scholarly journals New clutter-rejection algorithm for Doppler ultrasound

2002 ◽  
Author(s):  
Guy Cloutier ◽  
Danmin Chen ◽  
Louis-Gilles Durand
2003 ◽  
Vol 22 (4) ◽  
pp. 530-538 ◽  
Author(s):  
G. Cloutier ◽  
D. Chen ◽  
L.-G. Durand

2013 ◽  
Vol 49 (4) ◽  
pp. 2431-2439
Author(s):  
K. Ramachandra Murthy ◽  
Sambhunath Biswas ◽  
Ashish Ghosh

2014 ◽  
Vol 49 (4) ◽  
pp. 2431-2439
Author(s):  
K. Ramachandra Murthy ◽  
Sambhunath Biswas ◽  
Ashish Ghosh

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Tatsuro Baba ◽  
Shuichi Adachi ◽  
Masatsugu Taiko

In recent years, blood flow diagnosis using Doppler ultrasound systems has become popular. Using these systems, the peak velocity of blood flow is automatically traced. However, because valve signals are mixed with the blood flow signals in a heart chamber, automatic measurements of blood flow are not correctly recorded. To solve this problem, we developed a novel method that adopted system identification. We applied a mathematical model with an electrocardiographic waveform as the input and a trace waveform of the peak velocity as the output. Several mathematical models with different structures and orders were compared to select the optimal model. Using this model, we developed a system that could automatically eliminate the valve signal. We also evaluated our valve-rejection algorithm using simulations based on actual clinical data.


2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Raffaele Solimene ◽  
Antonietta D'Alterio

The intrawall diagnostic problem of detecting localized inhomogeneities possibly present within the wall is addressed. As well known, clutter arising from masonry structure can impair detection of embedded scatterers due to high amplitude reflections that wall front face introduces. Moreover, internal multiple reflections also can make it difficult ground penetrating radar images (radargramms) interpretation. To counteract these drawbacks, a clutter rejection method, properly tailored on the wall features, is mandatory. To this end, here we employ a windowing strategy based on entropy measures of temporal traces “similarity.” Accordingly, instants of time for which radargramms exhibit entropy values greater than a prescribed threshold are “silenced.” Numerical results are presented in order to show the effectiveness of the entropy-based clutter rejection algorithm. Moreover, a comparison with the standard average trace subtraction is also included.


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