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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