WEEKEND EDUCATIONAL COURSE
Advanced Topics in Analysis of Structural and Functional MRI Data
Organizers: Vincent D. Calhoun, Ph.D. and Mark Jenkinson, Ph.D.
Skill level: Advanced
Saturday, 3 May 2008
The aim of this one-day course is to discuss intermediate to advanced level techniques for quantitative imaging and data analysis and post-processing of images and data, including artifact-correction at both the acquisition and post-acquisition phase; parameter estimation using Baysian analysis methods; segmentation and atlas construction; cardiac motion correction, GLM-based artifact correction for fMRI, multi-modal data analysis; and an introduction to general multi-variate and data-driven analysis techniques. Applications of the methods will be demonstrated in a range of body areas.
Upon completion of this course, participants should be able to:
This course is designed for individuals with some familiarity in data analysis (such as gained from attending the introductory course on Quantitative Imaging and Data Analysis at last year's meeting) and with a sound grasp of mathematics and the basic science of MRI.
The content is suitable for either clinical or basic science researchers who have some experience in analyzing MR data or designing methods for acquiring accurate quantitative data.
This course is especially suitable for students who wish to build upon a basic foundation in data analysis methods for MR, as well as for application-oriented researchers who wish to understand and apply cutting-edge methods of imaging and analysis to their problems.
|Structural, Quantitative and Cardiac MRI|
|9:00||Optimizing Acquisition of Quantitative Data||Gareth J. Barker, Ph.D.|
|9:45||Structural Artifact Correction||William Wells, Ph.D.|
|10:30 - 10:45||Meet the Teachers|
|10:50||Morphometric Analysis: Registration, Segmentation & Atlases||Sarong Joshi|
|11:35||Cardiac Motion Correction and Tracking||Jerry L. Prince, Ph.D.|
|12:20 - 12:35||Meet the Teachers|
|13:45||Multi-modal Data Analysis (EEG/FMRI/DWI)||Hae-Jeong Park, Ph.D.|
|14:30||Bayesian Analysis and Estimation||Michael Chappell, Ph.D.|
|15:15 - 15:30||Meet the Teachers|
|15:45||Functional Artifact Correction||Terry Oakes, Ph.D.|
|16:30||Multi-variate and Data-driven Analysis||Tulay Adali, Ph.D.|
|17:15||Pattern Classification: SVM and Related Techniques||James Haxby, Ph.D|
|18:00 - 18:15||Meet the Teachers|