A continuous wave, frequency diverse array (FDA) Detector, Transmitter, Receiver and/or Method are disclosed. The frequencies can be radio waves or sonic waves. Different frequencies are applied to each transmitter element, to generate transmissions schemes with repeating patterns of constructive interference (e.g. each pattern may be a spiral). The patterns differ (e.g. opposite spiral directions to help determine azimuth, or different spiral rotation speeds to help determine range), to a sufficient extent that from the timing of signal reflected back as a result of each one, the azimuth and/or range of an object can be determined, irrespective of where the object/target is in the field of view. Use of continuous wave transmissions enables lower transmission powers and/or avoids requiring an expensive beam-steering transmitters or receivers.

Aspects of the technology described herein relate to wirelessly offloading, from a wearable ultrasound device, ultrasound data sufficient for forming one or more ultrasound images therefrom. The wearable ultrasound device may include an ultrasound patch. Indications that may be monitored with such a device, and therapeutic uses that may be provided by such a device, are also described. Methods and apparatuses are also described for compounding multilines of ultrasound data on an ultrasound device configured to collect the ultrasound data. Additionally, certain aspects of the technology relate to non-uniform grouping of ultrasound transducers that share a transmit/receive circuit in an ultrasound device.

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.

The present disclosure describes ultrasound systems and methods configured to determine the elasticity of a target tissue. Systems can include an ultrasound transducer configured to acquire echoes responsive to ultrasound pulses transmitted toward the tissue, which may include a region of increased stiffness. Systems can also include a beamformer configured to control the transducer to transmit a push pulse into the tissue, thereby generating a shear wave in the region of increased stiffness. The beamformer can be configured to control the transducer to emit tracking pulses adjacent to the push pulse. Systems can further include a processor configured to determine a displacement amplitude of the shear wave and based on the amplitude, generate a qualitative tissue elasticity map of the tissue. The processor can combine the qualitative map with a quantitative map of the same tissue, and based on the combination, determine a boundary of the region of increased stiffness.

An ultrasonic diagnostic apparatus includes: a hardware processor that determines a focal position of a push wave, and positions of observation points in a region of interest indicating an analysis target range within the subject, causes the ultrasonic probe to perform transmission of a push wave focusing on the focal position, and subsequent to the transmission, causes the ultrasonic probe to transmit a detection wave passing through the region of interest within the subject, and calculates amounts of displacement of tissue of the subject at the observation points on the basis of a reflected wave obtained by the ultrasonic probe in response to the transmission of the detection wave, calculates propagation speeds of the shear wave in the tissue of the subject with respect to the observation points on the basis of the amounts of displacement, and evaluates values of the propagation speeds calculated to create an evaluation result.

Systems and methods for generating adaptive contrast accumulation imaging images are disclosed. A point spread function thinning/skeletonization technique may be performed on contrast enhanced image frames. An aggressiveness parameter of the technique may be adapted temporally and/or spatially. The aggressiveness parameter may be adapted based on various factors, including, but not limited to, time since injection of the contrast agent, signal intensity, and/or vessel size. The images may be temporally accumulated to generate a final sequence of adaptive contrast accumulation imaging images.

An intraoperative ultrasound imaging system and method capable of using ultrasound imaging to safely place a surgical access instrument (e.g. guide wire, dilator, cannula, etc.) through a tissue (e.g., muscle, fat, brain, liver, lung, etc.) without damaging nearby neurovascular structure is described herein. The intraoperative ultrasound system includes an ultrasound probe assembly configured for emitting and receiving ultrasound waves and a computer system including a processor and a display unit. Once the probe is in position, ultrasound imaging is performed wherein the computer receives RF data from the probe and causes a B-mode image of the visible anatomical structures (e.g. muscle, bone, etc.) to be displayed on the display unit.

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.

An optomechanical ultrasound detector includes: a micromirror substrate; a mechanical resonator that receives ultrasound waves, oscillates at resonator frequency f.sub.r, changes cavity length L.sub.c, and produces intra-cavity light; and an optical microcavity between the micromirror substrate and the mechanical resonator with cavity length Lc and cavity resonance frequency f.sub.c formed by the mechanical resonator and the micromirror substrate, such that the micromirror substrate produces cavity output light from the intra-cavity light, wherein the cavity output light optically encodes information about the ultrasound waves received by the mechanical resonator.

A clutter signal mixed in a blood flow signal is reduced in a color Doppler, and blood flow visibility is improved. A combination of parameters that maximize a difference between a blood flow and a clutter (a signal other than the blood flow) is determined by analyzing a reception signal, a clutter estimated value (a value indicating a degree of being estimated as a clutter) is set based on the combination, and a reduction coefficient map (hereinafter, simply referred to as a reduction map) that reduces a clutter signal is generated based on the estimated value. The clutter signal is reduced by multiplying the reception signal (an IQ signal after quadrature detection) by the reduction map.