| An advanced fully 3D OSEM reconstruction for positron emission tomography |
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| 作者姓名： | 贠明凯 刘双全 单保慈 魏龙 |
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| 作者单位： | Key Laboratory of Nuclear Analytical Techniques, Institute of High Energy Physics, CAS, Beijing 100049, China; Graduate University of Chinese Academy of Sciences, Beijing 100049, China |
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| 基金项目： | Supported by National High Technology Research and Development Program of China (2006AA020803);;National Basic Research Program of China (2006CB705700) |
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| 摘 要： | A fully 3D OSEM reconstruction method for positron emission tomography （PET） based on symmetries and sparse matrix technique is described. Great savings in both storage space and computation time were achieved by exploiting the symmetries of scanner and sparseness of the system matrix. More reduction of storage requirement was obtained by introducing the approximation of system matrix. Iteration-filter was performed to restrict image noise in reconstruction. Performances of simulation data and phantom data got from Micro-PET （Type： Epuls-166） demonstrated that similar image quality was achieved using the approximation of the system matrix.
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| 关 键 词： | 正电子发射断层扫描 3D 稀疏矩阵技术 引入系统 矩阵逼近 重建方法 计算时间 存储空间 |
| 收稿时间： | 2009-3-3 |
| 修稿时间： | 2009-5-5 |
An advanced fully 3D OSEM reconstruction for positron emission tomography |
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| YUN Ming-Kai, LIU Shuang-Quan, SHAN Bao-Ci WEI Long Key Laboratory of Nuclear Analytical Techniques.An advanced fully 3D OSEM reconstruction for positron emission tomography[J].High Energy Physics and Nuclear Physics,2010,34(2):231-236. |
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| Authors: | YUN Ming-Kai LIU Shuang-Quan SHAN Bao-Ci WEI Long Key Laboratory of Nuclear Analytical Techniques |
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| Institution: | YUN Ming-Kai1,2 LIU Shuang-Quan1,2 SHAN Bao-Ci1 WEI Long1 1 Key Laboratory of Nuclear Analytical Techniques,Institute of High Energy Physics,CAS,Beijing 100049,China 2 Graduate University of Chinese Academy of Sciences,China |
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| Abstract: | A fully 3D OSEM reconstruction method for positron emission tomography(PET) based on symmetries and sparse matrix technique is described.Great savings in both storage space and computation time were achieved by exploiting the symmetries of scanner and sparseness of the system matrix.More reduction of storage requirement was obtained by introducing the approximation of system matrix.Iteration-filter was performed to restrict image noise in reconstruction.Performances of simulation data and phantom data got f... |
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| Keywords: | 3D OSEM PET symmetries sparse matrix |
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