A hybrid model for extraction of brain tumor in MR images
Ankit Vidyarthi, Namita Mittal · 2013
Brain tumor is one of the most life- threatening diseases in the field of medical science. A proper diagnosis of such a disease is required in its early phase of its generation. Various methods have been proposed for the extraction of the abnormality regions from the brain tumor Magnetic Resonance (MR) images. However, most of the methods proposed in the literature have drawback of losing background image. In this paper, a hybrid model is proposed which identifies the region of interest using fused results of threshold segmentation and morphological operations. Initially, an abnormal brain MR image is processed with Otsu threshold based segmentation and morphological operations like erosion. Further, both the segmented resultant images are fused with the original MR image to preserve the background and correctly identification of the tumor region.