74 results about "Shear wave elastography" patented technology

The invention discloses an accurate acupuncture positioning method under ultrasonic guidance, which relates to the technical field of medical health and comprises the following steps: acquiring a two-dimensional or three-dimensional ultrasonic image of a target area by utilizing ultrasonic image acquisition equipment; the Young modulus of the target area is calculated by measuring the shear wave propagation speed of the tissue of the target area; a sensor module is adopted to monitor the interaction force between the puncture needle and the tissue in real time, and mechanical data are obtained; according to Young modulus and modulus variance obtained through calculation of the shear wave elastography image and mechanical data fed back by a sensor, a time sequence feature vector is constructed; performing dynamic modeling and prediction on the tissue state in the puncture process by using a long-short-term memory neural network; the path offset of the needle head is judged, a correction signal is generated through a PID controller, and the posture or direction of the needle head is adjusted in real time; the problem of artifacts in a traditional ultrasonic image can be solved, more accurate acupuncture path planning is provided, and the method adapts to the change of tissue elasticity in real time.

The invention belongs to the technical field of medical imaging, and provides a tissue stress measurement method and system based on a reverberation shear wave field, and the method comprises the steps: applying steady-state harmonic excitation, and obtaining the reverberation shear wave field of a target tissue; determining a stress direction according to the prior information of the target tissue, and constructing a stress direction vector; constructing an analytic operator, and extracting an intermediate characteristic quantity of the reverberation shear wave field; and according to the intermediate characteristic quantity, combining stress direction inversion to reconstruct spatial stress distribution. According to the method, a complex reverberation wave field is modeled into superposition of multi-direction propagation wavelets by utilizing anisotropic propagation characteristics of shear waves and combining a traveling wave expansion model, and characteristic quantities related to local stress and material parameters are directly extracted from the reverberation wave field by designing a wave field operator with physical significance; the three technical problems existing in a traditional shear wave elastic imaging technology are solved, the dependence of a traditional method on a single propagation direction and wave pattern controllability is broken through, and in-situ, in-vivo and non-invasive quantification is achieved.

Various examples are provided related to methods and systems to reconstruct 3D image / map for the stiffness of soft tissues. In one example, a method includes obtaining particle velocities from generated mechanical waves in tissue of a subject; reconstructing a stiffness map of soft tissue in a region of interest (ROI) from the particle velocities; and generating an image of the stiffness map for rendering on a user device. In another example, a system includes an ultrasound scanner for shear wave elastography (SWE) and a computing or processing device that can obtain particle velocities; reconstruct a stiffness map of soft tissue in a ROI from the particle velocities; and generate an image of the stiffness map for rendering. The particle velocities can be generated from acoustic radiation forces produced by the ultrasound scanner.

The invention provides a multi-mode ultrasonic monitoring method for degradation of a PFO degradable plugging device, and relates to the technical field of cardiovascular ultrasonic medical treatment. The multi-mode ultrasonic monitoring method for degradation of the PFO degradable occluder aims to overcome the technical defects that in the prior art, a single ultrasonic mode cannot achieve degradation progress quantification of the occluder, precise identification of residual shunt and evaluation of the integration degree of surrounding myocardial tissue at the same time. According to the method, three modalities of real-time three-dimensional transthoracic ultrasound (RT-3D TTE), ultrasonic contrast (CEUS) and shear wave elastography (SWE) are cooperatively applied, the form, hemodynamics and tissue elasticity data of the occluder are collected in stages, non-invasive, dynamic and accurate monitoring of the whole degradation process of the occluder is achieved in combination with preset quantitative indexes, and a reliable basis is provided for clinically adjusting a treatment scheme.

The embodiment of the present invention discloses a three-dimensional shear wave elastic imaging method, system and related device, wherein the system uses a one-dimensional ultrasonic probe to realize beam deflection in one direction, and drives the ultrasonic probe to translate or rotate through an external first motor, so as to collect ultrasonic imaging of multiple planar test areas, and obtain deformation images in three-dimensional space according to target deformation images corresponding to multiple planar test areas, and can obtain deformation images in three-dimensional space without expensive two-dimensional or 1.5D matrix ultrasonic transducers. This method divides the imaging area into N sub-imaging areas of preset sizes, and ultrasonic imaging is performed on the target sub-imaging area with a preset time interval before and after, and the target deformation image is obtained based on the deformation amount between the first ultrasonic image and the second ultrasonic image. Each ultrasonic emission and excitation only needs to excite a small area, so that high frame rate tissue deformation tracking can be achieved.

A method and system (100) for augmented interpretation of shear wave elastography between first and second imaging modalities comprises performing an elastography measurement via a second imaging modality (20), different from a first imaging modality (10), to obtain at least one second imaging modality elastography value (32, 60) of a region of interest (33). At least one corresponding first imaging modality elastography value (36, 38, 62) is predicted based on the obtained second imaging modality elastography value. A graphical user interface or smart report dashboard (50) is generated that shows (i) a fibrosis level (521) of the region of interest, wherein the fibrosis level is determined as a function of (i)(a) the at least one second imaging modality elastography value (32) and / or (i)(b) the predicted at least one corresponding first imaging modality elastography value (36, 38).

The invention discloses an ultrasonic shear wave elastography-based intrameniscus tearing quantitative evaluation method and system, and relates to the technical field of computer-aided diagnosis. The method is used for solving the problem of insufficient quantification of meniscus tearing detection. The method comprises the following steps: firstly, fixing a knee joint at a preset buckling angle, exciting shear waves along an annular fiber direction and a vertical direction, and collecting ultrasonic radio-frequency signals of an affected side meniscus and an uninjured side meniscus in different load states; then, a three-dimensional anisotropic elastic atlas is constructed based on the shear wave propagation velocity field, and spatial elastic distribution characteristics of the tissue are obtained; thirdly, calculating an elastic continuity index, a spatial variation coefficient and an abnormal region morphological parameter, and quantitatively representing the continuity and local tearing characteristics of the tissue structure; and finally, inputting the multi-dimensional features into a multi-branch neural network, fusing the features through a cross-branch attention mechanism, and outputting a meniscus tearing quantitative evaluation value, thereby realizing intelligent and objective evaluation of the tearing degree, and providing a basis for clinical diagnosis and postoperative rehabilitation.

The invention relates to the technical field of ultrasonic imaging, in particular to an ultrasonic elastography optimization method and application of the ultrasonic elastography optimization method in diffuse lesion ultrasonic elastography classification and grading, and the optimization method comprises the following steps: obtaining multiple groups of shear wave elastography data to construct a three-dimensional space data set, and then, local curve fitting and abnormal peak detection are adopted to eliminate operation errors, spherical space weighted mean filtering is adopted to suppress motion artifacts, and finally, an optimized two-dimensional elastic distribution diagram is generated. And the image classification and grading system associates the optimized data with pathological grading, and constructs a classification and grading model by utilizing machine learning. According to the method, the problem of measurement deviation caused by factors such as operator manipulation difference, patient body position change and tissue motion artifacts in an existing ultrasonic elastography technology is effectively solved, and the accuracy and reliability of elastography data are remarkably improved.

The application relates to an automatic analysis method and system of ultrasonic shear wave elastography, which acquires a standard anatomical section image of a target tissue, performs pre-quality control, performs uniformity evaluation on a preset measurement region, and determines a target region to be measured; the ultrasonic imaging equipment is automatically controlled to switch to a shear wave elastography mode through a software control interface, color-coded elastic images of the target region to be measured are collected, a multi-modal guided cascade optimization segmentation network is used to perform automatic quality evaluation and region segmentation on the collected color-coded elastic images, and an effective elastic signal region is obtained; from the effective elastic signal region, multi-dimensional pixel value distribution features which are the same as those in a training stage of an elastic value prediction model are extracted; the extracted multi-dimensional pixel value distribution features are input into the pre-trained elastic value prediction model, and an elastic value prediction result corresponding to the target tissue is output, so that full-process automation and standardization from image collection to result analysis are realized, and the analysis efficiency is improved.

The invention provides a rehabilitation training system for postpartum pelvic floor dysfunction diseases based on multi-modal ultrasound, and the rehabilitation training system integrates multi-modal evaluation, personalized graded training and dynamic training scheme adjustment. The method comprises the steps that pelvic floor two-dimensional ultrasonic parameters, pelvic floor three-dimensional ultrasonic parameters and shear wave elastography (SWE) parameters are collected, a target muscle area is automatically positioned through an image recognition model, the average gray value of an area of interest is calculated, if the average gray value is larger than a preset muscle gray threshold value, effective positioning is judged, and an evaluation result is obtained based on effective positioning; the rehabilitation training module is used for grading based on the evaluation result, formulating a corresponding rehabilitation training scheme, executing the rehabilitation training scheme and recording the rehabilitation training scheme in real time at the same time; and quantifying the evaluation result difference through a statistical analysis algorithm, and if the evaluation result is not improved, automatically adjusting the rehabilitation training scheme according to the non-improvement degree.

Shear wave phase velocity is estimated from measurements of shear wave motion obtained using ultrasound shear wave elastography or other suitable elastography techniques. Shear wave dispersion curves are generated using a combined generalized Stockwell transform and slant wave number-frequency analysis. A modified version of the S-transform is used to control the time-frequency resolution of a time-frequency decomposition of a signal.

The invention provides an ultrasonic plane wave multi-mode cooperative imaging method and system, and the method comprises the steps: controlling an ultrasonic probe to execute shear wave elastic imaging and sound attenuation imaging of which the mechanical index is equal to or greater than a first threshold value based on a multi-level voltage control scheme; and executing super-resolution imaging with the mechanical index smaller than or equal to a second threshold value after the super-resolution imaging is completed. The method comprises the following steps: acquiring a sound attenuation coefficient graph generated in a sound attenuation imaging process, and respectively acquiring a first super-resolution graph without contrast agent perfusion, a second super-resolution graph with contrast agent perfusion and a tissue elasticity graph generated in a shear wave elasticity imaging process based on an ultrafast plane wave technology; performing post-processing on the collected first super-resolution graph to generate a probability density graph of the tissue structure, and performing post-processing on the collected second super-resolution graph to generate a microbubble tracking speed graph; and carrying out cooperative imaging on the tissue elasticity map, the sound attenuation coefficient map, the probability density map and the velocity map. The imaging comprehensiveness and accuracy are improved, and early lesion diagnosis is facilitated.

The present disclosure includes ultrasound systems and methods for imaging anisotropic tissue with shear wave elastography at a variety of angles with respect to the tissue. An example ultrasound imaging system includes a probe coupled to a position tracking system for tracking a position of the probe with respect to a subject, and a processor in communication with the probe. The processor may receive position tracking data from the position tracking system. The processor may define at least one target plane in anisotropic tissue, determine a difference between a current position of the probe and the position of the target plane, and provide a visual indicator of the difference, wherein the processor dynamically updates the visual indicator responsive to a change in the position of the imaging plane with respect to the target plane.

The invention relates to the technical field of shear wave elastography, in particular to a shear wave elastography optimization processing system which comprises a data acquisition module, a fusion analysis module and an output control module. The system obtains shear wave propagation data and auxiliary detection data, extracts tissue characteristic parameters and performs grouping processing, constructs a compensation function by using a weight coefficient to optimize a characteristic distribution interval, and generates a tissue model based on a three-dimensional modeling technology to realize high-precision imaging of a complex tissue environment. According to the invention, imaging precision, real-time performance and operation convenience can be effectively improved, algorithm complexity is reduced, and stability and adaptability of the system are enhanced.

The embodiment of the invention provides a shear wave image generation method and device and ultrasonic equipment, and relates to the technical field of shear wave elastic imaging. The ultrasonic device comprises: at least one probe for transmitting an ultrasonic signal; the processor is used for detecting an echo signal of the ultrasonic signal; determining the background echo intensity of each detection position point of the target detection part and the displacement peak value of each detection position point based on the detection result of the echo signal; based on the displacement peak value of each detection position point, determining the shear wave speed of the shear wave when the shear wave is propagated at each detection position point; for any detection position point, determining display parameters of the detection position point according to the background echo intensity of the detection position point and the displacement peak value of the detection position point; generating a shear wave image based on the shear wave speed corresponding to each detection position point and the display parameter of each detection position point; and the display screen is used for displaying the shear wave image.

The application discloses an operation parameter determination method, device and equipment and a readable storage medium, wherein the operation parameter determination method comprises the following steps: acquiring an actual pressure applied to a skin surface by a detection probe when the detection probe applies pressure to the skin surface of an area where target tissue is located; collecting ultrasonic imaging data and / or shear wave elastography data of the target tissue and other tissue around the target tissue by the detection probe in the case that the actual pressure matches a target pressure range corresponding to the target tissue; and determining an operation parameter when the target tissue is operated based on the ultrasonic imaging data and / or the shear wave elastography data. The determined operation parameter has high accuracy, and thus the operation precision can be improved.

The present application relates to the technical field of ultrasound, in particular to an elastic imaging system. When the first pressure measured by the first liquid injection pressure detection device reaches the first target pressure value, the shear wave elastic imaging probe of the elastic imaging system emits the first ultrasonic signal to generate the shear wave; when the second pressure measured by the second liquid injection pressure detection device reaches the second target pressure value, the shear wave is generated by the vibrator; the processing assembly determines the target detection probe from the shear wave elastic imaging probe or / and the transient elastic imaging probe, and controls the target detection probe to emit the second ultrasonic signal to the tissue to be measured and receive the ultrasonic echo signal after the shear wave is generated by the target detection probe; the ultrasonic data is generated according to the ultrasonic echo signal; the processing result corresponding to the tissue to be measured is determined by processing the ultrasonic data. The accuracy of the determined processing result is ensured, the use is more convenient, and the detection efficiency is improved.

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.

The invention provides a high-frequency ultrasonic shear wave elastography system and method, and the method comprises the steps: determining the layout parameters of a dual-frequency array probe based on medical imaging demands, and determining the working parameters of the dual-frequency array probe according to the layout parameters, controlling the dual-frequency array probe to excite a high-frequency array to emit ultrasonic waves to a target medium according to the working parameters to obtain an ultrasonic image, controlling the dual-frequency array probe to excite a low-frequency array to emit ultrasonic waves to the target medium according to the working parameters to excite shear waves in a region of interest of the target medium to obtain a shear wave image; on the basis of a high-frequency array, ultrasonic waves are emitted to a region of interest, the shear wave speed is detected, an elastic image is formed, shear wave excitation and ultrasonic image imaging are performed by using arrays with different frequencies, high and low frequency detection on a detection region by using a double-frequency probe is realized, and the situation that the detection region cannot be accurately found again due to probe switching is avoided; and the accuracy of medical image detection is realized.

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 invention provides a method for screening left atrial appendage thrombus by using a multi-mode ultrasonic technology, and relates to the technical field of medical ultrasonic diagnosis. According to the method for screening the left atrial appendage thrombus by using the multi-mode ultrasonic technology, through a layered screening process of noninvasive primary screening, precise secondary screening and comprehensive judgment, the technical advantages of four complementary modes of transthoracic ultrasound (TTE), transesophageal ultrasound (TEE), ultrasonic contrast (CEUS) and shear wave elastography (SWE) are integrated, primary risk stratification is completed by using noninvasive TTE, and secondary risk stratification is completed by using noninvasive TTE; tEE is combined with CEUS and SWE to achieve multi-dimensional evaluation of the structure, the blood flow and the hardness of the thrombus for high-risk groups, and finally accurate detection and stability evaluation of the thrombus are achieved based on the judgment standard of multi-modal data fusion. According to the method, the detection rate of the left auricle thrombus can be remarkably increased, the unnecessary invasive operation risk is reduced, meanwhile, thrombus stability basis is provided for formulating a clinical anticoagulation treatment scheme, and the method is suitable for conventional screening of thrombus high-risk groups such as atrial fibrillation and the like.

The embodiment of the invention discloses a shear wave elasticity imaging method and system and a computer readable storage medium. The method comprises the following steps: controlling a probe to emit ultrasonic waves to a tested tissue; receiving an ultrasonic echo returned by the tested tissue, and controlling the probe to convert the ultrasonic echo to obtain an ultrasonic echo signal; acquiring a reference image of the tested tissue in the first state based on the ultrasonic echo signal; acquiring a contrast image of the tested tissue in a second state based on the ultrasonic echo signal in a shear wave imaging mode; determining the pressure state of the tested tissue relative to the probe in the second state according to the reference image and the contrast image; and controlling to display prompt information corresponding to the pressure state. According to the embodiment of the invention, the pressure state between the probe and the tested tissue is determined through the ultrasonic image, and the corresponding prompt information is output, so that a user can conveniently determine the accuracy of the obtained elasticity information of the tested tissue according to the prompt information.

The application belongs to the technical field of ultrasonic imaging, and relates to an elastic imaging method and system, which comprises the following steps: obtaining a characteristic direction of tissue from an ultrasonic image; respectively exciting shear waves propagating along a direction extending along a to-be-detected tissue and a direction forming a preset angle with the to-be-detected tissue according to the characteristic direction; exciting a longitudinal wave into the to-be-detected tissue through an ultrasonic probe, and generating a reflection echo after the longitudinal wave reaches the tissue; obtaining a shear wave velocity and a shear wave dispersion curve according to the reflection echo; fitting a shear wave velocity and a tissue elasticity equation, and calculating a tissue elasticity characteristic according to the shear wave velocity and the shear wave dispersion curve. The shear wave elastic imaging under the conditions of non-uniformity, anisotropy, complex structure and viscoelasticity can be realized, and more objective tissue mechanical parameters can be obtained.

Disclosed are a shear wave elasticity measurement method and a shear wave elasticity imaging system. For each pair of corresponding shear waves, an echo signal within a continuous period of time can be obtained only at a third position, so that an elasticity parameter corresponding to the target area can be obtained according to the echo signal within the continuous period of time. Not only the position required for obtaining an echo signal is few, but also the total data volume required for obtaining the echo signal is few; the calculation method is also easy, which significantly reduces the system performance requirement.

The invention discloses a liver microwave ablation cell inactivation rate noninvasive evaluation device based on Young modulus, which is characterized in that a user terminal, a main control board, a microwave source and a microwave ablation needle are sequentially connected, and a linear shear wave elastic imaging diasonograph and an array ultrasonic probe are sequentially connected; liver minimally invasive microwave ablation can be carried out by utilizing the built liver microwave ablation cell inactivation rate non-invasive evaluation device. The method comprises the following steps: measuring Young moduli corresponding to different ablation areas in liver minimally invasive microwave ablation, and obtaining cell inactivation rates of the different ablation areas through cell activity flow experiments of the different ablation areas; fitting modeling is conducted on the average Young modulus and the average cell inactivation rate of the different ablation areas, and a cell inactivation rate-Young modulus model is obtained. Therefore, an effective cell inactivation rate and Young modulus relation model is established, the cell inactivation rate of the microwave ablation tissue is estimated through the Young modulus obtained in real time, the ablation effect is accurately evaluated, and real-time 2D evaluation of microwave ablation is achieved.

Shear wave elastography and / or other ultrasound imaging procedures are performed using a data acquisition technique in which data are acquired with high SNR while maintaining a high PRFe, using conventional clinical ultrasound scanners. In general, ultrasound data are acquired using plane waves at different angles, after which a time alignment process is applied to the acquired data. The time alignment uses interpolation to obtain data points at higher frame rates, and the time-aligned data is compounded to increase the SNR.

The invention belongs to the technical field of electric wire and cable detection, particularly discloses an electric wire and cable conductor insulation performance test method, and aims to solve the problem that insulation microscopic degradation is difficult to recognize in an early stage by a traditional electrical measurement method. The method comprises the following steps: applying nanosecond voltage pulse excitation to a conductor to excite mechanical vibration waves in an insulating medium; acquiring a shear wave time domain signal and extracting a propagation speed by using an acoustic sensor array surrounding the cable; elastic modulus space distribution is calculated through an inverse problem reconstruction algorithm; synchronously acquiring partial discharge signal characteristics; and carrying out time-space alignment fusion on the two, constructing a comprehensive evaluation model, and outputting a quantitative result of the micromechanical embrittlement degree and the irreversible thermal aging level. By introducing the shear wave elastic imaging principle and combining multi-source information fusion analysis, non-destructive and high-sensitivity early diagnosis of the insulation state of the in-service cable is realized, the early warning capability is improved, and the method is suitable for online detection and intelligent operation and maintenance of various laying scenes.

A method and system for two-dimensional shear wave elastography imaging (SWEI) that acquires B-mode ultrasound image of a region, selects an area of the B-mode image, automatically acquires two-dimensional shear wave elastography imaging data related to the selected area, and displays elasticity / velocity map on the selected area and optionally a reliability map. An algorithm takes as input one or combination of data sets selected from B-mode raw data or B-mode image data or elasticity / velocity map or reliability map or—raw two-dimensional shear wave elastography imaging data inside selected area, or two-dimensional shear wave elastography imaging data at an intermediate stage of processing like displacement curves over time or their peak features, and outputs the 2D coordinate of measure ROI center. Measure ROI overlapped on the B-mode image and / or on the elasticity map and / or on the reliability map is displayed. An elasticity parameter inside the measure ROI is computed, optionally weighted, and displayed.

The present disclosure includes ultrasound systems and methods for imaging anisotropic tissue at various angles relative to the tissue using shear wave elastography. An exemplary ultrasound imaging system includes: a probe coupled to a position tracking system, the position tracking system being used to track the position of the probe relative to an object; and a processor in communication with the probe. The processor can receive position tracking data from the position tracking system. The processor can: define at least one target plane in the anisotropic tissue, determine a difference between a current position of the probe and a position of the target plane, and provide a visual indicator of the difference, wherein the processor dynamically updates the visual indicator in response to a change in the position of the imaging plane relative to the target plane.

An intraoperative probe combines Raman spectroscopy, shear wave elastography (SWE), and photodynamic therapy (PDT), preferably in a single hand-held device with real- time machine learning analysis. The machine learning independently analyzes and then fuses the data from different modalities for real-time cancer diagnostic predictions. The approach herein leverages simultaneous (or near-simultaneous) collection and real-time processing of Raman and SWE data for immediate cancer diagnostic feedback and therapeutic action. The hand-held device is precisely configured to target the same focal point with three different modalities - Raman, SWE, and PDT - by positioning the modalities within the device into the same location, either with an array of mirrors or an automatic or manual rotation mechanism.