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PDE-based spatial smoothing: a practical demonstration of impacts on MRI brain extraction, tissue segmentation and registration
Xing, Xiu-Xia2; Zhou, You-Long3; Adelstein, Jonathan S.1; Zuo, Xi-Nian1,4; Zuo, XN (reprint author), NYU, Langone Med Ctr, Phyllis Green & Randolph Cowen Inst Pediat Neuros, 550 1St Ave, New York, NY 10016 USA.
2011-06-01
Source PublicationMAGNETIC RESONANCE IMAGING
ISSN0730-725X
SubtypeArticle
Volume29Issue:5Pages:731-738
Contribution Rank4
AbstractSpatial 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. (C) 2011 Elsevier Inc. All rights reserved.
KeywordMRI denoise Partial differential equation Anisotropic diffusion Non-local means Brain extraction Segmentation Registration
Subject AreaPhysiological Psychology/biological Psychology
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Indexed BySCI
Language英语
Funding OrganizationStartup Foundation for Distinguished Research Professor of Institute for Psychology [Y0CX492S03] ; National Nature Science Foundation of China [10671131] ; Beijing Natural Science Foundation [1092006] ; Scientific Research Foundation for the Youth [X1006012200801] ; Youth Specialized in Differential Equations of Beijing University of Technology [X3006012200801]
Project Intro.The current study was partially supported by the Startup Foundation for Distinguished Research Professor of Institute for Psychology (Y0CX492S03), National Nature Science Foundation of China (10671131), the Beijing Natural Science Foundation (1092006), the Scientific Research Foundation for the Youth (X1006012200801) and the Youth Specialized in Differential Equations (X3006012200801) of Beijing University of Technology.
WOS IDWOS:000291292500016
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Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/12887
Collection中国科学院行为科学重点实验室
Corresponding AuthorZuo, XN (reprint author), NYU, Langone Med Ctr, Phyllis Green & Randolph Cowen Inst Pediat Neuros, 550 1St Ave, New York, NY 10016 USA.
Affiliation1.NYU, Langone Med Ctr, Phyllis Green & Randolph Cowen Inst Pediat Neuros, New York, NY 10016 USA
2.Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China
3.Henan Univ Tradit Chinese Med, Dept Acupuncture, Zhengzhou 450008, Peoples R China
4.Chinese Acad Sci, Key Lab Behav Sci, Inst Psychol, Lab Funct Connectome & Dev, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Xing, Xiu-Xia,Zhou, You-Long,Adelstein, Jonathan S.,et al. PDE-based spatial smoothing: a practical demonstration of impacts on MRI brain extraction, tissue segmentation and registration[J]. MAGNETIC RESONANCE IMAGING,2011,29(5):731-738.
APA Xing, Xiu-Xia,Zhou, You-Long,Adelstein, Jonathan S.,Zuo, Xi-Nian,&Zuo, XN .(2011).PDE-based spatial smoothing: a practical demonstration of impacts on MRI brain extraction, tissue segmentation and registration.MAGNETIC RESONANCE IMAGING,29(5),731-738.
MLA Xing, Xiu-Xia,et al."PDE-based spatial smoothing: a practical demonstration of impacts on MRI brain extraction, tissue segmentation and registration".MAGNETIC RESONANCE IMAGING 29.5(2011):731-738.
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