Literature DB >> 17561335

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

Arun Thitaikumar1, Jonathan Ophir.   

Abstract

Ultrasound elastography produces strain images of compliant tissues under quasi-static compression. When a material is compressed, there are several parameters that affect the stress-distribution and, hence, the strain distribution in the material. The state of bonding of an inclusion to the background material is a critical parameter. Heretofore, in the field of elastography, the inclusion was considered to be firmly bonded to the background material and analytical solutions were derived for the elasticity problem involving simple geometries like circular inclusion (for two dimensional [2D]) and spherical inclusion (three dimensional [3D]). Under these conditions, simple analytical expressions relating the strain contrast to the modulus contrast were derived. However, it is known that the state of bonding of some tumors to their surrounding tissues depends on the type of the lesion. For example, benign lesions of the breast are known to be loosely bonded to the surrounding tissue, while malignant breast lesions are firmly bonded. In this study, we perform a parametric study using finite element modeling (FEM) to investigate the validity of the analytical expression relating the strain contrast to the modulus contrast, when the state of bonding at the inclusion/background interface spans a large dynamic range. The results suggest that estimated modulus contrast using the analytical expression is sensitive to the region-of-interest within the inclusion that is considered in the computation of the strain contrast. By considering the inclusion region lying along the axis of lateral symmetry instead of whole region of the inclusion, the estimated modulus contrast (obtained using the analytical expression present in the literature) can be computed to within a systematic error of 10% of the actual modulus contrast. Additional estimation errors are expected to accrue in experimental and in vivo conditions.

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Year:  2007        PMID: 17561335      PMCID: PMC2679747          DOI: 10.1016/j.ultrasmedbio.2007.03.011

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


  11 in total

1.  Contrast-transfer efficiency for continuously varying tissue moduli: simulation and phantom validation.

Authors:  F Kallel; C D Prihoda; J Ophir
Journal:  Ultrasound Med Biol       Date:  2001-08       Impact factor: 2.998

2.  Comparing elastographic strain images with modulus images obtained using nanoindentation: preliminary results using phantoms and tissue samples.

Authors:  Seshadri Srinivasan; T Krouskop; Jonathan Ophir
Journal:  Ultrasound Med Biol       Date:  2004-03       Impact factor: 2.998

3.  Elastography: a quantitative method for imaging the elasticity of biological tissues.

Authors:  J Ophir; I Céspedes; H Ponnekanti; Y Yazdi; X Li
Journal:  Ultrason Imaging       Date:  1991-04       Impact factor: 1.578

4.  Shear strain estimation and lesion mobility assessment in elastography.

Authors:  E E Konofagou; T Harrigan; J Ophir
Journal:  Ultrasonics       Date:  2000-03       Impact factor: 2.890

5.  Ultrasound tissue displacement imaging with application to breast cancer.

Authors:  E J Chen; R S Adler; P L Carson; W K Jenkins; W D O'Brien
Journal:  Ultrasound Med Biol       Date:  1995       Impact factor: 2.998

6.  Fundamental limitations on the contrast-transfer efficiency in elastography: an analytic study.

Authors:  F Kallel; M Bertrand; J Ophir
Journal:  Ultrasound Med Biol       Date:  1996       Impact factor: 2.998

7.  Elastostatics of a spherical inclusion in homogeneous biological media.

Authors:  M Bilgen; M F Insana
Journal:  Phys Med Biol       Date:  1998-01       Impact factor: 3.609

8.  Dynamic tests in real-time breast echography.

Authors:  E Ueno; E Tohno; S Soeda; Y Asaoka; K Itoh; J C Bamber; M Blaszçzyk; J Davey; J A Mckinna
Journal:  Ultrasound Med Biol       Date:  1988       Impact factor: 2.998

9.  Quantitative evaluation of real-time ultrasound features of the breast.

Authors:  J C Bamber; L De Gonzalez; D O Cosgrove; P Simmons; J Davey; J A McKinna
Journal:  Ultrasound Med Biol       Date:  1988       Impact factor: 2.998

10.  Elastography of breast lesions: initial clinical results.

Authors:  B S Garra; E I Cespedes; J Ophir; S R Spratt; R A Zuurbier; C M Magnant; M F Pennanen
Journal:  Radiology       Date:  1997-01       Impact factor: 11.105

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  7 in total

1.  Shear wave speed recovery in sonoelastography using crawling wave data.

Authors:  Kui Lin; Joyce McLaughlin; Daniel Renzi; Ashley Thomas
Journal:  J Acoust Soc Am       Date:  2010-07       Impact factor: 1.840

2.  Two-dimensional shear wave speed and crawling wave speed recoveries from in vitro prostate data.

Authors:  Kui Lin; Joyce R McLaughlin; Ashley Thomas; Kevin Parker; Benjamin Castaneda; Deborah J Rubens
Journal:  J Acoust Soc Am       Date:  2011-07       Impact factor: 1.840

3.  Optic Nerve Head Elastometry in Both Eyes of Patients with Unilateral Non-arteritic Anterior Ischaemic Optic Neuropathy - May It Be a Novel Aspect of the Pathogenesis?

Authors:  Pinar Kosekahya; Mehtap Caglayan; Ozlem Unal; Sema Yuzbasioglu; Mustafa Koc; Cemile Ucgul Atilgan; Fatma Yulek
Journal:  Neuroophthalmology       Date:  2017-11-09

4.  In-vitro Strain and Modulus Measurements in Porcine Cervical Lymph Nodes.

Authors:  Queeny Wing-Han Yuen; Yong-Ping Zheng; Yan-Ping Huang; Jun-Feng He; James Chung-Wai Cheung; Michael Ying
Journal:  Open Biomed Eng J       Date:  2011-03-30

5.  Further characterization of changes in axial strain elastograms due to the presence of slippery tumor boundaries.

Authors:  Christopher Uff; Leo Garcia; Jeremie Fromageau; Aabir Chakraborty; Neil Dorward; Jeffrey Bamber
Journal:  J Med Imaging (Bellingham)       Date:  2018-02-05

Review 6.  Mechanics of ultrasound elastography.

Authors:  Guo-Yang Li; Yanping Cao
Journal:  Proc Math Phys Eng Sci       Date:  2017-03-01       Impact factor: 2.704

7.  Slip interface imaging based on MR-elastography preoperatively predicts meningioma-brain adhesion.

Authors:  Ziying Yin; Joshua D Hughes; Joshua D Trzasko; Kevin J Glaser; Armando Manduca; Jamie Van Gompel; Michael J Link; Anthony Romano; Richard L Ehman; John Huston
Journal:  J Magn Reson Imaging       Date:  2017-02-14       Impact factor: 4.813

  7 in total

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