Model Based Detection of Tubular Structures in 3D Images (2000)
Cached
Download Links
| Citations: | 22 - 2 self |
BibTeX
@MISC{Krissian00modelbased,
author = {Karl Krissian and Gregoire Malandain and Nicholas Ayache and Regis Vaillant and Yves Trousset and Inria Sophia Antipolis and Sophia Antipolis Cedex (france},
title = {Model Based Detection of Tubular Structures in 3D Images},
year = {2000}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
Detection of tubular structures in 3D images is an important issue for vascular detection in medical imaging. We present in this paper a new approach for centerline detection and reconstruction of 3D tubular structures. Several models of vessels are introduced for estimating the sensivity of the image second order derivatives according to elliptical cross-section, to curvature of the axis, or to partial volume e#ects. Our approach uses a multiscale analysis for extracting vessels of di#erent sizes according to the scale. For a given model of vessel, we derive an analytic expression of the relationship between the radius of the structure and the scale at which it is detected. The algorithm gives both centerline extraction and radius estimation of the vessels allowing their reconstruction. The method has been tested on both synthetic and real images, with encouraging results. This work was done in collaboration with GEMS .
