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Abstract #3057

Undersampled Reconstruction of Multiple 3D High-Resolution Respiratory Phases Using Non-Rigid Registration

Christian Buerger1, Andrew Peter King1, Tobias Schaeffter1, Claudia Prieto1

1Division of Imaging Sciences, King's College London, London, United Kingdom

A method for reconstructing multiple high-resolution respiratory phases from free-breathing 3D-MRI is presented. The proposed method combines an undersampled self-gating acquisition with a non-rigid image registration scheme. This approach uses all the acquired data to reconstruct a single high spatial resolution (HSR) phase at the most visited respiratory position and multiple respiratory resolved (RR) images at the remaining phases followed by an improving of image quality for all RR images (suffering from remained aliasing artifacts) using a registration procedure. This aligns the features of HSR with the remaining RR phases, leading to a sequence of time-resolved high resolution respiratory phases.