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Abstract #3672

Optimizing a highly-accelerated FatNav for high-resolution motion-correction

Daniel Gallichan 1 , Jos P Marques 2 , and Rolf Gruetter 1,3

1 CIBM, EPFL, Lausanne, Vaud, Switzerland, 2 Dept. of Radiology, University of Lausanne, Vaud, Switzerland, 3 Depts. of Radiology, Universities of Lausanne and Geneva, Vaud, Switzerland

We recently introduced the concept of a very highly accelerated fat-excitation 3D-GRE acquisition as a motion-navigator to detect very small involuntary head-motion of compliant subjects for high-resolution imaging applications. In this study we investigate the accuracy and precision of the navigator at various resolutions and acceleration factors. At the highest acceleration factor used (2mm resolution, 8x8=64 acceleration) the FatNav still gives reasonable image quality, but estimated motion parameters become biased. At matched TR per volume, a 4mm resolution, 44=16 acceleration gave the best compromise between bias and accuracy, resulting in a robust navigator in 288ms.

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