Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
April 19, 2015

The proposed Hankel-SVD based method outperformed traditional IIR and polynomial regression filters in attenuating high intense non-stationary clutter signals in ultrasound color Doppler imaging.

View Full Paper
Ask AI
Bookmark
Share

Population

Synthetic slow-time data from a Doppler flow model and carotid arterial complex baseband data acquired by a…

Comparison

Adaptive clutter rejection method based on… vs Traditional IIR and polynomials regression…

Design

Other

Key result

The proposed Hankel-SVD based method outperformed traditional IIR and polynomial regression filters in attenuating high intense non-stationary clutter signals in ultrasound color Doppler imaging.

Authors

LWLutao WangWWWei WangGJGang Jin

Discussion

Loading...

Member takes

Overview

Hankel-SVD may improve clutter rejection in color Doppler; leaves open clinical validation before practice adoption.

Structured PICO

P
Population
Synthetic slow-time data from a Doppler flow model and carotid arterial complex baseband data acquired by a commercial ultrasound system (Sonix RP)
I
Intervention
Adaptive clutter rejection method based on Hankel Singular Value Decomposition (Hankel-SVD)
C
Comparator
Traditional IIR and polynomials regression filter, and other eigen-based filters
O
Outcome
Attenuation of high intense non-stationary clutter signal and distinguishing between blood and tissue regionssurrogate

The Hankel-SVD method provides superior non-stationary clutter rejection in ultrasound color Doppler imaging compared to traditional filters, improving the distinction between blood and tissue.

Cite This Study

Wang et al. (2015) studied Ultrasound color Doppler imaging. Hankel-SVD based adaptive clutter rejection method vs. Traditional IIR and polynomials regression filters was evaluated on Attenuation of high intense non-stationary clutter signal and distinguishing between blood and tissue regions. The proposed Hankel-SVD based method outperformed traditional IIR and polynomial regression filters in attenuating high intense non-stationary clutter signals in ultrasound color Doppler imaging.

synapsesocial.com/papers/6a71cbf58031ec7bb1dd1d96https://doi.org/10.11999/jeit140893
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Reduction of the Clutter Component in Doppler Ultrasound Signals Based on Singular Value Decomposition: A Simulation Study1997 · 123 citations
  2. 2Single-ensemble-based eigen-processing methods for color flow imaging - Part I. The Hankel-SVD filter2008 · 53 citations
  3. 3Clutter Rejection for Doppler Ultrasound Based on Blind Source Separation2013
  4. 4Adaptive higher-order singular value decomposition clutter filter for ultrafast Doppler imaging of coronary flow under non-negligible tissue motion2024 · 17 citations
  5. 5Real-time Adaptive and Localized Spatiotemporal Clutter Filtering for Ultrasound Small Vessel Imaging2024