DocumentCode
2959982
Title
Deformable tree models for 2D and 3D branching structures extraction
Author
Mille, Julien ; Cohen, Laurent D.
Author_Institution
CEREMADE, Univ. Paris Dauphine, Paris, France
fYear
2009
fDate
20-25 June 2009
Firstpage
149
Lastpage
156
Abstract
The proposed model is devoted to the segmentation and reconstruction of branching structures, like vascular trees. We rely on an explicit representation of a deformable tree, where topological relationships between segments are modeled. This allows easy posterior interactions and quantitative analysis, such as measuring diameters or lengths of vessels. Starting from a unique user-provided root point, an initial tree is built with a technique relying on minimal paths. Within the constructed tree, the central curve of each segment and an associated variable radius function evolve in order to satisfy a region homogeneity criterion.
Keywords
feature extraction; image reconstruction; image segmentation; 2D branching structures extraction; 3D branching structures extraction; branching structure reconstruction; branching structure segmentation; deformable tree model; posterior interaction; quantitative analysis; Angiography; Computed tomography; Data mining; Deformable models; Image segmentation; Length measurement; Pixel; Retina; Tree data structures; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
Conference_Location
Miami, FL
ISSN
2160-7508
Print_ISBN
978-1-4244-3994-2
Type
conf
DOI
10.1109/CVPRW.2009.5204049
Filename
5204049
Link To Document