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Full Day: MR Diffusion Imaging: Getting Your Measures Right

Diffusion Imaging is a very fast evolving neuroimaging field and today there are several advanced methods or complex analyses that can be performed using diffusion imaging data. But how can we get the best data for our study? How can we check if data is actually good or that we have chosen the right pre-processing and processing methods for our study? Can I apply the same acquisition protocols also for ex-vivo fixed tissues?

Sometimes, one of the problem faced by researchers coming from different fields or also students starting a PhD, is to start to use advanced methods and complex “high-level” analyses while still relying on poor acquisitions, simplified pre-processing or not adequate diffusion models. The aim of this educational course is to offer a practical overview about optimal strategies available today for acquisition, processing and analysis of diffusion imaging data.

By following an ideal diffusion imaging pipeline, lectures in the morning will review the current state of the art of diffusion imaging methods and possible pitfalls and limitations that need to be taken in account before getting to the final results. In the afternoon, lectures will focus on how we can apply these methods to study individual subjects and group differences in clinical research applications, in pre-clinical settings or in human post mortem datasets. Special attention will be also given to the validation and the biological interpretation of current diffusion imaging indices.

Finally, to stimulate a discussion with the participants of this course a final lecture will offer the opportunity to review the main messages of this 1-day course by looking at the past, the present and the future of diffusion imaging and tractography.