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3D CTA Image Segmentation With A Generalized Cylinder-Based Tree Model

Cohen, Laurent D.; Mille, Julien (2010), 3D CTA Image Segmentation With A Generalized Cylinder-Based Tree Model, Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on, IEEE, p. 1045-1048

Type
Communication / Conférence
Date
2010
Conference title
ISBI 2010
Conference date
2010-04
Conference city
Rotterdam
Conference country
Pays-Bas
Book title
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Publisher
IEEE
ISBN
E-ISBN : 978-1-4244-4126-6 Print ISBN: 978-1-4244-4125-9
Pages
1045-1048
Metadata
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Author(s)
Cohen, Laurent D.
Mille, Julien
Abstract (EN)
The proposed model is devoted to the segmentation and reconstruction of 3D vascular trees. We rely on an explicit representation of a deformable tree, where topological relationships between segments are modeled. This allows easy posterior interactions and quantitative analysis, such as measuring diameters or lengths of vessels. Starting from a unique user-provided root point, an initial tree is built with a technique relying on minimal paths. Within the constructed tree, the central curve of each segment and an associated variable radius function evolve in order to satisfy a region homogeneity criterion. We present results obtained on 3D CTA images of the carotid bifurcation.
Subjects / Keywords
Minimal path method; 3D vascular trees; segmenting images 3D