Magnetization transfer studies of the fast and slow tissue water diffusion components in the human brain

2005 ◽  
Vol 18 (3) ◽  
pp. 186-194 ◽  
Author(s):  
Robert V. Mulkern ◽  
Sridhar Vajapeyam ◽  
Steven J. Haker ◽  
Stephan E. Maier
Keyword(s):  
Human Brain ◽  
Magnetization Transfer ◽  
Water Diffusion ◽  
Tissue Water

scholarly journals Avian egg latebra as brain tissue water diffusion model

2013 ◽  
Vol 72 (2) ◽  
pp. 501-509 ◽  
Author(s):  
Stephan E. Maier ◽  
Dimitris Mitsouras ◽  
Robert V. Mulkern
Keyword(s):  
Brain Tissue ◽  
Diffusion Model ◽  
Water Diffusion ◽  
Tissue Water ◽  
Avian Egg

Is water diffusion restricted in human brain white matter? An echo-planar NMR imaging study

Neuroreport ◽  
1993 ◽  
Vol 4 (7) ◽  
pp. 887-890 ◽  
Author(s):  
Denis Le Bihan ◽  
Robert Turner ◽  
Philippe Douek
Keyword(s):  
White Matter ◽  
Human Brain ◽  
Imaging Study ◽  
Water Diffusion ◽  
Nmr Imaging ◽  
Brain White Matter ◽  
Echo Planar

scholarly journals Quantitative description of the asymmetry in magnetization transfer effects around the water resonance in the human brain

2007 ◽  
Vol 58 (4) ◽  
pp. 786-793 ◽  
Author(s):  
Jun Hua ◽  
Craig K. Jones ◽  
Jaishri Blakeley ◽  
Seth A. Smith ◽  
Peter C.M. van Zijl ◽  
...  
Keyword(s):  
Human Brain ◽  
Magnetization Transfer ◽  
Quantitative Description ◽  
Transfer Effects ◽  
Water Resonance ◽  
The Asymmetry

scholarly journals Local Relationships Between Restricted Water Diffusion and Oxygen Consumption in the Ischemic Human Brain

Stroke ◽  
2006 ◽  
Vol 37 (7) ◽  
pp. 1741-1748 ◽  
Author(s):  
Joseph V. Guadagno ◽  
P. Simon Jones ◽  
Tim D. Fryer ◽  
Olivier Barret ◽  
Franklin I. Aigbirhio ◽  
...  
Keyword(s):  
Oxygen Consumption ◽  
Human Brain ◽  
Water Diffusion

scholarly journals A Motion Correction Strategy for Multi-Contrast based 3D parametric imaging: Application to Inhomogeneous Magnetization Transfer (ihMT)

2020 ◽  
Author(s):  
Lucas Soustelle ◽  
Julien Lamy ◽  
Arnaud Le Troter ◽  
Andreea Hertanu ◽  
Maxime Guye ◽  
...  
Keyword(s):  
Image Registration ◽  
Human Brain ◽  
Motion Correction ◽  
High Performance ◽  
Magnetization Transfer ◽  
Parametric Imaging ◽  
Target Image ◽  
Imaging Application ◽  
Inhomogeneous Magnetization ◽  
Correction Strategies

AbstractPurposeTo propose an efficient retrospective image-based method for motion correction of multi-contrast acquisitions with a low number of available images (MC-MoCo) and evaluate its use in 3D inhomogeneous Magnetization Transfer (ihMT) experiments in the human brain.MethodsA framework for motion correction, including image pre-processing enhancement and rigid registration to an iteratively improved target image, was developed. The proposed method was compared to Motion Correction with FMRIB’s Linear Image Registration Tool (MCFLIRT) function in FSL over 13 subjects. Native (pre-correction) and residual (post-correction) motions were evaluated by means of markers positioned at well-defined anatomical regions over each image.ResultsBoth motion correction strategies significantly reduced inter-image misalignment, and the MC-MoCo method yielded significantly better results than MCFLIRT.ConclusionMC-MoCo is a high-performance method for motion correction of multi-contrast volumes as in 3D ihMT imaging.

scholarly journals Transferring principles of solid-state and Laplace NMR to the field of in vivo brain MRI

2020 ◽  
Vol 1 (1) ◽  
pp. 27-43 ◽  
Author(s):  
João P. de Almeida Martins ◽  
Chantal M. W. Tax ◽  
Filip Szczepankiewicz ◽  
Derek K. Jones ◽  
Carl-Fredrik Westin ◽  
...  
Keyword(s):  
Solid State ◽  
Magnetic Resonance ◽  
Human Brain ◽  
Brain Mri ◽  
Relaxation Rates ◽  
Monte Carlo Data ◽  
Tissue Water ◽  
Data Inversion ◽  
Statistical Measures

Abstract. Magnetic resonance imaging (MRI) is the primary method for noninvasive investigations of the human brain in health, disease, and development but yields data that are difficult to interpret whenever the millimeter-scale voxels contain multiple microscopic tissue environments with different chemical and structural properties. We propose a novel MRI framework to quantify the microscopic heterogeneity of the living human brain as spatially resolved five-dimensional relaxation–diffusion distributions by augmenting a conventional diffusion-weighted imaging sequence with signal encoding principles from multidimensional solid-state nuclear magnetic resonance (NMR) spectroscopy, relaxation–diffusion correlation methods from Laplace NMR of porous media, and Monte Carlo data inversion. The high dimensionality of the distribution space allows resolution of multiple microscopic environments within each heterogeneous voxel as well as their individual characterization with novel statistical measures that combine the chemical sensitivity of the relaxation rates with the link between microstructure and the anisotropic diffusivity of tissue water. The proposed framework is demonstrated on a healthy volunteer using both exhaustive and clinically viable acquisition protocols.

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