Co-dimension 2 Geodesic Active Contours for MRA Segmentation

Co-dimension 2 Geodesic Active Contours for MRA Segmentation

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...

Full description

Bibliographic Details
Main Authors: Lorigo, Liana M., Faugeras, Olivier, Grimson, W.E.L., Keriven, Renaud, Kikinis, Ron, Westin, Carl-Fredrik
Language:en_US
Published: 2004
Subjects:
medical image analysis
segmentation
smagnetic resonance angiography
active contours
slevel sets
Online Access:http://hdl.handle.net/1721.1/5928
Description
Summary: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.

Similar Items