Systems and methods for ultrafast imaging include: a memory having stored thereon a delay profile matrix and a field programmable gate array (FPGA) coupled with the memory. The delay profile matrix comprises a two-dimensional matrix in which each row corresponds to a delay profile at a particular depth. The FPGA is configured to: acquire radio frequency (RF) ultrasound data from a subject; load a delay profile from the delay profile matrix to a memory buffer of the FPGA, wherein the delay profile corresponds to a particular depth; read a first row of the RF ultrasound data based on a first delay value of the delay profile; generate beamformed data at the particular depth by beamforming the first row of RF ultrasound data; and generate an image of the subject based on the beamformed data.

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.

An ECG system acquires ECG signals for the production of ECG lead data which is analyzed for ST elevation characteristics. The ST elevation information is further analyzed to identify a coronary artery or region of the myocardium which may be affected by an obstruction or occlusion. The identity of an obstructed coronary artery or affected myocardium is related to a spatial location in an ultrasound image of the heart to target an ultrasound probe at the coronary artery or myocardial region which may be obstructed or affected by an obstruction. Sonoreperfusion is then performed at the coronary artery or myocardial region targeted by the ultrasound probe.

An ultrasonic diagnostic imaging system is described by which a first sequence of ultrasound images of an organ such as the heart is acquired at a first image acquisition rate. The first sequence preferably images a larger volume or area in which a region of interest is located. Then a second sequence of three-dimensional ultrasound images of a sub-volume covering a part of anatomy of interest in the first sequence is acquired at a second image acquisition rate which is greater than the first acquisition rate. A third sequence of three-dimensional ultrasound images of a reference sub-volume is acquired at the second image rate. The second and third sequences of three-dimensional images are compared, enabling a clinician to focus on synchronism defects in the anatomy of interest with more precision and with a faster acquisition time.

In accordance with an aspect of the disclosure, there is provided a processing method. The processing method may be suitable for facilitating synchronization between an active device and a passive device, in accordance with an embodiment of the disclosure. The processing method may, for example, include a coarse synchronization step and a fine synchronization step, in accordance with an embodiment of the disclosure. The coarse synchronization step may, for example, include performing a first set of processing tasks to perform the tasks of communicating light from the active device toward a target and initiating capturing of light reflected from the target by the passive device. The fine synchronization step may, for example, include performing a second set of processing tasks to perform the task of matching as between the active device and the passive device in a manner so as to determine at least one fine-tuning factor.

The present disclosure describes medical imaging systems and methods configured to generate medical images based on undersampled imaging data. The 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.

An ultrasonic diagnostic apparatus according to an embodiment includes an acquiring unit and a detecting unit. The acquiring unit acquires fluid volume data representing fluid information related to a fluid flowing through a scan region that is a region three-dimensionally scanned by ultrasonic. The detecting unit detects a region that is a fluid existing region in the scanned region using the fluid information, and detects an inner cavity region of a lumen in volume data to be applied with image processing using the region thus detected.

The disclosed technology relates to imaging catheters. A method is provided that includes: receiving, from a plurality of transducers disposed on a catheter probe, a corresponding plurality of analog signals; selectively sampling the plurality of analog signals; multiplexing to produce a sequence of samples; and transmitting the sequence of samples to a receiver circuit. The receiver circuit includes a clock; an analog to digital converter (ADC) in communication with the clock; and a sampling phase correction circuit in communication with the clock and the ADC. The method further includes: determining optimum sampling times based on measured signal delays associated with the system; adjusting a phase of the clock based on the measured signal delays; and communicating the phase-adjusted clock to the transmitter circuit for the selective sampling of the analog signals. Certain embodiments of the disclosed technology may further be utilized in conjunction with beamforming.

An ultrasound diagnostic apparatus that transmits an ultrasound beam using an ultrasound probe including transducers and generates acoustic line signal subframe data, includes: a transmitter that causes transmission transducer arrays to transmit the ultrasound beam; a receiver that generates a reception signal sequence; and a delay-and-sum part that performs delay-and-sum operation, wherein the receiver includes part receivers, the delay-and-sum part includes: part delay-and-sum parts that perform delay-and-sum to generate an acoustic line signal so as to generate acoustic line signal partial subframe data; part folding parts that extract an acoustic line signal sequence and arrange the acoustic line signals to generate acoustic line signal partial subframe folded data; a main summing part that sums the acoustic line signal partial subframe folded data to generate acoustic line signal subframe folded data; and a re-sequence part that re-sequences the acoustic line signals to generate the acoustic line signal subframe data.

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 in accordance with a first preset acquisition setting, 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; generate a first set of beamformed data by applying a predictive network to the ultrasound channel data, wherein the first set of beamformed data is associated with a second preset acquisition setting different than the first preset acquisition setting; generate an image of the anatomy from the first set of beamformed data; and output, to a display in communication with the processor circuit, the image of the anatomy.