24 February 2012 Multi-slice and multi-frame image reconstruction by predictive compressed sensing
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In this paper, we describe a prediction based compressed-sensing approach for multi-slice (same time, different locations) or multi-frame (same location, different time) CT image reconstruction. In this approach, the second slice/frame of a pair of consecutive slices/frames is reconstructed through reconstructing the prediction error image between the first and second slice/frame, using compressed-sensing. This approach exploits the inter-slice/inter-frame correlation and the higher degree of sparsity of the prediction error image to achieve more efficient image reconstruction, i.e., fewer projections for the same image quality or higher image quality for the same number of projections. The efficacy of our approach is demonstrated through simulation results.
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Jun Zhang, Jun Zhang, Jun Wang, Jun Wang, Guangwu Xu, Guangwu Xu, Jean-Baptiste Thibault, Jean-Baptiste Thibault, } "Multi-slice and multi-frame image reconstruction by predictive compressed sensing", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83144M (24 February 2012); doi: 10.1117/12.911150; https://doi.org/10.1117/12.911150

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