Proper suppression of tissue clutter is a prerequisite for visualizing flow accurately in
ultrasound color flow imaging. Among various clutter suppression methods, the eigen-based …

Blind source separation (BSS) refers to a number of signal processing techniques that
decompose a signal into several “source” signals. In recent years, BSS is increasingly …

A general filtering method, called the singular value filter (SVF), is presented as a framework
for principal component analysis (PCA) based filter design in medical ultrasound imaging …

Power Doppler (PD) imaging is a widely used technique for flow detection. Despite the wide
use of Doppler ultrasound, limitations exist in the ability of Doppler ultrasound to assess …

Short-lag spatial coherence (SLSC) imaging is a novel beamforming technique that reduces
acoustic clutter in ultrasound images. A clinical study was conducted to investigate clutter …

Combinations of novel pulse-echo acquisitions and clutter filtering techniques can improve
the sensitivity and the specificity of power Doppler (PD) images, thus reducing the need for …

Because of their adaptability to the slow-time signal contents, eigen-based filters have
shown potential in improving the flow detection performance of color flow images. This …

Developing efficient brain imaging technologies by combining a high spatiotemporal
resolution and a large penetration depth is a key step for better understanding the …

We propose a new algorithm for real-time, adaptive-clutter-rejection filtering in ultrasound
color flow imaging (CFI) and related techniques. The algorithm is based on regression …

Conventional Doppler ultrasound is useful for visualizing fast blood flow in large resolvable
vessels. However, frame rate and tissue clutter caused by movement of the patient or …