Paper Info
Title
New adaptive clutter rejection based on spectral analysis for ultrasound color Doppler imaging: phantom and in vivo abdominal study.
Abstract
Effective rejection of time-varying clutter originating from slowly moving vessels and surrounding tissues is important for depicting hemodynamics in ultrasound color Doppler imaging (CDI). In this paper, a new adaptive clutter rejection method based on spectral analysis (ACR-SA) is presented for suppressing nonstationary clutter. In ACR-SA, tissue and flow characteristics are analyzed by singular value decomposition and tissue acceleration of backscattered Doppler signals to determine an appropriate clutter filter from a set of clutter filters. To evaluate the ACR-SA method, 20 frames of complex baseband data were acquired by a commercial ultrasound system equipped with a research package (Accuvix V10, Samsung Medison, Seoul, Korea) using a 3.5-MHz convex array probe by introducing tissue movements to the flow phantom (Gammex 1425 A LE, Gammex, Middleton, WI, USA). In addition, 20 frames of in vivo abdominal data from five volunteers were captured. From the phantom experiment, the ACR-SA method provided 2.43 dB (p <; 0.001) and 1.09 dB ( ) improvements in flow signal-to-clutter ratio (SCR) compared to static (STA) and down-mixing (ACR-DM) methods. Similarly, it showed smaller values in fractional residual clutter area (FRCA) compared to the STA and ACR-DM methods (i.e., 2.3% versus 5.4% and 3.7%, respectively, ). The consistent improvements in SCR from the proposed ACR-SA method were obtained with the in vivo abdominal data (i.e., 4.97 dB and 3.39 dB over STA and ACR-DM, respectively). The ACR-SA method showed less than 1% FRCA values for all in vivo abdominal data. These results indicate that the proposed ACR-SA method can improve image quality in CDI by providing enhanced rejection of nonstationary clutter.
Year
DOI
Venue
2014
10.1109/TBME.2013.2276088
IEEE Trans. Biomed. Engineering
Keywords
Field
DocType
acr-dm methods,tissue acceleration,image quality,backscattered doppler signals,complex baseband data,clutter filter,adaptive clutter rejection method,down-mixing methods,adaptive clutter rejection,signal-clutter ratio,biomedical ultrasonics,ultrasound color doppler imaging,spectral analysis,flow characteristics,hemodynamics,sta methods,time-varying clutter,tissues,convex array probe,acr-sa method,in vivo abdominal data,biological tissues,nonstationary clutter,tissue movements,ultrasound color doppler imaging (cdi),phantoms,singular value decomposition,commercial ultrasound system,slow moving vessels,medical image processing,phantom,enhanced rejection,fractional residual clutter area,haemodynamics
Singular value decomposition,Computer vision,Baseband,Doppler imaging,Clutter,Computer science,Imaging phantom,Image quality,Electronic engineering,Artificial intelligence,Doppler effect,Ultrasound
Journal
Volume
Issue
ISSN
61
1
1558-2531
Citations 
PageRank 
References 
0
0.34
0
Authors
9
Name
Order
Citations
PageRank
Geunyong Park100.34
Sunmi Yeo201.35
Jae-Jin Lee3278.69
Changhan Yoon4113.33
Hyun-woo Koh500.34
Hyungjoon Lim600.68
Young-Tae Kim7638.05
Hwan Shim852.02
Yang-Mo Yoo9847.43