End-to-End Deep Learning Improves CT Material Decomposition

The workflow of the E2E-DEcomp algorithm at inference is shown in Fig. 1, and the structure of E2EDEcomp algorithm for inference is reported in Table 1. In Fig. 2 it is shown the qualitative comparison on a test material image of the adipose tissue using filtered back projection (FBP) and E2 E-DE Comp. Infig. 3 is is reported the PSNR error for a set of 10 testing images for the 2 material decomposition.