Letters: Noise Equalization for Ultrafast Plane Wave Microvessel Imaging

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Ultrafast plane wave microvessel imaging significantly improves ultrasound Doppler sensitivity by increasing the number of Doppler ensembles that can be collected within a short period of time. The rich spatiotemporal plane wave data also enables more robust clutter filtering based on singular value decomposition (SVD). However, due to the lack of transmit focusing, plane wave microvessel imaging is very susceptible to noise. This study was designed to: 1) study the relationship between ultrasound system noise (primarily time gain compensation-induced) and microvessel blood flow signal; 2) propose an adaptive and computationally cost-effective noise equalization method that is independent of hardware or software imaging settings to improve microvessel image quality.

Original languageEnglish (US)
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
DOIs
StateAccepted/In press - Aug 31 2017

Fingerprint

plane waves
Imaging techniques
Ultrasonics
clutter
Singular value decomposition
blood flow
Acoustic noise
Image quality
hardware
Blood
costs
computer programs
Hardware
decomposition
sensitivity
Costs
Compensation and Redress

Keywords

  • Blood
  • Clutter
  • Doppler effect
  • Imaging
  • Noise measurement
  • Signal to noise ratio
  • Ultrasonic imaging

ASJC Scopus subject areas

  • Instrumentation
  • Acoustics and Ultrasonics
  • Electrical and Electronic Engineering

Cite this

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title = "Letters: Noise Equalization for Ultrafast Plane Wave Microvessel Imaging",
abstract = "Ultrafast plane wave microvessel imaging significantly improves ultrasound Doppler sensitivity by increasing the number of Doppler ensembles that can be collected within a short period of time. The rich spatiotemporal plane wave data also enables more robust clutter filtering based on singular value decomposition (SVD). However, due to the lack of transmit focusing, plane wave microvessel imaging is very susceptible to noise. This study was designed to: 1) study the relationship between ultrasound system noise (primarily time gain compensation-induced) and microvessel blood flow signal; 2) propose an adaptive and computationally cost-effective noise equalization method that is independent of hardware or software imaging settings to improve microvessel image quality.",
keywords = "Blood, Clutter, Doppler effect, Imaging, Noise measurement, Signal to noise ratio, Ultrasonic imaging",
author = "Pengfei Song and Armando Manduca and Trazasko, {Joshua D} and Chen, {Shigao D}",
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AU - Song, Pengfei

AU - Manduca, Armando

AU - Trazasko, Joshua D

AU - Chen, Shigao D

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KW - Signal to noise ratio

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