Compressive sensing (CS) theory makes it possible–under certain assumptions–to recover
a signal or an image sampled below the Nyquist sampling limit. In medical ultrasound …

In this paper we present a compressed sensing (CS) method adapted to 3D ultrasound
imaging (US). In contrast to previous work, we propose a new approach based on the use of …

Ultrasound imaging is a wide spread technique used in medical imaging as well as in non-
destructive testing. The technique offers many advantages such as real-time imaging, good …

Compressed sensing or compressive sampling is a recent theory that originated in the
applied mathematics field. It suggests a robust way to sample signals or images below the …

Compressive sensing (CS) offers compression of data below the Nyquist rate, making it an
attractive solution in the field of medical imaging, and has been extensively used for …

One of the fundamental theorem in information theory is the so-called sampling theorem
also known as Shannon-Nyquist theorem. This theorem aims at giving the minimal …

Ultrafast imaging based on plane-wave (PW) insonification is an active area of research due
to its capability of reaching high frame rates. Among PW imaging methods, Fourier-based …

The theory of compressed sensing (CS) leverages upon structure of signals in order to
reduce the number of samples needed to reconstruct a signal, compared to the Nyquist rate …

We propose a concept for fast image acquisition in diagnostic ultrasound imaging using
compressed sensing (CS). Our concept is based on the formulation of an inverse scattering …

Upcoming phased-array 2-D sensors will soon enable fast high-definition 3-D ultrasound
imaging. Currently, the communication of raw radio-frequency (RF) channel data from the …