Journal Article10.1109/TMI.2004.842451
A three-parameter mechanical property reconstruction method for MR-based elastic property imaging
32
TL;DR: Though results indicate significant work needs to be done to achieve effective multiparameter reconstructive imaging, the methods detailed here offer the promise of increased flexibility and sophistication in elastographic imaging techniques.
read more
Abstract: A reconstruction process featuring full parameterization of the three dimensional, time-harmonic equations of linear elasticity is developed and reconstructed property images are presented from simulation-based investigation. While interesting in its own right through the potential for increased adaptability of these reconstructive elastic imaging techniques, this study also presents a set of analysis tools used to study the poor convergence behavior found in the case of tissue like conditions (i.e. nearly incompressible materials). The choice of elastic properties for imaging in elastography research remains an open question at this point; the use of the stability and sensitivity-based analytical methods described here will help to predict and understand the value and reliability of different parameterizations of elasticity imaging. Additionally, though results indicate significant work needs to be done to achieve effective multiparameter reconstructive imaging, the methods detailed here offer the promise of increased flexibility and sophistication in elastographic imaging techniques.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Fractional calculus in viscoelasticity: An experimental study
TL;DR: In this article, the authors compared fractional and integer order models to describe the viscoelastic properties of soft biological tissue-like materials under harmonic mechanical loading, and found that fractional order models can represent the more complicated rate dependency of material behavior of biological tissues over a broad spectral range.
599
Multiresolution MR elastography using nonlinear inversion
Matthew D. J. McGarry,E.E.W. Van Houten,Curtis L. Johnson,John G. Georgiadis,Bradley P. Sutton,John B. Weaver,Keith D. Paulsen +6 more
TL;DR: Multiresolution NLI elastography provides a more flexible framework for mechanical property estimation compared to previous single mesh implementations.
Suitability of poroelastic and viscoelastic mechanical models for high and low frequency MR elastography
Matthew D. J. McGarry,Curtis L. Johnson,Bradley P. Sutton,John G. Georgiadis,E.E.W. Van Houten,Adam J. Pattison,John B. Weaver,Keith D. Paulsen +7 more
TL;DR: VE inversions are simpler with fewer unknown properties and may be sufficient to capture the mechanical behavior of PE brain tissue at higher actuation frequencies, however, accurate modeling of the fluid phase is required to produce useful mechanical property images at the lower frequencies of intrinsic brain motions.
77
Stiffness reconstruction methods for MR elastography.
TL;DR: Many current MRE reconstruction methods are reviewed, including inversion type, underlying assumptions, and their use in human and animal studies, and future directions, such as alternative material assumptions, are also discussed.
68
Subzone based magnetic resonance elastography using a Rayleigh damped material model.
Elijah E. W. Van Houten,D. vR. Viviers,Matthew D. J. McGarry,P. R. Perrinez,I. I. Perreard,John B. Weaver,Keith D. Paulsen +6 more
TL;DR: It is possible that Rayleigh damping elastography and the concomitant Rayleigh composition images provide a mechanism for differentiating tissue structure in addition to measuring elastic stiffness and attenuation.
References
Elastography: A Quantitative Method for Imaging the Elasticity of Biological Tissues
TL;DR: Initial results of several phantom and excised animal tissue experiments are reported which demonstrate the ability of this technique to quantitatively image strain and elastic modulus distributions with good resolution, sensitivity and with diminished speckle.
3.8K
Magnetic resonance elastography by direct visualization of propagating acoustic strain waves
Raja Muthupillai,D. J. Lomas,Phillip J. Rossman,James F. Greenleaf,Armando Manduca,Richard L. Ehman +5 more
TL;DR: The results indicate that displacement patterns corresponding to cyclic displacements smaller than 200 nanometers can be measured and suggest the feasibility of a medical imaging technique for delineating elasticity and other mechanical properties of tissue.
2.1K
Elastic Moduli of Breast and Prostate Tissues under Compression
TL;DR: To evaluate the dynamic range of tissue imaged by elastography, the mechanical behavior of breast and prostate tissue samples subject to compression loading has been investigated and the data show that breast fat tissue has a constant modulus over the strain range tested while the other tissues have a modulus that is dependent on the strain level.
1.8K
Magnetic resonance elastography: Non-invasive mapping of tissue elasticity
Armando Manduca,Travis E. Oliphant,M. A. Dresner,J. L. Mahowald,Scott A. Kruse,E. Amromin,Joel P. Felmlee,James F. Greenleaf,Richard L. Ehman +8 more
TL;DR: Magnetic resonance elastography shows promise as a potential technique for 'palpation by imaging', with possible applications in tumor detection, characterization of disease, and assessment of rehabilitation (particularly in muscle).
1.1K
“Sonoelasticity” images derived from ultrasound signals in mechanically vibrated tissues
TL;DR: Preliminary experiments indicate that these novel images may be useful for detecting hard tumors in the prostate, liver, breast, and other organs.
598