Abstract #1605
FID-guided retrospective motion correction based on autofocusing
Maryna Babayeva* 1,2 , Alexander Loktyushin* 3 , Tobias Kober 2,4 , Cristina Granziera 5 , Hannes Nickisch 3 , Rolf Gruetter 1,6 , and Gunnar Krueger 2,4
1
CIBM-AIT, cole Polytechnique Fdrale de
Lausanne and University of Lausanne, Lausanne,
Switzerland,
2
Advanced
Clinical Imaging Technology, Siemens Healthcare IM BM
PI, Lausanne, Switzerland,
3
Max
Planck Institute for Intelligent Systems, Tbingen,
Germany,
4
CIBM-AIT,
cole Polytechnique Fdrale de Lausanne, Lausanne,
Switzerland,
5
Departments of Clinical
Neurosciences, University Hospital Center (CHUV) and
University of Lausanne (UNIL), Lausanne, Switzerland,
6
Departments
of Radiology, Universities of Lausanne and Geneva,
Switzerland
This work investigates the possibility of using FID
navigator signals to improve the performance of a
recently proposed autofocusing-based retrospective
motion correction technique. FID navigators were
incorporated into an MPRAGE sequence and 3 subjects were
scanned at 3T while performing head movements. The
acquired data was retrospectively corrected for motion
by exploiting the FID signals to constrain the unknown
motion parameters. The results were compared against the
reconstructions obtained from a non-FID-guided version
of the algorithm, demonstrating that the use of FID
navigators for retrospective motion correction leads to
improvement in both image quality and computation time.
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