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조영 전후의 폐 CT 영상 정합을 위한 특징 기반의 비강체 정합 기법

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dc.contributor.author심학준-
dc.date.accessioned2014-12-20T17:05:06Z-
dc.date.available2014-12-20T17:05:06Z-
dc.date.issued2011-
dc.identifier.issn1229-0807-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/93932-
dc.description.abstractIn this paper, a feature-based registration technique is proposed for pre-contrast and post-contrast lung CT images. It utilizes three dimensional(3-D) features with their descriptors and estimates feature correspondences by nearest neighborhood matching in the feature space. We design a transformation model between the input image pairs using a free form deformation(FFD) which is based on B-splines. Registration is achieved by minimizing an energy function incorporating the smoothness of FFD and the correspondence information through a non-linear gradient conjugate method. To deal with outliers in feature matching, our energy model integrates a robust estimator which discards outliers effectively by iteratively reducing a radius of confidence in the minimization process. Performance evaluation was carried out in terms of accuracy and efficiency using seven pairs of lung CT images of clinical practice. For a quantitative assessment, a radiologist specialized in thorax manually placed landmarks on each CT image pair. In comparative evaluation to a conventional feature-based registration method, our algorithm showed improved performances in both accuracy and efficiency-
dc.description.statementOfResponsibilityopen-
dc.format.extent237~244-
dc.relation.isPartOfJournal of Biomedical Engineering Research (의공학회지)-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.title조영 전후의 폐 CT 영상 정합을 위한 특징 기반의 비강체 정합 기법-
dc.title.alternativeFeature-based Non-rigid Registration between Pre- and Post-Contrast Lung CT Images-
dc.typeArticle-
dc.contributor.collegeResearcher Institutes (부설 연구소)-
dc.contributor.departmentYonsei Cardiovascular Research Institute (심혈관연구소)-
dc.contributor.googleauthor이현준-
dc.contributor.googleauthor홍영택-
dc.contributor.googleauthor심학준-
dc.contributor.googleauthor권동진-
dc.contributor.googleauthor윤일동-
dc.contributor.googleauthor이상욱-
dc.contributor.googleauthor김남국-
dc.contributor.googleauthor서준범-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA02215-
dc.relation.journalcodeJ01263-
dc.subject.keywordnon-rigid registration-
dc.subject.keywordlung CT-
dc.subject.keywordfree-form deformation(FFD)-
dc.subject.keyword3-D feature detection-
dc.subject.keywordscale invariant feature transform(SIFT)-
dc.subject.keywordenergy minimization-
dc.contributor.alternativeNameShim, Hack Joon-
dc.contributor.affiliatedAuthorShim, Hack Joon-
dc.rights.accessRightsfree-
dc.citation.volume32-
dc.citation.number3-
dc.citation.startPage237-
dc.citation.endPage244-
dc.identifier.bibliographicCitationJournal of Biomedical Engineering Research (의공학회지), Vol.32(3) : 237-244, 2011-
Appears in Collections:
5. Research Institutes (연구소) > Yonsei Cardiovascular Research Institute (심혈관연구소) > 1. Journal Papers

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