An ultrasonic imaging system acquires frames of echo data at a high acquisition frame rate using a single mode of acquisition. The echo data is used by three image processors to produce an anatomical image, a mechanical function image, and a hemodynamic image from the same echo data. A display displays an anatomical image, a mechanical function image, and a hemodynamic image simultaneously.

Front-end circuitry for an ultrasound system comprises a beamformer FPGA integrated circuit, transmit ICs with both pulse transmitters and linear waveform transmitters and T/R switches, transmit control and receiver ICs, and analog-to-digital converter (ADC) ICs. Only the transmit ICs require high voltages, and the transmit/receive switches are integrated in the transmit ICs, isolating the receiver ICs from high voltages. The transmitters can be trimmed to adjust the pulse rise and fall rates, enabling the transmission of pulses with low harmonic frequency content and thus better harmonic images.

Provided are a method of obtaining a contrast image and an ultrasound diagnosis apparatus for performing the method. The ultrasound diagnosis apparatus includes: an ultrasound transceiver; a display; and a controller configured to obtain an ultrasound image and a contrast image of an object by using the ultrasound transceiver, determine a region of interest (ROI) in at least one of the ultrasound image and the contrast image, transmit a flash pulse to destroy a contrast agent in the ROI from among regions of the object, image the contrast agent re-introduced into the ROI, and control the display to display the contrast image of the ROI.

There are provided embodiments for providing a user interface for performing a filtering process upon a vector Doppler image. In one embodiment, by way of non-limiting example, an ultrasound system comprises: a processing unit configured to form vector information of a target object based on ultrasound data corresponding to the target object and form a user interface for performing the filtering process upon the vector Doppler image based on the vector information.

An ultrasound system that includes a transducer configured to acquire ensemble channel/echo data and a filter bank configured to receive the echo data from the transducer, wherein the echo data is passed through a plurality of clutter filters within the filter bank to realize a plurality of echo data outputs. A processor calculates a spatial coherence value from each of the plurality of echo data outputs, compares the spatial coherence values of each filter, and selects the filter that yields a best spatial coherence for subsequent velocity estimation used to generate an output image for clinical use, where the best spatial coherence value is a highest and best spatial coherence value among the set of spatial coherence values.

An ultrasound diagnosis apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to receive an input of first ultrasound data and to output second ultrasound data. The processing circuitry is configured to reconstruct third ultrasound data on the basis of amplitude information in the second ultrasound data and phase information in the first ultrasound data. The processing circuitry is configured to perform a process that uses amplitude information and phase information in the third ultrasound data.

A Doppler measurement system includes a random generator outputting a control signal encoding a random selection, and an ultrasonic array transducer for emitting a sequence of transmit pulses at a target at either an adjustable steering angle (plane wave imaging) or from a selectable non-sequential transducer element order (synthetic aperture imaging) corresponding to the random selection and for receiving an echo of each transmit pulse reflected from the target. Each transmit pulse is independently adjusted to a steering angle (plane wave imaging) or selectable transducer element order (synthetic aperture imaging) corresponding to a unique random selection so that the sequence of transmit pulses is a random sweep. The system can also include a memory for storing echo data, and a processor connected to the memory for using transmit data and echo data to extract a Doppler parameter. Methods of Doppler measurement and computer-readable medium can incorporating the measurement system.

An imaging device includes a transducer that includes an array of piezoelectric elements formed on a substrate. Each piezoelectric element includes at least one membrane suspended from the substrate, at least one bottom electrode disposed on the membrane, at least one piezoelectric layer disposed on the bottom electrode, and at least one top electrode disposed on the at least one piezoelectric layer. Adjacent piezoelectric elements are configured to be isolated acoustically from each other. The device is utilized to measure flow or flow along with imaging anatomy.

A method for positioning one or both of a gate and a color box on an ultrasound image generated during scanning of an anatomical feature using an ultrasound scanner comprises deploying an artificial intelligence (AI) model to execute on a computing device communicably connected to the ultrasound scanner, wherein the AI model is trained so that when the AI model is deployed, the computing device generates a prediction of at least one of an optimal position, size, or angle for the gate and/or an optimal location/size of the color box on the ultrasound image generated during ultrasound scanning of the anatomical feature, thereafter enabling the acquisition of corresponding Doppler mode signals.

An ultrasound signal processing device that generates, for each detection wave, a first complex Doppler signal sequence through quadrature detection of a reception signal sequence; generates tissue velocity data by calculating velocity values for each set of coordinates of observation points in a region of interest from the first complex Doppler signal sequence; generates a second complex Doppler signal sequence by performing clutter removal filter processing on the first complex Doppler signal sequence; generates first velocity data by calculating velocity values for each set of coordinates of the observation points from the second complex Doppler signal sequence; and generates, for each set of coordinates of the observation points, second velocity data based on the first velocity data and the tissue velocity data, and third velocity data by applying a correction to velocity values of the second velocity data that have an absolute value equal to or less than a threshold.