Literature DB >> 18238703

Evaluation of a material parameter extraction algorithm using MRI-based displacement measurements.

A J Romano1, J A Bucaro, R L Ehnan, J J Shirron.   

Abstract

The performance of an inversion algorithm is investigated when applied to measured displacement data for a determination of the material parameters /sup /spl lambda/+2/spl mu////sub /spl rho// (longitudinal wave velocity squared) and /sup /spl mu////sub /spl rho// (shear wave velocity squared) throughout an inhomogeneous test phantom. The vector displacement components throughout a test phantom subject to monochromatic shear excitation measured in time using magnetic resonance imaging (MRI) were temporally Fourier transformed to extract the component of monochromatic excitation, and the data was delivered to the inversion algorithm. A series of inversions is presented demonstrating the effects of subsequent wavenumber filtering, polarization selection, and variation in the size of the incremental volume elements. The resulting performance is assessed, and recommendations for future efforts are discussed.

Entities:  

Year:  2000        PMID: 18238703     DOI: 10.1109/58.883546

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  25 in total

1.  Decreased brain stiffness in Alzheimer's disease determined by magnetic resonance elastography.

Authors:  Matthew C Murphy; John Huston; Clifford R Jack; Kevin J Glaser; Armando Manduca; Joel P Felmlee; Richard L Ehman
Journal:  J Magn Reson Imaging       Date:  2011-07-12       Impact factor: 4.813

2.  Surface response of a fractional order viscoelastic halfspace to surface and subsurface sources.

Authors:  F Can Meral; Thomas J Royston; Richard L Magin
Journal:  J Acoust Soc Am       Date:  2009-12       Impact factor: 1.840

3.  Measurement of the dynamic shear modulus of mouse brain tissue in vivo by magnetic resonance elastography.

Authors:  Stefan M Atay; Christopher D Kroenke; Arash Sabet; Philip V Bayly
Journal:  J Biomech Eng       Date:  2008-04       Impact factor: 2.097

4.  Rayleigh-Lamb wave propagation on a fractional order viscoelastic plate.

Authors:  F Can Meral; Thomas J Royston; Richard L Magin
Journal:  J Acoust Soc Am       Date:  2011-02       Impact factor: 1.840

5.  Prediction of nonalcoholic fatty liver disease (NAFLD) activity score (NAS) with multiparametric hepatic magnetic resonance imaging and elastography.

Authors:  Ziying Yin; Matthew C Murphy; Jiahui Li; Kevin J Glaser; Amy S Mauer; Taofic Mounajjed; Terry M Therneau; Heshan Liu; Harmeet Malhi; Armando Manduca; Richard L Ehman; Meng Yin
Journal:  Eur Radiol       Date:  2019-03-18       Impact factor: 5.315

6.  Gradient-Based Optimization for Poroelastic and Viscoelastic MR Elastography.

Authors:  Likun Tan; Matthew D J McGarry; Elijah E W Van Houten; Ming Ji; Ligin Solamen; John B Weaver; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2016-08-31       Impact factor: 10.048

Review 7.  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

8.  Magnetomotive nanoparticle transducers for optical rheology of viscoelastic materials.

Authors:  Vasilica Crecea; Amy L Oldenburg; Xing Liang; Tyler S Ralston; Stephen A Boppart
Journal:  Opt Express       Date:  2009-12-07       Impact factor: 3.894

Review 9.  Magnetic resonance elastography (MRE) in cancer: Technique, analysis, and applications.

Authors:  Kay M Pepin; Richard L Ehman; Kiaran P McGee
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2015-06-23       Impact factor: 9.795

10.  Shear modulus decomposition algorithm in magnetic resonance elastography.

Authors:  Oh In Kwon; Chunjae Park; Hyun Soo Nam; Eung Je Woo; Jin Keun Seo; K J Glaser; A Manduca; R L Ehman
Journal:  IEEE Trans Med Imaging       Date:  2009-10       Impact factor: 10.048

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