  We present two methods that combine image reconstruction and edge detection
in computed tomography (CT) scans. Our first method is as an extension of the
prominent filtered backprojection algorithm. In our second method we employ
$\ell^{1}$-regularization for stable calculation of the gradient. As opposed to
the first method, we show that this approach is able to compensate for
undersampled CT data.
