55 results about "Ultrasound elastography" patented technology

The invention is suitable for the technical field of intelligent diagnosis, and relates to a multi-mode breast volume ultrasound focus grading method, medium and terminal, and the method comprises the steps: carrying out the full-coverage scanning of a target region through automatic volume ultrasound equipment, obtaining automatic volume ultrasound data, and carrying out the preprocessing; carrying out three-dimensional segmentation and point cloud feature extraction on the preprocessed data; processing the dynamic gray ultrasonic time sequence through a visual Transform model so as to extract dynamic gray features; the ultrasonic elastography image is processed through a 2D convolutional neural network, and static elastic features are extracted; fusing the point cloud features, the dynamic gray features and the static elastic features through a weighting algorithm or a multi-modal neural network structure; and processing the fused features through a neural network layer, inputting the processed features into a classification layer, and carrying out breast focus BI-RADS classification. The method is simple in process and convenient to operate, and the accuracy of breast focus grading is effectively improved.

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 provides a cerebral palsy child gastrocnemius spasm curative effect evaluation method and system. According to the system, electroencephalogram data, MR I images, ultrasonic elastography and gastrocnemius spasm curative effect grades are utilized to construct a cross-modal gastrocnemius spasm curative effect evaluation model; the constructed cross-modal gastrocnemius spasm curative effect evaluation model generates the current gastrocnemius spasm curative effect grade of the user according to the real-time electroencephalogram data collected by the server, the MR I images in the selected time period and the corresponding ultrasonic elastography; and according to the current gastrocnemius spasm curative effect grade of the user, flexible rehabilitation adjustment is performed on the user so as to realize a humanized treatment target. According to the invention, the doctor can monitor the rehabilitation training curative effect in real time, the intelligent curative effect evaluation effect is realized, and the life quality of the user is ensured.

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.

Disclosed are an ultrasonic elasticity imaging method and an ultrasonic imaging apparatus. The ultrasonic imaging apparatus may determine a stress value according to a first reference value and a second reference value, determine a first quantitative elastic value for a target region according to the stress value and an elastic value measured by strain elastography corresponding to the target region, determine a second quantitative elastic value for a first region of interest according to an elastic value measured by shear wave elastography in the first region of interest and the first quantitative elastic value for the target region, and displaying the second quantitative elastic value.

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.

An ultrasonic elastic imaging method (1300), an ultrasonic dispersion measurement method (100, 800, 900, 1200), a device (1000, 1100) and a storage medium. The ultrasonic dispersion measurement method (100, 800, 900, 1200) comprises: controlling an ultrasonic probe (1010) to transmit a first ultrasonic wave to a target object, receiving an echo of the first ultrasonic wave, and acquiring a first ultrasonic echo signal (S110); generating a first ultrasonic image based on the first ultrasonic echo signal and acquiring a region of interest on the first ultrasonic image (S120); controlling the ... 10) transmitting a second ultrasonic wave to the region of interest to generate shear wave propagation in the region of interest (S130); controlling the ultrasonic probe (1010) to transmit a third ultrasonic wave to the region of interest, receiving the echo of the third ultrasonic wave, and obtaining a third ultrasonic echo signal (S140); obtaining shear wave information of the region of interest based on the third ultrasonic echo signal (S150); extracting at least two shear wave signals of different frequency components from the shear wave information, and obtaining and displaying shear wave dispersion results based on the propagation speeds of the shear wave signals of at least two different frequency components (S160). Information related to shear wave dispersion can be obtained.

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 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 present invention discloses a breast tomographic ultrasound elastography device, comprising: a water tank for containing water to facilitate ultrasonic wave propagation and imaging, and an annular ultrasonic probe moving up and down is arranged inside it; a squeezing mechanism arranged at the inner bottom end of the water tank; a grip arranged below the water tank; a brake handle arranged inside the grip, and the brake handle is slidably connected to the grip. This breast tomographic ultrasound elastography device can be used for breast lesion examination to detect possible lesion tissues, so as to achieve early detection and early treatment of breast cancer. The device uses ultrasonic waves to detect the breast in all directions, and at the same time uses a sound penetration sheet to squeeze the breast 360 degrees, and forms an image in a computer. Then, through the comparison of the body elasticity, the position of the lesion is detected, so as to realize breast lesion examination. The device has the characteristics of low examination cost and no harm to the body, and elastography can assist tomographic imaging in the diagnosis of the affected area.

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.

A method for manufacturing a wearable ultrasound probe is provided. The method includes forming a plurality of slits in a layer of piezoelectric material. Each slit has a kerf size less than 40 μm and a center-to-center separation between 150 μm and 250 μm. The slits define edges of a plurality of ultrasound transducer elements that are formed in the piezoelectric material. The ultrasound transducer elements are configured to produce an acoustic radiation force impulse (ARFI) in a tissue. The method further includes adhering the layer of piezoelectric material to a matching layer and implanting a bio-adhesive layer onto the matching layer. The bio-adhesive layer is configured to adhere to skin of a subject.

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.

The percutaneous intervention ultrasonic elastography catheter needle comprises an outer catheter, a puncture tip is arranged at the front end of the outer catheter, an ultrasonic assembly containing cavity is formed in the position, close to the puncture tip, of the outer catheter, an ultrasonic window is formed in the side face of the ultrasonic assembly containing cavity, and the outer catheter is provided with a first channel formed in the axial direction; the front end of the first channel is connected with the ultrasonic component accommodating cavity; the ultrasonic assembly is arranged in the ultrasonic accommodating cavity, and a scanning sound beam surface of the ultrasonic assembly corresponds to the position of the ultrasonic window; and the negative pressure passage is arranged to be connected with a negative pressure providing device so as to form / release negative pressure between the ultrasonic assembly and the in-vivo tissue. According to the percutaneous intervention ultrasonic elastography catheter needle, by controlling starting / stopping of negative pressure in the first channel, instant negative suction / release of tissue near the ultrasonic assembly can be achieved, and the ultrasonic elastography function can be achieved.

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 invention relates to a method for improving ultrasound elasticity imaging implemented by a processor. The method comprises: a step for receiving ultrasound elasticity RF data for a target part; a first processing step for polarizing impulse noise in ultrasound elasticity imaging on the basis of a statistical distribution of displacement values so as to acquire ultrasound elasticity RF data on which first processing has been performed; a second processing step for applying an adaptive median filter to the ultrasound elasticity RF data on which the first processing has been performed so as to acquire the ultrasound elasticity RF data on which second processing has been performed; and a step for implementing ultrasound elasticity imaging on the basis of the ultrasound elasticity RF imaging on which the first processing and the second processing have been performed.

An ultrasonic elastography method (1300), an ultrasonic dispersion measurement method (100, 800, 900, 1200), an apparatus (1000, 1100) and a storage medium, the ultrasonic dispersion measurement method (100, 800, 900, 1200) comprising: controlling an ultrasonic probe (1010) to emit a first ultrasonic wave to a target object, receiving an echo of the first ultrasonic wave, and acquiring a first ultrasonic echo signal (S110); generating a first ultrasound image based on the first ultrasound echo signal and acquiring a region of interest on the first ultrasound image (S120); controlling the ultrasound probe (1010) to emit a second ultrasound wave to the region of interest for producing propagation of shear waves in the region of interest (S130); controlling the ultrasonic probe (1010) to transmit a third ultrasonic wave to the region of interest, receiving an echo of the third ultrasonic wave, and acquiring a third ultrasonic echo signal (S140); acquiring shear wave information of the region of interest based on the third ultrasonic echo signal (S150); and extracting shear wave signals of at least two different frequency components from the shear wave information, and acquiring and displaying a shear wave dispersion result based on respective propagation speeds of the shear wave signals of at least two different frequency components (S160). And information related to shear wave frequency dispersion can be obtained.

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 discloses a disease initial-stage characteristic developing diagnosis method based on ultrasonic elastography, and relates to the technical field of ultrasonic imaging, and the method comprises the following steps: scanning the tissue of a patient by using a conventional ultrasonic instrument; selecting a corresponding elastic imaging technology based on the examination part and the lesion type; the tissue of a patient is deformed by mechanically pressurizing the probe, and an elastic image of a diseased region is collected in real time; the tissue of the patient is deformed by using natural factors of heartbeat and breathing in the body, and an elastic image of a diseased region is collected in real time; performing quality evaluation on the acquired elastic image of the diseased region; evaluating the degree and the distribution condition of the lesion; identifying and diagnosing benign and malignant diseases; and sequentially analyzing the boundary, form and internal echo characteristics of the diseased region. The hardness information of the diseased tissue is disclosed by evaluating the elastic characteristics of the tissue, and the information has important significance in distinguishing benign and malignant lesions and evaluating the degree and distribution condition of the lesions.