Identification automatique des régions d'intérêts sur des images tomographiques rénales
Résumé
We propose, in this paper, an original approach in a statistical framework, for fully automatic delineation of kidneys (healthy and pathological) in 2D CT images. Our approach has two main steps: a localisation step followed by a delineation step. The localisation step is guided by a statistically learned prior spatial model in one hand and a grey level prior model in a second hand. The second step, utilizes the localisation results in order to precisely delineate the kidney's regions using a set of learned IF-THEN rules. The proposed approach is tested on clinically acquired images and promising results are obtained.
Domaines
Traitement des images [eess.IV]
Origine : Fichiers produits par l'(les) auteur(s)