Video: Quantitative Neuroimaging with R

[This article was first published on R User Groups, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The following video was recorded at Melbourne R Users. A summary of the talk is as follows:

Recent advances in medical imaging allow us to routinely acquire highly detailed images of the living human brain. These images can be used to inform us about how structural and functional changes in the brain are associated with disease and the environment. The wealth of information captured with these imaging methods has lead to additional challenges in processing and interpreting the data. In this talk I will describe how an MRI scan is acquired; how image analysis techniques help us understand neurological disorders, with a focus on epilepsy; and some challenges that face medical image analysis. Along the way I will talk about how R has helped my research.

Heath Pardoe is a postdoc at the Florey Neuroscience Institutes. He started out doing experimental physics, but would now almost describe himself as a neuroscientist. He uses image analysis methods to explore facets of the relationship between brain changes and neurological disorders. The primary neurological disorder he investigates is epilepsy. His current research interests include how the structure of the brain may be different in people with epilepsy, the impact of epileptic seizures on the brain, and how the brain changes during treatment with antiepileptic medication.

Also, see here for the complete play list of Melbourne R User Videos.

To leave a comment for the author, please follow the link and comment on their blog: R User Groups.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)