Extraction of lesions in cerebral images of scanner for a telediagnosis system

Cancer is one of the most widespread diseases in the world. Researchers thought of carrying out systems that will be the assistance tools for the decision and diagnosis to the doctors. The setting on network of such systems permits to have an application of tele-diagnosis, the goal is to bring "a second opinion" by a distant specialist to validate or invalidate the diagnosis established by the local expert, or to help this latter in making a correct diagnosis. To design such systems, several aspects are to dealt with. One of the most significant aspects is the problem of the big size of the medical images compared to the transmission flow. For that, in the case of the cerebral cancer we propose to design a stage for extracting the lesions, its role is extracting the lesion with the respect of its size, its shape and its position. Since, the size of images to be sent decreases, because they are in two grey levels (black and white). The second goal of this stage is to simplify the image for the doctor with preserve all morphological characteristics of the lesions. For that, we can proceed by two manners, by extracting the edges of the lesion, or extracted all its areas. We use algorithms based on mathematical morphology operators, promising results were obtained, that permits to the doctor to begin the diagnosis step in a sure manner in local or distant areas. In this paper we present mainly our tele-diagnosis system and the various algorithms used for designing the stage of lesion extraction.