149 results about "Ultrasonic imaging" patented technology

The application discloses an ultrasonic-temperature double-triggered double-liquid gas phase change contrast agent and a preparation method thereof. The preparation steps comprise the following steps: adding an isotonic buffer solution into a prepared composite phospholipid film, oscillating after ultrasonic dispersion, obtaining a targeted phospholipid vesicle dispersion; then high-pressure double-liquid co-loading is carried out, and the phase change temperature and the ultrasonic response are calibrated; filtering through a filter membrane, collecting the precipitate after centrifugation, adding a protective solution after washing with a PBS buffer solution, and sealing and storing to obtain the double-liquid gas phase change contrast agent. After the contrast agent enters the body, under the ultrasonic double triggering of the physiological temperature and an ultrasonic imaging instrument, the double-liquid gas synchronously phase changes into a gaseous state, drives the contrast agent to rapidly expand from a nano-sized particle into a micron-sized microbubble, realizes ultrasonic enhanced imaging, and has a significant clinical application value.

A distributed ultrasonic monitoring system for an internal fracture process of an ultra-large three-dimensional geological model includes a high-power ultrasonic phase control apparatus, ultrasonic transmitting and receiving integrated sensors, and measurement and control and three-dimensional ultrasonic imaging software. A geometric asymmetric monitoring layout mode is adopted to form a three-dimensional monitoring grid. The sensors are coupled with the three-dimensional geological model using a pre-embedded manner, the sensors according to sequential numbers are connected to the high-power ultrasonic phase control apparatus, and the sensors of each chain sensor array are excited one by one according to a pre-set delay time; and the three-dimensional ultrasonic imaging software inverts and analyzes a three-dimensional wave velocity field of the monitoring areas according to a relationship of echoes, transmission wave signals and the three-dimensional grid, and reflects rock fracture positions and degrees through changes in the wave velocity field.

The application discloses a kind of thyroid boundary smoothness detection system and method, it is related to medical image processing and medical auxiliary diagnosis technical field, including the following steps: the image after ultrasonic imaging is analyzed, the imaging feature data in it are extracted, and feature data set is constructed after pre-processing;Using feature engineering technology, from the data set after pre-processing, the key feature index reflecting the potential overlap situation of high-intensity edge region in image is extracted, and the key index extracted is comprehensively analyzed, and the degree of edge overlap in image is quantified.The application intelligently identifies high-intensity overlapping edge region and dynamically adjusts feature contribution, effectively suppresses the interference of ultrasonic artifact on boundary extraction, avoids boundary overlap, self-intersection and deformation, ensures that the extracted boundary has good continuity and smoothness, and provides reliable boundary basis for smoothness quantification analysis and lesion diagnosis.

The application provides a curved surface ultrasonic imaging device, which comprises a first base, a first track and a second base. The first base has an arc-shaped curved surface, which is arranged according to the circumferential profile of a target to be detected. The first track comprises a plurality of segmented tracks, which are hinged to the first base and can rotate relative to the first base to adjust the curvature of the first track, so that the curvature of the adjusted first track matches the circumferential profile curvature of the target to be detected. The second base is slidably connected with the first track and moves circumferentially along the first track relative to the target to be detected. The second base is provided with a second track, which is arranged along the radial direction of the first track. A probe moving mechanism is slidably connected with the second track and moves radially along the second track relative to the target to be detected.

The present application belongs to the technical field of medical ultrasonic signal processing, and specifically relates to a spermatic vein ultrasonic imaging enhancement system and method based on double-wall filtering and adaptive Doppler signal processing. The system comprises a dynamic reconfigurable analog front end, a dual-channel heterogeneous data processing unit and a closed-loop feedback controller. The method extracts fluid dynamics characteristics in real time through an auxiliary path, intelligently identifies resting state and action mutation state. At the action mutation moment, the physical layer automatically switches the analog filtering parameters to prevent signal saturation, and the digital layer adaptively increases the FIR filter weight to eliminate the ringing artifact; in the resting state, the high-gain analog configuration is maintained and the IIR filter is dominated to capture weak signals. With the delay buffer mechanism, accurate timing alignment of control instructions and imaging data is realized. The present application effectively solves the contradiction between low flow rate detection sensitivity and strong tissue motion interference suppression, eliminates the flicker artifact generated by breath holding action, and significantly improves the diagnosis accuracy of weak reflux.

An ultrasound imaging disclosure according to an embodiment of the present disclosure relates to an ultrasound imaging apparatus configured to irradiate ultrasonic waves to an object to which an ultrasonic contrast agent is administered, receive an echo signal reflected from the object, and analyze a contrast enhanced ultrasound image for the object, the ultrasound imaging apparatus including an image processor configured to set a region of interest in the ultrasound image, and generate a time intensity curve representing brightness of each frame of the ultrasound image within the set region of interest and a curve fitting model representing a tendency of the time intensity curve according to a predetermined mathematical model.

The application belongs to the field of medical instrument imaging diagnosis equipment quality detection, and particularly relates to a phantom and a method for coronal plane transmission detection of a three-dimensional ultrasonic imaging device. The phantom comprises: an upper panel, an acoustic window, a target group, and an aggregate formed by background ultrasonic tissue simulation material. The upper panel is located above the acoustic window, and the upper panel and the acoustic window form an inner cavity after being connected. The target group and the aggregate formed by the background ultrasonic tissue simulation material are located in the inner cavity. When the coronal plane transmission imaging performance is detected, the phantom is suspended in the imaging area of a hemispherical ultrasonic array, and a degassed water body is also contained in the imaging area. Each target in the target group extends along the vertical direction and is perpendicular to the coronal plane of the breast to be imaged. In this way, the convenience and accuracy of the coronal plane transmission imaging performance detection are improved, and the utility is good.

Techniques for determining fetal situs during an ultrasound imaging procedure are disclosed. The techniques can include obtaining an ultrasound image of a fetus in utero. The fetus will include a torso and a spine and the ultrasound image can comprise a circumferential view of the torso of the fetus. The circumferential view can include at least: (i) an outer border of the torso, and (ii) the spine that includes three landmarks arranged in a triangular orientation. The techniques can further include superimposing a fetal overlay based on an alignment instruction corresponding to an alignment between the outer border of the torso and the three landmarks to obtain an augmented reality image of the fetus. The fetal overlay can include a graphical element indicating a left side and a right side of the fetus. The augmented reality image of the fetus can be output on a display of the ultrasound machine.

The application provides a trigger type wearable ultrasonic device and method, and relates to the technical field of medical imaging and rehabilitation engineering. The device comprises: an ultrasonic imaging module for generating an ultrasonic image of a target part; a training intensity monitoring module for monitoring rehabilitation training actions of a user in real time and generating a training intensity signal; a central processing and control module for generating an action type and a training intensity parameter according to the training intensity signal, generating an imaging trigger instruction according to a trigger condition, and synchronously and associatively storing the collected ultrasonic image and the training intensity parameter and the action type at the trigger time. Thus, the ultrasonic imaging is intelligently triggered through the training intensity signal, the system only works in an effective training period, thereby significantly reducing the power consumption of the system and prolonging the endurance time; and the multimodal synchronization and association of the ultrasonic image data and the training intensity parameter are realized, thereby providing an objective and fused data basis for the quantitative evaluation of rehabilitation effects and the accurate formulation of rehabilitation plans.

This invention discloses a parallel demodulation and intelligent imaging system based on a reconfigurable fiber optic ultrasonic detection array, belonging to the field of ultrasonic / photoacoustic detection and imaging technology. A splicing and clamping type of flexibly reconfigurable fiber optic ultrasonic detection array structure is designed, using detachable slots and assembly fixtures for assembly, supporting dynamic splicing and reconfiguration of the array as needed to adapt to diverse detection environments. A wavelength division multiplexing (WDM) to time division multiplexing (TDM) high-capacity, streamlined parallel demodulation system is developed, forming a path-sharing delay system through the coordinated configuration of delay and beam combining, distinguishing multi-channel detection signals in the time domain, while maintaining small size and low cost. A sound velocity inversion-based highly intelligent calibration ultrasonic imaging algorithm is constructed, integrating a deep learning model to adaptively correct sound velocity distortion in non-uniform media, achieving high-quality imaging. This invention achieves flexible layout, streamlined link, and high-fidelity fiber optic array-based ultrasonic / photoacoustic imaging through synergistic optimization of front-end detection, mid-end demodulation, and back-end imaging.

The application provides a prestressed steel bar nondestructive detection method and system based on ultrasonic imaging, relates to the technical field of prestressed concrete structure nondestructive detection, and is characterized in that a quasi-distributed ultrasonic transmitting-receiving array is arranged along both sides of the prestressed steel bar, each probe is sequentially excited and a multi-path echo sequence signal is synchronously collected, Hilbert-Huang transformation is performed on each path signal, a marginal spectrum is obtained through empirical mode decomposition and Hilbert spectrum integration, a barycentric frequency is extracted as a characteristic value which is highly sensitive to interface stiffness degradation, the barycentric frequencies of all paths are taken as projection data, an algebraic iterative reconstruction algorithm is used in combination with the spatial coordinates of the probes, a dispersion characteristic tomographic image of the measured section is reconstructed, a barycentric frequency variation curve is extracted from the image along the direction of the steel bar, and the area where a continuous shift occurs and the shift amount exceeds a threshold value is determined as an interface stiffness abnormal area, so that two-dimensional imaging diagnosis and spatial positioning of the interface state of the prestressed steel bar are realized.

The present application relates to a kind of multi-path adaptive full focusing ultrasonic imaging methods for composite corner area, which comprises: collecting the ultrasonic full matrix data of composite corner area;According to the characteristic parameter of composite material, construct quasi-longitudinal wave group velocity sound speed model;Construct the surface layering discrete model with local coordinate system, and combine it to be abstracted as directed graph G based on the quasi-longitudinal wave group velocity sound speed model;From directed graph G, search the propagation path candidate set of element to any node, and according to the propagation path candidate set and the ultrasonic full matrix data, construct multiple full focusing imaging TFM images;According to the path score factor of multiple full focusing imaging TFM image, based on the path score factor, the multiple full focusing imaging TFM image is weighted and fused pixel by pixel, and the fusion imaging result is obtained.Compared with prior art, the present application has the advantages of strong adaptability, improved corner area focusing stability and imaging reliability.

Methods and systems for ultrasound imaging are provided. In one example, a method includes receiving, with a wireless handheld probe assembly, ultrasound signals of a region of interest; generating, within the wireless handheld probe assembly, a plurality of received digital signals based on the received ultrasound signals; generating each of a larger data set and a smaller data set from the plurality of received digital signals; transmitting the smaller data set from the wireless handheld probe assembly to a hub via a lower bandwidth wireless connection; transmitting the larger data set from the wireless handheld probe assembly to the hub via a higher bandwidth wireless connection; generating, at the hub, a low resolution image from the smaller data set and a high resolution image from the larger data set; and transmitting the low resolution image from the hub to a first display and the high resolution image from the hub to an electronic device.

The embodiment of the invention provides a PID self-adaptive control ultrasonic imaging method and system based on direct-current motor constant-speed driving. The method comprises the steps that an acquisition signal of a target position is acquired; wherein the target position is a target blood vessel in peripheral blood vessels; based on the acquired signal, controlling an ultrasonic probe of the catheter to perform rotary scanning through a motor to obtain ultrasonic echoes; processing the ultrasonic echo through a preset ultrasonic imaging module to obtain an ultrasonic signal image; and performing coordinate transformation on the ultrasonic signal image to obtain a cross section image and a longitudinal section image of a target blood vessel corresponding to the target position. According to the scheme, the ultrasonic imaging stability of the system can be improved, so that the image quality of the cross section image and the longitudinal section image of the target blood vessel is improved.

The application discloses a method for obtaining a left ventricular papillary muscle target section and an ultrasonic evaluation method thereof, which comprises obtaining a standard basic section conforming to a guideline, and then determining a corresponding target section and a two-dimensional ultrasonic probe adjustment mode according to a front-lateral or rear-medial papillary muscle type to be imaged and a current standard basic section. Through taking the probe pose when the standard basic section is obtained as a benchmark, the two-dimensional ultrasonic probe is rotated by a specified angle or is directionally tilted under the premise of maintaining an acoustic window unchanged, so that an image of the target section clearly displaying a specific papillary muscle long axis or short axis shape is obtained; the problem of incomplete papillary muscle imaging and distorted shape caused by the fixed section of the conventional two-dimensional ultrasonic is solved, the target section can be repeatedly and stably obtained, and the integrity and accuracy of the papillary muscle ultrasonic imaging are significantly improved.

The present application relates to a kind of based on respiratory compensation's ultrasonic probe contact pressure self-adaptive control method, comprising: obtaining body surface fluctuation and contact pressure signal and generating displacement and pressure data;Displacement data is input into respiratory mode prediction model, extracts current respiratory phase feature and infers the expected fluctuation amplitude of next cycle;If amplitude is over threshold, then based on the displacement trend function generated by phase feature, calculate probe position and pressure compensation amount;Accordingly, instruction drives mechanical arm to maintain contact pressure in preset range.The present application realizes the initiative synchronous servo of probe by predicting body surface fluctuation trend, overcomes the lag defect of passive feedback, effectively improves ultrasonic imaging stability and examination efficiency.

The application discloses an ultrasonic imaging system for accurately collecting heart sections in any body position, which comprises a plurality of two-dimensional ultrasonic arrays randomly distributed in space, a multichannel ultrasonic signal collecting module and a three-dimensional ultrasonic imaging module; the plurality of two-dimensional ultrasonic arrays, the multichannel ultrasonic signal collecting module and the three-dimensional ultrasonic imaging module are sequentially connected; wherein the plurality of two-dimensional ultrasonic arrays comprises a plurality of ultrasonic transducer arrays forming sub-area line scanning or sub-area surface scanning or cross surface scanning; the application provides doctors with more detailed images, which is helpful for more accurately positioning and evaluating lesions; can solve the problems of difficulty in collecting correct imaging sections, imaging section changes in motion and the like in wearable ultrasonic heart imaging; is not only suitable for the heart, but also suitable for the brain, the liver, the kidney, the urinary bladder, the abdominal aorta, the inferior vena cava and the like human tissues and parts.

The present application relates to the technical field of nondestructive testing of nuclear power equipment, and provides a nuclear power metal welded joint nondestructive testing method based on ultrasonic phased array imaging and application, comprising calculating the ultrasonic longitudinal wave velocity and transverse wave velocity of the nuclear power metal material; calculating the defect acoustic scattering response distribution under different angles of the organic glass wedge; using an ultrasonic array detection system, identifying bright spot abnormal points in an ultrasonic phased array scanning image and full matrix capture data corresponding to the positions; using a time reversal operator decomposition algorithm to perform signal denoising processing, obtaining denoised ultrasonic array signals; calculating the propagation time of the sound waves emitted by each element of the ultrasonic phased array after refraction through the glass wedge to each grid point, obtaining the Hilbert transform value of each grid point corresponding to the propagation time, and generating an ultrasonic imaging graph of the region; performing delay multiplication superposition and vector coherence factor denoising processing on the imaging data, and obtaining a welded joint nondestructive testing imaging result.

An on-chip ultrasonic imaging system for autonomous scanning includes an on-chip input memory configured to store scan sequence instructions and parameters, an on-chip processor configured to read scan sequence instructions and parameters from the input memory, and an on-chip beamformer configured to be programmed and timed by the processor according to the scan sequence instructions and parameters. In some examples, the scan sequence instructions and parameters are stored in factory-programmed non-volatile input memory. In other examples, the scan sequence instructions and parameters are received from an external user device. Scan parameters are optimized or minimized to fit the limited input memory capacity. In some examples, the scan sequence instructions and parameters include programmable nested loops, each of which corresponds to transmit and / or receive events in the scan sequence.

The present application relates to the technical field of ultrasonic detection, and discloses a heart valve ring parameter measurement method and device, an electronic device and a storage medium, wherein the present application processes a heart section image sequence obtained in a first ultrasonic imaging mode to determine a sampling point of a target valve ring, wherein the first ultrasonic imaging mode is an imaging mode for displaying a two-dimensional image; imaging is performed at the sampling point using a second ultrasonic imaging mode to obtain a motion atlas of the target valve ring, wherein the second ultrasonic imaging mode is an imaging mode for displaying a motion atlas; the motion atlas of the target valve ring is processed to determine a motion trajectory curve of the target valve ring; and the valve ring parameter of the target valve ring is determined based on the motion trajectory curve of the target valve ring. Thus, the measurement process of the heart valve ring parameter is simplified, and the accuracy, consistency and repeatability of the measurement result are improved by automatically selecting a sampling line and automatically calculating a valve ring parameter.

The application relates to the technical field of medical ultrasonic imaging and digital image processing, in particular to an ultrasonic elasticity image denoising and enhancing method, which comprises the following steps: acquiring original ultrasonic elasticity imaging data to be processed, and constructing a structure tensor matrix reflecting local texture directions; solving the anisotropic coherence degree of each pixel point, obtaining a structure attribute discrimination result, and constructing a structure confidence atlas; collecting the point spread function characteristics of an ultrasonic imaging system, establishing a speckle noise statistical model; obtaining a local smoothing coefficient of the first iteration, and performing anisotropic diffusion correction on an initial elasticity distribution matrix to obtain a first modified elasticity image matrix, and updating the structure confidence atlas to obtain a final denoised and enhanced target elasticity image; the application effectively suppresses multiplicative granular speckles, eliminates the ladder effect or artifacts easily generated by conventional methods, and significantly improves the image signal-to-noise ratio.

An elasticity measurement method, a matching method based on an elasticity image and an ultrasonic imaging system, the elasticity measurement method comprising: acquiring at least two frames of shear wave elasticity images of a target tissue based on shear wave elasticity imaging; selecting at least one first shear wave elasticity image from the at least two frames of shear wave elasticity images; determining a first target region in the at least one first shear wave elasticity image, and obtaining a first elasticity measurement result according to an elasticity measurement value of the first target region; and determining a second target region in at least one second shear wave elasticity image from the at least two frames of shear wave elasticity images other than the first shear wave elasticity image based on the first target region, and obtaining a second elasticity measurement result according to an elasticity measurement value of the second target region. The present application can automatically measure multiple frames of shear wave elasticity images without the user determining the target region frame by frame, thereby simplifying the operation process.

This specification provides ultrasound coupling agents and methods for using them in ultrasound imaging of a target. The ultrasound imaging may be invasive ultrasound imaging. Methods for preparing ultrasound coupling agents and methods for formulating ultrasound coupling agents are also provided herein. An aqueous ultrasound coupling agent comprising a) at least one triglyceride in about 60.0 to about 80.0 g / L, b) at least one phospholipid in about 3.2 to about 5.2 g / L, c) water, d) pH buffer, and e) glycerol is described herein, wherein the ultrasound coupling agent has an attenuation constant of about 0.15 dB / (MHz*cm) to about 0.60 dB / (MHz*cm) or about 0.002 to about 1.0 dB / (MHz*cm).

The application discloses a kind of self-operation control method and system of mine intelligent pressure relief machine, and the self-operation control method includes: obtaining the real-time image data of roadway surrounding rock, the image data is inferred based on YOLOv11 model, high-risk area and corresponding spatial position information are identified;Fusion laser radar point cloud data and visual image data, construct the three-dimensional semantic map of roadway, and plan the autonomous walking path based on the spatial position information of high-risk area;Control pressure relief machine moves to target operation point along the autonomous walking path, controls drill rod rotating mechanism and telescopic mechanism to execute drilling operation according to preset pressure relief parameter;When drilling to preset depth, automatically trigger reaming instruction, control umbrella type hydraulic reaming mechanism to open radially, and execute variable-diameter reaming operation;Obtain the ultrasonic imaging data in borehole and surrounding rock microseismic monitoring data, invert hole stress distribution state, and generate pressure relief effect evaluation result.

A maternal fetal monitor includes a display, a processing device, and a memory device. The memory device includes instructions that are executable by the processing device to display a cardiotocogram for a maternal patient and a fetus of the maternal patient. Additionally, the instructions are executable by the processing device to display, in response to a request, an ultrasound image based on a plurality of ultrasound signals that are generated by, and detected by, an ultrasound imaging probe that is in communication with the maternal fetal monitor.

The present application relates to an ultrasonic intelligent nondestructive testing method based on pose adjustment of a probabilistic convolutional neural network, and belongs to the technical fields of mechanical engineering, optical engineering, nondestructive testing and automated detection. The method comprises the following steps: initializing ultrasonic testing parameters; generating a standard scanning path for a mechanical arm; pre-processing ultrasonic waveform signals; ultrasonic imaging and defect identification using a probabilistic convolutional neural network; inputting the ultrasonic imaging results into the probabilistic convolutional neural network for defect identification processing, to obtain a classification result of the presence or absence of a defect, a corresponding predicted uncertainty of the defect and defect size information; and determining the classification result of the presence or absence of a defect and the corresponding predicted uncertainty output by the probabilistic convolutional neural network. By introducing a deep learning model to predict the uncertainty as an online feedback quantity, a scanning control mechanism based on uncertainty determination is established, so that the detection process can dynamically adjust the scanning path and the probe pose according to the reliability of the identification result.

An ultrasound imaging system includes an ultrasound imaging probe with a transducer array configured to emit ultrasound pressure fields and receive echo signals during a sweep of the probe and a tracking sensor configured to track a spatial location and orientation of the ultrasound imaging probe during the sweep, a beamformer configured to generate a set of 2-D ultrasound images for the sweep based on the received echo signals, a visualization module configured to segment tissue of interest in each 2-D ultrasound image of the set of 2-D ultrasound images, generate a mask image of the tissue of interest for each segmented image, convert each mask image to a 3-D graphical representation of the tissue of interest and arrange the 3-D graphical representations in 3-D space based on corresponding tracked spatial location and orientation, and a display monitor configured to present the 3-D graphical representations as a 3-D visualization.

This invention discloses a method, apparatus, and storage medium for determining tissue operation parameters based on a detection device. The method includes: under a preset pressure condition, controlling a transmitting module to send a first excitation signal to a second piezoelectric layer, whereby the second piezoelectric layer converts the first excitation signal into a first ultrasonic signal, and controlling the second piezoelectric layer to emit the first ultrasonic signal towards the tissue to generate a shear wave; controlling the transmitting module to send a second excitation signal to the second piezoelectric layer, whereby the second piezoelectric layer converts the second excitation signal into a second ultrasonic signal, and controlling the second piezoelectric layer to emit the second ultrasonic signal towards the tissue to track the shear wave; controlling a receiving module to receive the echo signal of the second ultrasonic signal, and obtaining ultrasonic imaging data and shear wave elastography data of the tissue based on the echo signal; and determining the operation parameters for operating the tissue. The determined operation parameters have high accuracy, thereby greatly improving the precision of the operation.

The application discloses an intelligent indwelling needle puncture robot under ultrasonic guidance and a system thereof, and belongs to the field of medical instruments, and comprises a multi-degree-of-freedom mechanical arm system, a high-definition ultrasonic imaging module, a central processing and control unit, a man-machine interaction interface and a safety monitoring and emergency unit; the multi-degree-of-freedom mechanical arm system comprises a probe control mechanical arm and a puncture execution mechanical arm, and the probe control mechanical arm is used for clamping and adjusting the position and posture of an ultrasonic probe; the application is characterized in that the high-definition ultrasonic imaging module is used for optimizing the image, an AI blood vessel recognition and segmentation module is combined to accurately recognize the blood vessel and obtain relevant parameters, an intelligent path planning module is used for planning an optimal path for avoiding dangerous areas, and the multi-degree-of-freedom mechanical arm system is used for fine operation, so that the problem of insufficient accuracy caused by poor blood vessel conditions in manual puncture is effectively solved, the probability of repeated puncture is reduced, and complications such as blood vessel injury and hematoma are reduced.

The application discloses a kind of fast super-resolution ultrasonic imaging methods based on deep learning, comprising the following steps: obtaining ultrasonic positioning microscope microvessel image;Resolution is improved to microvessel image by constructing super-resolution generative adversarial network;CNN+Transformer network architecture is built, high-resolution image output by super-resolution generative adversarial network is used as label, B mode ultrasonic microbubble image sequence is used as input, network is trained, and super-resolution microvessel image is quickly generated.The application uses super-resolution generative adversarial network, and the resolution of microvessel image from ULM is greatly improved, and the resolution of image is greatly improved compared with general convolutional neural network.