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

@article{Li2022AnII,
  title={An Improved Iterative Neural Network for High-Quality Image-Domain Material Decomposition in Dual-Energy CT},
  author={Zhipeng Li and Yong Long and Il Yong Chun},
  journal={Medical physics},
  year={2022}
}
PURPOSE Dual-energy computed tomography (DECT) has been widely 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. METHODS We propose a new… 

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