  Since X-ray tomography is now widely adopted in many different areas, it
becomes more crucial to find a robust routine of handling tomographic data to
get quality reconstructed images. Though there are several existing techniques,
it seems helpful to have a more automated method to remove the possible errors
that hinder clearer image reconstruction. Here, we proposed an alternative
method and new algorithm using the sinogram and the fixed point. A new physical
concept of Center of Attenuation (CA) was also introduced to figure out how
this fixed point is applied to the image reconstruction with errors we further
categorized. Our technique showed a promising performance in restoring images
with translation and vertical tilt errors.
