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Abstract #4343

Segmented Diffusion Imaging with Iterative Motion Corrected Reconstruction for Self-navigated Brain Echo-planar Imaging at 7T

Malte Steinhoff1, Itamar Ronen2, Andrew Webb2, Alfred Mertins1, and Peter Börnert2,3
1Institute for Signal Processing, University of Luebeck, Luebeck, Germany, 2Department of Radiology, LUMC, Leiden, Netherlands, 3Philips Research Europe, Hamburg, Germany

Segmented diffusion imaging with iterative motion corrected reconstruction (SEDIMENT) is studied at 7T for self-navigated multi-shot DWI reconstruction including rigid in-plane motion correction. Motion-corrupted datasets contain intra-shot motion corrupted data with imperfect diffusion-sensitizing gradient reversal, which have to be identified and removed. The iterative SEDIMENT framework is evaluated in-vivo in conjunction with tailored data rejection strategies to detect corrupted shot datasets and generally improve convergence. The proposed algorithm provides high-quality multi-shot DWI and DTI reconstructions in the presence of gross motion allowing for efficient navigator-free DWI acquisition schemes.

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