Magnetic Resonance Elastography (MRE) is an emerging imaging modality which seeks to recover high resolution maps of tissue mechanical properties. While the technique has been advanced considerably over the last several years and a number of promising clinical applications are now being investigated, almost all of the results produced to date have been based on the assumption that tissue is linearly elastic. However, it is generally accepted that many tissues do not respond as an isotropic linearly-elastic medium but rather exhibit more complex mechanical behaviors. Specifically, they can be more accurately represented by viscoelastic, anisotropic and nonlinear mechanical properties. As a result it seems critical to extend MRE methodology to account for these more complete and accurate mechanical property characterizations if the technique is to realize its full potential as an aid to diagnostic decision-making. The overall goal of the proposed project is to develop, validate and evaluate MRE methods for imaging the mechanical property parameters associated with conventional model descriptions of tissue as either a viscoelastic, an anisotropic or a nonlinear medium in terms of its mechanical response to the stimulus applied during MRE procedures.
The specific aims of the project are to (1) Develop the MR data acquisition techniques required to observe these complex mechanical effects in phantoms that possess the targeted behaviors, (2) Develop the algorithms for converting the MR displacement data into mechanical property estimates which characterize the phantom materials used, and (3) Validate these developments through a series of simulation and phantom experiments which (a) determine the accuracy, stability and uniqueness of the mechanical property estimation process, (b) optimize the trade-off between model complexity which accurately characterizes the motion (and mechanical properties) and model efficiency/stability which provides robustness when algorithms are applied to in vivo data, and (c) identify the magnitude of the inaccuracies in shear modulus estimation incurred by assumptions of linear elasticity when the medium exhibits more complex mechanical properties.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
1R01EB004632-01A1
Application #
7049685
Study Section
Special Emphasis Panel (ZRG1-SBIB-D (02))
Program Officer
Mclaughlin, Alan Charles
Project Start
2005-09-22
Project End
2009-07-31
Budget Start
2005-09-22
Budget End
2006-07-31
Support Year
1
Fiscal Year
2005
Total Cost
$305,385
Indirect Cost
Name
Dartmouth College
Department
Type
Schools of Engineering
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Johnson, Curtis L; Holtrop, Joseph L; McGarry, Matthew D J et al. (2014) 3D multislab, multishot acquisition for fast, whole-brain MR elastography with high signal-to-noise efficiency. Magn Reson Med 71:477-85
Johnson, Curtis L; McGarry, Matthew D J; Van Houten, Elijah E W et al. (2013) Magnetic resonance elastography of the brain using multishot spiral readouts with self-navigated motion correction. Magn Reson Med 70:404-12
Johnson, Curtis L; McGarry, Matthew D J; Gharibans, Armen A et al. (2013) Local mechanical properties of white matter structures in the human brain. Neuroimage 79:145-52
Weaver, John B; Pattison, Adam J; McGarry, Matthew D et al. (2012) Brain mechanical property measurement using MRE with intrinsic activation. Phys Med Biol 57:7275-87
McGarry, M D J; Van Houten, E E W; Perriñez, P R et al. (2011) An octahedral shear strain-based measure of SNR for 3D MR elastography. Phys Med Biol 56:N153-64
Van Houten, Elijah E W; Viviers, D vR; McGarry, M D J et al. (2011) Subzone based magnetic resonance elastography using a Rayleigh damped material model. Med Phys 38:1993-2004
Perriñez, Phillip R; Pattison, Adam J; Kennedy, Francis E et al. (2010) Contrast detection in fluid-saturated media with magnetic resonance poroelastography. Med Phys 37:3518-26
Pattison, A J; Lollis, S S; Perrinez, P R et al. (2010) Time-harmonic magnetic resonance elastography of the normal feline brain. J Biomech 43:2747-52
Perriñez, Phillip R; Kennedy, Francis E; Van Houten, Elijah E W et al. (2010) Magnetic resonance poroelastography: an algorithm for estimating the mechanical properties of fluid-saturated soft tissues. IEEE Trans Med Imaging 29:746-55
Perriñez, Phillip R; Kennedy, Francis E; Van Houten, Elijah E W et al. (2009) Modeling of soft poroelastic tissue in time-harmonic MR elastography. IEEE Trans Biomed Eng 56:598-608

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