Characterization of Brain Tumor in Magnetic Resonance Imaging by using Image Processing

Abstract

This study was carried out in order to characterization of brain tumor in MRI by applying texture analysis to the brain tissues represented on MRI to recognizes the brain tumors from the other brain tissues which included: grey and white matter, CSF and brain tumor. This study was carried out in the period from January 2015to June 2015 in Khartoum state at Alnelain hospital. The images were obtained by Philips inters 1.5 Tesla MRI systems. The data of this study collected from 50 patients having axial, sagittal and coronal views that include brain tumor and they were selected randomly from a set of 200 patients. the data were extracted from the image using 3×3pixels window inside the window the first order statistics were calculated and used to classify the brain MRI into one of the four tissues mentioned earlier. The window scans the whole image by interlacing it one pixel horizontally, then start again from the send line when the above one was completed till the end of the image. The results of this study showed that the overall accuracy of classification process was 94.8% and for the tumor the sensitivity was 97.3% white matter and grey matter showed a classification accuracy of 95.7% and 89.7% and for CSF was 94.3%. In conclusion these results showed that brain tumor can be classified successfully and delineated using texture analysis with a minimum effort.