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Abstract #1299

Correcting diffusion data for off-resonace effects, movement-induced signal loss and intra-volume movement.

Jesper L. R. Andersson1, Mark S. Graham2, Ivana Drobnjak2, Hui Zhang2, Nicola Filippini1, and Matteo Bastiani1

1Oxford University, Oxford, United Kingdom, 2University College London

An intra-volume movement model was added to an existing framework for correcting off-resonance distortions, movement-induced signal dropout and subject movement in diffusion data. It was validated on highly realistic simulated data with "normal" and "high" levels of subject movement. The results show that slice-wise movement parameters can be estimated with an accuracy of ~0.2mm and ~0.2degrees for translations and rotations respectively. The simulations also show that the method substantially decreases the difference in fidelity of FA between subjects who move a lot and subjects who move a little. We finally demonstrate how the method corrects telltale signs of intra-volume movement in real data.

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