Magnetic resonance elastography: Non-invasive mapping of tissue elasticity

By Armando Manduca, T. Oliphant, M. Dresner, J. L. Mahowald, S. Kruse, E. Amromin, J. Felmlee, J. Greenleaf, R. Ehman. Medical Image Anal., 2001

1,146 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/eb514df222daa3f66919319f8a918dbc59db0ca2

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In Biomedical Engineering

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

WFUMB guidelines and recommendations for clinical use of ultrasound elastography: Part 1: basic principles and terminology. (2015, methodology): “The first shear wave imaging methods to be developed employed external vibration to induce shear waves in tissues, with both ultrasonic (Sandrin et al., 2003) and MR imaging (Manduca et al., 2001; Sinkus et al., 2000a; Sinkus et al., 2005) methods used to monitor the wave propagation.”
A method of biological tissues elasticity reconstruction using magnetic resonance elastography measurements (2007, background): “The Poisson ratios σ and ˜ σ of the background and the anomaly are given in terms of the Lam´e parameters by It is known that in soft tissues, σ, ˜ σ ≈ 1 / 2, or equivalently, λ µ and ˜ λ ˜ µ [20, 29].”
Fractional calculus in viscoelasticity: An experimental study (2010, methodology): “In order to solve for these properties of soft biological tissue from known displacement information, dynamic elastography techniques, like Magnetic Resonance Elastography (MRE), employ a reconstruction algorithm [9–16].”
Magnetic resonance elastography of the brain (2008, methodology): “This technique requires the application of shear waves to tissue (with frequencies in the acoustic range), a phase-sensitive MR imaging sequence to detect the propagating waves and an algorithm to generate an elastic modulus map of the tissue of interest (Manduca et al., 2001).”
MAGNETIC RESONANCE ELASTOGRAPHY: A REVIEW (2010, methodology): “However, the effect of k can be simply neglected in some cases (if the excitation is primarily shear) or can be removed by filtering out longitudinal wave motion with bandpass filtering or curl filtering (Manduca et al., 2001).”
Spatio-temporal Directional Filtering for Improved Inversion of MR Elastography Images (2002, background): “This allows extraction of the harmonic component of motion at the frequency of interest, giving the amplitude and the phase (relative to an arbitrary zero point) of the displacement at each point in space [2].”
Model-based elastography: a survey of approaches to the inverse elasticity problem (2012, methodology): “However, the large difference in magnitude of shear modulus and the second Lamé coefficient (i.e. kPa for shear modulus and GPa) prevents simultaneous estimation of μ and λ; Manduca et al (2001) assumed that the divergence of the displacement vector in equation (8) was negligible (i.e. ∇ · u ≈ 0).”
Texture methods for evaluating meat and meat analogue structures: A review (2021, background): “Magnetic resonance elastography (MRE) is a phase-contrast-based MRI imaging technique that can directly visualize and quantitatively measure localised viscoelastic properties like elasticity and stiffness (Gruwel, Latta, Matwiy, & Tomanek, 2010; Manduca et al., 2001).”
Magnetic Resonance Elastography of Liver: Technique, Analysis and Clinical Applications (2013, methodology): “Several different types of inversion algorithms have been used, including spatial frequency estimation, and analytic solutions to the wave equation (34,35).”