K. J. Batenburg and J. Sijbers, DART: a practical reconstruction algorithm for discrete tomography, IEEE Transactions on Image Processing, vol.20, issue.9, pp.2542-2553, 2011.

A. Beck and M. Teboulle, Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems, IEEE TIP, vol.18, issue.11, pp.2419-2434, 2009.

D. Bertsekas, Incremental proximal methods for large scale convex optimization, Mathematical Programming, Ser. B, vol.129, pp.163-195, 2011.

T. Buzug, Computed Tomography: from Photon Statistics to Modern Cone Beam CT, 2008.

J. Frickel and E. T. Quinto, Characterization and reduction of artifacts in limited angle tomography, Inverse Problems, vol.29, issue.12, 2013.

. Andersen-hansen, Generalized row action methods for tomographic imagin, Numer. Algor, vol.67, pp.121-144, 2014.

F. Natterer, The Mathematics of Computerized Tomography, vol.32, 1986.

R. Ramlau and W. Ring, A mumford-shah approach for contour tomography, Journal of Computational Physics, vol.221, issue.2, pp.539-557, 2007.

M. Romanov, A. B. Dahl, Y. Dong, and P. C. Hansen, Simultaneous tomographic reconstruction and segmentation with class priors, Inverse Problems in Science and Engineering, vol.24, issue.8, 2016.

D. Van-de-sompel and M. Brady, Simultaneous reconstruciton and segmentation algorithm for positron emission tomography and transmission tomography, Proceedings of the 2008 International Symposium on Biomedical Imaging, 2008.

M. Storah, A. Weinmann, J. Frickel, and M. Unser, Joint image reconstruction and segmentation using the potts model, Inverse Problems, vol.2, issue.32, 2015.

S. Yoon, A. R. Pineda, and R. Fahrig, Simultaneous segmentation and reconstruction: A level set method approach for limited view computed tomography, Medical Physics, vol.37, issue.5, pp.2329-2340, 2010.