An ultrasound diagnosis apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to sequentially obtain eigenvalues of a correlation matrix of a scan range, the correlation matrix being obtained from a data sequence of reflected-wave data in mutually the same position acquired by performing an ultrasound scan on the scan range formed with a plurality of scanning lines. The processing circuitry is configured to determine a filter coefficient to be applied to a Moving Target Indicator (MTI) filter, on a basis of the plurality of eigenvalues obtained at mutually-different points in time.

An ultrasonic diagnostic apparatus includes an image generating unit configured to generate a plurality of different ultrasound image data items from reception signals corresponding to a plurality of different steering angles, on the basis of the reception signals which an ultrasound probe has generated on the basis of reflected ultrasonic waves received from a reflecting surface of a subject body by transmitting ultrasonic waves at the plurality of different steering angles, and a regression estimate generating unit configured to perform regression analysis on the basis of the different steering angles and the ultrasound image data items, and generate regression estimates which are weighting values on the basis of the result of the regression analysis, and an image synthesis unit configured to perform weighting on the plurality of ultrasound image data items on the basis of the regression estimates, and synthesize them, thereby generating synthetic image data.

An apparatus, a method, and computer-implemented media. The apparatus is to receive, simultaneously, electrical signals based on respective reflected frequencies of a reflected ultrasonic waveform reflected from a target object as a result of a transmitted ultrasonic waveform; compound information from the electrical signals to generate compounded electrical signals; and cause generation of an output image on a display based on the compounded electrical signals.

Embodiments of the disclosure provide an ultrasound beamforming method and device. The method includes: obtaining channel data of a target tissue; and processing the channel data using at least two different ultrasound beamforming methods to obtain image data of the target tissue corresponding to the different ultrasound beamforming methods, where the at least two different ultrasound beamforming methods are different in at least one of principle, step, and parameter.

A method for mapping fibrous media by propagation of ultrasound from a set transducers, wherein: a number of unfocused incident ultrasonic waves having different wavefronts are emitted; the signals reverberated by the medium toward each transducer are captured; coherent signals respectively corresponding, for each transducer, to contributions coming from different fictitious focal points in the medium are determined; and then the orientation of the fibers is determined by comparing a spatial coherence between said coherent signals, in a plurality of directions.

Circuitry for ultrasound devices is described. A multilevel pulser is described, which can provide bipolar pulses of multiple levels. The multilevel pulser includes a pulsing circuit and pulser and feedback circuit. Symmetric switches are also described. The symmetric switches can be positioned as inputs to ultrasound receiving circuitry to block signals from the receiving circuitry.

Acoustic imaging systems can include an acoustic sensing array, an electromagnetic imaging tool, a display, and an audio device. A processor can receive data from the acoustic sensor array and the electromagnetic imaging tool to generate a display image combining acoustic image data and electromagnetic image data. Systems can include an audio device that receives an audio output from the processor and outputs audio feedback signals to a user. The audio feedback signals can represent acoustic signals from an acoustic scene. Systems can provide a display image to a user including acoustic image data, and a user can select an acoustic signal for which to provide a corresponding audio output to an audio device. Audio outputs and display images can change dynamically in response to a change in pointing of the acoustic sensing array, such as by changing a stereo audio output.

Improved ultrasound imaging using coherence estimation of a beamformed signal. Ultrasound imaging using coherence estimation of a beamformed signal as described herein may be performed by applying a plurality of filters to the beamformed signal to generate a plurality of filtered beamformed signals. Normalized cross-correlation may be performed on a plurality of pairs of filtered beamformed signals to determine a coherence coefficient corresponding to each pixel of an ultrasound image, which may be used to construct a coherence estimation ultrasound image.

A catheter-based ultrasound imaging system configured to provide a full circumferential 360-degree view around an intra-vascular/intra-cardiac imaging-catheter-head by generating a three-dimensional view of the tissue surrounding the imaging-head over time. The ultrasound imaging system can also provide tissue-state mapping capability. The evaluation of the vasculature and tissue characteristics include path and depth of lesions during cardiac-interventions such as ablation. The ultrasound imaging system comprises a catheter with a static or rotating sensor array tip supporting continuous circumferential rotation around its axis, connected to an ultrasound module and respective processing machinery allowing ultrafast imaging and a rotary motor that translates radial movements around a longitudinal catheter axis through a rotary torque transmitting part to rotate the sensor array-tip. This allows the capture and reconstruction of information of the vasculature including tissue structure around the catheter tip for generation of the three-dimensional view over time.

Described here are systems and methods for estimating shear wave velocity from data acquired with a shear wave elastography system. More particularly, the systems and methods described here implement a spatiotemporal time-to-peak algorithm that searches for the times at which shear wave motion is at a maximum while also searching for the lateral locations at which shear wave motion is at a maximum. Motion can include displacement, velocity, or acceleration caused by propagating shear waves. A fitting procedure (e.g., a linear fit) is performed on a combined set of these temporal peaks and spatial peaks to estimate the shear wave velocity, from which mechanical properties can be computed. Motion amplitude thresholding can also be used to increase the number of points for the fitting.