Sparse-Coding-Based Computed Tomography Image Reconstruction

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="145198.fig.003a" src="https://static.hindawi.com/articles/tswj/volume-2013/145198/figures/145198.fig.003a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Quantitative measurement using SAD</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="145198.fig.003b" src="https://static.hindawi.com/articles/tswj/volume-2013/145198/figures/145198.fig.003b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Quantitative measurement using SSD</td></tr></table></td></tr></table>

<table>Quantitative comparison of previous approaches and our proposed approach using SAD and SSA by changing the number of angular projections from 900 to 2700.</table>

The Scientific World Journal

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Figure 3

Figure 3: Sparse-Coding-Based Computed Tomography Image Reconstruction 