Dataset Information

A ranking of diffusion MRI compartment models with in vivo human brain data.

ABSTRACT:

Purpose

Diffusion magnetic resonance imaging (MRI) microstructure imaging provides a unique noninvasive probe into tissue microstructure. The technique relies on biophysically motivated mathematical models, relating microscopic tissue features to the magnetic resonance (MR) signal. This work aims to determine which compartment models of diffusion MRI are best at describing measurements from in vivo human brain white matter.

Methods

Recent work shows that three compartment models, designed to capture intra-axonal, extracellular, and isotropically restricted diffusion, best explain multi-b-value data sets from fixed rat corpus callosum. We extend this investigation to in vivo by using a live human subject on a clinical scanner. The analysis compares models of one, two, and three compartments and ranks their ability to explain the measured data. We enhance the original methodology to further evaluate the stability of the ranking.

Results

As with fixed tissue, three compartment models explain the data best. However, a clearer hierarchical structure and simpler models emerge. We also find that splitting the scanning into shorter sessions has little effect on the ranking of models, and that the results are broadly reproducible across sessions.

Conclusion

Three compartments are required to explain diffusion MR measurements from in vivo corpus callosum, which informs the choice of model for microstructure imaging applications in the brain.

SUBMITTER: Ferizi U

PROVIDER: S-EPMC4278549 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature

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Publications

A ranking of diffusion MRI compartment models with in vivo human brain data.

Ferizi Uran U Schneider Torben T Panagiotaki Eleftheria E Nedjati-Gilani Gemma G Zhang Hui H Wheeler-Kingshott Claudia A M CA Alexander Daniel C DC

Magnetic resonance in medicine 20131217 6

<h4>Purpose</h4>Diffusion magnetic resonance imaging (MRI) microstructure imaging provides a unique noninvasive probe into tissue microstructure. The technique relies on biophysically motivated mathematical models, relating microscopic tissue features to the magnetic resonance (MR) signal. This work aims to determine which compartment models of diffusion MRI are best at describing measurements from in vivo human brain white matter.<h4>Methods</h4>Recent work shows that three compartment models, ...[more]

PMID: 24347370

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Dataset Information

A ranking of diffusion MRI compartment models with in vivo human brain data.

Purpose

Methods

Results

Conclusion

Publications

A ranking of diffusion MRI compartment models with in vivo human brain data.

Similar Datasets

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