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Abstract #2677

A Data Driven Nyquist Ghost and Gradient Delay Correction for Navigator-Free 3D Planes on a Paddlewheel (POP) EPI

Daniel Stäb1, Tobias Wech2,3, and Markus Barth1

1The Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 2Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany, 3Comprehensive Heart Failure Centre, University Hospital Würzburg, Würzburg, Germany

3D planes-on-a-paddlewheel (POP) echo-planar imaging (EPI) is an effective non-Cartesian readout scheme realized by rotating conventional EPI readout planes about the phase encoding axis. Navigator based phase correction schemes are typically employed to account for gradient timing errors, associated trajectory errors and artifacts. In this work, we propose to use “Self Consistency for an Iterative Trajectory Adjustment” SCITA for an improved and purely data-driven removal of trajectory misalignment artifacts. As the actual k-space trajectory is derived from the imaging data, navigator acquisitions can be omitted and echo, repetition and acquisition times may be considerably shortened.

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