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This document presents a novel multimaterial decomposition (MMD) method for dual-energy computed tomography (CT) that overcomes limitations of traditional direct inversion techniques, allowing for accurate separation of up to 12 materials. The proposed method utilizes an optimization framework that incorporates data fidelity, image smoothness, and nonconvex sparsity regularization, significantly improving decomposition accuracy and reducing image noise. Experimental results demonstrate a substantial enhance

Author

leokhodajoh

Language

EN