Encoded transmit signals are provided to an ultrasound array such diverging ultrasound waves are sequentially transmitted. Each diverging ultrasound wave is generated by a respective set of encoded transmit signals, where each set of encoded transmit signals is encoded by a respective row of an N×N invertible orthogonal matrix. Only a selected subset of M rows, with N<M, is employed to encode the transmit signals. Sets of receive signals detected in response to the transmitted diverging ultrasound waves are decoded via a transposed matrix generated based on the invertible orthogonal matrix, with each set of decoded receive signals being associated with insonification via a subset of the ultrasound array elements in the fixed aperture. Synthetic aperture beamforming is performed on the decoded receive signals to generate an ultrasound image.

An ultrasound diagnostic device includes: a probe including plural elements that generate and transmit ultrasound waves and receive ultrasound waves reflected from an inspection target; a transmission unit that transmits ultrasound waves from the plural elements so as to transmit an ultrasound beam by forming a transmission focus in a first direction set in advance; and a second reception focusing unit that performs reception focusing for each reception signal received by each element of the probe according to reflection on a path in a second direction other than the first direction, among transmission wave paths of the ultrasound beam transmitted into the inspection target by the transmission unit.

A method for determining a flow acceleration directly from beamformed ultrasound data includes extracting a sub-set of data from the beamformed ultrasound data, wherein the sub-set of data corresponds to predetermined times and predetermined positions of interest, determining the flow acceleration directly from the extracted sub-set of data, and generating a signal indicative of the determined flow acceleration. An apparatus includes a beamformer (112) configured to processes electrical signals indicative of received echoes produced in response to an interaction of a transmitted ultrasound signal with tissue and generate RF data, and an acceleration flow processor (114) configured to directly process the RF data and generate a flow acceleration therefrom.

An ultrasonic diagnostic apparatus, comprising: an ultrasonic probe which scans an observation region in an object with an ultrasonic wave; and an estimated image generating unit which, by using a model having been machine-learned using learning data including first data based on a first received signal that is obtained by first transmission/reception of an ultrasonic wave and second data based on a second received signal that is obtained by second transmission/reception that represents a larger number of transmissions/receptions than the first transmission/reception of the ultrasonic wave, generates an estimated image equivalent to image data obtained by the second transmission/reception from third data based on a third received signal that is obtained by transmission/reception equivalent to the first transmission/reception of the ultrasonic wave by the ultrasonic probe.

The present disclosure provides systems and methods for ultrasound imaging using a modified variable sampling beamforming technique. Unlike conventional methods of variable sampling beamforming, in which in-phase and quadrature samples are obtained for each pixel location, in various example embodiments of the present disclosure, the pixel locations are quadrature-spaced such that for each 5 sample point, an adjacent sample point along an A-line is employed as the quadrature sample. The samples at each array element may be triggered according to the time of flight between a first pixel location and the location of the array element, such that successive samples, corresponding to successive pixel locations along the selected A-line, are obtained such that adjacent samples are spaced by a 10 time interval corresponding to a quarter of an odd number of wavelenghths of the beamformed transmit pulse, and such that only one sample is acquired per pixel.

A medical system includes a shaft, multiple ultrasound transducers and a processor. The shaft is configured for insertion into an intra-body cavity of a patient. The multiple ultrasound transducers, which are distributed over splines that form a basket catheter at a distal end of the shaft, are configured to transmit ultrasonic signals in the intra-body cavity and to receive echo signals in response to the ultrasonic signals. The processor is configured to calculate a surface of the intra-body cavity by processing the echo signals using an ellipsoidal back-projection method, which reconstructs ultrasound-wave reflecting surfaces by performing at least one of applying back-projection summation over sub-sets of scattered echo signals distributed over respective sub-sets of constructed ellipsoids and applying a non-linear minimum operator over each of the sub-sets of distributed echo signals to generate a respective minimum value for each sub-set.

An ultrasound imaging system with pixel oriented processing is provided in which a method of producing a Doppler velocity image is accomplished by emitting unfocused acoustic signals into a medium over substantially an entire field; receiving scattered and reflected ultrasonic signals on a transducer array in response to the emission; processing the received ultrasonic signals to extract information to construct a Doppler velocity signal corresponding to at least one point in the medium; and generating on a display device the Doppler velocity image from the processed Doppler velocity signal. Acquisition sequences and signal processing algorithms are described that provide improved quantification of fluid flow parameters, including improved discrimination between regions of blood flow and tissue. Very high frame rate Spectral Doppler and Vector Doppler acquisition modes for real-time and post-acquisition visualization over a large field of view are described.

Ultrasound method for extracting information from signal components relating to spatial locations in a target region such as for example image reconstruction in the spatial and temporal frequency domain comprises the steps of: Transmitting an unfocussed acoustic wave in a target region; extracting information of the scatterers in the target region from signal components relating to spatial locations of the target region by applying a backpropagation algorithm to the radiofrequency signals generated by transformation of the reflected acoustic waves and which radiofrequency signals has been transformed in the frequency-wavenumber domain and transformed back to the time spatial domain after backpropagation processing, the system provides the further step of optimizing the extracted information by applying corrections to the radio frequency received signals in the frequency-wavenumber domain. The invention relates also to an ultrasound system for carrying out said method.

This disclosure relates generally to bio-signal detection, and more particularly to method and system for non-contact bio-signal detection using ultrasound signals. In an embodiment, the method includes acquiring an in-phase I(t) baseband signal and a quadrature Q(t) baseband signal associated with an ultrasound signal directed from the sensor assembly towards the target. Magnitude and phase signals are calculated from the in-phase and quadrature baseband signals, and are filtered by passing through a band pass filter associated with a predefined frequency range to obtain filtered magnitude and phase signals. Fast Fourier Transformation (FFT) of the filtered magnitude and phase signals is performed to identify frequency of dominant peaks of spectrum of the magnitude and phase signals in the ultrasound signal. Value of the bio-signal associated with the target is determined based on weighted values of the frequency of the dominant peaks of the magnitude and phase signals.

A method for reconstructing a signal from a subset of the full signal is disclosed. In one embodiment, the method includes receiving a plurality of randomly sampled multichannel radio-frequency or in-phase and quadrature signals acquired from a physical environment including a transmitter, a propagation medium and a receiver; modelling the full signal as a matrix comprising a plurality of vector signals, wherein the full signal is expressed as a matrix product of a first matrix and a second matrix; updating the second matrix based on an objective function to produce an updated second matrix; determining a convergence parameter in dependence upon the evaluated objective function; and modifying the updated second matrix in dependence upon the convergence parameter.