Literature DB >> 7571146

Fundamental mechanical limitations on the visualization of elasticity contrast in elastography.

H Ponnekanti1, J Ophir, Y Huang, I Céspedes.   

Abstract

Elastography is a new ultrasonic imaging technique that produces images (elastograms) of the elastic properties of complaint tissue. To determine the Young's modulus it is necessary to measure or estimate any five of seven relevant variables. In elastography, the measured quantity is the normal strain component in the direction of the applied load, and the three normal components of stress may be estimated using the modified Love's analytical models while assuming a value close to 0.5 (incompressible) for Poisson's ratio. The distribution of Young's moduli can thus be computed and displayed in the form of two-dimensional images called elastrograms. The analytical models used for the estimation of the three normal components of stress assume that the target is semi-infinite and homogeneous in composition. The objective of this article is to determine some of the errors associated with the assumption of homogeneity of the target. Experiments using computer simulations were performed to study the efficiency with which elastograms display the contrast in the Young's modulus of a lesion or target, with respect to its background under certain conditions. It was observed (using the definition of contrast-transfer efficiency of elastography as the ratio of the elasticity contrast as measured from an elastogram, to the true contrast) that elastograms were consistently efficient in quantitatively depicting the elasticity contrast of hard lesions; however, they showed suboptimal contrast-transfer efficiency in cases of soft lesions in a hard background. In general, elastograms are efficient in displaying the elasticity contrast of hard or soft lesions which have a low contrast level with respect to the surroundings, irrespective of their size and location.

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Year:  1995        PMID: 7571146     DOI: 10.1016/0301-5629(94)00136-2

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  22 in total

1.  Ultrasound echo is related to stress and strain in tendon.

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2.  A parallel tracking method for acoustic radiation force impulse imaging.

Authors:  Jeremy J Dahl; Gianmarco F Pinton; Mark L Palmeri; Vineet Agrawal; Kathryn R Nightingale; Gregg E Trahey
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2007-02       Impact factor: 2.725

3.  Effect of lesion boundary conditions on axial strain elastograms: a parametric study.

Authors:  Arun Thitaikumar; Jonathan Ophir
Journal:  Ultrasound Med Biol       Date:  2007-06-11       Impact factor: 2.998

Review 4.  Medical ultrasound: imaging of soft tissue strain and elasticity.

Authors:  Peter N T Wells; Hai-Dong Liang
Journal:  J R Soc Interface       Date:  2011-06-16       Impact factor: 4.118

Review 5.  Elastography: Imaging the elastic properties of soft tissues with ultrasound.

Authors:  Jonathan Ophir; S Kaisar Alam; Brian S Garra; Faouzi Kallel; Elisa E Konofagou; Thomas Krouskop; Christopher R B Merritt; Raffaella Righetti; Remi Souchon; Seshadri Srinivasan; Tomy Varghese
Journal:  J Med Ultrason (2001)       Date:  2002-12       Impact factor: 1.314

6.  Shear modulus reconstruction by ultrasonically measured strain ratio.

Authors:  Chikayoshi Sumi; Hidenori Matsuzawa
Journal:  J Med Ultrason (2001)       Date:  2007-12-14       Impact factor: 1.314

7.  Virtual Breast Quasi-static Elastography (VBQE).

Authors:  David Rosen; Yu Wang; Jingfeng Jiang
Journal:  Ultrason Imaging       Date:  2016-08-11       Impact factor: 1.578

8.  Ultrasound-based relative elastic modulus imaging for visualizing thermal ablation zones in a porcine model.

Authors:  Jingfeng Jiang; Chris Brace; Anita Andreano; Ryan J DeWall; Nick Rubert; Ted G Fisher; Tomy Varghese; Fred Lee; Timothy J Hall
Journal:  Phys Med Biol       Date:  2010-03-30       Impact factor: 3.609

9.  Investigating the impact of spatial priors on the performance of model-based IVUS elastography.

Authors:  M S Richards; M M Doyley
Journal:  Phys Med Biol       Date:  2011-10-28       Impact factor: 3.609

10.  pH-induced contrast in viscoelasticity imaging of biopolymers.

Authors:  R D Yapp; M F Insana
Journal:  Phys Med Biol       Date:  2009-01-27       Impact factor: 3.609

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