An ultrasound transducer unit including a plurality of ultrasound transducers transmits and receives ultrasound waves to and from an inside of a subject. In a case where a checking operation unit is operated, a controller controls a driving voltage supply unit such that a driving voltage is supplied with all of the plurality of ultrasound transducers as driving target transducers. In a case where the checking operation unit is operated, a depolarization determination unit calculates, for each ultrasound transducer, a reception sensitivity in a case where an ultrasound wave is received by driving all of the plurality of ultrasound transducers as the driving target transducers, and determines whether or not a depolarization determination value calculated from the reception sensitivity of each ultrasound transducer satisfies numerical conditions. If the numerical conditions are satisfied, a polarization voltage supply unit supplies a polarization voltage to each of the plurality of ultrasound transducers.

An ultrasound diagnosis apparatus includes: a hardware processor which performs control of causing a display to display an ultrasound image subjected to attenuation correction, based on a received signal and setting of the attenuation correction, the attenuation correction correcting strength of the received signal lowered due to attenuation of ultrasound waves inside a subject based on a correction amount according to a reflection depth of the ultrasound waves inside the subject; and an input receiver which receives an input operation that designates an adjustment amount, wherein the hardware processor changes the setting of the attenuation correction based on the adjustment amount, and in the changing the setting of the attenuation correction, sets the correction amount, for each of different reflection depths, to an amount according to a product of the adjustment amount and a predetermined weighting factor, the predetermined weighting factor being set correspondingly to each of the reflection depths.

An ultrasound system includes a transducer array having three or more rows of transducer elements extending in the azimuth dimension and located adjacent to each other in the elevation dimension. The rows have different mechanical foci in the elevation dimension, with an inner row elevationally focused in the near field and outer rows elevationally focused in the far field. When the user is imaging a subject in the near field, the system beamformer transmits with the inner row with a near field elevation focus. When imaging in the far field a plurality of rows elevationally focused in the far field are used for transmission. When the user is imaging in the mid-range, the beamformer uses both the inner row and the plurality of outer rows to provide an extended mid-range elevation focus.

A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes assigning, with a neural network implemented at least partially in hardware of the computing device, one of a vein classification and an artery classification to one or more blood vessels in ultrasound images. The method also includes determining a misclassification for one blood vessel that denotes the neural network assigning the one of the vein classification and the artery classification to the one blood vessel in one ultrasound image and the other of the vein classification and the artery classification to the one blood vessel in additional ultrasound images. The method includes displaying, in the one ultrasound image, an indication of the other of the vein classification and the artery classification for the one blood vessel.

A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes receiving an ultrasound image that includes one or more blood vessels, and determining, with a neural network implemented at least partially in hardware of the computing device, diameters of the one or more blood vessels in the ultrasound image. The method includes receiving a user selection of an instrument size, and indicating, in the ultrasound image, at least one blood vessel of the one or more blood vessels based on the instrument size and the diameters of the one or more blood vessels.

In an ultrasound diagnostic system, in a case where a routine test in which a plurality of parts of a subject are sequentially subjected to ultrasound diagnosis in accordance with a determined procedure is performed and in a case where information on the subject is input from an input unit, a workstation-side control unit makes a workstation-side display unit perform a second display in which one past image and a current image including an ultrasound image newly created in an ultrasound diagnostic device with respect to a part corresponding to the one past image are displayed side by side on a past image region and a current image region adjacent to each other, in an arrangement order of a plurality of past images in a past routine test of the subject stored in the storage unit.

A control device acquires a plurality of images including an ultrasound image and a photoacoustic image taken in an examination, selects a first image and a second image to be displayed superimposed on the first image, based on information relating to the examination, and generates an object for outputting at least information for displaying the second image superimposed on the first image to an external device.

Disclosed is an ultrasonic diagnostic apparatus including an improved actuator to compensate for a weight of an input/output device. The ultrasonic diagnostic apparatus includes a main body, an input/output device coupled to the main body and configured to receive information from a user or output information received from the main body, and a connection device to connect the main body and the input/output device, wherein the connection device includes a shaft having a shaft body, a link frame having a frame body and a shaft coupling portion extending from the frame body to be coupled with the shaft, and an actuator including a torsion spring having a first end supported by the shaft and a second end supported by the link frame, so as to compensate for a weight of the input/output device.

Disclosed are 3D/4D contrast-enhanced ultrasound imaging (CEUS) apparatus, 3D/4D CEUS imaging methods and media. The method comprises: receiving an input for selecting a 3D/4D contrast-enhanced imaging mode; receiving an input for setting an imaging velocity including a first imaging velocity and a higher second imaging velocity; controlling the apparatus with an imaging parameter associated with the selected imaging mode and the set imaging velocity to achieve imaging with the selected imaging mode in the set imaging velocity, wherein an association between the imaging parameter and the imaging velocity allows that an amount of data required to generate images per volume using the first imaging velocity is greater than that using the second imaging velocity. In this way, a desired imaging mode and imaging velocity can be chosen freely and an imaging parameter can be selected pointedly, meeting real-time observation needed by doctors with limited data processing capability and various probes.

Disclosed are methods and apparatus for viewing a contrast-enhanced ultrasound image and a dynamic data. The method comprises: receiving a first operation, for setting a first viewing range by a first browsing step length that is multiple frames; in response to the first operation, positioning the image data to a viewing neighborhood containing the first viewing range; receiving a second operation, on the view neighborhood by a second browsing step length that is a single frame; in response to the second operation, determining a current image frame corresponding to when the second operation is performed in the viewing neighborhood, and further positioning the image data to an adjacent frame of the current image frame to the user to view frame by frame. As such, doctors are helped to accurately locate desired image frames to significantly improve browsing efficiency with convenient operation and high user-friendliness to save time and reduce workload.