Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ching, YT | en_US |
dc.contributor.author | Liu, YH | en_US |
dc.contributor.author | Chang, CL | en_US |
dc.contributor.author | Chen, JSJ | en_US |
dc.date.accessioned | 2019-04-03T06:47:13Z | - |
dc.date.available | 2019-04-03T06:47:13Z | - |
dc.date.issued | 2001-01-01 | en_US |
dc.identifier.isbn | 0-8194-4007-8 | en_US |
dc.identifier.issn | 0277-786X | en_US |
dc.identifier.uri | http://dx.doi.org/10.1117/12.428169 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/19006 | - |
dc.description.abstract | Echocardiography 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.iso | en_US | en_US |
dc.subject | echocardiogram | en_US |
dc.subject | 3D model | en_US |
dc.subject | left ventricle | en_US |
dc.subject | snake model | en_US |
dc.subject | alpha-shape | en_US |
dc.subject | graph algorithm | en_US |
dc.title | Almost automatic method for reconstruction 3D geometric model of the left ventricle from 3D+1D precordial echocardiogram | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.doi | 10.1117/12.428169 | en_US |
dc.identifier.journal | MEDICAL IMAGING 2001: PHYSIOLOGY AND FUNCTION FROM MULTIDIMENSIONAL IMAGES | en_US |
dc.citation.volume | 4321 | en_US |
dc.citation.spage | 436 | en_US |
dc.citation.epage | 441 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000171469100051 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Conferences Paper |
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