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http://dx.doi.org/10.5762/KAIS.2011.12.5.2261

Enhancement of SNR Characteristics in Ultrasound Doppler Color Flow Mapping  

Kwon, Sung-Jae (Department of Communication Engineering, Daejin University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.12, no.5, 2011 , pp. 2261-2266 More about this Journal
Abstract
Being the most widely used in ultrasound Doppler color flow mapping, the Kasai algorithm, also known as lag-1 autocorrelation method, is capable of estimating the Doppler mean frequency relatively accurately with a modest amount of computation. Particularly in the case of imaging deep lying areas, however, its performance suffers due to low signal-to-noise ratios. The purpose of this paper is to propose a dealiased lag-2 autocorrelation method which is superior to the Kasai algorithm even at low signal-to-noise ratios and to compare their performances through simulations. The proposed algorithm is found to be better by about 2 to 3 dB than the Kasai algorithm in terms of Doppler mean frequency estimation error in the presence of measurement noise.
Keywords
Doppler; Lag-1 autocorrelation; Lag-2 autocorrelation; Mean frequency; SNR; Ultrasound;
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