Literature DB >> 19132758

Magnetic resonance elastography with a phased-array acoustic driver system.

Yogesh K Mariappan1, Phillip J Rossman, Kevin J Glaser, Armando Manduca, Richard L Ehman.   

Abstract

Dynamic MR elastography (MRE) quantitatively maps the stiffness of tissues by imaging propagating shear waves in the tissue. These waves can be produced from intrinsic motion sources (e.g., due to cardiac motion), from external motion sources that produce motion directly at depth in tissue (e.g., amplitude-modulated focused ultrasound), and from external actuators that produce motion at the tissue surface that propagates into the tissue. With external actuator setups, typically only a single transducer is used to create the shear waves, which in some applications might have limitations due to shadowing and attenuation of the waves. To address these limitations, a phased-array acoustic driver system capable of applying independently controlled waveforms to each channel was developed and tested. It was found that the system produced much more uniform illumination of the object, improving the quality of the elastogram. It was also found that the accuracy of the stiffness value of any arbitrary region of interest could be improved by obtaining maximal shear wave illumination with the phased array capability of the system.

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Year:  2009        PMID: 19132758      PMCID: PMC2929704          DOI: 10.1002/mrm.21885

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  11 in total

1.  Spatio-temporal directional filtering for improved inversion of MR elastography images.

Authors:  A Manduca; D S Lake; S A Kruse; R L Ehman
Journal:  Med Image Anal       Date:  2003-12       Impact factor: 8.545

2.  Rapid MR elastography using selective excitations.

Authors:  Kevin J Glaser; Joel P Felmlee; Richard L Ehman
Journal:  Magn Reson Med       Date:  2006-06       Impact factor: 4.668

3.  Magnetic resonance elastography with twin drivers for high homogeneity and sensitivity.

Authors:  Y Zheng; Q C C Chan; E S Yang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

4.  Elastography: a quantitative method for imaging the elasticity of biological tissues.

Authors:  J Ophir; I Céspedes; H Ponnekanti; Y Yazdi; X Li
Journal:  Ultrason Imaging       Date:  1991-04       Impact factor: 1.578

5.  Viscoelastic shear properties of in vivo breast lesions measured by MR elastography.

Authors:  Ralph Sinkus; Mickael Tanter; Tanja Xydeas; Stefan Catheline; Jeremy Bercoff; Mathias Fink
Journal:  Magn Reson Imaging       Date:  2005-02       Impact factor: 2.546

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

Authors:  R Muthupillai; D J Lomas; P J Rossman; J F Greenleaf; A Manduca; R L Ehman
Journal:  Science       Date:  1995-09-29       Impact factor: 47.728

7.  Magnetic resonance elastography: non-invasive mapping of tissue elasticity.

Authors:  A Manduca; T E Oliphant; M A Dresner; J L Mahowald; S A Kruse; E Amromin; J P Felmlee; J F Greenleaf; R L Ehman
Journal:  Med Image Anal       Date:  2001-12       Impact factor: 8.545

Review 8.  Contrast-enhanced MRI of the breast: accuracy, value, controversies, solutions.

Authors:  S H Heywang-Köbrunner; P Viehweg; A Heinig; C Küchler
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9.  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

10.  Non-invasive measurement of brain viscoelasticity using magnetic resonance elastography.

Authors:  Ingolf Sack; Bernd Beierbach; Uwe Hamhaber; Dieter Klatt; Jürgen Braun
Journal:  NMR Biomed       Date:  2008-03       Impact factor: 4.044

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  16 in total

1.  Magnetic Resonance Elastography.

Authors:  Daniel V Litwiller; Yogesh K Mariappan; Richard L Ehman
Journal:  Curr Med Imaging Rev       Date:  2012

2.  Characterization of a hyper-viscoelastic phantom mimicking biological soft tissue using an abdominal pneumatic driver with magnetic resonance elastography (MRE).

Authors:  Gwladys E Leclerc; Laëtitia Debernard; Félix Foucart; Ludovic Robert; Kay M Pelletier; Fabrice Charleux; Richard Ehman; Marie-Christine Ho Ba Tho; Sabine F Bensamoun
Journal:  J Biomech       Date:  2012-01-28       Impact factor: 2.712

3.  Estimation of the absolute shear stiffness of human lung parenchyma using (1) H spin echo, echo planar MR elastography.

Authors:  Yogesh K Mariappan; Kevin J Glaser; David L Levin; Robert Vassallo; Rolf D Hubmayr; Carl Mottram; Richard L Ehman; Kiaran P McGee
Journal:  J Magn Reson Imaging       Date:  2013-11-13       Impact factor: 4.813

Review 4.  Magnetic resonance elastography: a review.

Authors:  Yogesh K Mariappan; Kevin J Glaser; Richard L Ehman
Journal:  Clin Anat       Date:  2010-07       Impact factor: 2.414

5.  MAGPI: A framework for maximum likelihood MR phase imaging using multiple receive coils.

Authors:  Joseph Dagher; Kambiz Nael
Journal:  Magn Reson Med       Date:  2015-05-06       Impact factor: 4.668

6.  Time-harmonic magnetic resonance elastography of the normal feline brain.

Authors:  A J Pattison; S S Lollis; P R Perriñez; I M Perreard; M D J McGarry; J B Weaver; K D Paulsen
Journal:  J Biomech       Date:  2010-07-23       Impact factor: 2.712

7.  T2 relaxation time is related to liver fibrosis severity.

Authors:  Alexander R Guimaraes; Luiz Siqueira; Ritika Uppal; Jamu Alford; Bryan C Fuchs; Suguru Yamada; Kenneth Tanabe; Raymond T Chung; Gregory Lauwers; Michael L Chew; Giles W Boland; Duhyant V Sahani; Mark Vangel; Peter F Hahn; Peter Caravan
Journal:  Quant Imaging Med Surg       Date:  2016-04

8.  High-frequency mode conversion technique for stiff lesion detection with magnetic resonance elastography (MRE).

Authors:  Yogesh K Mariappan; Kevin J Glaser; Armando Manduca; Anthony J Romano; Sudhakar K Venkatesh; Meng Yin; Richard L Ehman
Journal:  Magn Reson Med       Date:  2009-12       Impact factor: 4.668

9.  MR phase imaging with bipolar acquisition.

Authors:  Joseph Dagher; Kambiz Nael
Journal:  NMR Biomed       Date:  2016-05-05       Impact factor: 4.044

10.  Slip Interface Imaging Predicts Tumor-Brain Adhesion in Vestibular Schwannomas.

Authors:  Ziying Yin; Kevin J Glaser; Armando Manduca; Jamie J Van Gompel; Michael J Link; Joshua D Hughes; Anthony Romano; Richard L Ehman; John Huston
Journal:  Radiology       Date:  2015-08-06       Impact factor: 11.105

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