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POAS4SPM: a toolbox for SPM to denoise diffusion MRI data

Tabelow, K; Mohammadi, S; Weiskopf, N; Polzehl, J; (2015) POAS4SPM: a toolbox for SPM to denoise diffusion MRI data. Neuroinformatics , 13 (1) 19 - 29. 10.1007/s12021-014-9228-3. Green open access

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Abstract

We present an implementation of a recently developed noise reduction algorithm for dMRI data, called multi-shell position orientation adaptive smoothing (msPOAS), as a toolbox for SPM. The method intrinsically adapts to the structures of different size and shape in dMRI and hence avoids blurring typically observed in non-adaptive smoothing. We give examples for the usage of the toolbox and explain the determination of experiment-dependent parameters for an optimal performance of msPOAS.

Type: Article
Title: POAS4SPM: a toolbox for SPM to denoise diffusion MRI data
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s12021-014-9228-3
Publisher version: http://dx.doi.org/10.1007/s12021-014-9228-3
Language: English
Additional information: Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
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 > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/1468729
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