Literature DB >> 18080819

Magnetic resonance elastography compared with rotational rheometry for in vitro brain tissue viscoelasticity measurement.

Jonathan Vappou1, Elodie Breton, Philippe Choquet, Christian Goetz, Rémy Willinger, André Constantinesco.   

Abstract

Magnetic resonance elastography (MRE) is an increasingly used method for non-invasive determination of tissue stiffness. MRE has shown its ability to measure in vivo elasticity or viscoelasticity depending on the chosen rheological model. However, few data exist on quantitative comparison of MRE with reference mechanical measurement techniques. MRE has only been validated on soft homogeneous gels under both Hookean elasticity and linear viscoelasticity assumptions, but comparison studies are lacking concerning viscoelastic properties of complex heterogeneous tissues. In this context, the present study aims at comparing an MRE-based method combined with a wave equation inversion algorithm to rotational rheometry. For this purpose, experiments are performed on in vitro porcine brain tissue. The dynamic behavior of shear storage (G') and loss (G ('')) moduli obtained by both rheometry and MRE at different frequency ranges is similar to that of linear viscoelastic properties of brain tissue found in other studies. This continuity between rheometry and MRE results consolidates the quantitative nature of values found by MRE in terms of viscoelastic parameters of soft heterogeneous tissues. Based on these results, the limits of MRE in terms of frequency range are also discussed.

Mesh:

Year:  2007        PMID: 18080819     DOI: 10.1007/s10334-007-0098-7

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  17 in total

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Authors:  L E Bilston; Z Liu; N Phan-Thien
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2.  Quantitative shear wave magnetic resonance elastography: comparison to a dynamic shear material test.

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Authors:  Stacie I Ringleb; Sabine F Bensamoun; Qingshan Chen; Armando Manduca; Kai-Nan An; Richard L Ehman
Journal:  J Magn Reson Imaging       Date:  2007-02       Impact factor: 4.813

4.  Three-dimensional analysis of shear wave propagation observed by in vivo magnetic resonance elastography of the brain.

Authors:  U Hamhaber; I Sack; S Papazoglou; J Rump; D Klatt; J Braun
Journal:  Acta Biomater       Date:  2006-10-25       Impact factor: 8.947

5.  MR elastography of breast cancer: preliminary results.

Authors:  Alexia L McKnight; Jennifer L Kugel; Phillip J Rossman; Armando Manduca; Lynn C Hartmann; Richard L Ehman
Journal:  AJR Am J Roentgenol       Date:  2002-06       Impact factor: 3.959

6.  Magnetic resonance elastography by direct visualization of propagating acoustic strain waves.

Authors:  R Muthupillai; D J Lomas; P J Rossman; J F Greenleaf; A Manduca; R L Ehman
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7.  MR elastography of the liver: preliminary results.

Authors:  Olivier Rouvière; Meng Yin; M Alex Dresner; Phillip J Rossman; Lawrence J Burgart; Jeff L Fidler; Richard L Ehman
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8.  In vivo determination of hepatic stiffness using steady-state free precession magnetic resonance elastography.

Authors:  Dieter Klatt; Patrick Asbach; Jens Rump; Sebastian Papazoglou; Rajan Somasundaram; Jens Modrow; Jürgen Braun; Ingolf Sack
Journal:  Invest Radiol       Date:  2006-12       Impact factor: 6.016

9.  Age-dependent material properties of the porcine cerebrum: effect on pediatric inertial head injury criteria.

Authors:  K L Thibault; S S Margulies
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10.  Non-invasive measurement of brain viscoelasticity using magnetic resonance elastography.

Authors:  Ingolf Sack; Bernd Beierbach; Uwe Hamhaber; Dieter Klatt; Jürgen Braun
Journal:  NMR Biomed       Date:  2008-03       Impact factor: 4.044

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  28 in total

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2.  Toward guiding principles for the design of biologically-integrated electrodes for the central nervous system.

Authors:  Cort H Thompson; Ti'Air E Riggins; Paras R Patel; Cynthia A Chestek; Wen Li; Erin Purcell
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4.  Subzone based magnetic resonance elastography using a Rayleigh damped material model.

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Journal:  J Neurosci Res       Date:  2014-05-05       Impact factor: 4.164

6.  K-space data processing for magnetic resonance elastography (MRE).

Authors:  Nadège Corbin; Elodie Breton; Michel de Mathelin; Jonathan Vappou
Journal:  MAGMA       Date:  2016-11-07       Impact factor: 2.310

7.  Analysis of time reduction methods for magnetic resonance elastography of the brain.

Authors:  Matthew C Murphy; Kevin J Glaser; Armando Manduca; Joel P Felmlee; Jon Huston; Richard L Ehman
Journal:  Magn Reson Imaging       Date:  2010-12       Impact factor: 2.546

8.  Mechanical properties of porcine brain tissue in vivo and ex vivo estimated by MR elastography.

Authors:  Charlotte A Guertler; Ruth J Okamoto; John L Schmidt; Andrew A Badachhape; Curtis L Johnson; Philip V Bayly
Journal:  J Biomech       Date:  2018-01-31       Impact factor: 2.712

9.  Viscoelastic properties of the ferret brain measured in vivo at multiple frequencies by magnetic resonance elastography.

Authors:  Y Feng; E H Clayton; Y Chang; R J Okamoto; P V Bayly
Journal:  J Biomech       Date:  2013-01-24       Impact factor: 2.712

10.  Wideband MR elastography for viscoelasticity model identification.

Authors:  Temel K Yasar; Thomas J Royston; Richard L Magin
Journal:  Magn Reson Med       Date:  2012-09-21       Impact factor: 4.668

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