PortalPublikationenPOAS4SPM: a toolbox for SPM to denoise diffusion MRI data

POAS4SPM: a toolbox for SPM to denoise diffusion MRI data

Standard

POAS4SPM: a toolbox for SPM to denoise diffusion MRI data. / Tabelow, Karsten; Mohammadi, Siawoosh; Weiskopf, Nikolaus; Polzehl, Jörg.

in: NEUROINFORMATICS, Jahrgang 13, Nr. 1, 01.2015, S. 19-29.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Tabelow, K, Mohammadi, S, Weiskopf, N & Polzehl, J 2015, 'POAS4SPM: a toolbox for SPM to denoise diffusion MRI data', NEUROINFORMATICS, Jg. 13, Nr. 1, S. 19-29. https://doi.org/10.1007/s12021-014-9228-3

APA

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

Vancouver

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

Bibtex

@article{9c607bf1a5364febb0acfaa99ae53760,
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.",
author = "Karsten Tabelow and Siawoosh Mohammadi and Nikolaus Weiskopf and J{\"o}rg Polzehl",
year = "2015",
month = jan,
doi = "10.1007/s12021-014-9228-3",
language = "English",
volume = "13",
pages = "19--29",
journal = "NEUROINFORMATICS",
issn = "1539-2791",
publisher = "Humana Press",
number = "1",

}

RIS

TY - JOUR

T1 - POAS4SPM: a toolbox for SPM to denoise diffusion MRI data

AU - Tabelow, Karsten

AU - Mohammadi, Siawoosh

AU - Weiskopf, Nikolaus

AU - Polzehl, Jörg

PY - 2015/1

Y1 - 2015/1

N2 - 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.

AB - 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.

U2 - 10.1007/s12021-014-9228-3

DO - 10.1007/s12021-014-9228-3

M3 - SCORING: Journal article

C2 - 24993814

VL - 13

SP - 19

EP - 29

JO - NEUROINFORMATICS

JF - NEUROINFORMATICS

SN - 1539-2791

IS - 1

ER -