Crum William R
King's College London, Institute of Psychiatry, Centre for Neuroimaging Sciences, London, UK.
Methods Mol Biol. 2011;711:109-26. doi: 10.1007/978-1-61737-992-5_5.
Medical imaging has been transformed by a move from qualitative to quantitative approaches where image processing is used to enhance visual information and image analysis is used to derive structural and functional measurements. The ideal quantitative analysis methods are automatic and require no user intervention, and so-called image analysis pipelines exist for some applications. However, in the majority of cases automatic methods seldom live up to their name, may fail when prior assumptions are not met, and may not exist at all for new applications. The identification and careful use of well-known image processing and analysis techniques is a vital part of imaging and invaluable when problems arise with automatic methods. Here a number of key image analysis tasks in brain imaging are presented with particular reference to the freely available FMRIB Software Library.
医学成像已从定性方法转变为定量方法,其中图像处理用于增强视觉信息,图像分析用于得出结构和功能测量结果。理想的定量分析方法是自动的,无需用户干预,并且针对某些应用存在所谓的图像分析流程。然而,在大多数情况下,自动方法很少名副其实,当先前的假设不成立时可能会失败,并且对于新应用可能根本不存在。识别并谨慎使用知名的图像处理和分析技术是成像的重要组成部分,在自动方法出现问题时非常宝贵。这里介绍了脑成像中的一些关键图像分析任务,并特别参考了免费的FMRIB软件库。