Diffusion MR Signal to Quality Data: Preprocessing & Distortion Correction
Stamatios Sotiropoulos1,2
1Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 2Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, University of Oxford, Oxford, United Kingdom
Synopsis
In this talk, I will present an overview of the issues we encounter in diffusion MRI data and the preprocessing steps needed prior to starting any data analysis. Geometric distortions due to off-resonance effects, distortions due to subject motion, artifacts from physiological noise, detection of outliers and quality control are some of the topics that will be covered. Correcting for artifacts and distortions is key in order to extract the most from the data and allow subsequent analysis in an unbiased and precise manner.
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