4611results about "Ultrasonic/sonic/infrasonic image/data processing" patented technology

MRI interference with a co-existing ultrasound system may be reduced or avoided by carrying out RF-sensitive operations of the treatment system only when gradient field activity of the MRI system is suppressed.

The invention relates to the technical field of computer vision, and discloses a thyroid ultrasonic robot automatic scanning method, device and equipment based on RGB images and depth information and a medium, and the method comprises the steps: obtaining image information and depth information, coding the depth information, fusing and recognizing a target scanning area, determining an initial scanning point and an initial scanning direction, controlling the scanning probe to scan and collect a real-time scanning image, analyzing the real-time scanning image to recognize a preset target and an artifact area, adjusting a scanning posture and a scanning path based on a recognition result, monitoring a continuous existence state of the preset target, and stopping scanning when the preset target is not recognized continuously. The target area is identified by fusing the multi-modal image information, the scanning posture and path are dynamically adjusted in combination with real-time image analysis, scanning termination is intelligently controlled according to the target detection result, the positioning accuracy, image quality and standardization level of ultrasonic scanning are improved, and the method is suitable for automatic ultrasonic imaging of thyroid and superficial organs.

Ultrasound devices and systems are disclosed in which cooling of an active acoustic element of an ultrasound transducer is achieved via an electrically conductive member that extends beyond a proximal side of the active acoustic element to contact a heat exchanger. The electrically conductive member delivers electrical driving signals to the active acoustic element while conducting heat to the heat exchanger. A region of the proximal surface of the active acoustic element that is free from contact with the electrically conductive member may also absent from contact with a liquid or a solid, thereby facilitating reflection of ultrasound energy. The heat exchanger may include an electrically insulating fluid that contacts the electrically conductive member to remove the heat conducted through the electrically conductive member. The active acoustic element may be a multilayer lateral mode element, and the electrically conductive member may form an electrode of the lateral mode element.

An image processing apparatus is disclosed. The image processing apparatus of the present invention comprises: an image receiving unit for receiving a first image and a second image of the same object taken at different times; a processor for obtaining transformation information by registering the first image on the basis of the second image, obtaining a first segment image corresponding to an area of the object from the first image, and generating a second segment image corresponding to an area of the object of the second image by transforming the obtained first segment image according to the transformation information; and an output unit for outputting the second segment image.

The invention discloses a peripheral vein puncture blood vessel pressure monitoring system for image enhancement examination based on multi-modal fusion, and relates to the technical field of medical image assistion.The peripheral vein puncture blood vessel pressure monitoring system comprises the steps that image data, sensor data and personalized data of a patient are collected; generating an image feature vector, a sensor feature vector and a personalized feature vector based on the preprocessed multi-modal data, carrying out feature interaction on a multi-modal feature line, carrying out representation fusion by combining Transform with contrast learning, and generating a fusion representation vector; the maximum tolerance pressure, the extravasation risk level and the recommended injection flow rate range of the target puncture point under the current injection flow rate are predicted and evaluated in the blood vessel pressure resistance prediction model, injection suggestions and injection alarms of the target puncture point are generated, and injection parameters are automatically adjusted. According to the method, the personalized safety pressure threshold values of patients with different blood vessel conditions are accurately evaluated, and the safety and accuracy of peripheral vein puncture are remarkably improved.

The invention discloses an ultrasonic image off-line acquisition and dynamic synchronous processing method and system, which realizes off-line acquisition and dynamic synchronous processing of an ultrasonic image under the condition of network interruption through six functional modules, namely a network state monitoring module, an online data synchronization module, an image acquisition processing module, an off-line mode switching module, an off-line diagnosis processing module and an increment synchronization module. The method comprises the following steps: acquiring network connection state data and judging a working mode; pulling and caching tasks and template data in an online state; obtaining multi-modal image data and performing double-writing storage; detecting network interruption and switching to an offline mode; performing AI analysis on the images acquired offline and generating a report; and detecting network recovery and executing incremental data synchronization. According to the invention, the problem of service interruption caused by dependence of a traditional PACS system on a network is solved, the network adaptability and robustness of the system are improved, the operation and maintenance cost is reduced, and the system fault recovery time is shortened.

The invention relates to the technical field of ultrasonic detection, and discloses an ultrasonic scanning path optimization and three-dimensional reconstruction method, device, equipment and medium, and the method comprises the steps: positioning a key mark point of a target area, generating an initial scanning path, and controlling an ultrasonic probe to move along the initial scanning path to collect first ultrasonic image data, extracting target structure features to construct an initial three-dimensional point cloud model; establishing a surface projection model; fitting to generate a surface profile curve and calculating the tangential direction of a sampling point; optimizing the orientation of an ultrasonic probe based on the tangential direction to generate an optimized scanning path; and reconstructing a final three-dimensional model. According to the invention, through key mark point positioning and incident direction optimization based on the tangential direction, the scanning path of the probe is enabled to be adaptive to curvature change of the target area, and through combination of real-time contact force adjustment and multi-stage image data acquisition, three-dimensional point cloud space coverage and imaging consistency are improved, and high-precision three-dimensional reconstruction of a complex anatomical structure is realized.

The invention discloses a vertebral artery dissection risk assessment method and system, and relates to the technical field of risk assessment, and the method comprises the steps: collecting ultrasonic dynamic blood parameter data of a vertebral artery of a patient; based on the ultrasonic dynamic blood parameter data, constructing a local blood flow kinetic energy disturbance time sequence diagram by adopting a hemodynamics time sequence analysis method, and performing time sequence prediction to generate a blood flow function disturbance prediction result; dynamically adjusting a risk score threshold by adopting a reinforcement learning algorithm, combining the adjusted risk score threshold with a blood flow function disturbance prediction result, and generating a personalized vertebral artery dissection risk score according to a risk score calculation model; and generating a vertebral artery dissection risk assessment result by using a multi-modal fusion mechanism in combination with the personalized vertebral artery dissection risk score and the multi-source heterogeneous medical feature set. According to the method, the patient static characteristics and the future disturbance trend serve as input, the optimal risk score threshold value is dynamically selected, and the personalized score is generated according to the disturbance threshold exceeding proportion and time weight information.

The invention relates to the technical field of tumor interventional operations, and discloses a visual navigation method based on a tumor interventional operation robot. The method comprises the following steps: acquiring real-time medical image data of a tumor area containing multi-modal imaging information so as to comprehensively present anatomical details; and performing three-dimensional reconstruction on the image data to generate a tumor area three-dimensional anatomical structure model capable of visually displaying a space structure. Key anatomical feature points are extracted based on the model, space coordinates are calculated, a surgical robot intervention path is planned according to the coordinates, and an initial navigation track is generated; and continuously collecting real-time pose data of the robot in an operation, dynamically matching the real-time pose data with the initial navigation trajectory, adjusting motion parameters according to a matching result, and generating a corrected navigation instruction. The method can reflect the intraoperative anatomy condition in real time, dynamically optimize the path, solve the problems that traditional navigation depends on preoperative static images and lacks real-time adjustment, reduce operative complications and improve the treatment effect of patients.

Needle-guiding systems and methods can facilitate establishing vascular access with a nonmagnetic needle. For example, a method of a needle-guiding system can include detecting and registering registration marks about a patient by patient-facing cameras of an alternative reality ("AR") device, the AR device thereby establishing its location and orientation relative to a target area of the patient. The method can also include anchoring ultrasound images of the target area as viewed through a display screen of the AR device, the ultrasound images anchored about the patient relative to either an instant or previous location and orientation of the ultrasound probe; and providing an instant virtual needle trajectory of the needle as viewed through the display screen of the AR device, thereby indicating to a clinician whether the needle is properly oriented for establishing vascular access to a target vessel of the ultrasound images.

Methods are described for conducting minimally invasive medical interventions utilizing instruments and assemblies thereof to stabilize and / or fixate a dysfunctional sacroiliac (SI) joint. In one embodiment, a defect creation assembly is advanced from a posterior approach into the SI joint and configured to create pilot SI joint opening; portions of which being disposed in the sacrum and ilium bone structures. After the pilot SI joint opening is created, a prosthesis is press-fit into the pilot SI joint opening, wherein the pilot SI joint opening transitions to a larger post-prosthesis insertion SI joint opening and the prosthesis is securely engaged to the sacrum and ilium bone structures.

The invention discloses a lower limb muscle fatigue assessment method and system based on multi-modal physiological signals, and relates to the technical field of biomedical engineering, target muscles are selected, sEMG signals, AUS signals and respiratory flux VE data are synchronously collected, and RPE is recorded; preprocessing various signals to remove interference and abnormal points; extracting sEMG time-frequency domain features and AUS muscle thickness features; fusing features and constructing vectors in a standardized manner; dividing five fatigue grades; and a data set is divided according to stratified sampling, a model is optimized through five-fold cross validation, and real-time features are input to output a fatigue level. Multi-modal physiological signals are fused, fatigue evaluation accuracy is improved, different fatigue stages are finely adapted, muscle load and energy consumption are reduced through personalized adaption and a dynamic adjustment strategy, rehabilitation training safety and comfort are improved, and efficient recovery of lower limb movement functions is assisted.

The invention discloses an auxiliary renal puncture device for the nephrology department, and belongs to the technical field of renal puncture, the auxiliary renal puncture device comprises a sickbed, a plurality of supporting legs are fixedly arranged at the bottom of the sickbed, fixing plates are fixedly arranged on the two sides of the sickbed, and second sliding blocks are slidably connected to one sides of the two fixing plates; the breathing frequency and amplitude of a patient are captured in real time through an infrared breathing monitoring module, and displacement data generated by breathing of the kidney are accurately obtained in combination with motion sensing modules such as a lead screw encoder and a driving gear angle encoder. The intelligent control system drives the first stepping motor and the second stepping motor to adjust the position of the portal frame based on six-dimensional force sensor data of the force sensing module, meanwhile, the angle of the puncture needle is adjusted in real time through feedback of a mechanical arm joint encoder, and dynamic compensation of kidney respiratory movement is achieved. According to the mechanism, the puncture deviation caused by breathing can be controlled within the range of + / -0.5 mm, the puncture positioning precision is remarkably improved, and poor sample quality or operation risks caused by breathing movement are avoided.

This application discloses a renal puncture guidance method, system and computer device based on multi-modal fusion, the method comprises: acquiring a medical image sequence of an object to be examined, and performing three-dimensional reconstruction based on the medical image sequence to obtain a three-dimensional reconstruction model; obtaining a slice corresponding to an ultrasonic probe currently in the three-dimensional reconstruction model; displaying a fusion image obtained from a real-time ultrasound image acquired by the ultrasonic probe and the slice in a first region of a puncture guidance interface; acquiring a needle insertion angle of a puncture needle, and displaying a puncture guide line in the fusion image in real time; and displaying the ultrasonic probe model, the puncture needle model and the three-dimensional reconstruction model in real time in a second region of the puncture guidance interface.

A system includes a processor circuit that receives intraluminal images obtained by an intraluminal imaging device during movement through a patient's body lumen. The processor circuit outputs, to a display, a visual representation of user guidance in response to the processor circuit identifying, among the intraluminal images, a candidate intraluminal image. The user guidance includes stopping the movement and instructing the patient to initiate deep breathing. The processor circuit receives additional intraluminal images obtained by the intraluminal imaging device while the movement is stopped and the patient is deep breathing. The processor circuit determines if a shape and / or size of the body lumen changes in the additional intraluminal images. The processor circuit accepts or rejects the candidate intraluminal image based on if the shape and / or size of the body lumen changes. The processor circuit outputs, to the display, a visual representation corresponding to accepting or rejecting the candidate intraluminal image.

The invention discloses a hypertensive heart disease early screening system fusing ultrasonic multiple parameters, which comprises the following steps: acquiring ultrasonic image data and physiological index monitoring parameters of a patient at different time points, performing difference comparison on heart structure parameters to generate time sequence change data, and establishing a multi-dimensional data fusion scheme based on the time sequence change data and physiological indexes; according to the fusion scheme, acute risk trigger factors are identified, blood flow abnormal parameters are generated, and emergency threshold comparison is carried out to generate acute risk early warning signals; extracting a myocardial strain degradation rate to determine a chronic degradation acceleration time point, carrying out disease progress stage association to generate a chronic risk layering curve, and establishing a clinical index comparison table; carrying out double-layer correlation on the acute risk early warning signal and the chronic risk layering curve, and carrying out calibration judgment to generate a comprehensive risk judgment sequence; the sequence is decomposed into an acute judgment layer and a chronic judgment layer, a risk threshold value is configured to generate an instant early warning signal, a layered screening report is formed, and technical support is provided for early discovery of the hypertensive heart disease.

An ultrasound transducer assembly is connectable to an ultrasound system and comprises one or more ultrasound transducer elements supported by a cap. The ultrasound transducer elements are operable to direct ultrasound energy toward brain tissue of a subject and / or to receive echo ultrasound energy when the ultrasound transducer assembly is mounted on the head of the subject. Some embodiments include a fillable jacket coupled to the inner surface of the cap and in acoustic contact with the one or more transducer elements.

According to embodiments, a system for imaging a blood flow in a region of interest of a patient includes: a display configured to display an image; a processor configured to execute the instructions to: obtain ultrasound imaging data based on an imaging signal; select the region of interest in the ultrasound image data; determine at least one characteristic of a blood flow in the region of interest; generate an animation indicating the at least one characteristic of the blood flow in the region of interest, wherein the animation indicates the blood flow during a single time slot; and control the display to display a static image including the region of interest and the animation within the region of interest.

The invention relates to an adaptive weight gradient optimization method for biological tissue ultrasonic inversion, and the method comprises the following steps: S1, obtaining a coarse tissue region division vector based on travel time tomography, and representing the position of a certain point in a region; s2, initializing variation posterior distribution of each particle; s3, calculating a region dependence weight; s4, acquiring simulated ultrasonic data corresponding to each sample sampled from the current variation posterior distribution; s5, calculating a joint loss function based on the current variational distribution, the sample, the simulated ultrasonic data and the experimental observation data; s6, judging whether convergence occurs or not based on the loss function, if convergence occurs, executing S7, otherwise, performing iterative calculation according to the loss function to obtain new variational posteriori distribution, and returning to S3; and S7, taking the current mean value as an inversion imaging result, and taking the current standard deviation as the inversion uncertainty of the inversion imaging result. Compared with the prior art, the method has the advantages of solving the problem of periodic jump in complex biological tissue inversion and the like.

An ultrasound-imaging system includes an ultrasound probe coupled with a console. Operations of the system can include detecting one or more blood vessels within the ultrasound image and identifying each blood vessel as a vein, an artery or other anatomic element using doppler ultrasound functionality of the ultrasound probe. Operations can also include determining a confidence for the blood vessel identification and defining a window for doppler ultrasound operation. Operations can further include assessing a blood flow rate within blood vessels, and superimposing notifications atop the ultrasound image pertaining to the identity of the blood vessel including a confidence for the identity.

The invention discloses a cerebral vessel anomaly analysis method based on a transcranial Doppler ultrasound image, which comprises the steps of TCD image data acquisition, TCD image space-time filtering preprocessing, automatic blood vessel positioning and three-dimensional modeling, the method comprises the steps of generating a standardized blood vessel segmentation model and a static blood vessel network graph, extracting blood flow quantitative parameters and spectrum qualitative features, analyzing multi-blood vessel space correlation features through a graph attention network, performing primary classification on blood flow states, performing secondary classification on lesion types, making risk grading judgment, generating intervention suggestions and outputting a structured report. By setting an automatic parameter measurement method, the manual operation time of doctors is shortened, and the speed and accuracy of lesion judgment are improved through automatic standardization judgment of frequency spectrum forms and association of multi-dimensional parameters. Meanwhile, the experience requirement of doctors for judging the lesion is reduced, and reference is conveniently provided for batch screening of primary hospitals.

The invention relates to the technical field of ultrasonic diagnosis, in particular to a urinary stone positioning and crushing path optimization method based on AI ultrasonic image analysis, which comprises the following steps: acquiring a multi-modal image feature set, calculating registration parameters and generating stone image features, extracting an anatomical relation map and an energy curve, and searching and optimizing a shock wave path. And dynamically adjusting shock wave parameters. According to the method, multi-modal image structure features are extracted through a residual network, registration error displacement is modeled through a dense optical flow method, registration parameter matrix precision is improved, stone image volume and density expression is enhanced through three-dimensional convolution, topological node structure differences are extracted through a convolutional neural network, and a high-precision anatomical relation graph is formed. Finite element analysis calculates energy distribution of a shock wave incidence angle and tissue impedance, a genetic algorithm searches path combination, a graph search algorithm outputs a cost value sequence, stepping angle adjustment optimizes path node and direction connection, and an output result has adaptability of an incidence direction and an energy control parameter.

The invention provides a catheter tip positioning method and system in central venous catheterization and a medium, and relates to the field of medical image data processing. The system comprises a CT center line extraction module, a puncture position prediction module, a catheterization target calculation module, an ultrasonic center line extraction module, an image fusion module, a catheter position projection module and a catheterization completion judgment module. According to the intelligent navigation positioning technology in the central venous catheterization based on ultrasonic, CT and electromagnetic navigation multi-mode fusion, ultrasonic, CT, electromagnetic positioning and deep learning are creatively fused, accurate positioning and real-time monitoring of the tip of the catheter in the central venous catheterization are achieved, and the learning threshold is lowered.

A method for quantitatively assessing fat of a liver is disclosed. The method comprises: obtaining measured ultrasound data comprising an ultrasound image of the liver and corresponding radio frequency (RF) data of the liver; identifying a field of interest (FOI) in the ultrasound image; determining, for each of a plurality of graphical elements that are within the FOI, values of one or more parameters of interest that are indirect measures of the fat in the liver using the RF data and a pre-defined relationship; and enabling assessment of the fat in the liver based on the determined values.

The invention discloses an ultrasonic image analysis method and an ultrasonic imaging system. The method comprises the following steps: acquiring multiple frames of ultrasonic images of the heart of a target object; automatically determining a myocardial contour of the multi-frame ultrasonic image; at least determining the image quality of the myocardial contour of the multi-frame ultrasonic image; determining a modification priority level of a myocardial contour region of each multi-frame ultrasonic image based on the image quality; and displaying at least one frame of ultrasonic image in the multiple frames of ultrasonic images and the corresponding identification information for identifying the modification priority. According to the ultrasonic image analysis method and the ultrasonic imaging system provided by the invention, the modification priority level of the ultrasonic image is determined, and the ultrasonic image and the corresponding identification information for identifying the modification priority level are displayed, so that the visual prompt for recommending the preferential modification frame is realized, and the operation and use efficiency of a doctor is optimized.

The invention relates to the technical field of medical instruments, and discloses a breast cancer sentinel lymph node positioning system and method, and the system comprises a data collection subsystem, a space positioning subsystem and a central processing subsystem. The method comprises the following steps: acquiring an anatomical structure image, a radioactivity counting rate and fluorescence intensity after performing primary fluorescence, radioactivity and secondary pulse type fluorescence tracer injection in sequence; establishing a global coordinate system and generating an anatomical region of interest; constructing a weighted directed topological graph based on the initial fluorescence data, and obtaining a baseline flow velocity; extracting radionuclide dynamic characteristics based on the radioactive data; a functional flow rate attenuation coefficient is calculated based on the second pulsed fluorescence data. And a multi-factor scoring model is applied, topological information, dynamic characteristics and functional flow velocity attenuation coefficients are fused, and a comprehensive score is calculated to identify the sentinel lymph node. According to the method, the lymphatic flow topological structure, nuclide dynamics and functional flow velocity information are combined, and the positioning accuracy and reliability are improved.

A method of diagnosing a condition of bodily tissue using a computer, the method comprising comparing, using a computer, a 3D tissue model derived from an ultrasound scan of the bodily tissue with at least one 3D tissue model having common tissue with the bodily tissue, and diagnosing a condition of the bodily tissue responsive to comparing the 3D tissue models.

The invention discloses a rotator cuff injury impact test method based on sensor data analysis, and relates to the technical field of intelligent medical equipment, and the method comprises the steps: inputting a joint contracture data set into a generative adversarial network model, carrying out pressure propagation mode analysis through a three-dimensional convolution layer, carrying out energy hot spot aggregation through an attention mechanism layer, and carrying out pressure propagation mode analysis through a three-dimensional convolution layer; the method comprises the following steps: generating a pressure field comprehensive vector of a contracture joint, extracting gradient amplitude and energy density characteristics in the pressure field comprehensive vector, performing neighborhood smoothing through Gaussian average filtering, obtaining an acoustic impedance value matrix, synchronously performing spatial continuous mapping, obtaining an acoustic impedance distribution diagram, and obtaining an acoustic impedance value of the contracture joint according to the acoustic impedance distribution diagram. And performing dynamic compensation on the pressure field comprehensive vector through an acoustic transmission equation to obtain a corrected pressure field comprehensive vector, and converting the corrected pressure field comprehensive vector into an impact control signal through a PID (Proportion Integration Differentiation) controller. According to the invention, through the generative adversarial network model and the PID controller, the multi-physical field data of the joint contracture area can be integrated, and the frequency and pulse width of the shock wave therapeutic apparatus can be adjusted.

A system includes a processor circuit that receives intravascular imaging data from an intravascular imaging catheter, an x-ray image from an x-ray imaging device, and intravascular pressure data from an intravascular pressure-sensitive guidewire. The processor circuit correlates the intravascular imaging data and the intravascular pressure data with locations along a body lumen shown in the x-ray image. The processor circuit generates a longitudinal view of the body lumen based on the intravascular imaging data and outputs a screen display including the longitudinal view of the body lumen with an overlaid graphic representation corresponding to the intravascular pressure measurements.