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

DC Field Value Language
dc.contributor.author박해정-
dc.contributor.author이동하-
dc.contributor.author이종두-
dc.date.accessioned2014-12-20T17:18:46Z-
dc.date.available2014-12-20T17:18:46Z-
dc.date.issued2011-
dc.identifier.issn0031-9155-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/94362-
dc.description.abstractSpatial 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-
dc.description.statementOfResponsibilityopen-
dc.format.extent5063~5077-
dc.relation.isPartOfPHYSICS IN MEDICINE AND BIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAnisotropy-
dc.subject.MESHBrain-
dc.subject.MESHDiffusion-
dc.subject.MESHImageEnhancement/methods*-
dc.subject.MESHMagneticResonanceImaging/methods*-
dc.subject.MESHTime Factors-
dc.titleA method for anisotropic spatial smoothing of functional magnetic resonance images using distance transformation of a structural image-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentYonsei Biomedical Research Center (연세의생명연구원)-
dc.contributor.googleauthorHaewon Nam-
dc.contributor.googleauthorDongha Lee-
dc.contributor.googleauthorJong Doo Lee-
dc.contributor.googleauthorHae-Jeong Park-
dc.identifier.doi10.1088/0031-9155/56/15/025-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA01730-
dc.contributor.localIdA02736-
dc.contributor.localIdA03138-
dc.relation.journalcodeJ02523-
dc.identifier.eissn1361-6560-
dc.identifier.pmid21772082-
dc.identifier.urlhttp://iopscience.iop.org/0031-9155/56/15/025/-
dc.contributor.alternativeNamePark, Hae Jeong-
dc.contributor.alternativeNameLee, Dong Ha-
dc.contributor.alternativeNameLee, Jong Doo-
dc.contributor.affiliatedAuthorPark, Hae Jeong-
dc.contributor.affiliatedAuthorLee, Dong Ha-
dc.contributor.affiliatedAuthorLee, Jong Doo-
dc.rights.accessRightsnot free-
dc.citation.volume56-
dc.citation.number15-
dc.citation.startPage5063-
dc.citation.endPage5077-
dc.identifier.bibliographicCitationPHYSICS IN MEDICINE AND BIOLOGY, Vol.56(15) : 5063-5077, 2011-
dc.identifier.rimsid27571-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers

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