141 results about "Ultrasonogram" patented technology

The invention discloses a storage and charging system battery capacity calculation method, and relates to the technical field of storage and charging system optimization control, and the method comprises the steps: collecting multi-modal data of a battery pack, and generating time-space aligned multi-modal data through a timestamp alignment and three-dimensional coordinate conversion algorithm; extracting local temperature gradient characteristics of an infrared thermogram and dynamic time characteristics of a charging and discharging curve through DSC and Bi LSTM based on the multi-modal data of space-time alignment, segmenting spatial distribution characteristics of electrolyte flow abnormity of an ultrasonic image by using U-Net, dynamically distributing weights of the multi-modal characteristics through a space-time attention mechanism, and generating a fusion characteristic vector; and inputting the fusion feature vector into a GRU-Transform hybrid model to generate a dynamic capacity prediction value, and identifying an aging type by dynamically analyzing historical data. According to the invention, multi-modal features are extracted through DSC, Bi LSTM, U-Net and other technologies, and comprehensive monitoring and dynamic adjustment of the battery health state are realized.

An ultrasound diagnostic apparatus includes a debris specifying unit 25 that specifies debris in the cyst from each of a first ultrasound image acquired by the image acquisition unit 41, and a second ultrasound image acquired by the image acquisition unit 41 by imaging the cyst from the same direction as a direction in a case of capturing the first ultrasound image with respect to the cyst after an external force different from an external force in a case of capturing the first ultrasound image has acted on the cyst or in a state where the external force is acting on the cyst, and a debris movement information providing unit 26 that provides information regarding movement of the debris, which is specified by the debris specifying unit 25, in the cyst between the first ultrasound image and the second ultrasound image.

The invention discloses an online defect detection method for a main-grid-free photovoltaic cell panel, which comprises the following steps of: obtaining a life distribution diagram of a main-grid-free photovoltaic cell through time-resolved photoluminescence, and obtaining a heat dissipation diagram of the main-grid-free photovoltaic cell through optically-induced phase-locked thermal imaging; an ultrasonic diagram of the main-grid-free photovoltaic cell is obtained through laser ultrasound; preprocessing and registering the life distribution diagram, the heat dissipation diagram and the ultrasonic diagram so as to uniformly map the life distribution diagram, the heat dissipation diagram and the ultrasonic diagram to a cell coordinate system, extracting minority carrier life, heat dissipation power, ultrasonic propagation time delay offset and scattering energy, and forming a multi-modal feature together with a thermal phase; and based on the abnormal score, performing defect detection and classification on the multi-modal features of the possible defect area to obtain classification results of electrical defects, thermal defects and mechanical defects. The invention also discloses a system for realizing the method. According to the invention, full-coverage detection of electrical, thermal and mechanical defects is realized.

Disclosed are ultrasound transducers with a small form factor, enabling applications for which traditional ultrasound transducers are unsuited. The transducers can be configured to interface with a variety of medical imaging systems. Also disclosed are example methods of manufacturing ultrasound transducers. Example versions of the ultrasound transducer can include an acoustic lens secured to the housing, a piezoelectric array, a backing layer with a phase disruptive component, an interposer board coupled to the piezoelectric array, and a cable assembly coupled to the interposer board. Moreover, disclosed are methods and systems for detecting and classifying anatomical structures using ultrasound systems. A system can generate a clip of brain vessel segmentations in an ultrasound of a patient and determine blood vessel parameters at least by inputting the clip to a machine learning model configured to output the plurality of blood vessel parameters based at least on the clip.

A mark that identifies a lesion site is displayed on a tomographic image. A two-dimensional map and a graph are displayed regardless of whether or not the mark is displayed. The two-dimensional map represents lesion site probability distribution. The graph represents temporal change of lesion site probabilities.

The invention provides a vehicle lamp control system and method based on a sparse gating hybrid expert model, and relates to the technical field of vehicle lamp adaptive control, and the method comprises the steps: obtaining ultrasonic, image and audio multi-mode signals, and carrying out the preprocessing; after the preprocessed multi-mode signals are input into the sparse gating hybrid expert model, ultrasonic, image and audio signals are respectively sent into an independent expert network, each expert network is responsible for analyzing input signals of a specific type, the ultrasonic expert network analyzes the ultrasonic signals and outputs the distance and the type of a front object, and the distance and the type of the front object are analyzed; the image expert network analyzes image features to obtain the distance and category of a front object and a preliminary vehicle lamp code, the audio expert network analyzes sound features to obtain the distance and category of the front object, and finally outputs of the two expert networks are selected through a routing network gating mechanism for weighted combination to generate a final vehicle lamp code. And obtaining a control signal of the vehicle lamp.

The application provides an ultrasonic image processing method, an automobile part processing device and a medium program, and is applied to the automobile part processing device. The automobile part processing device comprises an ultrasonic sensor. The method comprises the following steps: determining a target relative position parameter between the automobile part processing device and a target object through the ultrasonic sensor; determining a first working parameter corresponding to the target relative position parameter; and controlling the ultrasonic sensor to work at the first working parameter, so as to obtain a first image of the target object. The ultrasonic imaging effect of the automobile part processing device can be improved by adopting the application, so as to improve the accuracy of welding point identification.

An ultrasonic diagnostic apparatus includes: a lesion detection unit (26) that detects a suspected lesion region in a mammary gland region of a subject based on an ultrasonic image in which the mammary gland region is imaged; a mask data creation unit (27) that creates mask data of the detected suspected lesion region; an exclusion region setting unit (28) that sets an exclusion region to be excluded from a target of a glandular tissue component evaluation based on the mask data; and an evaluation unit (29) that performs the glandular tissue component evaluation on an evaluation target region obtained by excluding the exclusion region from the mammary gland region.

The invention provides an ultrasonic image processing method and device, electronic equipment, a storage medium and a computer product. The ultrasonic image processing method comprises the following steps: acquiring an ultrasonic image containing at least one blood vessel region; for a blood vessel region in the ultrasonic image, image segmentation is carried out on the ultrasonic image to obtain a first segmented image, and the first segmented image comprises the blood vessel region; determining a central pixel of each blood vessel region in the first segmented image; correcting a blood vessel region in the first segmented image based on the central pixel and the ultrasonic image to obtain a second segmented image; and synthesizing the second segmented image and the ultrasonic image to obtain a tissue attenuation image of which the blood vessel region is filtered. According to the scheme, the tissue attenuation image of the blood vessel filtering area can be obtained more accurately, and accurate diagnosis of medical staff is facilitated.

According to the medical rotary cutting tool bit assembly, the rotary cutting catheter and the visual blood vessel volume reduction system, the rotary cutting tool bit assembly is provided with a front rotary cutting tool bit and a rear rotary cutting tool bit to conduct rotary cutting operation on blocked blood vessel plaques or thrombus and the like, and the effects of opening blocked blood vessels and enlarging the diameter of a lumen are achieved; a larger blood vessel lumen diameter can be obtained under the condition that surgical instruments do not need to be replaced or repeated rotary cutting is not needed, and the surgical operation steps and time are reduced; meanwhile, by means of an imaging assembly, especially an ultrasonic transmitting and receiving device, instrument positioning in the blood vessel is carried out, a real-time and accurate ultrasonic image view is provided, and the lesion condition can be accurately evaluated; under the scene that a blood vessel guide wire or other surgical instruments cannot effectively penetrate through the occluded lesion, a lesion area can be smoothly reached, and the occluded blood vessel can be opened, so that the operation is safer and more effective.

The invention discloses a medical image auxiliary diagnosis system based on artificial intelligence, which is suitable for diagnosis assistance of fetal ultrasonic images and comprises an image preprocessing module, a fetal recognition module, an imaging optimization module, a micro structure enhancement module, a characteristic parameter extraction module, a diagnosis assistance module and an image quality control module. The image preprocessing module is used for performing primary processing on the original ultrasonic image; the fetus recognition module is used for recognizing the position and the state of a fetus in the maternal body according to the processed ultrasonic image; the imaging optimization module is used for optimizing imaging conditions for micro-structure imaging by intelligently adjusting the position and angle of a probe and combining three-dimensional reconstruction and image correction technologies according to a fetus recognition result; the micro structure enhancement module is used for identifying and enhancing a micro anatomical structure in the image; the feature parameter extraction module uses a deep learning model to automatically identify and extract key feature parameters in the ultrasonic image. The imaging quality is improved, and the reliability of auxiliary diagnosis is enhanced.

The invention discloses a defect detection method and device, electronic equipment and a computer readable storage medium. The method comprises the steps that an ultrasonic module is controlled to transmit ultrasonic signals corresponding to multiple frequencies to a screen assembly, and actually measured ultrasonic images corresponding to the multiple frequencies are determined based on echo signals corresponding to the multiple frequencies and returned by the screen assembly; performing diffraction ring detection on the actually measured ultrasonic image corresponding to each frequency, and determining an actually measured diffraction ring detection result corresponding to each frequency; and determining a defect detection result of the screen assembly based on the actually measured diffraction ring detection results corresponding to the plurality of frequencies. Due to different interactions between the defects at different positions of the screen assembly and the ultrasonic signals at different frequencies, the shapes, positions, sizes and the like of the diffraction rings existing in the actually measured ultrasonic images formed by the ultrasonic signals at different frequencies are different, so that the detection results of the actually measured diffraction rings at a plurality of frequencies can be used for detecting the detection results of the diffraction rings at different frequencies. And the accuracy of defect detection results can be ensured.

The invention provides a panoramic ultrasound image forming apparatus, a recording medium, and a program product. The present invention addresses the problem of improving the image quality of a panoramic ultrasound image. Alternatively, the amount of computation for forming the panoramic ultrasound image is reduced. A probe information acquisition unit (48) acquires a plurality of pieces of position information indicating the position of an ultrasonic probe (14) when a reception signal corresponding to each frame for forming a panoramic ultrasonic image is acquired. The synthesis processing unit (50) performs synthesis processing on the basis of the difference between a first position (14a), which is the position of the ultrasonic probe (14) when a reception signal corresponding to a first frame (60a) constituting the panoramic ultrasound image (62) is acquired, and a second position (14b), which is the position of the ultrasonic probe (14) when a reception signal corresponding to a second frame (60b) constituting the panoramic ultrasound image (62) is acquired. After the second frame (60b) is arranged offset from the first frame (60a) in the scanning direction, the first frame (60a) and the second frame (60b) are combined.

The present application provides an ultrasonic diagnostic apparatus, a control method of an ultrasonic diagnostic apparatus, a recording medium, and a computer program product. The present application is directed to accepting designation of a two-dimensional position on an ultrasonic image and being able to control the ultrasonic diagnostic apparatus in accordance with the designated position. A display section (118) accepts designation of a point on a displayed ultrasonic image through a touch operation or the like. A position information conversion section (130) converts coordinates of the point shown in a coordinate system of the ultrasonic image into coordinates in a coordinate system used by the ultrasonic diagnostic apparatus (100) in ultrasonic beam scanning. A central control section (120) and a control position setting section (132) use the coordinates obtained through the coordinate conversion to perform control of the ultrasonic diagnostic apparatus (100) (e.g., setting of a ROI).

To improve diagnosis efficiency when performing image quality adjustment.SOLUTION: An image display device includes a post-adjustment image acquisition unit and a display control unit. The post-adjustment image acquisition unit acquires a second ultrasonic image, which is an image after image quality adjustment is made for a first ultrasonic image of a subject. The display control unit displays a supplement image for supplementing attenuation information on an ultrasonic wave lost by the image quality adjustment.SELECTED DRAWING: Figure 1

The invention discloses an intelligent multimode concrete microstructure lossless perspective analyzer which comprises a bottom plate and moving wheels mounted at four corners of the outer wall of the bottom of the bottom plate, and further comprises a lifting assembly mounted on the outer wall of the top of the bottom plate, a box body is mounted at the top of the lifting assembly through bolts, and overturning notches are formed in the outer walls of the two sides of the box body. The intelligent multi-mode concrete microstructure lossless perspective analyzer can clean and polish the surface of a concrete wall before detection, can effectively reduce interference, ensures the accuracy of a detection result, and detects the internal structure of concrete from different angles by fusing X-ray, radar wave and ultrasonic technologies and complementing the advantages of the technologies; comprehensive and accurate detection is achieved, an X-ray image, a radar wave image and an ultrasonic image are fused through an image fusion algorithm, a composite image containing more information is obtained, and observation and analysis of detection personnel are facilitated.

The present invention addresses the problem of providing an ultrasound diagnostic device and a method for controlling the ultrasound diagnostic device, whereby it is possible to easily and accurately correct the contour line of a heart cavity. This ultrasound diagnostic device is provided with: a cardiac cavity extraction unit (25) that extracts a cardiac cavity from an ultrasound image obtained by imaging the heart of a subject; a correction likelihood estimation unit (26) that estimates the likelihood of correction for each portion of the contour line by analyzing the extracted contour line of the heart cavity; a control point specifying unit (27) that specifies a control point on the contour line on the basis of the estimated correction likelihood; an input device (32) for a user to perform an input operation; a correction operation reception unit (28) that receives a correction operation performed by a user on the specified control point via an input device (32); and a contour line correction unit (29) that corrects the contour line in accordance with the received correction operation.

This invention provides an ultrasonic endoscope and its front end unit capable of depicting ultrasonic images based on the base end of an ultrasonic transducer. In the ultrasonic endoscope, the outer peripheral surface of the front end body includes: a first surface disposed on the base end side of the ultrasonic transducer, along the long axis of the insertion portion; a second surface disposed on the base end side of the first surface, along the long axis, and located on a direction side perpendicular to the long axis relative to the first surface in a first direction; and a stepped surface connecting the base end side of the first surface and the front end side of the second surface. The direction perpendicular to both the long axis and the first direction is defined as the second direction. An effective angle is defined as the angle representing the irradiation range of the ultrasonic waves emitted from the ultrasonic transducer when observing the front end body from the second direction side. When the intersection point of the tangent that contacts the ultrasonic transducer and is in contact with the ultrasonic transducer at the position closest to the first direction side of the stepped surface and the ultrasonic transducer is defined as the first intersection point, the first intersection point is contained within 1 / 3 of the effective angle on the base end side.

The application provides a flow limiting ring detection method and system, and relates to the technical field of flow limiting ring detection. The method comprises the following steps: acquiring ultrasonic images of multiple flow limiting rings and flow information of inflow under a working environment of the flow limiting rings; determining a preliminary abnormal flow limiting ring by using an abnormal flow limiting ring model based on the ultrasonic images of the multiple flow limiting rings; determining K test flow rates and multiple simulation flow rates based on the flow information of the inflow under the working environment of the flow limiting rings; acquiring infrared thermal image videos of the preliminary abnormal flow limiting ring under the K test flow rates; and determining whether the preliminary abnormal flow limiting ring is qualified based on the infrared thermal image videos of the preliminary abnormal flow limiting ring under the K test flow rates and the infrared thermal image videos of the preliminary abnormal flow limiting ring under the multiple simulation flow rates. The method can efficiently, comprehensively and accurately detect whether the flow limiting ring is qualified.

To provide an acoustic matching member that can be spread and remains on a body surface and is easy to be wipe off, and an imaging method of a medical image.SOLUTION: An acoustic matching member to be applied onto a body surface when an ultrasonic image is captured, is a mixture containing water and a hydrophilic macromolecule having a hydrophilic functional group and having 8 or more carbon atoms, wherein a viscosity of the acoustic matching member is 5 mPa s or more and 20,000 mPa s or less.SELECTED DRAWING: Figure 3

An ultrasonic diagnostic apparatus is provided. A control section has a processor functioning as a synchronization signal generation section that generates a first synchronization signal, controls an ultrasonic probe in accordance with the first synchronization signal, a processor functioning as an ultrasonic image generation section, and a connector that has a synchronization signal line that transmits a second synchronization signal generated by the synchronization signal generation section and a data line that transmits data, outputs the second synchronization signal to the outside via the synchronization signal line, can be connected to a light source device that emits light to be incident on an insert, causes the second synchronization signal to be output via the synchronization signal line, the insert has a photoacoustic wave generation section that generates a photoacoustic wave by absorbing light, can also be connected to an electrocardiograph that stores identification information for identifying the apparatus, and outputs the second synchronization signal corresponding to the electrocardiograph via the connector when the identification information is acquired via the connector and it is detected that the electrocardiograph is connected in accordance with the identification information.

An ultrasonic diagnostic apparatus includes: an image acquisition unit (24) that acquires an ultrasonic image in which a mammary gland region of a subject is imaged; a monitor (23) that displays the ultrasonic image; a mammary gland region extraction unit (25) that extracts the mammary gland region from the ultrasonic image; an evaluation unit (27) that performs a glandular tissue component evaluation based on the mammary gland region; a schematic diagram creation unit (30) that creates a breast schematic diagram showing a breast divided into a plurality of partial regions; and a display control unit (22) that displays an evaluation result of the glandular tissue component evaluation on the monitor (23) in association with a partial region, which corresponds to a position where the ultrasonic image is captured, among the plurality of partial regions in the breast schematic diagram.

The invention discloses a geologic data-based terrestrial heat drilling parameter optimization method and system, and relates to a terrestrial heat drilling control optimization technical scheme. Comprising the following steps: constructing a well wall ultrasonic image by utilizing ultrasonic detection equipment, corresponding to a well depth reference line, and determining a key mapping point; driving a drill bit to rotate at a fixed rotating speed based on well depth, and detecting and associating drill bit temperature and mapping points; well wall abnormal risk points are recognized and marked; combining the well wall image, the drill bit temperature and the abnormal points into a reference geological data set, and performing mixed classification after cutting; performing reproducibility analysis on the groups in the same depth interval, and storing the groups meeting the standard to a reference geological database; the real-time temperature is analyzed through a drill bit temperature sequence in the database, and a depth section concerned for optimization is determined; by integrating ultrasonic imaging and drill bit temperature data, dynamic recognition of the geological condition of the well wall is achieved, the depth section where parameters need to be optimized is accurately determined, and the geothermal drilling efficiency and safety are improved.

The invention provides an ultrasonic image enhancement method and system, and the method comprises the steps: inputting a to-be-processed medical ultrasonic image into an encoder network, and obtaining an original feature map; dividing a channel into a plurality of groups, performing global average pooling and global maximum pooling on each group in parallel, and generating a group representation according to a splicing result; calculating the attention weight of each channel, and multiplying the attention weight with the corresponding channel of the original feature map to obtain a first enhanced feature map; performing two-dimensional Fourier transform on the original feature map to obtain a spectrogram of each channel; calculating a frequency-energy ratio, and combining the attention weight and the frequency-energy ratio to generate a spectrum enhancement mask; performing inverse transformation after the mask is multiplied by the spectrogram to obtain a second enhanced feature map; calculating variances of all the group expressions to obtain a feature differentiation degree, and generating a fusion coefficient based on the feature differentiation degree; performing weighted fusion on the first enhanced feature map and the second enhanced feature map by using a fusion coefficient to obtain a fused feature map; and inputting the fused feature map into a decoder network, and outputting a medical ultrasonic image.

The present application relates to the technical field of ultrasonic scanning path planning, and discloses an ultrasonic scanning trajectory planning method and system based on a variational autoencoder. The ultrasonic scanning trajectory planning method is applied to an ultrasonic scanning robot and specifically comprises the following steps: S101: receiving an ultrasonic image acquisition instruction sent by a user terminal, wherein the ultrasonic image acquisition instruction comprises an activation command of a carried ultrasonic probe, target region data collected by an ultrasonic image, and feature information of the ultrasonic probe when collecting the image; S102: acquiring ultrasonic wave image data collected by the target region, and sequentially placing the ultrasonic wave image data in an image preprocessing model to sequentially denoise the ultrasonic wave image data. The present application trains and optimizes an ultrasonic diagnosis model through few-sample learning, plans a trajectory through high-precision control and intelligent decision of an ultrasonic scanning robot, and automatically completes ultrasonic scanning operation, thereby improving the accuracy and stability of a diagnosis result.

The present application provides a method and system for identifying parathyroid lesions in ultrasonic images, belonging to the technical field of image processing. Among them, a method for identifying parathyroid lesions in ultrasonic images includes obtaining the current ultrasonic image of a patient and the historical ultrasonic images in a database; determining the feature region in the current ultrasonic image according to the current ultrasonic image and the sample ultrasonic image; obtaining the size data, shape data, boundary clarity data, and echo characteristic quantity data of the feature region; calculating the basic attention degree data according to the region perimeter data, region area data, shape data, boundary clarity data, and echo characteristic quantity data; calculating the trend influence data according to the historical ultrasonic images and the growth distance data; analyzing the comprehensive attention degree data of the feature region according to the basic attention degree data and the trend influence data; adopting this solution can mark the feature region and help doctors observe the ultrasonic images of patients more intuitively.

The invention relates to a method for ultrasonic detection of pore area type defects in a to-be-tested workpiece. The method comprises the following steps: receiving an ultrasonic image of the to-be-tested workpiece; receiving a thickness map of at least one part of the to-be-tested workpiece; based on the thickness map of the at least one part of the to-be-tested workpiece, a simulated ultrasonic map of a corresponding area of the non-pore area type defect workpiece is determined, and the component and the thickness map of the corresponding area of the non-pore area type defect workpiece are the same as those of the corresponding area of the to-be-tested workpiece; based on the ultrasonic image of the to-be-tested workpiece and the simulated ultrasonic image, determining a detection image of the to-be-tested workpiece; and determining whether the pore area type defect exists or not in the to-be-tested workpiece based on the detection graph.

According to some embodiments of the present invention, a method for performing periodontal measurements from ultrasonic images is provided. After obtaining at least one ultrasonic image of a jaw portion including periodontal tissue of at least one tooth, from the at least one obtained ultrasonic image, a plurality of images are generated, each indicating the presence of at least one anatomical periodontal feature in the at least one obtained ultrasonic image, and the presence of at least one anatomical periodontal feature in the at least one obtained ultrasonic image is confirmed from the corresponding generated images. When the presence of an anatomical periodontal feature in the at least one obtained ultrasonic image required for performing at least one periodontal measurement is confirmed, at least one periodontal measurement is performed from the anatomical periodontal feature whose presence has been confirmed.

Provided is an ultrasonic diagnostic device capable of easily and quickly performing an examination of an examination object based on an ultrasonic image. An ultrasonic diagnostic apparatus according to an embodiment includes an acquisition unit and a display unit. The acquisition unit acquires ultrasonic images of a plurality of frames by continuous scanning of a subject using an ultrasonic probe. The display unit displays each ultrasonic image group comprising two or more frames in which the inspection target is common among the ultrasonic images of the plurality of frames so that the position at which the image group was acquired on the time axis can be recognized.

The application relates to a method and device for estimating a ventricular wall motion based on an adaptive regularization optical flow model, belonging to the technical field of ultrasonic image processing. The method is characterized in that: firstly, the obtained optical flow vector is analyzed through two-dimensional wavelet analysis and function mapping to obtain motion boundary information of the motion field relative to sudden change; secondly, the sudden change motion boundary information is adaptively fed back to the optical flow calculation model to correct the regularization coefficient of the smoothing term and recalculate the optical flow field; finally, the optical flow calculation process is repeated until the wavelet high-frequency component of the optical flow field converges; the method reflects the gradient difference between the myocardial ventricular wall and the surrounding tissue in the regularization coefficient, thereby improving the accuracy of motion estimation.