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dc.contributor.authorArif, Omar
dc.contributor.authorSundaramoorthi, Ganesh
dc.contributor.authorHong, Byungwoo
dc.contributor.authorYezzi, Anthony J.
dc.date.accessioned2015-08-03T12:08:30Z
dc.date.available2015-08-03T12:08:30Z
dc.date.issued2014-09
dc.identifier.issn02780062
dc.identifier.doi10.1109/TMI.2014.2325040
dc.identifier.urihttp://hdl.handle.net/10754/563740
dc.description.abstractWe propose a method for tracking structures (e.g., ventricles and myocardium) in cardiac images (e.g., magnetic resonance) by propagating forward in time a previous estimate of the structures using a new physically motivated motion estimation scheme. Our method estimates motion by regularizing only within structures so that differing motions among different structures are not mixed. It simultaneously satisfies the physical constraints at the interface between a fluid and a medium that the normal component of the fluid's motion must match the normal component of the medium's motion and the No-Slip condition, which states that the tangential velocity approaches zero near the interface. We show that these conditions lead to partial differential equations with Robin boundary conditions at the interface, which couple the motion between structures. We show that propagating a segmentation across frames using our motion estimation scheme leads to more accurate segmentation than traditional motion estimation that does not use physical constraints. Our method is suited to interactive segmentation, prominently used in commercial applications for cardiac analysis, where segmentation propagation is used to predict a segmentation in the next frame. We show that our method leads to more accurate predictions than a popular and recent interactive method used in cardiac segmentation. © 2014 IEEE.
dc.description.sponsorshipThis work was supported in part by KAUST Baseline and Visual Computing Center funding, Korea NRF-2010-220-D00078 and NRF-2011-0007898, and the National Science Foundation (NSF) under Grant CCF-1347191 and Grant CMMI-1068624.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://arxiv.org/abs/arXiv:1402.1503v1
dc.subjectCardiac magnetic resonance image (MRI) segmentation
dc.subjectimage registration
dc.subjectmotion estimation
dc.subjecttracking
dc.titleTracking using motion estimation with physically motivated inter-region constraints
dc.typeArticle
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalIEEE Transactions on Medical Imaging
dc.contributor.institutionDepartment of Computer Science, Chung-Ang University, Seoul 156-756, South Korea
dc.contributor.institutionSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States
dc.identifier.arxividarXiv:1402.1503
kaust.personArif, Omar
kaust.personSundaramoorthi, Ganesh


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