Automated tumor segmentation using level set methods

In the framework of detection, diagnostic and treatment planning of the tumours, the Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) have become the most efficient techniques for body and brain examination. Radiologists take usually several hours to segment manually the region of interest (ROI) on images to obtain some information about patient pathology. It is very time consuming. The aim of our study is to propose an automatic solution to this problem to help the radiologist’s work. This paper presents an approach of tumour segmentation based on a fast level set method. The results obtained by the proposed method dealing with both PET and MRI images are encouraging.