31 results about "Color doppler" patented technology

An ultrasonic diagnostic imaging system measures volume flow. An ultrasound probe operating in biplane mode is used to acquire a blood vessel in a long axis view in a first Doppler image and simultaneously in a transverse view in a second Doppler image. Volume flow is calculated from the transverse view of the blood vessel. The plane of the second image is aligned with the Doppler angle of the first image so that angle correction determined for the first image can be used for angle correction in the volume flow calculation.

1. The name of the design product: color Doppler ultrasonic diagnostic system (for veterinary use). 2. The use of the design product: color Doppler ultrasonic diagnosis for veterinary use. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view. 5. Other circumstances that need to be explained: refer to the electronic screen in Figure A.

The invention provides a kidney ultrasonic image analysis system and method, and the method comprises the steps: extracting the structural features of a kidney parenchyma region from a collected B-mode ultrasonic image sequence, and extracting the blood flow features of a corresponding region from a collected color Doppler blood flow image sequence; determining a blood flow distribution index diagram reflecting kidney blood flow distribution according to the blood flow characteristics, and then performing regional adaptive enhancement on the B-mode ultrasonic image sequence through the blood flow distribution index diagram to generate a B-mode reference image with an enhanced signal-to-noise ratio and a prominent skin medullary boundary; and fusing the B-mode reference image with a peak blood flow distribution diagram generated from the blood flow image sequence to obtain a fusion enhanced image when kidney skin marrow segmentation is performed on the kidney of the target patient. By adopting the scheme of the invention, pixel-level fusion can be carried out on the B-mode ultrasonic image and the color Doppler blood flow image based on the blood flow distribution in the color Doppler blood flow image.

The invention discloses a cerebral vascular hemodynamic measurement method and device based on transcranial color Doppler. The method comprises the following steps: training a plurality of sample images to establish a multi-target cerebrovascular segmentation model; inputting a to-be-segmented image into the multi-target cerebrovascular segmentation model to obtain a segmentation region of each cerebrovascular in the to-be-segmented image; performing central axis transformation on the segmented region of each cerebral vessel, and extracting a skeleton structure of each cerebral vessel; and based on the skeleton structure of each cerebral vessel, calculating to obtain an optimal measurement position and an optimal measurement angle for measuring cerebral vessel hemodynamic parameters. According to the method, more accurate analysis can be provided for diagnosis and evaluation of cerebral vessels under transcranial color Doppler, errors caused by manual operation are reduced, and improvement of accuracy and reliability of medical image analysis is facilitated.

The information processing unit executes B-mode image generation processing of generating B-mode image data based on a reception signal generated by the transmission and reception unit, evaluation area setting processing of setting a blood flow evaluation area and a clutter evaluation area in a region where the B-mode image data is generated, wall filter processing on a Doppler reception signal generated by the transmission and reception unit, color Doppler processing of generating color mapping data for the B-mode image based on the Doppler reception signal subjected to the wall filter processing, evaluation processing of obtaining a pixel evaluation value for each of the blood flow evaluation area and the clutter evaluation area, and measurement condition setting processing of setting at least one of a transmission and reception condition in the transmission and reception unit or a characteristic of the wall filter processing according to each pixel evaluation value.

The invention discloses a method for improving the color Doppler signal-to-noise ratio of deep peripheral pancreatic vessels, and relates to the technical field of medical ultrasonic imaging. According to the method, the signal penetrating power is enhanced and the original data quality is optimized by combining coding excitation and matched filtering with self-adaptive space composite imaging at the front end, and blood flow signals are intelligently extracted through self-adaptive clutter suppression and a deep learning model in sequence at the rear end and are finally fused and displayed with a B-mode image. According to the method, the problem of extremely low signal-to-noise ratio of deep peripancreatic vessel color Doppler imaging caused by serious signal attenuation and background noise interference is systematically solved. According to the method, the detection capability of deep low-speed blood flow signals can be effectively enhanced within a safety limit value, clearer and more accurate blood flow images are obtained, dependence on experience of an operator is reduced, and the diagnosis reliability is improved.

The application relates to the technical field of medical devices, in particular to a skin ultrasound contrast-based axillary sentinel lymph node puncture guiding method. The core of the method is as follows: after injecting an ultrasound contrast agent with a specific particle size through the skin, a preset low-mechanical-index high-frame-rate double-amplitude contrast imaging mode is adopted to dynamically track lymph drainage and sentinel lymph node development, and the enhancement characteristics are recorded; then, under the guidance of multimodal imaging which is fused with real-time contrast, elastic imaging and color Doppler, the target lymph node is accurately punctured and biopsied, and a tissue sample is obtained for pathological analysis. The application realizes integrated operation from sensitive development of the sentinel lymph node, function evaluation to accurate puncture, and provides a non-radiation high-precision puncture guiding method for accurate evaluation of the axillary lymph node state of breast cancer patients before operation.

The invention belongs to the crossing field of biomedical engineering and computer data processing, particularly relates to the technical field of ultrasonic medical data processing, and discloses a computer implementation method and system for evaluating the coronary artery stenosis degree based on data. Collected echocardiogram data is used as a core analysis object, target coronary blood vessel positioning processing is carried out on color Doppler blood flow imaging data through a computer, and computer-readable multi-dimensional clinical data and a preset coronary flow velocity influence factor database are fused; and performing dynamic optimization of a linear regression equation and subject working characteristic curve analysis by a computer to realize positioning correlation and quantitative calculation of related degree parameters of coronary artery stenosis. Through database dynamic iteration and parameter correction, interference of individual differences on a processing result is effectively avoided, a brand new computer technical scheme is provided for noninvasive accurate analysis of coronary artery disease related data, and the safety and universality of data processing are remarkably improved.

The invention relates to an NAC curative effect prediction method and system based on a multi-modal image and a dual-channel GCN-Transform, and the method comprises the steps: extracting the features of multi-modal images, such as an ultrasonic gray-scale image and a color Doppler blood flow image, through ViT, constructing a knowledge graph, and carrying out the aggregation of a graph attention network; meanwhile, an SVS pathological section is segmented into pixel patches, patch features are extracted, and global representation is obtained through a four-layer graph convolutional network; after deep learning of the two paths of Transformers, weighted soft voting fusion is adopted to predict the complete remission probability of neoadjuvant chemotherapy pathology, complementarity of image and histological information can be fully mined, and the prediction accuracy is remarkably improved. Compared with a plurality of existing optimization algorithms, the advantages of the algorithm in the aspect of improving the breast cancer NAC curative effect prediction accuracy are verified.

1. The name of the design product: electronic device for viewing patient health monitoring graphical user interface. 2. The use of the design product: for an electronic device. 3. The design features of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design features: change state figure 3. 5. The use of the graphical user interface: for viewing patient health monitoring data. 6. The change state description of the graphical user interface: click on the right side of the electrocardiogram report in the main view to enter change state figure 1; click on the right side of the POCT report in change state figure 1 to enter change state figure 2; click on the right side of the color Doppler real-time image in change state figure 2 to enter change state figure 3; click on the historical report query in change state figure 3 to enter change state figure 4. 7. Other circumstances that need to be explained: the content of the coating is the content picture; X is the text content.

An ultrasonic probe matched with a novel color Doppler diasonograph for use belongs to the technical field of ultrasonic auxiliary equipment, and comprises an ultrasonic probe body, a touch module, a contact force detection mechanism and a comparison circuit, the contact force detection mechanism comprises a fixing pipe and a pressure resistor, a fixing groove is formed in the side end of a shell of the ultrasonic probe body, an isolation plate is arranged in the fixing pipe, the upper end of the pressure resistor is installed at the lower end of the isolation plate, a rubber mat is installed at the lower end of the stress surface of the pressure resistor, and a contact plate is installed at the lower end of the rubber mat; according to the ultrasonic probe, an examination doctor can be prompted when the contact acting force is too large, the downward acting force of the hand of the examination doctor can be relieved, discomfort brought to a patient is reduced as much as possible, and when the examination is not carried out, the ultrasonic probe is convenient to use. Under the action of the touch module, the self power supply can be automatically switched off, so that the service life of the ultrasonic probe body can be prolonged as much as possible.

Systems and methods for simultaneous acquisition of pulsed-wave Doppler and color Doppler for retrospective analysis of cardiovascular function are disclosed. In aspects, imaging techniques are used for acquisition of raw partly processed ultrasound data. The ultrasound data is stored in its raw form, synchronized with a simultaneously acquired physiological signal. The stored ultrasound data can then be accessed and processed according to pulsed-wave Doppler and color Doppler imaging techniques to provide both a full frame, or sequence of frames of color Doppler images and a post-acquisition pulsed-wave Doppler signal of a sample volume at one or more locations within the acquisition area using the color Doppler image. Such locations can be selected automatically or by a user, and a pulsed-wave spectrum for the selected location is displayed. As the user moves the sample volume around, the pulsed-wave spectral data is recomputed and redisplayed.

An ultrasound system operable to perform a color Doppler exam includes a graphic watermark linked to move in synchronism with a color box over a color Doppler image. The user can reposition the color box and watermark over the image so that the watermark designates which blood vessel of a plurality of blood vessels in the image is the vessel of interest for the exam. Preferably the color box is repositioned with an image control that is frequently used during the workflow of a color Doppler exam, such as a trackball. In response to the designation of a blood vessel of interest for diagnosis, the ultrasound system automatically configures color Doppler imaging parameters for the blood vessel of interest.

A method and associated ultrasound imaging apparatus for Doppler ultrasound medical examinations. The method and apparatus automatically scroll a frozen 2D Color Doppler display frame to a previously obtained frame which is more optimal in terms of Color filling and / or being close to peak systole, as determined by one or more Color Doppler signal measures. The invention is enabled by a toggle between a 2D color Doppler live mode / Pulsed-Width (PW) Doppler standby mode to a PW-live mode / 2D color Doppler standby mode, providing a workflow improvement.

An ultrasound imaging system can acquire short and / or undersampled radio frequency (RF) signal groups for generating color Doppler images. The ultrasound imaging system can process short and / or undersampled signal groups to simulate color Doppler images acquired from long RF signal groups. In some examples, the ultrasound imaging system may include a neural network to process the signal groups. In some examples, the neural network may include two cascaded neural networks. In some examples, a power Doppler-based flux mask may be used on the output of the neural network during training. In some examples, adversarial loss may be used on the output of the neural network during training.

Systems and methods for simultaneous acquisition of pulsed-wave Doppler and color Doppler for retrospective analysis of cardiovascular function are disclosed. In aspects, imaging techniques are used for acquisition of raw partly processed ultrasound data. The ultrasound data is stored in its raw form, synchronized with a simultaneously acquired physiological signal. The stored ultrasound data can then be accessed and processed according to pulsed-wave Doppler and color Doppler imaging techniques to provide both a full frame, or sequence of frames of color Doppler images and a post-acquisition pulsed-wave Doppler signal of a sample volume at one or more locations within the acquisition area using the color Doppler image. Such locations can be selected automatically or by a user, and a pulsed-wave spectrum for the selected location is displayed. As the user moves the sample volume around, the pulsed-wave spectral data is recomputed and redisplayed.

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 application discloses a kind of multi-modal deep learning driven multi-dimensional ultrasonic image intelligent processing systems, it is related to image processing technical field, for solving the problem of multi-modal ultrasonic fusion analysis difference;The application is by collecting B mode, color doppler, elasticity and radio frequency image, and constructs uniform structured tensor, realizes the time synchronization and spatial registration of multi-modal image, introduces cross attention mechanism to align and fuse modal characteristics, enhances feature expression ability, extracts dynamic characteristics and spatial topological relationship of tissue evolution with time in combination with time series modeling and graph structure modeling method, form joint space-time feature representation, in output end, system supports regional segmentation, structure classification and function parameter extraction etc. Multi-task path, satisfy clinical diversification analysis demand, overall architecture is end-to-end deep learning process, with high automation and cross-modal adaptability, improve ultrasonic image analysis efficiency and accuracy.

An ultrasound diagnostic imaging system operable to perform a Doppler ultrasound exam is provided, in which a graphic watermark (64) movably linked to a color box (62) over a color Doppler image (60) is generated and displayed to a user. The user can reposition the color box and the watermark over the image so that the watermark designates a blood vessel of interest (1) for the exam based on a proximity of the watermark to a blood vessel of a plurality of blood vessels in the image. Preferably the color box (62) is repositioned with an image control that is frequently used during the workflow of a color Doppler exam, such as a trackball. In response to the designation of a blood vessel of interest (1) for diagnosis, the ultrasound system automatically configures color Doppler imaging parameters for the blood vessel of interest. A computer-implemented method of processing an ultrasound image (60) is also provided.

The invention provides an ultrasonic diagnostic apparatus, and aims to suppress noise appearing in a color Doppler image. The information processing unit (14) executes: a B-mode image generation process for generating B-mode image data on the basis of a reception signal generated by the transmission / reception unit (12); an evaluation region setting process for setting a blood flow evaluation region (66) and a clutter evaluation region (70) in a region in which the B-mode image data has been generated; wall filter processing performed on the Doppler reception signal generated by the transmission / reception unit (12); color Doppler processing for generating color mapping data with respect to the B-mode image from the Doppler reception signal subjected to the wall filter processing; an evaluation process for obtaining a pixel evaluation value for each of the blood flow evaluation region (66) and the clutter evaluation region (70); and a measurement condition setting process for setting at least one of a transmission / reception condition in the transmission / reception unit (12) and a characteristic of the wall filter process on the basis of each pixel evaluation value.

In some embodiments of the disclosed subject matter, a system for tracking a medical device using color Doppler markers is provided, the medical device can comprise an ultrasound transmitter, and a lead configured to receive a square wave signal from a waveform generator and provide the square wave signal to the ultrasound transmitter causing the ultrasound transmitter to produce acoustic signals. The system can include an ultrasound machine having a display, a transducer that emits color Doppler signals, and a processor, which can be programmed to cause the transducer to emit the color Doppler signals, cause the transducer to detect color Doppler signals generated by an interaction between the emitted color Doppler signals and the acoustic signals, and generate an ultrasound image that includes a color Doppler marker indicative of the presence of the ultrasound transmitter.

The invention discloses an ultrasonic image intelligent lesion identification and quantitative analysis method, which relates to the technical field of medical images, and comprises the following steps: S1, collecting a B-ultrasonic gray image, an elastic imaging strain graph and a color Doppler blood flow image of a target part, extracting complementary features through a feature level fusion strategy after adaptive noise suppression processing, and obtaining a target image; a multi-modal fusion feature map is obtained; and S2, inputting the multi-modal fusion feature map into a double-branch recognition model, distributing weights in combination with a dynamic attention mechanism, and performing cross-device adaptive calibration processing. According to the ultrasonic image intelligent lesion identification and quantitative analysis method provided by the invention, the accuracy and clinical applicability of lesion detection are remarkably improved by integrating multi-modal ultrasonic information and an intelligent processing flow; the problem of inaccurate identification caused by noise interference, difficulty in identification of small focuses and large imaging difference between devices in traditional ultrasonic image analysis is effectively solved.

The invention relates to the technical field of biomedical detection, in particular to a method for diagnosing a mouse unilateral ureteral ligation model by adopting an ultrasonic means, which comprises the following steps: S1, performing anesthesia and vital sign monitoring on a model mouse after unilateral ureteral ligation; s2, a high-frequency ultrasonic linear array probe with the frequency of 28-34 MHz is used for sequentially scanning the kidneys on the two sides of the mouse in a B mode, a color Doppler mode and a pulse Doppler mode; s3, quantitative data used for evaluating pelvis expansion and skin medullary structure change are obtained from the B-mode image; s4, quantitative data used for evaluating the intrarenal blood flow resistance and renal parenchyma perfusion are obtained from the Doppler mode image; s5, carrying out comparative analysis on the quantized data obtained in the step S3 and the step S4 and the baseline data of the opposite side for tonifying the kidney or the preoperative baseline data; early, quantitative and living evaluation of mouse UUO model renal pelvic dilatation, skin marrow structure and abnormal blood flow is achieved, detection consistency is improved, and animal consumption is reduced.

This invention provides a method and apparatus for full-screen color Doppler blood flow imaging based on sparse delay computation. The method includes: transmitting plane wave ultrasound signals of different modes and different deflection angles, and receiving the corresponding echo signals and storing them in a buffer device; performing sparse delay computation on the echo signal data of the effective color blood flow region; performing deviation calibration on the echo signals and demodulating the signals into IQ signals; performing superposition and smoothing processing on the IQ signals of different modes to obtain image data; performing wall filtering on the image data to obtain blood flow signals; calculating Doppler phase shift and blood flow velocity based on the blood flow signals, and generating color blood flow image data according to pseudo-color encoding; and simultaneously displaying the color blood flow image data and B-mode grayscale image in a full-screen display area in real time, and displaying deflection angle indicators and related parameters. This not only eliminates the lack of blood flow information at the image boundaries and presents the complete blood flow distribution, but also simplifies the user operation process.

To suppress noise appearing in a color Doppler image.SOLUTION: The data processing unit 14 performs a B-mode image generation process for generating B-mode image data based on the reception signal generated by the transmission / reception unit 12, an evaluation area setting process for setting the blood flow evaluation area 66 and the clutter evaluation area 70 in a region where the B-mode image data is generated, a wall filter process for the Doppler reception signal generated by the transmission / reception unit 12, and a Doppler image generation process for generating a Doppler image based on the Doppler reception signal subjected to the wall filter process. Color Doppler processing for generating color mapping data to a B-mode image, evaluation processing for obtaining a pixel evaluation value for each of a blood flow evaluation section 66 and a clutter evaluation section 70, and measurement condition setting processing for setting at least one of transmission / reception conditions in a transmission / reception part 12 and characteristics of wall filter processing according to each pixel evaluation value are executed.SELECTED DRAWING: Figure 1

The invention discloses a multi-modal deep learning-driven multi-dimensional ultrasonic image intelligent processing system, relates to the technical field of image processing, and is used for solving the problem of poor multi-modal ultrasonic fusion analysis. According to the method, B-mode, color Doppler, elastic and radio-frequency images are acquired, a unified structured tensor is constructed, time synchronization and space registration of multi-mode images are realized, a cross attention mechanism is introduced to align and fuse modal features, the feature expression ability is enhanced, and a time sequence modeling method and a graph structure modeling method are combined, so that the time synchronization and space registration of the multi-mode images is realized. According to the method, dynamic features and spatial topological relations of tissues evolved along with time are extracted, joint spatial-temporal feature representation is formed, at the output end, the system supports multi-task paths such as region segmentation, structure classification and functional parameter extraction, clinical diversified analysis requirements are met, the overall architecture is an end-to-end deep learning process, and the system is a multi-task system. The method has high automation and cross-modal adaptive capacity, and the ultrasonic image analysis efficiency and accuracy are improved.

A novel color Doppler diasonograph for eyes belongs to the technical field of ultrasonic equipment and comprises a color Doppler diasonograph body for eyes, an electric push rod, a motor reducing mechanism and a disinfection mechanism. The lower end of the electric push rod is mounted at the upper end of the support frame; the upper end of the electric push rod and the lower end of the box body are mounted together; a fixing cylinder is installed at the rear side end of the operation keyboard, the motor speed reducing mechanism is installed in the fixing cylinder, and the lower end of a shell of the display screen and the upper end of a rotating shaft of the motor speed reducing mechanism are installed together. The disinfection mechanism comprises a cylinder, a nozzle, a hydraulic pump, a disinfection tank, a detection circuit and a liquid level switch which are mounted together, a fixing opening is formed in the lower end of the cylinder, and the upper end of the cylinder is mounted at the lower end of the operation keyboard; the liquid level switch is mounted in the disinfection tank; and the detection circuit is arranged in the electric control box. The angle of the display screen and the height of the whole equipment can be conveniently adjusted, convenience is brought to examination doctors, the ultrasonic probe can be disinfected after each examination, and the probability of virus infection is reduced.

The application discloses a tissue resection control method and device, an evaluation method and device, and electronic equipment. The method comprises the following steps: controlling an ultrasonic detection probe to acquire ultrasonic detection information of target tissue, wherein the ultrasonic detection information comprises one or more of the position, size, shape and distribution information of a foreign body in the target tissue; controlling an elasticity detection probe to apply pressure to the target tissue, performing quasi-static elasticity imaging on the target tissue during the application of the pressure, and acquiring relative elasticity information of the foreign body in the target tissue; triggering shear wave excitation when the applied pressure meets a preset pressure condition, and tracking the propagation of the shear wave in the target tissue to perform shear wave elasticity imaging and acquire absolute elasticity information of the foreign body in the target tissue; controlling a color Doppler detection probe to detect blood supply information of the foreign body in the target tissue; generating rotary cutting operation information of a rotary cutter according to the ultrasonic detection information, the relative elasticity information, the absolute elasticity information and the blood supply information; wherein the rotary cutting operation information comprises rotary cutting strength and a rotary cutting path; and controlling the rotary cutter to resect the foreign body in the target tissue according to the rotary cutting operation information. The application solves the problem of low tissue resection accuracy in the related art, which may easily lead to recurrence.

A method for analyzing a structure within a patient's heart includes receiving a patient study including multiple transthoracic and / or transesophageal echocardiographic images of the patient's heart obtained by an ultrasound device. The method includes extracting sets of pixel data from the images and analyzing the sets of pixel data using multiple trained machine learning algorithms to: a) identify images captured using a color Doppler modality and assign one or more of the images to a structure; b) identify images captured using a spectral Doppler modality and assign one or more of the images to a structure; c) determine a radius R of an inflow convergence zone from analysis of the color Doppler modality images assigned to the structure; and d) determine a maximum gradient PVreg of the structure from analysis of the spectral Doppler modality images assigned to the structure. The radius R of the inflow convergence zone, the maximum gradient PVreg of the structure, and the Nyquist value Va determined for the color Doppler modality are combined to determine an effective regurgitant valve area EROA for the structure.