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dc.contributor.authorKim, Youngjun-
dc.contributor.authorNa, Yong Hum-
dc.contributor.authorXing, Lei-
dc.contributor.authorLee, Rena-
dc.contributor.authorPark, Sehyung-
dc.date.accessioned2024-01-20T03:04:07Z-
dc.date.available2024-01-20T03:04:07Z-
dc.date.created2021-09-04-
dc.date.issued2016-10-01-
dc.identifier.issn0010-4825-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/123581-
dc.description.abstractDeformable surface mesh registration is a useful technique for various medical applications, such as intra-operative treatment guidance and intra- or inter-patient study. In this paper, we propose an automatic deformable mesh registration technique. The proposed method iteratively deforms a source mesh to a target mesh without manual feature extraction. Each iteration of the registration consists of two steps, automatic correspondence finding using robust point-matching (RPM) and local deformation using a radial basis function (RBF). The proposed RBF-based RPM algorithm solves the interlocking problems of correspondence and deformation using a deterministic annealing framework with fuzzy correspondence and RBF interpolation. Simulation tests showed promising results, with the average deviations decreasing by factors of 21.2 and 11.9, respectively. In the human model test, the average deviation decreased from 1.72 +/- 1.88 mm to 0.57 +/- 0.66 mm. We demonstrate the effectiveness of the proposed method by presenting some medical applications. (C) 2016 Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.subjectIMAGE REGISTRATION-
dc.subjectNONRIGID REGISTRATION-
dc.subjectRADIOSURGERY-
dc.subjectALGORITHMS-
dc.subjectFRAMELESS-
dc.subjectCURVES-
dc.subjectHEAD-
dc.subject2D-
dc.titleAutomatic deformable surface registration for medical applications by radial basis function-based robust point-matching-
dc.typeArticle-
dc.identifier.doi10.1016/j.compbiomed.2016.07.013-
dc.description.journalClass1-
dc.identifier.bibliographicCitationCOMPUTERS IN BIOLOGY AND MEDICINE, v.77, pp.173 - 181-
dc.citation.titleCOMPUTERS IN BIOLOGY AND MEDICINE-
dc.citation.volume77-
dc.citation.startPage173-
dc.citation.endPage181-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000384866000017-
dc.identifier.scopusid2-s2.0-84983762721-
dc.relation.journalWebOfScienceCategoryBiology-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Biomedical-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.relation.journalResearchAreaLife Sciences & Biomedicine - Other Topics-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.type.docTypeArticle-
dc.subject.keywordPlusIMAGE REGISTRATION-
dc.subject.keywordPlusNONRIGID REGISTRATION-
dc.subject.keywordPlusRADIOSURGERY-
dc.subject.keywordPlusALGORITHMS-
dc.subject.keywordPlusFRAMELESS-
dc.subject.keywordPlusCURVES-
dc.subject.keywordPlusHEAD-
dc.subject.keywordPlus2D-
dc.subject.keywordAuthorMesh deformation-
dc.subject.keywordAuthorDeformable registration-
dc.subject.keywordAuthorAutomatic correspondence-
dc.subject.keywordAuthorRadial basis function-
dc.subject.keywordAuthorRobust point matching-
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