Literature DB >> 31825863

Nonlinear Inversion MR Elastography With Low-Frequency Actuation.

Wei Zeng, Scott W Gordon-Wylie, Likun Tan, Ligin Solamen, Matthew D J McGarry, John B Weaver, Keith D Paulsen.   

Abstract

Magnetic resonance elastography (MRE) has been developed to noninvasively reconstruct mechanical properties for tissue and tissue-like materials over a frequency range of 10 ~200 Hz. In this work, low frequency (1~1.5 Hz) MRE activations were employed to estimate mechanical property distributions of simulated data and experimental phantoms. Nonlinear inversion (NLI) MRE algorithms based on viscoelastic and poroelastic material models were used to solve the inverse problems and recover images of the shear modulus and hydraulic conductivity. Data from a simulated phantom containing an inclusion with property contrast was carried out to study the feasibility of our low frequency actuated approach. To verify the stability of NLI algorithms for low frequency actuation, different levels of synthetic noise were added to the displacement data. Spatial distributions and property values were recovered well for noise level less than 5%. For the presented experimental phantom reconstructions with regularizations, the computed storage moduli from viscoelastic and poroelastic MRE gave similar results. Contrast was detected between inclusions and background in recovered hydraulic conductivity images. Results and findings confirm the feasibility of future in vivo neuroimaging examinations using natural cerebrovascular pulsations at cardiac frequencies, which can eliminate specialized equipment for high frequency actuation.

Entities:  

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Year:  2019        PMID: 31825863      PMCID: PMC7313386          DOI: 10.1109/TMI.2019.2958212

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  47 in total

1.  Three-dimensional subzone-based reconstruction algorithm for MR elastography.

Authors:  E E Van Houten; M I Miga; J B Weaver; F E Kennedy; K D Paulsen
Journal:  Magn Reson Med       Date:  2001-05       Impact factor: 4.668

2.  Enhancing the performance of model-based elastography by incorporating additional a priori information in the modulus image reconstruction process.

Authors:  Marvin M Doyley; Seshadri Srinivasan; Eugene Dimidenko; Nirmal Soni; Jonathan Ophir
Journal:  Phys Med Biol       Date:  2005-12-15       Impact factor: 3.609

3.  Noninvasive assessment of the rheological behavior of human organs using multifrequency MR elastography: a study of brain and liver viscoelasticity.

Authors:  Dieter Klatt; Uwe Hamhaber; Patrick Asbach; Jürgen Braun; Ingolf Sack
Journal:  Phys Med Biol       Date:  2007-11-23       Impact factor: 3.609

4.  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

5.  A Comparison of Finite Element-Based Inversion Algorithms, Local Frequency Estimation, and Direct Inversion Approach Used in MRE.

Authors:  Mohammad Honarvar; Ramin S Sahebjavaher; Robert Rohling; Septimiu E Salcudean
Journal:  IEEE Trans Med Imaging       Date:  2017-03-22       Impact factor: 10.048

6.  MR elastography of breast cancer: preliminary results.

Authors:  Alexia L McKnight; Jennifer L Kugel; Phillip J Rossman; Armando Manduca; Lynn C Hartmann; Richard L Ehman
Journal:  AJR Am J Roentgenol       Date:  2002-06       Impact factor: 3.959

7.  Magnetic resonance elastography of the kidneys: feasibility and reproducibility in young healthy adults.

Authors:  Olivier Rouvière; Rémi Souchon; Gaële Pagnoux; Jean-Michel Ménager; Jean-Yves Chapelon
Journal:  J Magn Reson Imaging       Date:  2011-07-18       Impact factor: 4.813

Review 8.  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

9.  Including spatial information in nonlinear inversion MR elastography using soft prior regularization.

Authors:  Matthew McGarry; Curtis L Johnson; Bradley P Sutton; Elijah Ew Van Houten; John G Georgiadis; John B Weaver; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2013-06-17       Impact factor: 10.048

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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