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

Title
A method for anisotropic spatial smoothing of functional magnetic resonance images using distance transformation of a structural image
Authors
Nam H.Lee D.Lee J.D.Park H.-J.
Ewha Authors
남혜원
Issue Date
2011
Journal Title
Physics in Medicine and Biology
ISSN
0031-9155JCR Link
Citation
vol. 56, no. 15, pp. 5063 - 5077
Indexed
SCI; SCIE; SCOPUS WOS scopus
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. © 2011 Institute of Physics and Engineering in Medicine.
DOI
10.1088/0031-9155/56/15/025
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연구기관 > 수리과학연구소 > Journal papers
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