43 results about "Shear wave elastography" patented technology

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.

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 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 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.

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 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 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.

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.

The invention relates to a shear wave elastic imaging method and system. The method comprises the following steps: for any to-be-imaged target imaging area, at least performing area division processing on the target imaging area so as to divide the target imaging area into a plurality of imaging sub-target areas which are arranged in sequence, and determining an area excitation tracking state of each imaging sub-target area, on the basis of the area excitation tracking state of each imaging sub-target area, shear wave excitation tracking is carried out on the imaging sub-target area, and area shear wave information of each imaging sub-target area is determined; target area image information of the target imaging area is generated based on the area shear wave information of all the imaging sub-target areas, and the target area image information comprises a shear wave elastic image and / or a credibility image. According to the method, the calculation efficiency and robustness of shear wave elastography can be improved.

The invention discloses a displacement estimation method and system for transcranial ultrasonic shear wave viscoelastic fluid imaging, and belongs to the technical field of ultrasonic medical image processing, and the method comprises the steps: dividing ultrasonic radio frequency data after beam forming into a plurality of independently processed data blocks; the ultrasonic radio frequency data comprises two frames of ultrasonic radio frequency signals collected before and during shear wave propagation; constructing a cost function for each data block, wherein the cost function comprises a data similarity item and a mixed-order displacement continuity constraint item; performing linearization processing on the cost function, and converting a nonlinear optimization problem into a linear problem; establishing and solving a linear equation set to obtain local displacement of each data block; and splicing the local displacement of each data block to form a global displacement field. According to the method, high-precision estimation of the transcranial shear wave displacement and reliable evaluation of the viscoelastic fluid property of the brain tissue can be realized, relatively efficient and accurate displacement estimation is kept in a transcranial high-noise environment, and the performance of transcranial ultrasonic shear wave elastography is improved.

An ultrasonic imaging method and ultrasonic imaging system, the method comprising: acquiring a first three-dimensional shear wave elastography image and a first two-dimensional tissue image of a target tissue in a first stage, both corresponding to a same ultrasonic probe position; in a second stage for the target tissue, generating a plurality of real-time two-dimensional tissue images, matching the same with the first two-dimensional tissue image, and determining a second two-dimensional tissue image matched with the first two-dimensional tissue image; generating a two-dimensional shear wave elastography image corresponding to a plurality of sections of the target tissue at the ultrasonic probe position corresponding to the second two-dimensional tissue image; generating a second three-dimensional shear wave elastography image based on the two-dimensional shear wave elastography images corresponding to the plurality of sections of the target tissue; displaying the first three-dimensional shear wave elastography image and the second three-dimensional shear wave elastography image on the same screen; and / or obtaining and displaying a contrast analysis result of the target tissue between the first stage and the second stage based on the two to represent changes of the target tissue in different stages.

This invention discloses a method, apparatus, and storage medium for determining tissue operation parameters based on a detection device. The detection device includes an elastic detection probe and a pressure detection device connected to the elastic detection probe. The pressure detection device includes a pressure measuring device and a pressure sensing device. The pressure sensing device includes a liquid chamber for containing liquid, and the pressure measuring device is connected to the liquid chamber. The method includes: when the elastic detection probe presses against the skin surface of the target tissue area through the pressure sensing device, the pressure measuring device detects the hydraulic pressure in the liquid chamber; when the hydraulic pressure meets a preset pressure range, the elastic detection probe collects ultrasound imaging data and shear wave elastography data of the target tissue and other surrounding tissues; based on the ultrasound imaging data and shear wave elastography data, the operation parameters for operating on the target tissue are determined. The determined operation parameters have high accuracy, thereby improving operational precision.

The application discloses a kind of based on multimodal fusion's thyroid nodule BRAF gene mutation prediction system and method, belong to medical auxiliary diagnosis field, including: data acquisition module, for obtaining the conventional ultrasound image of target thyroid nodule, real-time shear wave elastography quantitative data and puncture cytology image;Multimodal feature extraction module includes ultrasound feature extraction unit, elastic feature extraction unit and cytology feature extraction unit;Feature fusion module is configured to by based on the deep learning model of attention mechanism, the ultrasound image depth feature, the elastic feature and the cytology depth feature are adaptively fused in feature level, and obtain fusion feature;Prediction module is configured to the fusion feature is input into classifier, and the prediction result that whether the target thyroid nodule exists BRAF gene mutation is output.For the precise diagnosis and treatment of thyroid nodule, individualized treatment decision and clinical process optimization provide innovative technical support.

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 present invention patent application pertains to a multiparametric ultrasonographic process and analysis for validating pharmaceuticals, cosmetics, and biophysical effects, relating to an ultrasound analysis technique that uses three tools, along with their extensions and sub-tools, to assess changes in the tissue layers of an area under examination, describing and comparing the findings before and after the application of a cosmetic or pharmaceutical and evidencing their effects on the examined tissues, characterised in that multiparametric analysis is performed, combining high-resolution ultrasonography, high-power Doppler for microcirculation analysis, and strain and shear wave elastography, so as to carry out real-time, in vivo assessment of the effects of pharmaceuticals or cosmetics on the skin or scalp, painlessly and without the use of ionising radiation or any deleterious biological processes.

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.

This invention proposes a rehabilitation training system for postpartum pelvic floor dysfunction based on multimodal ultrasound. This system integrates multimodal assessment, personalized graded training, and dynamic adjustment of training programs. It includes the following multimodal assessment module: This module collects pelvic floor two-dimensional ultrasound parameters, pelvic floor three-dimensional ultrasound parameters, and shear wave elastography (SWE) parameters. It automatically locates the target muscle region using an image recognition model and calculates the average grayscale value of the region of interest. If the average grayscale value is greater than a preset muscle grayscale threshold, it is considered a valid location, and an assessment result is obtained based on this valid location. The rehabilitation training module: Based on the assessment results, it grades the patients and formulates corresponding rehabilitation training programs, executes the rehabilitation training programs, and records the results in real time. A statistical analysis algorithm quantifies the differences in assessment results. If the assessment results show no improvement, the rehabilitation training program is automatically adjusted according to the degree of lack of improvement.

Disclosed is a compound method of shear-wave elastography (SWE) and quasi-static elastography (QSE). The method includes: firstly, pre-scanning is carried out on a target region to obtain a rough comparison relation curve, then real-time scanning is carried out. The rough comparison relation curve is optimized and corrected to obtain an accurate comparison relation curve. Finally, the real-time shear modulus of a large area is calculated according to the real-time elastic relative value of the large area, so that accurate real-time elastography is realized.

Methods and system for characterizing ligament properties using elastography are disclosed. An ultrasound system capable of performing shear wave elasticity imaging and / or supersonic shear imaging may retrieve one or more images from a proposed surgical site. The one or more images may be provided to a surgical planning system that identifies one or more properties of ligaments proximate to the surgical site. Musculoskeletal simulations may be performed using the identified properties to preoperatively identify a surgical plan. Preoperative identification of a surgical plan may enable a surgeon to select from more fine-tuning options for a joint replacement than conventional systems.