Fast 3D kernel computation method for positron range correction in PET
文献类型：期刊论文
| 作者 | Li, Chong; Scheins, Juergen; Tellmann, Lutz; Issa, Ahlam; Wei, Long; Shah, N. Jon; Lerche, Christoph |
| 刊名 | PHYSICS IN MEDICINE AND BIOLOGY
 |
| 出版日期 | 2023 |
| 卷号 | 68期号:2页码:25004 |
| 关键词 | PET spatial resolution positron range range correction |
| ISSN号 | 0031-9155 |
| DOI | 10.1088/1361-6560/acaa84 |
| 文献子类 | Article |
| 英文摘要 | Objective. The positron range is a fundamental, detector-independent physical limitation to spatial resolution in positron emission tomography (PET) as it causes a significant blurring of underlying activity distribution in the reconstructed images. A major challenge for positron range correction methods is to provide accurate range kernels that inherently incorporate the generally inhomogeneous stopping power, especially at tissue boundaries. In this work, we propose a novel approach to generate accurate three-dimensional (3D) blurring kernels both in homogenous and heterogeneous media to improve PET spatial resolution. Approach. In the proposed approach, positron energy deposition was approximately tracked along straight paths, depending on the positron stopping power of the underlying material. The positron stopping power was derived from the attenuation coefficient of 511 keV gamma photons according to the available PET attenuation maps. Thus, the history of energy deposition is taken into account within the range of kernels. Special emphasis was placed on facilitating the very fast computation of the positron annihilation probability in each voxel. Results. Positron path distributions of F-18 in low-density polyurethane were in high agreement with Geant4 simulation at an annihilation probability larger than 10(-2) similar to 10(-3) of the maximum annihilation probability. The Geant4 simulation was further validated with measured F-18 depth profiles in these polyurethane phantoms. The tissue boundary of water with cortical bone and lung was correctly modeled. Residual artifacts from the numerical computations were in the range of 1%. The calculated annihilation probability in voxels shows an overall difference of less than 20% compared to the Geant4 simulation. Significance. The proposed method is expected to significantly improve spatial resolution for non-standard isotopes by providing sufficiently accurate range kernels, even in the case of significant tissue inhomogeneities. |
| 电子版国际标准刊号 | 1361-6560 |
| WOS关键词 | IMAGE-RECONSTRUCTION ; RESOLUTION ; MODEL |
| WOS研究方向 | Engineering ; Radiology, Nuclear Medicine & Medical Imaging |
| 语种 | 英语 |
| WOS记录号 | WOS:000911421500001 |
| 源URL | [https://ir.ihep.ac.cn/handle/311005/304409]  |
| 专题 | 高能物理研究所_多学科研究中心 |
| 作者单位 | 中国科学院高能物理研究所 |
| 推荐引用方式 GB/T 7714 | Li, Chong,Scheins, Juergen,Tellmann, Lutz,et al. Fast 3D kernel computation method for positron range correction in PET[J]. PHYSICS IN MEDICINE AND BIOLOGY,2023,68(2):25004. |
| APA | Li, Chong.,Scheins, Juergen.,Tellmann, Lutz.,Issa, Ahlam.,Wei, Long.,...&Lerche, Christoph.(2023).Fast 3D kernel computation method for positron range correction in PET.PHYSICS IN MEDICINE AND BIOLOGY,68(2),25004. |
| MLA | Li, Chong,et al."Fast 3D kernel computation method for positron range correction in PET".PHYSICS IN MEDICINE AND BIOLOGY 68.2(2023):25004. |
入库方式： OAI收割
来源：高能物理研究所
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