|
SUNRISE
EDUCATIONAL COURSE |
|
Image Reconstruction |
|
ORGANIZERS: Fa-Hsuan Lin, Ph.D.
& Craig H. Meyer, Ph.D. |
|
|
|
SKILL LEVEL: Basic-Intermediate |
|
|
|
|
OVERVIEW |
|
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. |
|
|
|
EDUCATIONAL OBJECTIVES |
|
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. |
|
|
|
|
AUDIENCE
DESCRIPTION |
|
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. |
|
|
PROGRAM |
|
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 |
|
|
|
|
|
|