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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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