Comparison of Filtering Techniques in Ultrasound Color Flow Imaging

The article considers filtering techniques used to suppress clutter signals from moving tissues and to improve reliability of blood flow estimation. It compares polynomial and adaptive bases such as the result of empirical mode decomposition and singular vectors obtained through Karhunen−Loève trans...

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Bibliographic Details
Published inBiomedical engineering Vol. 53; no. 2; pp. 97 - 101
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 01.07.2019
Springer
Springer Nature B.V
Subjects
Algorithms
Biomaterials
Biomedical Engineering and Bioengineering
Blood flow
Clutter
Computer applications
Computer simulation
Computers
Empirical analysis
Engineering
Experiments
Filters
Filtration
Flow profiles
Flow velocity
Polynomials
Processing speed
Signal processing
Ultrasonic imaging
Ultrasonic testing
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Summary:The article considers filtering techniques used to suppress clutter signals from moving tissues and to improve reliability of blood flow estimation. It compares polynomial and adaptive bases such as the result of empirical mode decomposition and singular vectors obtained through Karhunen−Loève transform. Filtering techniques are examined using a computer-simulated model, Doppler flow phantom and in vivo data. Filters are compared in terms of computational complexity, ability to retrieve flow profile without errors and through ROC curve analysis. Polynomial regression filters with tissue phase shift compensation were found to be the best fit for clutter suppression in terms of computational demands and accuracy of velocity estimation.
ISSN:0006-3398
1573-8256
DOI:10.1007/s10527-019-09885-1