POAS4SPM: A toolbox for SPM to denoise diffusion MRI data

Tabelow, Karsten; Mohammadi, Siawoosh; Weiskopf, Nikolaus; Polzehl, Jörg

doi:10.1007/s12021-014-9228-3

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POAS4SPM: A toolbox for SPM to denoise diffusion MRI data

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

Cite as: https://hdl.handle.net/11858/00-001M-0000-0027-A760-9

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.