Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data
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DOI: 10.1109/tci.2022.3225680
Abstract: Reconstruction of CT images from a limited set of projections through an object is important in several applications ranging from medical imaging to industrial settings. As the number of available projections decreases, traditional reconstruction techniques… read more here.
Keywords: training data; view cone; cone beam; sparse view ... See more keywords