Literature DB >> 10502768

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

E E Van Houten1, K D Paulsen, M I Miga, F E Kennedy, J B Weaver.   

Abstract

A finite element-based nonlinear inversion scheme for magnetic resonance (MR) elastography is detailed. The algorithm operates on small overlapping subzones of the total region of interest, processed in a hierarchical order as determined by progressive error minimization. This zoned approach allows for a high degree of spatial discretization, taking advantage of the data-rich environment afforded by the MR. The inversion technique is tested in simulation under high-noise conditions (15% random noise applied to the displacement data) with both complicated user-defined stiffness distributions and realistic tissue geometries obtained by thresholding MR image slices. In both cases the process has proved successful and has been capable of discerning small inclusions near 4 mm in diameter. Magn Reson Med 42:779-786, 1999. Copyright 1999 Wiley-Liss, Inc.

Mesh:

Year:  1999        PMID: 10502768     DOI: 10.1002/(sici)1522-2594(199910)42:4<779::aid-mrm21>3.0.co;2-z

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


  44 in total

1.  The performance of steady-state harmonic magnetic resonance elastography when applied to viscoelastic materials.

Authors:  Marvin M Doyley; Irina Perreard; Adam J Patterson; John B Weaver; Keith M Paulsen
Journal:  Med Phys       Date:  2010-08       Impact factor: 4.071

2.  Magnetic Resonance Elastography.

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

3.  Effects of frequency- and direction-dependent elastic materials on linearly elastic MRE image reconstructions.

Authors:  I M Perreard; A J Pattison; M Doyley; M D J McGarry; Z Barani; E E Van Houten; J B Weaver; K D Paulsen
Journal:  Phys Med Biol       Date:  2010-10-28       Impact factor: 3.609

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

Review 5.  Pre-clinical MR elastography: Principles, techniques, and applications.

Authors:  P V Bayly; J R Garbow
Journal:  J Magn Reson       Date:  2018-04-26       Impact factor: 2.229

6.  Optimized motion estimation for MRE data with reduced motion encodes.

Authors:  Huifang Wang; John B Weaver; Marvin M Doyley; Francis E Kennedy; Keith D Paulsen
Journal:  Phys Med Biol       Date:  2008-04-03       Impact factor: 3.609

7.  Subzone based magnetic resonance elastography using a Rayleigh damped material model.

Authors:  Elijah E W Van Houten; D vR Viviers; M D J McGarry; P R Perriñez; I I Perreard; J B Weaver; K D Paulsen
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

Review 8.  Magnetic resonance elastography: a general overview of its current and future applications in brain imaging.

Authors:  Antonio Di Ieva; Fabio Grizzi; Elisa Rognone; Zion Tsz Ho Tse; Tassanai Parittotokkaporn; Ferdinando Rodriguez Y Baena; Manfred Tschabitscher; Christian Matula; Siegfrid Trattnig; Riccardo Rodriguez Y Baena
Journal:  Neurosurg Rev       Date:  2010-02-27       Impact factor: 3.042

9.  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

Review 10.  Advances and Future Direction of Magnetic Resonance Elastography.

Authors:  Huiming Dong; Richard D White; Arunark Kolipaka
Journal:  Top Magn Reson Imaging       Date:  2018-10
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