A full‐spectral Bayesian reconstruction approach based on the material decomposition model applied in dual‐energy computed tomography

Abstract

The proposed approach is a statistical reconstruction approach based on a nonlinear forward model counting the full beam polychromaticity and applied directly to the projections without taking negative-log. Compared to the approaches based on linear forward models and the BHA correction approaches, it has advantages in noise robustness and reconstruction accuracy.