What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of Neuroscience and Neuroimaging Specialization
Instructors: Dr. Elizabeth Sweeney
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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).
3 videos1 reading1 assignment
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.
7 videos6 assignments
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.
9 videos9 assignments
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.
11 videos1 reading10 assignments
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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Reviewed on Sep 3, 2016
An excellent introduction to neuroimaging analysis! Tank you.
Reviewed on Jan 28, 2025
It was wonderful learning from these amazing Lecturers
Reviewed on Dec 5, 2023
excellent course building you up with basics using R and fsl, antr
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