Wide-range dynamic magnetic resonance elastography.

Tissue mechanical parameters have been shown to be highly sensitive to disease by elastography. Magnetic resonance elastography (MRE) in the human body relies on the low-dynamic range of tissue mechanics <100 Hz. In contrast, MRE suited for investigations of mice or small tissue samples requires vibration frequencies 10-20 times higher than those used in human MRE. The dispersion of the complex shear modulus (G(⁎)) prevents direct comparison of elastography data at different frequency bands and, consequently, frequency-independent viscoelastic models that fit to G(*) over a wide dynamic range have to be employed. This study presents data of G(*) of samples of agarose gel, liver, brain, and muscle measured by high-resolution MRE in a 7T-animal scanner at 200-800 Hz vibration frequency. Material constants μ and α according to the springpot model and related to shear elasticity and slope of the G(*)-dispersion were determined. Both μ and α of calf brain and bovine liver were found to be similar, while a sample of fibrotic human liver (METAVIR score of 3) displayed about fifteen times higher shear elasticity, similar to μ of bovine muscle measured in muscle fiber direction. α was the highest in fibrotic liver, followed by normal brain and liver, while muscle had the lowest α-values of all biological samples investigated in this study. As expected, the least G(*)-dispersion was seen in soft gel. The proposed technique of wide-range dynamic MRE can provide baseline data for both human MRE and high-dynamic MRE for better understanding tissue mechanics of different tissue structures.

[1]  B. Hamm,et al.  Viscoelasticity-based staging of hepatic fibrosis with multifrequency MR elastography. , 2010, Radiology.

[2]  Richard L. Magin,et al.  Microscopic magnetic resonance elastography (μMRE) , 2005 .

[3]  N. Phan-Thien,et al.  Linear viscoelastic properties of bovine brain tissue in shear. , 1997, Biorheology.

[4]  J. Ophir,et al.  Elastography: A Quantitative Method for Imaging the Elasticity of Biological Tissues , 1991, Ultrasonic imaging.

[5]  L. Bilston,et al.  On the viscoelastic character of liver tissue: experiments and modelling of the linear behaviour. , 2000, Biorheology.

[6]  Rémy Willinger,et al.  Magnetic resonance elastography compared with rotational rheometry for in vitro brain tissue viscoelasticity measurement , 2007, Magnetic Resonance Materials in Physics, Biology and Medicine.

[7]  D. Klatt,et al.  Anderson localization of shear waves observed by magnetic resonance imaging , 2010 .

[8]  Kenneth Hoyt,et al.  Quantitative sonoelastography for the in vivo assessment of skeletal muscle viscoelasticity , 2008, Physics in medicine and biology.

[9]  Thomas Deffieux,et al.  Shear Wave Spectroscopy for In Vivo Quantification of Human Soft Tissues Visco-Elasticity , 2009, IEEE Transactions on Medical Imaging.

[10]  H. Schiessel,et al.  Mesoscopic Pictures of the Sol-Gel Transition: Ladder Models and Fractal Networks , 1995 .

[11]  A. Manduca,et al.  Magnetic resonance elastography by direct visualization of propagating acoustic strain waves. , 1995, Science.

[12]  Dieter Klatt,et al.  Viscoelasticity-based MR elastography of skeletal muscle , 2010, Physics in medicine and biology.

[13]  S. Anantawaraskul,et al.  Polymer Analysis Polymer Theory , 2005 .

[14]  Christos Christidis,et al.  Noninvasive assessment of liver fibrosis by measurement of stiffness in patients with chronic hepatitis C , 2005, Hepatology.

[15]  Philip V Bayly,et al.  Measurement of the dynamic shear modulus of mouse brain tissue in vivo by magnetic resonance elastography. , 2008, Journal of biomechanical engineering.

[16]  Dieter Klatt,et al.  Viscoelastic properties of liver measured by oscillatory rheometry and multifrequency magnetic resonance elastography. , 2010, Biorheology.

[17]  Mathias Fink,et al.  Early detection of steatohepatitis in fatty rat liver by using MR elastography. , 2009, Radiology.

[18]  M. Fink,et al.  Viscoelastic and anisotropic mechanical properties of in vivo muscle tissue assessed by supersonic shear imaging. , 2010, Ultrasound in medicine & biology.

[19]  I. Sack,et al.  Algebraic Helmholtz inversion in planar magnetic resonance elastography , 2008, Physics in medicine and biology.

[20]  I. Sack [Magnetic resonance elastography]. , 2008, Deutsche medizinische Wochenschrift.

[21]  Dieter Klatt,et al.  The impact of aging and gender on brain viscoelasticity , 2009, NeuroImage.

[22]  Dieter Klatt,et al.  Assessment of liver viscoelasticity using multifrequency MR elastography , 2008, Magnetic resonance in medicine.

[23]  Mickael Tanter,et al.  MR elastography of breast lesions: Understanding the solid/liquid duality can improve the specificity of contrast‐enhanced MR mammography , 2007, Magnetic resonance in medicine.

[24]  A. Manduca,et al.  Assessment of hepatic fibrosis with magnetic resonance elastography. , 2007, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[25]  Jürgen Braun,et al.  Scatter-based magnetic resonance elastography , 2009, Physics in medicine and biology.

[26]  Ralph Sinkus,et al.  Liver fibrosis: noninvasive assessment with MR elastography versus aspartate aminotransferase-to-platelet ratio index. , 2007, Radiology.

[27]  P. Asbach,et al.  Noninvasive assessment of the rheological behavior of human organs using multifrequency MR elastography: a study of brain and liver viscoelasticity , 2007, Physics in medicine and biology.

[28]  Frauke Zipp,et al.  MR-elastography reveals degradation of tissue integrity in multiple sclerosis , 2010, NeuroImage.

[29]  Jürgen Braun,et al.  Two-dimensional waveform analysis in MR elastography of skeletal muscles , 2005, Physics in medicine and biology.

[30]  A. Maniatty,et al.  Shear modulus reconstruction in dynamic elastography: time harmonic case , 2006, Physics in medicine and biology.