68 results about "Arfi elastography" patented technology

The invention relates to the technical field of medical ultrasonic imaging, and particularly discloses an ultrasonic probe pressure real-time feedback system fused with elastography. The system comprises an ultrasonic probe integrated with a multi-dimensional pressure sensing array, an elastic imaging processing module, a central processing unit and a multi-mode feedback module. The probe synchronously collects pressure and echo signals; the central processing unit executes a pressure-elasticity coupling analysis algorithm, dynamically evaluates a scanning state and generates a feedback signal; and the feedback module provides real-time guidance for the operator through the tactile, visual and auditory units. According to the invention, real-time and quantitative monitoring and intelligent feedback of the pressure of the ultrasonic probe are realized, the problem of large variability of an elastic measurement result caused by difference of operation techniques is effectively solved, and the standardization degree, the result accuracy and the clinical universality of examination are improved.

A three-dimensional elastography method based on a vision-based tactile sensor. The method comprises several steps, which respectively involve: performing system construction and data processing, and acquiring contact deformation data collected by a vision-based tactile sensor; performing forward simulation; performing inverse optimization; calculating gradient information inside a target object, deriving the derivative of an objective function with respect to Young's modulus, calculating the partial derivative of a resultant force with respect to an elasticity distribution, and calculating the overall gradient of the objective function with respect to Young's modulus distribution; and outputting a Young's modulus distribution obtained by means of reconstruction and outputting a quantization reliability index. The method can realize accurate reconstruction of a Young's modulus distribution inside soft objects under robotic tactile sampling, and can output a corresponding reliability index, thus having high levels of practicability.

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).

One aspect of the invention relates to an elastography method implemented by an elastography device, the method comprising:-obtaining a respiratory signal relating to a respiratory activity of a subject; and-acquiring a plurality of measurements of a mechanical property of a region of the body of said subject, said region being part of the liver or spleen of said subject, at a repetition rate of at least 4 measurements per second and over a duration of at least 3 seconds; -extracting at least one subset of measurements from the plurality of measurements, where each subset of measurements among the at least one subset of measurements comprises measurements acquired at the same time of a respiratory cycle, the time of the respiratory cycle being determined from the respiratory signal; -determining a characteristic relating to said mechanical property from said at least one subset of measurements.

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.

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 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 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.

The application discloses a transient elastography method and device, wherein the method comprises: in a transient elastography mode: based on a transient elastic ultrasound probe, performing real-time ultrasound scanning on a first target tissue of a target object to obtain first ultrasound image data of the first target tissue; processing the first ultrasound image data to obtain a first target feature map; determining a tissue type of the first target tissue based on the first target feature map; automatically determining a first elastography strategy based on the tissue type of the first target tissue; controlling the transient elastic ultrasound probe to apply mechanical vibration to the first target tissue to excite shear waves to propagate in the first target tissue based on the first elastography strategy, and detecting the propagation of the shear waves by the transient elastic ultrasound probe to perform transient elastography on the first target tissue, and obtaining a transient elastic image of the first target tissue.

A device for measuring the stiffness of an organ of a subject, the measuring device including a measurement casing which includes a) a shear wave emitter adapted to generate a low-frequency elastic wave, and b) an ultrasound transducer adapted to acquire ultrasound signals to determine the stiffness of the organ based on the propagation of the generated low-frequency elastic wave, and an applicator extending from the measurement casing, the applicator being adapted to be placed against a part of a body of the subject, the applicator including a position maintenance device for maintaining the transducer perpendicular to the part of the body of the subject.

Disclosed herein are ultrasound shear elastography apparatuses that include a longitudinal shear vibration intensifier and a longitudinal shear vibration estimator. The longitudinal shear vibration estimator can be an ultrasound imaging array that is co-located at a surface of the longitudinal shear vibration intensifier. The longitudinal shear vibration intensifier can be a vibrating concave piston.

Ultrasound shear-wave elastography is a non-invasive method that characterizes tissue mechanical properties by analyzing the propagation of shear waves, but conventional ultrasound imaging probes are bulky and rigid, limiting their use beyond clinical environments. A wearable ultrasound shear-wave elastometry device and methods are provided, comprising a miniaturized actuator and a pair of ultrasound transducers that are mounted to the body. The device generates and detects pulsed shear waves within tissue to estimate shear-wave velocity and mechanical properties of tissues with a temporal resolution of the supplied shear wave pulse repetition interval. Multi-frequency pulse excitation enables shear wave velocity dispersion analysis and viscoelastic characterization of tissues. Correction methods for surface acoustic wave motion artifacts are provided to mitigate surface acoustic wave interference in the detected shear waves within the tissues. The developed device and methods enable continuous, time-resolved monitoring of tissue mechanical properties in a wearable form factor for application during active body motion outside clinical environments.

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.

A strain elastography method and an ultrasonic imaging device, the method comprising: controlling an ultrasonic probe to emit ultrasonic waves to a pressed target tissue region of a target object, and receive ultrasonic echoes to obtain ultrasonic echo data; generating an ultrasonic image based on the ultrasonic echo data, and obtaining first strain data based on the ultrasonic echo data and / or the ultrasonic image, performing mapping on the first strain data for strain elastography to obtain a first strain elastography image; determining an interference region in the first strain elastography image, and determining a target region based on the interference region, the target region being a region in the first strain elastography image other than the interference region; obtaining second strain data corresponding to the target region in the first strain data, performing mapping on the second strain data for strain elastography to obtain a second strain elastography image, and displaying the second strain elastography image. The method can exclude the influence of the interference region, and improve the quality and reliability of the strain elastography result.

The disclosure relates to an elastography apparatus designed to support magnetic resonance elastography, including an oscillation generator, a fixation apparatus designed to fix the oscillation generator to an object under examination, a pressure sensor designed to detect a contact pressure acting between the oscillation generator and the object under examination, and an output unit designed to output the detected contact pressure.

An elastography device includes an electronic unit adapted to determine a plurality of measurements of a mechanical property of a region of a body of a subject, the electronic unit being further adapted to receive a cardiac signal relative to a cardiac activity of the subject, wherein at least one measurement of the mechanical property among the plurality of measurements of the mechanical property is determined upon detection of an event relative to the cardiac signal.

The present application relates to the field of elastography technologies, and in particular, to an elastography method, apparatus and device, and a storage medium. The method includes: acquiring an elastography area of a to-be-detected tissue and a target pressure range of the to-be-detected tissue; determining a detection position where an elasticity detection probe is located when performing elasticity detection in the elastography area; performing the elasticity detection in the elastography area for a plurality of times based on the detection position and a plurality of pressure values within the target pressure range, to acquire a plurality of elastography results; and fusing the plurality of elastography results to determine a target elastography result of the to-be-detected tissue.

The application relates to the technical field of ultrasound, in particular to a shear wave-based elastic imaging system, a use method and a processor. The shear wave elastic imaging probe acquires a first current pressure based on a first pressure sensor, and when the first current pressure meets a first preset pressure requirement, a first target ultrasonic signal is emitted to generate a target shear wave; the transient elastic imaging probe acquires a second current pressure based on a second pressure sensor, and when the second current pressure meets a second preset pressure requirement, a vibrator is used to apply low-frequency mechanical vibration to generate the target shear wave; the processor controls the selected probe to emit a second target ultrasonic signal to the target tissue and receive the reflected echo signal after the selected probe generates the target shear wave; the echo signal is used to generate ultrasonic data, the ultrasonic data is processed, and the detection result of the target tissue is determined. The shear wave-based elastic imaging system is more convenient to use, and the detection efficiency is improved.

A system (100) for determining a load profile of an actuator (124) for elastography. The system (100) is configured to generate an actuator driving waveform by modifying a primary driving waveform with an interrogation signal, apply the actuator driving waveform to the actuator (124), determine a first value of a component of an electrical characteristic, determine a second value of the component of the electrical characteristic, and determine the load profile of the actuator (124) based on the first value and second value of the component of the electrical characteristic, the load profile relating values of the component of the electrical characteristic to values of the mechanical load on the actuator (124). The load profile is used to determine a load which is used to adapt signals applied to the actuator.

The application discloses a kind of based on detection probe determines the method, device and storage medium of tissue operating parameter, detection probe includes acoustic head, transmission shaft and pressure sensor, acoustic head and pressure sensor are connected by transmission shaft, method includes when acoustic head presses the skin surface of the region where the tissue to be operated is located, the pressure that transmission shaft transmits to pressure sensor is detected, obtains pressing pressure;In the case where pressing pressure and the preset pressure range corresponding to the tissue to be operated match range, the ultrasonic imaging data and / or elastography data of the tissue to be operated and other tissues around it are collected using detection probe, and the operating parameter when operating the tissue to be operated is determined according to the data collected. The accuracy of the determined operating parameter is high, and the operating accuracy can be improved.

An ultrasound-excited elastography device and detection method for measuring the mechanical properties of the cornea and retina are disclosed. The ultrasound excitation module uses three-dimensionally localizable focused ultrasound waves to excite elastic waves in the cornea or retina. Its transducer axis is angled to the OCT optical axis, and the sound wave path is deflected by an obliquely placed acoustic reflector. The OCT module dynamically captures the spatiotemporal displacement signals of the tissue induced by the elastic waves through a dual-scan mode, achieving high-resolution imaging of the anterior segment and fundus. The eye cup fitting module, combined with a biocompatible structure, adapts to the eye contour and coordinates the incident angle of the sound waves to optimize the acoustic-optical coupling efficiency. The data processing module derives the Young's modulus distribution of the tissue using an elastography algorithm. The detection method achieves high-precision quantitative analysis of the mechanical properties of the cornea and retina through non-invasive ultrasound-OCT co-excitation and signal acquisition, combined with a motion platform to compensate for eye movement deviations in real time. This invention provides a reliable tool for assisting in the diagnosis of ophthalmic diseases.

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.

There is disclosed a method and system for detection of a tumor in a breast and / or for calculating breast fibroglandular density. The method includes obtaining a sequence of images of an exterior surface of a breast supported by a bra having optical elements thereon, during movements of the breast, obtaining a three-dimensional model of the breast, isolating the movements of the breast relative to a thoracic reference, processing the images to identify surfacic vibrations of the breast of the exterior surface, as a function of the isolated movements, analyzing the surfacic vibrations and deformation as a function of the three-dimensional model of the breast, defining a three- dimensional distribution of internal stiffness of the breast using the analyzed surfacic vibrations and deformation with elastography and locating a rigid mass in the breast using the three-dimensional distribution.

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.

Mechanical properties of a tissue in a subject are estimated from phase velocity dispersion curve data that are corrected for unreliable low frequency phase velocity estimates. Elastography data are acquired from a region in a subject in which mechanical waves are propagating. The elastography data are acquired with a medical imaging system. Phase velocity dispersion curve data and group velocity data are generated from the elastography data. Corrected phase velocity dispersion curve data are then generated by correcting low frequency phase velocity values in the phase velocity dispersion curve data using the group velocity data. Mechanical property data are then generated from the corrected phase velocity dispersion curve data.

An elastography device includes a probe that includes a protruding part to be applied against the body of a subject, a low frequency vibrator arranged to move the protruding part, at least one ultrasound emitter and one ultrasound receiver; and an electronic unit. The electronic unit is adapted to alternatively control the elastography device so that it operates (a) in a guidance mode to determine whether the probe is correctly positioned in front of a region of the body to be probed to carry out a measurement of a mechanical property of the probed region and (b) in a measurement. In the guidance mode, the vibrator delivers a plurality of successive probing pulses (PRB), each being a transient, low frequency mechanical pulse, and the electronic unit determines a propagation quality indicator (Q) representative of an aptitude of the probed region to transmit the probing pulse.

The application discloses an ultrasonic detection probe, which comprises a shell, an ultrasonic transducer, an acoustic transmission structure arranged at the front end of the ultrasonic transducer, and a driving assembly arranged in the shell and used for driving the acoustic transmission structure, wherein the acoustic transmission structure is provided with a first cavity, and an acoustic transmission medium is arranged in the first cavity. When the driving assembly drives the acoustic transmission structure to vibrate, a shear wave is generated in a detection target, and the acoustic transmission medium in the acoustic transmission structure enables the ultrasonic signal emitted by the ultrasonic transducer to propagate more in the acoustic transmission medium and less in the acoustic transmission structure, so that the attenuation of the ultrasonic signal is reduced, and the elastic imaging detection quality is improved.