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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. doi:10.1007/s12021-014-9228-3.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-A760-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-78BE-1
Genre: Journal Article

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 Creators:
Tabelow, Karsten1, Author
Mohammadi, Siawoosh2, Author
Weiskopf, Nikolaus2, Author           
Polzehl, Jörg1, Author
Affiliations:
1Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany, ou_persistent22              
2Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom, ou_persistent22              

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Free keywords: dMRI; Noise reduction; POAS; msPOAS; SPM (RRID:nif-0000-00343)
 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.

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Language(s): eng - English
 Dates: 2014-07-052015-01-13
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s12021-014-9228-3
PMID: 24993814
PMC: PMC4303737
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Title: Neuroinformatics
Source Genre: Journal
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Pages: - Volume / Issue: 13 (1) Sequence Number: - Start / End Page: 19 - 29 Identifier: ISSN: 1539-2791
CoNE: https://pure.mpg.de/cone/journals/resource/1539-2791