Joint Annual Meeting ISMRM-ESMRMB 2014 10-16 May 2014 Milan, Italy

Diffusion Goes Mad
SKILL LEVEL: Basic to Intermediate
ORGANIZERS: Andrew L. Alexander, Ph.D. & Claudia A. Wheeler-Kingshott, Ph.D.
Saturday, 10 May 2014 (08:30 - 11:30)
The “Diffusion goes mad” course intends to experiment a new format of teaching and meeting the teachers. The first three lectures will explore the basics of diffusion imaging, from the diffusion tensor to more complex models of tissue microstructure. Three subsequent lectures will explore analysis of diffusion data, from simple single subject analysis to group analysis. At the end of all lectures there will be a long slot of time where teachers will stand by flipcharts distributed around the room. With the help of one or two scientists, speakers will be available to take questions in smaller groups. The aim is also to have a couple of flipcharts per topic so that one can take technical/theoretical questions while the other can be more practical/clinical.
Physicists/technologists/clinicians who wish to understand the basics and more advanced concepts of diffusion imaging from both the acquisition and image processing point of view.

As a result of attending this course, participants should be able to: 

  • Utilize the concepts of diffusion weighted imaging (DWI) and diffusion tensor imaging (DTI);
  • Assess the limitations of DTI and the need for non-Gaussian diffusion models;
  • Utilize the concepts and recognize the limitations of q-space imaging;
  • Differentiate diffusion approaches for characterizing tissue microstructure;
  • Utilize the concepts of distortion correction and image registration and relative issues;
  • Discuss group studies approaches, both for cross-sectional and longitudinal cohorts; and
  • Select the appropriate analysis method for their data.


Moderators: Andrew L. Alexander, Ph.D. & Claudia A. Wheeler-Kingshott, Ph.D.

08:30 From Diffusion Weighting to the Diffusion Tensor Indices Gareth J. Barker, Ph.D.
08:50 Higher Order Diffusion Models & Methods: Going Beyond the Diffusion Tensor Noam Shemesh, Ph.D.
09:10 Q-Space & Microstructure Daniel C. Alexander, Ph.D.
09:30     Break - Meet the Teachers  
09:50 Single Subject Diffusion Analysis: ROI, Histogram, Tractography Mara Cercignani, Ph.D.
10:10 Group Studies of Diffusion Data: Cross Sectional & Longitudinal Challenges Stephen M. Smith, D.Phil.
10:30 Connectomics Patric Hagmann, M.D., Ph.D.
10:50     Flip Charts - Meet the Experts  
11:30     Closing remarks/ Adjournment  
      11:30-11:45 Meet the Teachers