DocumentCode
3173862
Title
Fully-automatic Branching Reconstruction Algorithm: Application to Vascular Trees
Author
Hijazi, Younis ; Bechmann, Dominique ; Cazier, David ; Kern, Cyril ; Thery, Sylvain
Author_Institution
CNRS, Univ. of Strasbourg, Strasbourg, France
fYear
2010
fDate
21-23 June 2010
Firstpage
221
Lastpage
225
Abstract
Reconstructing tubular structures with high-order branching is a difficult task to perform automatically. Medical applications in particular demand accurate models of such objects that fulfill specific topological and geometric criteria. Indeed, the reconstructed object should be a 2-manifold surface with compact, adaptive geometry. We present a generic algorithm for automatically reconstructing n-furcated tubular surfaces. Our approach relies on a strong underlying topological structure and a novel n-furcation reconstruction algorithm using convex entities.
Keywords
computer graphics; image reconstruction; medical computing; mesh generation; solid modelling; 2-manifold surface; adaptive geometry; full-automatic branching reconstruction algorithm; n-furcated tubular surface reconstruction; object reconstruction; tubular structure reconstruction; vascular trees; Biomedical equipment; Iterative algorithms; Medical services; Partitioning algorithms; Reconstruction algorithms; Robustness; Shape; Surface fitting; Surface reconstruction; Tree data structures; automatic; branching; furcation; half-edge; modeling; topology; vascular;
fLanguage
English
Publisher
ieee
Conference_Titel
Shape Modeling International Conference (SMI), 2010
Conference_Location
Aix-en-Provence
Print_ISBN
978-1-4244-7259-8
Electronic_ISBN
978-1-4244-7260-4
Type
conf
DOI
10.1109/SMI.2010.34
Filename
5521466
Link To Document