Abstract #1045

Donald B, Welsh R, Noll D, Fessler J

Diffusion Tensor Imaging (DTI) is an emerging tool for analyzing the health of brain white matter. It also offers the potential to track connectivity between brain regions. There are often problems with field inhomogeneity distortions and shot-to-shot phase variations owing to bulk patient motion during the large DTI gradients. In this study we examine an image reconstruction approach that iteratively corrects for both of these issues. Results show improved feature resolution and functional anisotropy maps in the frontal lobes and corpus callosum over an equivalent sequence without field inhomogeneity correction.