Clutter Filtering for Diagnostic Ultrasound Color Flow Imaging
- 作者: Leonov D.V.1, Kulberg N.S.1, Fin V.A.2, Podmoskovnaya V.A.2, Ivanova L.S.2, Shipaeva A.S.2, Vladzimirskiy A.V.1, Morozov S.P.1
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隶属关系:
- Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Healthcare of Moscow
- National Research University “Moscow Power Engineering Institute”
- 期: 卷 53, 编号 3 (2019)
- 页面: 217-221
- 栏目: Article
- URL: https://ogarev-online.ru/0006-3398/article/view/236164
- DOI: https://doi.org/10.1007/s10527-019-09912-1
- ID: 236164
如何引用文章
详细
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.
作者简介
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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