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- Publisher
- Springer Journals
- Copyright
- Copyright © 2014 by The Author(s)
- Subject
- Biomedicine; Neurosciences; Bioinformatics; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Neurology
- ISSN
- 1539-2791
- eISSN
- 1559-0089
- DOI
- 10.1007/s12021-014-9228-3
- pmid
- 24993814
- Publisher site
- See Article on Publisher Site
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.
Journal
Neuroinformatics – Springer Journals
Published: Jul 5, 2014