Document Detail


PDE-based spatial smoothing: a practical demonstration of impacts on MRI brain extraction, tissue segmentation and registration.
MedLine Citation:
PMID:  21531104     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Spatial smoothing is typically used to denoise magnetic resonance imaging (MRI) data. Gaussian smoothing kernels, associated with heat equations or isotropic diffusion (ISD), are widely adopted for this purpose because of their easy implementation and efficient computation, but despite these advantages, Gaussian smoothing kernels blur the edges, curvature and texture of images. To overcome these issues, researchers have proposed anisotropic diffusion (ASD) and non-local means [i.e., diffusion (NLD)] kernels. However, these new filtering paradigms are rarely applied to MRI analyses. In the current study, using real degraded MRI data, we demonstrated the effect of denoising using ISD, ASD and NLD kernels. Furthermore, we evaluated their impact on three common preprocessing steps of MRI data analysis: brain extraction, segmentation and registration. Results suggest that NLD-based spatial smoothing is most effective at improving the quality of MRI data preprocessing and thus should become the new standard method of smoothing in MRI data processing.
Authors:
Xiu-Xia Xing; You-Long Zhou; Jonathan S Adelstein; Xi-Nian Zuo
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-4-28
Journal Detail:
Title:  Magnetic resonance imaging     Volume:  -     ISSN:  1873-5894     ISO Abbreviation:  -     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-5-2     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8214883     Medline TA:  Magn Reson Imaging     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Elsevier Inc. All rights reserved.
Affiliation:
Laboratory for Functional Connectome and Development, Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China; College of Applied Sciences, Beijing University of Technology, Beijing, 100124, China.
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