Literature DB >> 23001771

Magnetic resonance elastography of the brain using multishot spiral readouts with self-navigated motion correction.

Curtis L Johnson1, Matthew D J McGarry, Elijah E W Van Houten, John B Weaver, Keith D Paulsen, Bradley P Sutton, John G Georgiadis.   

Abstract

Magnetic resonance elastography (MRE) has been introduced in clinical practice as a possible surrogate for mechanical palpation, but its application to study the human brain in vivo has been limited by low spatial resolution and the complexity of the inverse problem associated with biomechanical property estimation. Here, we report significant improvements in brain MRE data acquisition by reporting images with high spatial resolution and signal-to-noise ratio as quantified by octahedral shear strain metrics. Specifically, we have developed a sequence for brain MRE based on multishot, variable-density spiral imaging, and three-dimensional displacement acquisition and implemented a correction scheme for any resulting phase errors. A Rayleigh damped model of brain tissue mechanics was adopted to represent the parenchyma and was integrated via a finite element-based iterative inversion algorithm. A multiresolution phantom study demonstrates the need for obtaining high-resolution MRE data when estimating focal mechanical properties. Measurements on three healthy volunteers demonstrate satisfactory resolution of gray and white matter, and mechanical heterogeneities correspond well with white matter histoarchitecture. Together, these advances enable MRE scans that result in high-fidelity, spatially resolved estimates of in vivo brain tissue mechanical properties, improving upon lower resolution MRE brain studies that only report volume averaged stiffness values.
© 2012 Wiley Periodicals, Inc.

Entities:  

Keywords:  Rayleigh damping; brain; high-resolution; magnetic resonance elastography; multishot; phase error; spiral

Mesh:

Year:  2012        PMID: 23001771      PMCID: PMC3529970          DOI: 10.1002/mrm.24473

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  47 in total

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

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3.  New insight into agarose gel mechanical properties.

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4.  Magnetic resonance elastography: a method for the noninvasive and spatially resolved observation of phase transitions in gels.

Authors:  I Sack; G Buntkowsky; J Bernarding; J Braun
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5.  A global optimisation method for robust affine registration of brain images.

Authors:  M Jenkinson; S Smith
Journal:  Med Image Anal       Date:  2001-06       Impact factor: 8.545

6.  Influence of thermal history on the structural and mechanical properties of agarose gels.

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Journal:  Biopolymers       Date:  2001-09       Impact factor: 2.505

7.  In vivo waveguide elastography of white matter tracts in the human brain.

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Journal:  Magn Reson Med       Date:  2012-01-17       Impact factor: 4.668

8.  High-resolution tensor MR elastography for breast tumour detection.

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9.  Regional, directional, and age-dependent properties of the brain undergoing large deformation.

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Review 10.  Fast robust automated brain extraction.

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  45 in total

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Authors:  Andreas Fehlner; Sebastian Papazoglou; Matthew D McGarry; Keith D Paulsen; Jing Guo; Kaspar-Josche Streitberger; Sebastian Hirsch; Jürgen Braun; Ingolf Sack
Journal:  NMR Biomed       Date:  2015-09-16       Impact factor: 4.044

2.  Double dissociation of structure-function relationships in memory and fluid intelligence observed with magnetic resonance elastography.

Authors:  Curtis L Johnson; Hillary Schwarb; Kevin M Horecka; Matthew D J McGarry; Charles H Hillman; Arthur F Kramer; Neal J Cohen; Aron K Barbey
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3.  The Relationship of Three-Dimensional Human Skull Motion to Brain Tissue Deformation in Magnetic Resonance Elastography Studies.

Authors:  Andrew A Badachhape; Ruth J Okamoto; Ramona S Durham; Brent D Efron; Sam J Nadell; Curtis L Johnson; Philip V Bayly
Journal:  J Biomech Eng       Date:  2017-05-01       Impact factor: 2.097

4.  Reliable preparation of agarose phantoms for use in quantitative magnetic resonance elastography.

Authors:  Grace McIlvain; Elahe Ganji; Catherine Cooper; Megan L Killian; Babatunde A Ogunnaike; Curtis L Johnson
Journal:  J Mech Behav Biomed Mater       Date:  2019-05-03

5.  Suitability of poroelastic and viscoelastic mechanical models for high and low frequency MR elastography.

Authors:  M D J McGarry; C L Johnson; B P Sutton; J G Georgiadis; E E W Van Houten; A J Pattison; J B Weaver; K D Paulsen
Journal:  Med Phys       Date:  2015-02       Impact factor: 4.071

6.  Analytical solution for converging elliptic shear wave in a bounded transverse isotropic viscoelastic material with nonhomogeneous outer boundary.

Authors:  Martina Guidetti; Thomas J Royston
Journal:  J Acoust Soc Am       Date:  2018-10       Impact factor: 1.840

7.  Multiresolution MR elastography using nonlinear inversion.

Authors:  M D J McGarry; E E W Van Houten; C L Johnson; J G Georgiadis; B P Sutton; J B Weaver; K D Paulsen
Journal:  Med Phys       Date:  2012-10       Impact factor: 4.071

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

Review 9.  Stiffness and Beyond: What MR Elastography Can Tell Us About Brain Structure and Function Under Physiologic and Pathologic Conditions.

Authors:  Ziying Yin; Anthony J Romano; Armando Manduca; Richard L Ehman; John Huston
Journal:  Top Magn Reson Imaging       Date:  2018-10

10.  Long-term in vivo imaging of viscoelastic properties of the mouse brain after controlled cortical impact.

Authors:  Thomas Boulet; Matthew L Kelso; Shadi F Othman
Journal:  J Neurotrauma       Date:  2013-08-01       Impact factor: 5.269

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