Literature DB >> 31481155

Diffusion MRI in the brain - Theory and concepts.

J-Donald Tournier1.   

Abstract

Over the past two decades, diffusion MRI has become an essential tool in neuroimaging investigations. This is due to its sensitivity to the motion of water molecules as they diffuse through the microstructural environment, allowing diffusion MRI to be used as a 'probe' of tissue microstructure. Furthermore, this sensitivity is strongly direction-dependent, notably in brain white matter, due to the alignment of structures that restrict or hinder the motion of water molecules, notably axonal membranes. This provides a means of inferring the orientation of fibres in vivo, and by use of appropriate fibre-tracking algorithms, of delineating the path of white matter tracts in the brain. The ability to perform so-called tractography in humans in vivo non-invasively is unique to diffusion MRI, and is now used in applications such as neurosurgery planning and more broadly within investigations of brain connectomics. This review describes the theory and concepts of diffusion MRI and describes its most important areas of application in the brain, with a strong focus on tractography.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diffusion MRI; Fibre-tracking; Microstructure imaging; Tractography

Mesh:

Year:  2019        PMID: 31481155     DOI: 10.1016/j.pnmrs.2019.03.001

Source DB:  PubMed          Journal:  Prog Nucl Magn Reson Spectrosc        ISSN: 0079-6565            Impact factor:   9.795


  14 in total

1.  High fidelity fiber orientation density functions from fiber ball imaging.

Authors:  Hunter G Moss; Jens H Jensen
Journal:  NMR Biomed       Date:  2021-09-12       Impact factor: 4.044

2.  Karawun: a software package for assisting evaluation of advances in multimodal imaging for neurosurgical planning and intraoperative neuronavigation.

Authors:  Richard Beare; Bonnie Alexander; Aaron Warren; Michael Kean; Marc Seal; Alison Wray; Wirginia Maixner; Joseph Yuan-Mou Yang
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-09-07       Impact factor: 3.421

3.  Automated Classification of Mild Cognitive Impairment by Machine Learning With Hippocampus-Related White Matter Network.

Authors:  Yu Zhou; Xiaopeng Si; Yi-Ping Chao; Yuanyuan Chen; Ching-Po Lin; Sicheng Li; Xingjian Zhang; Yulin Sun; Dong Ming; Qiang Li
Journal:  Front Aging Neurosci       Date:  2022-06-14       Impact factor: 5.702

4.  Detecting Corticospinal Tract Impairment in Tumor Patients With Fiber Density and Tensor-Based Metrics.

Authors:  Lucius S Fekonja; Ziqian Wang; Dogu B Aydogan; Timo Roine; Melina Engelhardt; Felix R Dreyer; Peter Vajkoczy; Thomas Picht
Journal:  Front Oncol       Date:  2021-01-27       Impact factor: 6.244

5.  Magnetic Resonance Imaging and Molecular Dynamics Characterization of Ionic Liquid in Poly(ethylene oxide)-Based Polymer Electrolytes.

Authors:  Mosè Casalegno; Franca Castiglione; Guido Raos; Giovanni Battista Appetecchi; Stefano Passerini; Andrea Mele; Enzio Ragg
Journal:  ACS Appl Mater Interfaces       Date:  2020-05-12       Impact factor: 9.229

6.  The benefit of the diffusion kurtosis imaging in presurgical evaluation in patients with focal MR-negative epilepsy.

Authors:  Michaela Bartoňová; Marek Bartoň; Pavel Říha; Lubomír Vojtíšek; Milan Brázdil; Ivan Rektor
Journal:  Sci Rep       Date:  2021-07-09       Impact factor: 4.379

7.  Neurobiological underpinnings of rapid white matter plasticity during intensive reading instruction.

Authors:  Elizabeth Huber; Aviv Mezer; Jason D Yeatman
Journal:  Neuroimage       Date:  2021-08-04       Impact factor: 7.400

Review 8.  Structural and Functional Connectivity Substrates of Cognitive Impairment in Multiple Sclerosis.

Authors:  Jian Zhang; Rosa Cortese; Nicola De Stefano; Antonio Giorgio
Journal:  Front Neurol       Date:  2021-07-08       Impact factor: 4.003

9.  Harmonization of diffusion MRI data sets with adaptive dictionary learning.

Authors:  Samuel St-Jean; Max A Viergever; Alexander Leemans
Journal:  Hum Brain Mapp       Date:  2020-08-26       Impact factor: 5.399

10.  Computing and visualising intra-voxel orientation-specific relaxation-diffusion features in the human brain.

Authors:  João P de Almeida Martins; Chantal M W Tax; Alexis Reymbaut; Filip Szczepankiewicz; Maxime Chamberland; Derek K Jones; Daniel Topgaard
Journal:  Hum Brain Mapp       Date:  2020-10-06       Impact factor: 5.399

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