A downloadable navigator for a mobile ultrasound unit having an ultrasound probe, implemented on a portable computing device. The navigator includes a trained orientation neural network to receive a non-canonical image of a body part from the mobile ultrasound unit and to generate a transformation associated with the non-canonical image, the transformation transforming from a position and rotation associated with a canonical image to a position and rotation associated with the non-canonical image; and a result converter to convert the transformation into orientation instructions for a user of the probe and to provide and display the orientation instructions to the user to change the position and rotation of the probe.

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 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 object of the invention is to provide an ultrasonic probe, an ultrasonic diagnostic device, and a manufacturing method of the ultrasonic probe, which are capable of reducing a product defect rate. An ultrasonic probe according to one embodiment includes a plurality of channels. Each of the plurality of channels includes a vibrator that outputs an ultrasonic wave, and a transmission circuit unit that changes an output in response to an input transmission signal and causes the vibrator to output the ultrasonic wave by driving the vibrator with the output. Here, the transmission circuit unit includes a stop signal holding circuit that holds a stop signal when the stop signal is input in advance, and selects whether to change the output in response to the transmission signal based on whether the stop signal is held.

Ultrasound devices are disclosed. The ultrasound devices have an elevational dimension. Different percentages of the aperture of the ultrasound device corresponding to different percentages of the elevational dimension are utilized in different applications. The resolution of imagine may be adjusted in connection with usage of different percentages of the aperture.

Disclosed is an ultrasound imaging system that includes a remote server configured for communication with a first ultrasound imaging console and a second ultrasound imaging console. The server is configured to receive, from the first ultrasound imaging console, an upload request for a custom image setting, receive and store the custom image setting. The server is further configured to output, to the second ultrasound imaging console, data representative of the custom image setting; receive a request for the custom image setting; retrieve and send, to the second ultrasound imaging console, the custom image setting such that the second ultrasound imaging console can generate an image with the custom image setting.

Embodiments of the present disclosure relate to techniques for neuromodulation delivery. Based on image data acquired from the subject, control parameters controlling energy application of neuromodulating energy may be dynamically changed during the course of the delivery to maintain desired characteristics of the neuromodulating energy. For example, the beam of the neuromodulating energy may be dynamically adjusted to account for movement of an organ during breathing. In another embodiment, a desired region of interest is identified within the subject based on a trained neural network and the acquired image data.

An ultrasound observation apparatus includes: a B-mode image generation unit; a region selection information input unit; a region-of-interest setting unit configured to set a region of interest of an ultrasound image to be subjected to processing suitable for an operation mode selected, in accordance with the input, from a plurality of operation modes for detecting a selected one of a plurality of pieces of characteristic biological information, by calculation using a region-of-interest setting method previously associated with the operation mode, based on a desired region selected in the region selection information; and a mode image composition unit configured to generate a mode composite image in which an operation mode image presented in two dimensions additional information obtained by performing processing suitable for the operation mode selected in accordance with the input on the region of interest is superimposed on a B-mode image generated by the B-mode image generation unit.

Provided is an ultrasound imaging apparatus capable of reducing examination time with optimizing parameters on an examination basis. A subject is irradiated with an ultrasound wave, and a plurality of ultrasound transducers receives the ultrasound wave from the subject to obtain received signals. A feature value is calculated from the received signals, the feature value indicating a frequency-dependent characteristic of attenuation of the ultrasound wave, associated with propagation of the ultrasound wave through the subject. A predetermined processing is performed on the received signals using one or more received-signal processing parameters to generate an image. An image processing is performed on the generated image using one or more image processing parameters. Values of the received-signal processing parameter and the image processing parameter are determined based on the feature value.

A control device of a mammography apparatus includes an acquisition unit that acquires a radiographic image as radiography information in a case in which the radiographic image of the breast is captured and a generation condition setting unit that sets generation conditions in a case in which an ultrasound image of the breast is generated, on the basis of the radiographic image acquired by the acquisition unit. The generation condition setting unit analyzes the radiographic image to detect the amount of mammary glands in the breast and sets, as the generation conditions, an amplification factor of an ultrasound image signal and a dynamic range which is a width of a grayscale value of the ultrasound image assigned to a value of the ultrasound image signal, according to the detected amount of mammary glands.