The Detection, Separation and Quantification of Brain Tumour via MRI Images

Abstract: Magnetic Resonance Imaging is generally used for the diagnosis of brain tumour. In this paper the gradient differential as a main principle for brain tumour detection, separation and quantification. The pre-processing step is done by denoising and enhancing image. It is partitioned into 4 equal quadrants and locates the maximum entropy area for evaluating the exact tumour portion. It avoids live cell and consider the dead cell. By applying the extended maxima and regional maxima the image is obtained. It will evaluate the tumour size, the execution time and entropy of images. The results show that proposed method requires 3.22 seconds. It is more efficient and easy to implementation.

Keywords: MRI, Tumour, Entropy, Boundary, Extended maxima transform.