Spectral Computed Tomography (spectral CT) is a newly emerging, medical imaging modality. It extends CT by acquiring multiple datasets over different x-ray energy bins. As the x-ray absorption of materials is energy dependent, the energy bins together provide significantly more information about the composition of the subject. To exploit the full potential of spectral CT, there are many new image processing challenges including reconstruction, material decomposition, and visualization. This paper introduces the development of a unique reconstruction algorithm which fully exploits the nature of spectral CT data. A small application called mART was developed which implements a standard Simultaneous Algebraic Reconstruction Technique (SART). mART will form the basis for future research and development. We demonstrate that in its current form it produces reconstructions of superior quality to the commercial reconstruction package Octopus CT which is the standard software adopted by our team. In addition, future plans for the reconstruction algorithm will be discussed.