A CT Reconstruction Algorithm Based on L<sub>1/2</sub> Regularization

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td align="left">Methods</td><td align="center">ART</td><td align="center">ART-TV</td><td align="center">
									SpBr-L<sub>1/2</sub></td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="left">Noise-free</td><td align="center">0.0305</td><td align="center">0.0104</td><td align="center">0.0044</td></tr><tr><td align="left">Noise</td><td align="center">0.0388</td><td align="center">0.0274</td><td align="center">0.0102</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The RMSE of reconstructed images using three different algorithms from noise-free and noise data.

Computational and Mathematical Methods in Medicine

tab1

Table 1

Table 1: A CT Reconstruction Algorithm Based on L<sub>1/2</sub> Regularization 

Computational and Mathematical Methods in Medicine

A CT Reconstruction Algorithm Based on L1/2 Regularization

Table 1

A CT Reconstruction Algorithm Based on L_1/2 Regularization