3D Fast Fourier Transform Analysis for the Detection of Alzheimer’s Disease in MRI Images

Fast Fourier Transform (FFT) is the transform used for the determination of the frequency domain features and description of the signal or image. The frequency components of the images are analyzed using the FFT techniques in image processing. In the study, Three-dimensional FFT features are analyzed to diagnose Alzheimer’s Disease (AD) at early stages. The medical images are obtained from the standardized database which is acquired using Magnetic resonance Imaging (MRI). MRI images of different AD stages are acquired. Fast Fourier Transform is applied to three-dimensional spatial images in MRI to analyze the frequency components in each domain. Different features like r-Value, Phi, Theta, Spectral coefficients, and Fourier coefficients. The significant feature difference between the two types of 3D MRI images is analyzed using statistical techniques. Thus, the FFT features possess a high efficiency in the detection of Alzheimer’s Disease.