R语言神经黑客入门

Introduction to Neurohacking In R

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约翰霍普金斯大学
Coursera
  • 完成时间大约为 12 个小时
  • 中级
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

课程概况

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).

课程大纲

Introduction

Neuroimaging: Formats and Visualization

In this section, we will discuss different formats that brain images come in, as well as some of the commonly done magnetic resonance imaging (MRI) scans.

Image Processing

In this section, we will discuss the steps done to process brain MRI data. We will discuss inhomogeneity correction, brain extraction or skull stripping, and various image registration techniques.

Extended Image Processing

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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