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dc.contributor.authorChen, Pengwenen_US
dc.contributor.authorLin, Ching-Longen_US
dc.contributor.authorChern, I-Liangen_US
dc.date.accessioned2014-12-08T15:32:47Z-
dc.date.available2014-12-08T15:32:47Z-
dc.date.issued2013en_US
dc.identifier.issn1936-4954en_US
dc.identifier.urihttp://hdl.handle.net/11536/22907-
dc.identifier.urihttp://dx.doi.org/10.1137/12086443Xen_US
dc.description.abstractWe study the performance of optimal mass transport-based methods applied to point-set matching problems. The present study, which is based on the L2 mass transport cost, states that perfect matches always occur when the product of the point-set cardinality and the norm of the curl of the nonrigid deformation field does not exceed some constant. This analytic result is justified by a numerical study of matching two sets of pulmonary vascular tree branch points whose displacement is caused by the lung volume changes in the same human subject. The nearly perfect match performance verifies the effectiveness of this mass transport-based approach.en_US
dc.language.isoen_USen_US
dc.subjectpoint-set matching problemsen_US
dc.subjectoptimal Monge-Kantorovich mass transporten_US
dc.subjectWasserstein metricsen_US
dc.subjectlung registrationen_US
dc.titleA Perfect Match Condition for Point-Set Matching Problems Using the Optimal Mass Transport Approachen_US
dc.typeArticleen_US
dc.identifier.doi10.1137/12086443Xen_US
dc.identifier.journalSIAM JOURNAL ON IMAGING SCIENCESen_US
dc.citation.volume6en_US
dc.citation.issue2en_US
dc.citation.spage730en_US
dc.citation.epage764en_US
dc.contributor.department應用數學系zh_TW
dc.contributor.department數學建模與科學計算所(含中心)zh_TW
dc.contributor.departmentDepartment of Applied Mathematicsen_US
dc.contributor.departmentGraduate Program of Mathematical Modeling and Scientific Computing, Department of Applied Mathematicsen_US
dc.identifier.wosnumberWOS:000326033500001-
dc.citation.woscount0-
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