Literature DB >> 18065839

Noninvasive assessment of the rheological behavior of human organs using multifrequency MR elastography: a study of brain and liver viscoelasticity.

Dieter Klatt1, Uwe Hamhaber, Patrick Asbach, Jürgen Braun, Ingolf Sack.   

Abstract

MR elastography (MRE) enables the noninvasive determination of the viscoelastic behavior of human internal organs based on their response to oscillatory shear stress. An experiment was developed that combines multifrequency shear wave actuation with broad-band motion sensitization to extend the dynamic range of a single MRE examination. With this strategy, multiple wave images corresponding to different driving frequencies are simultaneously received and can be analyzed by evaluating the dispersion of the complex modulus over frequency. The technique was applied on the brain and liver of five healthy volunteers. Its repeatability was tested by four follow-up studies in each volunteer. Five standard rheological models (Maxwell, Voigt, Zener, Jeffreys and fractional Zener model) were assessed for their ability to reproduce the observed dispersion curves. The three-parameter Zener model was found to yield the most consistent results with two shear moduli mu(1) = 0.84 +/- 0.22 (1.36 +/- 0.31) kPa, mu(2) = 2.03 +/- 0.19 (1.86 +/- 0.34) kPa and one shear viscosity of eta = 6.7 +/- 1.3 (5.5 +/- 1.6) Pa s (interindividual mean +/- SD) in brain (liver) experiments. Significant differences between the rheological parameters of brain and liver were found for mu(1) and eta (P < 0.05), indicating that human brain is softer and possesses a higher viscosity than liver.

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Year:  2007        PMID: 18065839     DOI: 10.1088/0031-9155/52/24/006

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  91 in total

1.  Estimating material viscoelastic properties based on surface wave measurements: a comparison of techniques and modeling assumptions.

Authors:  Thomas J Royston; Zoujun Dai; Rajesh Chaunsali; Yifei Liu; Ying Peng; Richard L Magin
Journal:  J Acoust Soc Am       Date:  2011-12       Impact factor: 1.840

2.  Transmission, attenuation and reflection of shear waves in the human brain.

Authors:  Erik H Clayton; Guy M Genin; Philip V Bayly
Journal:  J R Soc Interface       Date:  2012-06-06       Impact factor: 4.118

3.  [Magnetic resonance elastography of the liver].

Authors:  I Sack; T Fischer; A Thomas; J Braun
Journal:  Radiologe       Date:  2012-08       Impact factor: 0.635

4.  Contrast detection in fluid-saturated media with magnetic resonance poroelastography.

Authors:  Phillip R Perriñez; Adam J Pattison; Francis E Kennedy; John B Weaver; Keith D Paulsen
Journal:  Med Phys       Date:  2010-07       Impact factor: 4.071

5.  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

6.  Mechanical contrast in spectroscopic magnetomotive optical coherence elastography.

Authors:  Adeel Ahmad; Pin-Chieh Huang; Nahil A Sobh; Paritosh Pande; Jongsik Kim; Stephen A Boppart
Journal:  Phys Med Biol       Date:  2015-08-13       Impact factor: 3.609

7.  Wave attenuation as a measure of muscle quality as measured by magnetic resonance elastography: initial results.

Authors:  Zachary J Domire; Matthew B McCullough; Qingshan Chen; Kai-Nan An
Journal:  J Biomech       Date:  2009-01-25       Impact factor: 2.712

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.  Measurement of viscoelastic properties in multiple anatomical regions of acute rat brain tissue slices.

Authors:  S J Lee; M A King; J Sun; H K Xie; G Subhash; M Sarntinoranont
Journal:  J Mech Behav Biomed Mater       Date:  2013-09-09

Review 10.  Abdominal magnetic resonance elastography.

Authors:  Meng Yin; Jun Chen; Kevin J Glaser; Jayant A Talwalkar; Richard L Ehman
Journal:  Top Magn Reson Imaging       Date:  2009-04
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