Sinogram Blurring Matrix Estimation From Point Sources Measurements With Rank-One Approximation for Fully 3-D PET.
文献类型：期刊论文
| 作者 | Gong, Kuang ; Zhou, Jian ; Tohme, Michel ; Judenhofer, Martin ; Yang, Yongfeng ; Qi, Jinyi |
| 刊名 | IEEE TRANSACTIONS ON MEDICAL IMAGING
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | An accurate system matrix is essential in positron emission tomography (PET) for reconstructing high quality images. To reduce storage size and image reconstruction time, we factor the system matrix into a product of a geometry projection matrix and a sinogram blurring matrix. The geometric projection matrixis computed analytically and the sinogram blurring matrix is estimated from point source measurements. Previously, we have estimated a 2-D blurring matrixfor a preclinical PET scanner. The 2-D blurring matrix only considers blurring effects within a transaxial sinogram and does not compensate for inter-sinogramblurring effects. For PET scanners with a long axial field of view, inter-sinogram blurring can be a major problem influencing the image quality in the axial direction. Hence, the estimation of a 4-D blurring matrix is desirable to further improve the image quality. The 4-D blurring matrix estimation is an ill-conditioned problem due to the large number of unknowns. Here, we propose a rank-one approximation for each blurring kernel image formed by a row vector of the sinogram blurring matrix to improve the stability of the 4-D blurring matrix estimation. The proposed method is applied to the simulated data as well as the real data obtained from an Inveon microPET scanner. The results show that the newly estimated 4-D blurring matrix can improve the image quality over those obtained with 2-D blurring matrix and requires less point source scans to achieve similar image quality compared with an unconstrained 4-D blurring matrixestimation. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12092]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | IEEE TRANSACTIONS ON MEDICAL IMAGING |
| 推荐引用方式 GB/T 7714 | Gong, Kuang , Zhou, Jian , Tohme, Michel ,et al. Sinogram Blurring Matrix Estimation From Point Sources Measurements With Rank-One Approximation for Fully 3-D PET.[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2017. |
| APA | Gong, Kuang , Zhou, Jian , Tohme, Michel , Judenhofer, Martin , Yang, Yongfeng ,& Qi, Jinyi.(2017).Sinogram Blurring Matrix Estimation From Point Sources Measurements With Rank-One Approximation for Fully 3-D PET..IEEE TRANSACTIONS ON MEDICAL IMAGING. |
| MLA | Gong, Kuang ,et al."Sinogram Blurring Matrix Estimation From Point Sources Measurements With Rank-One Approximation for Fully 3-D PET.".IEEE TRANSACTIONS ON MEDICAL IMAGING (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。