| Sunrise Course:
|
| Image Reconstruction |
| Organizer: Elfar
Adalsteinsson, Ph.D. |
| |
| Skill Level:
Intermediate - Advanced |
| Tuesday - Friday, 4-7 May
2010 |
| 07:00 - 08:00 |
|
|
OVERVIEW |
|
This 4-hour course will provide an
in-depth review of the fundamental concepts common to many image
reconstruction problems in MRI. MRI scientists from industry and
academia will speak on non-Cartesian image reconstruction,
off-resonance correction, parallel imaging, emerging sparse data
methods, and chemical shift and motion. These sessions are intended
to introduce new researchers to the advanced algorithms employed in
state-of-the-art systems. The course consists of four 1-hour
sessions, and each of the eight lectures will be followed by an
opportunity for questions. |
|
|
|
EDUCATIONAL OBJECTIVES |
Upon completion of this course
participants should be able to:
- Describe the main steps involved
in efficient non-Cartesian image reconstruction;
- Formulate a generalized signal
model incorporating gradient encoding, coil sensitivity and Bo
inhomogeneity;
- List the pro’s and con’s of
Cartesian and non-Cartesian parallel MRI;
- 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
- Name three different approaches
for motion correction and appraise their potential to become
routine methods.
|
|
|
|
|
|