Image Segmentation and Identification of Brain Tumor using FFT Techniques of MRI Image

The image processing tools are extensively used on the development of new algorithms and mathematical tools for the advanced processing of medical and biological images. Given an MRI scan, first segment the tumor region in the MRI brain image and study the pixel intensity values. A detailed procedure using Matlab script is written to extract tumor region in CT scan Brain Image and MRI Scan Brain Image. MRI Scan has higher resolution and easier identification compare to CT scan Brain image. Fast Fourier Transform is used here to study the tumor region of MRI Brain Image in terms of its pixel intensity. Types of FFT like Zero padded FFT, Windowed FFT are used to study the signal converted from the MRI Brain Image. It is found that lesser spectral leakage for Zero Padded Windowed FFT than other Types of FFT and hence the tumor cell identification is easier than other methods. Finally higher pixel intensity values of the cells gives identification of presence and activeness of tumor cells.