DocumentCode
442422
Title
Model-guided segmentation of opacified thorax vessels
Author
Sebbe, Raphael ; Gosselin, Bernard ; Coche, Emmanuel ; Macq, B.
Author_Institution
Univ. Catholique de Louvain, Brussels, Belgium
Volume
1
fYear
2005
fDate
11-14 Sept. 2005
Abstract
We propose a novel method, guided slice marching to segment opacified vessels tree in 3D image sets (CT scans). It combines a front propagation technique, slice marching, and an anatomical model to guide the propagation for solving the particular case of touching vessels. The formulation of this method, which is based on interface evolution theory, enables easy integration of an a priori model of knowledge of vessels topology to handle the case of touching vessels, where image-based method systematically fails. The a priori knowledge is expressed as parametric curves that model vessels centerline. That information is injected in the fast marching method through the speed of propagation, setting it to zero at missing vessels boundaries. The model is intended to be re-used across patients, and must therefore be registered with the image.
Keywords
image registration; image segmentation; medical signal processing; 3D image sets; CT scans; anatomical model; front propagation technique; guided slice marching; image registration; interface evolution theory; model-guided segmentation; opacified thorax vessels; opacified vessels segmentation; touching vessels; vessels topology; Arteries; Bifurcation; Biomedical imaging; Computed tomography; Image reconstruction; Image segmentation; Labeling; Shape; Thorax; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN
0-7803-9134-9
Type
conf
DOI
10.1109/ICIP.2005.1529678
Filename
1529678
Link To Document