ISMRM 21^{st} Annual Meeting & Exhibition ○ 2026 April 2013 ○ Salt Lake City, Utah, USA 



Please see special note on Thursday's course below.  


Tuesday, 23 April 2013 Image Reconstruction  Parallel Imaging Part 1 

OVERVIEW  
This course covers key practical considerations to implement highperformance, productionlevel reconstruction algorithms beyond theoretical principles. Part I describes background materials to understand parallel imaging algorithms in general (image space, kspace, nonCartesian), calibration data, coil sensitivity estimation, noise calibration and performance measurements (gfactor).  
TARGET AUDIENCE  
Anybody with an interest in parallel imaging beyond theoretical principles and would like the tools to implement practical, productionlevel parallel imaging reconstruction algorithms.  
EDUCATIONAL OBJECTIVES Upon completion of this course, participants should be able to: 



Image Reconstruction  Parallel Imaging 

Moderators: Alexey Samsonov, Ph.D. & Jeffrey Tsao, Ph.D., M.B.A. 





Wednesday, 24 April 2013 Parallel Transmit, SAR 

OVERVIEW  
This course covers the principles of pulse design for parallel transmission, B_{1} shimming and SAR optimization. The B_{1} and Efield behaviors of different types of transmit arrays are discussed, following by techniques for optimizing B_{1} shimming, and pulse design for parallel transmission in conjunction with local/global SAR.  
TARGET AUDIENCE  
MR scientists, engineers, and technicians with an interest in understanding physical principles of parallel transmission, B_{1 } shimming and SAR behavior within the context of high field MRI.  
EDUCATIONAL OBJECTIVES Upon completion of this course, participants should be able to: 



Parallel Transmit, SAR 

Moderators: Alexey Samsonov, Ph.D. & Jeffrey Tsao, Ph.D., M.B.A. 



Thursday, 25 April 2013 Image Reconstruction  Parallel Imaging Part 2 

OVERVIEW  
The course is a handon session that builds on Part 1 by providing an interactive exploration of the previously introduced principles. Using software to be supplied, the audience is encouraged to participate as we develop a parallel image reconstruction pipeline from the most basic reconstruction to a more realistic, practical reconstruction algorithm that deals with noise calibration, coil sensitivity calibration, and performance measurements. The connection between image space and kspace algorithms, effects of inline calibration and external calibration, noise correlation, and regularization will be explored.  
TARGET AUDIENCE  
MR enthusiasts interested in the
underthehood implementation of advanced methodology in image
reconstruction and RF design.
The audience is expected to bring a laptop with Matlab 6+ installed to follow the exercises. Please download exercises at http://gadgetron.sf.net/sunrise 

EDUCATIONAL OBJECTIVES Upon completion of this course, participants should be able to: 



Advanced Imaging Interactive Session 

Moderators: Alexey Samsonov, Ph.D. & Jeffrey Tsao, Ph.D., M.B.A. 


