38 results about "Ultrasound elastography" patented technology

The invention relates to the field of ulcerative colitis, and discloses a multi-parameter monitoring system for evaluating the intestinal barrier function of ulcerative colitis, which is used for realizing the goal of automatically adjusting a treatment scheme according to a monitoring result by constructing a closed-loop feedback treatment system. According to the invention, by designing the nanoprobe of which the surface is modified with a specific binding element and combining with a swallowing capsule endoscopy, real-time imaging and molecular level dynamic tracking of the intestinal barrier are realized, genetically engineered bacteria are constructed to quantify intestinal permeability abnormality and local inflammation level, and an intestinal barrier function damage score and a disease progress prediction result are output; individual monitoring is achieved through transfer learning, ultrasonic elastography, optical coherence tomography, wearable equipment for measuring intestinal electric field impedance spectroscopy and other technologies are adopted, an intestinal wall mechanics-electrophysiology composite parameter set is obtained, and the evaluation accuracy is improved.

The invention relates to the technical field of elastography, in particular to an ultrasonic elastography liver fibrosis evaluation method based on artificial intelligence. The method comprises the following steps: analyzing the gray level and gradient distribution of pixel points in a gray level image of each image, and obtaining the fat deposition degree of the liver of a patient in each image; the fat display degree of the liver of the patient in each parameter combination is obtained, and a high-display parameter combination is screened out; according to the imaging depth of each high display parameter combination and the fat deposition degree of the corresponding shear wave elastic image, obtaining a corresponding correction parameter combination; according to gradient features of edge pixel points in different elastic modulus range areas, image resolution corresponding to the correction parameter combination is obtained; obtaining an optimal parameter combination, and obtaining the liver fibrosis risk degree of the patient according to the elastic modulus distribution in the shear wave elastic image under the optimal parameter combination. According to the method, the optimal parameter combination is obtained to carry out elastography, so that the accuracy of liver fibrosis risk assessment is improved.

The invention discloses a dynamic pressure calibration-based false tooth occlusal surface three-dimensional modeling optimization method and system, and particularly relates to the technical field of false tooth occlusal modeling, and the method comprises the steps: obtaining soft tissue viscoelastic parameters of a patient through ultrasonic elastography and palpation type pressure collection, and carrying out the classification marking; on the basis of viscoelastic parameters and typical pressure time sequence mapping association, a graph neural network fusion time sequence memory unit is trained, and online prediction from dynamic pressure to soft tissue deformation and denture displacement is achieved; performing three-dimensional interpolation and deformation multiplying power correction on the real-time pressure array by utilizing a prediction result, and eliminating soft tissue disturbance through geometric closed-loop feedback iteration; a key contact point cloud is extracted based on corrected equivalent pressure data and predicted displacement, and a high-precision occlusal surface three-dimensional grid is generated by combining weighted registration, reconstruction and local high-density resampling, so that the problem of pressure offset and geometry inconsistency caused by neglecting soft tissue deformation in static modeling is effectively solved.

The embodiment of the invention discloses an ultrasonic elastography method and ultrasonic imaging equipment. In the embodiment of the invention, ultrasonic imaging equipment can respectively obtain a first shear wave elasticity result and a first strain elasticity result of an external area of a focus in target tissue of a testee and obtain a second strain elasticity result of an internal area of the focus in the target tissue; a quantitative elasticity result for the internal region of the lesion is determined based on the first shear wave elasticity result, the first strain elasticity result, and the second strain elasticity result. The shear wave elasticity result and the strain elasticity result of the external region of the focus and the strain elasticity result of the internal region of the focus are accurate, so that the quantitative elasticity result of the internal region of the focus is calculated according to the results; compared with the method of directly measuring the shear wave elasticity of the internal area of the focus, the method has the advantages that the obtained result is more accurate, and the form and boundary of the focus can be presented more accurately.

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 embodiment of the present application discloses an ultrasonic elastography method and an ultrasonic imaging device. In the embodiment of the present application, the ultrasonic imaging device can acquire a first shear wave elasticity result and a first strain elasticity result of an external region of a lesion in a target tissue of a subject, acquire a second strain elasticity result of an internal region of the lesion in the target tissue, and determine a quantitative elasticity result of the internal region of the lesion based on the first shear wave elasticity result, the first strain elasticity result and the second strain elasticity result. Since the shear wave elasticity result and the strain elasticity result of the external region of the lesion and the strain elasticity result of the internal region of the lesion are all accurate, the quantitative elasticity result of the internal region of the lesion calculated according to the above results is more accurate than the result obtained by directly performing shear wave elasticity measurement on the internal region of the lesion, and the morphology and boundary of the lesion can also be more accurately presented.

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

The application relates to the technical field of medical imaging, in particular to a photoacoustic magnetic multi-modal imaging system and method for prostate cancer identification, which comprises the following steps: the photoacoustic imaging unit is used for photoacoustic imaging of microvessels in a prostate part; the ultrasonic elastic imaging unit is used for ultrasonic elastic imaging of the prostate part; the magnetic resonance imaging unit is used for magnetic resonance imaging of the prostate part; the multi-modal image fusion unit is used for information fusion of photoacoustic imaging, ultrasonic elastic imaging and magnetic resonance imaging of the prostate part, so as to obtain a multi-modal fusion image of the prostate part. The application adopts high-quality imaging equipment for the prostate part, guarantees high-quality acquisition of the multi-modal images in the imaging stage, and after the high-quality image acquisition is completed, a bidirectional supervision registration network is used to realize registration and fusion of photoacoustic, ultrasonic elastic images and high-resolution magnetic resonance images, so that high-quality images are provided for image identification of prostate cancer.

The invention relates to the field of image enhancement, in particular to an intelligent image enhancement method for liver ultrasonic elastography. The method comprises the steps that in each respiratory cycle, multiple frames of images of the liver of a patient are collected; for each frame of image, determining the similarity between the frame of image and each frame of image according to the contour gradient relative difference and contour deviation degree between the frame of image and the liver region of each frame of image in the adjacent respiratory cycle; clustering the liver region of each frame of image to obtain a plurality of clusters, and obtaining the definition weight of each cluster according to the gradient amplitude and the movement speed parameter in the cluster; according to the difference between the hardening coefficients of each cluster and the corresponding cluster in the corresponding similar image, the similarity between the frame image and the corresponding similar image and the definition weight mean value, a respiration influence coefficient is obtained; and according to the multi-cluster respiration influence coefficient of each frame of image, carrying out image enhancement on the frame of image to obtain an enhanced image. The image definition of the focus area can be improved.

The invention relates to an ultrasonic elastography system and method based on a local least square fitting operator. Comprising the following steps: acquiring a plurality of wave fields under a target frequency based on spatio-temporal data of ultrasonic shear wave propagation; obtaining a relative coordinate matrix based on the fitting matrix; obtaining a fitting operator matrix based on the relative coordinate matrix and a least square principle; for each pixel of the complex wave field, extracting a local complex data block taking the pixel as a center; acquiring relative phase vectors respectively corresponding to the plurality of local complex data blocks; on the basis of the fitting operator matrix and the relative phase vectors corresponding to the multiple local complex data blocks, fitting wave number components corresponding to the multiple local complex data blocks are obtained; and on the basis of the fitting wave number components corresponding to the plurality of local complex data blocks, shear wave velocities corresponding to the plurality of local complex data blocks are obtained, and then an elastic graph is obtained. According to the method, random noise can be effectively suppressed in a phase gradient calculation stage, and a fine edge structure of a tissue is reserved.

The embodiment of the invention provides an ultrasonic elastography method and device, equipment and a storage medium. The ultrasonic elastography method comprises the following steps: determining an energy compensation expression of a transducer for ultrasonic elastography; obtaining an initial signal for performing ultrasonic elastography on the target tissue by using a transducer; compensating the initial signal according to the energy compensation expression to obtain a correction signal; and determining elasticity information of the target tissue according to the correction signal. According to the scheme, the detected initial signal is compensated, and the elasticity analysis of the target tissue is realized, so that the sensitivity and the resolution of ultrasonic elastography are improved, and more accurate elasticity information is obtained.

Ultrasonic elastography processing to characterize a medium of interest The disclosure relates to an ultrasonic elastography processing method and a corresponding device (20).The method comprises: obtaining initial data (DT1) representative of an ultrasonic response (16) of a medium of interest (4) to ultrasonic pulses (8) focused in the medium and to sounding waves (14) emitted sequentially according to distinct values ​​(VL) of at least one parameter (PR) of the sounding waves; generating, from the initial data respectively for each said parameter value (VL), second data representative of shear wave propagation in the medium; estimating, from the second data associated with each said parameter value (VL), an individual velocity (VI) representative of the shear wave propagation speed for said value respectively; and estimating at least one velocity (VC), called the compound velocity, of the shear waves by a combination of the individual velocities. Figure for the abstract: Figure 6.

An ultrasonic diagnostic imaging system performs elastography using mechanically generated vibrations from a vibration assembly attached to an ultrasound probe. An attachment member attaches the vibration assembly to the probe. A vibration motor is mounted in a motor mount and applies vibration energy to the body in which shear waves are to be measured, at a location adjacent to the probe. The vibration motor mount is coupled to the attachment member by a vibration isolation element such as a spring, rubber band, or elastic compound which isolates the probe from deleterious vibration energy from the vibration motor.

The invention relates to the technical field of medical imaging, in particular to a photoacoustic-magnetic multi-mode imaging system and method for prostate cancer recognition, and the system comprises a photoacoustic imaging unit which is used for the microvascular photoacoustic imaging of a prostate part; the ultrasonic elastography unit is used for ultrasonic elastography of the prostate part; the magnetic resonance imaging unit is used for magnetic resonance imaging of a prostate part; and the multimode image fusion unit is used for carrying out information fusion on the microvascular photoacoustic imaging, the ultrasonic elastography and the magnetic resonance imaging of the prostate part to obtain a multimode fusion image of the prostate part. According to the method, high-quality imaging equipment for a prostate part is adopted, high-quality acquisition of each modal image is ensured in an imaging stage, and after high-quality image acquisition is completed, registration fusion of photoacoustic and ultrasonic elastic images and high-resolution magnetic resonance images is realized by using a bidirectional supervised registration network, so that the accuracy and accuracy of imaging are improved. And a high-quality image is provided for iconography identification of prostatic cancer.

The utility model relates to the technical field of ultrasonic elastography measurement auxiliary scales, in particular to an ultrasonic elastography measurement auxiliary scale which is convenient to use and comprises a positioning measurement slender rod, a sliding positioning groove is formed in the middle of the positioning measurement slender rod, and a plurality of positioning mark blocks are arranged in the middle of the sliding positioning groove. Sliding positioning blocks are arranged on the left portion of the positioning gauge block, each sliding positioning block is matched with the corresponding sliding positioning groove, a threaded hole is formed in the top end of each sliding positioning block, a positioning bolt is arranged at the top end of each threaded hole, each positioning bolt is matched with the corresponding threaded hole, and a positioning suction cup is arranged at the bottom end of the positioning measuring slender rod.

The present application relates to the technical field of elastic imaging, in particular to an ultrasonic elastic imaging liver fibrosis evaluation method based on artificial intelligence. The present application analyzes the gray scale and gradient distribution of the pixel points in the gray scale image of each image to obtain the fat deposition degree of the patient's liver in each image; further obtains the fat display degree of the patient's liver in each parameter combination to screen out high display parameter combinations; obtains the corresponding correction parameter combination according to the imaging depth of each high display parameter combination and the fat deposition degree of the corresponding shear wave elastic image; obtains the image resolution of the corresponding correction parameter combination according to the gradient characteristics of the edge pixel points in the different elastic modulus range areas; obtains the optimal parameter combination, and obtains the liver fibrosis risk degree of the patient according to the elastic modulus distribution in the shear wave elastic image under the optimal parameter combination. The present application improves the accuracy of liver fibrosis risk evaluation by obtaining the optimal parameter combination for elastic imaging.

This application relates to a system and method for generating and processing ultrasound elastography images. The system includes: an ultrasound image acquisition module for acquiring ultrasound images of living tissue at predetermined locations; an ultrasound elastography image generation module, communicatively connected to the ultrasound image acquisition module, for generating ultrasound elastography images based on the USE-GAN image generation model; a display module for displaying the ultrasound elastography images and the ultrasound image; a manual review module for pre-evaluating the elasticity score of the ultrasound elastography images according to an algorithm program, and determining the elasticity score of the ultrasound elastography images generated by the ultrasound elastography image generation module after manual verification; and an output module for outputting the elasticity score of the ultrasound elastography images determined by the manual review module and a manually determined conclusive report related to the elasticity score. The system and method of this application can be used for auxiliary diagnosis of tissues and organs such as the thyroid, liver, breast, and prostate when ultrasound elastography assessment is required.

This application relates to the field of image enhancement, specifically to an intelligent image enhancement method for liver ultrasound elastography. The method includes: acquiring multiple frames of images of the patient's liver during each respiratory cycle; for each frame, determining the similarity between the frame and other frames based on the relative difference and deviation of the contour gradient of the liver region between the frame and adjacent respiratory cycles; clustering the liver region of each frame to obtain multiple clusters, and obtaining a sharpness weight for each cluster based on the gradient amplitude and motion velocity parameters; obtaining a respiratory influence coefficient based on the difference in hardening coefficient between each cluster and the corresponding cluster in similar images, the similarity between the frame and the corresponding similar images, and the mean of the sharpness weights; and enhancing the frame based on the respiratory influence coefficients of the multiple clusters in each frame to obtain the enhanced image. This application can improve the image sharpness of lesion areas.

An ultrasonic elastography system and method, the system comprising: a transmitting-receiving module (11) for transmitting ultrasonic pulses to a target (2) to be detected and receiving ultrasonic echo signals reflected by the target (2) to be detected; an imaging display module (13) for processing the received ultrasonic echo signals and displaying an image (I) obtained after the processing; an analysis module (15) for detecting a region of interest (R) selected by an operator on the image (I) and a shell region (S), calculating elastic parameters of the reference region and the shell region (S) respectively, and analyzing and outputting an analysis result according to the calculation results of the two. By extracting and processing the elastic parameters of the shell region (S) of the region of interest (R) selected by the operator from the image (I), and comparing the elastic parameters with those of other regions, more information can be provided.

The invention relates to the technical field of medical positioning, and discloses an intelligent acupoint positioning method and system based on multi-modal imaging, and the method comprises the steps: carrying out the dual-modal feature decoupling of infrared thermal imaging data and ultrasonic elastography data of a target patient, and obtaining a feature waveform set; matching the characteristic waveform set with a corresponding acupuncture point initial position mark point set in a preset acupuncture point waveform template library; projecting the acupuncture point initial position mark point set to a body surface area corresponding to the target patient, and performing distortion correction on acupuncture point projection to obtain a high-precision acupuncture point coordinate set; mapping the high-precision acupoint coordinate set to a three-dimensional space to obtain a three-dimensional acupoint model; performing real-time parameter registration on the three-dimensional acupuncture point model based on the real-time physiological state of the target patient to obtain a standard space parameter set of the three-dimensional acupuncture point model; and superposing the standard space parameter set to the three-dimensional acupoint model to obtain a visual acupoint view. According to the invention, the accuracy of intelligent acupoint positioning of multi-modal imaging can be improved.

The invention discloses a massage manipulation multi-modal data acquisition and analysis system for clinical application. The massage manipulation multi-modal data acquisition and analysis system comprises an intelligent sensing glove, a flexible physiological response patch and a central processing terminal. The glove collects manipulation mechanics data through the three-dimensional force vector sensing array. The patch is integrated with an ultrasonic elastography module, a near infrared spectrum module and a surface myoelectricity module, and physiological parameters such as tissue elasticity modulus and blood oxygen saturation are collected. And the terminal synchronizes data through a hardware timestamp, executes individualized baseline calibration, plateau period identification and a dynamic time warping algorithm, and analyzes dynamic association of techniques and physiological responses. According to the invention, the whole-course quantification and intelligent analysis of the massage manipulation from operation to effect are realized, and a key technical support is provided for manipulation standardization, curative effect evaluation objectification and action mechanism research.

The invention relates to the technical field of medical image navigation puncture, in particular to a lymph node biopsy puncture monitoring system and a biopsy puncture sampling method.The lymph node biopsy puncture monitoring method comprises the steps that real-time ultrasound, elastography and color Doppler image data streams of a lymph node area are obtained and fused, and the real-time ultrasound, elastography and color Doppler image data streams of the lymph node area are obtained; and generating a comprehensive feature map integrating the lymph node boundary contour, the internal hardness distribution and the blood vessel walking path. And calculating a safe puncture path and a target spot which avoid the blood vessel and pass through the target hardness region based on the feature map. In the puncture process, the needle inserting track is tracked in real time and dynamically compared with a preset path, and deviation warning and correction guidance are automatically generated. And when the needle point reaches the target spot, triggering sampling, and continuously monitoring the sampling area. According to the method, through multi-source information fusion and real-time navigation deviation correction, the accuracy of puncture sampling and the operation safety are improved.

The present application relates to the field of image enhancement technology, specifically to an image processing method and system for ultrasonic elastic imaging. The method comprises: determining the color difference significance of each edge pixel based on the extreme distribution and change trend of the grayscale values ​​of all pixels along any direction of its neighborhood, combined with the extreme distribution of the grayscale values ​​of each edge pixel and all edge pixels in its neighborhood; determining the detail complexity of each pixel based on the average distribution of the local density of all edge pixels within each pixel's window, combined with the color difference significance; and determining the detail richness of each pixel based on the degree of chaos and dispersion of the corresponding brightness values ​​of all pixels within each pixel's window in a YCrCb image, thereby enhancing the ultrasonic elastic image. This application aims to adaptively adjust the local window based on the pixel details to improve the quality of image enhancement.

Example embodiments of the described technology provide systems and methods for ultrasound imaging. A method of ultrasound imaging may comprise inducing propagation of shear waves through a region of tissue. The method may also comprise acquiring a three-dimensional sweep of ultrasound data of the tissue region. The ultrasound data may be processed to identify voxels corresponding to a particular tissue type by tracking the propagation of the shear waves through the tissue region. Spatially registered elastography images and attenuation images of the tissue region may be generated from the acquired ultrasound data.

The present application relates to the technical field of digital twinning, and particularly provides a kind of based on digital twinning's intestinal microorganism dynamic detection method and system, method contains making different hydrophobicity microorganism in turn separate from magnetic control capture area and collect according to the order of separation, obtain the sequence of microbial components arranged according to the hydrophobicity gradient of microbial cell membrane;After temperature threshold sequencing, the phase transition characteristic vector corresponding to each component is generated, and the liquid crystal phase transition map of microbial community is formed by combining the phase transition characteristic vectors of all components;The liquid crystal phase transition map is input into the intestinal wall multilayer mechanical parameter program reconstructed in advance by ultrasonic elastography, and each microbial component is distributed to the matching intestinal axial region, and the functional zone separation twinning mapping of microbial community along the length direction of intestine is generated from the distribution relationship.The present application realizes the continuous analysis process from the physical and chemical separation of microorganism to the thermodynamic characterization of group, and then to the dynamic matching of intestinal mechanical environment.

The invention belongs to the technical field of intelligent radiotherapy equipment, and particularly relates to a dynamic beam-adjusting multi-source collaborative radiotherapy system and a self-adaptive irradiation method. The system comprises a triangular-configuration radioactive source array, wherein three independently-controlled radioactive sources are annularly and symmetrically distributed at 120 degrees; the multi-stage dynamic collimator is used for being coupled with each radioactive source in the triangular radioactive source array, and the blade movement of the multi-stage dynamic collimator is driven by the real-time image data of the focus form; the four-mode biological motion tracking system is fused with a CT imaging unit, an ultrasonic elastic imaging unit, an optical surface monitoring unit and an IMU inertial sensing unit and is used for outputting real-time coordinates of a target region; and a central controller. According to the invention, through the triangular multi-source array, the bionic two-stage collimator and the four-mode fusion tracking system, the conformality, efficiency and precision of radiotherapy are significantly improved, and the conformality, efficiency and precision of radiotherapy are significantly improved.

The application discloses an ultrasonic elasticity imaging pressure calibration device, which comprises a machine body, four pressure calibration components arranged on the machine body, four quadrant areas formed by the four pressure calibration components, a pressure sensor arranged on the machine body, a phantom arranged in each of the four pressure calibration components, a standard human body tissue hardness of the phantom, a working area arranged on the pressure calibration component at the top and used for placing an ultrasonic probe. The application solves the defect that the existing pressure calibration of the ultrasonic elasticity imaging equipment in a hospital needs to send the ultrasonic elasticity imaging equipment to be calibrated back to the manufacturer for calibration, thereby saving time for the hospital.

The ultrasonic imaging apparatus obtains a first shear wave elasticity result and a first strain elasticity result for the external region of a lesion in the target tissue of an object under examination, and a second strain elasticity result for the internal region of the lesion, and determines a quantitative elasticity result for the internal region of the lesion according to the first shear wave elasticity result, the first strain elasticity result, and the second strain elasticity result. Since the shear wave elasticity result and the strain elasticity result for the external region of the lesion and the strain elasticity result for the internal region of the lesion are accurate, the quantitative elasticity result for the internal region of the lesion calculated from the above results is more accurate than the result obtained by directly measuring the shear wave elasticity of the internal region of the lesion.

The present application relates to a real-time guiding and parameter self-adaptive optimization method and system based on arrayed flexible pressure feedback of ultrasonic elastography, comprising: synchronously collecting ultrasonic imaging data of the measured tissue and pressure array signals between the sensing probe and the tissue contact interface; reconstructing two-dimensional contact pressure distribution according to the pressure array signals; generating real-time pressing feedback information facing the operator according to the two-dimensional contact pressure distribution; self-adaptively optimizing the ultrasonic elastography parameters according to the real-time pressing feedback information and the two-dimensional contact pressure distribution; and correcting or normalizing the elastic index by using the effective pressure value. The present application can solve the problems of difficulty in quantifying the probe pressing force, difficulty in controlling the pressing uniformity and rhythm, dependence on experience in the scanning process, fixed imaging parameters, and insufficient accuracy of the elastic index quantification in free-hand ultrasonic elastography.

Example embodiments of the described technology provide systems and methods for ultrasound imaging. A method of ultrasound imaging may comprise inducing propagation of shear waves through a region of tissue. The method may also comprise acquiring a three-dimensional sweep of ultrasound data of the tissue region. The ultrasound data may be processed to identify voxels corresponding to a particular tissue type by tracking the propagation of the shear waves through the tissue region. Spatially registered elastography images and attenuation images of the tissue region may be generated from the acquired ultrasound data.