Adaptive noise reduction process based on gray-level concentrative filter for CW Doppler spectrogram

A. Sasaki, T. Azuma, H. Kamada, T. Hayashi, T. Nishimura, S. Umemura

Research output: Contribution to journalConference articlepeer-review

Abstract

An adaptive noise reduction process based on a gray-level concentrative filter is proposed for CW Doppler spectrogram. A graylevel concentrative filter as well as a convolution filter was tested to separate cardiac Doppler signals from the background noise in the histogram of the spectral amplitude as a function of time. By setting the cut-off threshold to the peak of the histogram of background noise amplitude after filtering, the background noise was significantly reduced without deteriorating the spectral signal. By setting the threshold to the valley between the histogram peaks of the background noise and spectral amplitudes after filtering, the maximum velocity was automatically traced in the spectrum as a function of time with a simple algorithm. A gray-level concentrative filter always showed a slightly better performance than a convolution filter with the same sliding window size in histogramically separating the Doppler signals from the background noise.

Original languageEnglish
Pages (from-to)1453-1456
Number of pages4
JournalProceedings - IEEE Ultrasonics Symposium
Volume2
Publication statusPublished - 2004 Dec 1
Event2004 IEEE Ultrasonics Symposium - Montreal, Que., Canada
Duration: 2004 Aug 232004 Aug 27

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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