Abstract #1613

Retrospective reconstruction using recorded cardiac and respiration data of 3D radial acquisition of a human torso

Daniel Güllmar¹, Georg Hille², Martin Krämer¹, Karl-Heinz Herrmann¹, Jürgen R Reichenbach¹, and Jens Haueisen²

¹Medical Physics Group / IDIR, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany, ²Institute of Biomedical Engineering and Informatics, Faculty of Computer Science and Automation, Technical University Ilmenau, Ilmenau, Germany

The aim of the study was to acquire 3D radially sampled k-space data of a human torso without breath hold and prospective cardiac triggering. Respiration and cardiac pulsation were continuously recorded simultaneously with MR imaging over a time frame of 1 h. Retrospective data motion triggering was used to reconstruct 8 up to 10 different respiration phases and 12 up to 20 different cardiac cycle phases, resulting in 96 up to 200 different phase combinations. Image quality was evaluated based on SNR, CNR and under sampling artifacts.

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