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Abstract #3203

Improved Accuracy of Motion and Affine Eddy Current Distortion Correction in High B-Value Diffusion Weighted Imaging Using Brain Mask Based Weighting Functions

Christopher Leslie Adamson1, Richard Beare1, Deanne Thompson1, Marc Seal1

1Developmental Imaging, Murdoch Childrens Research Institute, Parkville, VIC, Australia

We present an improved method for correction of affine distortions in high b-value diffusion weighted imaging due to eddy currents and subject movement. We show that our method improves the alignment and scaling of the registration results. The improved registration has implications for DTI and tractography applications.

Keywords

accuracy accurate adding adolescent affine apply argument arrows artificial artificially automated background bars benefit bottom boundary brain calculations cause chosen cohort coils collaborative commonly comparing compute conducting correct correction corrects correlation cost creates dataset decreased decreases denote derived developmental diffusion dilate dimension dimensions distortion distortions eddy edges efficient erode error errors evaluate every excess excluded existing expanded expansion expansions expensive extraction extremities fail fast flirt frontal function functions global gradient healthy highlight human implausible implications improve improved improves infant intensity issue iterations iteratively kernels largely leads least mapping mask match matrices modification modified motion mutual nonsensical novel option original outer overlaid panel panels partial pipeline processing produced profound pronounced proposes protocol reasonable reduces registered registering registration removing repeat representative researcher respectively robust scaling scalp script seal sequentially severe shrinks similarly smith smooth space steps studies subject support surfaces target template tool translation unaffected unweighted variation varying visual volume volumes volunteers widely