Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis

19 Nov 2016 Yo Seob Han Jaejun Yoo Jong Chul Ye

Recently, compressed sensing (CS) computed tomography (CT) using sparse projection views has been extensively investigated to reduce the potential risk of radiation to patient. However, due to the insufficient number of projection views, an analytic reconstruction approach results in severe streaking artifacts and CS-based iterative approach is computationally very expensive... (read more)

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