论文信息 - Accurate image reconstruction in circular cone-beam computed tomography by total variation minimization: a preliminary investigation

Accurate image reconstruction in circular cone-beam computed tomography by total variation minimization: a preliminary investigation

The total variation (TV) minimization image reconstruction algorithm for inverting the divergent-beam X-ray transform is applied to image reconstruction in circular cone-beam computed tomography (CT). Reconstructions for the disk phantom are shown and compared with that of projection onto convex sets (POCS). The preliminary results appear to show that TV-minimization yields accurate image reconstructions that are robust against data inconsistencies due to noise or mismatch in the system matrix.

Xiaochuan Pan | E.Y. Sidky

[1] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.

[2] E. Sidky,et al. Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT , 2009, 0904.4495.

[3] Xiaochuan Pan,et al. Effect of the data constraint on few-view, fan-beam CT image reconstruction by TV minimization , 2006, 2006 IEEE Nuclear Science Symposium Conference Record.

[4] Hiroyuki Kudo,et al. An accurate iterative reconstruction algorithm for sparse objects: application to 3D blood vessel reconstruction from a limited number of projections. , 2002, Physics in medicine and biology.