42 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.

The embodiment of the invention discloses an ultrasonic image acquisition quality evaluation method and ultrasonic imaging equipment, and the method comprises the steps: obtaining an ultrasonic image which comprises an ultrasonic gray-scale image and a sampling image which is displayed in a sampling frame of the ultrasonic gray-scale image in an overlapping manner; the sampling image can comprise a color Doppler image, an elastic image, an energy Doppler image or a vector blood flow image, a focus area in the ultrasonic image can be determined, the coincidence degree of the focus area and the sampling frame is determined, and an evaluation result of the acquisition quality of the ultrasonic image is determined according to the coincidence degree. By providing the method for evaluating the acquisition quality of the ultrasonic image, the possibility that a doctor scans again is reduced, and the diagnosis efficiency and the correctness of a diagnosis result are improved.

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.

An ultrasound imaging system which acquires short and / or undersampled radiofrequency ensembles for generating color Doppler images. The ultrasound imaging system processes the short and / or undersampled ensembles to simulate color Doppler images acquired from long radiofrequency ensembles. In some examples, the ultrasound imaging system includes one or more neural networks to process the ensembles.

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.

The invention relates to the field of medical image analysis and artificial intelligence, and discloses a mammary gland benign nodule follow-up visit data processing and nodule risk early warning method, which comprises the following steps of: obtaining gray-scale ultrasonic images and color Doppler blood flow images of a baseline and a plurality of follow-up visit time points; an improved U-Net model is adopted to automatically segment the nodule area, and morphological features and blood flow features are extracted; constructing a feature change rate matrix based on the percentage change rate of each time point feature relative to the baseline, quantifying a dynamic evolution trend in combination with a time decay weight matrix, and generating a dynamic malignant risk score by coupling patient age and breast cancer high risk factors; and further dynamically optimizing a risk judgment threshold value through a deep reinforcement learning model, dividing low, medium and high risk levels according to a comparison result of the score and the threshold value, and outputting differentiated clinical intervention suggestions. According to the invention, accurate and personalized early warning of the malignant risk of the breast benign nodule is realized, and intelligent support is provided for clinical follow-up decision.

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.

This application discloses a method and system for monitoring backflow. The monitoring method includes: acquiring color Doppler data of a target area; determining backflow information for each frame of a multi-frame color Doppler image based on the color Doppler data; and generating a backflow information data map based on the backflow information of each frame of the color Doppler image, wherein the backflow information data map reflects the correspondence between the frame number of the multi-frame color Doppler images and the backflow information in each frame of the color Doppler image.

To provide a technology capable of reducing a workload imposed on the user when, after generating an ultrasound image of an examination site of a subject, another ultrasound image of the same examination site is generated.SOLUTION: With reference to an annotation list including symbols representing annotations and meanings corresponding to the symbols, an apparatus identifies the meaning of an annotation PV (portal vein) added to an ultrasound image 22. The apparatus sets a region of interest 51 at a position corresponding to the portal vein in the ultrasound image 22, sets values of flow velocity parameters V1 and V2 to values suitable for the portal vein, displays a color Doppler image 71 within the region of interest 51 set in the ultrasound image 22, and further displays a PW wave 91.SELECTED DRAWING: Figure 13

The invention provides a mammary gland scanning method and device, electronic equipment and a storage medium. The method comprises the following steps: controlling a scanning module to perform inclined scanning on a focus at a preset angle, determining a target section of the focus, and obtaining a target section image corresponding to the target section; at least one of a color Doppler imaging function and an elastic imaging function is started, at least one of a target color image and a target elastic image corresponding to the target section is obtained, the target color image indicates the blood flow richness degree corresponding to the target section, and the target elastic image indicates the hardness degree corresponding to the target section; the image obtained in the mammary gland scanning process can indicate the blood flow richness degree and / or hardness degree of the lesion under the target section, a substantive basis is provided for a doctor to judge the lesion property when the doctor reads a film, and the risk of misjudgment is avoided.

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 are provided for improving color Doppler image quality using deep learning techniques. In a medical imaging system, signals associated with a medical imaging technique may be acquired and processed, with the processing including determining Doppler effects associated with at least some of the signals. Medical images configured for color Doppler based examination may be generated based on the processing of the acquired signals and the determining of the Doppler effects. The medical images may be low quality color images. The medical images may be processed using at least one reference medical image corresponding to at least one of the medical images, with the at least one reference medical image being high quality color image. The processing may include applying artificial intelligence (AI) based processing, such as deep learning based modeling. Improved medical images may then be generated based on the processing of the medical images.

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 instruments, in particular to an armpit sentinel node needle biopsy method based on skin ultrasound contrast. The core of the method is that after an ultrasonic contrast agent with a specific particle size is injected percutaneously, lymphatic drainage and sentinel lymph node development are dynamically tracked by adopting a preset low-mechanical-index and high-frame-rate double-amplitude contrast imaging mode, and enhancement characteristics of the lymphatic drainage and sentinel lymph node development are recorded; furthermore, under the guidance of multi-mode imaging fusing real-time radiography, elastography and color Doppler, precise needle biopsy is performed on the target lymph node, and a tissue sample is obtained for pathological analysis, so that integrated operation from sensitive development and function evaluation of the sentinel lymph node to precise puncture is realized; and a non-radiation and high-precision minimally invasive diagnosis means is provided for accurate evaluation of the preoperative axillary lymph node state of a breast cancer patient.

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.

A marker is localized using ultrasound imaging. Ultrasound video stream data are received with a computer system. The ultrasound video stream data are representative of ultrasound data acquired from a subject using an ultrasound system using Doppler imaging. Color image data are extracted from the ultrasound video stream data based on a color model. Marker position data are determined based on values of a color model component in the color image data. The marker position data are output using the computer system.