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.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/5928 |
| Date | 11 August 1999 |
| Creators | Lorigo, Liana M., Faugeras, Olivier, Grimson, W.E.L., Keriven, Renaud, Kikinis, Ron, Westin, Carl-Fredrik |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Format | 14 p., 6965388 bytes, 918981 bytes, application/postscript, application/pdf |
| Relation | AIM-1662 |
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