Image Reconstruction
ORGANIZERS: Fa-Hsuan Lin, Ph.D. & Craig H. Meyer, Ph.D.
SKILL LEVEL: Basic-Intermediate

This four-hour course covers fundamentals and technical details of MRI reconstruction. We will provide different topics on MRI reconstruction beyond Cartesian trajectory, single RF coil and spatial encoding by linear orthogonal gradients. Attendees will learn about fast iterative reconstruction algorithms as well as implementations, Cartesian and non-Cartesian parallel imaging, reconstructing sparse MRI data, water-fat separation and MRI reconstruction using non-linear gradients measurements. Mathematical formulation, numerical implementation using in vivo data, and practical as well as theoretical limits of MRI reconstructions will also be covered.
Upon completion of this course participants should be able to:
Describe the main steps involved in efficient non-Cartesian image reconstruction;
List the advantage and disadvantage of iterative image reconstruction using existing computational resources;
Formulate a generalized signal model incorporating gradient encoding, coil sensitivity and Bo inhomogeneity;
Compare compressed sensing, HYPR and k-t BLAST with respect to their use of prior knowledge;
Describe the principles of separating water and fat signals; and
Implement image reconstructions using nonlinear imaging gradients.
This course is designed for scientists and clinicians who are starting to work in the field of MRI reconstructions and would like to have an overview of the scientific and technical underpinnings of these techniques. The course assumes basic knowledge of MRI signal formation, but not necessarily familiarity with MRI reconstructions of different trajectories and hardware limits.


Click on to view the abstract pdf. Click on to view the recorded presentation.

  Tuesday, 8 May 2012
Moderators: Fa-Hsuan Lin, Ph.D. & Craig H. Meyer, Ph.D.
  Fast Non-Cartesian & Iterative Image Reconstruction  
07:00 Gridding & the NUFFT for Non-Cartesian Image Reconstruction John M. Pauly, Ph.D.
07:30 Fast Implementation of Iterative Image Reconstruction
permission withheld
Tobias R. Schaeffter, Ph.D.
08:00 Adjournment  
  Wednesday, 9 May 2012
Moderators: Fa-Hsuan Lin, Ph.D. & Craig H. Meyer, Ph.D.
  Parallel Imaging  
07:00 Parallel Imaging Reconstruction I: Cartesian Jonathan R. Polimeni, Ph.D.
07:30 Parallel Imaging Reconstruction II: Non-Cartesian Nicole E. Seiberlich, Ph.D.
08:00 Adjournment  
  Thursday, 10 May 2012
Moderators: Fa-Hsuan Lin, Ph.D. & Craig H. Meyer, Ph.D.
  Sparse Data  
07:00 Compressed Sensing & HYPR Julia V. Velikina, Ph.D.
07:30 Spatiotemporal Redundancy for Dynamic Imaging Pablo Irarrazaval, Ph.D.
08:00 Adjournment  
  Friday, 11 May 2012
Moderators: Fa-Hsuan Lin, Ph.D. & Craig H. Meyer, Ph.D.
  Water/Fat Imaging and Nonlinear Gradients  
07:00 Off-Resonance Correction & Water/Fat Separation Holger Eggers, Ph.D.
07:30 Image Reconstruction using Nonlinear Gradients Daniel Gallichan, Ph.D.
08:00 Adjournment