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Phys Med Biol
December 2024
Beijing University of Posts and Telecommunications School of Information and Communication Engineering, No.10 XituCheng Road, Beijing, Beijing, 100876, CHINA.
Objective: There have been many advancements in deep unrolling methods for sparse-view computed tomography (SVCT) reconstruction. These methods combine model-based and deep learning-based reconstruction techniques, improving the interpretability and achieving significant results. However, they are often computationally expensive, particularly for clinical raw projection data with large sizes.
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