Abstract: A system for use with ultrasound transducers on a catheter and connected to different respective channels includes circuitry and a processor. The circuitry is configured to receive a signal, which includes transduction of ultrasound reflections, over any given one of the channels, and to receive respective noise-signals, which include less transduction of ultrasound reflections than the signal, over a group of others of the channels. The processor is configured to receive the signal and the noise-signals from the circuitry, and to reduce noise in the signal, by, based on the noise-signals, computing, for the given channel, one or more noise-estimation functions, each of which is applicable to a respective subset of the noise-signals so as to return an estimate of noise received over the given channel while the subset of the noise-signals were received, using the noise-estimation functions, computing an estimated-noise signal, and subtracting the estimated-noise signal from the signal.

Abstract: There is provided an ultrasound device comprising: ultrasound transducer(s), memory storing code, hardware processor(s) coupled to the ultrasound transducer(s) and the memory for executing stored code comprising: activating the transducer(s) for simultaneously transmitting at least one line with a predefined focus width, and receiving an indication of a plurality of narrow-focused received lines, inputting the indication of the narrow-focused received lines into a convolutional neural network (CNN) trained on pairs of ultrasound imaging data capturing rapid motion of the certain tissue of sample patient(s), including a single-line ultrasound imaging data captured based on a single line in response to a transmitted single narrow-focused pulse, and a multiple-line ultrasound imaging data captured based on receiving narrow-focused lines in response to simultaneously transmitted at least one line, outputting adjusted narrow-focused received lines, and computing an adjusted ultrasound image according to the adjust

Abstract: There is provided an ultrasound device comprising: ultrasound transducer(s), memory storing code, hardware processor(s) coupled to the ultrasound transducer(s) and the memory for executing stored code comprising: activating the transducer(s) for simultaneously transmitting at least one line with a predefined focus width, and receiving an indication of a plurality of narrow-focused received lines, inputting the indication of the narrow-focused received lines into a convolutional neural network (CNN) trained on pairs of ultrasound imaging data capturing rapid motion of the certain tissue of sample patient(s), including a single-line ultrasound imaging data captured based on a single line in response to a transmitted single narrow-focused pulse, and a multiple-line ultrasound imaging data captured based on receiving narrow-focused lines in response to simultaneously transmitted at least one line, outputting adjusted narrow-focused received lines, and computing an adjusted ultrasound image according to the adjust