Abstract:
Provided is an ultrasound diagnostic apparatus including: an ultrasound probe that transmits and receives ultrasound to and from a subject; a display; and at least one hardware processor. The at least one hardware processor generates ultrasound image data based on a reception signal obtained from an observation area, estimates a measurement item candidate that is measurable or unmeasurable, and causes the display to display the measurement item candidate.
Abstract:
An ultrasound diagnostic device including a transmitter, a first image processor, a second image processor, and an image synthesizer. The transmitter alternates between first transmission events that include transmission of first detection waves and second transmission events that include transmission of second detection waves. The first image processor generates frames of first images based on reception signals corresponding to a plurality of the first transmission events. The second image processor generates frames of second images based on reception signals corresponding to the second transmission events. The image synthesizer superimposes the second images on the first images to generate synthesized images. Frame rate of the second images is higher than that of the first images. The transmitter performs a third transmission event prior to the second transmission events that includes transmission of a plurality of the first detection waves to acquire reception signals corresponding to one frame of the first images.
Abstract:
An ultrasound diagnostic apparatus includes a transmitter, a receiver and a hardware processor. The transmitter outputs a drive signal for a C-mode image to an ultrasound probe. The receiver obtains a reception signal from the probe. The processor sets at least one mask in a frame of packet data of the reception signal; calculates a covariance matrix from a plurality of packet data included in the mask; calculates an eigenvector for the mask from the covariance matrix; calculates a first filter coefficient for the packet data by using the eigenvector and a gain matrix; performs interpolation on the first filter coefficient to calculate a second filter coefficient for packet data of each position in the frame; filters the packet data of the position by using the second filter coefficient; and generates C-mode image data from the filtered packet data.
Abstract:
An ultrasound diagnosis apparatus generating an ultrasound image of inside of a test object based on ultrasound signals reflected and received from the inside of the test object includes: a candidate region extracting unit which extracts a plurality of candidate detection regions in a needle position range corresponding to a position of a puncture needle inserted into the test object; a needle identification range setting unit which determines a needle identification range including the needle position range from the ultrasound image based on the extracted candidate detection regions; a needle position range estimating unit which determines an estimated range of the needle position range in the needle identification range based on a value indicating an aggregation state related to a distribution of the candidate detection regions in the needle identification range; and a needle emphasizing unit which performs a process for emphasizing the estimated range in the ultrasound image.
Abstract:
A signal processing device which uses a first signal waveform of ultrasound reflected from an object in a first compressed state and a second signal waveform of ultrasound reflected from the object in a second compressed state and calculates an elasticity of the object affected by a change in a compressed state includes: a phase difference calculation unit which calculates a phase difference component in each time between the first signal waveform and the second signal waveform; a correlation calculation unit which calculates an elasticity pertaining to a difference in angular frequencies between the first signal waveform and the second signal waveform and an initial phase difference according to a correlation between the each time and the phase difference component in the each time; and an elasticity calculation unit which calculates the elasticity on the basis of the difference in angular frequencies.
Abstract:
Provided is a learning data set generation device of the present disclosure, which causes a computer to execute: acquiring second medical imaging data generated by predetermined image conversion processing on first medical imaging data; and generating a pair of the second medical imaging data and a first ground truth label, which is a ground truth label for the first medical imaging data, as a learning data set.
Abstract:
An image diagnostic technique using a machine learning model is disclosed. An aspect of the present disclosure relates to a machine learning model trained by using training data that includes first ultrasound image data based on a reception signal received by an ultrasound probe; first ground truth data that is first region information associated with a detection target of the first ultrasound image data; and second ground truth data that is first position information associated with the detection target of the first ultrasound image data or that is second region information based on the first position information.
Abstract:
Ultrasound diagnostic apparatus that receives a reception signal representing the reflection waves from ultrasound probe, includes position specifying section that specifies the depth of detection object inside the subject based on the temporal variation of the reception signal, and position specifying section that specifies the position of detection object in the first direction based on the reception signal generated based on the reflection waves from detection object obtained with the ultrasound beams transmitted at a first angle and a second angle which are different from each other in a transmission direction of the ultrasound beam.
Abstract:
An ultrasound image processing method including: calculating motion amounts of pixel regions in one frame receive signal, based on receive signal units corresponding to identical pixel regions included in at least two frame receive signals; calculating cumulative motion amounts, each corresponding to a target pixel region in the one frame receive signal, by cumulating motion amounts corresponding to pixel regions in the one frame receive signal located substantially along a direction of transmission of the ultrasound beam from a pixel region located at an upstream end of an ultrasound beam to the target pixel region; calculating enhancement amounts for receive signal units corresponding to the pixel regions included in the one frame receive signal, the enhancement amounts being based on the motion amounts and the cumulative motion amounts; and enhancing the receive signal units based on the enhancement amounts.
Abstract:
An ultrasonic diagnostic apparatus includes: a transmitter/receiver that causes an ultrasonic probe to transmit and receive an ultrasonic beam; a signal processor that generates an ultrasonic image on a basis of a reception signal acquired from the ultrasonic probe; a target identifier that performs segmentation processing based on a structure type on the ultrasonic image to generate a likelihood image indicating an existence region of a target in the ultrasonic image; and a likelihood image synthesizer that synthesizes the likelihood images of a plurality of the ultrasonic images generated by ultrasonic scanning using the ultrasonic beams having steer angles different from each other to generate a space compound likelihood image.