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Abstract #1827

Self-navigated free-breathing ZTE lung imaging

Jose de Arcos1, Ana Beatriz Solana2, Jonathan Weir-McCall3,4, Emil Ljungberg5,6, Joshua D Kaggie3, and Florian Wiesinger2
1GE HealthCare, Little Chalfont, Amersham, United Kingdom, 2ASL Europe, GE HealthCare, Munich, Germany, 3Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 4University of Cambridge School of Clinical Medicine, Royal Papworth Hospital, Cambridge, United Kingdom, 5Medical Radiation Physics, Lund University, Lund, Sweden, 6Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom

Synopsis

Keywords: Motion Correction, Motion Correction, Self-navigationHere we propose a self-navigated technique, based on the extraction of respiratory motion estimates using interleaved spiral phyllotaxis trajectories in 3D radial zero echo time (ZTE) acquisitions. These are particularly well-suited to capture the short T2* signal, characteristic of lung parenchyma, and have high acquisition efficiency allowing to generate fast temporal resolution navigators. The self-navigation technique worked robustly for different respiratory patterns and on 1.5T and 3.0T fields strengths, obtaining high quality images comparable to the ones obtained with bellows-gating.

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Keywords