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Deformable tree models for 2D and 3D branching structures extraction

Cohen, Laurent D.; Mille, Julien (2009), Deformable tree models for 2D and 3D branching structures extraction, Computer Vision and Pattern Recognition Workshops, 2009, CVPR Workshops 2009, IEEE Computer Society Conference on, IEEE, p. 149-156. http://dx.doi.org/10.1109/CVPRW.2009.5204049

Type
Communication / Conférence
Date
2009
Conference title
MMBIA 2009
Conference date
2009-06
Conference city
Miami
Conference country
États-Unis
Book title
Computer Vision and Pattern Recognition Workshops, 2009, CVPR Workshops 2009, IEEE Computer Society Conference on
Publisher
IEEE
ISBN
E-ISBN : 978-1-4244-3993-5 Print ISBN: 978-1-4244-3994-2
Pages
149-156
Publication identifier
http://dx.doi.org/10.1109/CVPRW.2009.5204049
Metadata
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Author(s)
Cohen, Laurent D.
Mille, Julien
Abstract (EN)
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.
Subjects / Keywords
Minimal path method; segmenting tree structures

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