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(a) Flowcharts for implementations of the two CNN frameworks. The CNNMAR-1 method addresses both beam-hardening and sampling in the image domain following FBP reconstruction of the sparsely sampled acquisition. The CNNMAR-2 method compensates for both sparsity and beam-hardening artifacts in sinogram domain, while also removing residual artifacts in the image domain. Detailed structure of the (b) dense and (c) residual blocks.
