title: Fuzzy modelling of different tumorous cerebral tissues on MRI images based on fusion of feature information.
abstract: A fuzzy modelling approach is being proposed in this paper to estimate the model of tumorous cerebral tissues on MRI images. According to the graduality of description of neuro-radiologists, two tables have been combined to address two types of potential categories of glioma characteristics one is the array of different tissues versus gray level, and the other is the possibility of different tissues belonging to tumor. A hierarchical estimation structure has been proposed to estimate the models of tumorous cerebral tissues on MRI images by the fusion of this a priori knowledge. Through the model outline drawing, adjusting and parameters estimation, the result has shown that this is an efficient modelling method.
authors.affiliation: Department of Electronic Engineering, Tsinghua University, 100084, Beijing China; GREYC-CNRS UMR 6072, 6 Boulevard Maréchal Juin, 14050 Caen France. Fax:+86 10 62770317, Email: douwb@tsinghua.edu.cn; wdou@greyc.ensicaen.fr.
authors.forename: Weibei
authors.initials: W
authors.lastname: Dou
authors.forename: Qian
authors.initials: Q
authors.lastname: Wu
authors.forename: Yanping
authors.initials: Y
authors.lastname: Chen
authors.forename: Su
authors.initials: S
authors.lastname: Ruan
authors.forename: J-M
authors.initials: JM
authors.lastname: Constans