Brain mechanical property measurement using MRE with intrinsic activation

Many pathologies alter the mechanical properties of tissue. Magnetic resonance elastography (MRE) has been developed to noninvasively characterize these quantities in vivo. Typically, small vibrations are induced in the tissue of interest with an external mechanical actuator. The resulting displacements are measured with phase contrast sequences and are then used to estimate the underlying mechanical property distribution. Several MRE studies have quantified brain tissue properties. However, the cranium and meninges, especially the dura, are very effective at damping externally applied vibrations from penetrating deeply into the brain. Here, we report a method, termed 'intrinsic activation', that eliminates the requirement for external vibrations by measuring the motion generated by natural blood vessel pulsation. A retrospectively gated phase contrast MR angiography sequence was used to record the tissue velocity at eight phases of the cardiac cycle. The velocities were numerically integrated via the Fourier transform to produce the harmonic displacements at each position within the brain. The displacements were then reconstructed into images of the shear modulus based on both linear elastic and poroelastic models. The mechanical properties produced fall within the range of brain tissue estimates reported in the literature and, equally important, the technique yielded highly reproducible results. The mean shear modulus was 8.1 kPa for linear elastic reconstructions and 2.4 kPa for poroelastic reconstructions where fluid pressure carries a portion of the stress. Gross structures of the brain were visualized, particularly in the poroelastic reconstructions. Intra-subject variability was significantly less than the inter-subject variability in a study of six asymptomatic individuals. Further, larger changes in mechanical properties were observed in individuals when examined over time than when the MRE procedures were repeated on the same day. Cardiac pulsation, termed intrinsic activation, produces sufficient motion to allow mechanical properties to be recovered. The poroelastic model is more consistent with the measured data from brain at low frequencies than the linear elastic model. Intrinsic activation allows MRE to be performed without a device shaking the head so the patient notices no differences between it and the other sequences in an MR examination.

[1]  Francis A. Duck,et al.  Physical properties of tissue : a comprehensive reference book , 1990 .

[2]  K J Parker,et al.  Tissue response to mechanical vibrations for "sonoelasticity imaging". , 1990, Ultrasound in medicine & biology.

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

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

[5]  R. Ehman,et al.  Magnetic resonance elastography , 1996, Nature Medicine.

[6]  B. Garra,et al.  Elastography of breast lesions: initial clinical results. , 1997, Radiology.

[7]  K D Paulsen,et al.  An overlapping subzone technique for MR‐based elastic property reconstruction , 1999, Magnetic resonance in medicine.

[8]  R. Sinkus,et al.  High-resolution tensor MR elastography for breast tumour detection. , 2000, Physics in medicine and biology.

[9]  K D Paulsen,et al.  Three‐dimensional subzone‐based reconstruction algorithm for MR elastography , 2001, Magnetic resonance in medicine.

[10]  G. H. Rose,et al.  Magnetic resonance elastography of skeletal muscle , 2001, Journal of magnetic resonance imaging : JMRI.

[11]  K D Paulsen,et al.  Magnetic resonance elastography using 3D gradient echo measurements of steady-state motion. , 2001, Medical physics.

[12]  A. Manduca,et al.  MR elastography of breast cancer: preliminary results. , 2002, AJR. American journal of roentgenology.

[13]  K. Paulsen,et al.  Thresholds for detecting and characterizing focal lesions using steady-state MR elastography. , 2003, Medical physics.

[14]  R Sinkus,et al.  MR elastography of the prostate: initial in-vivo application. , 2004, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.

[15]  John B Weaver,et al.  Imaging the shear modulus of the heel fat pads. , 2005, Clinical biomechanics.

[16]  Richard L Ehman,et al.  MR elastography of the liver: preliminary results. , 2006, Radiology.

[17]  G. Holzapfel,et al.  Brain tissue deforms similarly to filled elastomers and follows consolidation theory , 2006 .

[18]  Dieter Klatt,et al.  Fractional encoding of harmonic motions in MR elastography , 2007, Magnetic resonance in medicine.

[19]  I. Sack,et al.  Phase preparation in steady-state free precession MR elastography. , 2008, Magnetic resonance imaging.

[20]  Ralph Sinkus,et al.  In vivo brain viscoelastic properties measured by magnetic resonance elastography , 2008, NMR in biomedicine.

[21]  R. Ehman,et al.  MR elastography of liver tumors: preliminary results. , 2008, AJR. American journal of roentgenology.

[22]  Clifford R. Jack,et al.  Magnetic resonance elastography of the brain , 2008, NeuroImage.

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

[24]  Peter Boesiger,et al.  3D cine displacement‐encoded MRI of pulsatile brain motion , 2009, Magnetic resonance in medicine.

[25]  Keith D. Paulsen,et al.  Modeling of Soft Poroelastic Tissue in Time-Harmonic MR Elastography , 2009, IEEE Transactions on Biomedical Engineering.

[26]  Keith D. Paulsen,et al.  Magnetic Resonance Poroelastography: An Algorithm for Estimating the Mechanical Properties of Fluid-Saturated Soft Tissues , 2010, IEEE Transactions on Medical Imaging.

[27]  K D Paulsen,et al.  Time-harmonic magnetic resonance elastography of the normal feline brain. , 2010, Journal of biomechanics.

[28]  C. Jack,et al.  Decreased brain stiffness in Alzheimer's disease determined by magnetic resonance elastography , 2011, Journal of magnetic resonance imaging : JMRI.

[29]  Dieter Klatt,et al.  In vivo viscoelastic properties of the brain in normal pressure hydrocephalus , 2010, NMR in biomedicine.