Cahiers du CEREMADE

Unité Mixte de Recherche du C.N.R.S. N°7534
 
Abstract : The aim of this article is to build trajectories for virtual endoscopy inside 3D medical images, using the most automatic way. Usually the construction of this trajectory is left to the clinician who must define some points on the path manually using three orthogonal views. But for a complex structure such as the colon, those views give little information on the shape of the object of interest. The path construction in 3D images becomes a very tedious task and precise a priori knowledge of the structure is needed to determine a suitable trajectory. We propose a more automatic path tracking method to overcome those drawbacks: we are able to build a path, given only one or two end points and the 3D image as inputs. This work is based on previous work in (Cohen-Kimmel) for extracting paths in 2D images using Fast Marching algorithm. Our original contribution is to extend this technique to 3D and give new improvements of the approach that are relevant in 2D as well as in 3D. We also introduce several methods to reduce the computation cost and the user interaction. We also closely examine a fast implementation of the path extraction. Synthetic and real medical images are used to illustrate each contribution. We show that this technique can be efficiently applied to the problem of finding a centered path in tubular anatomical structures with minimum interactivity, and we apply it to path construction for virtual endoscopy. Virtual endoscopy results are shown in various anatomical regions (colon, brain vessels, arteries) with different 3D imaging protocols (CT, MR).
 
 
FAST EXTRACTION OF MINIMAL PATHS IN 3D IMAGES AND APPLICATIONS TO VIRTUAL ENDOSCOPY
COHEN Laurent, DESCHAMPS Thomas
2000-26
22-06-2000
 
Université de PARIS - DAUPHINE
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