Co-dimension 2 Geodesic Active Contours for MRA Segmentation

dc.creator	Lorigo, Liana M.
dc.creator	Faugeras, Olivier
dc.creator	Grimson, W.E.L.
dc.creator	Keriven, Renaud
dc.creator	Kikinis, Ron
dc.creator	Westin, Carl-Fredrik
dc.date	2004-10-04T14:15:21Z
dc.date	2004-10-04T14:15:21Z
dc.date	1999-08-11
dc.date.accessioned	2013-10-09T02:42:01Z
dc.date.available	2013-10-09T02:42:01Z
dc.date.issued	2013-10-09
dc.identifier	AIM-1662
dc.identifier	http://hdl.handle.net/1721.1/5928
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	Automatic and semi-automatic magnetic resonance angiography (MRA)s segmentation techniques can potentially save radiologists larges amounts of time required for manual segmentation and cans facilitate further data analysis. The proposed MRAs segmentation method uses a mathematical modeling technique whichs is well-suited to the complicated curve-like structure of bloods vessels. We define the segmentation task as ans energy minimization over all 3D curves and use a level set methods to search for a solution. Ours approach is an extension of previous level set segmentations techniques to higher co-dimension.
dc.format	14 p.
dc.format	6965388 bytes
dc.format	918981 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1662
dc.subject	medical image analysis
dc.subject	segmentation
dc.subject	smagnetic resonance angiography
dc.subject	active contours
dc.subject	slevel sets
dc.title	Co-dimension 2 Geodesic Active Contours for MRA Segmentation

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