Magnetic resonance electrical impedance tomography (MREIT) is used to produce high resolution images of true conductivitv distribution. Images are reconstructed by utilising measurements of magnetic flux density distribution and surface potentials. Surface potential measurements are needed to reconstruct true conductivity values. In this study, a novel MREIT reconstruction algorithm is developed to generate conductivity images without utilizing the surface potential measurements. The proposed algorithm and its noise performance are evaluated.