In short, the integration and effectiveness of Fourier Transform (FT) techniques in enhancing the quality and efficiency of Magnetic Resonance Imaging (MRI) was studied. Given the dire role of MRI in medical diagnostics, improving image contrast, and reducing artifact presence are paramount for more precise disease diagnosis and treatment monitoring. The research began with a detailed review of the fundamental principles causing both MRI technologies, and the role of Fourier Transformation (FT). Their interdependence was also emphasized. Alongside, the theoretical foundation was explored through a complete literature review, highlighting the recent advancements in MRI imaging techniques. Subsequent experimental analyses engaged MATLAB-based simulations to implement various FT techniques, including the Fast Fourier Transform (FFT). These simulations were designed to assess the effectiveness of FT in improving spatial resolution and signal-to-noise ratios under different imaging conditions. Additionally, practical aspects of FT, such as phase encoding and the handling of noise and signal decay in MRI scans, were examined. For better understanding, diagrams were added throughout the paper. Notable outcomesfrom this research demonstrated that the application of FFT significantly reduced processing times while maintaining high image quality, particularly in dynamic imaging scenarios where speedy data acquisition is necessary. Moreover, texture analysis, which measures various parameters, was discussed, and the analysis was done on the images. Even the graph lines were presented from figures 32 to 37, along with some comments.