Estimation of boundaries of fuzzy (cancer) structures

Abstract

The high spatial resolution of medical images and their pixel interactions gives a huge amount of information which can be used to generate, select and combine properties. With this properties fuzzy parts within images like cancer or nerve connections and especially their boundaries can be isolated or estimated. The requirements for this topic are a good signal model, the representation of fuzzy regions by fuzzy functions and fuzzy measures iteratively combined by the fuzzy integral [1]. With an adapted approximation and an effective algorithm for description of multiple stochastic properties the results of questions are obtained in real time [2]. The estimation of the boundary is important for surgery and irradiation planning