Co-occurrence matrices are one of three texture algorithms commonly used on Computed Tomography (CT) images. In this paper we analyze the directional invariance of Co-occurrence matrices for the purpose of reducing their runtime by reducing the number of directions analyzed without negatively affecting the quality of the texture data extracted.