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.

The present disclosure discloses an ultrasonic imaging method. The ultrasonic imaging method may include: obtaining emitting instructions for emitting a plurality of ultrasonic waves, gaining instructions, receiving instructions, and idle instructions relating to the plurality of ultrasonic waves, and storing the emitting instructions, the receiving instructions, the gaining instructions, and the idle instructions in a ring buffer; obtaining the emitting instructions from the ring buffer, and emitting the plurality of ultrasonic waves based on the emitting instructions; obtaining a gaining instruction and a receiving instruction corresponding to each emission of the plurality of ultrasonic waves from the ring buffer, and obtaining at least one enhanced echo signal based on the gaining instructions and the receiving instructions; and obtaining the idle instructions from the ring buffer, and processing the at least one enhanced echo signal based on the idle instructions to obtain a target ultrasonic image.

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.

A method of guiding performance of an ultrasound imaging procedure, comprising: detecting at least a position of an ultrasound probe; determining a position of an imaging region of the ultrasound probe relative to a target based on the at least detected position of the ultrasound probe; displaying a figure representative of an imaging region together with a reference image associated with the target wherein the appearance of at least part of the figure is dependent on at least the determined position of the imaging region relative to the target; and updating the appearance of at least part of the figure as the ultrasound probe moves relative to the target.

Systems and methods for positioning and orienting an ultrasound probe include receiving a dataset derived from the ultrasound probe, wherein the dataset comprises at least one dataset obtained during a pulsed Doppler mode operation of the probe; analyzing the dataset to identify a current position and orientation of the probe relative to a target position and orientation, wherein the target position and orientation align the probe to correctly acquire a selected view of a body part; and conveying the current position and orientation of the probe relative to the target position and orientation.

A distributed patient monitoring system comprises at least one standalone portable ultrasound imaging unit configured to be fixed to a stable position against the skin on a patient's body and capable of prolonged ultrasound data acquisition, including an ultrasound imaging array, transmit-receive circuitry, a beamformer, backend signal and image processing subsystem, power and communication subsystems, and a monitoring workstation connected to each standalone portable ultrasound imaging unit configured to request and receive ultrasound imaging information from each standalone portable ultrasound imaging unit, and configured to analyze and display acquired ultrasound information.

Disclosed in the application is a handheld three-dimensional ultrasound imaging system and method, comprising a handheld ultrasound probe, used for scanning and obtaining an ultrasound image; a display, control and processing terminal, connected to the handheld ultrasound probe wiredly or wirelessly. The handheld ultrasound imaging system and method of the application further comprises: a handheld three-dimensional spatial positioning system, connected to the handheld ultrasound probe, moving with the movement of the handheld ultrasound probe, connected to the display, control and processing terminal wiredly or wirelessly, and used for independently positioning the three-dimensional position of the handheld ultrasound probe. By means of the handheld three-dimensional ultrasound imaging system and method of the present application, the large spatial positioning system in an existing three-dimensional ultrasound imaging system is changed into a portable spatial positioning system that can be used at any time, so that handheld three-dimensional ultrasound imaging can be widely applied.

Aspects of the technology described herein relate to instructing an operator to move an ultrasound device along a predetermined path relative to an anatomical area in order to collect first ultrasound data and second ultrasound data, the first ultrasound data capable of being transformed into an ultrasound image of a target anatomical view, and the second ultrasound data not capable of being transformed into the ultrasound image of the target anatomical view.

Systems and methods for reconstructing high resolution versions of low resolution cine sequence images are provided. The method includes acquiring a low resolution cine sequence, receiving a user input stopping the acquisition of the cine sequence, and initiating acquisition of a high resolution image. The method includes iteratively reconstructing a high resolution version of each of the low resolution images in the cine sequence in reverse, beginning with a last acquired low resolution image and ending with a first acquired low resolution image. The high resolution version of the last acquired low resolution image is reconstructed based on the last acquired low resolution image and the high resolution image. The high resolution version of each of the low resolution images prior to the last acquired low resolution image is iteratively reconstructed based on a respective low resolution image and the high resolution version of a subsequently acquired low resolution image.

Embodiments of the present disclosure provide a flow imaging processing method, which may include determining flow imaging parameters, where the flow imaging parameters include a sound speed for calculation, a center frequency of the transmitting pulse for exciting a probe and a imaging depth; obtaining a velocity measurement range; and determining the first target number of the different transmit angles according to the sound speed for calculation, the center frequency of the transmitting pulse, the imaging depth and the velocity measurement range. The embodiments of the present disclosure also provide an ultrasound imaging device.