Ultrasound image devices, systems, and methods are provided. In one embodiment, an ultrasound imaging system includes an ultrasound imaging probe configured to acquire image data associated with an object at an acquisition data rate; and a communication interface in communication with the ultrasound imaging probe and configured to transmit a first subset of the image data in real time based on the acquisition data rate; and transmit a second subset of the image data at a delayed time. In one embodiment, a method of ultrasound imaging includes acquiring, by an ultrasound imaging probe, image data associated with an object at an acquisition data rate; transmitting, to a host via a communication link, a first subset of the image data in real time based on the acquisition data rate; and transmitting, to the host via the communication link, a second subset of the image data at a delayed time.

There are provided an ultrasound image generating apparatus, which generates a high-quality ultrasound image even in a deep portion of a subject, and a control method thereof. In an ultrasound image (Img), for a portion (Ar1) equal to or less than a depth threshold value (D1), a real scanning line (L1) obtained from an acoustic wave echo signal is used. In the ultrasound image (Img), for a portion (Ar2) deeper than the depth threshold value (D1), an interpolation scanning line (L2) located between the real scanning lines (L1) is generated from an acoustic wave echo signal having a positional deviation between a focusing position of ultrasound waves and an observation target position. Also for a portion deeper than the interpolation scanning line (L2), a high-quality ultrasound image (Img) is obtained.

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.

Provided are an ultrasound imaging apparatus and a method of operating the same. The ultrasound imaging apparatus may generate a plurality of color Doppler mode images by extracting a plurality of pieces of ensemble data from among ultrasound data acquired from the object.

Ultrasound image devices, systems, and methods are provided. In one embodiment, a medical ultrasound imaging system (100) includes a communication link (150) including at least one data lane in communication with a host system (130); and an ultrasound imaging probe (110), comprising an ultrasound imaging component (112) configured to provide a plurality of analog ultrasound echo channel signals (160); a plurality of analog-to-digital converters, ADCs (116) coupled to the ultrasound imaging component (112), the plurality of ADCs (116) configured to generate channelized ultrasound echo data streams (162) based on the plurality of analog ultrasound echo channel signals (160); a multiplexer, MUX (118) coupled to the plurality of ADCs (116) and configured to multiplex the channelized ultrasound echo data streams (162) into a multiplexed channelized ultrasound echo data stream (164); and a communication interface (122) coupled to the MUX (118) and the communication link (150), the communication interface (122) configured to transmit a digital signal including the multiplexed channelized ultrasound echo data stream (164) to the host system (130).

The present disclosure describes ultrasound imaging systems and methods configured to generate ultrasound images based on undersampled ultrasound data. The ultrasound images may be generated by applying a neural network trained with samples of known fully sampled data and undersampled data derived from the known fully sampled data to a acquired sparsely sampled data. The training of the neural network may involve training adversarial generative network including a generator and a discriminator. The generator is trained with sets of known undersampled data until the generator is capable of generating estimated image data, which the classifier is incapable of differentiation as either real or fake, and the trained generator may then be applied to unknown undersampled data.

Ultrasound apparatus and methods of processing signals are described. The ultrasound apparatus may include multiple channels. In some embodiments, signal processing techniques are described, which in some embodiments are performed on a per-channel basis. The signal processing techniques may involve using down-conversion and filtering of signals on multiple channels. The down-conversion and filtering may be done prior to beamforming.

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.

The disclosed technology relates to imaging catheters. A method is provided that includes: receiving, from a plurality of transducers disposed on a catheter probe, a corresponding plurality of analog signals; selectively sampling the plurality of analog signals; multiplexing to produce a sequence of samples; and transmitting the sequence of samples to a receiver circuit. The receiver circuit includes a clock; an analog to digital converter (ADC) in communication with the clock; and a sampling phase correction circuit in communication with the clock and the ADC. The method further includes: determining optimum sampling times based on measured signal delays associated with the system; adjusting a phase of the clock based on the measured signal delays; and communicating the phase-adjusted clock to the transmitter circuit for the selective sampling of the analog signals. Certain embodiments of the disclosed technology may further be utilized in conjunction with beamforming.

To implement a single-chip ultrasonic imaging solution, on-chip signal processing may be employed in the receive signal path to reduce data bandwidth and a high-speed serial data module may be used to move data for all received channels off-chip as digital data stream. The digitization of received signals on-chip allows advanced digital signal processing to be performed on-chip, and thus permits the full integration of an entire ultrasonic imaging system on a single semiconductor substrate. Various novel waveform generation techniques, transducer configuration and biasing methodologies, etc., are likewise disclosed. HIFU methods may additionally or alternatively be employed as a component of the ultrasound-on-a-chip solution disclosed herein.