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  High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processing

Mohammadi, S., Tabelow, K., Ruthotto, L., Feiweier, T., Polzehl, J., & Weiskopf, N. (2015). High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processing. Frontiers in Neuroscience, 8: 427. doi:10.3389/fnins.2014.00427.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0026-C722-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-78D3-8
Genre: Journal Article

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 Creators:
Mohammadi, Siawoosh1, 2, Author
Tabelow, Karsten3, Author
Ruthotto, Lars4, Author
Feiweier, Thorsten5, Author
Polzehl, Jörg3, Author
Weiskopf, Nikolaus1, Author              
Affiliations:
1Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom, ou_persistent22              
2Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Germany, ou_persistent22              
3Stochastic Algorithms and Nonparametric Statistics, Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany, ou_persistent22              
4Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Vancouver, BC, Canada, ou_persistent22              
5Siemens Sector Healthcare, Erlangen, Germany, ou_persistent22              

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Free keywords: DKI; DTI; adaptive smoothing; diffusion kurtosis; eddy current and motion artifacts; gray matter; high-resolution; multi-shell dMRI
 Abstract: Diffusion Kurtosis Imaging (DKI) is more sensitive to microstructural differences and can be related to more specific micro-scale metrics (e.g., intra-axonal volume fraction) than diffusion tensor imaging (DTI), offering exceptional potential for clinical diagnosis and research into the white and gray matter. Currently DKI is acquired only at low spatial resolution (2-3 mm isotropic), because of the lower signal-to-noise ratio (SNR) and higher artifact level associated with the technically more demanding DKI. Higher spatial resolution of about 1 mm is required for the characterization of fine white matter pathways or cortical microstructure. We used restricted-field-of-view (rFoV) imaging in combination with advanced post-processing methods to enable unprecedented high-quality, high-resolution DKI (1.2 mm isotropic) on a clinical 3T scanner. Post-processing was advanced by developing a novel method for Retrospective Eddy current and Motion ArtifacT Correction in High-resolution, multi-shell diffusion data (REMATCH). Furthermore, we applied a powerful edge preserving denoising method, denoted as multi-shell orientation-position-adaptive smoothing (msPOAS). We demonstrated the feasibility of high-quality, high-resolution DKI and its potential for delineating highly myelinated fiber pathways in the motor cortex. REMATCH performs robustly even at the low SNR level of high-resolution DKI, where standard EC and motion correction failed (i.e., produced incorrectly aligned images) and thus biased the diffusion model fit. We showed that the combination of REMATCH and msPOAS increased the contrast between gray and white matter in mean kurtosis (MK) maps by about 35% and at the same time preserves the original distribution of MK values, whereas standard Gaussian smoothing strongly biases the distribution.

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Language(s): eng - English
 Dates: 2014-04-152014-12-052015-01-07
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.3389/fnins.2014.00427
PMID: 25620906
PMC: PMC4285740
Other: eCollection 2014
 Degree: -

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Title: Frontiers in Neuroscience
  Other : Front Neurosci
Source Genre: Journal
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Pages: - Volume / Issue: 8 Sequence Number: 427 Start / End Page: - Identifier: ISSN: 1662-4548
ISSN: 1662-453X
CoNE: https://pure.mpg.de/cone/journals/resource/1662-4548