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Abstract #1182

On the possibility of reconstructing arbitrary FOVs using gradient waveforms with low-coherent aliasing properties

Tobias Speidel1, Patrick Metze1, Kilian Stumpf1, Thomas Hüfken1, and Volker Rasche1
1Internal Medicine II, Ulm University Hospital, Ulm, Germany

The calculation of k-space trajectories in MRI usually involves prior knowledge of the FOV, since the desired FOV defines a minimum k-space sampling density. The reconstruction of a FOV which is larger than what is represented by the primary sampling density is equal to undersampling in k-space. Arising artefacts are strictly dependent on the underlying k-space trajectory, which leads to advantages for k-space trajectories with low-coherent aliasing properties, also for the combination with non-linear reconstruction techniques. Based on a generalised form of the "Seiffert-Spirals", this abstract describes an imaging modality that does not require prior commitment to an imaging FOV.

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