ISMRM 23rd Annual Meeting & Exhibition 30 May - 05 June 2015 Toronto, Ontario, Canada

WEEKEND EDUCATIONAL COURSE
Imaging Acquisition & Reconstruction
SKILL LEVEL: Intermediate to Advanced
ORGANIZERS: N. Jon Shah, Ph.D. & Xiaohong Joe Zhou, Ph.D., D.A.B.R.
Sunday, 31 May 2015
 
OVERVIEW
This course will describe commonly used imaging pulse sequences and their building blocks, data acquisition and artifact suppression strategies and basic and advanced image reconstruction techniques.
 
TARGET AUDIENCE
Medical physicists and engineers, pulse sequence developers and clinicians who want to deepen their understanding of MRI acquisition and reconstruction methods.
 
EDUCATIONAL OBJECTIVES

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

  • Develop a systematic understanding of pulse sequence building blocks and components;
  • Apply advanced data acquisition strategies, their potential and limitations;
  • Describe common approaches to address motion;
  • Discuss the state-of-the-art fast imaging techniques;
  • Review advanced image reconstruction algorithms; and
  • Identify common artifacts and understand how to reduce them.
 

PROGRAM

Moderators: Priti Balchandani, Ph.D. & Maxim Zaitsev, Ph.D.

     
    Pulse Sequence Building Blocks
08:30 RF Pulses Designs: From Basics to the State-of-the-Art
Michael Garwood, Ph.D.
09:00 Gradients: Spatial Encoding, Contrast Manipulation & Artifact Management
Yong Zhou, Ph.D.
09:30 Dealing with Motion: Gating, Triggering & Sampling
Frederick H. Epstein, Ph.D.
     
10:00   Break & Meet the Teachers
     
    Contrast Manipulation
10:30 Magnetization-Preparation Modules (Saturation, Inversion & T2-preparation)
Pippa Storey, Ph.D.
11:00 Pulse Sequence Modules II: (Tagging, Labeling, Diffusion Sensitization & MT)
Peter Jezzard, Ph.D.
11:30 Flow Contrast Without Using Exogenous Agent
Yiping P. Du, Ph.D.
     
12:00   Lunch & Meet the Teachers
     
    Advanced Acquisition Strategies
13:30 Echo-Train Pulse Sequences: EPI, RARE & Beyond
Oliver Speck, Ph.D.
14:00 Non-Cartesian k-Space Sampling
Kevin F. King , Ph.D.
14:30 Spoiled & Balanced Gradient-Echo Sequences
Brian A. Hargreaves, Ph.D.
15:00   Break & Meet the Teachers
     
    Image Reconstruction
15:30 Reconstruction of Non-Cartesian k-Space Data
Ricardo Otazo, Ph.D.
16:00 Parallel Imaging Reconstruction
Felix Breuer, Ph.D.
16:30 Phase-Sensitive Image Reconstruction (Dixon, Temperature Mapping, Phase Imaging, SWI, PS-IR, MRE, etc.)
E. Mark Haacke, Ph.D.
17:00 Compressed Sensing
William A. Grissom, Ph.D.
     
17:30   Adjournment & Meet the Teachers