Literature DB >> 23079508

Brain mechanical property measurement using MRE with intrinsic activation.

John B Weaver1, Adam J Pattison, Matthew D McGarry, Irina M Perreard, Jessica G Swienckowski, Clifford J Eskey, S Scott Lollis, Keith D Paulsen.   

Abstract

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.

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Year:  2012        PMID: 23079508      PMCID: PMC3797022          DOI: 10.1088/0031-9155/57/22/7275

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  27 in total

1.  An overlapping subzone technique for MR-based elastic property reconstruction.

Authors:  E E Van Houten; K D Paulsen; M I Miga; F E Kennedy; J B Weaver
Journal:  Magn Reson Med       Date:  1999-10       Impact factor: 4.668

2.  Fractional encoding of harmonic motions in MR elastography.

Authors:  Jens Rump; Dieter Klatt; Jürgen Braun; Carsten Warmuth; Ingolf Sack
Journal:  Magn Reson Med       Date:  2007-02       Impact factor: 4.668

3.  Phase preparation in steady-state free precession MR elastography.

Authors:  Jens Rump; Carsten Warmuth; Jürgen Braun; Ingolf Sack
Journal:  Magn Reson Imaging       Date:  2007-12-11       Impact factor: 2.546

4.  Magnetic resonance elastography of the brain.

Authors:  Scott A Kruse; Gregory H Rose; Kevin J Glaser; Armando Manduca; Joel P Felmlee; Clifford R Jack; Richard L Ehman
Journal:  Neuroimage       Date:  2007-08-29       Impact factor: 6.556

5.  3D cine displacement-encoded MRI of pulsatile brain motion.

Authors:  Michaela Soellinger; Andrea K Rutz; Sebastian Kozerke; Peter Boesiger
Journal:  Magn Reson Med       Date:  2009-01       Impact factor: 4.668

6.  In vivo brain viscoelastic properties measured by magnetic resonance elastography.

Authors:  Michael A Green; Lynne E Bilston; Ralph Sinkus
Journal:  NMR Biomed       Date:  2008-08       Impact factor: 4.044

Review 7.  Magnetic resonance elastography.

Authors:  R Muthupillai; R L Ehman
Journal:  Nat Med       Date:  1996-05       Impact factor: 53.440

8.  MR elastography of the liver: preliminary results.

Authors:  Olivier Rouvière; Meng Yin; M Alex Dresner; Phillip J Rossman; Lawrence J Burgart; Jeff L Fidler; Richard L Ehman
Journal:  Radiology       Date:  2006-08       Impact factor: 11.105

9.  Modeling of soft poroelastic tissue in time-harmonic MR elastography.

Authors:  Phillip R Perriñez; Francis E Kennedy; Elijah E W Van Houten; John B Weaver; Keith D Paulsen
Journal:  IEEE Trans Biomed Eng       Date:  2008-12-02       Impact factor: 4.538

10.  MR elastography of liver tumors: preliminary results.

Authors:  Sudhakar K Venkatesh; Meng Yin; James F Glockner; Naoki Takahashi; Philip A Araoz; Jayant A Talwalkar; Richard L Ehman
Journal:  AJR Am J Roentgenol       Date:  2008-06       Impact factor: 3.959

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  33 in total

1.  Cerebral multifrequency MR elastography by remote excitation of intracranial shear waves.

Authors:  Andreas Fehlner; Sebastian Papazoglou; Matthew D McGarry; Keith D Paulsen; Jing Guo; Kaspar-Josche Streitberger; Sebastian Hirsch; Jürgen Braun; Ingolf Sack
Journal:  NMR Biomed       Date:  2015-09-16       Impact factor: 4.044

2.  Brain palpation from physiological vibrations using MRI.

Authors:  Ali Zorgani; Rémi Souchon; Au-Hoang Dinh; Jean-Yves Chapelon; Jean-Michel Ménager; Samir Lounis; Olivier Rouvière; Stefan Catheline
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-05       Impact factor: 11.205

3.  Ultrasound elastography: the new frontier in direct measurement of muscle stiffness.

Authors:  Joline E Brandenburg; Sarah F Eby; Pengfei Song; Heng Zhao; Jeffrey S Brault; Shigao Chen; Kai-Nan An
Journal:  Arch Phys Med Rehabil       Date:  2014-07-24       Impact factor: 3.966

4.  Suitability of poroelastic and viscoelastic mechanical models for high and low frequency MR elastography.

Authors:  M D J McGarry; C L Johnson; B P Sutton; J G Georgiadis; E E W Van Houten; A J Pattison; J B Weaver; K D Paulsen
Journal:  Med Phys       Date:  2015-02       Impact factor: 4.071

5.  Cardiac-gated steady-state multifrequency magnetic resonance elastography of the brain: Effect of cerebral arterial pulsation on brain viscoelasticity.

Authors:  Felix Schrank; Carsten Warmuth; Heiko Tzschätzsch; Bernhard Kreft; Sebastian Hirsch; Jürgen Braun; Thomas Elgeti; Ingolf Sack
Journal:  J Cereb Blood Flow Metab       Date:  2019-05-29       Impact factor: 6.200

Review 6.  Optical coherence elastography - OCT at work in tissue biomechanics [Invited].

Authors:  Kirill V Larin; David D Sampson
Journal:  Biomed Opt Express       Date:  2017-01-27       Impact factor: 3.732

7.  Perfusion alters stiffness of deep gray matter.

Authors:  Stefan Hetzer; Patric Birr; Andreas Fehlner; Sebastian Hirsch; Florian Dittmann; Eric Barnhill; Jürgen Braun; Ingolf Sack
Journal:  J Cereb Blood Flow Metab       Date:  2017-02-02       Impact factor: 6.200

8.  Revealing sub-voxel motions of brain tissue using phase-based amplified MRI (aMRI).

Authors:  Itamar Terem; Wendy W Ni; Maged Goubran; Mahdi Salmani Rahimi; Greg Zaharchuk; Kristen W Yeom; Michael E Moseley; Mehmet Kurt; Samantha J Holdsworth
Journal:  Magn Reson Med       Date:  2018-05-30       Impact factor: 4.668

Review 9.  Stiffness and Beyond: What MR Elastography Can Tell Us About Brain Structure and Function Under Physiologic and Pathologic Conditions.

Authors:  Ziying Yin; Anthony J Romano; Armando Manduca; Richard L Ehman; John Huston
Journal:  Top Magn Reson Imaging       Date:  2018-10

10.  A longitudinal magnetic resonance elastography study of murine brain tumors following radiation therapy.

Authors:  Y Feng; E H Clayton; R J Okamoto; J Engelbach; P V Bayly; J R Garbow
Journal:  Phys Med Biol       Date:  2016-07-27       Impact factor: 3.609

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