ML Anthology

Deformable Tree Models for 2D and 3D Branching Structures Extraction

Julien Mille, Laurent D. Cohen
CVPRW 2009 pp. 149-156
doi:10.1109/CVPRW.2009.5204049 /cvprw/2009/mille2009cvprw-deformable/

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.

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Cite

Text

Mille and Cohen. "Deformable Tree Models for 2D and 3D Branching Structures Extraction." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009. doi:10.1109/CVPRW.2009.5204049

Markdown

[Mille and Cohen. "Deformable Tree Models for 2D and 3D Branching Structures Extraction." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009.](https://mlanthology.org/cvprw/2009/mille2009cvprw-deformable/) doi:10.1109/CVPRW.2009.5204049

BibTeX

@inproceedings{mille2009cvprw-deformable,
  title     = {{Deformable Tree Models for 2D and 3D Branching Structures Extraction}},
  author    = {Mille, Julien and Cohen, Laurent D.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2009},
  pages     = {149-156},
  doi       = {10.1109/CVPRW.2009.5204049},
  url       = {https://mlanthology.org/cvprw/2009/mille2009cvprw-deformable/}
}