The invention provides an ultrasound imaging apparatus capable of highly accurately extracting a blood flow in a fine blood vessel in a short time. N pieces of frame data is generated by receiving ultrasound waves reflected by a subject with a plurality of transducers. A correlation matrix is generated based on a vector in which data at a corresponding position of the frame data is arranged for N frames, and a singular value and a singular vector for each of N ranks are calculated. A first filter element is calculated based on a variance between data at a corresponding position zx among a plurality of blood flow component frame data obtained by multiplying a plurality of the frame data by singular vectors at a threshold rank k or more. The second filter element is calculated based on the tissue component frame data obtained by multiplying the frame data by a singular vector at a rank 1. The frame data is weighted by the first filter element and/or the second filter element to generate a clutter reducing image.

Provided is an ultrasound imaging apparatus capable of reducing examination time with optimizing parameters on an examination basis. A subject is irradiated with an ultrasound wave, and a plurality of ultrasound transducers receives the ultrasound wave from the subject to obtain received signals. A feature value is calculated from the received signals, the feature value indicating a frequency-dependent characteristic of attenuation of the ultrasound wave, associated with propagation of the ultrasound wave through the subject. A predetermined processing is performed on the received signals using one or more received-signal processing parameters to generate an image. An image processing is performed on the generated image using one or more image processing parameters. Values of the received-signal processing parameter and the image processing parameter are determined based on the feature value.

An ultrasound diagnostic apparatus according to an embodiment includes an ultrasound probe, and processing circuitry. The ultrasound probe performs transmission of ultrasonic pulses of different polarities to different transmission positions of a subject for multiple times. The processing circuitry performs, for each of the different polarities, reception beam-forming processing with respect to plural reception signals acquired by transmission of plural ultrasonic pulses of an identical polarity. The processing circuitry extracts a non-linear signal by adding up reception signals of the different polarities at an identical reception position, the signals subjected to reception beam forming.

A piezoelectric micro-machined ultrasonic transducer (PMUT) is provided, comprising a dedicated ultrasonic transmitter and at least one separate dedicated ultrasonic receiver on a single common semiconductor die. A plurality of PMUTs may be arranged in a tessellated array. Also disclosed is a system comprising at least one PMUT on a single common semiconductor die, a dedicated ultrasonic transmitter arranged to transmit a first ultrasonic signal and at least one separate dedicated ultrasonic receiver arranged to receive a second ultrasonic signal is also provided. The system further comprises a signal processing subsystem which comprises an analogue domain; a digital domain; a digital to analogue converter; and an analogue to digital converter. The signal processing subsystem is arranged to generate an estimated direct path signal in said digital domain, convert said estimated direct path signal to an analogue estimated direct path signal using said digital to analogue converter, subtract said analogue estimated direct path signal from said second signal to produce a modified received signal and convert said modified received signal to a digital modified received signal using said analogue to digital converter.

The invention relates to the field of ultrasonic imaging detection, and more particularly, to an ultrasonic system of a contact type flexible conformal ultrasonic probe and a method for the same. The ultrasonic system comprises: a flexible probe, comprising a flexible detection surface, a plurality of probe units, and a soft film sensing surface; a switch module; a control module, comprising: a transmitting control unit for sequentially controlling the probe units in the probe array to transmit the ultrasonic signal; a receiving control unit for sequentially controlling the probe units in the probe array to receive the ultrasonic signal, and for processing the ultrasonic signal to obtain a ultrasonic image. The present invention has the following beneficial effects: the use of a flexible probe for acquiring an ultrasonic image allows to solve the problem that the operation process and imaging steps are complicated when using a rigid probe.

Systems and methods are provided for motion corrected wide-band pulse inversion ultrasonic imaging. A first pulse is transmitted, a second pulse is then transmitted after a delay, with the second pulse having different polarity. Echoes of the first pulse and the second pulse are received, using a reception bandwidth that enables capturing at least a portion of a fundamental portion of each pulse. The echoes are processed, and corresponding ultrasound images are generated based on processing. The processing includes determining displacement data between the first pulse echo and the echo of the second pulse for at least one structure in an imaged area; determining one or more displacement corrections based on the displacement data; applying at least one displacement correction to at least one of the first pulse echo and the echo of the second pulse; and combining the first pulse echo and the echo of the second pulse.

There are provided an acoustic wave image generating apparatus for generating a B-mode image having a fixed brightness and a control method thereof. First brightness information (81) indicating the brightness of a first B-mode image in the depth direction of the subject is generated. Positional deviation correction is performed on an acoustic wave echo signal having a positional deviation between the focusing position of acoustic waves and the observation target position, and second brightness information (82) indicating the brightness in the depth direction of the subject is generated from a superposition signal obtained by superimposing an acoustic wave echo signal for which the positional deviation has been corrected and an acoustic wave echo signal without positional deviation. The brightness of the first B-mode image is corrected based on the first brightness information and the second brightness information.

Aspects of the technology described herein relate to apparatuses and methods for performing elevational beamforming of ultrasound data. Elevational beamforming may be implemented by different types of control circuitry. Certain control circuitry may be configured to control memory such that ultrasound data from different elevational channels is summed with stored ultrasound data in the memory that was collected at different times. Certain control circuitry may be configured to control a decimator to decimate ultrasound data from different elevational channels with different phases. Certain control circuitry may be configured to control direct digital synthesis circuitry to add a different phase offset to complex signals generated by the DDS circuitry for multiplying with ultrasound data from different elevational channels.

A reception beamformer 140 includes a delay-and-sum unit 142 that performs delay-and-sum processing with respect to reception signal sequences from multiple channels based on reflected ultrasound to calculate acoustic line signal line data. The delay-and-sum unit 142, in first reception beamforming processing, synthesizes the acoustic line signal line data calculated in the delay-and-sum processing by summing acoustic line signals associated with the observation points having the same positions, and, in the second reception beamforming processing, outputs the acoustic line signal data calculated in the delay-and-sum processing as is. Time taken by the delay-and-sum unit 142 to generate the acoustic line signal line data per set of acoustic line signal line data is equal or approximately equal in the first reception beamforming processing and the second reception beamforming processing.

A computer-implemented method for training and using a neural network to predict a coherence function includes: training a neural network by mapping a plurality of different sets of training input samples to respective coherence function truths to generate a trained neural network; receiving an operational input sample; inputting the operational input sample into the trained neural network; obtaining, from the trained neural network, a coherence function mapped to the operational input sample in response to the inputting the operational input sample into the trained neural network; and executing a computer-based instruction based on obtaining the coherence function. The coherence function may be used to differentiate solid masses from fluid-filled masses.