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Fiber tracking: Principles and strategies - A technical review

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TLDR
The state of the art of reconstruction of the axonal tracts in the central nervous system (CNS) using diffusion tensor imaging (DTI) is reviewed, including both data acquisition and the elaborate fiber reconstruction algorithms.
Abstract
The state of the art of reconstruction of the axonal tracts in the central nervous system (CNS) using diffusion tensor imaging (DTI) is reviewed. This relatively new technique has generated much enthusiasm and high expectations because it presently is the only approach available to non-invasively study the three-dimensional architecture of white matter tracts. While there is no doubt that DTI fiber tracking is providing exciting new opportunities to study CNS anatomy, it is very important to understand its limitations. In this review we therefore assess the basic principles and the assumptions that need to be made for each step of the study, including both data acquisition and the elaborate fiber reconstruction algorithms. Special attention is paid to situations where complications may arise, and possible solutions are reviewed. Validation issues and potential future directions and improvements are also discussed.

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Citations
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Rich-Club Organization of the Human Connectome

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White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI

TL;DR: The physics of DW-MRI is reviewed, currently preferred methodology is indicated, and the limits of interpretation of its results are explained, with a list of 'Do's and Don'ts' which define good practice in this expanding area of imaging neuroscience.
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Q‐ball imaging

TL;DR: This work has shown that it is possible to resolve intravoxel fiber crossing using mixture model decomposition of the high angular resolution diffusion imaging (HARDI) signal, but mixture modeling requires a model of the underlying diffusion process.
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Fiber tract-based atlas of human white matter anatomy.

TL;DR: Two- and three-dimensional white matter atlases were created on the basis of high-spatial-resolution diffusion tensor magnetic resonance (MR) imaging and 3D tract reconstruction and showed which anatomic structures can be identified on diffusion Tensor images and where these anatomic units are located at each section level and orientation.
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Diffusion-Weighted Magnetic Resonance Imaging as a Cancer Biomarker: Consensus and Recommendations

TL;DR: DW-MRI should be tested as an imaging biomarker in the context of well-defined clinical trials, by adding DW-MRI to existing NCI-sponsored trials, particularly those with tissue sampling or survival indicators, and standards for measurement, analysis, and display are needed.
References
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Journal ArticleDOI

MR diffusion tensor spectroscopy and imaging.

TL;DR: Once Deff is estimated from a series of NMR pulsed-gradient, spin-echo experiments, a tissue's three orthotropic axes can be determined and the effective diffusivities along these orthotropic directions are the eigenvalues of Deff.
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The basis of anisotropic water diffusion in the nervous system – a technical review

TL;DR: The purpose of this review is to characterize the relationship of nuclear magnetic resonance measurements of water diffusion and its anisotropy (i.e. directional dependence) with the underlying microstructure of neural fibres.
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Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo

TL;DR: The diagonal and off-diagonal elements of the effective self-diffusion tensor, Deff, are related to the echo intensity in an NMR spin-echo experiment.
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Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging.

TL;DR: It is shown that neuronal pathways in the rat brain can be probed in situ using high‐resolution three‐dimensional diffusion magnetic resonance imaging and a newly designed tracking approach.
Journal ArticleDOI

In vivo fiber tractography using DT-MRI data

TL;DR: Fiber tract trajectories in coherently organized brain white matter pathways were computed from in vivo diffusion tensor magnetic resonance imaging (DT‐MRI) data, and the method holds promise for elucidating architectural features in other fibrous tissues and ordered media.
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