Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density. (arXiv:2209.13264v1 [eess.IV])

This paper addresses the problem of image reconstruction for
region-of-interest (ROI) computed tomography (CT). While model-based iterative
methods can be used for such a problem, their practicability is often limited
due to tedious parameterization and slow convergence. In addition, inadequate
solutions can be obtained when the retained priors do not perfectly fit the
solution space. Deep learning methods offer an alternative approach that is
fast, leverages information from large data sets, and thus can reach high
reconstruction quality. However, these …

algorithm angular application arxiv imaging roi