Codimension - Two Geodesic Active Contours for the Segmentation of Tubular Structures
Abstract
Curve evolution schemes for segmentation, implemented with level set methods, have become an important approach in computer vision. Previous work has modeled evolving contours which are curves in 2D or surfaces in 3D. Our objective is to explore recent mathematical work enabling the evolution of manifolds of higher co-dimension. We consider 1D curves in 3D (codimension-two) for the application of automatically, segmenting blood vessels in volumetric magnetic resonance angiography (MRA) images. This paper describes the theoretical foundations of our system, CURVES, then provides segmentation results compared against segmentation obtained interactively by a neurosurgeon. Segmentation of bronchi in lung computed tomography (CT) scans are also presented. The new experiments, comparisons to manual segmentation, and sample comparison to the use of a codimension-one regularization force are the primary contributions of this report.
Cite
Text
Lorigo et al. "Codimension - Two Geodesic Active Contours for the Segmentation of Tubular Structures." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.855853Markdown
[Lorigo et al. "Codimension - Two Geodesic Active Contours for the Segmentation of Tubular Structures." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/lorigo2000cvpr-codimension/) doi:10.1109/CVPR.2000.855853BibTeX
@inproceedings{lorigo2000cvpr-codimension,
title = {{Codimension - Two Geodesic Active Contours for the Segmentation of Tubular Structures}},
author = {Lorigo, Liana M. and Grimson, W. Eric L. and Faugeras, Olivier D. and Keriven, Renaud and Kikinis, Ron and Nabavi, Arya and Westin, Carl-Fredrik},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2000},
pages = {1444-1451},
doi = {10.1109/CVPR.2000.855853},
url = {https://mlanthology.org/cvpr/2000/lorigo2000cvpr-codimension/}
}