An airway tree-shape model for geodesic airway branch labeling

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Aasa Feragen, Pechin Chien Pau Lo, Vladlena Gorbunova, Mads Nielsen, Asger Dirksen, Joseph M. Reinhardt, Francois Bernard Lauze, Marleen de Bruijne

We present a mathematical airway tree-shape framework
where airway trees are compared using geodesic distances. The framework
consists of a rigorously dened shape space for treelike shapes,
endowed with a metric such that the shape space is a geodesic metric
space. This means that the distance between two tree-shapes can be realized
as the length of the geodesic, or shortest deformation, connecting
the two shapes. By computing geodesics between airway trees, as well as
the corresponding airway deformation, we generate airway branch correspondences.
Correspondences between an unlabeled airway tree and a set
of labeled airway trees are combined with a voting scheme to perform
automatic branch labeling of segmented airways from the challenging
EXACT'09 test set. In spite of the varying quality of the data, we obtain
robust labeling results.
Original languageEnglish
Title of host publicationMFCA 2011 : 3rd MICCAI Workshop on Mathematical Foundations of Computational Anatomy
EditorsXavier Pennec, Sarang Joshi, Mads Nielsen
Number of pages12
Publication date2011
Publication statusPublished - 2011
Event3rd MICCAI Workshop on Mathematical Foundations of Computational Anatomy - Westin Harbour Castle, Toronto, Canada
Duration: 22 Sep 201122 Sep 2011
Conference number: 3


Conference3rd MICCAI Workshop on Mathematical Foundations of Computational Anatomy
LocationWestin Harbour Castle

ID: 33806920