A Histotripsy therapy system is provided that can include any number of features. In some embodiments, the system includes a high voltage power supply, a pulse generator electrically coupled to at least one signal switching amplifier, at least one matching network electrically coupled to the signal switching amplifier(s), and an ultrasound transducer having at least one transducer element. The Histotripsy therapy system can further include an ultrasound Doppler imaging system. The Doppler imaging system and the Histotripsy therapy system can be synchronized to enable color Doppler acquisition of the fractionation of tissue during Histotripsy therapy. Methods of use are also described.

Methods and systems for suppressing clutter effects in ultrasonic imaging systems are presented. Two or more receive beams with different and distinct beam patterns are employed for each reception boresight and each reception phase center. The clutter suppression processing is applied to the beamformed data, and is based on computing one or more features for each range-gate. These features may include variability features, providing an estimate of the variability of the signal received by the different elements of the transducer array for the range-gate, and/or derivative/slope features that are an estimation of a function of spatial derivatives of the signal received by the different elements of the transducer array for the range-gate.

An ultrasound diagnostic apparatus includes a transmitter, a receiver and a hardware processor. The transmitter outputs a drive signal for a C-mode image to an ultrasound probe. The receiver obtains a reception signal from the probe. The processor sets at least one mask in a frame of packet data of the reception signal; calculates a covariance matrix from a plurality of packet data included in the mask; calculates an eigenvector for the mask from the covariance matrix; calculates a first filter coefficient for the packet data by using the eigenvector and a gain matrix; performs interpolation on the first filter coefficient to calculate a second filter coefficient for packet data of each position in the frame; filters the packet data of the position by using the second filter coefficient; and generates C-mode image data from the filtered packet data.

The ultrasound imaging apparatus provided to quantify the degree of flash artifacts based on an ultrasound echo signal, and to notify a user of an image section with a severe flash artifact includes: a probe configured to irradiate an ultrasound signal to an object and receive an ultrasound echo signal reflected from the object; an image processor configured to obtain a color Doppler signal from which the clutter signal is removed by filtering the ultrasound echo signal, obtain a plurality of consecutive Doppler image frames based on the color Doppler signal and generate a Doppler image based on the plurality of Doppler image frames; a display configured to output the Doppler image; and a controller configured to calculate a flash artifact score of each of the plurality of Doppler image frames based on the ultrasound echo signal, generate a time line corresponding to the plurality of Doppler image frames and control the display so that flash artifact scores of each of the plurality of Doppler image frames appear on the timeline.

An ultrasonic diagnostic apparatus according to an embodiment includes filter processing circuitry and generation circuitry. The filter processing circuitry performs a filter process of removing a still or minute-moving signal on reflected wave signals of an ultrasonic wave transmitted a plurality of times in the same scanning line. The generation circuitry generates reflected wave data through a phasing addition process using reflected wave signal of each channel after the filter process performed by the filter processing circuitry.

An ultrasound system that includes a transducer configured to acquire ensemble channel/echo data and a filter bank configured to receive the echo data from the transducer, wherein the echo data is passed through a plurality of clutter filters within the filter bank to realize a plurality of echo data outputs. A processor calculates a spatial coherence value from each of the plurality of echo data outputs, compares the spatial coherence values of each filter, and selects the filter that yields a best spatial coherence for subsequent velocity estimation used to generate an output image for clinical use, where the best spatial coherence value is a highest and best spatial coherence value among the set of spatial coherence values.

A method comprising: providing an autonomous vehicle (AV) with a first estimated position of a target; directing the AV to travel toward the first estimated position at a constant velocity; receiving echo signals of transmitted sonar signals, the echo signals indicating a range and an azimuth of the target; determining a depth difference of the AV and the target based on the received echo signals, the depth difference being determined based on changes to the range and azimuth of the target over time; and in response to a depth difference existing, re-directing the AV toward a second estimated position of the target generated from the depth difference.

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.

Dynamically identifying a stationary body of fluid (102) within a test volume by scanning within the volume can entail using a first part of a pulse sequence to acoustically interrogate a region within the volume to detect pre-existing movement (124) and, via a separate acoustic interrogation constituting the second part of the pulse sequence, acoustically interrogating the region to distinguish solid from fluid. The scanning is with both interrogations as a unit, so as to span the volume with the interrogations. The body is identified, dynamically based on an outcome of the interrogations. The scanning may span, for the identifying, a current field of view (116), including normal tissue, within an imaging subject. The procedure, from scanning to identifying, may be performed automatically and without need for user intervention, although the user can optionally change the field of view to further search for stationary fluid.

An ultrasound imaging device and a clutter filtering method using the same are disclosed. The clutter filtering method using the ultrasound imaging device according to one embodiment includes obtaining ultrasound data from a field-of-view (FOV) of an object, generating decomposition data including common scale information by performing rank matrix decomposition once on all of the obtained ultrasound data, estimating local characteristic information by reflecting spatial information on each pixel to the common scale information, and extracting a blood flow signal by performing filtering on each pixel based on the estimated local characteristic information.