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Abstract #3572

Generalized MAGSTE with Improved Diffusion-Weighting Efficiency

Jrgen Finsterbusch1,2

1Dept. of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; 2Neuroimage Nord, Hamburg-Kiel-Lbeck, Germany

Cross terms of background gradients with diffusion gradients often hamper the accurate determination of diffusion coefficients in MR experiments, in particular if microscopic background gradients are present which vary within a voxel. For diffusion weighting based on a stimulated echo preparation several approaches that inherently null these cross terms have been presented in the past. The generalized MAGSTE technique is the most appropriate for echo-planar imaging acquisitions because it takes long fill time contributions of the echo train into account. Here, an extension of the generalized MAGSTE technique is presented that increases the diffusion-weighting efficiency without sacrificing the cross-term compensation.