Clutter Filtering for Diagnostic Ultrasound Color Flow Imaging

Clutter filtering plays an important role in constructing a quality color flow map in ultrasound Doppler imaging. Signals from slow-moving tissues and vessel walls are clutter as they often mix with reflections from blood and should be suppressed for the further correct estimation of flow parameters...

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Bibliographic Details
Published inBiomedical engineering Vol. 53; no. 3; pp. 217 - 221
Main Authors Leonov, D. V., Kulberg, N. S., Fin, V. A., Podmoskovnaya, V. A., Ivanova, L. S., Shipaeva, A. S., Vladzimirskiy, A. V., Morozov, S. P.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.09.2019
Springer
Springer Nature B.V
Subjects
Algorithms
Biomaterials
Biomedical Engineering and Bioengineering
Blood flow
Blood vessels
Clutter
Color
Diagnostic imaging
Doppler effect
Eigenvectors
Engineering
Filtration
Flow mapping
Flow velocity
Medical equipment
Medical imaging
Polynomials
Power
Real time
Real time operation
Signal processing
Ultrasonic imaging
Ultrasound
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Summary:Clutter filtering plays an important role in constructing a quality color flow map in ultrasound Doppler imaging. Signals from slow-moving tissues and vessel walls are clutter as they often mix with reflections from blood and should be suppressed for the further correct estimation of flow parameters. Their complete suppression in color flow imaging is difficult, because these signals on average are 40-60 dB more powerful than the signals from blood, the length of the Doppler sequence is very short, and there is always a demand for a real-time operation. This article provides a general model of the Doppler signal and discusses filters based on polynomial and adaptive regression, empirical mode decomposition, and prospective combined approaches to blood flow filtering.
ISSN:0006-3398
1573-8256
DOI:10.1007/s10527-019-09912-1