统计参数图在PET和SPECT脑功能显像中的应用

郭万华

郭万华

文章导航 > 国际放射医学核医学杂志 > 2002, 26 > 1: (7-11)

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统计参数图在PET和SPECT脑功能显像中的应用

郭万华

200025 上海, 上海第二医科大学

作者简介: 郭万华(1968-),男,安徽巢湖市人,影像医学与核医学博士研究生。;

中图分类号: R817.4

Application of statistical parametric mapping in PET and SPECT brain functional imaging

GUO Wan-hua

Department of Nuclear Medicine, Ruijing Hospital, SSMU, Shanghai 200025, China
CLC number: R817.4

摘要: 感兴趣区(ROI)法是脑功能显像资料常用的分析方法,但由于其主观性强、重复性差等缺点使脑功能研究的精确性及效率显著降低,统计参数图(SPM)法是为解决这一问题而开发的以像素为基础的自动分析软件,该法将多种数理模型应用到针对全脑的像素统计推断中。本文介绍了该法的简单原理、主要应用模块组成和实际应用。该方法对认知领域、神经生物学和神经药理学的研究将起到一定的推动作用,必将随着脑科学进展的需要得到更广泛的应用。
- 脑显像 /
- 正电子发射断层显像 /
- 单光子发射断层显像 /
- 统计参数图
Abstract: Regional of interest (ROI) is the method regularly used to analyze brain functional imaging.But, due to its obvious shortcomings such as subjectivity and poor reproducibility, precise analyzing the brain function was seriously limited.Therefore, statistical parametric mapping (SPM) as an automatic analyze software was developed based on voxel or pixel to resolve this problem.Using numerous mathmatical models, it can be used to statistically assess the whole brain pixel.Present review introduces its main principle, modular composition and practical application.It can be concluded, with development of neuroscience, the SPM software will be used more widely in relative field, like neurobiology, cognition and neuropharmacology.
- positron emission tomography /
- single photon emission computerized tomography /
- brain imaging /
- statistical parametric mapping
本作品遵循Signature-Non-Commercial Use 4.0 International (CC BY-NC 4.0)协议

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统计参数图在PET和SPECT脑功能显像中的应用

郭万华

作者简介:郭万华(1968-),男,安徽巢湖市人,影像医学与核医学博士研究生。

200025 上海, 上海第二医科大学

收稿日期: 2001-04-17

关键词:

摘要: 感兴趣区(ROI)法是脑功能显像资料常用的分析方法,但由于其主观性强、重复性差等缺点使脑功能研究的精确性及效率显著降低,统计参数图(SPM)法是为解决这一问题而开发的以像素为基础的自动分析软件,该法将多种数理模型应用到针对全脑的像素统计推断中。本文介绍了该法的简单原理、主要应用模块组成和实际应用。该方法对认知领域、神经生物学和神经药理学的研究将起到一定的推动作用,必将随着脑科学进展的需要得到更广泛的应用。