Magnetic resonance elastography of the brain: A study of feasibility and reproducibility using an ergonomic pillow-like passive driver

2019 ◽  
Vol 59 ◽  
pp. 68-76 ◽  
Author(s):  
Xunan Huang ◽  
Hatim Chafi ◽  
Kenneth L. Matthews ◽  
Owen Carmichael ◽  
Tanping Li ◽  
...  
Author(s):  
Johannes Weickenmeier ◽  
Mehmet Kurt ◽  
Efe Ozkaya ◽  
Max Wintermark ◽  
Kim Butts Pauly ◽  
...  

NeuroImage ◽  
2008 ◽  
Vol 39 (1) ◽  
pp. 231-237 ◽  
Author(s):  
Scott A. Kruse ◽  
Gregory H. Rose ◽  
Kevin J. Glaser ◽  
Armando Manduca ◽  
Joel P. Felmlee ◽  
...  

2010 ◽  
Vol 28 (10) ◽  
pp. 1514-1524 ◽  
Author(s):  
Matthew C. Murphy ◽  
Kevin J. Glaser ◽  
Armando Manduca ◽  
Joel P. Felmlee ◽  
Jon Huston ◽  
...  

2021 ◽  
Vol 29 (4) ◽  
pp. 617-630
Author(s):  
Manjunathan Nanjappa ◽  
Arunark Kolipaka

Author(s):  
Runke Wang ◽  
Yu Chen ◽  
Ruokun Li ◽  
Suhao Qiu ◽  
Zhiyong Zhang ◽  
...  

Abstract Objective: To achieve fast magnetic resonance elastography (MRE) at a low frequency for better shear modulus estimation of the brain. Approach: We proposed a multiphase radial DENSE MRE (MRD-MRE) sequence and an improved GRASP algorithm utilizing the sparsity of the harmonic motion (SH-GRASP) for fast MRE at 20 Hz. For the MRD-MRE sequence, the initial position encoded by one spatial modulation of magnetization (SPAMM) was decoded by an arbitrary number of readout blocks without increasing the number of phase offsets. Based on the harmonic motion, a modified total variation and temporal Fourier transform were introduced to utilize the sparsity in the temporal domain. Both phantom and brain experiments were carried out and compared with that from multiphase Cartesian DENSE-MRE (MCD-MRE), and conventional gradient echo sequence (GRE-MRE). Reconstruction performance was also compared with GRASP and compressed sensing. Main results: Results showed the scanning time of a fully sampled image with four phase offsets for MRD-MRE was only 1/5 of that from GRE-MRE. The wave patterns and estimated stiffness maps were similar to those from MCD-MRE and GRE-MRE. With SH-GRASP, the total scan time could be shortened by additional 4 folds, achieving a total acceleration factor of 20. Better metric values were also obtained using SH-GRASP for reconstruction compared with other algorithms. Significance: The MRD-MRE sequence and SH-GRASP algorithm can be used either in combination or independently to accelerate MRE, showing the potentials for imaging the brain as well as other organs.


2016 ◽  
Vol 27 (5) ◽  
pp. 2206-2215 ◽  
Author(s):  
Kaspar-Josche Streitberger ◽  
Andreas Fehlner ◽  
Florence Pache ◽  
Anna Lacheta ◽  
Sebastian Papazoglou ◽  
...  

2012 ◽  
Vol 30 (4) ◽  
pp. 535-539 ◽  
Author(s):  
Matthew C. Murphy ◽  
Geoffrey L. Curran ◽  
Kevin J. Glaser ◽  
Phillip J. Rossman ◽  
John Huston ◽  
...  

2020 ◽  
Vol 142 (7) ◽  
Author(s):  
Daniel R. Smith ◽  
Charlotte A. Guertler ◽  
Ruth J. Okamoto ◽  
Anthony J. Romano ◽  
Philip V. Bayly ◽  
...  

Abstract Magnetic resonance elastography (MRE) has emerged as a sensitive imaging technique capable of providing a quantitative understanding of neural microstructural integrity. However, a reliable method for the quantification of the anisotropic mechanical properties of human white matter is currently lacking, despite the potential to illuminate the pathophysiology behind neurological disorders and traumatic brain injury. In this study, we examine the use of multiple excitations in MRE to generate wave displacement data sufficient for anisotropic inversion in white matter. We show the presence of multiple unique waves from each excitation which we combine to solve for parameters of an incompressible, transversely isotropic (ITI) material: shear modulus, μ, shear anisotropy, ϕ, and tensile anisotropy, ζ. We calculate these anisotropic parameters in the corpus callosum body and find the mean values as μ = 3.78 kPa, ϕ = 0.151, and ζ = 0.099 (at 50 Hz vibration frequency). This study demonstrates that multi-excitation MRE provides displacement data sufficient for the evaluation of the anisotropic properties of white matter.


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