Unsupervised Deep Learning Algorithm for Artifact Reduction in X-Ray CT Reconstruction From Truncated Data

We introduce a fully unsupervised framework designed to reconstruct X-ray CT images from truncated projections without requiring prior truncation correction. By incorporating a Radon projection layer as the final layer of a deep learning model and using a projection-based loss function, our method e...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Rohit Kalla, Balaji Srinivasan, Ganapathy Krishnamurthi
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Image reconstruction iterative methods tomography truncated data unsupervised learning
Online Access:	https://ieeexplore.ieee.org/document/11195133/