This paper presents a new methodology to retrieve slantrange velocity estimates for moving targets with speeds inducing Doppler-shifts beyond the Nyquist limit imposed by the Pulse Repetition Frequency (PRF ). The proposed approach exploits the linear dependency of the Dopplershift with the slant-range velocity for each fast-time frequency. Therefore, the echo from a moving target in the twodim...

Visualization of a \ eld", which is a physically invisible concept, is a main subject of scienti c visualization. In this paper described is a method for visualizing a great gravitational eld like a black hole. We assume a velocity vector eld of imaginary uid in the vicinity of the black hole for its e ective visualization. We describe the eld by using equations so called \Eulerian method". Thi...

Conventional ultrasound (US) methods for blood velocity estimation only provide one-dimensional and angle-dependent velocity estimates; thus, the complexity of cardiac flow has been difficult to measure. To circumvent these limitations, the Transverse Oscillation (TO) vector flow method has been proposed. The vector flow method implemented on a commercial scanner provided real-time, angle-indep...

Ultrasonic colour Doppler is an imaging technique that combines anatomical information derived using ultrasonic pulse-echo techniques with velocity information derived using ultrasonic Doppler techniques to generate colour-coded maps of tissue velocity superimposed on grey-scale images of tissue anatomy. The most common use of the technique is to image the movement of blood through the heart, a...

We present a new method for reconstructing a 3D vector field from multiple 3D Pulsed Wave Doppler echo images. A weakness of Doppler imaging is that only a 1D projection of the true 3D velocity (the component of the velocity parallel to the echo beam direction) is measured. We propose a method to use registered multiple Doppler views to calculate 3D flow vectors using a Least Mean Squares (LMS)...

The limiting velocity in open channels to prevent long-term sedimentation is predicted in this paper using a powerful soft computing technique known as Extreme Learning Machines (ELM). The ELM is a single Layer Feed-forward Neural Network (SLFNN) with a high level of training speed. The dimensionless parameter of limiting velocity which is known as the densimetric Froude number (Fr) is predicte...

background two-dimensional (2d) strain is a new reproducible technique for assessing regional myocardial function; however, its application for evaluation of left atrium (la) function is less studied. objectives we sought to assess la function in heart failure patients using velocity vector imaging (vvi). patients and methods thirty five patients (mean age: 43.34 ± 18.1 years, 59.3% male) with ...