Weekend Educational Course:
Quantitative Imaging and Data Analysis
Organizers: Vince D. Calhoun, Ph.D. and Alan Connelly, Ph.D.
 
Skill Level: Intermediate
 
Saturday, 18 April 2009
08:00 - 12:30

OVERVIEW
This half-day course will provide a detailed overview of the methodological issues that are important when undertaking quantitative analyses. It will cover intermediate level topics in quantitative MRI, and presenters will be physicists and image processing scientists with extensive technical experience. The theory underlying many current approaches to quantification will be discussed, and potential problems and artifacts will be highlighted and explained.
 
The topics covered will include:
  • MR parameter mapping
  • Dealing with data imperfections
  • Image registration, segmentation, and morphological analysis
  • Cardiac motion modelling
  • Spectroscopy modelling and analysis
 
EDUCATIONAL OBJECTIVES     
Upon completion of this course, participants should be able to:
  • Recognize the additional scientific value of quantitative methods for analysis of MR data;
  • Explain the theoretical principles underlying many current approaches to quantitative analyses;
  • Select appropriate methods to minimize contamination of data that are to be analyzed quantitatively; and
  • Identify the techniques most suitable for particular applications.
 

Saturday, 18 April 2009
     
08:00 Introduction: Course Overview Vince D. Calhoun, Ph.D., Moderator
08:15 Mapping of Quantitative MR Parameters Gareth J. Barker, Ph.D.
08:45 Artifacts, Noise, Filtering and Compensation Techniques Geoffrey J.M. Parker, Ph.D.
09:15 Image Registration and Motion Correction Mark Jenkinson, Ph.D.
09:45 Image Segmentation Simon K. Warfield, Ph.D.
10:15 Break - Meet the Teachers  
     
10:45 Quantitative Morphology: Volumes, Shapes and Voxel-Based Measures Olivier Salvado, Ph.D.
11:15 Cardiac Motion Estimation and Modeling Elliot R. McVeigh, Ph.D.
11:45 Spectroscopy Modeling and Analysis Else Rubęk Danielsen, Ph.D.
12:15 Adjournment - Meet the Teachers