A method for performing shear wave elastography imaging of an observation field in a medium, the method comprising a plurality of shear wave imaging steps (30) to acquire a plurality of sets of shear wave propagation parameters, the method further comprising a reliability indicator determining step (40) during which a reliability indicator of the shear wave elastography imaging of the observation field is determined.

Systems and methods are provided for the denoising of images in the presence of broadband noise based on the detection and/or estimation of in-band noise. According to various example embodiments, an estimate of broadband noise that lies within the imaging band is made by detecting or characterizing the out-of-band noise that lies outside of the imaging band. This estimated in-band noise may be employed for denoise the detected imaging waveform. According to other example embodiments, a reference receive circuit that is sensitive to noise within the imaging band, but is isolated from the imaging energy, may be employed to detect and/or characterize the noise within the imaging band. The estimated reference noise may be employed to denoise the detected in-band imaging waveform.

Periodic displacement occurs in body tissue due to heartbeat. A peak level D of the movement distance of the body tissue is detected (Step 21), and a heartbeat cycle T is calculated from a frequency spectrum (Steps 22 and 23). By dividing twice the peak level D by the heartbeat cycle T, the moving velocity of the body tissue in a unit heartbeat cycle is calculated (Step 24). By dividing the moving velocity by a frame rate r, an average movement distance of the body tissue between frames is calculated (Step 25). In a case where the average movement distance is smaller than a predetermined threshold value, a time interval between the frames used for the calculation of the movement distance is extended (being Step 26 NO, Step 27).

A computer-implemented method is provided for improving live video quality. The method comprises: (a) acquiring, using a medical imaging apparatus, a stream of consecutive image frames of a subject; (b) feeding the stream of consecutive image frames to a first set of denoising components, wherein each of the first set of denoising components is configured to denoise an image frame from the stream of consecutive image frames in a spatial domain to output an intermediate image frame; (c) feeding a plurality of the intermediate image frames to a second denoising component, wherein the second denoising component is configured to (i) denoise the plurality of the intermediate image frames in a temporal domain and (ii) generate a weight map; and outputting a final image frame with improved quality in both temporal domain and spatial domain based at least in part on the weight map.

The present invention refers to the field of cardiac electrophysiology (EP) and, more specifically, to image-guided radio frequency ablation and pacemaker placement procedures. For those procedures, it is proposed to display the overlaid 2D navigation motions of an interventional tool intraoperatively obtained from the same projection angle for tracking navigation motions of an interventional tool during an image-guided intervention procedure while being navigated through a patient's bifurcated coronary vessel or cardiac chambers anatomy in order to guide e.g. a cardiovascular catheter to a target structure or lesion in a cardiac vessel segment of the patient's coronary venous tree or to a region of interest within the myocard. In such a way, a dynamically enriched 2D reconstruction of the patient's anatomy is obtained while moving the interventional instrument. By applying a cardiac and/or respiratory gating technique, it can be provided that the 2D live images are acquired during the same phases of the patient's cardiac and/or respiratory cycles. Compared to prior-art solutions which are based on a registration and fusion of image data independently acquired by two distinct imaging modalities, the accuracy of the two-dimensionally reconstructed anatomy is significantly enhanced.

For clutter reduction in ultrasound elasticity imaging, the contribution of clutter to different frequency components (e.g., the transmit fundamental and the propagation generated second harmonic) is different. As a result, a difference in displacements determined at the different frequency bands is used to reduce clutter contribution to displacements used for elasticity imaging.

Ultrasound imaging systems for automatically identifying and saving ultrasound images relevant to a needle injection procedure, and associated systems and methods, are described herein. For example, an ultrasound imaging system includes a transducer for transmitting/receiving ultrasound signals during a needle injection procedure, and receive circuitry configured to convert the received ultrasound signals into ultrasound image data. The image data can be stored in a buffer memory. A processor can analyze the image data stored in the buffer memory to identify image data that depicts a specified injection event of the needle injection procedure, and the identified image data can be stored in a memory for archival purposes.

A method that includes transmitting coded waveforms simultaneously on multiple elements for several frames, constructing a first multi-input, single output (MISO) system from the codes to model transmit-receive paths, solving system and RF data observation by linear model theory, giving an IR set for the medium, and applying the estimates to a secondary MISO system, constructed by analogy to the first, but with pulses convenient for beamforming in the form of a focused set of single-cycle pulses for ideal focused reconstruction.

An ultrasound imaging system is for determining stroke volume and/or cardiac output. The imaging system may include a transducer unit for acquiring ultrasound data of a heart of a subject (or an input for receiving the acquired ultrasound data), and a controller. The controller is adapted to implement a two-step procedure, the first step being an initial assessment step, and the second being an imaging step having two possible modes depending upon the outcome of the assessment. In the initial assessment procedure, it is determined whether regurgitant ventricular flow is present. This is performed using Doppler processing techniques applied to an initial ultrasound data set. If regurgitant flow does not exist, stroke volume is determined using segmentation of 3D ultrasound image data to identify and measure the volume of the left or right ventricle at each of end systole and end-diastole, the difference between them giving a measure of stroke volume. If regurgitant flow does exist, stroke volume is determined using Doppler techniques applied to ultrasound data continuously collected throughout a cardiac cycle.

Provided are a method of displaying a Doppler image and an ultrasound diagnosis apparatus for performing the method. The method includes: obtaining a first Doppler signal where clutter filtering corresponding to each of a plurality of pixels is not performed and a second Doppler signal where clutter filtering corresponding to each of the plurality of pixels is performed; determining a first motion score indicating a degree of flash artifact occurrence by using velocity information of the first Doppler signal; determining a first weight for suppressing flash artifacts of each pixel based on the first motion score and a velocity difference value between the first Doppler signal and the second Doppler signal; generating a first Doppler image of the object by applying the first weight to the second Doppler signal of each pixel; and displaying the first Doppler image of the object.