PubMed Health⌕ Search

Biomedical subjects

A Dabekaussen

Publications and source records attributed to A Dabekaussen.

2 recordsLinked to original sources

An efficient algorithm to remove low frequency Doppler signals in digital Doppler systems.

In color flow imaging, a high flow map rate in combination with a reasonable width of the map and good velocity resolution is essential to properly appreciate the time-dependent phenomena. The velocity resolution depends on the length of the signal segment considered in combination with the settling time of the high pass filter used to eliminate transients and low frequency artifacts. The latter can be reduced by appropriate processing. This paper presents an algorithm to suppress low frequency Doppler signals effectively and efficiently, while all the data points within the segment considered contribute equally to the average Doppler frequency computed. The algorithm is applied to computer generated Doppler signals to evaluate their time and frequency behavior. It is concluded that the proposed scheme functions adequately under various signal conditions.

Algorithms↗

Technical limitations of the present color coded US-Doppler systems in analyzing flow anomalies in arteries.

The pulsatile nature of blood flow, compliance and tapering of arteries, and arterial bifurcations and curves affect the flow distribution within an artery as function of time. Temporarily and spatially secondary flow phenomena may occur. The presence of secondary flow phenomena causes the flow velocity vector to deviate from the axial direction. In general ultrasound Doppler systems only register the velocity component along the line of observation. For color coded Doppler systems the accuracy to assess this velocity component highly depends on the number of subsequent pulses issued along the same line. A high number of repetitive pulses will improve the accuracy, but only at the expense of a reduced frame rate in the Doppler mode, a reduced width of the region of interest, or both. To appreciate properly the time dependent nature of the velocity distribution quite a high frame rate is required. This paper discusses the flow phenomena of interest and the basic factors affecting the accuracy in velocity assessment that can be obtained. Computer generated Doppler signals are analyzed to obtain quantitative information about the standard deviation of the estimate for the velocity in a given sample volume.

Blood Flow Velocity↗