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dc.contributor.authorChing, YTen_US
dc.contributor.authorLiu, YHen_US
dc.contributor.authorChang, CLen_US
dc.contributor.authorChen, JSJen_US
dc.date.accessioned2019-04-03T06:47:13Z-
dc.date.available2019-04-03T06:47:13Z-
dc.date.issued2001-01-01en_US
dc.identifier.isbn0-8194-4007-8en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://dx.doi.org/10.1117/12.428169en_US
dc.identifier.urihttp://hdl.handle.net/11536/19006-
dc.description.abstractEchocardiography is the most convenient means for both physicians and patients for heart disease diagnosis. The 3D+1D echocardiogram. provides important information for evaluation of the 3D heart function such as the ejection fraction or wall motion. The most basic task to evaluate such functions of a heart is to segment left ventricles and reconstruct the the 3D geometric model of left ventricle from a set of echocardiographic images. Since there are many images involved, the method should not need too many user assists. In this work, we design a method for reconstructing the left ventricles with very few user assists.en_US
dc.language.isoen_USen_US
dc.subjectechocardiogramen_US
dc.subject3D modelen_US
dc.subjectleft ventricleen_US
dc.subjectsnake modelen_US
dc.subjectalpha-shapeen_US
dc.subjectgraph algorithmen_US
dc.titleAlmost automatic method for reconstruction 3D geometric model of the left ventricle from 3D+1D precordial echocardiogramen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1117/12.428169en_US
dc.identifier.journalMEDICAL IMAGING 2001: PHYSIOLOGY AND FUNCTION FROM MULTIDIMENSIONAL IMAGESen_US
dc.citation.volume4321en_US
dc.citation.spage436en_US
dc.citation.epage441en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000171469100051en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper


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