Ultrasound signal processing device including: transmitter performing transmission events while varying a focal point; receiver generating, for each transmission event, receive signal sequences for transducer elements; delay-and-sum calculator generating, for each transmission event, a sub-frame acoustic line signal including an acoustic line signal for each measurement point located on target lines passing through the focal point and composing a target line group; and synthesizer combining sub-frame acoustic line signals to generate a frame acoustic line signal. The target lines are straight lines, and any measurement point, on any target line, that is spaced away from the focal point by a predetermined distance or more satisfies a condition that distance between the measurement point and a most nearby measurement point on the same target line is smaller than distance between the measurement point and a most nearby one among measurement points on an adjacent target line.

An ultrasound imaging system includes a processor programmed to generate an anatomy image and a number of needle frames at different transmit beam angles. The system analyzes the data in the needle frames and selects segments therein that are identified as likely representing an interventional instrument. Data from one or more needle frames are blended with the data for the anatomy image of the tissue to create a composite image of the tissue and the interventional instrument.

To implement a single-chip ultrasonic imaging solution, on-chip signal processing may be employed in the receive signal path to reduce data bandwidth and an output data module may be used to move data for all received channels off-chip as a digital data stream. The digitization of received signals on-chip allows advanced digital signal processing to be performed on-chip, and thus permits the full integration of an entire ultrasonic imaging system on a single semiconductor substrate. The on-chip digitization of received signals also enables the on-chip integration of ultrasound processing and/or pre-processing to reduce the burden on off-chip computing. Data compression architectures are disclosed to facilitate the transfer of data off-chip as a digital data stream in accordance with the bandwidth requirements of standard commercially-available output interfaces.

Systems and methods for multi-level vascular imaging for construction and display of vasculature from large to small vessels and micro-vessels using a combination of varying resolution contrast enhanced ultrasound flow imaging modalities are disclosed. While one or more resolution flow imaging modes may be employed for imaging large to small vessels of a vascular tree within a large region of interest, a high resolution mode, such as super resolution imaging, constructed for delineation of the microvascular morphology and directional microcirculation is provided within one or more small ROIs placed in selected locations within the larger ROI.

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.

A medical image processing apparatus according to an embodiment includes processing circuitry configured to generate an output data set apparently expressing a second data set obtained by transmitting and receiving an ultrasound wave, for each scanning line, as many times as a second number that is larger than a first number, by inputting a first data set to a trained model that generates the output data set on a basis of the first data set obtained by transmitting and receiving an ultrasound wave as many times as the first number for each scanning line.

An ultrasound diagnostic apparatus in accordance with one aspect of the disclosure includes: a plurality of channels configured to transmit and receive signal with a plurality of transducer elements comprised in a probe; a beamformer configured to perform beamforming a signal received from a preset number of active channel among the plurality of channels; a switch configured to connect the probe and the plurality of channels; and a controller configured to determine a faulty channel among the plurality of channels, compare whether the number of the plurality of channels is greater than or equal to the number of the plurality of transducer elements and control the switch based on the comparison result when the faulty channel is comprised in the active channel.

Approaches for performing magnetic resonance (MR) imaging of an anatomic region in conjunction with an ultrasound operation on the anatomic region include transmitting multiple ultrasound waves or pulses having a fundamental frequency and multiple harmonics to the anatomic region; transmitting an MR pulse sequence to the anatomic region and receiving, therefrom, MR signals within a band of frequencies; and causing the band of frequencies to be located between two adjacent frequencies of the harmonics.

An ultrasound imaging system may acquire short and/or undersampled radiofrequency ensembles for generating color Doppler images. The ultrasound imaging system may process the short and/or undersampled ensembles to simulate color Doppler images acquired from long radiofrequency ensembles. In some examples, the ultrasound imaging system may include a neural networks to process the ensembles. In some examples, the neural network may include two serial neural networks. In some examples, during training of the neural network, a power Doppler-based flow mask may be used on the output of the neural network. In some examples, during training of the neural network, an adversarial loss may be used on the output of the neural network.

An ultrasound system includes a transducer array configured to generate analog ultrasound signals. The system includes one or more analog-to-digital converters (ADCs) in communication with the transducer array. The ADCs is configured to convert the analog ultrasound signals to digital ultrasound signals. The system includes a processor circuit in communication with the ADCs. The processor circuit includes digital in-phase/quadrature (I/Q) mixers configured to generate digital continuous wave (CW) Doppler signals based on the digital ultrasound signals. The processor circuit is configured to process the digital CW Doppler signals, generate a graphical representation of a distribution of blood flow velocities over a plurality of cardiac cycles, and output the graphical representation to a display in communication with the processor circuit.