An Efficient Algorithm to Remove Low Frequency Doppler Signals in Digital Doppler Systems
- 1 April 1991
- journal article
- research article
- Published by SAGE Publications in Ultrasonic Imaging
- Vol. 13 (2), 135-144
- https://doi.org/10.1177/016173469101300202
Abstract
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.Keywords
This publication has 7 references indexed in Scilit:
- Low-order AR models for mean and maximum frequency estimation in the context of Doppler color flow mappingIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1990
- Time-domain estimation of the center frequency and spread of Doppler spectra in diagnostic ultrasoundIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1988
- Simulation of Real-Time Frequency Estimators for Pulsed Doppler SystemsUltrasonic Imaging, 1986
- Real-Time Two-Dimensional Blood Flow Imaging Using an Autocorrelation TechniqueIEEE Transactions on Sonics and Ultrasonics, 1985
- An infinite gate pulse dopplerJapanese Journal of Clinical Oncology, 1981
- A Multigate Pulsed Doppler System with Serial Data ProcessingIEEE Transactions on Sonics and Ultrasonics, 1981
- Power-Spectrum Centroid Detection for Doppler Systems ApplicationsUltrasonic Imaging, 1980