This paper provides an overview of the compressed sensing approach and its contribution in the development of reconstruction algorithms in x-ray computed tomography. We briefly review the recent advances in the topic and refer to the related applications. Finally, we discuss the challenges related to the development of the compressed sensing based reconstruction algorithms and possibilities to be used in clinical scanners.
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