Work

An Airway Tree-shape Model for Geodesic Airway Branch Labeling

Year: 2011

Type: article

Abstract: . We present a mathematical airway tree-shape framework where airway trees are compared using geodesic distances. The framework consists of a rigorously defined 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.

Authors: Feragen, Aasa, Pechin, Lo, Gorbunova, Vladlena, Nielsen, Mads, Dirksen, Asger, Reinhardt, Joseph, M., Lauze, François, de Bruijne, Marleen

Institutions: University of Copenhagen, University of Iowa

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Imperial College London, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, Ministry of Education, Culture, Sports, Science and Technology, Austrian Science Fund, National Institutes of Health, National Heart, Lung, and Blood Institute

OpenAlex ID: W2900355026

FWCI: 1.377

Cites: 13

Cited by: 6

Related to: 10