An apparatus and method for generating high quality, high frame rate images in a handheld or hand-carried ultrasonic imaging machine. The apparatus includes an image enhancer to reduce speckle noise and improve the compressibility of the resulting image. This approach reduces the required hardware and power consumption to satisfy the physical space, power, and limited processing power of a handheld probe and enables high quality images to be transmitted efficiently over low-bandwidth connections.

Aspects of the technology described herein related to controlling, using control circuitry, modulation circuitry to modulate and delay first ultrasound data generated by first ultrasound transducers positioned at a first azimuthal position of an ultrasound transducer array of an ultrasound device and second ultrasound data generated by second ultrasound transducers positioned at a second azimuthal position of the ultrasound transducer array of the ultrasound device, such that the first ultrasound data is delayed by a first delay amount and the second ultrasound data is delayed by a second delay amount that is different from the first delay amount. The first and second ultrasound data received from the modulation circuitry may be filtered and summed. The ultrasound transducer array, the control circuitry, the modulation circuitry, the filtering circuitry, and the summing circuitry may be integrated onto a semiconductor chip or one or more semiconductor chips packaged together.

Aspects of the technology described herein relate to ultrasound device circuitry as may form part of a single substrate ultrasound device having integrated ultrasonic transducers. The ultrasound device circuitry may facilitate the generation of ultrasound waveforms in a manner that is power- and data-efficient.

The invention concerns a digitizing ASIC (3) for an ultrasound scanning unit (2) of an ultrasound system (1), comprising: an array of analogue-to-digital converters (31) adapted to receive ultrasound signals acquired with an ultrasound transducer array and to convert the ultrasound signals into digitized ultrasound data; a memory module (32) operably coupled to the array of analogue-to-digital converters (31) and adapted to store the digitized ultrasound data; a transmitter operably coupled to the memory module (32) and adapted to transfer the digitized ultrasound data stored in the memory module (32) to a remote interface unit (6); and a controller (33) adapted to receive control signals from the interface unit (6), and, responsive to the control signals, configure the operation of components of the ASIC (3) and/or the ultrasound scanning unit (2) by setting operation parameters, wherein the controller (33) is adapted to change operation parameters of the ASIC (3) and/or the ultrasound scanning unit (2) during an insonification cycle and/or from one insonification cycle to the next.

An ultrasound apparatus, ultrasound-based liver examination device and ultrasound imaging method are provided. The ultrasound apparatus may include: an ultrasound probe, a transmission and receiving controller, an ultrasound echo signal processor, a data processor and a display device. The ultrasound echo signal processor may perform different processes on an ultrasound echo signal according to usage of the ultrasound echo signal. A gain compensation for enhancing image quality may be performed on a first ultrasound echo signal to be used for obtaining the ultrasound image, and a gain compensation for preserving original information may be performed on a second ultrasound echo signal to be used for calculating a quantitative parameter of a liver. The data processor may generate the ultrasound image according to the processed first ultrasound echo signal, calculate the quantitative parameter according to the processed second ultrasound echo signal, and output the ultrasound image and the quantitative parameter.

Systems and methods are provided for compressing and decompressing data in an ultrasound beamformer. The systems and methods include an encoder for compressing delay data based at least in part on a smoothness of a delay profile, and for compressing apodization data based at least in part on a smoothness of an apodization profile.

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.

Systems and methods for encoding radiofrequency, RF, data, e.g., electrical signals, by a microbeamformer are disclosed herein. The microbeamformer may use a pseudo-random sampling pattern (700) to sum samples of the RF data stored in a plurality of memory cells. The memory cells may be included in a delay line of the microbeamformer in some examples. The summed samples may form an encoded signal transmitted to a decoder which reconstructs the original RF data from the encoded signal. The decoder may use knowledge of the pseudo-random sampling pattern to reconstruct the original data in some examples.

The present disclosure describes ultrasound imaging systems and methods configured to generate ultrasound images based on undersampled ultrasound data. The ultrasound images may be generated by applying a neural network trained with samples of known fully sampled data and undersampled data derived from the known fully sampled data to a acquired sparsely sampled data. The training of the neural network may involve training adversarial generative network including a generator and a discriminator. The generator is trained with sets of known undersampled data until the generator is capable of generating estimated image data, which the classifier is incapable of differentiation as either real or fake, and the trained generator may then be applied to unknown undersampled data.

A method includes receiving from multiple transducers (28) respective signals including reflections of a transmitted coded signal from a target. An image (42) of the target is produced by computing transducer-specific frequency-domain coefficients for each of the received signals, deriving, from the transducer-specific frequency-domain coefficients, beamforming frequency-domain coefficients of a beamformed signal in which (i) the reflections are applied pulse compression, and (it) the reflections received from a selected direction relative to the transducers are emphasized, and reconstructing the image of the target at the selected direction based on the beamforming frequency-domain coefficients.