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dc.contributor.authorLorigo, Liana M.en_US
dc.contributor.authorFaugeras, Olivieren_US
dc.contributor.authorGrimson, W.E.L.en_US
dc.contributor.authorKeriven, Renauden_US
dc.contributor.authorKikinis, Ronen_US
dc.contributor.authorWestin, Carl-Fredriken_US
dc.date.accessioned2004-10-04T14:15:21Z
dc.date.available2004-10-04T14:15:21Z
dc.date.issued1999-08-11en_US
dc.identifier.otherAIM-1662en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5928
dc.description.abstractAutomatic 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.en_US
dc.format.extent14 p.en_US
dc.format.extent6965388 bytes
dc.format.extent918981 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-1662en_US
dc.subjectmedical image analysisen_US
dc.subjectsegmentationen_US
dc.subjectsmagnetic resonance angiographyen_US
dc.subjectactive contoursen_US
dc.subjectslevel setsen_US
dc.titleCo-dimension 2 Geodesic Active Contours for MRA Segmentationen_US


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