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Scan-rescan reproducibility of neurite microstructure estimates using NODDI

Tariq, M; Schneider, T; Alexander, DC; Wheeler-Kingshot, C; Zhang, H; (2012) Scan-rescan reproducibility of neurite microstructure estimates using NODDI. In: Xie, X, (ed.) Medical Image Understanding and Analysis 2012: Proceedings of the 16th Conference on Medical Image Understanding and Analysis. (pp. 255 - 261). The British Machine Vision Association and Society for Pattern Recognition: Swansea, UK. Green open access

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Abstract

In this work we provide a preliminary assessment of the reproducibility of the Neurite Orientation Dispersion and Density Imaging (NODDI), a recent diffusion MRI technique for directly quantifying microstructural indices of neurites in vivo, in the human brain. It is important to assess the reproducibility of such a technique to verify the precision of the method, which has implications for translation to clinical studies. NODDI outputs indices which reflect the functional and computational complexity of various regions of the brain and thus can provide useful information, non-invasively, for understanding pathology of the brain. We compare the parameter maps derived from diffusion MRI data acquired using the NODDI protocol from a normal subject, at two separate imaging sessions. We show that the NODDI indices have reproducibility comparable to that of the DTI indices. We additionally show that the clinically feasible NODDI protocol maintains good reproducibility of parameter estimates, comparable to that of a more comprehensive protocol.

Type: Proceedings paper
Title: Scan-rescan reproducibility of neurite microstructure estimates using NODDI
Event: 16th Conference on Medical Image Understanding and Analysis
Location: Swansea, UK
Dates: 2012-07-09 - 2012-07-11
Open access status: An open access version is available from UCL Discovery
Publisher version: http://miua2012.swansea.ac.uk/uploads/Site/Program...
Language: English
Additional information: Copyright © 2012. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.
Keywords: Diffusion MRI, Model-based approach, NODDI, Reproducibility
UCL classification: UCL
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/1353710
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