An adaptive threshold filter for ultrasound signal rejection

NCUIR > Research Center > Research Center for adaptive Data analysis > journal & Dissertation > Item 987654321/27710

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27710

Title:	An adaptive threshold filter for ultrasound signal rejection
Authors:	Tsui,PH;Chang,CC;Chang,CC;Huang,NE;Ho,MC
Contributors:	數據分析方法研究中心
Keywords:	EMPIRICAL MODE DECOMPOSITION;HILBERT SPECTRUM;REDUCTION;IMAGES
Date:	2009
Issue Date:	2010-06-29 19:12:23 (UTC+8)
Publisher:	中央大學
Abstract:	The threshold filter is a frequently used technique in ultrasound B-scan to reject the small echoes contributed from backscattering that blur the tissue interface and reduce the image contrast. Note that using the threshold based on one value would simultaneously destroy local waveform features of the reflection echoes with amplitudes larger than threshold value. To resolve this problem, we developed an adaptive threshold filter based on the noise-assisted empirical mode decomposition (EMD). Computer simulations at 7.5 MHz using a single-element transducer with a bandwidth of 60% and a pulselength of 0.5 mu s were carried out to explore the feasibility of the algorithm. Image measurements on the carotid artery using a 7.5 MHz, 128 elements, 1D linear array transducer with the same characteristics as those in simulations were used to verify the performance of the algorithm in practice. Compared to the result from the conventional threshold technique, the adaptive threshold filter is able to successfully suppress the smaller backscattering signals without changing the local waveform features of the preserved significant echoes due to refection. (C) 2008 Elsevier B. V. All rights reserved.
Relation:	ULTRASONICS
Appears in Collections:	[Research Center for adaptive Data analysis ] journal & Dissertation

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