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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

· Self-navigated multi-shot DWI reconstruction algorithms can correct for shot-specific rigid in-plane motion and corrupted outliers.

· In this way navigator-free, efficient DWI acquisition schemes become possible at 7T.

Figure 4: Colored FA maps and rigid parameters of 4-shot 15-direction DTI datasets recovered by SEDIMENT. a: Maps of two subjects acquired statically without (left column) and dynamically with voluntary in-plane motion (center and right column). b: Rigid parameters throughout multi-shot DTI experiment (shot index is a surrogate for time). The severe misalignment artifacts (arrows) are effectively mitigated by rigidly corrected SEDIMENT. Note the slight through-plane motion between the datasets for subject 2.
Figure 3: Shot rejection for 4-shot 15-direction DTI reconstructed by SEDIMENT. a: Multi-shot images for two diffusion orientations (rows) with and without rejections (columns). b: Convergence. The images for orientation 1 are similar, whereby faster convergence is achieved by temporal shot rejection during initial iterations. Orientation 2 shows wave artifacts from motion corrupted diffusion encoding. The additional k-space offset shot rejection recovers image quality and solves the convergence issues.