Improvement of elastographic displacement estimation using a two-step cross-correlation method.

Improvement of elastographic displacement estimation using a two-step cross-correlation method. Research Abstract Details 

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Improvement of elastographic displacement estimation using a two-step cross-correlation method. Abstract Text:

Hao Chen,Hairong Shi,Tomy Varghese,

The cross-correlation algorithm used to compute the local strain components for elastographic imaging requires a minimum radio-frequency data segment length of around 10 wavelengths to obtain accurate and precise strain estimates with a reasonable signal-to-noise ratio. Shorter radio-frequency data segments generally introduce increased estimation errors as the information content in the data segment reduces. However, shorter data segments and increased overlaps are essential to improve the axial resolution in the strain image. In this paper, we propose a two-step cross-correlation technique that enables the use of window lengths on the order of a single wavelength to provide displacement and strain estimates with similar noise properties as those obtained with a 10 wavelength window. The first processing step utilizes a window length on the order of 10 wavelengths to obtain coarse displacement estimates between the pre- and post-compression radio frequency data frames. This coarse displacement is then interpolated and utilized as the initial guess-estimate for the second cross-correlation processing step using the smaller window. This step utilizes a single wavelength window to improve the axial resolution in strain estimation, without significantly compromising the noise properties of the image. Simulation and experimental results show that the signal-to-noise and contrast-to-noise ratio estimates improve significantly at the smaller window lengths with the two-step processing when compared with the use of a similar sized window in the currently utilized single window method.

Improvement of elastographic displacement estimation using a two-step cross-correlation method. Publishing Authors By Initials

H Chen,H Shi,T Varghese,

For similar natural sciences: physics: acoustics: ultrasonics research abstracts see: natural sciences: physics: acoustics: ultrasonics research

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Improvement of elastographic displacement estimation using a two-step cross-correlation method. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: Ultrasound in medicine & biology

VOLUME: 33

Page Numbers: 48-56

Journal Abbreviation:

ISSN: 0301-5629

DAY: 3

MONTH: Jan

YEAR: 2007

Improvement of elastographic displacement estimation using a two-step cross-correlation method. Information

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LANGUAGE: eng

NlmUniqueID: 410553

Improvement of elastographic displacement estimation using a two-step cross-correlation method. Keywords Mesh Terms:

KEYWORDS: Ultrasonics

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Chemical & Substance for Abstract: Improvement of elastographic displacement estimation using a two-step cross-correlation method. Information

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Grant and Affiliation Information for Improvement of elastographic displacement estimation using a two-step cross-correlation method.

AFFILIATION: Department of Medical Physics, The University of Wisconsin-Madison, Madison, Madison, WI 53706, USA.

Country: England

AGENCY: United States NIBIB

GRANT: R21 EB003853-03

ACRONYM: EB

MEDLINETA: Ultrasound Med Biol

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