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Ranking diffusion-MRI models with in-vivo human brain data

Ferizi, U; Schneider, T; Panagiotaki, E; Nedjati-Gilani, G; Zhang, H; Wheeler-Kingshott, CAM; Alexander, DC; (2013) Ranking diffusion-MRI models with in-vivo human brain data. In: 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI). (pp. 676 - 679). IEEE Green open access

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Abstract

Diffusion MRI microstructure imaging provides a unique non-invasive probe into the microstructure of biological tissue. Its analysis relies on mathematical models relating microscopic tissue features to the MR signal. This work aims to determine which compartment models of diffusion MRI are best at describing the signal from in-vivo brain white matter. Recent work shows that three compartment models, including restricted intra-axonal, glial compartments and hindered extra-cellular diffusion, explain best multi b-value data sets from fixed rat brain tissue. Here, we perform a similar experiment using in-vivo human data. We compare one, two and three compartment models, ranking them with standard model selection criteria. Results show that, as with fixed tissue, three compartment models explain the data best, although simpler models emerge for the in-vivo data. We also find that splitting the scanning into shorter sessions has little effect on the models fitting and that the results are reproducible. The full ranking assists the choice of model and imaging protocol for future microstructure imaging applications in the brain.

Type: Proceedings paper
Title: Ranking diffusion-MRI models with in-vivo human brain data
Event: 10th International Symposium on Biomedical Imaging (ISBI)
ISBN-13: 978-1-4673-6455-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ISBI.2013.6556565
Publisher version: http://dx.doi.org/10.1109/ISBI.2013.6556565
Language: English
Additional information: © 2013 IEEE. This is the authors' accepted manuscript of this published article.
Keywords: Diffusion MRI, Brain Imaging
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1392608
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