换一批摘要Recently, we have developed a general formula for 3D cone-beam CT reconstruction, which can accommondate general, smooth trajectories. From the formula, algorithms can be derived for image reconstruction within a region of interest (ROI) from truncated data. In this work, we apply the derived backprojection filteration (BPF) algorithm and the minimum-data filtered backprojection (MD-FBP) algorithm to reconstructing ROI images from cone-beam projection data acquired with a saddle trajec-tory. Our numerical results in these studies demonstrate that the BPF and MD-FBP algorithms can accurately reconstruct ROI images from truncated data.
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分类号
O4
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发布时间
2005-11-17（万方平台首次上网日期，不代表论文的发表时间）
基金项目
国家卫生学会资助项目（(EB00225 and EB002765)）
E. Y. Sidky is supported by（(grant EB003913)）
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