An Automatic Method for Generating an Unbiased Intensity Normalizing Factor in Positron Emission Tomography Image Analysis After Stroke
文献类型：期刊论文
| 作者 | Huang, Q ; Liang SX(梁胜祥); Nie BB(聂彬彬); Zhang, TH; Li, PL; Liu, H; Shan, BC; Duan, SF; Jiang, XF; Liang, SX
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| 刊名 | NEUROSCIENCE BULLETIN
 |
| 出版日期 | 2018 |
| 卷号 | 34期号:5页码:833-841 |
| ISSN号 | 1673-7067 |
| 关键词 | Unbiased scale factor Intensity normalization Stroke FDG-PET imaging Voxel-wise analysis |
| DOI | 10.1007/s12264-018-0240-8 |
| 文献子类 | Article |
| 英文摘要 | Positron emission tomography (PET) imaging of functional metabolism has been widely used to investigate functional recovery and to evaluate therapeutic efficacy after stroke. The voxel intensity of a PET image is the most important indicator of cellular activity, but is affected by other factors such as the basal metabolic ratio of each subject. In order to locate dysfunctional regions accurately, intensity normalization by a scale factor is a prerequisite in the data analysis, for which the global mean value is most widely used. However, this is unsuitable for stroke studies. Alternatively, a specified scale factor calculated from a reference region is also used, comprising neither hyper- nor hypo-metabolic voxels. But there is no such recognized reference region for stroke studies. Therefore, we proposed a totally data-driven automatic method for unbiased scale factor generation. This factor was generated iteratively until the residual deviation of two adjacent scale factors was reduced by <5%. Moreover, both simulated and real stroke data were used for evaluation, and these suggested that our proposed unbiased scale factor has better sensitivity and accuracy for stroke studies. |
| 电子版国际标准刊号 | 1995-8218 |
| WOS关键词 | CEREBRAL-ARTERY OCCLUSION ; SMALL-ANIMAL PET ; RAT-BRAIN ; FUNCTIONAL CONNECTIVITY ; MOTOR RECOVERY ; REGISTRATION ; METABOLISM ; ISCHEMIA ; FUTURE ; SIGNAL |
| WOS研究方向 | Neurosciences & Neurology |
| 语种 | 英语 |
| CSCD记录号 | CSCD:6336309 |
| WOS记录号 | WOS:000444005200012 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/286291]  |
| 专题 | 高能物理研究所_核技术应用研究中心 |
| 通讯作者 | Dan BC(单保慈) |
| 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 | Huang, Q,Liang SX,Nie BB,et al. An Automatic Method for Generating an Unbiased Intensity Normalizing Factor in Positron Emission Tomography Image Analysis After Stroke[J]. NEUROSCIENCE BULLETIN,2018,34(5):833-841. |
| APA | Huang, Q.,梁胜祥.,聂彬彬.,Zhang, TH.,Li, PL.,...&段绍峰.(2018).An Automatic Method for Generating an Unbiased Intensity Normalizing Factor in Positron Emission Tomography Image Analysis After Stroke.NEUROSCIENCE BULLETIN,34(5),833-841. |
| MLA | Huang, Q,et al."An Automatic Method for Generating an Unbiased Intensity Normalizing Factor in Positron Emission Tomography Image Analysis After Stroke".NEUROSCIENCE BULLETIN 34.5(2018):833-841. |
入库方式： OAI收割
来源：高能物理研究所
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