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dc.contributor.authorChing, YTen_US
dc.contributor.authorChen, SJen_US
dc.contributor.authorChang, CLen_US
dc.contributor.authorLin, CYen_US
dc.contributor.authorLiu, YHen_US
dc.date.accessioned2014-12-08T15:39:30Z-
dc.date.available2014-12-08T15:39:30Z-
dc.date.issued2004-03-01en_US
dc.identifier.issn1089-7771en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TITB.2004.824739en_US
dc.identifier.urihttp://hdl.handle.net/11536/26962-
dc.description.abstractThe apical four-chamber view echocardiogram collected by a transthoracic transducer can be used to evaluate the left ventricle volume. In the diastole, the left ventricle and left atrium become one chamber. In this case, the left ventricle and left atrium need to be separated using a "mitral annular line" so the volume of the left ventricle can be estimated. In this paper, a nearly automatic method for identifying the mitral annular lines from two-dimensional (2-D) + one-dimensional (1-D) precordial four-chamber view echocardiogram is presented. This method employs the optical flow technique and graph-search approach. The mitral annular line sequence is found by finding the shortest path in a weighted directed graph. The vertices in the graph are candidates for the mitral annular lines. The weights on the directed edges are determined using the optical flow technique. The proposed method requires only a physician to provide, a point that is always in the left ventricular chamber. Experimental results show that the average error for the left ventricle volume obtained based on the computed mitral annular lines is 3%.en_US
dc.language.isoen_USen_US
dc.subjectechocardiogramen_US
dc.subjectleft ventricleen_US
dc.subjectmitral annular lineen_US
dc.subjectoptical flowen_US
dc.subjectshortest path algorithmen_US
dc.subjectsignal-adaptive maximum-likelihood (SML) filteren_US
dc.titleFinding the mitral annular lines from 2-D+1-D precordial echocardiogram using graph-search techniqueen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TITB.2004.824739en_US
dc.identifier.journalIEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINEen_US
dc.citation.volume8en_US
dc.citation.issue1en_US
dc.citation.spage1en_US
dc.citation.epage4en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000220158000001-
dc.citation.woscount7-
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