensional cardiovascular surgery simulation scenes and path planning; an evaluation module mainly for evaluating the simulated surgery process and feeding back the results to the deep learning model; and a guidance module mainly for providing real-time guidance during surgery to assist doctors in performing surgery. The present invention can generate three-dimensional cardiovascular surgery simulation scenes and surgical path planning, and can perform sufficient simulation training and evaluation before surgery to improve the success rate of surgery.

The utility model provides a long-exit-pupil-distance broadband common-aperture composite simulation optical system, and belongs to the technical field of target scene composite analog simulation. A broadband objective lens group A, a space beam combiner group B and a long-wave infrared projection lens group D are sequentially arranged in the optical system from left to right along light, a visible light projection lens group C is located on the upper side of the space beam combiner group B, and a long-wave infrared projection lens group C is located on the lower side of the space beam combiner group B; a visible light image plane is positioned on the right side of the visible light projection lens group C; the medium-wave infrared projection lens group E is located on the lower side of the space beam combiner lens group B, the medium-wave infrared image surface is located on the lower side of the medium-wave infrared projection lens group E, the long-wave infrared image surface is located on the right side of the medium-wave infrared image surface, and the exit pupil position is located on the left side of the broadband objective lens group A; the problem that a single-channel target modulo system only adapts to simulation of imaging guidance equipment of a specific wave band and is not suitable for semi-physical simulation tests of three-mode composite imaging guidance equipment and two-mode composite imaging guidance equipment is solved.

The invention discloses an airborne intelligent processing system based on multiple unmanned aerial vehicles, and the system comprises data processing modules in all unmanned aerial vehicles, and a data receiving module and a situation autonomous perception module which are in communication connection with the data processing modules. Wherein the data receiving module is used for receiving input data, and the data processing module is used for matching a preset task template based on a task list and target sensing data to obtain task automatic control flow data, generating a load control instruction based on the task automatic control flow data, and sending the load control instruction to the server. The situation autonomous perception module responds to the multiple instructions of the data processing module, multiple pieces of target perception data are obtained, and the multiple pieces of perception data comprise target detection, recognition and positioning data, multi-source heterogeneous image fusion data, image guidance data and damage evaluation data. And a parameterized cooperative reconnaissance task automatic driving mode can assist the multi-unmanned aerial vehicle system to flexibly configure various combat task modes, so that the combat of the unmanned aerial vehicle system has very high flexibility.

The invention relates to the technical field of medical robots and image guidance, and discloses a target area operation method, device, equipment and medium based on a perceptual image, and the method comprises the steps: obtaining the perceptual image data of a target area, recognizing the boundary of the target area based on the perceptual image data, and planning and generating an operation path according to the boundary of the target area, and controlling the execution component to execute operation along the operation path, acquiring a contact feedback signal of the operation tool in the execution process, adjusting the operation state of the execution component, detecting interference information of the execution component in real time, dynamically correcting the operation path according to a detection result, and realizing autonomous perception and operation control of the target area. According to the method, a closed-loop autonomous control mechanism from sensing to operation is constructed by fusing sensing image recognition, path planning, execution control and real-time feedback correction processes, and accurate recognition and path adaptive adjustment of a target area in a dynamic environment are realized.

A base station assembly for an operating room table is disclosed. In one embodiment, the base station assembly includes a base station that is secured to the operating room table. The base station includes an arcuate rail member with a selectively moveable clamp attached thereto. A vertical support arm extends from the selectively moveable clamp to provide selective attachment to a surgical accessory, such as a retractor arm, armrest, or image guidance reference frame. The base station assembly provides surgical accessory support that may be moved and adjusted by a surgeon at any time during an operation without contaminating a surgical field and without assistance from circulating operating room personnel.

The application discloses a single-photon lidar point cloud denoising method based on multi-mode guidance and related equipment, and belongs to the field of lidar signal processing and computer vision. The three-dimensional point cloud of the single-photon lidar, the infrared image and the visible light image are synchronously collected; the infrared image and the visible light image are extracted and fused in parallel to generate multi-mode image guidance features; after the features of the point cloud are extracted, the features are projected onto the image plane to form spatially aligned alignment point cloud feature maps; the two features are interacted through bidirectional cross-attention calculation, the obtained features and the original features are aggregated, and then integrated through a multilayer perception machine to obtain multi-modal joint features; the joint features are decoded to output a denoising weight map and a signal enhancement map; the original point cloud is projected onto the image plane, noise points are filtered out by using the denoising weight map, and the reflection intensity of the reserved points is enhanced by using the signal enhancement map to generate a denoised three-dimensional image. The application realizes accurate noise filtering and effective signal enhancement, and improves the quality of the point cloud.

The invention disclosed here generally relates to devices used to identify the location of a never in order to modify a property of the nerve. Specifically, the invention utilized pre-operative scans of a patient's nasal cavity in order to identify target treatment locations when a nerve to be treated is located. The image of the nasal cavity and target treatment location can be registered with the real time position of the nasal cavity using a surgical navigation system in order to assist in guiding a surgical probe to the target treatment location.

Systems and methods for sonicating a body within an organ of a patient include supplying ultrasound energy to the body in order to produce a liquified material, which can then be aspirated from the body via a catheter. Image guidance is used during aspiration of the liquified material.

A platform device for material excision or removal from vascular structures for either handheld or stereotactic table or robotics platform use may comprise a work element or elements configured to selectively open and close at least one articulable beak or scoopula configured to penetrate and remove intra-vascular materials or obstructions or follow a central lumen of another device or over a wire in a longitudinal direction. Flush and vacuum tissue transport mechanisms may be incorporated as well as single or multiple arrays of image guidance elements, directional elements, ablation elements and other interventional assistance elements. A single tube or an inner sheath and an outer sheath which may be co-axially disposed relative to a work element may be configured to actuate a beak or beaks or scoopulas and provisions for simultaneous or differential beak or scoopula closing under their differential rotation may be incorporated.

The present application relates to the technical field of cancer detection, in particular to a kind of tumor imaging guided photodynamic therapy reagent.The reagent is named ADS254BE / H2TPP NPs, which is composed of hydrophobic conjugated polymer ADS254BE and tetraphenylporphyrin H2TPP doped polymer microspheres, and the surface of the polymer microspheres also has PSMA modification layer.The reagent is prepared by uniformly mixing ADS254BE, H2TPP and PSMA solution, ultrasonic treatment, room temperature standing, and then evaporating solvent in the solution.The photodynamic diagnosis and treatment reagent provided by the present application shows bright red emission centered at 650nm, relatively large stoke shift, higher singlet oxygen generation rate, and good light stability and biocompatibility.The present application provides a feasible strategy for constructing new optical diagnosis and treatment integrated reagent, and is expected to promote the development of imaging guided photodynamic therapy.