Abstract #0816
3D FatNav: Prospective Motion Correction for Clinical Brain Imaging
Magnus Mrtensson 1,2 , Mathias Engstrm 2,3 , Enrico Avventi 3 , Ola Norbeck 3 , and Stefan Skare 2,3
1
EMEA Research & Collaboration, GE Applied
Science Laboratory, GE Healthcare, Stockholm, Stockholm,
Sweden,
2
Dept.
of Clinical Neuroscience, Karolinska Institutet,
Stockholm, Stockholm, Sweden,
3
Dept.
of Neuroradiology, Karolinska University Hospital,
Stockholm, Stockholm, Sweden
In this work we have shown that the previously reported
technique FatNav can be used in a clinical setting. A
3dFatNav navigation sequence have been added to a
clinical T1 imaging sequence, with and without FatSat.
The imaging sequence is prospectively corrected with
motion estimates from the navigator sequence which is an
EPI based 3dFatNav sequence. Using only the fat signal,
which is very spares, extreme acceleration factors can
be used, in this work we have used R=16 with a standard
clinical 8-ch coil. The high acceleration factors allow
for a very short acquisition time for the navigator,
<5ms. Using this technique motion artifacts can be
greatly reduced, without affecting the main sequence
since only the fat signal is used for navigation, not
touching water signal, and without increasing the scan
time more then ~2-5 %.
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