Compressed Sensing Magnetic Resonance Imaging Using Fourier and Non-Fourier Based Bunched Phase Encoding

This thesis focuses on biomedical image processing through the application of advance digital technology and data science. The project outcome will help to reduce data acquisition time of Magnetic Resonance Imaging (MRI) without compromising the image quality using cutting-edge compressed sensing technique to save time and cost of medical diagnosis and biomedical research. Major research institutions around the world are trying to achieve the above mentioned outcomes to save lives, whereas; my research has already discovered a new way of achieving this.