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

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...

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Veröffentlicht in:Magnetic resonance in medicine Jg. 72; H. 6; S. 1785 - 1792
Hauptverfasser: Ferizi, Uran, Schneider, Torben, Panagiotaki, Eleftheria, Nedjati-Gilani, Gemma, Zhang, Hui, Wheeler-Kingshott, Claudia A. M., Alexander, Daniel C.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Blackwell Publishing Ltd 01.12.2014
Wiley Subscription Services, Inc
BlackWell Publishing Ltd
Schlagworte:
Body Water - metabolism
Brain - anatomy & histology
Brain - metabolism
brain imaging
Computer Processing and Modeling—Note
Computer Simulation
Diffusion
diffusion magnetic resonance imaging
Diffusion Magnetic Resonance Imaging - methods
Humans
Image Interpretation, Computer-Assisted - methods
microstructure imaging
Models, Neurological
Reproducibility of Results
Sensitivity and Specificity
white matter
brain imaging
white matter
diffusion magnetic resonance imaging
microstructure imaging
ISSN:0740-3194, 1522-2594, 1522-2594
Online-Zugang:Volltext
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Zusammenfassung: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. Magn Reson Med 72:1785–1792, 2014. © 2013 The authors. Magnetic Resonance in Medicine Published by Wiley Periodicals, Inc. on behalf of International Society of Medicine in Resonance.
Bibliographie:istex:037671B7760F8E975573CCBCD6C69ABBF2751A34
EPSRC - No. EP/E007748 and EP/I027084/01
ark:/67375/WNG-R79PNB90-9
ArticleID:MRM25080
National Institute for Health Research UCL Hospitals Biomedical Research Centre
Multiple Sclerosis Society of Great Britain and Northern Ireland
The copyright line for this article was changed on 17 September 2014 after original online publication.
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ISSN:0740-3194
1522-2594
1522-2594
DOI:10.1002/mrm.25080