G01S7/52077

Method for harmonic shear wave detection with a low frame rate ultrasound system

Systems and methods for harmonic shear wave detection using low frame rate ultrasound, or a three-dimensional (3D) volumetric scan, are provided. As one example, spurious motion sources, such as intrinsic tissue motion and waves that are not at the incident wave harmonic frequency, are removed based on a scanning sequence in which repeated acquisitions from a given subvolume occur closely in time so as to render effects of the spurious motions negligible. As another example, sampling frequency and center frequency are selected such that the spurious motion signal spectra do not overlap with aliased shear wave motion spectra, such that the spurious motions can be filtered.

METHOD AND SYSTEM FOR PERFORMING RETROSPECTIVE DYNAMIC TRANSMIT FOCUSSING BEAMFORMING ON ULTRASOUND SIGNALS
20180003811 · 2018-01-04 ·

Performing retrospective dynamic transmit focusing beamforming for ultrasound signals by a) transmitting plural transmit beams, each transmit beam centered at a different position along array, having width or aperture encompassing plural laterally spaced line positions, each transmit beam width or aperture overlapping width or aperture of adjacent transmit beam or more laterally spaced transmit beams; b) receiving echo signals; c) processing echo signals to produce plural receive lines of echo signals at laterally spaced line positions within width or aperture of transmit beam; d) repeating steps b), (c) for additional transmit beams of plural transmitted transmit beams; e) equalizing phase shift variance among receive lines at common line position resulting from transmit beams of different transmit beam positions concurrently with steps c), d); f) combining echo signals of receive lines from different transmit beams spatially related to common line position to produce image data; g) produces an image using image data.

Ultrasonic echo locating in a wellbore using time gain compensation

A sensor system may be used to measure characteristics of an object in a wellbore. The sensor system may include an ultrasonic transducer that generates an ultrasonic wave in a medium of the wellbore and detects a reflection signal of the ultrasonic wave off the object in the wellbore. The sensor system may also include a processing device and a memory device in which instructions are stored. The memory may include instructions that cause the processing device to receive the reflection signal from the ultrasonic transducer, and to truncate and preprocess the reflection signal to generate a truncated reflection signal. The instructions may also cause the processing device to apply time gain compensation to the truncated reflection signal and determine an echo wavelet from the time gain compensated signal representing an echo of the ultrasonic wave off of a wall of the wellbore.

Transducer spectral normalization

Systems and methods are disclosed for an ultrasound system. In various embodiments, a system is configured to receive echo data corresponding to a detection of an echo of a pulse signal, generate a set of transformations based on the echo data, and generate a set of point estimates for a frequency dependent filtering coefficient of a spectral response. The system is further configured to extract a set of attenuation coefficients based on the set of point estimates for the frequency dependent filtering coefficient and generate image data for the material of interest based on the set of attenuation coefficients.

Ultrasound imaging device and clutter filtering method using same
11701093 · 2023-07-18 · ·

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.

Ultrasound analysis apparatus and method for tissue elasticity and viscosity based on the hormonic signals

According to one embodiment, an analysis apparatus includes processing circuitry. The processing circuitry configured to generate a harmonic signal and a fundamental wave signal based on a reception signal that is collected by an ultrasound probe, the harmonic signal corresponding to a harmonic component of a reflected wave of a ultrasound generated in the subject, the fundamental wave signal corresponding to a fundamental wave component of the reflected wave, calculate a first index value indicating tissue properties of the subject based on the harmonic signal, and calculate a second index value indicating the tissue properties based on the fundamental wave signal, and display an analysis result based on the first index value and the second index value.

ULTRASOUND DIAGNOSIS APPARATUS AND RECORDING MEDIUM
20230000470 · 2023-01-05 · ·

An ultrasound diagnosis apparatus according to an embodiment is configured to implement an ultrasound beamforming method by which, among a plurality of reception signals output from a plurality of elements, reception signals from mutually-different elements are multiplied by each other, so that signals obtained as results of the multiplications are added together. The ultrasound diagnosis apparatus according to the embodiment includes processing circuitry. The processing circuitry is configured to calculate a weight coefficient on the basis of a correlation between the multiplied reception signals. The processing circuitry is configured to apply the weight coefficient to the signals obtained as the results of the multiplications.

Systems and methods for noise reduction in imaging

Systems and methods are provided for the denoising of images in the presence of broadband noise based on the detection and/or estimation of in-band noise. According to various example embodiments, an estimate of broadband noise that lies within the imaging band is made by detecting or characterizing the out-of-band noise that lies outside of the imaging band. This estimated in-band noise may be employed for denoise the detected imaging waveform. According to other example embodiments, a reference receive circuit that is sensitive to noise within the imaging band, but is isolated from the imaging energy, may be employed to detect and/or characterize the noise within the imaging band. The estimated reference noise may be employed to denoise the detected in-band imaging waveform.

Low-noise power sources for imaging systems
11536819 · 2022-12-27 · ·

Power supplies for electronic devices (e.g. medical imaging devices) are disclosed herein. In one embodiment, a switched mode power supply is minimized in size and weight while maintaining efficiency and an artifact-free image using power supply design techniques tailored to increasing the power conversion frequency to be above the desired receive band of an ultrasound imaging system. In another embodiment, a switched mode power supply is minimized in size and weight while maintaining efficiency and an artifact-free image using power supply design techniques tailored to increasing the power conversion frequency to be just below the desired receive band of an ultrasound imaging system causing the third harmonic and possibly the second harmonic to fall just above the desired receive band.

REDUCTION OF REVERBERATION ARTIFACTS IN ULTRASOUND IMAGES AND ASSOCIATED DEVICES, SYSTEMS, AND METHODS

Aspects of the present disclosure provide ultrasound systems and devices that provide for reduction of reverberation artifacts in ultrasound images by automatically changing imaging settings such as PRI or transmit/receive configuration based on detected amounts of reverberation in ultrasound images. In an exemplary embodiment, an apparatus includes a processor circuit in communication with an ultrasound probe. The processor circuit obtains a plurality of ultrasound images obtained using a plurality of different PRIs and/or pulse sequences, calculates an amount of reverberation artifacts in each of the plurality of ultrasound images, selects a pulse repetition interval and/or pulse sequence based on the amounts of reverberation artifacts in each of the plurality of ultrasound images, and controls the ultrasound transducer to obtain a reduced-reverberation ultrasound image using the selected pulse repetition interval or pulse sequence. The reduced-reverberation ultrasound image is then output to a display.