Literature DB >> 7569924

Magnetic resonance elastography by direct visualization of propagating acoustic strain waves.

R Muthupillai1, D J Lomas, P J Rossman, J F Greenleaf, A Manduca, R L Ehman.   

Abstract

A nuclear magnetic resonance imaging (MRI) method is presented for quantitatively mapping the physical response of a material to harmonic mechanical excitation. The resulting images allow calculation of regional mechanical properties. Measurements of shear modulus obtained with the MRI technique in gel materials correlate with independent measurements of static shear modulus. The results indicate that displacement patterns corresponding to cyclic displacements smaller than 200 nanometers can be measured. The findings suggest the feasibility of a medical imaging technique for delineating elasticity and other mechanical properties of tissue.

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Year:  1995        PMID: 7569924     DOI: 10.1126/science.7569924

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  492 in total

1.  Maximum-likelihood approach to strain imaging using ultrasound

Authors: 
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2.  Vibro-acoustography: an imaging modality based on ultrasound-stimulated acoustic emission.

Authors:  M Fatemi; J F Greenleaf
Journal:  Proc Natl Acad Sci U S A       Date:  1999-06-08       Impact factor: 11.205

3.  Linear and nonlinear elastic modulus imaging: an application to breast cancer diagnosis.

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7.  Static and dynamic liver stiffness: An ex vivo porcine liver study using MR elastography.

Authors:  Chun Yang; Meng Yin; Kevin J Glaser; Xiangyang Zhu; Kai Xu; Richard L Ehman; Jun Chen
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Review 8.  Elastography techniques in the evaluation of deep vein thrombosis.

Authors:  Peter Hoang; Alex Wallace; Mark Sugi; Andrew Fleck; Yash Pershad; Nirvikar Dahiya; Hassan Albadawi; Grace Knuttinen; Sailendra Naidu; Rahmi Oklu
Journal:  Cardiovasc Diagn Ther       Date:  2017-12

9.  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

10.  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

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