A two-dimensional array ultrasound probe, which is enabled for ultrasonic reception operation of a continuous wave Doppler mode (C mode) and an imaging mode (B mode). The probe includes a reception circuit provided for each transducer and a first multiplexer; a plurality of first wires connected to the first multiplexer; a second wire connected to a plurality of first wires outside the array; switches that are provided to the second wire and that can be turned off to adapt to phasing addition units; a plurality of second multiplexers connected to the second wire and a plurality of first output ports for the first mode; and a plurality of second output ports that are connected to each region between the switches on the second wire and that are used in the second mode.

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.

Systems and methods are disclosed for remotely controlling a main processing console of an ultrasound system. In various embodiments, an ultrasound remote controller can be used to remotely control a main processing console of an ultrasound system. The ultrasound remote controller can include a user interface controller configured to provide one or more ultrasound control functions to a user remote from the main processing console. The control functions can be used to remotely control operation of the main console. Further, the user interface controller can be configured to receive input for the one or more ultrasound control functions from the user. The ultrasound remote controller can include a communication interface configured to transmit operational instructions to the main processing console for remotely controlling the operation of the main processing console through the ultrasound remote controller based on the user input for the one or more ultrasound control functions.

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.

Methods include capturing intravascular ultrasound images. A drive motor is used to actively drive an ultrasound transducer at a set rotation speed. A temporary sensing window is created in which the ultrasound transducer is driven with a fixed drive signal. A plurality of signals from are received the ultrasound transducer during the temporary sensing window.

An ultrasonic diagnostic apparatus according to an embodiment includes transmission circuitry, receiving circuitry and extracting circuitry. The transmission circuitry cause an ultrasonic probe to perform three or more times of ultrasonic wave transmissions, an ultrasonic wave to be transmitted including a center frequency component, a phase of the center frequency component being different in each transmission. The receiving circuitry generates three or more reception signals corresponding to a common reception scanning line based on a plurality of reflected wave signals, the plurality of reflected wave signals being obtained through the three or more times of ultrasonic wave transmissions. The extracting circuitry extracts a nonlinear component included in the three or more reception signals by adding up the three or more reception signals after performing a processing including phase rotation processing on two or more reception signals among the three or more reception signals.

An ultrasound imaging apparatus and a control method thereof. The ultrasound imaging apparatus may include: a display; a communication unit; and a processor configured to be operatively connected to the display and the communication unit. The processor may obtain a first ultrasound image of a subject and a result of an analysis of the first ultrasound image. The processor may also control the display to display a user interface, which allows selection of an operating mode of the ultrasound imaging apparatus, based on the result of the analysis.

A system includes an ultrasound probe comprising an ultrasound transducer, a first motor configured to rotate the ultrasound transducer around a horizontal axis to scan a plane, and a second motor configured to rotate the ultrasound transducer around a vertical axis to move to a different plane. The system further includes a controller unit configured to select a number of scan planes for an interlacing scan to scan a volume of an area of interest in a patient's body using the ultrasound probe; select an interlacing factor for the interlacing scan; divide the scan planes into groups of scan planes based on the interlacing factor; and perform the interlacing scan by controlling the first motor and the second motor, wherein the first motor moves in a first direction for at least some of the scan planes and in a second direction for other ones of the scan planes.

A method for optimizing an ultrasonic imaging system parameter based on deep learning, comprising the following steps: step 1: collecting samples for training neural networks, the samples comprising ultrasound image samples i, and a corresponding ultrasonic imaging system parameter vector sample p used by an ultrasonic imaging system when the ultrasonic image samples are collected; step 2: establishing a neural network model and training the neural networks to convergence by using the samples collected=in step 1, so as to obtain a trained neural network system onn; and step 3: taking the original ultrasonic imaging system parameter vector p or the original ultrasonic image as an input to be input into the neural network system onn trained in step 2, at this moment, a parameter obtained from an output end of onn being an optimized ultrasonic imaging system parameter vector ep=onn(p). By means of the method, the purpose of improving the ultrasonic image quality is realized by optimizing the ultrasonic imaging system parameter.

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.