Fusion of X ray radiographic data and anatomical data in computed tomography

We consider an X ray computed tomography (CT) image reconstruction problem using two different kinds of data: classical X-rays radiographic data and some geometrical information coming from an anatomical atlas and propose new methods based on a Bayesian estimation approach for this data fusion problem. We used two kinds of anatomical information: partial knowledge of values in some regions and partial knowledge of the edges of some other regions. We showed the advantages of using such information on increasing the quality of reconstructions. We also showed some results to analyze the effects of some errors in anatomic data on the reconstructed results.