Literature DB >> 20655045

Time-harmonic magnetic resonance elastography of the normal feline brain.

A J Pattison1, S S Lollis, P R Perriñez, I M Perreard, M D J McGarry, J B Weaver, K D Paulsen.   

Abstract

Imaging of the mechanical properties of in vivo brain tissue could eventually lead to non-invasive diagnosis of hydrocephalus, Alzheimer's disease and other pathologies known to alter the intracranial environment. The purpose of this work is to (1) use time-harmonic magnetic resonance elastography (MRE) to estimate the mechanical property distribution of cerebral tissue in the normal feline brain and (2) compare the recovered properties of grey and white matter. Various in vivo and ex vivo brain tissue property measurement strategies have led to the highly variable results that have been reported in the literature. MR elastography is an imaging technique that can estimate mechanical properties of tissue non-invasively and in vivo. Data was acquired in 14 felines and elastic parameters were estimated using a globo-regional nonlinear image reconstruction algorithm. Results fell within the range of values reported in the literature and showed a mean shear modulus across the subject group of 7-8 kPa with all but one animal falling within 5-15 kPa. White matter was statistically stiffer (p<0.01) than grey matter by about 1 kPa on a per subject basis. To the best of our knowledge, the results reported represent the most extensive set of estimates in the in vivo brain which have been based on MRE acquisition of the three-dimensional displacement field coupled to volumetric shear modulus image reconstruction achieved through nonlinear parameter estimation. However, the inter-subject variation in mean shear modulus indicates the need for further study, including the possibility of applying more advanced models to estimate the relevant tissue mechanical properties from the data.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20655045      PMCID: PMC2963725          DOI: 10.1016/j.jbiomech.2010.06.008

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  46 in total

1.  Three-dimensional subzone-based reconstruction algorithm for MR elastography.

Authors:  E E Van Houten; M I Miga; J B Weaver; F E Kennedy; K D Paulsen
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2.  Mechanical properties of brain tissue in-vivo: experiment and computer simulation.

Authors:  K Miller; K Chinzei; G Orssengo; P Bednarz
Journal:  J Biomech       Date:  2000-11       Impact factor: 2.712

3.  Visualization and quantification of breast cancer biomechanical properties with magnetic resonance elastography.

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4.  Large strain behaviour of brain tissue in shear: some experimental data and differential constitutive model.

Authors:  L E Bilston; Z Liu; N Phan-Thien
Journal:  Biorheology       Date:  2001       Impact factor: 1.875

5.  MR elastography of the prostate: initial in-vivo application.

Authors:  J Kemper; R Sinkus; J Lorenzen; C Nolte-Ernsting; A Stork; G Adam
Journal:  Rofo       Date:  2004-08

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Journal:  Arch Ital Biol       Date:  1968-09       Impact factor: 1.000

7.  Magnetic resonance elastography: non-invasive mapping of tissue elasticity.

Authors:  A Manduca; T E Oliphant; M A Dresner; J L Mahowald; S A Kruse; E Amromin; J P Felmlee; J F Greenleaf; R L Ehman
Journal:  Med Image Anal       Date:  2001-12       Impact factor: 8.545

8.  Proton magnetic resonance imaging and spectroscopy identify metabolic changes in the striatum in the MPTP feline model of parkinsonism.

Authors:  Michael Podell; Maria Hadjiconstantinou; Mark A Smith; Norton H Neff
Journal:  Exp Neurol       Date:  2003-02       Impact factor: 5.330

9.  Fluid-percussion model of mechanical brain injury in the cat.

Authors:  H G Sullivan; J Martinez; D P Becker; J D Miller; R Griffith; A O Wist
Journal:  J Neurosurg       Date:  1976-11       Impact factor: 5.115

10.  The impact of aging and gender on brain viscoelasticity.

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Journal:  Neuroimage       Date:  2009-03-10       Impact factor: 6.556

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  19 in total

1.  Frequency-dependent viscoelastic parameters of mouse brain tissue estimated by MR elastography.

Authors:  E H Clayton; J R Garbow; P V Bayly
Journal:  Phys Med Biol       Date:  2011-03-22       Impact factor: 3.609

2.  Including spatial information in nonlinear inversion MR elastography using soft prior regularization.

Authors:  Matthew McGarry; Curtis L Johnson; Bradley P Sutton; Elijah Ew Van Houten; John G Georgiadis; John B Weaver; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2013-06-17       Impact factor: 10.048

3.  Phantom evaluations of nonlinear inversion MR elastography.

Authors:  Ligin M Solamen; Matthew D McGarry; Likun Tan; John B Weaver; Keith D Paulsen
Journal:  Phys Med Biol       Date:  2018-07-19       Impact factor: 3.609

4.  Sample interval modulation for the simultaneous acquisition of displacement vector data in magnetic resonance elastography: theory and application.

Authors:  Dieter Klatt; Temel K Yasar; Thomas J Royston; Richard L Magin
Journal:  Phys Med Biol       Date:  2013-11-21       Impact factor: 3.609

5.  Spatially-resolved hydraulic conductivity estimation via poroelastic magnetic resonance elastography.

Authors:  Adam J Pattison; Matthew McGarry; John B Weaver; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2014-03-18       Impact factor: 10.048

6.  Brain mechanical property measurement using MRE with intrinsic activation.

Authors:  John B Weaver; Adam J Pattison; Matthew D McGarry; Irina M Perreard; Jessica G Swienckowski; Clifford J Eskey; S Scott Lollis; Keith D Paulsen
Journal:  Phys Med Biol       Date:  2012-10-18       Impact factor: 3.609

7.  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

8.  Measurements of mechanical anisotropy in brain tissue and implications for transversely isotropic material models of white matter.

Authors:  Yuan Feng; Ruth J Okamoto; Ravi Namani; Guy M Genin; Philip V Bayly
Journal:  J Mech Behav Biomed Mater       Date:  2013-04-17

Review 9.  Review of MR elastography applications and recent developments.

Authors:  Kevin J Glaser; Armando Manduca; Richard L Ehman
Journal:  J Magn Reson Imaging       Date:  2012-10       Impact factor: 4.813

10.  Selective spectral displacement projection for multifrequency MRE.

Authors:  Temel K Yasar; Dieter Klatt; Richard L Magin; Thomas J Royston
Journal:  Phys Med Biol       Date:  2013-08-02       Impact factor: 3.609

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