Image reconstruction for cone-beam computed tomography using total <i>p</i>-variation plus Kullback

Image reconstruction for cone-beam computed tomography using total p-variation plus Kullback–Leibler data divergence

Cai Ai-Long, Li Lei, Wang Lin-Yuan, Yan Bin^†, Zheng Zhi-Zhong, Zhang Han-Ming, Hu Guo-En

(color online) Reconstruction comparisons for (a) SART-TV, (b) ADTVM, (c) KL-TV, and (d) KL-TpV with different projection views with Poisson noise. From the left column to the right column, images are reconstructed from 9, 30 and 60 views at the iteration number of 2000. The displayed gray window is [0.018 0.021].