Methods and systems are provided for ultrasound multiplexing. In one embodiment, a system comprises: an ultrasound probe comprising a transducer array and a multiplexer, wherein for a first signal and a second signal originating at the transducer array, the multiplexer multiplexes a sum signal and a difference signal formed from the first and the second signals into a multiplexed signal; and a console coupled to the ultrasound probe via a cable, the console including a processor, wherein the console receives the multiplexed signal via the cable, and wherein the processor generates an image from the first signal and the second signal recovered from the multiplexed signal. In this way, the number of processing channels can be reduced, thereby enabling a smaller ultrasound device with less hardware, while also avoiding signal degradation from channel crosstalk and transmission variation.

An ultrasonic diagnostic apparatus according to a present embodiment includes: a transmitting and receiving circuit configured to transmit an ultrasonic wave to an ultrasonic probe and receive a signal based on the ultrasonic wave received by the ultrasonic probe; a generation circuit configured to generate multiple 2D image data in a chronological order based on the signal; an acquisition circuit configured to acquire multiple positional data of the ultrasonic probe; a memory circuit; a processing circuit configured to perform processing in such a manner that the multiple 2D image data arranged in the memory circuit according to the multiple positional data fit inside a memory space of the memory circuit; and a volume generation circuit configured to generate volume data in the memory space based on the processed multiple 2D image data.

Systems and methods for reconstructing, estimating, or otherwise generating unacquired, undetected, unreconstructed, or otherwise unknown ultrasound data using machine learning algorithms are provided. Thus, the systems and methods described in the present disclosure provide for generating unacquired, undetected, unreconstructed, or otherwise unknown data that are not actually and physically acquired with an ultrasound transducer and/or front-end receiver of an ultrasound system.

Systems, devices, and methods for ultrasonic imaging by sparse sampling are provided. In one embodiment, an ultrasound imaging system comprises an array of ultrasound transducer elements, electronic circuitry in communication with the array of ultrasound transducer elements and configured to select a first receive aperture of the array comprising a plurality of contiguous ultrasound transducer elements and at least one non-contiguous ultrasound transducer element, and a beamformer in communication with the electronic circuitry. Each ultrasound transducer element of the first receive aperture is configured to receive reflected ultrasound echoes and generate an electrical signal representative of imaging data. The beamformer is configured to receive the electrical signals generated by the first receive aperture and apply different weight to the electrical signals generated by the contiguous ultrasound transducer elements and the electrical signal generated by the at least one non-contiguous ultrasound transducer element.

An ultrasound apparatus, ultrasound-based liver examination device and ultrasound imaging method are provided. The ultrasound apparatus may include: an ultrasound probe, a transmission and receiving controller, an ultrasound echo signal processor, a data processor and a display device. The ultrasound echo signal processor may perform different processes on an ultrasound echo signal according to usage of the ultrasound echo signal. A gain compensation for enhancing image quality may be performed on a first ultrasound echo signal to be used for obtaining the ultrasound image, and a gain compensation for preserving original information may be performed on a second ultrasound echo signal to be used for calculating a quantitative parameter of a liver. The data processor may generate the ultrasound image according to the processed first ultrasound echo signal, calculate the quantitative parameter according to the processed second ultrasound echo signal, and output the ultrasound image and the quantitative parameter.

An intracardiac imaging system has an MRI compatible intracardiac echography catheter having transmitters, receivers, a multiplexer, and a beamformer. The catheter can include an atraumatic tip disposed on the distal end of the catheter, a pair of inductively coupled coils proximal the atraumatic tip, at least one CMUT-on-CMOS volumetric imaging chip disposed between the pair of coils, and a cable lumen disposed within the volume sized to house a small number of electrical connections due to significant multiplexing in the CMUT-on-CMOS chip. The catheter can be made of MRI compatible materials and can include active cooling channels.

An ultrasound diagnosis apparatus according to an embodiment includes a receiving unit and a changing unit. The receiving unit outputs an ultrasound received signal. The changing unit obtains, in accordance with a change in a spatial frequency of ultrasound image data subject to an imaging processing, a group of parameters related to a frequency characteristic of an imaging received signal that is output by the receiving unit as the ultrasound received signal to be used in the imaging processing and changes a center frequency and a frequency band to be used in the imaging processing performed on the imaging received signal, on a basis of the obtained group of parameters.

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.

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.

Circuitry for ultrasound devices is described. A multi-level pulser is described, which can support time-domain and spatial apodization. The multi-level pulser may be controlled through a software-defined waveform generator. In response to the execution of a computer code, the waveform generator may access master segments from a memory, and generate a stream of packets directed to pulsing circuits. The stream of packets may be serialized. A plurality of decoding circuits may modulate the streams of packets to obtain spatial apodization.