A method of full-field or “ping-based” Doppler ultrasound imaging allows for detection of Doppler signals indicating moving reflectors at any point in an imaging field without the need to predefine range gates. In various embodiments, such whole-field Doppler imaging methods may include transmitting a Doppler ping from a transmit aperture, receiving echoes of the Doppler ping with one or more separate receive apertures, detecting Doppler signals and determining the speed of moving reflectors. In some embodiments, the system also provides the ability to determine the direction of motion by solving a set of simultaneous equations based on echo data received by multiple receive apertures.

The embodiments of the present disclosure disclose an ultrasound imaging method and system, the method may include transmitting a plurality of plane wave ultrasound beams to a scan target and acquiring corresponding plane wave echo signals; transmitting focused ultrasound beams to the scan target and acquiring corresponding focused beam echo signals; acquiring a plurality of velocity components of a target point in the scan target using the plane wave echo signals, and acquiring velocity vectors of the target point according to the plurality of velocity components; acquiring an ultrasound image of the scan target using the focused beam echo signals; and displaying the velocity vector and the ultrasound image.

Vector Doppler Imaging (VDI) improves on conventional Color Doppler Imaging (CDI) by giving speed and direction of blood flow at each pixel of a display generated by a computing system. Multiple angles of Plane wave transmissions (PWT) via an ultrasound transducer conveniently give projected Doppler measurements over a wide field of view, providing enough angular diversity to identify velocity vectors in a short time window while capturing transitory flow dynamics. A fast, aliasing-resistant velocity vector estimator for PWT is presented, and VDI imaging of a carotid artery with a 5 MHz linear array is shown using a novel synthetic particle flow visualization method.

An ultrasound imaging system includes a transducer array (202) with a plurality of transducer elements (206) configured to transmit a pulsed field beam into a scan field of view, receive echo signals produced in response to the pulsed field interacting with particles/structure flowing/moving in the scan field of view, and generate electrical signals indicative of the echo signals. The ultrasound imaging system further includes a beamformer (212) including multiple synthetic transmit aperture beamformers configured to process the electrical signals over a plurality of processing channels (312) into corresponding receive-beams of RF-data with a beam-level delay, channel-level delays, a beam-level gain and channel-level gains. The ultrasound imaging system further includes a velocity processor (216) configured to estimate a flow velocity of the structure flowing in the scan field of view from the RF-data. The ultrasound imaging system further includes a rendering engine (224) configured to display the flow velocity estimate on a display (226) with color-coding.

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 imaging system (100) includes a 2-D transducer array (102) with a first 1-D array (104, 204) of one or more rows of transducing elements (106, 204.sub.1, . . . 204.sub.6) configured to produce first ultrasound data and a second 1-D array (104, 206) of one or more columns of transducing elements (106, 206.sub.1, . . . 206.sub.6) configured to produce second ultrasound data. The first and second 1-D arrays are configured for row-column addressing. The ultrasound imaging system further includes a controller (112) configured to control transmission and reception of the first and second 1-D arrays, and a beamformer (114) configured to beamform the received first and second echoes to produce ultrasound data, and an image processor (116) configured to process the ultrasound data to generate an image, which is displayed via a display (224).

An apparatus includes a processor and a display. The processor includes a combiner configured to combine contrast data acquired with a same sub-aperture, for each of a plurality of sub-apertures, to create a contrast frame for each of the sub-apertures. The processor includes a microbubble detector configured to determine positions of microbubbles in the contrast frames. The processor includes a motion estimator configured to estimate a motion field based on frames of B-mode data for each of the plurality of sub-apertures. The processor includes a motion corrector configured to motion correct the positions of the microbubbles in the contrast frames based on the motion field and time delays between emissions for the sets of contrast data and the emission for B-mode data, for each of the plurality of sub-apertures, to produce motion corrected contrast frames. The display is configured to display the motion corrected contrast frames as super resolution images.

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.

Provided are an ultrasonic signal processing device that can evaluate reliability of a velocity vector calculated by sub-pixel tracking, an ultrasonic diagnosis apparatus, and an ultrasonic signal arithmetic processing method. The ultrasonic signal processing device includes an echo signal acquisition unit that acquires an echo signal reflected by an object to be inspected, a velocity vector calculation unit that calculates a velocity vector using the echo signal, a post-parallel-movement signal generation unit that generates a post-parallel-movement signal obtained by approximately parallelly moving the echo signal, an image deformation component extraction unit that extracts an image deformation component which is a change component of a signal value due to deformation of an image from a deviation between the post-parallel-movement signal and the echo signal, and an error energy calculation unit that calculates an error energy of the velocity vector from the image deformation component.

The invention provides a method for obtaining a parameter relating to flow from a vessel. The method begins by obtaining ultrasound data, which includes Doppler ultrasound data, from an imaging plane and identifying a vessel cross section within the imaging plane based on the ultrasound data. A shape of the identified vessel cross section is then determined and a vessel axis extending along the length of the vessel is determined based on the shape of the identified vessel cross section, with the assumption of a circular cross section on a plane perpendicular to the vessel axis. A Doppler angle is determined between the vessel axis and the imaging plane and the parameter relating to flow derived based on the Doppler angle, the vessel axis and the Doppler ultrasound data.