Distortion correction of DKI data: affine approach

TitleDistortion correction of DKI data: affine approach
Publication TypeConference Abstract
Year of Publication2011
AuthorsM. Kudzinava, A. Leemans, W. Philips, D. Perrone, J. Aelterman, J. Dudink, and J. Sijbers
Conference Name10th Belgian Day on Biomedical Engineering – joint meeting with IEEE EMBS Benelux Chapter
Date PublishedDecember
Keywordsmedical imaging

In this work, the performance of FMRIB’s Linear Registration Tool (FLIRT) is evaluated with respect to motion and distortion correction of diffusion kurtosis imaging (DKI) data. FLIRT is tested on two DKI datasets heavily distorted by motion and eddy currents artefacts. Six different criteria are used for evaluation. Our results show that distortion correction using FLIRT substantially improves the original data. However, being an affine registration tool, FLIRT cannot cope with the amount of non-linear distortion present in DKI datasets. Hence, we conclude that, for correction of DKI data, non-linear registration techniques are more suitable.