Abstract #1604
Motion detection for 3D radial balanced SSFP sequences
Matthias Schloegl 1 , Clemens Diwoky 1 , and Rudolf Stollberger 1
1
Institute of Medical Engineering, Graz
University of Technology, Graz, Austria
A novel method for intrinsic qualitative motion
information detection for 3D radial balanced SSFP
sequences is presented. Validation was performed for
potential applications of correction for rigid head
motion and self-gating cardiac CINE imaging. The
comparison was carried out with low-resolution
navigators and in the second case by comparison to the
matched ECG signal. Results show that the method
effectively captures motion variations or can serve as
an ECG surrogate not requiring any additional external
devices or internal navigators.
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