Fuzzy fusion and belief updating. Application to esophagus wall detection on ultra sound images - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2000

Fuzzy fusion and belief updating. Application to esophagus wall detection on ultra sound images

Résumé

In medical ultrasound imaging, information is corrupted by inaccuracy (due to data, acquisition modality, noise), uncertainty (due to noise and missing data) and ambiguity (several anatomical structures having the same ultrasound respond). In this work, we propose a 3D segmentation method of esophagus inner and outer wall from endosonographic sequences (composed of separate slices uniformly distributed), which minimizes these information alterations thanks to the cooperation of different models. The proposed solution is based on the use of a stochastic optimization algorithm, fully adapted to our particular case. The goal is to find the optimal surface, which verifies regularity conditions and maximizes a given criteria. Moreover, this approach cooperates with a data fusion based processing, which allows a prior knowledge integration with its own inaccuracy. All these components are integrated in a coherent architecture hierarchically organized which allows belief updating. First results obtained on real images acquired in a medical center are presented.
Fichier non déposé

Dates et versions

hal-02139330 , version 1 (24-05-2019)

Identifiants

  • HAL Id : hal-02139330 , version 1

Citer

Renaud Debon, Basel Solaiman, Christian Roux, Jean Michel Cauvin, M. Robazkiewicz. Fuzzy fusion and belief updating. Application to esophagus wall detection on ultra sound images. 3 rd International Conference on information Fusion, Fusion 2000, Jul 2000, Paris, France. ⟨hal-02139330⟩
10 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More