Cardiac CT Image Reconstruction Based on Compressed Sensing

In this paper, the authors review the compressed sensing concept and analyze the basics for CT image reconstruction. The application of compressed sensing is investigated in cardiac CT image reconstruction and a comprehensive sparse reconstruction approach is presented. This approach incorporates the total variation norm, l(1) norm and subtraction of different images norm minimization to reconstruct image from Sheep-Logan and Cardiac phantom. The reconstruction results show that our algorithm can achieve high quality cardiac image. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology