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论文类型：会议论文

发表时间：2019-01-01

收录刊物：CPCI-S

页面范围：1664-1668

关键字：Sparse-view CT reconstruction; Mojette transform; deep learning

摘要：Sparse-view computed tomography (CT) has attracted much attention to reduce the potential radiation risk. However, image reconstruction from insufficient data suffers from distortion. As a discrete form of Radon transform, Mojette transform is exactly invertible even with few samples based on discrete projection and reconstruction lattice. The goal of this paper is to apply Mojette transform to reconstruct images from few views in practice. Due to the fact that its acquisition is incompatible with physical X-ray properties, this paper resorts to deep learning technique to map Radon projection into Mojette domain Experimental results confirm the effectiveness of the proposed reconstruction scheme based on Mojette transform.