| 正电子发射层析成像的鲁棒最小二乘重建 |
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| 引用本文： | 江晓娜,刘华锋.正电子发射层析成像的鲁棒最小二乘重建[J].计算机辅助设计与图形学学报,2006,18(4):598-601. |
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| 作者姓名： | 江晓娜 刘华锋 |
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| 作者单位： | 1. 浙江大学现代光学仪器国家重点实验室,杭州,310027
2. 浙江大学现代光学仪器国家重点实验室,杭州,310027;浙江大学CAD&CG国家重点实验室,杭州,310027 |
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| 基金项目： | 科技部科研项目;国家创新研究群体科学基金;国家重点实验室基金 |
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| 摘 要： | 提出的鲁棒最小二乘算法综合考虑了正电子发射层析成像中的各种误差，适用于实际正电子发射层析成像系统．实验结果表明：该算法比传统的最小二乘重建算法具有更加鲁棒的重建特性．
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| 关 键 词： | 正电子发射层析成像 鲁棒最小二乘算法 图像重建 |
| 收稿时间： | 2005-02-25 |
| 修稿时间： | 2005-05-23 |
A Robust Least Squares Framework for PET Image Reconstruction |
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| Jiang Xiaona,Liu Huafeng.A Robust Least Squares Framework for PET Image Reconstruction[J].Journal of Computer-Aided Design & Computer Graphics,2006,18(4):598-601. |
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| Authors: | Jiang Xiaona Liu Huafeng |
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| Abstract: | In this paper, we propose a robust least squares solution for real position emission tomography (PET) system to minimizing the negative effect from the system matrix uncertainty on the final image. Compared with other algorithms at present, the robust least squares method proposed takes the noise fully into consideration. The performance of the algorithm is evaluated using the simulated phantom data, and the test result shows that a significant improvement in image quality over the conventional methods of least squares reconstruction is achieved. |
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| Keywords: | position emission tomography robust least squares image reconstruction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
