Introduction to Neurohacking In R

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课程主页: https://www.coursera.org/archive/neurohacking

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课程简介

Johns Hopkins University

课程大纲

In this section, we will discuss the different types of registration and how one would go through processing a multi-sequence MRI scan, as well as wrapper functions that make the process much easier. We also cover interactive exploration of brain image data and tissue-level (white/gray matter and cerebrospinal fluid (CSF)) segmentation from a T1-weighted image.

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Neurohacking describes how to use the R programming language (https://cran.r-project.org/) and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization. By the end of this course, you will be able to: Read/write images of the brain in the NIfTI (Neuroimaging Informatics Technology Initiative) format Visualize and explore these images Perform inhomogeneity correction, brain extraction, and image registration (within a subject and to a template).

R中的Neurohacking简介:Neurohacking介绍了如何使用R编程语言(https://cran.r-project.org/)及其相关程序包来执行神经影像数据的操纵,处理和分析。我们专注于公开可用的结构磁共振成像(MRI)。我们讨论了不均匀性校正,图像配准和图像可视化等概念。 在本课程结束时,您将能够: 以NIfTI(神经影像信息技术倡议)格式读取/写入大脑图像 可视化并浏览这些图像 执行不均匀性校正,脑部提取和图像配准(在对象内和模板内)。

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