  Tomography can be used to reveal internal properties of a 3D object using any
penetrating wave. Advanced tomographic imaging techniques, however, are
vulnerable to both systematic and random errors associated with the
experimental conditions, which are often beyond the capabilities of the
state-of-the-art reconstruction techniques such as regularizations. Because
they can lead to reduced spatial resolution and even misinterpretation of the
underlying sample structures, these errors present a fundamental obstacle to
full realization of the capabilities of next-generation physical imaging. In
this work, we develop efficient and explicit recovery schemes of the most
common experimental error: movement of the center of rotation during the
experiment. We formulate new physical models to capture the experimental setup,
and we devise new mathematical optimization formulations for reliable inversion
of complex samples. We demonstrate and validate the efficacy of our approach on
synthetic data under known perturbations of the center of rotation.
