Diffusion-tensor MRI: theory, experimental design and data analysis - a technical review

This article treats the theoretical underpinnings of diffusion‐tensor magnetic resonance imaging (DT‐MRI), as well as experimental design and data analysis issues. We review the mathematical model underlying DT‐MRI, discuss the quantitative parameters that are derived from the measured effective dif...

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Bibliographic Details
Published in:NMR in biomedicine 2002-11, Vol.15 (7-8), p.456-467
Main Authors: Basser, Peter J., Jones, Derek K.
Format: Article
Language:English
Subjects:
Anisotropy
Brain - cytology
Brain - metabolism
Diffusion
Diffusion Magnetic Resonance Imaging - instrumentation
Diffusion Magnetic Resonance Imaging - methods
Image Enhancement - methods
methods
Models, Biological
Models, Chemical
MRI
Nerve Fibers - chemistry
Nerve Fibers - metabolism
Nerve Fibers - pathology
Neural Pathways - chemistry
Neural Pathways - cytology
Neural Pathways - metabolism
Research Design
tensor
Water - chemistry
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Summary:This article treats the theoretical underpinnings of diffusion‐tensor magnetic resonance imaging (DT‐MRI), as well as experimental design and data analysis issues. We review the mathematical model underlying DT‐MRI, discuss the quantitative parameters that are derived from the measured effective diffusion tensor, and describe artifacts thet arise in typical DT‐MRI acquisitions. We also discuss difficulties in identifying appropriate models to describe water diffusion in heterogeneous tissues, as well as in interpreting experimental data obtained in such issues. Finally, we describe new statistical methods that have been developed to analyse DT‐MRI data, and their potential uses in clinical and multi‐site studies. Copyright © 2002 John Wiley & Sons, Ltd.
ISSN:0952-3480
1099-1492
DOI:10.1002/nbm.783