title: POAS4SPM: a toolbox for SPM to denoise diffusion MRI data.
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.
authors.affiliation: WIAS Berlin, Mohrenstr. 39, 10117, Berlin, Germany, karsten.tabelow@wias-berlin.de.
authors.forename: Karsten
authors.initials: K
authors.lastname: Tabelow
authors.forename: Siawoosh
authors.initials: S
authors.lastname: Mohammadi
authors.forename: Nikolaus
authors.initials: N
authors.lastname: Weiskopf
authors.forename: Jörg
authors.initials: J
authors.lastname: Polzehl
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000502:physiology; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*