Clutter Filtering for Diagnostic Ultrasound Color Flow Imaging


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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.

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D. Leonov

Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Healthcare of Moscow

编辑信件的主要联系方式.
Email: d.leonov@npcmr.ru
俄罗斯联邦, Moscow

N. Kulberg

Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Healthcare of Moscow

Email: d.leonov@npcmr.ru
俄罗斯联邦, Moscow

V. Fin

National Research University “Moscow Power Engineering Institute”

Email: d.leonov@npcmr.ru
俄罗斯联邦, Moscow

V. Podmoskovnaya

National Research University “Moscow Power Engineering Institute”

Email: d.leonov@npcmr.ru
俄罗斯联邦, Moscow

L. Ivanova

National Research University “Moscow Power Engineering Institute”

Email: d.leonov@npcmr.ru
俄罗斯联邦, Moscow

A. Shipaeva

National Research University “Moscow Power Engineering Institute”

Email: d.leonov@npcmr.ru
俄罗斯联邦, Moscow

A. Vladzimirskiy

Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Healthcare of Moscow

Email: d.leonov@npcmr.ru
俄罗斯联邦, Moscow

S. Morozov

Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Healthcare of Moscow

Email: d.leonov@npcmr.ru
俄罗斯联邦, Moscow

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