Noise Equalization for Ultrafast Plane Wave Microvessel Imaging

Pengfei Song; Armando Manduca; Joshua D. Trzasko; Shigao Chen

doi:10.1109/TUFFC.2017.2748387

Noise Equalization for Ultrafast Plane Wave Microvessel Imaging

Pengfei Song, Armando Manduca, Joshua D. Trzasko, Shigao Chen

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

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 enable more robust clutter filtering based on singular value decomposition. However, due to the lack of transmit focusing, plane wave microvessel imaging is very susceptible to noise. This paper was designed to: 1) study the relationship between ultrasound system noise (primarily time gain compensation induced) and microvessel blood flow signal and 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 language	English (US)
Article number	8024013
Pages (from-to)	1776-1781
Number of pages	6
Journal	IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume	64
Issue number	11
DOIs	https://doi.org/10.1109/TUFFC.2017.2748387
State	Published - Nov 2017

Keywords

Clutter filter
SVD
microvessel imaging
noise
ultrafast ultrasound

ASJC Scopus subject areas

Instrumentation
Acoustics and Ultrasonics
Electrical and Electronic Engineering

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10.1109/TUFFC.2017.2748387

Cite this

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title = "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 enable more robust clutter filtering based on singular value decomposition. However, due to the lack of transmit focusing, plane wave microvessel imaging is very susceptible to noise. This paper was designed to: 1) study the relationship between ultrasound system noise (primarily time gain compensation induced) and microvessel blood flow signal and 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 = "Clutter filter, SVD, microvessel imaging, noise, ultrafast ultrasound",

author = "Pengfei Song and Armando Manduca and Trzasko, {Joshua D.} and Shigao Chen",

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AU - Song, Pengfei

AU - Manduca, Armando

AU - Trzasko, Joshua D.

AU - Chen, Shigao

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AB - 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 enable more robust clutter filtering based on singular value decomposition. However, due to the lack of transmit focusing, plane wave microvessel imaging is very susceptible to noise. This paper was designed to: 1) study the relationship between ultrasound system noise (primarily time gain compensation induced) and microvessel blood flow signal and 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.

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KW - SVD

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KW - noise

KW - ultrafast ultrasound

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Noise Equalization for Ultrafast Plane Wave Microvessel Imaging

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Keywords

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