Literature DB >> 16761786

Spatial angular compounding for elastography without the incompressibility assumption.

Min Rao1, Tomy Varghese.   

Abstract

Spatial-angular compounding is a new technique that enables the reduction of noise artifacts in ultrasound elastography. Previous results using spatial angular compounding, however, were based on the use of the tissue incompressibility assumption. Compounded elastograms were obtained from a spatially-weighted average of local strain estimated from radiofrequency echo signals acquired at different insonification angles. In this paper, we present a new method for reducing the noise artifacts in the axial strain elastogram utilizing a least-squares approach on the angular displacement estimates that does not use the incompressibility assumption. This method produces axial strain elastograms with higher image quality, compared to noncompounded axial strain elastograms, and is referred to as the least-squares angular-compounding approach for elastography. To distinguish between these two angular compounding methods, the spatial-angular compounding with angular weighting based on the tissue incompressibility assumption is referred to as weighted compounding. In this paper, we compare the performance of the two angular-compounding techniques for elastography using beam steering on a linear-array transducer. Quantitative experimental results demonstrate that least-squares compounding provides comparable but smaller improvements in both the elastographic signal-to-noise ratio and the contrast-to-noise ratio, as compared to the weighted-compounding method. Ultrasound simulation results suggest that the least-squares compounding method performs better and provide accurate and robust results when compared to the weighted compounding method, in the case where the incompressibility assumption does not hold.

Mesh:

Year:  2005        PMID: 16761786      PMCID: PMC1994653          DOI: 10.1177/016173460502700404

Source DB:  PubMed          Journal:  Ultrason Imaging        ISSN: 0161-7346            Impact factor:   1.578


  31 in total

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  5 in total

1.  Normal and shear strain estimation using beam steering on linear-array transducers.

Authors:  M Rao; Q Chen; H Shi; T Varghese; E L Madsen; J A Zagzebski; T A Wilson
Journal:  Ultrasound Med Biol       Date:  2007-01       Impact factor: 2.998

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Authors:  Min Rao; Tomy Varghese
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2007-09       Impact factor: 2.725

3.  Noise analysis and improvement of displacement vector estimation from angular displacements.

Authors:  Hao Chen; Tomy Varghese
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

4.  Normal and shear strain imaging using 2D deformation tracking on beam steered linear array datasets.

Authors:  Haiyan Xu; Tomy Varghese
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

5.  In vivo classification of breast masses using features derived from axial-strain and axial-shear images.

Authors:  Haiyan Xu; Tomy Varghese; Jingfeng Jiang; James A Zagzebski
Journal:  Ultrason Imaging       Date:  2012-10       Impact factor: 1.578

  5 in total

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