The present disclosure provides a signal processing method, comprising: obtaining a Doppler ultrasound signal; converting two adjacent groups of ultrasound signals of the Doppler ultrasound signal into frequency domain signals, and obtaining a result of the signal filling by filling missing ultrasound signals in a preset time period based on the frequency domain signals, the preset time period being an acquisition time interval of the two adjacent groups of ultrasound signals; and determining a target Doppler ultrasound signal based on the result of the signal filling.

Techniques, systems, and devices are disclosed for synthetic aperture ultrasound imaging using a beamformer that incorporates a model of the object. In some aspects, a system includes an array of transducers to transmit and/or receive acoustic signals at an object that forms a synthetic aperture of the system with the object, an object beamformer unit to (i) beamform the object coherently as a function of position, orientation, and/or geometry of the transducers with respect to a model of the object, and (ii) produce a beamformed output signal including spatial information about the object derived from beamforming the acoustic echoes; a data processing unit to process data and produce an image of the object based on a rendition of the position, the orientation, the geometry, and/or the surface properties of the object, relative to the coordinate system of the array, as determined by the data processing unit.

Systems and methods for ultrasound imaging using a delay-encoded harmonic imaging (“DE-HI”) technique is provided. An ultrasound pulse sequence is coded using temporal delays between ultrasound emissions within a single transmission event. This coded scheme allows for harmonic imaging to be implemented. The temporal time delay-codes are applied temporally to multiple different ultrasound emissions within a single transmission event, rather than spatially across different transmitting elements. The received radio frequency (“RF”) signals undergo a decoding process in the frequency domain to recover the signals, as they would be obtained from standard single emissions, for subsequent compounding. As one specific example, a one-quarter period time delay can be used to encode second harmonic signals from each angle emission during a single multiplane wave (“MW”) transmission event, rather than inverting the polarity of the pulses as in conventional MW imaging.

A system produces sensed images. The system includes a sensor array, an image display device, and a processor that generates an image illustrating contents of an expanded field of view. The processor receives sensor element data from the sensor array, performs zero padding and discrete Fourier transform to result in a sensor wavenumber data buffer. The processor determines reference point locations, and generates a reference Fresnel field. The processor obtains an inverse Huygens-Fresnel transfer data buffer based on the reference Fresnel field. The processor multiplies each data element of the sensor wavenumber buffer with each corresponding data element of the inverse Huygens-Fresnel transfer data buffer. The processor generates a rectilinear spectrum data buffer based on the multiplication. The processor performs Stolt mapping and uniformly resampling to achieve image data.

An ultrasound signal processing device includes a transmitter that causes transducers to transmit an ultrasound beam, a receiver that, based on reflected waves received by reception transducers, generates reception signal sequences corresponding to the reception transducers, and a delay-and-sum section that, for a reference observation point in a region of interest, calculates delay times of reflected wave arrival to each of the reception transducers from the reference observation point as reference delay times and generates acoustic line signals by using the reference delay times corresponding to the reception transducers. For one or more dependent observation points in the region of interest that are contiguous in a depth direction from the reference observation point, the delay-and-sum section generates acoustic line signals by applying the reference delay times corresponding to the reception transducers.

Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system, comprising an array of acoustic elements configured to transmit ultrasound energy into an anatomy and to receive ultrasound echoes associated with the anatomy; and a processor circuit in communication with the array of acoustic elements and configured to receive, from the array, ultrasound channel data corresponding to the received ultrasound echoes; normalize the ultrasound channel data by applying a first scaling function to the ultrasound channel data; generate beamformed data by applying a predictive network to the normalized ultrasound channel data; de-normalize the beamformed data by applying a second scaling function to the beamformed data; generate an image of the anatomy from the beamformed data; and output, to a display in communication with the processor circuit, the image of the anatomy.

An ultrasound diagnostic device includes: a probe including plural elements that generate and transmit ultrasound waves and receive ultrasound waves reflected from an inspection target; a transmission unit that transmits ultrasound waves from the plural elements so as to transmit an ultrasound beam by forming a transmission focus in a first direction set in advance; and a second reception focusing unit that performs reception focusing for each reception signal received by each element of the probe according to reflection on a path in a second direction other than the first direction, among transmission wave paths of the ultrasound beam transmitted into the inspection target by the transmission unit.

A method for computing a tissue reflectivity function (TRF) is provided. This method comprises accessing radio-frequency (RF) data and computing a point spread function (PSF), to obtain the TRF. The RF data accessed are data obtained by beamforming time signals from an array of transducers of an ultrasound device. Next, for each pair (r, s) of given pairs of points in the imaging plane, the PSF is computed as a sum of contributions from at least some of the transducers. Each contribution is computed by evaluating a transducer's transfer function, based on two outputs of a respective time-of-flight function. Such outputs are obtained by evaluating the time-of-flight function at a first point r and at a second point s of each pair, respectively. Finally, the RF function can be deconvoluted, based on the computed PSF, so as to obtain the TRF.

According to one embodiment, an ultrasonic diagnostic apparatus includes at least a memory circuitry, a processing circuitry, a data interpolation circuitry, and an image generating circuitry. The memory circuitry stores a plurality of pieces of reception data in an order of reception, the plurality of pieces of reception data being received continuously in a time series by a plurality of transducers, and specifies reading positions in an order different from the order of reception. The processing circuitry calculates a delay time, and calculates, based on the delay time, reading positions for acquiring reception data being used for calculating interpolation data from the memory circuitry. The data interpolation circuitry calculates interpolating data based on the plurality of pieces of reception data acquired from the calculated reading positions of the memory circuitry. The image generating circuitry generates an ultrasonic image based on a reception beam formed by using the interpolation data.

Ultrasound imaging devices, systems, and methods are provided. In one embodiment, an ultrasound imaging system comprising a processor configured to receive ultrasound channel data representative of a subject's anatomy generated from an ultrasound transducer; apply a predictive network to the ultrasound channel data to generate an image of the subjects anatomy; and output, to a display in communication with the processor, the image of the subjects anatomy. In one embodiment, a system for generating an image, the system comprising a memory storing at least one machine learning network; and a processor in communication with the memory, the processor configured to receive raw channel data generated from an ultrasound transducer; apply the machine learning network to the raw channel data to replace one or more image processing steps, thereby generating modified data; and generate an image using the modified data.