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Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains

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dc.contributor.authorZhang, Yuyao-
dc.contributor.authorShi, Feng-
dc.contributor.authorWu, Guorong-
dc.contributor.authorWang, Li-
dc.contributor.authorYap, Pew-Thian-
dc.contributor.authorShen, Dinggang-
dc.date.accessioned2021-09-03T16:10:58Z-
dc.date.available2021-09-03T16:10:58Z-
dc.date.created2021-06-16-
dc.date.issued2016-12-
dc.identifier.issn0278-0062-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/86641-
dc.description.abstractBrain atlases are an essential component in understanding the dynamic cerebral development, especially for the early postnatal period. However, longitudinal atlases are rare for infants, and the existing ones are generally limited by their fuzzy appearance. Moreover, since longitudinal atlas construction is typically performed independently over time, the constructed atlases often fail to preserve temporal consistency. This problem is further aggravated for infant images since they typically have low spatial resolution and insufficient tissue contrast. In this paper, we propose a novel framework for consistent spatial-temporal construction of longitudinal atlases for developing infant brain MR images. Specifically, for preserving structural details, the atlas construction is performed in spatial-temporal wavelet domain simultaneously. This is achieved by a patch-based combination of results from each frequency subband. Compared with the existing infant longitudinal atlases, our experimental results indicate that our approach is able to produce longitudinal atlases with richer structural details and also better longitudinal consistency, thus leading to higher performance when used for spatial normalization of a group of infant brain images.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectFETAL-BRAIN-
dc.subjectGROUPWISE REGISTRATION-
dc.subjectSPATIOTEMPORAL ATLAS-
dc.subjectHUMAN HEART-
dc.subjectMRI-
dc.subjectPROBABILITY-
dc.subjectINTENSITY-
dc.titleConsistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains-
dc.typeArticle-
dc.contributor.affiliatedAuthorShen, Dinggang-
dc.identifier.doi10.1109/TMI.2016.2587628-
dc.identifier.scopusid2-s2.0-85002897364-
dc.identifier.wosid000391547700006-
dc.identifier.bibliographicCitationIEEE TRANSACTIONS ON MEDICAL IMAGING, v.35, no.12, pp.2568 - 2577-
dc.relation.isPartOfIEEE TRANSACTIONS ON MEDICAL IMAGING-
dc.citation.titleIEEE TRANSACTIONS ON MEDICAL IMAGING-
dc.citation.volume35-
dc.citation.number12-
dc.citation.startPage2568-
dc.citation.endPage2577-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaImaging Science & Photographic Technology-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Biomedical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryImaging Science & Photographic Technology-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.subject.keywordPlusFETAL-BRAIN-
dc.subject.keywordPlusGROUPWISE REGISTRATION-
dc.subject.keywordPlusSPATIOTEMPORAL ATLAS-
dc.subject.keywordPlusHUMAN HEART-
dc.subject.keywordPlusMRI-
dc.subject.keywordPlusPROBABILITY-
dc.subject.keywordPlusINTENSITY-
dc.subject.keywordAuthorMagnetic resonance imaging (MRI)-
dc.subject.keywordAuthorBrain-
dc.subject.keywordAuthoratlases-
dc.subject.keywordAuthorImage enhancement (noise and artifact reduction)-
dc.subject.keywordAuthorInfant-
dc.subject.keywordAuthorNeonate-
dc.subject.keywordAuthorSpatial-temporal consistency-
dc.subject.keywordAuthorLongitudinal atlas-
dc.subject.keywordAuthorSparse representation-
dc.subject.keywordAuthorWavelet domain-
dc.subject.keywordAuthorFrequency subbands-
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