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A method for anisotropic spatial smoothing of functional magnetic resonance images using distance transformation of a structural image

Authors
 Haewon Nam ; Dongha Lee ; Hae-Jeong Park ; Jong Doo Lee 
Citation
 Physics in Medicine and Biology, Vol.56(15) : 5063~5077, 2011 
Journal Title
 Physics in Medicine and Biology 
ISSN
 0031-9155 
Issue Date
2011
Abstract
Spatial smoothing using isotropic Gaussian kernels to remove noise reduces spatial resolution and increases the partial volume effect of functional magnetic resonance images (fMRI), thereby reducing localization power. To minimize these limitations, we propose a novel anisotropic smoothing method for fMRI data. To extract an anisotropic tensor for each voxel of the functional data, we derived an intensity gradient using the distance transformation of the segmented gray matter of the fMRI-coregistered T1-weighted image. The intensity gradient was then used to determine the anisotropic smoothing kernel at each voxel of the fMRI data. Performance evaluations on both real and simulated data showed that the proposed method had 10% higher statistical power and about 20% higher gray matter localization compared to isotropic smoothing and robustness to the registration errors (up to 4 mm translations and 4° rotations) between T1 structural images and fMRI data. The proposed method also showed higher performance than the anisotropic smoothing with diffusion gradients derived from the fMRI intensity data
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/94362
DOI
10.1088/0031-9155/56/15/025
Appears in Collections:
1. 연구논문 > 1. College of Medicine > Yonsei Biomedical Research Center
1. 연구논문 > 1. College of Medicine > Dept. of Nuclear Medicine
Yonsei Authors
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Link
 http://iopscience.iop.org/0031-9155/56/15/025/
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