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dc.contributor.authorChing, YTen_US
dc.contributor.authorYeh, Cen_US
dc.date.accessioned2014-12-08T15:25:13Z-
dc.date.available2014-12-08T15:25:13Z-
dc.date.issued2005en_US
dc.identifier.isbn0-8194-5721-3en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/17603-
dc.identifier.urihttp://dx.doi.org/10.1117/12.595318en_US
dc.description.abstractFinding the centerline of the tubular structure helps to segment or analyze the organs such as the vessels or neuron fibers in medical images. This paper described a semi-automatic method using the minimum cost path finding and Hessian matrix analysis in scale space to calculate the centerline of tubular structure organs. Unlike previous approaches, exhaustive search for tine-like shapes in every scale is prevent. Centerline pixels candidates and the width of the vessel are extracted by analyzing the intensity profile along the gradient vectors in the image. A verification procedure using Hassian matrix analysis with the scale obtained from the gradient analysis is applied to those candidates. Results obtained from the Hessian matrix analysis are used to construct a weighted graph. Finding the minimum cost path in the graph gives the centerline of the tubular structure. The method is applied to find the centerline of the vessels in the 2D angiogram and the neuron fibers in the 3D confocal microscopic images.en_US
dc.language.isoen_USen_US
dc.subjectHessian matrix analysisen_US
dc.subjectcenterlineen_US
dc.subjectgraph algorithmen_US
dc.subjectangiogramen_US
dc.subjectconfocal microscopic imageen_US
dc.titleIdentify the centerline of tubular structure in medical imagesen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1117/12.595318en_US
dc.identifier.journalMedical Imaging 2005: Image Processing, Pt 1-3en_US
dc.citation.volume5747en_US
dc.citation.spage2002en_US
dc.citation.epage2011en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000230109602059-
Appears in Collections:Conferences Paper


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