| Effects of non-local diffusion on structural MRI preprocessing and default network mapping: statistical comparisons with isotropic/anisotropic diffusion. | |
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MedLine Citation:
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PMID: 22066005 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Neuroimaging community usually employs spatial smoothing to denoise magnetic resonance imaging (MRI) data, e.g., Gaussian smoothing kernels. Such an isotropic diffusion (ISD) based smoothing is widely adopted for denoising purpose due to its easy implementation and efficient computation. Beyond these advantages, Gaussian smoothing kernels tend to blur the edges, curvature and texture of images. Researchers have proposed anisotropic diffusion (ASD) and non-local diffusion (NLD) kernels. We recently demonstrated the effect of these new filtering paradigms on preprocessing real degraded MRI images from three individual subjects. Here, to further systematically investigate the effects at a group level, we collected both structural and functional MRI data from 23 participants. We first evaluated the three smoothing strategies' impact on brain extraction, segmentation and registration. Finally, we investigated how they affect subsequent mapping of default network based on resting-state functional MRI (R-fMRI) data. Our findings suggest that NLD-based spatial smoothing maybe more effective and reliable at improving the quality of both MRI data preprocessing and default network mapping. We thus recommend NLD may become a promising method of smoothing structural MRI images of R-fMRI pipeline. |
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Authors:
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Xi-Nian Zuo; Xiu-Xia Xing |
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Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't Date: 2011-10-31 |
Journal Detail:
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Title: PloS one Volume: 6 ISSN: 1932-6203 ISO Abbreviation: PLoS ONE Publication Date: 2011 |
Date Detail:
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Created Date: 2011-11-08 Completed Date: 2012-03-15 Revised Date: 2013-05-23 |
Medline Journal Info:
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Nlm Unique ID: 101285081 Medline TA: PLoS One Country: United States |
Other Details:
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Languages: eng Pagination: e26703 Citation Subset: IM |
Affiliation:
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Laboratory for Functional Connectome and Development, Institute of Psychology, Chinese Academy of Sciences, Beijing, China. zuoxn@psych.ac.cn |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Anisotropy Brain / physiology Brain Mapping / methods* Cluster Analysis Diffusion Humans Magnetic Resonance Imaging / methods* Models, Statistical Nerve Net / physiology* Reproducibility of Results |
| Comments/Corrections | |
Erratum In:
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PLoS One. 2011;6(11). doi:10.1371/annotation/dd83fe6c-b41e-4c8a-8430-7f2e6ea6b5de |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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