An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT

Dual‐energy computed tomography (DECT) has widely been used in many applications that need material decomposition. Image‐domain methods directly decompose material images from high‐ and low‐energy attenuation images, and thus, are susceptible to noise and artifacts on attenuation images. The purpose of this study is to develop an improved iterative neural network (INN) for high‐quality image‐domain material decomposition in DECT, and to study its properties.