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Non-Rigid Ultrasound Image Registration Based on Intensity and Local Phase Information

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dc.contributor.authorWoo, Jonghye-
dc.contributor.authorHong, Byung-Woo-
dc.contributor.authorHu, Chang-Hong-
dc.contributor.authorShung, K. Kirk-
dc.contributor.authorKuo, C. -C. Jay-
dc.contributor.authorSlomka, Piotr J.-
dc.date.available2019-05-30T03:37:03Z-
dc.date.issued2009-03-
dc.identifier.issn1939-8018-
dc.identifier.issn1939-8115-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/23288-
dc.description.abstractA non-rigid ultrasound image registration method is proposed in this work using the intensity as well as the local phase information under a variational framework. One application of this technique is to register two consecutive images in an ultrasound image sequence. Although intensity is the most widely used feature in traditional ultrasound image registration algorithms, speckle noise and lower image resolution make the registration process difficult. By integrating the intensity and the local phase information, we can find and track the non-rigid transformation of each pixel under diffeomorphism between the source and target images. Experiments using synthetic and cardiac images of in vivo mice and human subjects are conducted to demonstrate the advantages of the proposed method.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-
dc.titleNon-Rigid Ultrasound Image Registration Based on Intensity and Local Phase Information-
dc.typeArticle-
dc.identifier.doi10.1007/s11265-008-0218-2-
dc.identifier.bibliographicCitationJOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, v.54, no.1-3, pp 33 - 43-
dc.description.isOpenAccessN-
dc.identifier.wosid000265085600005-
dc.identifier.scopusid2-s2.0-58149267891-
dc.citation.endPage43-
dc.citation.number1-3-
dc.citation.startPage33-
dc.citation.titleJOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY-
dc.citation.volume54-
dc.type.docTypeArticle-
dc.publisher.location미국-
dc.subject.keywordAuthorUltrasound imaging-
dc.subject.keywordAuthorImage registration-
dc.subject.keywordAuthorLocal phase-
dc.subject.keywordAuthorVariational framework-
dc.subject.keywordPlusELASTIC REGISTRATION-
dc.subject.keywordPlusBOUNDARY DETECTION-
dc.subject.keywordPlusOPTICAL-FLOW-
dc.subject.keywordPlusSEQUENCES-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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소프트웨어대학 (AI학과)
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