RISING: A new framework for model-based few-view CT image reconstruction with deep learning

Davide Evangelista, Elena Morotti, Elena Loli Piccolomini

Abstract: Highlights•A hybrid reconstruction approach for few-view tomographic imaging.•Model-based iterative solver accelerated by neural network and low computational effort.•Ground truth-free training, but accurate and stable results with respect to noise.